Embedded newform data - 927.2.a.b.1.1

Formats: - HTML - YAML - JSON - 2025-03-17T22:20:21.058149

• 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': 3708, 'analytic_conductor': 7.402132267372692, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [103, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [927, 1, [722, 829], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 5, 'field_disc_factorization': [[5, 1]], 'field_poly': [-1, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 10, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [1, -3, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660925855, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '927.2.a.b', 'level': 927, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 103], 'level_radical': 309, 'minimal_twist': '103.2.a.a', 'nf_label': '2.2.5.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(1+\\beta )q^{2}+3\\beta q^{4}+(2-\\beta )q^{5}-q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '927.2.a', 'trace_display': [3, 0, 3, -2], 'trace_hash': 1261420987476471075, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.027', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.963', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.123', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.764', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.822', 'prec': 17}, {'__RealLiteral__': 0, 'data': '68.105', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.017', 'prec': 17}, 'traces': [2, 3, 0, 3, 3, 0, -2, 6, 0, 2, 3, 0, -3, -3, 0, 13, 9, 0, 5, -3, 0, 7, 0, 0, -3, -12, 0, -3, 6, 0, 0, 15, 0, 16, -3, 0, 0, 15, 0, -1, 0, 0, -4, 12, 0, -10, 3, 0, -12, -12, 0, -27, 9, 0, 2, -6, 0, 14, -15, 0, 15, -15, 0, 4, 3, 0, 2, 21, 0, -2, -3, 0, -15, 15, 0, 30, -3, 0, 7, 12, 0, -20, -3, 0, 11, -21, 0, 19, 18, 0, 3, -30, 0, -8, 0, 0, 10, -18, 0, -27, -15, 0, -2, -39, 0, 1, 3, 0, 1, 3, 0, -13, 30, 0, 10, 24, 0, -20, -9, 0, -15, 15, 0, -45, -12, 0, -3, -9, 0, -3, 0, 0, -5, 33, 0, 37, 12, 0, -29, 3, 0, 8, -12, 0, 4, -30, 0, 45, 6, 0, -38, 45, 0, -7, 15, 0, 20, -12, 0, 15, 0, 0, -8, -60, 0, 13, -18, 0, 1, 9, 0, -51, -3, 0, 3, 27, 0, 12, 9, 0, 1, 12, 0, -40, -15, 0, 16, -33, 0, 5, -9, 0, 0, 0, 0, -18, 6, 0, -20, -39, 0, -10, -6, 0, 20, -3, 0, -42, 15, 0, 23, -24, 0, 17, 9, 0, 0, -21, 0, 3, -21, 0, 2, -15, 0, 45, 12, 0, 0, 0, 0, 38, 18, 0, 17, -15, 0, -16, -33, 0, 17, -15, 0, 0, -18, 0, -30, -60, 0, -13, -18, 0, -10, 33, 0, -9, 18, 0, 0, -18, 0, 5, 39, 0, 26, -15, 0, 93, -9, 0, 2, 66, 0, 33, -12, 0, -4, -36, 0, 1, 54, 0, -26, 33, 0, -33, 0, 0, 9, 6, 0, -45, 12, 0, -25, 60, 0, 19, 30, 0, 4, -57, 0, 55, 30, 0, 1, -12, 0, 0, 30, 0, 46, 45, 0, -57, -30, 0, 14, -9, 0, 10, 30, 0, 27, 3, 0, -80, -3, 0, -39, 48, 0, -27, -27, 0, -25, 24, 0, -6, -15, 0, 26, -72, 0, -37, -6, 0, 4, 12, 0, 30, 21, 0, -17, -18, 0, 21, -45, 0, -3, 9, 0, 27, -15, 0, 53, -30, 0, 0, -9, 0, 15, 39, 0, -41, -24, 0, 10, 15, 0, -16, -24, 0, -2, 45, 0, -30, 12, 0, -10, -36, 0, 39, 33, 0, 40, -60, 0, -42, 12, 0, 45, 15, 0, -14, 15, 0, 60, 0, 0, -3, 15, 0, -22, -45, 0, 40, -3, 0, 6, 42, 0, -23, -21, 0, -15, 42, 0, -4, -24, 0, 2, 15, 0, -66, -30, 0, 39, 6, 0, -69, 51, 0, 42, 18, 0, -4, -18, 0, -20, 45, 0, -2, -3, 0, -13, 15, 0, -30, 27, 0, -16, 54, 0, 67, -24, 0, -2, 3, 0, -35, -21, 0, -30, -21, 0, -32, 6, 0, -45, -12, 0, 0, 30, 0, -46, 15, 0, -12, 0, 0, 32, -75, 0, -45, 3, 0, -7, -3, 0, -32, 18, 0, -35, -30, 0, 108, -51, 0, 15, -18, 0, 37, -3, 0, -8, -15, 0, -21, -12, 0, -48, 15, 0, 61, -15, 0, -6, 9, 0, -30, 60, 0, -8, 126, 0, -31, -18, 0, 25, 3, 0, 75, 24, 0, 29, 63, 0, -33, 30, 0, -7, 9, 0, -21, 3, 0, 51, -12, 0, 91, 27, 0, 45, -54, 0, 41, -15, 0, -25, -63, 0, 20, 30, 0, -20, 36, 0, 6, 3, 0, 1, -75, 0, 53, 36, 0, -45, -15, 0, 45, 18, 0, -11, 39, 0, 60, 15, 0, -13, 21, 0, -57, -30, 0, -2, 60, 0, 15, 33, 0, 22, -6, 0, -19, 27, 0, 3, -45, 0, 5, -18, 0, -8, 54, 0, 75, 15, 0, 51, -69, 0, -75, -42, 0, 18, 36, 0, -26, 30, 0, 10, 30, 0, 85, -45, 0, -20, 63, 0, 33, 6, 0, -5, -60, 0, 8, -24, 0, -43, -51, 0, 61, 0, 0, -20, -27, 0, 2, 15, 0, -62, -15, 0, 69, -51, 0, -10, 3, 0, -45, -90, 0, 3, 39, 0, -71, 24, 0, 9, -102, 0, 1, -51, 0, -20, 36, 0, 27, 27, 0, 45, 21, 0, 64, 15, 0, -49, -3, 0, -6, 60, 0, -3, 36, 0, -50, -63, 0, 2, 33, 0, 24, -24, 0, -43, 39, 0, -15, -33, 0, 16, 57, 0, -30, 33, 0, 20, 45, 0, -1, -48, 0, -1, -45, 0, 69, -3, 0, -48, -18, 0, -66, -57, 0, -56, 15, 0, 20, 6, 0, -1, -21, 0, -11, 15, 0, -11, -3, 0, 135, 42, 0, 45, -30, 0, -12, -60, 0, 8, -60, 0, -78, 15, 0, 60, 99, 0, 7, -30, 0, 0, 60, 0, -120, 60, 0, 1, -45, 0, 58, -30, 0, -10, 90, 0, 5, 12, 0, -24, -24, 0, 45, -27, 0, -55, 105, 0, -60, -66, 0, 27, -6, 0, 20, 0, 0, -5, -3, 0, -51, -54, 0, -27, 75, 0, 8, -45, 0, -30, 9, 0, 57, -21, 0, 15, 21, 0, -69, -60, 0, -55, -15, 0, 59, -12, 0, 1, -39, 0, -86, 30, 0, 28, 33, 0, 45, -12, 0, -93, -87, 0, -70, 12, 0, -26, 81, 0, 13, -24, 0, 52, -144, 0, 54, 18, 0, 3, 18, 0, 48, -30, 0, 6, 9, 0, 23, -30, 0, 28, -60, 0, 90, -6, 0, 26, -42, 0, 3, -9, 0, 13, -27, 0, 45, 0, 0, -9, -30, 0, -17, -33, 0, -45, -54, 0, 60, -12, 0, -30, 147, 0, -1, 9, 0, -22, -33, 0, -42, -27, 0, 80, -90, 0, -59, 6, 0, 45, -75, 0, -37, 18, 0, -11, 3, 0, -16, -12, 0, 28, -90, 0, -87, -45, 0, -2, -15, 0, 10, 30, 0, 29, -69, 0, 75, -51, 0, 12, 18, 0, -80, -6, 0, -21, 78, 0, -135, 60, 0, 15, -45, 0, -8, 0, 0, -92, 27, 0, -16], '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], [0.2700907567377265, 0.0], [0.0, 0.0], [-0.9270509831248422, 0.0], [1.1708203932499368, 0.0], [0.0, 0.0], [-0.37796447300922725, 0.0], [-0.5204786583043683, 0.0], [0.0, 0.0], [0.31622776601683794, 0.0], [0.1151670856350244, 0.0], [0.0, 0.0], [0.5142353622501415, 0.0], [-0.10208471053503816, 0.0], [0.0, 0.0], [0.7864745084375788, 0.0], [0.8202472403901782, 0.0], [0.0, 0.0], [-0.19594442938746115, 0.0], [-1.0854101966249685, 0.0], [0.0, 0.0], [0.031105565310442285, 0.0], [0.9325048082403138, 0.0], [0.0, 0.0], [0.37082039324993693, 0.0], [0.13889021813143962, 0.0], [0.0, 0.0], [0.35039233628946703, 0.0], [0.14185861526245575, 0.0], [0.0, 0.0], [1.2048289933537484, 0.0], [0.7328981534432055, 0.0], [0.0, 0.0], [0.22154119786901505, 0.0], [-0.4425285129231686, 0.0], [0.0, 0.0], [-1.1028219331407116, 0.0], [-0.05292277921180139, 0.0], [0.0, 0.0], [-0.6093870273941201, 0.0], [1.3968605915391563, 0.0], [0.0, 0.0], [0.7179943685405009, 0.0], [-0.10676575996157227, 0.0], [0.0, 0.0], [0.25186092931919485, 0.0], [1.0342075785636446, 0.0], [0.0, 0.0], [-0.8571428571428571, 0.0], [0.10015516062665678, 0.0], [0.0, 0.0], [-0.47672239813155315, 0.0], [1.3859914338115396, 0.0], [0.0, 0.0], [0.13483997249264842, 0.0], [0.19672244179856024, 0.0], [0.0, 0.0], [0.03831470074600266, 0.0], [-1.1219724597910745, 0.0], [0.0, 0.0], [1.389725350232121, 0.0], [0.32541317455446706, 0.0], [0.0, 0.0], [-0.5885254915624212, 0.0], [0.6020772490527345, 0.0], [0.0, 0.0], [-1.516905649768154, 0.0], [-0.7604110106091535, 0.0], [0.0, 0.0], [-0.11952286093343936, 0.0], [-0.841448364271922, 0.0], [0.0, 0.0], [-0.48524066202831895, 0.0], [-0.2978620104689372, 0.0], [0.0, 0.0], [0.1816504759014821, 0.0], [-0.04352906683005054, 0.0], [0.0, 0.0], [1.5258786275340206, 0.0], [0.9208203932499369, 0.0], [0.0, 0.0], [0.37727913422591897, 0.0], [-1.0236876039137135, 0.0], [0.0, 0.0], [0.9603621965558039, 0.0], [0.19392364233252996, 0.0], [0.0, 0.0], [-0.059942010212141794, 0.0], [1.6650662867156898, 0.0], [0.0, 0.0], [-0.1943626976955838, 0.0], [-0.8644794992478254, 0.0], [0.0, 0.0], [0.27932990751814646, 0.0], [-0.22941573387056177, 0.0], [0.0, 0.0], [1.1887879963465593, 0.0], [-0.23150636291805124, 0.0], [0.0, 0.0], [-0.34376941012509465, 0.0], [-1.302520592019973, 0.0], [0.0, 0.0], [-0.09853292781642932, 0.0], [-0.26764853139661454, 0.0], [0.0, 0.0], [0.37434347519016525, 0.0], [-0.3954116531020466, 0.0], [0.0, 0.0], [1.0116854222368261, 0.0], [0.03641903020903363, 0.0], [0.0, 0.0], [-0.29725942311680054, 0.0], [1.4110813025753959, 0.0], [0.0, 0.0], [1.0917956462913811, 0.0], [-0.13151016874378835, 0.0], [0.0, 0.0], [-0.3030343907038597, 0.0], [-0.3100243159513466, 0.0], [0.0, 0.0], [-0.986736542386335, 0.0], [0.3753519715017955, 0.0], [0.0, 0.0], [-1.1169379027859063, 0.0], [-0.7366563145999495, 0.0], [0.0, 0.0], [-1.6212455829109391, 0.0], [-0.8918534488187423, 0.0], [0.0, 0.0], [0.16261549981122167, 0.0], [-0.19536616629114087, 0.0], [0.0, 0.0], [0.07406003299252549, 0.0], [-0.4097021948456133, 0.0], [0.0, 0.0], [-0.42692118315614064, 0.0], [-0.060505945295596004, 0.0], [0.0, 0.0], [-1.5143651637150384, 0.0], [0.4102464929661979, 0.0], [0.0, 0.0], [-0.22726742546192555, 0.0], [0.05922298800081984, 0.0], [0.0, 0.0], [0.16609095970747995, 0.0], [-0.13105901760714403, 0.0], [0.0, 0.0], [1.0223721573297357, 0.0], [-0.12060207656794372, 0.0], [0.0, 0.0], [-1.5461980716652028, 0.0], [0.10198489370980084, 0.0], [0.0, 0.0], [-0.011756798600215418, 0.0], [1.4106383557973612, 0.0], [0.0, 0.0], [0.2627139267814349, 0.0], [0.41212571320058705, 0.0], [0.0, 0.0], [0.8580921042265265, 0.0], [-0.3524536884251207, 0.0], [0.0, 0.0], [-0.838731263073227, 0.0], [-1.2949609846747236, 0.0], [0.0, 0.0], [-0.27648855960408486, 0.0], [-0.6964409092807232, 0.0], [0.0, 0.0], [-0.7355619922114657, 0.0], [0.25938495241006226, 0.0], [0.0, 0.0], [-0.6656173852335717, 0.0], [0.9909902633013687, 0.0], [0.0, 0.0], 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[0.0, 0.0], [-0.8154072192794, 0.0], [0.020920155913788922, 0.0], [0.0, 0.0], [-0.0935533524858545, 0.0], [-0.7381874449091635, 0.0], [0.0, 0.0], [-0.9798761332758186, 0.0], [0.03949025412336362, 0.0], [0.0, 0.0], [-0.5198779056090979, 0.0], [-0.8612109809807352, 0.0], [0.0, 0.0], [0.37295135724199807, 0.0], [1.0900469316056258, 0.0], [0.0, 0.0], [0.08215199411485025, 0.0], [-1.0283867552865915, 0.0], [0.0, 0.0], [-0.36737074635450406, 0.0], [-0.14186971010165061, 0.0], [0.0, 0.0], [0.20580332668446555, 0.0], [-0.1285734686387874, 0.0], [0.0, 0.0], [-0.3262616669509245, 0.0], [-0.7793184087331652, 0.0], [0.0, 0.0], [0.13479051649024656, 0.0], [0.282256020681427, 0.0], [0.0, 0.0], [1.1602716097853671, 0.0], [-0.16116166432587586, 0.0], [0.0, 0.0], [0.4221628458105066, 0.0], [0.17573099456586402, 0.0], [0.0, 0.0], [-0.780046526307813, 0.0], [-0.5265606711919116, 0.0], [0.0, 0.0], [-0.04935074608044532, 0.0], [0.2784299157366894, 0.0], [0.0, 0.0], [-0.4389788087445633, 0.0], [0.12165875232669923, 0.0], [0.0, 0.0], [0.10604820108389232, 0.0], [0.19839008204506678, 0.0], [0.0, 0.0], [1.5522167735844579, 0.0], [-0.3910302314995943, 0.0], [0.0, 0.0], [0.45634970265954855, 0.0], [1.9539463490428541, 0.0], [0.0, 0.0], [0.6127732323634705, 0.0], [0.5265401921180544, 0.0], [0.0, 0.0], [0.3543648750423002, 0.0], [-0.20264721384984125, 0.0], [0.0, 0.0], [0.10027894056973134, 0.0], [0.33708891878423775, 0.0], [0.0, 0.0], [-0.3997348556556693, 0.0], [0.17091537262522122, 0.0], [0.0, 0.0], [1.1368556487883417, 0.0], [0.04345013835970427, 0.0], [0.0, 0.0], [-0.7344377031228225, 0.0], [-0.2483822035466133, 0.0], [0.0, 0.0], [1.099884682105577, 0.0], [-0.9195290436282924, 0.0], [0.0, 0.0], [-0.061462881689280484, 0.0], [-0.630639193349506, 0.0], [0.0, 0.0], [-0.11789511794344357, 0.0], [-0.0397462594923564, 0.0], [0.0, 0.0], [0.4109529804438588, 0.0], [0.07384147008606412, 0.0], [0.0, 0.0], [0.626050000372623, 0.0], [-0.5682563331242888, 0.0], [0.0, 0.0], [0.4932976665971166, 0.0], [-0.4327025044161609, 0.0], [0.0, 0.0], [-0.4089488629318943, 0.0], [0.06798773707197549, 0.0], [0.0, 0.0], [0.10396791717586394, 0.0], [0.09659842791461976, 0.0], [0.0, 0.0], [0.16795236804639527, 0.0], [0.5398290803479482, 0.0], [0.0, 0.0], [-0.34560920656187805, 0.0], [0.1106021153313824, 0.0], [0.0, 0.0], [-0.35935433621164065, 0.0], [0.15485287416554597, 0.0], [0.0, 0.0], [-1.122539451199798, 0.0], [-1.6428340135719568, 0.0], [0.0, 0.0], [1.3025792180516722, 0.0], [-0.8824027387946866, 0.0], [0.0, 0.0], [0.022333620723166317, 0.0], [-1.1377746793669081, 0.0], [0.0, 0.0], [-0.24952790761663113, 0.0], [-0.019624845799199778, 0.0], [0.0, 0.0], [0.1613610400080865, 0.0], [1.0158720639503558, 0.0], [0.0, 0.0], [-0.28651201125877096, 0.0], [1.4587457990186423, 0.0], [0.0, 0.0], [0.17499619488860552, 0.0], [0.022869097727575075, 0.0], [0.0, 0.0], [0.45161290322580644, 0.0], [-0.15317117885404938, 0.0], [0.0, 0.0], [-1.5090690127809967, 0.0], [-1.6960518909878444, 0.0], [0.0, 0.0], [0.3992847590255293, 0.0], [0.5135753116811311, 0.0], [0.0, 0.0], [0.37592777235230534, 0.0], [-0.7385273092331235, 0.0], [0.0, 0.0], [0.5723762310470866, 0.0], [-0.2814965503487225, 0.0], [0.0, 0.0], [1.0929835616870494, 0.0], [-0.13620482837484948, 0.0], [0.0, 0.0], [0.19176083163017793, 0.0], [0.9303515971071158, 0.0], [0.0, 0.0], [0.43608782351392456, 0.0], [0.4035513066711351, 0.0], [0.0, 0.0], [-0.8689106935448345, 0.0], [0.031427527553284186, 0.0], [0.0, 0.0], [0.09341109827810926, 0.0], [0.669533200953485, 0.0], [0.0, 0.0], [-0.29448745008161864, 0.0], [0.8830169444437982, 0.0], [0.0, 0.0], [0.08589901269688052, 0.0], [0.2835524820033344, 0.0], [0.0, 0.0], [-1.669285567152623, 0.0], [-0.24508916984161344, 0.0], [0.0, 0.0], [0.3834138902544224, 0.0]], 'angles': [-0.2284409891471249, None, -0.15046673941817304, -0.2802594295809192, -0.240830222127372, -0.20861359994466444, -0.18274277593196242, -0.2656178152825005, -0.17280192876450218, -0.2387017630324922, -0.14710272317525117, -0.34295518088021576, -0.12694110642811876, -0.1915593820878021, -0.16350505792438308, -0.12814523290906876, -0.34478897106426576, -0.1277325688836779, -0.3870221987371942, -0.3191119904912502, -0.28900346162373014, -0.11187774717167083, -0.33551867413771597, -0.09344489096744305, -0.14869598985696472, -0.3628796953343488, None, -0.281674538827568, -0.16559080723394648, -0.12535211385494854, -0.4004356236841023, -0.2655715767783243, -0.2548156449110651, -0.3867123503902609, -0.2596030341067221, -0.3906472252314521, -0.22903329702308353, -0.3188737323254984, -0.3066069687182552, -0.16749331894962022, -0.24318222872662945, -0.26691367985600556, -0.2695223597626205, -0.37891860927830373, -0.31050436286207056, -0.23068029834108236, -0.20476754478079773, -0.28060676042183946, -0.16741122922123355, -0.2855713543947393, -0.2970195915570001, -0.3941232739404462, -0.0986678849139913, -0.2842379225441023, -0.22744872199841842, -0.1541021452760795, 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-0.15852362237679812, -0.42247759039514027, -0.2581215661825353, -0.1930262844827018, -0.2866797433755818, -0.1820038409430232, -0.3185992793802497, -0.30484057523820685, -0.27499979183105155, -0.2577696714875612, -0.14572076223177644, -0.14012835574927401, -0.22220451270852887, -0.20213489009991836, -0.23428332269043986, -0.41472164759836144, -0.2476209452646928, -0.2105485903464889, -0.2857006442326679, -0.37949021139903744, -0.28379046673515795, -0.40250234558496206, -0.2465307828957444, -0.2463880829454237, -0.42856054992424925, -0.3227663052485482, -0.37558189069418635, -0.24620271396973833, -0.13154066610650195, -0.30136918290403536, -0.26126284026247243, -0.3586254176996563, -0.25424714681415445, -0.38848322832056864, -0.17426784899954903, -0.20224512022543442, -0.22201955304918602, -0.20769248387814507, -0.3974724587017605, -0.3476651617545184, -0.1826482584231647, -0.23139484757152992, -0.30430840873644793, -0.3101659323852025, -0.27940137899526096, -0.26023861214682, -0.27607963323177037, -0.22746354279796943, -0.2852195695450695, -0.23418661317610753, -0.10859546919790787, -0.03422071453332492, -0.1573248405143832, -0.3010558572942327, -0.19932881679219486, -0.24230994946296475, -0.27875265647507264, -0.4034080393179871, -0.3463129804396793, -0.16520431276510616, -0.21801098015253287, -0.3101950336906635, -0.26084723169857815, -0.21766440654295607, -0.27352008335531014, -0.40716294634038463], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -0.6180339887498949, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660925855, 'label': '927.2.a.b.1.1', 'level': 927, 'weight': 2}
• mf_newspaces •

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

  
  {'ALdims': [4, 14, 15, 10], 'Nk2': 3708, 'analytic_conductor': 7.402132267372692, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [927, 1, [722, 829], [1, 1]], 'conrey_index': 1, 'cusp_dim': 101, 'dim': 43, 'eis_dim': 7, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 33555359, 'hecke_orbit_dims': [1, 2, 3, 4, 5, 6, 8, 14], 'label': '927.2.a', 'level': 927, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 103], 'level_radical': 309, 'mf_dim': 108, 'mf_new_dim': 43, 'num_forms': 8, 'plus_dim': 14, 'prim_orbit_index': 1, 'relative_dim': 43, 'sturm_bound': 208, 'trace_bound': 1, 'trace_display': [2, 0, 6, 4], 'traces': [43, 2, 0, 42, 6, 0, 4, 0, 0, -2, 4, 0, 6, 10, 0, 48, -2, 0, 2, 36, 0, 24, -4, 0, 59, 9, 0, 3, 12, 0, -16, -3, 0, -4, 0, 0, 10, -3, 0, -20, -16, 0, 26, 12, 0, 1, -10, 0, 37, 4, 0, 14, 12, 0, 8, 33, 0, 0, -14, 0, 2, -6, 0, 58, 12, 0, -14, 19, 0, -72, 20, 0, 32, -22, 0, -4, 2, 0, -6, 10, 0, -21, 22, 0, 14, 2, 0, 8, 6, 0, 10, -24, 0, -48, 2, 0, 16, 37, 0, 70, 26, 0, 5, 8, 0, -32, -26, 0, -16, -74, 0, 0, 12, 0, -40, 23, 0, -12, -26, 0, 41, -2, 0, -78, 6, 0, 16, -60, 0, -98, -40, 0, 6, 22, 0, -107, 0, 0, 62, -88, 0, 24, 20, 0, 14, -84, 0, -56, 8, 0, 24, 28, 0, -42, 22, 0, -8, -45, 0, -184, 0, 0, 16, -136, 0, -62, -32, 0, 41, 80, 0, 104, -50, 0, -6, 118, 0, 16, 22, 0, -38, 9, 0, -62, -6, 0, -20, 34, 0, -108, -4, 0, 30, -128, 0, -116, 12, 0, 36, 34, 0, -22, -104, 0, -20, -10, 0, 17, -4, 0, -44, -82, 0, -82, -82, 0, 28, 22, 0, -238, 38, 0, -16, 60, 0, -180, 38, 0, -4, 0, 0, -87, 58, 0, -86, -117, 0, -89, 94, 0, -14, -78, 0, 15, 76, 0, 16, -36, 0, -88, -22, 0, 62, -8, 0, 96, 42, 0, -82, 12, 0, -33, 30, 0, 20, -125, 0, 20, 98, 0, 4, -26, 0, 51, -130, 0, 86, 56, 0, -54, -46, 0, 62, 16, 0, -50, 80, 0, 13, 62, 0, 24, 40, 0, -6, 56, 0, 39, 24, 0, 18, -76, 0, -97, -12, 0, -20, 106, 0, 104, -36, 0, 120, 130, 0, 42, 28, 0, -98, -14, 0, -25, 8, 0, 194, -22, 0, -30, 158, 0, -70, -11, 0, 102, 18, 0, 126, 188, 0, 6, 14, 0, 8, -168, 0, 146, -148, 0, 24, -96, 0, 78, 76, 0, -106, -78, 0, 90, -46, 0, 123, 38, 0, -91, 198, 0, 6, 3, 0, 216, 26, 0, 134, -28, 0, -72, 64, 0, 32, -24, 0, -66, -68, 0, -32, -44, 0, 133, 122, 0, 32, -26, 0, -32, 80, 0, 38, 86, 0, 266, 0, 0, -6, 12, 0, 105, 90, 0, 152, -92, 0, 10, 44, 0, 8, -158, 0, 136, -50, 0, 14, 116, 0, -134, 134, 0, -34, -20, 0, -96, -40, 0, -8, -36, 0, -90, 2, 0, -88, -84, 0, 127, 4, 0, -20, -135, 0, 8, -112, 0, -106, -52, 0, -182, -142, 0, 140, 54, 0, -118, -48, 0, 58, 50, 0, 228, -132, 0, -10, -50, 0, 59, -122, 0, -116, 110, 0, 112, 54, 0, 32, -94, 0, 60, 142, 0, -78, 155, 0, 116, 20, 0, 2, -30, 0, -178, -56, 0, 38, 198, 0, -290, -216, 0, 46, 26, 0, 248, -30, 0, 28, -268, 0, 96, -12, 0, -32, 90, 0, -264, -14, 0, -56, -286, 0, 90, -4, 0, 33, 34, 0, 159, 106, 0, -118, 144, 0, 251, -58, 0, -54, 70, 0, -128, -184, 0, 42, 238, 0, 326, -144, 0, 186, 272, 0, 310, -64, 0, -102, -14, 0, 28, -38, 0, 26, 0, 0, 252, 64, 0, -102, 104, 0, 11, -80, 0, -78, 205, 0, 196, 64, 0, -198, -176, 0, 152, 92, 0, -24, -12, 0, -68, 46, 0, -76, 226, 0, 180, 172, 0, -96, 52, 0, 2, 82, 0, -108, 204, 0, 226, -148, 0, 48, -222, 0, 206, 28, 0, -110, 54, 0, 30, 230, 0, 283, -23, 0, -160, -18, 0, -74, 164, 0, -158, -156, 0, 50, 360, 0, -226, -64, 0, -40, 97, 0, 107, 194, 0, -36, 185, 0, 215, -142, 0, -130, -313, 0, 54, -100, 0, 126, 16, 0, -185, -120, 0, 12, -194, 0, -148, 44, 0, 288, 291, 0, 179, -26, 0, -108, -4, 0, -414, -98, 0, -178, 307, 0, 394, -78, 0, -160, -108, 0, 39, -52, 0, -8, 192, 0, -11, -16, 0, -114, 294, 0, -100, 6, 0, 126, -42, 0, 256, 32, 0, -138, 105, 0, 128, -64, 0, 8, 166, 0, -218, -120, 0, -44, -225, 0, 386, 98, 0, 64, 45, 0, 16, -158, 0, -192, -306, 0, -34, 50, 0, 218, -150, 0, -138, -178, 0, 56, 204, 0, -201, -154, 0, 28, -122, 0, -654, 46, 0, 180, -278, 0, 36, 130, 0, 32, 106, 0, 208, 34, 0, -332, -329, 0, 250, -72, 0, 52, -469, 0, -381, 86, 0, -108, 202, 0, 50, -256, 0, -44, 328, 0, 140, 12, 0, -152, 187, 0, -200, 40, 0, -322, 76, 0, 102, 94, 0, 40, -252, 0, -194, -88, 0, 4, 14, 0, 242, -244, 0, -126, -30, 0, 177, 34, 0, -44, -202, 0, -71, -64, 0, -274, 118, 0, -93, 54, 0, 67, -46, 0, -154, 110, 0, -198, -12, 0, -70, 138, 0, -108, -393, 0, 142, 12, 0, -108, -110, 0, 96, 244, 0, -52, -108, 0, -134, -204, 0, -142, -36, 0, -244, 18, 0, -232, -48, 0, -582, 8, 0, 100, -171, 0, 416, 72, 0, -224, -96, 0, -356, -214, 0, -288, 161, 0, 208, -154, 0, 36, 30, 0, -374, 100, 0, -204, 216, 0, -308, -106, 0, -104, 232, 0, 11, 160, 0, -254, -292, 0, -162, -156, 0, -294, 360, 0, -106, 52, 0, -64, 190, 0, -31, 22, 0, 200, -196, 0, -120, -8, 0, -4, -238, 0, 414, 354, 0, -10, -53, 0, -172, -12, 0, -94, 423, 0, -96, 32, 0, 147, -352, 0, 102, -422, 0, 148, -58, 0, 134, -48, 0, -86, -340, 0, 140, -70, 0, -72, 146, 0, 192, 44, 0, 206, 211, 0, 413, 76, 0, -30, -140, 0, -54, 72, 0, 48, -138, 0, -402], '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: 33854672
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925855, 'source_is_minimal': False, 'source_label': '927.2.a.b.1.1', 'source_level': 927, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660925855, 'target_is_minimal': False, 'target_label': '927.2.a.b.1.1', 'target_level': 927, 'twist_class_label': '103.2.a.a.1.2', 'twist_class_level': 103, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 33854673
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925855, 'source_is_minimal': False, 'source_label': '927.2.a.b.1.1', 'source_level': 927, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 33554535, 'target_is_minimal': True, 'target_label': '103.2.a.a.1.2', 'target_level': 103, 'twist_class_label': '103.2.a.a.1.2', 'twist_class_level': 103, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 33854674
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925855, 'source_is_minimal': False, 'source_label': '927.2.a.b.1.1', 'source_level': 927, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998170408560, 'target_is_minimal': False, 'target_label': '1648.2.a.f.1.1', 'target_level': 1648, 'twist_class_label': '103.2.a.a.1.2', 'twist_class_level': 103, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 33854675
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925855, 'source_is_minimal': False, 'source_label': '927.2.a.b.1.1', 'source_level': 927, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597797779983, 'target_is_minimal': False, 'target_label': '2575.2.a.g.1.1', 'target_level': 2575, 'twist_class_label': '103.2.a.a.1.2', 'twist_class_level': 103, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 33854676
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925855, 'source_is_minimal': False, 'source_label': '927.2.a.b.1.1', 'source_level': 927, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 33559479, 'target_is_minimal': False, 'target_label': '5047.2.a.a.1.2', 'target_level': 5047, 'twist_class_label': '103.2.a.a.1.2', 'twist_class_level': 103, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 33854677
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925855, 'source_is_minimal': False, 'source_label': '927.2.a.b.1.1', 'source_level': 927, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 85568392953600448, 'target_is_minimal': False, 'target_label': '6592.2.a.t.1.2', 'target_level': 6592, 'twist_class_label': '103.2.a.a.1.2', 'twist_class_level': 103, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 33854678
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925855, 'source_is_minimal': False, 'source_label': '927.2.a.b.1.1', 'source_level': 927, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525197425154496, 'target_is_minimal': False, 'target_label': '6592.2.a.h.1.2', 'target_level': 6592, 'twist_class_label': '103.2.a.a.1.2', 'twist_class_level': 103, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1499550
    {'charpoly_factorization': [[[1, -3, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 2}
  • id: 1499551
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503599660925855, 'p': 3}
  • id: 1499552
    {'charpoly_factorization': [[[1, -3, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 5}
  • id: 1499553
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 4503599660925855, 'p': 7}
  • id: 1499554
    {'charpoly_factorization': [[[1, -3, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 11}
  • id: 1499555
    {'charpoly_factorization': [[[-9, 3, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 13}
  • id: 1499556
    {'charpoly_factorization': [[[19, -9, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 17}
  • id: 1499557
    {'charpoly_factorization': [[[-5, -5, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 19}
  • id: 1499558
    {'charpoly_factorization': [[[-20, 0, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 23}
  • id: 1499559
    {'charpoly_factorization': [[[4, -6, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 29}
  • id: 1499560
    {'charpoly_factorization': [[[-45, 0, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 31}
  • id: 1499561
    {'charpoly_factorization': [[[-45, 0, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 37}
  • id: 1499562
    {'charpoly_factorization': [[[-80, 0, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 41}
  • id: 1499563
    {'charpoly_factorization': [[[-41, 4, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 43}
  • id: 1499564
    {'charpoly_factorization': [[[-29, -3, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 47}
  • id: 1499565
    {'charpoly_factorization': [[[-11, -9, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 53}
  • id: 1499566
    {'charpoly_factorization': [[[55, 15, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 59}
  • id: 1499567
    {'charpoly_factorization': [[[45, -15, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 61}
  • id: 1499568
    {'charpoly_factorization': [[[-179, -2, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 67}
  • id: 1499569
    {'charpoly_factorization': [[[-29, 3, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 71}
  • id: 1499570
    {'charpoly_factorization': [[[45, 15, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 73}
  • id: 1499571
    {'charpoly_factorization': [[[-89, -7, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 79}
  • id: 1499572
    {'charpoly_factorization': [[[-59, 3, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 83}
  • id: 1499573
    {'charpoly_factorization': [[[36, -18, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 89}
  • id: 1499574
    {'charpoly_factorization': [[[-20, -10, 1], 1]], 'hecke_orbit_code': 4503599660925855, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 2, 'label': '927.2.a.b', 'level': 927, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 16257420
    {'hecke_orbit_code': 4503599660925855, 'n': 1, 'trace_an': 2}
  • id: 16257421
    {'hecke_orbit_code': 4503599660925855, 'n': 2, 'trace_an': 3}
  • id: 16257422
    {'hecke_orbit_code': 4503599660925855, 'n': 3, 'trace_an': 0}
  • id: 16257423
    {'hecke_orbit_code': 4503599660925855, 'n': 4, 'trace_an': 3}
  • id: 16257424
    {'hecke_orbit_code': 4503599660925855, 'n': 5, 'trace_an': 3}
  • id: 16257425
    {'hecke_orbit_code': 4503599660925855, 'n': 6, 'trace_an': 0}
  • id: 16257426
    {'hecke_orbit_code': 4503599660925855, 'n': 7, 'trace_an': -2}
  • id: 16257427
    {'hecke_orbit_code': 4503599660925855, 'n': 8, 'trace_an': 6}
  • id: 16257428
    {'hecke_orbit_code': 4503599660925855, 'n': 9, 'trace_an': 0}
  • id: 16257429
    {'hecke_orbit_code': 4503599660925855, 'n': 10, 'trace_an': 2}
  • id: 16257430
    {'hecke_orbit_code': 4503599660925855, 'n': 11, 'trace_an': 3}
  • id: 16257431
    {'hecke_orbit_code': 4503599660925855, 'n': 12, 'trace_an': 0}
  • id: 16257432
    {'hecke_orbit_code': 4503599660925855, 'n': 13, 'trace_an': -3}
  • id: 16257433
    {'hecke_orbit_code': 4503599660925855, 'n': 14, 'trace_an': -3}
  • id: 16257434
    {'hecke_orbit_code': 4503599660925855, 'n': 15, 'trace_an': 0}
  • id: 16257435
    {'hecke_orbit_code': 4503599660925855, 'n': 16, 'trace_an': 13}
  • id: 16257436
    {'hecke_orbit_code': 4503599660925855, 'n': 17, 'trace_an': 9}
  • id: 16257437
    {'hecke_orbit_code': 4503599660925855, 'n': 18, 'trace_an': 0}
  • id: 16257438
    {'hecke_orbit_code': 4503599660925855, 'n': 19, 'trace_an': 5}
  • id: 16257439
    {'hecke_orbit_code': 4503599660925855, 'n': 20, 'trace_an': -3}
  • id: 16257440
    {'hecke_orbit_code': 4503599660925855, 'n': 21, 'trace_an': 0}
  • id: 16257441
    {'hecke_orbit_code': 4503599660925855, 'n': 22, 'trace_an': 7}
  • id: 16257442
    {'hecke_orbit_code': 4503599660925855, 'n': 23, 'trace_an': 0}
  • id: 16257443
    {'hecke_orbit_code': 4503599660925855, 'n': 24, 'trace_an': 0}
  • id: 16257444
    {'hecke_orbit_code': 4503599660925855, 'n': 25, 'trace_an': -3}
  • id: 16257445
    {'hecke_orbit_code': 4503599660925855, 'n': 26, 'trace_an': -12}
  • id: 16257446
    {'hecke_orbit_code': 4503599660925855, 'n': 27, 'trace_an': 0}
  • id: 16257447
    {'hecke_orbit_code': 4503599660925855, 'n': 28, 'trace_an': -3}
  • id: 16257448
    {'hecke_orbit_code': 4503599660925855, 'n': 29, 'trace_an': 6}
  • id: 16257449
    {'hecke_orbit_code': 4503599660925855, 'n': 30, 'trace_an': 0}
  • id: 16257450
    {'hecke_orbit_code': 4503599660925855, 'n': 31, 'trace_an': 0}
  • id: 16257451
    {'hecke_orbit_code': 4503599660925855, 'n': 32, 'trace_an': 15}
  • id: 16257452
    {'hecke_orbit_code': 4503599660925855, 'n': 33, 'trace_an': 0}
  • id: 16257453
    {'hecke_orbit_code': 4503599660925855, 'n': 34, 'trace_an': 16}
  • id: 16257454
    {'hecke_orbit_code': 4503599660925855, 'n': 35, 'trace_an': -3}
  • id: 16257455
    {'hecke_orbit_code': 4503599660925855, 'n': 36, 'trace_an': 0}
  • id: 16257456
    {'hecke_orbit_code': 4503599660925855, 'n': 37, 'trace_an': 0}
  • id: 16257457
    {'hecke_orbit_code': 4503599660925855, 'n': 38, 'trace_an': 15}
  • id: 16257458
    {'hecke_orbit_code': 4503599660925855, 'n': 39, 'trace_an': 0}
  • id: 16257459
    {'hecke_orbit_code': 4503599660925855, 'n': 40, 'trace_an': -1}
  • id: 16257460
    {'hecke_orbit_code': 4503599660925855, 'n': 41, 'trace_an': 0}
  • id: 16257461
    {'hecke_orbit_code': 4503599660925855, 'n': 42, 'trace_an': 0}
  • id: 16257462
    {'hecke_orbit_code': 4503599660925855, 'n': 43, 'trace_an': -4}
  • id: 16257463
    {'hecke_orbit_code': 4503599660925855, 'n': 44, 'trace_an': 12}
  • id: 16257464
    {'hecke_orbit_code': 4503599660925855, 'n': 45, 'trace_an': 0}
  • id: 16257465
    {'hecke_orbit_code': 4503599660925855, 'n': 46, 'trace_an': -10}
  • id: 16257466
    {'hecke_orbit_code': 4503599660925855, 'n': 47, 'trace_an': 3}
  • id: 16257467
    {'hecke_orbit_code': 4503599660925855, 'n': 48, 'trace_an': 0}
  • id: 16257468
    {'hecke_orbit_code': 4503599660925855, 'n': 49, 'trace_an': -12}
  • id: 16257469
    {'hecke_orbit_code': 4503599660925855, 'n': 50, 'trace_an': -12}
  • id: 16257470
    {'hecke_orbit_code': 4503599660925855, 'n': 51, 'trace_an': 0}
  • id: 16257471
    {'hecke_orbit_code': 4503599660925855, 'n': 52, 'trace_an': -27}
  • id: 16257472
    {'hecke_orbit_code': 4503599660925855, 'n': 53, 'trace_an': 9}
  • id: 16257473
    {'hecke_orbit_code': 4503599660925855, 'n': 54, 'trace_an': 0}
  • id: 16257474
    {'hecke_orbit_code': 4503599660925855, 'n': 55, 'trace_an': 2}
  • id: 16257475
    {'hecke_orbit_code': 4503599660925855, 'n': 56, 'trace_an': -6}
  • id: 16257476
    {'hecke_orbit_code': 4503599660925855, 'n': 57, 'trace_an': 0}
  • id: 16257477
    {'hecke_orbit_code': 4503599660925855, 'n': 58, 'trace_an': 14}
  • id: 16257478
    {'hecke_orbit_code': 4503599660925855, 'n': 59, 'trace_an': -15}
  • id: 16257479
    {'hecke_orbit_code': 4503599660925855, 'n': 60, 'trace_an': 0}
  • id: 16257480
    {'hecke_orbit_code': 4503599660925855, 'n': 61, 'trace_an': 15}
  • id: 16257481
    {'hecke_orbit_code': 4503599660925855, 'n': 62, 'trace_an': -15}
  • id: 16257482
    {'hecke_orbit_code': 4503599660925855, 'n': 63, 'trace_an': 0}
  • id: 16257483
    {'hecke_orbit_code': 4503599660925855, 'n': 64, 'trace_an': 4}
  • id: 16257484
    {'hecke_orbit_code': 4503599660925855, 'n': 65, 'trace_an': 3}
  • id: 16257485
    {'hecke_orbit_code': 4503599660925855, 'n': 66, 'trace_an': 0}
  • id: 16257486
    {'hecke_orbit_code': 4503599660925855, 'n': 67, 'trace_an': 2}
  • id: 16257487
    {'hecke_orbit_code': 4503599660925855, 'n': 68, 'trace_an': 21}
  • id: 16257488
    {'hecke_orbit_code': 4503599660925855, 'n': 69, 'trace_an': 0}
  • id: 16257489
    {'hecke_orbit_code': 4503599660925855, 'n': 70, 'trace_an': -2}
  • id: 16257490
    {'hecke_orbit_code': 4503599660925855, 'n': 71, 'trace_an': -3}
  • id: 16257491
    {'hecke_orbit_code': 4503599660925855, 'n': 72, 'trace_an': 0}
  • id: 16257492
    {'hecke_orbit_code': 4503599660925855, 'n': 73, 'trace_an': -15}
  • id: 16257493
    {'hecke_orbit_code': 4503599660925855, 'n': 74, 'trace_an': 15}
  • id: 16257494
    {'hecke_orbit_code': 4503599660925855, 'n': 75, 'trace_an': 0}
  • id: 16257495
    {'hecke_orbit_code': 4503599660925855, 'n': 76, 'trace_an': 30}
  • id: 16257496
    {'hecke_orbit_code': 4503599660925855, 'n': 77, 'trace_an': -3}
  • id: 16257497
    {'hecke_orbit_code': 4503599660925855, 'n': 78, 'trace_an': 0}
  • id: 16257498
    {'hecke_orbit_code': 4503599660925855, 'n': 79, 'trace_an': 7}
  • id: 16257499
    {'hecke_orbit_code': 4503599660925855, 'n': 80, 'trace_an': 12}
  • id: 16257500
    {'hecke_orbit_code': 4503599660925855, 'n': 81, 'trace_an': 0}
  • id: 16257501
    {'hecke_orbit_code': 4503599660925855, 'n': 82, 'trace_an': -20}
  • id: 16257502
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  • id: 16257509
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  • id: 16257510
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  • id: 16257511
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  • id: 16257512
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  • id: 16257513
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  • id: 16257514
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  • id: 16257515
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  • id: 16257516
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  • id: 16257517
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  • id: 16257518
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  • id: 16257519
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  • id: 16257520
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  • id: 16257521
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  • id: 16257522
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  • id: 16257523
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  • id: 16257524
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  • id: 16257525
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  • id: 16257526
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  • id: 16257527
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  • id: 16257528
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  • id: 16257529
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  • id: 16257530
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  • id: 16257531
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  • id: 16257532
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  • id: 16257533
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  • id: 16257534
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  • id: 16257535
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  • id: 16257536
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  • id: 16257537
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  • id: 16257538
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  • id: 16257539
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  • id: 16257540
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  • id: 16257541
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  • id: 16257542
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  • id: 16257543
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  • id: 16257544
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  • id: 16257545
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  • id: 16257546
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  • id: 16257547
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  • id: 16257548
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  • id: 16257550
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  • id: 16257551
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  • id: 16257552
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  • id: 16257553
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  • id: 16257554
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  • id: 16257555
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  • id: 16257556
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  • id: 16257557
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  • id: 16257558
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  • id: 16257559
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  • id: 16257560
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  • id: 16257561
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  • id: 16257562
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  • id: 16257563
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  • id: 16257564
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  • id: 16257565
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  • id: 16257566
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  • id: 16257567
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  • id: 16257568
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  • id: 16257569
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  • id: 16257570
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  • id: 16257571
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  • id: 16257572
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  • id: 16257573
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  • id: 16257574
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  • id: 16257575
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  • id: 16257576
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  • id: 16257577
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  • id: 16257578
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  • id: 16257579
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  • id: 16257580
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  • id: 16257581
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  • id: 16257582
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  • id: 16257583
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  • id: 16257584
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  • id: 16257585
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  • id: 16257586
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  • id: 16257587
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  • id: 16257588
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  • id: 16257589
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  • id: 16257590
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  • id: 16257591
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  • id: 16257592
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  • id: 16257593
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  • id: 16257594
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  • id: 16257595
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  • id: 16257596
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  • id: 16257597
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  • id: 16257598
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  • id: 16257599
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  • id: 16257600
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  • id: 16257601
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  • id: 16257602
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  • id: 16257603
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  • id: 16257604
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  • id: 16257605
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  • id: 16257606
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  • id: 16257607
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  • id: 16257608
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  • id: 16257609
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  • id: 16257610
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  • id: 16257611
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  • id: 16257612
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  • id: 16257613
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  • id: 16257614
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  • id: 16257615
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  • id: 16257616
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  • id: 16257617
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  • id: 16257618
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  • id: 16257619
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  • id: 16257620
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  • id: 16257621
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  • id: 16257622
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  • id: 16257623
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  • id: 16257624
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  • id: 16257625
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  • id: 16257626
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  • id: 16257627
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  • id: 16257628
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  • id: 16257629
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  • id: 16257630
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  • id: 16257631
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  • id: 16257632
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  • id: 16257633
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  • id: 16257634
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  • id: 16257635
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  • id: 16257636
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  • id: 16257637
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  • id: 16257638
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  • id: 16257639
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  • id: 16257640
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  • id: 16257641
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  • id: 16257642
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  • id: 16257643
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  • id: 16257644
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  • id: 16257645
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  • id: 16257646
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  • id: 16257647
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  • id: 16257648
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  • id: 16257649
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  • id: 16257650
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  • id: 16257651
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  • id: 16257652
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  • id: 16257653
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  • id: 16257654
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  • id: 16257655
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  • id: 16257656
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  • id: 16257657
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  • id: 16257658
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  • id: 16257659
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  • id: 16257660
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  • id: 16257661
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  • id: 16257662
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  • id: 16257663
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  • id: 16257664
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  • id: 16257665
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  • id: 16257666
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  • id: 16257667
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  • id: 16257668
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  • id: 16257669
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  • id: 16257670
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  • id: 16257671
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  • id: 16257672
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  • id: 16257673
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  • id: 16257674
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  • id: 16257675
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  • id: 16257676
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