Embedded newform data - 8043.2.a.s.1.2

Formats: - HTML - YAML - JSON - 2024-06-12T14:33:00.576133

• 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': 32172, 'analytic_conductor': 64.22367834571581, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [7, 1], [383, -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': [8043, 1, [5363, 2299, 6133], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 50, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [1024, -33280, -1408, 5456000, -33999408, -52817688, 741276228, -128030350, -7084282797, 4193737754, 39531322245, -27312293622, -144836012176, 97583080786, 371697968070, -227763280075, -696634156652, 375756636020, 982322166319, -459182209829, -1065780901599, 428782999074, 905094713517, -312636937050, -609519381837, 180678743342, 328628346371, -83595677099, -142785459232, 31148766396, 50180809915, -9368607123, -14278153904, 2271763134, 3282590470, -441942214, -606519535, 68334834, 89213379, -8273291, -10290394, 766291, 909448, -52358, -59386, 2484, 2697, -73, -76, 1, 1]], [5, [-1449124352, 2914708480, 138900157952, -478392973312, -4257458455968, 21318121474688, 35597684860784, -329478829125752, 144180086369256, 1998666335162510, -2442210419599272, -6051122450892000, 10587933374185037, 10388991788429298, -24048593508154953, -10881478621160666, 33991818619306175, 7034183196153528, -32571287138991303, -2399286307271447, 22306375347490351, -187788834389914, -11310954278798121, 736912257523222, 4350004828581366, -472624707166853, -1289196412377999, 187061417606108, 297249088690819, -52914884413405, -53528966333998, 11230568009822, 7516104820206, -1824091692354, -816155536636, 228198331097, 67359377623, -21936866162, -4087145328, 1603704458, 170028338, -87398501, -3961952, 3432168, -5055, -91590, 3497, 1484, -100, -11, 1]], [11, [-3028129775009091968, -30096435088262951872, 65304245799423227776, 991714103198483003504, -756302192051557571000, -9368583783975549401054, 11400939584319811036100, 23841087966811096225932, -36224734190705283871517, -28439842335958273508066, 54576541230005636310216, 19316848208750822825978, -49550630275541795837045, -8304961802307505117304, 30515845948868956436485, 2512627525844670765301, -13658788745855860158298, -668443437872718398641, 4636293200504685509474, 211965500770255698496, -1224664849767526558129, -74898592560639220954, 255341519162733073431, 22593587556845325027, -42247570633732856586, -5234347006223544183, 5533537697685093737, 919500604278517836, -567481874479821373, -123248517226338892, 44492346587809622, 12660083659897582, -2533672806639979, -994100935303561, 90996380000376, 58987372914008, -736962065254, -2581376774286, -131339216451, 79462401483, 8789540405, -1549028252, -293103302, 13061732, 5653207, 139834, -57153, -4399, 169, 31, 1]]], 'hecke_orbit': 19, 'hecke_orbit_code': 81064793326231403, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '8043.2.a.s', 'level': 8043, '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': True, 'level_primes': [3, 7, 383], 'level_radical': 8043, 'minimal_twist': '8043.2.a.s', 'prim_orbit_index': 1, 'related_objects': [], 'relative_dim': 50, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8043.2.a', 'trace_display': [-1, -50, 11, -50], 'traces': [50, -1, -50, 53, 11, 1, -50, -6, 50, 16, -31, -53, 42, 1, -11, 59, 44, -1, 11, 7, 50, 19, -16, 6, 71, 1, -50, -53, 3, -16, 13, -23, 31, 1, -11, 53, 53, 28, -42, 50, 23, -1, 9, -78, 11, -8, 26, -59, 50, -38, -44, 86, 58, 1, 28, 6, -11, -4, 7, -7, 51, 7, -50, 74, -14, -19, 23, 98, 16, -16, -75, -6, 34, -68, -71, 31, 31, -1, -18, -21, 50, 31, 40, 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• 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

  
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-0.4717410338561576, -0.20187441023777963, -0.09417631416714654, -0.31063764032228425, -0.2809231346865479, -0.2510530052982633, -0.29211564917575855, -0.27654138194764993, -0.18238496656996098, -0.19289909893734292, -0.19576623600735005, -0.3554100862941234, -0.2475097545988695, -0.18074376570052594, -0.2114087770553909, -0.31935032395877433, -0.3771059050815088, -0.3919159112926837, -0.3605108751496338, -0.31758494616724736, -0.257034139263828, -0.10979607541284554, -0.3454697398944529, -0.36828959049291343, -0.020126157450315034, -0.2046840294015343, -0.3062731039191477, -0.2331112132950045, -0.21003352042385692, -0.3062972608034321, -0.13952730053699827], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'hecke_orbit': 19, 'hecke_orbit_code': 81064793326231403, 'label': '8043.2.a.s.1.2', 'level': 8043, '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': [46, 50, 54, 42, 49, 45, 43, 54], 'Nk2': 32172, 'analytic_conductor': 64.22367834571581, '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': [8043, 1, [5363, 2299, 6133], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1021, 'dim': 383, 'eis_dim': 7, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5, 11], 'hecke_orbit_code': 33562475, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 3, 40, 41, 41, 44, 46, 50, 52, 53], 'label': '8043.2.a', 'level': 8043, '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': True, 'level_primes': [3, 7, 383], 'level_radical': 8043, 'mf_dim': 1028, 'mf_new_dim': 383, 'num_forms': 21, 'plus_dim': 176, 'prim_orbit_index': 1, 'relative_dim': 383, 'sturm_bound': 2048, 'trace_bound': 11, 'trace_display': [5, -1, 10, 3], 'traces': [383, 5, -1, 385, 10, -3, 3, 9, 383, -10, 4, -7, 18, 1, 2, 377, 30, 5, -4, -2, 3, -20, 0, -15, 409, -18, -1, 5, 26, -10, -24, -7, -4, -30, -6, 385, 10, -60, -14, -66, 14, 1, -4, -4, 10, -8, 24, -31, 383, -5, 6, 6, -14, -3, 16, 21, 12, -42, 12, -10, 18, -48, 3, 337, 28, -20, 36, 10, -16, -10, 16, 9, 14, 22, -15, 28, 4, 6, -24, -34, 383, -30, -4, 5, 4, -36, 2, -92, 38, -10, -6, -80, 16, -48, -64, -23, -26, 5, 4, 383, -14, 10, -16, 6, -6, 62, -44, -7, 18, -104, -6, 29, 6, -44, -56, 118, 18, -76, -18, -34, 355, -114, 14, -112, 36, 1, 0, -79, -28, 84, -28, 60, 20, 12, 2, -126, 14, -40, -12, 14, -24, -40, -96, 377, -12, 154, -1, 30, -30, 11, -32, -236, 30, -4, -112, -66, -46, 56, -38, -66, 8, 5, -84, 122, 8, 28, -8, -3, 441, 44, -4, -36, 34, 6, 13, 76, -28, 18, -44, -2, 42, -26, -30, 72, 60, 48, -72, 160, 3, -80, -88, -79, 94, 138, 52, 385, 18, -20, -176, 79, -4, 46, -22, -62, 12, 16, 0, 46, 32, 14, 68, -154, 8, 124, -120, -15, 16, 150, -10, 24, 124, 22, -64, 53, 409, -14, -140, 52, 82, 168, -4, 78, 102, -18, 24, 268, 32, 66, 48, 54, -10, 169, -1, 86, 10, -38, -176, 64, -44, 52, -36, 5, 72, 136, 4, 233, 14, -60, -30, 228, 26, 52, -160, -132, 156, -28, -10, 148, 58, -10, -40, -6, 2, -142, -100, -48, 26, 116, -24, -66, 150, -16, -60, 32, -8, 64, -10, -7, 333, 36, -50, -214, 50, -3, -208, -26, -4, 102, 216, -57, 4, 72, -54, 28, 44, -30, 60, 12, 56, -80, -96, -34, -74, 46, -6, -168, -86, -2, 8, 54, -28, -8, -88, 385, 38, -156, -46, -62, -32, 48, 52, -244, 10, -232, -192, 29, 30, 219, 70, 260, -152, -60, 3, -124, 64, -242, -52, 22, 10, 63, -14, -284, -42, 12, -112, -118, -10, 148, -80, -66, 315, -82, -37, -26, -148, -130, 0, 80, 14, 300, 50, 96, -14, 120, -36, 16, 60, 1, -92, -8, 16, 24, -1, -7, 32, 186, -4, 66, 98, 68, -128, 9, -28, 110, -64, -4, 2, 176, 28, 335, 94, 12, -32, -74, 10, 78, -256, 194, 126, -92, 14, 0, -4, -8, -96, -130, 68, -152, 4, -42, 82, -220, 24, 134, 138, -40, -46, -228, 40, 240, 200, -31, -114, 24, -52, -218, -200, 74, -88, -272, 383, 36, -252, 22, -180, 152, 10, 93, 6, -5, -24, -30, 40, -148, -20, -212, 142, -234, 6, 40, -22, 20, -168, 174, 0, -286, -364, 6, 12, 264, -94, -500, -48, -176, -172, -14, -14, 16, -152, -18, 140, -46, 24, 493, -116, -3, -224, -298, -52, -10, -76, 34, 60, 64, 16, -432, 56, 36, 84, -12, -80, 108, -264, 21, 44, 16, -87, 48, -46, 124, 6, 129, 12, -262, 24, -196, -160, 102, 50, 396, 86, -42, -92, -180, 13, -72, 16, 84, 583, 236, 12, 4, 84, -118, -56, 28, 4, 350, 4, -10, 34, -48, 58, -454, 116, -42, -148, 218, 18, 140, -160, 104, -16, 102, 68, 76, -126, -48, 16, 46, -24, -110, -252, -32, 20, -180, 3, 24, 134, 8, -228, 80, -48, 50, -128, 337, -26, 175, -146, -172, -4, -86, -72, 298, 28, -170, -44, -7, -216, -152, -6, 230, 78, -20, 4, -42, -32, 0, -240, 231, -210, -4, 36, -312, -214, 62, -160, -260, 10, 372, -24, 10, -22, 68, -140, -36, 30, 40, 396, -496, -16, 152, -90, -242, 691, -46, 72, 286, 4, -10, -152, 112, -4, -202, 80, -122, 18, 360, 16, 62, -138, 124, -100, 104, -48, 56, 152, 9, -304, 314, 16, 108, 34, 6, 32, 450, 14, 88, 196, 184, -134, -116, -44, 148, -8, 22, 40, 16, 96, 512, 176, -35, -2, 130, -15, 335, -70, 10, -10, 524, 44, 24, -20, 28, 44, 1, 26, -180, 436, -16, -52, 206, 4, -148, 240, -50, 404, 462, -50, -37, 2, 6, 56, 220, -48, 42, 90, 20, 90, 200, -24, 434, -256, -30, -72, -140, -128, 96, -160, -34, 32, 41, 78, 54, 94, -167, -96, -106, 383, -236, -24, 62, -190, -424, 2, 352, 112, -30, -52, 108, 72, 38, -432, -160, 252, -50, -4, -48, 36, 156, 96, -288, 132, -132, 32, 5, 10, 108, -112, -240, 214, 152, 42, -320, 4, -3, 176, -223, 182, 96, -146, 122, 10, -36, -72, 122, 18, -66, -80, 188, -40, 128, 2, 377, 156, -300, 188, 198, -136, -248, -26, -92, 116, -266, 44, -912, -70, -28, -296, -49, 38, -62, -184, 36, -24, -16, -150, 286, 134, -10, -68, -74, -56, 312, 200, -310, -32, -54, -6, -124, 290, 82, -240, -96, 116, -108, 236, -80, 114, -128, 10, -2, 30, -60, -96, -192, 16, 156, 40, 54, 289, -2, 70, 148, 190, -48, 127, 254, -68, -226, 384, -104, -238, 14, -64, -100, 342, -200, 116, -96, -26, -232, -48, -23, 68, -494, -51, 40, -40, -188, 8, -226, -26, -96, -108, 42, 82, 24, 66, 416, -162, 5, 180, 28, 152, -372, 0, 278, 0, 180, 4, -448, -64, 46, 64, 37, 128, 106, 136, 383, 44, -504, -12, -334, 172, -272, -180, -124, -14, -76, 48, 212, 440, -94, 76, -122, 92, 10, 32, 456, -76, 158, 288, -52, -98, -256, -16, 166, -42, -240, -4, 106, -48, -508, 72, 6, 190, 68, 86, 32, 50, -138, -96, 364, -6, 8, 4, -112, 36, -396, -182, 130, -114, 62, 408, -304, 72, -528, 30, 22, 599, -292, -44, -54, -140, -8, 80, 901, -40, 84, 60, -7, 12, 0, 94, 94, 222, 244, 32, -2, 18, -604, 504, -78, 68, -564, -48, -40, 216, -104, 288, 384, 36, -120, -168, -292, -62, 380, -6, 68], '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

  
  {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 50, 'source_embedding_index': 2, 'source_hecke_orbit_code': 81064793326231403, 'source_is_minimal': True, 'source_label': '8043.2.a.s.1.2', 'source_level': 8043, 'target_conrey_index': 1, 'target_dim': 50, 'target_embedding_index': 2, 'target_hecke_orbit_code': 81064793326231403, 'target_is_minimal': True, 'target_label': '8043.2.a.s.1.2', 'target_level': 8043, 'twist_class_label': '8043.2.a.s.1.2', 'twist_class_level': 8043, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
• hecke_orbit_code 81064793326231403 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 19, 'label': '8043.2.a.s', 'level': 8043, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 63276541
    {'hecke_orbit_code': 81064793326231403, 'n': 1, 'trace_an': 50}
  • id: 63276542
    {'hecke_orbit_code': 81064793326231403, 'n': 2, 'trace_an': -1}
  • id: 63276543
    {'hecke_orbit_code': 81064793326231403, 'n': 3, 'trace_an': -50}
  • id: 63276544
    {'hecke_orbit_code': 81064793326231403, 'n': 4, 'trace_an': 53}
  • id: 63276545
    {'hecke_orbit_code': 81064793326231403, 'n': 5, 'trace_an': 11}
  • id: 63276546
    {'hecke_orbit_code': 81064793326231403, 'n': 6, 'trace_an': 1}
  • id: 63276547
    {'hecke_orbit_code': 81064793326231403, 'n': 7, 'trace_an': -50}
  • id: 63276548
    {'hecke_orbit_code': 81064793326231403, 'n': 8, 'trace_an': -6}
  • id: 63276549
    {'hecke_orbit_code': 81064793326231403, 'n': 9, 'trace_an': 50}
  • id: 63276550
    {'hecke_orbit_code': 81064793326231403, 'n': 10, 'trace_an': 16}
  • id: 63276551
    {'hecke_orbit_code': 81064793326231403, 'n': 11, 'trace_an': -31}
  • id: 63276552
    {'hecke_orbit_code': 81064793326231403, 'n': 12, 'trace_an': -53}
  • id: 63276553
    {'hecke_orbit_code': 81064793326231403, 'n': 13, 'trace_an': 42}
  • id: 63276554
    {'hecke_orbit_code': 81064793326231403, 'n': 14, 'trace_an': 1}
  • id: 63276555
    {'hecke_orbit_code': 81064793326231403, 'n': 15, 'trace_an': -11}
  • id: 63276556
    {'hecke_orbit_code': 81064793326231403, 'n': 16, 'trace_an': 59}
  • id: 63276557
    {'hecke_orbit_code': 81064793326231403, 'n': 17, 'trace_an': 44}
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  • id: 63276623
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  • id: 63276645
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  • id: 63276646
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  • id: 63276647
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  • id: 63276648
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  • id: 63276655
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  • id: 63276658
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  • id: 63276659
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  • id: 63276660
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  • id: 63276661
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  • id: 63276662
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  • id: 63276663
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  • id: 63276666
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  • id: 63276667
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  • id: 63276693
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  • id: 63276700
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  • id: 63276710
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  • id: 63276711
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  • id: 63276712
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  • id: 63276713
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  • id: 63276721
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  • id: 63276722
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  • id: 63276723
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  • id: 63276724
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  • id: 63276727
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  • id: 63276732
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  • id: 63276738
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  • id: 63276739
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  • id: 63276740
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  • id: 63276742
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  • id: 63276746
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  • id: 63276749
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  • id: 63276750
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  • id: 63276751
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  • id: 63276752
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  • id: 63276753
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  • id: 63276754
    {'hecke_orbit_code': 81064793326231403, 'n': 709, 'trace_an': 120}
  • id: 63276755
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  • id: 63276756
    {'hecke_orbit_code': 81064793326231403, 'n': 727, 'trace_an': 182}
  • id: 63276757
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  • id: 63276758
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  • id: 63276759
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  • id: 63276760
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  • id: 63276761
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  • id: 63276762
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  • id: 63276763
    {'hecke_orbit_code': 81064793326231403, 'n': 761, 'trace_an': 191}
  • id: 63276764
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  • id: 63276765
    {'hecke_orbit_code': 81064793326231403, 'n': 773, 'trace_an': 307}
  • id: 63276766
    {'hecke_orbit_code': 81064793326231403, 'n': 787, 'trace_an': 159}
  • id: 63276767
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  • id: 63276768
    {'hecke_orbit_code': 81064793326231403, 'n': 809, 'trace_an': -168}
  • id: 63276769
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  • id: 63276770
    {'hecke_orbit_code': 81064793326231403, 'n': 821, 'trace_an': -131}
  • id: 63276771
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  • id: 63276772
    {'hecke_orbit_code': 81064793326231403, 'n': 827, 'trace_an': -7}
  • id: 63276773
    {'hecke_orbit_code': 81064793326231403, 'n': 829, 'trace_an': 395}
  • id: 63276774
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  • id: 63276775
    {'hecke_orbit_code': 81064793326231403, 'n': 841, 'trace_an': 155}
  • id: 63276776
    {'hecke_orbit_code': 81064793326231403, 'n': 853, 'trace_an': 41}
  • id: 63276777
    {'hecke_orbit_code': 81064793326231403, 'n': 857, 'trace_an': 292}
  • id: 63276778
    {'hecke_orbit_code': 81064793326231403, 'n': 859, 'trace_an': 134}
  • id: 63276779
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  • id: 63276780
    {'hecke_orbit_code': 81064793326231403, 'n': 877, 'trace_an': 59}
  • id: 63276781
    {'hecke_orbit_code': 81064793326231403, 'n': 881, 'trace_an': -157}
  • id: 63276782
    {'hecke_orbit_code': 81064793326231403, 'n': 883, 'trace_an': 253}
  • id: 63276783
    {'hecke_orbit_code': 81064793326231403, 'n': 887, 'trace_an': 33}
  • id: 63276784
    {'hecke_orbit_code': 81064793326231403, 'n': 907, 'trace_an': -60}
  • id: 63276785
    {'hecke_orbit_code': 81064793326231403, 'n': 911, 'trace_an': -87}
  • id: 63276786
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  • id: 63276787
    {'hecke_orbit_code': 81064793326231403, 'n': 929, 'trace_an': 164}
  • id: 63276788
    {'hecke_orbit_code': 81064793326231403, 'n': 937, 'trace_an': 220}
  • id: 63276789
    {'hecke_orbit_code': 81064793326231403, 'n': 941, 'trace_an': -74}
  • id: 63276790
    {'hecke_orbit_code': 81064793326231403, 'n': 947, 'trace_an': -233}
  • id: 63276791
    {'hecke_orbit_code': 81064793326231403, 'n': 953, 'trace_an': 35}
  • id: 63276792
    {'hecke_orbit_code': 81064793326231403, 'n': 961, 'trace_an': 151}
  • id: 63276793
    {'hecke_orbit_code': 81064793326231403, 'n': 967, 'trace_an': 175}
  • id: 63276794
    {'hecke_orbit_code': 81064793326231403, 'n': 971, 'trace_an': 178}
  • id: 63276795
    {'hecke_orbit_code': 81064793326231403, 'n': 977, 'trace_an': -17}
  • id: 63276796
    {'hecke_orbit_code': 81064793326231403, 'n': 983, 'trace_an': 253}
  • id: 63276797
    {'hecke_orbit_code': 81064793326231403, 'n': 991, 'trace_an': 198}
  • id: 63276798
    {'hecke_orbit_code': 81064793326231403, 'n': 997, 'trace_an': 261}