Embedded newform data - 616.2.bs.a.41.19

Formats: - HTML - YAML - JSON - 2025-02-12T04:24:20.662397

• 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': 2464, 'analytic_conductor': 4.918784764510872, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 77, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 45, 'char_orbit_label': 'bs', 'char_order': 10, 'char_parity': 1, 'char_values': [616, 10, [463, 309, 353, 57], [10, 10, 5, 3]], 'cm_discs': [], 'conrey_index': 41, 'dim': 96, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 3023690531432, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 2, -1, 2, 0], [1, 1, 11, 4, -1, 10, 0], [1, 1, 77, 12, 1, 10, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '616.2.bs.a', 'level': 616, '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, 7, 11], 'level_radical': 154, 'minimal_twist': '616.2.bs.a', 'prim_orbit_index': 12, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '1.2.3.c10', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '616.2.bs', 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, 24, 0, 4, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -24, 0, 36, 0, 0, 0, 20, 0, 0, 0, 0, 0, -30, 0, 16, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30, 0, 60, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 40, 0, 0, 0, 64, 0, 0, 0, -24, 0, 0, 0, 0, 0, 50, 0, 0, 0, -8, 0, 0, 0, -60, 0, 0, 0, 0, 0, 18, 0, 20, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 66, 0, -92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, -228, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22, 0, -200, 0, -100, 0, 0, 0, -104, 0, 0, 0, 0, 0, -40, 0, -32, 0, -92, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, -16, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 70, 0, -84, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, -80, 0, -64, 0, 0, 0, 240, 0, 0, 0, 0, 0, -90, 0, 0, 0, 16, 0, 0, 0, 96, 0, 0, 0, 0, 0, -204, 0, 40, 0, -196, 0, 0, 0, 220, 0, 0, 0, 0, 0, -154, 0, -24, 0, -60, 0, 0, 0, 144, 0, 0, 0, 0, 0, -90, 0, 180, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, -96, 0, 288, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 116, 0, 228, 0, 0, 0, -44, 0, 0, 0, 0, 0, -8, 0, 600, 0, -20, 0, 0, 0, 328, 0, 0, 0, 0, 0, 190, 0, 60, 0, 48, 0, 0, 0, 340, 0, 0, 0, 0, 0, 0, 0, 120, 0, 112, 0, 0, 0, 180, 0, 0, 0, 0, 0, 60, 0, 180, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14, 0, -60, 0, -72, 0, 0, 0, -120, 0, 0, 0, 0, 0, 210, 0, 0, 0, 336, 0, 0, 0, -36, 0, 0, 0, 0, 0, 242, 0, -240, 0, 148, 0, 0, 0, -420, 0, 0, 0, 0, 0, 120, 0, -52, 0, 80, 0, 0, 0, -316, 0, 0, 0, 0, 0, 270, 0, -180, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 78, 0, -668, 0, -200, 0, 0, 0, -160, 0, 0, 0, 0, 0, -32, 0, -252, 0, -100, 0, 0, 0, -120, 0, 0, 0, 0, 0, 104, 0, -360, 0, -80, 0, 0, 0, -304, 0, 0, 0, 0, 0, 70, 0, -164, 0, -176, 0, 0, 0, -344, 0, 0, 0, 0, 0, 0, 0, -24, 0, 8, 0, 0, 0, -400, 0, 0, 0, 0, 0, -50, 0, -196, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 124, 0, -40, 0, 60, 0, 0, 0, -100, 0, 0, 0, 0, 0, -110, 0, 0, 0, 136, 0, 0, 0, 100, 0, 0, 0, 0, 0, -210, 0, 60, 0, 36, 0, 0, 0, 120, 0, 0, 0, 0, 0, -250, 0, -248, 0, -180, 0, 0, 0, 436, 0, 0, 0, 0, 0, -500, 0, 420, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -100, 0, 484, 0, 300, 0, 0, 0, 220, 0, 0, 0, 0, 0, -116, 0, 436, 0, -264, 0, 0, 0, 268, 0, 0, 0, 0, 0, -186, 0, 340, 0, 220, 0, 0, 0, 248, 0, 0, 0, 0, 0, -340, 0, 280, 0, -48, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 72, 0, -28, 0, 0, 0, 280, 0, 0, 0, 0, 0, -180, 0, 272, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 240, 0, 52, 0, 0, 0, -60, 0, 0, 0, 0, 0, -90, 0, 0, 0, -304, 0, 0, 0, 16, 0, 0, 0, 0, 0, 242, 0, 180, 0, 156, 0, 0, 0, -200, 0, 0, 0, 0, 0, 234, 0, 276, 0, 200, 0, 0, 0, -536, 0, 0, 0, 0, 0, 290, 0, -680, 0, 0, 0, 0, 0, -276, 0, 0, 0, 0, 0, 182, 0, -592, 0, -160, 0, 0, 0, -80, 0, 0, 0, 0, 0, 176, 0, -444, 0, -112, 0, 0, 0, -76, 0, 0, 0, 0, 0, 184, 0, -780, 0, -200, 0, 0, 0, -224, 0, 0, 0, 0, 0, 50, 0, -136, 0, -56, 0, 0, 0, -428, 0, 0, 0, 0, 0, 0, 0, -248, 0, -576, 0, 0, 0, 220, 0, 0, 0, 0, 0, -100, 0, -484, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -124, 0, -40, 0, -148, 0, 0, 0, 540, 0, 0, 0, 0, 0, -190, 0, 0, 0, -528, 0, 0, 0, -220, 0, 0, 0, 0, 0, -348, 0, 320, 0, -296, 0, 0, 0, 940, 0, 0, 0, 0, 0, -176, 0, 176, 0, 80, 0, 0, 0, 564, 0, 0, 0, 0, 0, -240, 0, 220, 0, 0, 0, 0, 0, 276, 0, 0, 0, 0, 0, -54, 0, 1332, 0, -100, 0, 0, 0, 500, 0, 0, 0, 0, 0, 124, 0, 800, 0, 296, 0, 0, 0, 156, 0, 0, 0, 0, 0, -206, 0, 620, 0, 280, 0, 0, 0, 96, 0, 0, 0, 0, 0, 170, 0, 80, 0, 720, 0, 0, 0, 684, 0, 0, 0, 0, 0, 0, 0, 440, 0, 220, 0, 0, 0, 20, 0, 0, 0, 0, 0, 560, 0, 388, 0, 720, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 240, 0, 332, 0, 0, 0, -420, 0, 0, 0, 0, 0, 530, 0, 0, 0, 288, 0, 0, 0, -188, 0, 0, 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], [0.0, 0.0], [1.0049244319115191, -0.32651974115371674], [0.0, 0.0], [0.8953007937627492, -1.232275825918539], [0.0, 0.0], [0.8073793257181971, -0.5900327316368384], [0.0, 0.0], [0.09424097811465171, -0.06847007848111694], [0.0, 0.0], [0.5891899840424755, 0.8079945313577485], [0.0, 0.0], [-0.8658326245964403, 0.6290642239038143], [0.0, 0.0], [0.49734725785305905, -1.5306774677536157], [0.0, 0.0], [1.2577084067296163, 0.91377864531893], [0.0, 0.0], [-0.3118245979450428, -0.9596974315817507], [0.0, 0.0], [0.6186978754281837, -0.8565635960957196], [0.0, 0.0], [-1.8669105944752769, 0.0], [0.0, 0.0], [-0.40792320545606076, -1.2554585338638768], [0.0, 0.0], [-0.548729225954275, 0.7552609858376055], [0.0, 0.0], [-0.5492968169544533, -0.17847735490654335], [0.0, 0.0], [-0.03169200780683208, -0.04362030656875497], [0.0, 0.0], [0.8559175752343923, 0.6195912843323879], [0.0, 0.0], [-0.004235720513621516, -1.523170798409409], [0.0, 0.0], [0.0545158401012159, -0.16778250359479066], [0.0, 0.0], [-0.6646944708449001, 0.914873452308074], [0.0, 0.0], [0.02050710018364281, 0.0631143646304011], [0.0, 0.0], [0.0, 1.3897078344125704], [0.0, 0.0], [0.0, -0.17743219475474512], [0.0, 0.0], [-0.3713854681804435, 0.12067045350650539], [0.0, 0.0], [0.3037227511943412, -0.9527604580412331], [0.0, 0.0], [1.5622686728844322, 0.5076118626277955], [0.0, 0.0], [1.3801737859538237, -1.002754951533621], [0.0, 0.0], [1.5231743888568219, -0.0026464289283194622], [0.0, 0.0], [-0.62672031389192, -0.8626065092328575], [0.0, 0.0], [-0.47670337334348684, -0.15489031525996746], [0.0, 0.0], [1.0826119061400685, 0.7865635911357078], [0.0, 0.0], [0.03568862992362873, -0.11088658754507169], [0.0, 0.0], [0.0, 1.6301463115706274], [0.0, 0.0], [-0.1622870188275885, 0.0], [0.0, 0.0], [-1.876104068582664, 0.6095831640651989], [0.0, 0.0], [-1.5319007042016581, -1.1129910102838654], [0.0, 0.0], [-0.25772742663864673, 0.7932034580443059], [0.0, 0.0], [-0.8198639910129155, -1.1284459744755175], [0.0, 0.0], [0.9524430325207686, 0.30471670417396257], [0.0, 0.0], [0.4857744255235947, 0.6686111367179463], [0.0, 0.0], [-0.34082063457291345, 1.0489380561546786], [0.0, 0.0], [-0.10191361600204564, -0.07404457620829384], [0.0, 0.0], [2.252054669734216, -0.7317369191899397], [0.0, 0.0], [-0.6102781714546442, 0.0], [0.0, 0.0], [0.0, -0.3805390625474801], [0.0, 0.0], [-0.3278868782265155, 1.0187630375598336], [0.0, 0.0], [-0.046090964151291804, -0.03348704561268401], [0.0, 0.0], [-1.4617887551892492, -0.4749639582927691], [0.0, 0.0], [-0.12223836233631638, -0.1682466719077103], [0.0, 0.0], [0.11084928936589726, 0.0358043104987675], [0.0, 0.0], [1.1666199429613702, -0.8475990025806238], [0.0, 0.0], [-0.7205289174071581, -0.23411403697095867], [0.0, 0.0], [-0.5016019138604273, -1.529288502930083], [0.0, 0.0], [0.3870419259425036, -0.1257575450066373], [0.0, 0.0], [0.0, 1.026150556439554], [0.0, 0.0], [0.0, -0.18640923510831384], [0.0, 0.0], [-0.13060259944792468, -0.40195347023317163], [0.0, 0.0], [-1.6714465371178016, 2.3005487947230923], [0.0, 0.0], [-0.03852483664518749, 0.11856725551525946], [0.0, 0.0], [1.5546070755844035, -0.004323140312005955], [0.0, 0.0], [-0.305710325408055, 0.9521245700741585], [0.0, 0.0], [0.04121617200439972, 0.0567291939778859], [0.0, 0.0], [-0.4636580568997547, -0.1506516350038079], [0.0, 0.0], [0.5178808363385309, -0.7128018200948447], [0.0, 0.0], [0.4537670423716847, 1.3965513560200395], [0.0, 0.0], [-0.2950689693006051, 0.0], [0.0, 0.0], [-0.8180136307322547, -0.590853145886887], [0.0, 0.0], [0.43941214354940383, 1.3523715202368893], [0.0, 0.0], [0.8009572926437183, 0.5819295362216967], [0.0, 0.0], [0.20623379118281782, -0.6347223439325973], [0.0, 0.0], [-0.33381304538757994, 0.2425293738770606], [0.0, 0.0], [-1.0184203630565194, -0.3289496857014695], [0.0, 0.0], [-0.7117192061558906, 0.5170942712704694], [0.0, 0.0], [-0.005876684938542994, -1.0566237361473159], [0.0, 0.0], [-1.154036386647094, 1.588394818146941], [0.0, 0.0], [-0.5130466918724677, 0.16669897527649968], [0.0, 0.0], [0.1810941659925751, 0.0], [0.0, 0.0], [-0.0821261290492244, 0.0], [0.0, 0.0], [0.33855738180980727, -0.11000396165505068], [0.0, 0.0], [1.059551070573451, -1.4583469373531746], [0.0, 0.0], [-1.5073050169436077, 1.1015383577800015], [0.0, 0.0], [-1.3695313278699188, 0.9950227531331496], [0.0, 0.0], [1.5298110461354604, -0.5000059682688859], [0.0, 0.0], [1.1550092203722315, -0.8391633188387421], [0.0, 0.0], [0.04492734164490457, -0.13827213974957098], [0.0, 0.0], [-0.09509721356907767, -0.0690921699527434], [0.0, 0.0], [-0.47762380448004366, -1.4699749200112424], [0.0, 0.0], [-1.0701103907584033, -0.7729432213248784], [0.0, 0.0], [-0.5296256122934104, 0.0], [0.0, 0.0], [0.4377481489835027, 1.3472502715554666], [0.0, 0.0], [-0.5579345185651379, 0.7679309841598441], [0.0, 0.0], [1.3447716949370243, 0.43694281062154855], [0.0, 0.0], [-0.15794624827668918, -0.21739436053428624], [0.0, 0.0], [0.002701047801922771, 1.554610740134012], [0.0, 0.0], [0.0025960701196631555, 0.9335503096055955], [0.0, 0.0], [0.23760165547621012, -0.7312627034647182], [0.0, 0.0], [0.4613001129616485, -0.634925135391723], [0.0, 0.0], [0.5322749516967273, 1.6381738560877708], [0.0, 0.0], [0.0, 0.20449333018986626], [0.0, 0.0], [0.0, -1.0365179439056937], [0.0, 0.0], [-0.16308619020192835, 0.05298991538019255], [0.0, 0.0], [-0.5487983749426637, 0.18000417492664422], [0.0, 0.0], [0.09613432887443896, 0.03123593693543702], [0.0, 0.0], [-0.175939480475956, 0.1278275149209509], [0.0, 0.0], [0.5917063465888404, -0.8173966842816796], [0.0, 0.0], [-0.4327041986223681, -0.5955662358957952], [0.0, 0.0], [-1.9028579814990088, -0.6182760373230192], [0.0, 0.0], [1.712503369436214, 1.2442065272478855], [0.0, 0.0], [-0.05132488053333475, -0.016518811767781288], [0.0, 0.0], [0.0, 0.881262627099691], [0.0, 0.0], [-1.6637904251131423, 0.0], [0.0, 0.0], [1.1195502878549344, -0.36376393944728813], [0.0, 0.0], 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-0.4359429146063368, -0.04471808084564117, 0.1222654928961099, -0.33127573255769516, -0.18739206619922102, -0.24031686969371607, -0.033341825108372, -0.26292860474933377, -0.4521641907102857, 0.1184613031298226, -0.03220125374421447, -0.16003118592401475, -0.4695319051413147, -0.11657924367009684, -0.22183890220547317, -0.2618323565702101, -0.2673874080409961, 0.08574691796417375, -0.08388801748718244, -0.32739425216764045, -0.2735668701626237, -0.06758057766051566, -0.3958525089290063, 0.3194901887138264, -0.343466333551724, -0.271520240294563, 0.3106224035482415, -0.22347833131119468, -0.4094248909618561, 0.07526685305249509, -0.47870498379285303, -0.38719597765059954, -0.33582153308532, 0.016301550522427297, -0.41329016923883627, -0.15999240392855985, -0.19984312033475407, 0.10583915742085633, -0.023190253918544602, -0.13432706081376836, -0.3597834387739559, -0.31576071168459785, -0.18076635758410606, -0.23519907861765743, 0.01712543244630678, -0.22619404704889817, 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-0.1638372700929114, -0.317121823451741, 0.025792378013792253, 0.13571477306204766, -0.39211591051412764, -0.1749664419761658, -0.19006376174901282, -0.4646251741267562, -0.3754080188522228, -0.3824017363775175, -0.19537892000161586, -0.19077415655010166, -0.08935958654944884, -0.41728225067901753, -0.2795676571234901, -0.21863516745246397, -0.2444964172184047, -0.2533012275709676, -0.42723784668459], 'char_orbit_index': 45, 'conrey_index': 41, 'dual_conrey_index': 601, 'dual_embedding_index': 19, 'dual_embedding_m': 91, 'embedding_index': 19, 'embedding_m': 19, 'hecke_orbit': 1, 'hecke_orbit_code': 3023690531432, 'label': '616.2.bs.a.41.19', 'level': 616, '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

  
  {'Nk2': 2464, 'analytic_conductor': 4.918784764510872, 'char_conductor': 77, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 45, 'char_orbit_label': 'bs', 'char_order': 10, 'char_parity': 1, 'char_values': [616, 10, [463, 309, 353, 57], [10, 10, 5, 3]], 'conrey_index': 41, 'cusp_dim': 352, 'dim': 96, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 3023690531432, 'hecke_orbit_dims': [96], 'label': '616.2.bs', 'level': 616, '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, 7, 11], 'level_radical': 154, 'mf_dim': 416, 'mf_new_dim': 96, 'num_forms': 1, 'prim_orbit_index': 12, 'relative_dim': 24, 'sturm_bound': 192, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, 24, 0, 4, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -24, 0, 36, 0, 0, 0, 20, 0, 0, 0, 0, 0, -30, 0, 16, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30, 0, 60, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 40, 0, 0, 0, 64, 0, 0, 0, -24, 0, 0, 0, 0, 0, 50, 0, 0, 0, -8, 0, 0, 0, -60, 0, 0, 0, 0, 0, 18, 0, 20, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 66, 0, -92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, -228, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22, 0, -200, 0, -100, 0, 0, 0, -104, 0, 0, 0, 0, 0, -40, 0, -32, 0, -92, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, -16, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 70, 0, -84, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, -80, 0, -64, 0, 0, 0, 240, 0, 0, 0, 0, 0, -90, 0, 0, 0, 16, 0, 0, 0, 96, 0, 0, 0, 0, 0, -204, 0, 40, 0, -196, 0, 0, 0, 220, 0, 0, 0, 0, 0, -154, 0, -24, 0, -60, 0, 0, 0, 144, 0, 0, 0, 0, 0, -90, 0, 180, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, -96, 0, 288, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 116, 0, 228, 0, 0, 0, -44, 0, 0, 0, 0, 0, -8, 0, 600, 0, -20, 0, 0, 0, 328, 0, 0, 0, 0, 0, 190, 0, 60, 0, 48, 0, 0, 0, 340, 0, 0, 0, 0, 0, 0, 0, 120, 0, 112, 0, 0, 0, 180, 0, 0, 0, 0, 0, 60, 0, 180, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14, 0, -60, 0, -72, 0, 0, 0, -120, 0, 0, 0, 0, 0, 210, 0, 0, 0, 336, 0, 0, 0, -36, 0, 0, 0, 0, 0, 242, 0, -240, 0, 148, 0, 0, 0, -420, 0, 0, 0, 0, 0, 120, 0, -52, 0, 80, 0, 0, 0, -316, 0, 0, 0, 0, 0, 270, 0, -180, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 78, 0, -668, 0, -200, 0, 0, 0, -160, 0, 0, 0, 0, 0, -32, 0, -252, 0, -100, 0, 0, 0, -120, 0, 0, 0, 0, 0, 104, 0, -360, 0, -80, 0, 0, 0, -304, 0, 0, 0, 0, 0, 70, 0, -164, 0, -176, 0, 0, 0, -344, 0, 0, 0, 0, 0, 0, 0, -24, 0, 8, 0, 0, 0, -400, 0, 0, 0, 0, 0, -50, 0, -196, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 124, 0, -40, 0, 60, 0, 0, 0, -100, 0, 0, 0, 0, 0, -110, 0, 0, 0, 136, 0, 0, 0, 100, 0, 0, 0, 0, 0, -210, 0, 60, 0, 36, 0, 0, 0, 120, 0, 0, 0, 0, 0, -250, 0, -248, 0, -180, 0, 0, 0, 436, 0, 0, 0, 0, 0, -500, 0, 420, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -100, 0, 484, 0, 300, 0, 0, 0, 220, 0, 0, 0, 0, 0, -116, 0, 436, 0, -264, 0, 0, 0, 268, 0, 0, 0, 0, 0, -186, 0, 340, 0, 220, 0, 0, 0, 248, 0, 0, 0, 0, 0, -340, 0, 280, 0, -48, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 72, 0, -28, 0, 0, 0, 280, 0, 0, 0, 0, 0, -180, 0, 272, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 240, 0, 52, 0, 0, 0, -60, 0, 0, 0, 0, 0, -90, 0, 0, 0, -304, 0, 0, 0, 16, 0, 0, 0, 0, 0, 242, 0, 180, 0, 156, 0, 0, 0, -200, 0, 0, 0, 0, 0, 234, 0, 276, 0, 200, 0, 0, 0, -536, 0, 0, 0, 0, 0, 290, 0, -680, 0, 0, 0, 0, 0, -276, 0, 0, 0, 0, 0, 182, 0, -592, 0, -160, 0, 0, 0, -80, 0, 0, 0, 0, 0, 176, 0, -444, 0, -112, 0, 0, 0, -76, 0, 0, 0, 0, 0, 184, 0, -780, 0, -200, 0, 0, 0, -224, 0, 0, 0, 0, 0, 50, 0, -136, 0, -56, 0, 0, 0, -428, 0, 0, 0, 0, 0, 0, 0, -248, 0, -576, 0, 0, 0, 220, 0, 0, 0, 0, 0, -100, 0, -484, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -124, 0, -40, 0, -148, 0, 0, 0, 540, 0, 0, 0, 0, 0, -190, 0, 0, 0, -528, 0, 0, 0, -220, 0, 0, 0, 0, 0, -348, 0, 320, 0, -296, 0, 0, 0, 940, 0, 0, 0, 0, 0, -176, 0, 176, 0, 80, 0, 0, 0, 564, 0, 0, 0, 0, 0, -240, 0, 220, 0, 0, 0, 0, 0, 276, 0, 0, 0, 0, 0, -54, 0, 1332, 0, -100, 0, 0, 0, 500, 0, 0, 0, 0, 0, 124, 0, 800, 0, 296, 0, 0, 0, 156, 0, 0, 0, 0, 0, -206, 0, 620, 0, 280, 0, 0, 0, 96, 0, 0, 0, 0, 0, 170, 0, 80, 0, 720, 0, 0, 0, 684, 0, 0, 0, 0, 0, 0, 0, 440, 0, 220, 0, 0, 0, 20, 0, 0, 0, 0, 0, 560, 0, 388, 0, 720, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 240, 0, 332, 0, 0, 0, -420, 0, 0, 0, 0, 0, 530, 0, 0, 0, 288, 0, 0, 0, -188, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 27936881
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 41, 'source_dim': 96, 'source_embedding_index': 19, 'source_hecke_orbit_code': 3023690531432, 'source_is_minimal': True, 'source_label': '616.2.bs.a.41.19', 'source_level': 616, 'target_conrey_index': 41, 'target_dim': 96, 'target_embedding_index': 19, 'target_hecke_orbit_code': 3023690531432, 'target_is_minimal': True, 'target_label': '616.2.bs.a.41.19', 'target_level': 616, 'twist_class_label': '616.2.bs.a.41.6', 'twist_class_level': 616, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 27936882
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 41, 'source_dim': 96, 'source_embedding_index': 19, 'source_hecke_orbit_code': 3023690531432, 'source_is_minimal': True, 'source_label': '616.2.bs.a.41.19', 'source_level': 616, 'target_conrey_index': 41, 'target_dim': 96, 'target_embedding_index': 6, 'target_hecke_orbit_code': 3023690531432, 'target_is_minimal': True, 'target_label': '616.2.bs.a.41.6', 'target_level': 616, 'twist_class_label': '616.2.bs.a.41.6', 'twist_class_level': 616, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 27936883
    {'conductor': 11, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 41, 'source_dim': 96, 'source_embedding_index': 19, 'source_hecke_orbit_code': 3023690531432, 'source_is_minimal': True, 'source_label': '616.2.bs.a.41.19', 'source_level': 616, 'target_conrey_index': 601, 'target_dim': 96, 'target_embedding_index': 6, 'target_hecke_orbit_code': 3023690531432, 'target_is_minimal': True, 'target_label': '616.2.bs.a.601.6', 'target_level': 616, 'twist_class_label': '616.2.bs.a.41.6', 'twist_class_level': 616, 'twisting_char_label': '11.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 27936884
    {'conductor': 77, 'degree': 4, 'order': 10, 'parity': 1, 'source_conrey_index': 41, 'source_dim': 96, 'source_embedding_index': 19, 'source_hecke_orbit_code': 3023690531432, 'source_is_minimal': True, 'source_label': '616.2.bs.a.41.19', 'source_level': 616, 'target_conrey_index': 601, 'target_dim': 96, 'target_embedding_index': 19, 'target_hecke_orbit_code': 3023690531432, 'target_is_minimal': True, 'target_label': '616.2.bs.a.601.19', 'target_level': 616, 'twist_class_label': '616.2.bs.a.41.6', 'twist_class_level': 616, 'twisting_char_label': '77.62', 'twisting_conrey_index': 62, 'weight': 2}
• hecke_orbit_code 3023690531432 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': 45, 'hecke_orbit': 1, 'label': '616.2.bs.a', 'level': 616, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 14887440
    {'hecke_orbit_code': 3023690531432, 'n': 1, 'trace_an': 96}
  • id: 14887441
    {'hecke_orbit_code': 3023690531432, 'n': 2, 'trace_an': 0}
  • id: 14887442
    {'hecke_orbit_code': 3023690531432, 'n': 3, 'trace_an': 0}
  • id: 14887443
    {'hecke_orbit_code': 3023690531432, 'n': 4, 'trace_an': 0}
  • id: 14887444
    {'hecke_orbit_code': 3023690531432, 'n': 5, 'trace_an': 0}
  • id: 14887445
    {'hecke_orbit_code': 3023690531432, 'n': 6, 'trace_an': 0}
  • id: 14887446
    {'hecke_orbit_code': 3023690531432, 'n': 7, 'trace_an': 0}
  • id: 14887447
    {'hecke_orbit_code': 3023690531432, 'n': 8, 'trace_an': 0}
  • id: 14887448
    {'hecke_orbit_code': 3023690531432, 'n': 9, 'trace_an': 24}
  • id: 14887449
    {'hecke_orbit_code': 3023690531432, 'n': 10, 'trace_an': 0}
  • id: 14887450
    {'hecke_orbit_code': 3023690531432, 'n': 11, 'trace_an': 4}
  • id: 14887451
    {'hecke_orbit_code': 3023690531432, 'n': 12, 'trace_an': 0}
  • id: 14887452
    {'hecke_orbit_code': 3023690531432, 'n': 13, 'trace_an': 0}
  • id: 14887453
    {'hecke_orbit_code': 3023690531432, 'n': 14, 'trace_an': 0}
  • id: 14887454
    {'hecke_orbit_code': 3023690531432, 'n': 15, 'trace_an': 12}
  • id: 14887455
    {'hecke_orbit_code': 3023690531432, 'n': 16, 'trace_an': 0}
  • id: 14887456
    {'hecke_orbit_code': 3023690531432, 'n': 17, 'trace_an': 0}
  • id: 14887457
    {'hecke_orbit_code': 3023690531432, 'n': 18, 'trace_an': 0}
  • id: 14887458
    {'hecke_orbit_code': 3023690531432, 'n': 19, 'trace_an': 0}
  • id: 14887459
    {'hecke_orbit_code': 3023690531432, 'n': 20, 'trace_an': 0}
  • id: 14887460
    {'hecke_orbit_code': 3023690531432, 'n': 21, 'trace_an': 0}
  • id: 14887461
    {'hecke_orbit_code': 3023690531432, 'n': 22, 'trace_an': 0}
  • id: 14887462
    {'hecke_orbit_code': 3023690531432, 'n': 23, 'trace_an': -24}
  • id: 14887463
    {'hecke_orbit_code': 3023690531432, 'n': 24, 'trace_an': 0}
  • id: 14887464
    {'hecke_orbit_code': 3023690531432, 'n': 25, 'trace_an': 36}
  • id: 14887465
    {'hecke_orbit_code': 3023690531432, 'n': 26, 'trace_an': 0}
  • id: 14887466
    {'hecke_orbit_code': 3023690531432, 'n': 27, 'trace_an': 0}
  • id: 14887467
    {'hecke_orbit_code': 3023690531432, 'n': 28, 'trace_an': 0}
  • id: 14887468
    {'hecke_orbit_code': 3023690531432, 'n': 29, 'trace_an': 20}
  • id: 14887469
    {'hecke_orbit_code': 3023690531432, 'n': 30, 'trace_an': 0}
  • id: 14887470
    {'hecke_orbit_code': 3023690531432, 'n': 31, 'trace_an': 0}
  • id: 14887471
    {'hecke_orbit_code': 3023690531432, 'n': 32, 'trace_an': 0}
  • id: 14887472
    {'hecke_orbit_code': 3023690531432, 'n': 33, 'trace_an': 0}
  • id: 14887473
    {'hecke_orbit_code': 3023690531432, 'n': 34, 'trace_an': 0}
  • id: 14887474
    {'hecke_orbit_code': 3023690531432, 'n': 35, 'trace_an': -30}
  • id: 14887475
    {'hecke_orbit_code': 3023690531432, 'n': 36, 'trace_an': 0}
  • id: 14887476
    {'hecke_orbit_code': 3023690531432, 'n': 37, 'trace_an': 16}
  • id: 14887477
    {'hecke_orbit_code': 3023690531432, 'n': 38, 'trace_an': 0}
  • id: 14887478
    {'hecke_orbit_code': 3023690531432, 'n': 39, 'trace_an': -60}
  • id: 14887479
    {'hecke_orbit_code': 3023690531432, 'n': 40, 'trace_an': 0}
  • id: 14887480
    {'hecke_orbit_code': 3023690531432, 'n': 41, 'trace_an': 0}
  • id: 14887481
    {'hecke_orbit_code': 3023690531432, 'n': 42, 'trace_an': 0}
  • id: 14887482
    {'hecke_orbit_code': 3023690531432, 'n': 43, 'trace_an': 0}
  • id: 14887483
    {'hecke_orbit_code': 3023690531432, 'n': 44, 'trace_an': 0}
  • id: 14887484
    {'hecke_orbit_code': 3023690531432, 'n': 45, 'trace_an': 0}
  • id: 14887485
    {'hecke_orbit_code': 3023690531432, 'n': 46, 'trace_an': 0}
  • id: 14887486
    {'hecke_orbit_code': 3023690531432, 'n': 47, 'trace_an': 0}
  • id: 14887487
    {'hecke_orbit_code': 3023690531432, 'n': 48, 'trace_an': 0}
  • id: 14887488
    {'hecke_orbit_code': 3023690531432, 'n': 49, 'trace_an': -30}
  • id: 14887489
    {'hecke_orbit_code': 3023690531432, 'n': 50, 'trace_an': 0}
  • id: 14887490
    {'hecke_orbit_code': 3023690531432, 'n': 51, 'trace_an': 60}
  • id: 14887491
    {'hecke_orbit_code': 3023690531432, 'n': 52, 'trace_an': 0}
  • id: 14887492
    {'hecke_orbit_code': 3023690531432, 'n': 53, 'trace_an': 0}
  • id: 14887493
    {'hecke_orbit_code': 3023690531432, 'n': 54, 'trace_an': 0}
  • id: 14887494
    {'hecke_orbit_code': 3023690531432, 'n': 55, 'trace_an': 0}
  • id: 14887495
    {'hecke_orbit_code': 3023690531432, 'n': 56, 'trace_an': 0}
  • id: 14887496
    {'hecke_orbit_code': 3023690531432, 'n': 57, 'trace_an': -80}
  • id: 14887497
    {'hecke_orbit_code': 3023690531432, 'n': 58, 'trace_an': 0}
  • id: 14887498
    {'hecke_orbit_code': 3023690531432, 'n': 59, 'trace_an': 0}
  • id: 14887499
    {'hecke_orbit_code': 3023690531432, 'n': 60, 'trace_an': 0}
  • id: 14887500
    {'hecke_orbit_code': 3023690531432, 'n': 61, 'trace_an': 0}
  • id: 14887501
    {'hecke_orbit_code': 3023690531432, 'n': 62, 'trace_an': 0}
  • id: 14887502
    {'hecke_orbit_code': 3023690531432, 'n': 63, 'trace_an': 40}
  • id: 14887503
    {'hecke_orbit_code': 3023690531432, 'n': 64, 'trace_an': 0}
  • id: 14887504
    {'hecke_orbit_code': 3023690531432, 'n': 65, 'trace_an': 0}
  • id: 14887505
    {'hecke_orbit_code': 3023690531432, 'n': 66, 'trace_an': 0}
  • id: 14887506
    {'hecke_orbit_code': 3023690531432, 'n': 67, 'trace_an': 64}
  • id: 14887507
    {'hecke_orbit_code': 3023690531432, 'n': 68, 'trace_an': 0}
  • id: 14887508
    {'hecke_orbit_code': 3023690531432, 'n': 69, 'trace_an': 0}
  • id: 14887509
    {'hecke_orbit_code': 3023690531432, 'n': 70, 'trace_an': 0}
  • id: 14887510
    {'hecke_orbit_code': 3023690531432, 'n': 71, 'trace_an': -24}
  • id: 14887511
    {'hecke_orbit_code': 3023690531432, 'n': 72, 'trace_an': 0}
  • id: 14887512
    {'hecke_orbit_code': 3023690531432, 'n': 73, 'trace_an': 0}
  • id: 14887513
    {'hecke_orbit_code': 3023690531432, 'n': 74, 'trace_an': 0}
  • id: 14887514
    {'hecke_orbit_code': 3023690531432, 'n': 75, 'trace_an': 0}
  • id: 14887515
    {'hecke_orbit_code': 3023690531432, 'n': 76, 'trace_an': 0}
  • id: 14887516
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  • id: 14887517
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  • id: 14887518
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  • id: 14887519
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  • id: 14887520
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  • id: 14887521
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  • id: 14887522
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  • id: 14887523
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  • id: 14887524
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  • id: 14887525
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  • id: 14887526
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  • id: 14887527
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  • id: 14887528
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  • id: 14887529
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  • id: 14887530
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  • id: 14887531
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  • id: 14887532
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  • id: 14887533
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  • id: 14887534
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  • id: 14887535
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  • id: 14887536
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  • id: 14887537
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  • id: 14887538
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  • id: 14887539
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  • id: 14887540
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  • id: 14887541
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  • id: 14887542
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  • id: 14887543
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  • id: 14887544
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  • id: 14887545
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  • id: 14887546
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  • id: 14887547
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  • id: 14887548
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  • id: 14887549
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  • id: 14887550
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  • id: 14887551
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  • id: 14887552
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  • id: 14887553
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  • id: 14887554
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  • id: 14887555
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  • id: 14887556
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  • id: 14887557
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  • id: 14887558
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  • id: 14887559
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  • id: 14887560
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  • id: 14887561
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  • id: 14887562
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  • id: 14887563
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  • id: 14887564
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  • id: 14887565
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  • id: 14887566
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  • id: 14887567
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  • id: 14887568
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  • id: 14887569
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  • id: 14887570
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  • id: 14887571
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  • id: 14887572
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  • id: 14887573
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  • id: 14887574
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  • id: 14887575
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  • id: 14887576
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  • id: 14887577
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  • id: 14887578
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  • id: 14887579
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  • id: 14887580
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  • id: 14887581
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  • id: 14887582
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  • id: 14887583
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  • id: 14887584
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  • id: 14887585
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  • id: 14887586
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  • id: 14887587
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  • id: 14887588
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  • id: 14887589
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  • id: 14887590
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  • id: 14887591
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  • id: 14887592
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  • id: 14887593
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  • id: 14887594
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  • id: 14887595
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  • id: 14887596
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  • id: 14887597
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  • id: 14887598
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  • id: 14887599
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  • id: 14887600
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  • id: 14887601
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  • id: 14887602
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  • id: 14887603
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  • id: 14887604
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  • id: 14887605
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  • id: 14887606
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  • id: 14887607
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  • id: 14887608
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  • id: 14887609
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  • id: 14887610
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  • id: 14887611
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  • id: 14887612
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  • id: 14887613
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  • id: 14887614
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  • id: 14887615
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  • id: 14887616
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  • id: 14887617
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  • id: 14887618
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  • id: 14887619
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  • id: 14887620
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  • id: 14887621
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  • id: 14887622
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  • id: 14887623
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  • id: 14887624
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  • id: 14887625
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  • id: 14887626
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  • id: 14887627
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  • id: 14887628
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  • id: 14887629
    {'hecke_orbit_code': 3023690531432, 'n': 569, 'trace_an': 420}
  • id: 14887630
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  • id: 14887631
    {'hecke_orbit_code': 3023690531432, 'n': 577, 'trace_an': 0}
  • id: 14887632
    {'hecke_orbit_code': 3023690531432, 'n': 587, 'trace_an': 0}
  • id: 14887633
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  • id: 14887634
    {'hecke_orbit_code': 3023690531432, 'n': 599, 'trace_an': -264}
  • id: 14887635
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  • id: 14887636
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  • id: 14887637
    {'hecke_orbit_code': 3023690531432, 'n': 613, 'trace_an': 220}
  • id: 14887638
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  • id: 14887639
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  • id: 14887640
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  • id: 14887641
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  • id: 14887642
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  • id: 14887643
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  • id: 14887644
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  • id: 14887645
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  • id: 14887646
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  • id: 14887647
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  • id: 14887648
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  • id: 14887649
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  • id: 14887650
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  • id: 14887651
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  • id: 14887652
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  • id: 14887653
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  • id: 14887654
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  • id: 14887655
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  • id: 14887656
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  • id: 14887657
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  • id: 14887658
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  • id: 14887659
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  • id: 14887660
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  • id: 14887661
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  • id: 14887662
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  • id: 14887663
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  • id: 14887664
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  • id: 14887665
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  • id: 14887666
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  • id: 14887667
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  • id: 14887668
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  • id: 14887669
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  • id: 14887670
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  • id: 14887671
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  • id: 14887672
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  • id: 14887673
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  • id: 14887674
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  • id: 14887675
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  • id: 14887676
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  • id: 14887677
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  • id: 14887678
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  • id: 14887679
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  • id: 14887680
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  • id: 14887681
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  • id: 14887682
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  • id: 14887683
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  • id: 14887684
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  • id: 14887685
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  • id: 14887686
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  • id: 14887687
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  • id: 14887688
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  • id: 14887689
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  • id: 14887690
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  • id: 14887691
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  • id: 14887692
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  • id: 14887693
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  • id: 14887694
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  • id: 14887695
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