Embedded newform data - 276.2.c.b.47.7

Formats: - HTML - YAML - JSON - 2024-06-09T06:56:18.355695

• 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': 1104, 'analytic_conductor': 2.2038710957873384, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 12, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [276, 2, [139, 185, 97], [1, 1, 2]], 'cm_discs': [], 'conrey_index': 47, 'dim': 22, 'has_non_self_twist': 1, 'hecke_cutters': [[11, [3072, -1280, -10496, 5344, 8272, -5512, -928, 972, 20, -58, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503737099878676, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 12, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '276.2.c.b', 'level': 276, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 23], 'level_radical': 138, 'minimal_twist': '276.2.c.a', 'prim_orbit_index': 2, 'related_objects': [], 'relative_dim': 22, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '276.2.c', 'trace_display': [0, 0, 0, 0], 'traces': [22, 0, 0, 0, 0, 0, 0, 9, -2, 4, 0, -7, -4, -12, 0, 4, 0, 13, 0, 14, 0, 2, -22, -30, -18, -27, -12, 6, 0, 34, 0, 20, -8, -6, 8, -36, -4, -22, 24, -4, 0, 26, 0, 56, 0, 0, -8, -22, -14, -20, -16, -19, 0, 22, 0, 18, 12, 3, 72, -28, 12, -63, 20, 3, 0, 60, 0, 20, 0, 0, -40, -36, -4, -28, -48, 26, 0, 11, 0, 84, 10, -29, 8, -38, 8, -28, 48, -30, 0, 84, 0, 0, 12, -13, -32, -45, -4, -64, -20, -20, 0, 28, 0, 40, -12, 36, 24, -50, -28, -40, 28, 28, 0, 62, 0, 81, 0, 8, -40, -64, -10, -40, -84, -23, 0, 70, 0, 28, -16, 18, 56, -58, 24, -98, 80, 32, 0, 0, 0, 52, 0, -31, -16, -21, 24, -15, -24, -30, 0, 68, 0, 68, 28, 4, 96, -56, -12, -14, 24, 14, 0, 42, 0, 33, -20, -16, -144, -64, -6, -136, -60, 40, 0, 119, 0, 2, 24, -30, 16, 4, 28, 8, 100, -9, 0, 39, 0, 61, 0, 72, -24, -10, 4, -38, -36, 20, 0, -58, 0, 5, -24, 8, 96, -84, 24, -52, 2, 9, 0, -24, 0, 32, -44, -14, -104, 27, 32, 46, -108, 68, 0, -22, 0, 146, 2, 34, 24, -44, -28, -4, 144, 12, 0, 86, 0, -28, 8, 88, -56, -42, -44, -100, -40, -84, 0, 19, 0, -4, -28, -64, 112, -76, 0, 13, 32, -92, 0, 40, 0, 80, 0, 37, -40, -66, 32, -32, -84, -32, 0, 84, 0, -54, 4, -82, 96, 7, -68, -65, 96, 44, 0, -41, 0, 27, 48, -22, -24, -8, 38, 34, -36, 5, 0, 68, 0, 112, -8, -40, 4, -7, -16, 35, 32, 46, 0, -4, 0, -112, 24, -30, -160, -81, 12, -42, -208, -10, 0, -56, 0, -52, -4, 12, 40, -49, -20, 49, 100, -72, 0, -108, 0, 118, -56, -40, -32, 126, -52, 75, -40, 28, 0, 36, 0, -24, 0, -36, 216, 160, 12, -136, 64, 20, 0, -24, 0, -74, 60, -111, -72, 50, -14, 132, -72, -46, 0, 40, 0, -4, -52, 44, 48, 28, 76, -8, 140, -88, 0, -84, 0, -104, 52, 54, -120, -18, 56, -41, -40, 108, 0, 40, 0, -105, 28, 117, 48, -2, 84, 102, 56, -60, 0, 68, 0, 52, 44, 44, -104, 2, -4, 58, -232, 66, 0, -13, 0, -101, -8, 44, 32, 148, -36, -60, 168, 6, 0, -31, 0, -82, -100, 28, -24, 74, -12, 76, -72, 54, 0, -37, 0, 116, 54, 24, 160, -32, 8, 172, 28, 86, 0, 85, 0, -40, 0, -44, -280, 194, -44, -26, -84, -14, 0, -64, 0, -21, 36, 91, 24, 205, -64, 182, 208, 12, 0, -162, 0, 36, 44, -95, -24, -144, -104, 84, 0, -28, 0, -165, 0, -234, 100, -88, 288, 104, -32, -190, 80, 101, 0, -162, 0, -124, -40, 120, -80, -122, -16, -2, -156, 25, 0, -80, 0, 45, -16, 89, 32, 112, 40, 168, 120, -182, 0, -62, 0, -101, -44, -134, -64, 8, 22, -80, -64, -120, 0, 10, 0, -134, -12, 99, 176, -22, -4, 120, 40, 4, 0, -62, 0, 106, -36, -138, -192, 30, 120, 109, -144, 39, 0, -274, 0, -84, -52, 34, 56, -100, -16, -26, 120, -24, 0, 36, 0, -180, -88, -24, 18, -4, 20, 228, -52, 88, 0, -28, 0, 112, -80, -166, 40, -13, -32, 60, 48, 112, 0, -142, 0, -132, 28, 27, -280, 118, -4, -88, -240, -137, 0, -180, 0, -194, 96, -64, -16, 202, 52, 148, 160, 72, 0, 94, 0, 72, 12, -73, -16, 233, -18, 194, 8, 6, 0, -128, 0, -212, -100, -120, 440, 150, 20, 70, 0, -160, 0, 18, 0, -6, 112, -12, -48, 152, -104, 201, -136, -191, 0, -26, 0, 47, -92, 204, 16, 32, -12, 49, 232, 182, 0, -108, 0, -144, 16, 244, -88, 118, -100, -198, 28, -105, 0, -40, 0, -124, -56, 126, 40, -6, 0, 240, -20, 136, 0, -34, 0, -32, -28, -32, -104, 257, 104, 199, -132, 10, 0, -23, 0, -58, 132, -29, 24, 80, 44, -170, 156, 82, 0, 108, 0, -169, -4, -74, 112, -8, -32, 188, -20, 78, 0, -32, 0, 46, -26, -38, 144, 214, -28, 20, -4, -20, 0, -82, 0, -264, -108, 244, -264, 127, 144, -64, -96, 68, 0, -252, 0, -65, -60, -73, -40, -142, 12, 140, 8, 104, 0, -213, 0, 228, -124, -40, 72, 241, 132, 168, 20, 187, 0, -20, 0, -164, 44, 58, 144, -150, -8, 6, -88, -52, 0, -23, 0, -153, 92, 152, -176, 76, -104, 51, -264, -108, 0, -104, 0, 76, 68, -216, -64, -46, -8, 123, 184, -144, 0, -34, 0, -150, 60, 80, -128, -140, 88, -41, 20, -104, 0, -50, 0, -102, 36, -128, 48, 36, -92, 28, -8, -120, 0, -147, 0, 104, 104, 4, -96, -12, 22, 90, -108, 12, 0, -10, 0, -340, 120, -146, 4, 72, 68, -180, 304, -52, 0, 8, 0, -32, 168, -144, 128, -226, 64, 212, 144, 86, 0, -104, 0, 170, 4, 22, 56, 120, 20, 171, -56, -224, 0, -201, 0, -46, -152, 13, -248, 320, -128, -180, -328, 92, 0, 260, 0, -116, -24, 4, -184, 228, 8, 258, 136, 152, 0, -203, 0, -74, 60, -220, -8, 114, -88, -90, -16, -190, 0, 34, 0, 4, -116, -59, 456, -68, -20, -148, -84, -113, 0, -132, 0, -79, 40, 266, -104, 175, -20, 196, -44, 220, 0, 190, 0, 176, -24, 176, 0, -124, 88, 234, 104, -136, 0, 250, 0, -157, 56, 32, 40, -52, -14, -134, 168, 226, 0, -26, 0, 13, 64, -112, 136, 274, -64, 143, -56, -164, 0, -145, 0, 238, -84, 33, -80, -231, -40, 176, -240, 106, 0, 80, 0, -157, -24, -164, 40, -14, -12, -163, 224, 264], '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], [-0.5131144845369427, -0.8583201767163507], [-0.1003509048364321, -0.9949521073390967], [-0.473427051516775, 0.8808330300869359], [0.0, 0.7110824676606522], [-0.8024959657876374, 0.5966575440690977], [0.0, -1.7815391465593393], [0.9989590395466921, -0.04561619567599237], [-0.9798593917970188, 0.19968868848078652], [0.6103364293023897, -0.36486671385695285], [-1.7563396066536343, 0.0], [0.9238955124926314, 0.3826448509989101], [-0.44804778158012937, 0.0], [-1.5291309951019088, 0.9141335408691804], [0.707492999690851, -0.07135776904306941], [-0.5517336537842658, -0.8340203686252896], [0.0, -0.8736009079995066], [0.6741768771256945, 0.738569927866716], [0.0, 0.7314163350610284], [-0.6263449246312279, -0.33664567604985507], [-1.7725461281763104, 0.1787790653587547], [0.9012032919398965, 1.5075017215568733], [-0.20851441405707477, 0.0], [-0.1456323735296649, -0.9893387750311398], [0.49436172418563745, 0.0], [0.2298998064934088, 0.3845684510632255], [0.29701045799504583, 0.954874226189802], [1.5692385246823566, 0.8434288253172997], [0.0, 0.022979948659736328], [-0.42427271878499834, -0.5706408116399915], [0.0, -0.4184308581827106], [-0.4327539808202969, 0.9015120587569454], [0.17625026872775545, 1.7474737928431536], [-0.749829285733701, 0.44825727959917205], [1.2668212525694673, 0.0], [0.28799955021086554, -0.9576305441444206], [0.27795945671881145, 0.0], [0.6277893979628075, -0.37530031574673944], [0.04496200029152207, 0.445786084471757], [0.03243687698657583, 0.7103422589327769], [0.0, -1.3940767396172435], [1.0629687718490517, 1.4296779780066202], [0.0, -0.5931893388787794], [0.8314986814401625, -1.5470419375904179], [-0.14199512536883693, -0.6967608342794899], [0.10699176608741857, 0.17897212872137472], [-0.69366830711037, 0.0], [-0.7744433519415003, 0.6326432601661173], [-2.173881730723379, 0.0], [-0.25366416128030767, -0.42432064246481616], [-0.8691910643874575, 0.08766664158367916], [0.21211794017211263, -0.39465528507295494], [0.0, -1.148095969145156], [0.6671874465089103, -0.7448898651619044], [0.0, -1.2489023015494056], [-0.08126703831389127, -1.7796846347617512], [0.7277242239112091, -0.0733982910355212], [0.01972415359455755, -0.011791344511226015], [0.9124416944233865, 0.0], [-0.27209204488594757, 0.6569659008838632], [0.2630797744468524, 0.0], [-0.35914764813895844, 0.21470293411077215], [0.35575321565361423, 1.7456578646102139], [0.9958383253840991, -0.09113742204052662], [0.0, -0.3185989221558793], [1.4094554488925874, -1.0479332762572424], [0.0, -1.350635106018283], [0.769496534879904, 0.41358630207658387], [0.02092461012206591, 0.2074618556766635], [-0.6500243340126265, -1.087338241373454], [-0.17677228257219751, 0.0], [-0.9697303586323338, 0.2441782782042768], [0.8561539885575357, 0.0], [-0.1426250233564416, -0.23857821001087107], [-0.0496096463385274, -0.49186623926628925], [-0.6442556666668872, -0.34627227893914825], [0.0, 3.1289877639060815], [0.3595565371981543, -0.26733108898320745], [0.0, 1.2788772697314748], [0.5930572618013178, -0.3923281280243437], [0.9202488553856468, -0.3913336736870556], [-1.1965641935044264, 0.7153209676536437], [1.7725711134801352, 0.0], [0.6816967812839239, -1.6459560228361259], [0.6212022894108756, 0.0], [-0.5091463781726892, 0.3043740418515948], [0.02286394834554891, -0.0023060586410992958], [-1.7545113265805297, 0.08011753117060766], [0.0, -1.0758632946512785], [-0.5251841268474143, 0.4793953574262912], [0.0, 0.7982146624140689], [0.09871636424578888, -0.18366638315069514], [-0.4163186641245946, 0.04198991523011981], [0.3559312558425512, 0.5953895039415046], [-0.5200973324225066, 0.0], [0.9403885761987151, 0.34010193435932323], [0.28050000479008363, 0.0], [1.1154502037044038, 1.865886551274937], [1.7209658587646453, -0.35072115257952474], [-0.23404421346395549, 0.4354501354734371], [0.0, 0.8021461716649798], [0.5212405722635194, 0.701061204378021], [0.0, -0.5186564841323033], [-0.4475813815583121, 0.020438235276753473], [-0.12712665896136832, -1.2604264748659455], [-0.9854339351240002, 0.5891046714068585], [-1.5463979646623631, 0.0], [-0.981697543404923, -0.19044666779111524], [0.30412463650846594, 0.0], [-1.0719580441673429, 0.6408298606965248], [-0.02789348298957581, -0.27655634721721184], [-1.485839935733804, 0.9829351026908869], [0.0, -0.2870769590378697], [-0.43640507416953345, -0.5869586581976541], [0.0, -0.14827094409051972], [-0.020241497809197772, -0.010879329337985834], [0.43902382675510904, -0.08947007388046194], [-0.46818704970407066, -0.7831671164008476], [-1.556354216070905, 0.0], [0.7035014575015097, -0.10355662754075197], [2.0847288139002433, 0.0], [-0.13499004285739183, -0.22580667849372], [-1.3870395898745935, 0.13989686223201353], [0.3685677206949539, 0.19809648745307448], [0.0, 1.0626144224115501], [1.3157912389660622, -1.2010724983045504], [0.0, -0.6443751200803192], [-0.5892041572028918, -0.8079841960922441], [-0.5901949827685271, 0.05952708689581046], [-0.2734598831664732, 0.16347772171603958], [0.8082557421498847, 0.0], [-1.622674281000366, -0.6720543070914643], [1.3030468333441843, 0.0], [-1.1592773628769197, 0.6930304362220704], [-0.6789943210646002, 0.21119892939213766], [-0.03985034996203011, -0.8726915240023053], [0.0, -0.9034123754905901], [0.1673319760893755, -0.12441169819430116], [0.0, 0.05580419910284441], [-0.5997474504027507, 1.1158580024792915], [0.06961024227488169, 0.6901667439538063], [0.09070441865245193, 0.15172721681592125], [0.7869240644624779, 0.0], [0.7071658360080437, 0.7070477214326092], [-0.016340638599680407, 0.0], [-0.4393050125229475, -0.7348542427551125], [0.21815099868548013, 2.162908209089189], [-0.13159352603559152, 0.24483587050294917], [0.0, -0.4119759951376903], [-0.39672328929879475, 0.2949646522343671], [0.0, 1.6874947983634816], [0.03336443066076107, 0.7306549595813265], [0.17444821957404574, 0.8560060543857199], [2.6856733304591667, -1.6055289435990703], [0.29753884718192625, 0.0], 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[-0.23877372452860016, 0.17752879782471867], [0.0, -1.5900126083418193], [-0.9243444186508523, -0.49681340022486387], [-0.09719663824651613, -0.9636784063608985], [-0.39062000898516, -0.6534156513699937], [-1.0910421846362344, 0.0], [0.43448553591612044, -0.10940353585948187], [-1.134463851937094, 0.0], [1.234660851886714, 2.0652980036853092], [0.06905344921914792, 0.6846462912478037], [0.43447562353611613, 0.23352043620152899], [0.0, 0.9481612762715077], [1.1856786071943857, -0.8815546943336035], [0.0, 0.29068509451188673], [-0.5034247899293216, -0.7609949583320766], [0.3762591604235151, 1.2096549632680658], [0.8942339495689435, -0.5345841849412069], [1.3861851670857013, 0.0], [-0.48935580232229314, 1.181548970533738], [-0.3835978952641833, 0.0], [0.31035504920235685, -0.18553411117997226], [0.7820997769022734, -0.07888261123886035], [-1.5547341128806362, 0.07099495846144611], [0.0, 0.2659087653481747], [0.8479491571156054, -0.774019755118879], [0.0, -0.2628280834488729], [-0.7755842560419911, 1.4430105507246926], [-0.04015685804377039, 0.004050222126628551], [0.6338917347895495, 1.0603521869288175], [-1.6094645124226512, 0.0], [0.6980452809199614, -0.13553988933053882], [0.8249156169204803, 0.0], [0.06390282531266779, 0.10689443772872899], [1.5152525691302108, -0.308798181432785], [0.7647130174015523, -1.4227841060342659], [0.0, 0.5210994726967705], [-0.22164431062307338, -0.2981084658743538], [0.0, -1.409408884922647], [2.0825586936491014, -0.09509739750625298], [-0.06412081369424337, -0.6357405427820685], [0.17119937134288288, -0.10234511498461736], [-1.898956817912298, 0.0], [0.999955603126119, -0.009422938855768033], [0.09941736524410888, 0.0], [0.7881990282463238, -0.4711951892338957], [0.022227491986951987, 0.22037957733742203], [-0.14514996519230236, -0.21941389046202184], [0.0, -0.834133792893244], [-0.46875596353785715, -0.6304701472683687], [0.0, 1.8895813157409096], [1.361599788787138, 0.731827884891801], [-0.2979993813596748, 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-0.45207448501622804, -0.3063716655403618, -0.4026861411073251, -0.17460135212593816, -0.2290039289645244, -0.38200329201395045, -0.2640854715857978, -0.17959560239825545, 0.11041659067167185, -0.07663850036787115, -0.40960292274209925, -0.22760468593991243, 0.06568133169533034, -0.4582494273648398, -0.39067230622641885, -0.2257042781110911, -0.4770759585376853, -0.44779091403384025, -0.18378753723468544, -0.42540776670520875, 0.004441333476542534, -0.46697960667728183, 0.15982771500133652, -0.38229043606505997, 0.06424992828836645, -0.34834971954204236, 0.09167372275582591, -0.21868887439973944, -0.2639656703376396, -0.27958323403906576, -0.19029289914070233, 0.0408103232702034, -0.46724796234855476, -0.43377460869371226, -0.38885297700360505, -0.1907049686078349, -0.3297905088935513, 0.08791106176838177, -0.0972319564522335, -0.3996265434342856, -0.2870361129338745, 0.0803705710840808, -0.13156307744166443, 0.04349998145897404, 0.07031125602080741, -0.3798448907590629, -0.3330540354389629, 0.05369617872663788, -0.4104094403090791, 0.029023717858275747, -0.16954010936744243, -0.3059011681963266, 0.06428724601452418, -0.42333788115344095, -0.15252801586138479, -0.1460882685439991, -0.3236997307606161, -0.3401426215970185, -0.21399898488530517, 0.040760656791939465, -0.15562951385756288, -0.42547379387127005, -0.286266527462551, -0.46299458055538156, -0.32126722222896353, -0.4952105143868904, -0.2433862328387212, -0.30210969615809974, -0.20223489818517298, -0.24364098870948547, -0.16035244790147313, -0.47101351724966595, -0.3946350449710275, 0.07241493773727538, -0.23267899512077314, -0.42029358776454034, -0.390022051785205, -0.18785249225401549, -0.3559657425895065, 0.0759233549385676, -0.16259116925884076, 0.0012867132183167073, -0.36426008866661297, -0.4794872762603469, -0.43780706439839584, 0.02105711207935202, -0.22145202003644204, 0.03838417727980839, 0.05270256046986216, -0.2551085057212189, 0.04159397953663598, 0.03767720461480826, -0.19715989119661792, -0.16305382170474514, -0.4877989777304691, -0.29978434718494135, -0.31674682368813206, -0.4745832544985699, -0.12144369896015757, -0.40036052286044144, -0.48400276554581473, -0.4415101890777554, 0.038402163435419405, -0.47863412653688925, -0.1734059462496533, 0.05314885267140368, -0.25166979180904153, -0.08944608983928652, -0.17175962797803468, -0.4146254209208372, -0.14175714573282985, -0.4214402502462455, -0.37690402249777294, -0.23596613613440243, -0.22107030743332876, -0.46663210540490596, -0.3756445344331505, -0.3986024852046028, -0.27314750548988354, 0.1431536382302766, -0.3650511599588542, 0.09688954415697164, -0.20362720367422907, -0.4658885841452753, -0.3894489323580315, 0.021016453239578417, -0.39759012128500004, 0.19065791217303585, 0.04000015981670311, -0.45497712971049187, -0.3052318935534157, -0.4365899375756904, -0.2879294075991856, -0.21564479097745168, -0.48958181710655346, -0.3330428449332874, -0.07119440769110277, -0.0255547096247415, 0.10546248876183528, 0.10006355952163276, -0.2954933203885945, -0.4317950375797187, -0.06279157779569407, 0.0028314950573406824, -0.4821759216626337, -0.34599284505868494, 0.07860974259757368, -0.12812384726883277, 0.021223189834031365, -0.375539801807532, -0.44919350307088757, -0.4315290377790206, -0.1488698435890937, 0.035253733898933506, -0.12831145957200968], 'char_orbit_index': 3, 'conrey_index': 47, 'dual_conrey_index': 47, 'dual_embedding_index': 8, 'dual_embedding_m': 8, 'embedding_index': 7, 'embedding_m': 7, 'hecke_orbit': 2, 'hecke_orbit_code': 4503737099878676, 'label': '276.2.c.b.47.7', 'level': 276, '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': 1104, 'analytic_conductor': 2.2038710957873384, 'char_conductor': 12, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [276, 2, [139, 185, 97], [1, 1, 2]], 'conrey_index': 47, 'cusp_dim': 44, 'dim': 44, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [11], 'hecke_orbit_code': 137472508180, 'hecke_orbit_dims': [22, 22], 'label': '276.2.c', 'level': 276, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 23], 'level_radical': 138, 'mf_dim': 52, 'mf_new_dim': 44, 'num_forms': 2, 'prim_orbit_index': 2, 'relative_dim': 44, 'sturm_bound': 96, 'trace_bound': 6, 'trace_display': [0, 0, 0, 0], 'traces': [44, 0, 0, 0, 0, -3, 0, 0, -4, 8, 0, 7, -8, 0, 0, 8, 0, -1, 0, 0, 0, 4, 0, -8, -36, 0, 0, 12, 0, 10, 0, 0, -16, -12, 0, -33, -8, 0, 0, -8, 0, -12, 0, 0, 0, 0, 0, -5, -28, 0, 0, -38, 0, -32, 0, 0, 24, 6, 0, 36, 24, 0, 0, 6, 0, 42, 0, 0, 0, 0, 0, 12, -8, 0, 0, 52, 0, -35, 0, 0, 20, -58, 0, 38, 16, 0, 0, -60, 0, 58, 0, 0, 24, -26, 0, -27, -8, 0, 0, -40, 0, -32, 0, 0, -24, 72, 0, -8, -56, 0, 0, 56, 0, -6, 0, 0, 0, 16, 0, -22, -20, 0, 0, -46, 0, 32, 0, 0, -32, 36, 0, -20, 48, 0, 0, 64, 0, -3, 0, 0, 0, -62, 0, 75, 48, 0, 0, -60, 0, 25, 0, 0, 56, 8, 0, -7, -24, 0, 0, 28, 0, 25, 0, 0, -40, -32, 0, -58, -12, 0, 0, 80, 0, 117, 0, 0, 48, -60, 0, 68, 56, 0, 0, -18, 0, -11, 0, 0, 0, 144, 0, 76, 8, 0, 0, 40, 0, -146, 0, 0, -48, 16, 0, -102, 48, 0, 0, 18, 0, -124, 0, 0, -88, -28, 0, 84, 64, 0, 0, 136, 0, -62, 0, 0, 4, 68, 0, -94, -56, 0, 0, 24, 0, 27, 0, 0, 16, 176, 0, 42, -88, 0, 0, -168, 0, 37, 0, 0, -56, -128, 0, -94, 0, 0, 0, -184, 0, 60, 0, 0, 0, 74, 0, -90, 64, 0, 0, -64, 0, 64, 0, 0, 8, -164, 0, 21, -136, 0, 0, 88, 0, -143, 0, 0, 96, -44, 0, -45, 76, 0, 0, 10, 0, 55, 0, 0, -16, -80, 0, -25, -32, 0, 0, 92, 0, 68, 0, 0, 48, -60, 0, -172, 24, 0, 0, -20, 0, -110, 0, 0, -8, 24, 0, -1, -40, 0, 0, -144, 0, -176, 0, 0, -112, -80, 0, 200, -104, 0, 0, 56, 0, 174, 0, 0, 0, -72, 0, 193, 24, 0, 0, 40, 0, -112, 0, 0, 120, -222, 0, 90, -28, 0, 0, -92, 0, 146, 0, 0, -104, 88, 0, -3, 152, 0, 0, -176, 0, -12, 0, 0, 104, 108, 0, -1, 112, 0, 0, 216, 0, 150, 0, 0, 56, 234, 0, -48, 168, 0, 0, -120, 0, 174, 0, 0, 88, 88, 0, -82, -8, 0, 0, 132, 0, -27, 0, 0, -16, 88, 0, 260, -72, 0, 0, 12, 0, 71, 0, 0, -200, 56, 0, -48, -24, 0, 0, 108, 0, 13, 0, 0, 108, 48, 0, -68, 16, 0, 0, 172, 0, 211, 0, 0, 0, -88, 0, 200, -88, 0, 0, -28, 0, 4, 0, 0, 72, 182, 0, 165, -128, 0, 0, 24, 0, -250, 0, 0, 88, -190, 0, -308, -208, 0, 0, -56, 0, -289, 0, 0, 200, -176, 0, 109, -64, 0, 0, 202, 0, -132, 0, 0, -80, 240, 0, -178, -32, 0, 0, 50, 0, 20, 0, 0, -32, 178, 0, 40, 80, 0, 0, -364, 0, -27, 0, 0, -88, -268, 0, -170, 44, 0, 0, -240, 0, 64, 0, 0, -24, 198, 0, -216, -8, 0, 0, 8, 0, 96, 0, 0, -72, -276, 0, 52, 240, 0, 0, 78, 0, -237, 0, 0, -104, 68, 0, -127, -32, 0, 0, -48, 0, 148, 0, 0, -176, -48, 0, -136, 40, 0, 0, 176, 0, 56, 0, 0, -160, -332, 0, -279, -64, 0, 0, 224, 0, -272, 0, 0, 56, 54, 0, -36, -8, 0, 0, -274, 0, -212, 0, 0, 192, -128, 0, 322, 104, 0, 0, 144, 0, 360, 0, 0, 24, -146, 0, 357, -36, 0, 0, 12, 0, -204, 0, 0, -200, -240, 0, 122, 40, 0, 0, -320, 0, 262, 0, 0, 224, -24, 0, 4, -208, 0, 0, -382, 0, -48, 0, 0, -184, 408, 0, 12, -24, 0, 0, 364, 0, 130, 0, 0, 32, 488, 0, -6, -200, 0, 0, -210, 0, 204, 0, 0, -112, 252, 0, -70, 0, 0, 0, 272, 0, -58, 0, 0, -56, -64, 0, 332, 208, 0, 0, 20, 0, 36, 0, 0, 264, -58, 0, -164, 88, 0, 0, 164, 0, 116, 0, 0, -8, -148, 0, -122, -64, 0, 0, 156, 0, 273, 0, 0, -52, -76, 0, 250, -56, 0, 0, -40, 0, 29, 0, 0, -216, 488, 0, 356, 288, 0, 0, 136, 0, -404, 0, 0, -120, -146, 0, -424, 24, 0, 0, 208, 0, -303, 0, 0, -248, -80, 0, 179, 264, 0, 0, 374, 0, -60, 0, 0, 88, 116, 0, -308, -16, 0, 0, -104, 0, -9, 0, 0, 184, 304, 0, 34, -208, 0, 0, -216, 0, 24, 0, 0, 136, -432, 0, -128, -16, 0, 0, -288, 0, 122, 0, 0, 120, 160, 0, -240, 176, 0, 0, -208, 0, 116, 0, 0, 72, -256, 0, 39, -184, 0, 0, -240, 0, -337, 0, 0, 208, 8, 0, -136, 44, 0, 0, 24, 0, 129, 0, 0, 240, -292, 0, -125, 136, 0, 0, -104, 0, 134, 0, 0, 336, -288, 0, -336, 128, 0, 0, 172, 0, -282, 0, 0, 8, 44, 0, 13, 40, 0, 0, -448, 0, -379, 0, 0, -304, 26, 0, 386, -256, 0, 0, 184, 0, 450, 0, 0, -48, 8, 0, 463, 16, 0, 0, 304, 0, -241, 0, 0, 120, -440, 0, 194, -176, 0, 0, -380, 0, 376, 0, 0, -232, -118, 0, -12, -40, 0, 0, -226, 0, -90, 0, 0, 80, 532, 0, -28, -40, 0, 0, 440, 0, 244, 0, 0, -48, 352, 0, -174, 176, 0, 0, -272, 0, 322, 0, 0, 112, 64, 0, -190, -28, 0, 0, 452, 0, -64, 0, 0, 128, -224, 0, 475, -128, 0, 0, -328, 0, 121, 0, 0, -168, 66, 0, -152, -80, 0, 0, 212, 0, 176, 0, 0, -48, -328, 0, -182, -24, 0, 0, 528], '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: 34673672
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 47, 'source_dim': 22, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4503737099878676, 'source_is_minimal': True, 'source_label': '276.2.c.b.47.7', 'source_level': 276, 'target_conrey_index': 47, 'target_dim': 22, 'target_embedding_index': 7, 'target_hecke_orbit_code': 4503737099878676, 'target_is_minimal': True, 'target_label': '276.2.c.b.47.7', 'target_level': 276, 'twist_class_label': '276.2.c.a.47.15', 'twist_class_level': 276, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 34673673
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 47, 'source_dim': 22, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4503737099878676, 'source_is_minimal': True, 'source_label': '276.2.c.b.47.7', 'source_level': 276, 'target_conrey_index': 47, 'target_dim': 22, 'target_embedding_index': 16, 'target_hecke_orbit_code': 137472508180, 'target_is_minimal': True, 'target_label': '276.2.c.a.47.16', 'target_level': 276, 'twist_class_label': '276.2.c.a.47.15', 'twist_class_level': 276, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 34673674
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 47, 'source_dim': 22, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4503737099878676, 'source_is_minimal': True, 'source_label': '276.2.c.b.47.7', 'source_level': 276, 'target_conrey_index': 47, 'target_dim': 22, 'target_embedding_index': 15, 'target_hecke_orbit_code': 137472508180, 'target_is_minimal': True, 'target_label': '276.2.c.a.47.15', 'target_level': 276, 'twist_class_label': '276.2.c.a.47.15', 'twist_class_level': 276, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 34673675
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 47, 'source_dim': 22, 'source_embedding_index': 7, 'source_hecke_orbit_code': 4503737099878676, 'source_is_minimal': True, 'source_label': '276.2.c.b.47.7', 'source_level': 276, 'target_conrey_index': 47, 'target_dim': 22, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4503737099878676, 'target_is_minimal': True, 'target_label': '276.2.c.b.47.8', 'target_level': 276, 'twist_class_label': '276.2.c.a.47.15', 'twist_class_level': 276, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
• hecke_orbit_code 4503737099878676 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': 3, 'hecke_orbit': 2, 'label': '276.2.c.b', 'level': 276, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 20934097
    {'hecke_orbit_code': 4503737099878676, 'n': 1, 'trace_an': 22}
  • id: 20934098
    {'hecke_orbit_code': 4503737099878676, 'n': 2, 'trace_an': 0}
  • id: 20934099
    {'hecke_orbit_code': 4503737099878676, 'n': 3, 'trace_an': 0}
  • id: 20934100
    {'hecke_orbit_code': 4503737099878676, 'n': 4, 'trace_an': 0}
  • id: 20934101
    {'hecke_orbit_code': 4503737099878676, 'n': 5, 'trace_an': 0}
  • id: 20934102
    {'hecke_orbit_code': 4503737099878676, 'n': 6, 'trace_an': 0}
  • id: 20934103
    {'hecke_orbit_code': 4503737099878676, 'n': 7, 'trace_an': 0}
  • id: 20934104
    {'hecke_orbit_code': 4503737099878676, 'n': 8, 'trace_an': 9}
  • id: 20934105
    {'hecke_orbit_code': 4503737099878676, 'n': 9, 'trace_an': -2}
  • id: 20934106
    {'hecke_orbit_code': 4503737099878676, 'n': 10, 'trace_an': 4}
  • id: 20934107
    {'hecke_orbit_code': 4503737099878676, 'n': 11, 'trace_an': 0}
  • id: 20934108
    {'hecke_orbit_code': 4503737099878676, 'n': 12, 'trace_an': -7}
  • id: 20934109
    {'hecke_orbit_code': 4503737099878676, 'n': 13, 'trace_an': -4}
  • id: 20934110
    {'hecke_orbit_code': 4503737099878676, 'n': 14, 'trace_an': -12}
  • id: 20934111
    {'hecke_orbit_code': 4503737099878676, 'n': 15, 'trace_an': 0}
  • id: 20934112
    {'hecke_orbit_code': 4503737099878676, 'n': 16, 'trace_an': 4}
  • id: 20934113
    {'hecke_orbit_code': 4503737099878676, 'n': 17, 'trace_an': 0}
  • id: 20934114
    {'hecke_orbit_code': 4503737099878676, 'n': 18, 'trace_an': 13}
  • id: 20934115
    {'hecke_orbit_code': 4503737099878676, 'n': 19, 'trace_an': 0}
  • id: 20934116
    {'hecke_orbit_code': 4503737099878676, 'n': 20, 'trace_an': 14}
  • id: 20934117
    {'hecke_orbit_code': 4503737099878676, 'n': 21, 'trace_an': 0}
  • id: 20934118
    {'hecke_orbit_code': 4503737099878676, 'n': 22, 'trace_an': 2}
  • id: 20934119
    {'hecke_orbit_code': 4503737099878676, 'n': 23, 'trace_an': -22}
  • id: 20934120
    {'hecke_orbit_code': 4503737099878676, 'n': 24, 'trace_an': -30}
  • id: 20934121
    {'hecke_orbit_code': 4503737099878676, 'n': 25, 'trace_an': -18}
  • id: 20934122
    {'hecke_orbit_code': 4503737099878676, 'n': 26, 'trace_an': -27}
  • id: 20934123
    {'hecke_orbit_code': 4503737099878676, 'n': 27, 'trace_an': -12}
  • id: 20934124
    {'hecke_orbit_code': 4503737099878676, 'n': 28, 'trace_an': 6}
  • id: 20934125
    {'hecke_orbit_code': 4503737099878676, 'n': 29, 'trace_an': 0}
  • id: 20934126
    {'hecke_orbit_code': 4503737099878676, 'n': 30, 'trace_an': 34}
  • id: 20934127
    {'hecke_orbit_code': 4503737099878676, 'n': 31, 'trace_an': 0}
  • id: 20934128
    {'hecke_orbit_code': 4503737099878676, 'n': 32, 'trace_an': 20}
  • id: 20934129
    {'hecke_orbit_code': 4503737099878676, 'n': 33, 'trace_an': -8}
  • id: 20934130
    {'hecke_orbit_code': 4503737099878676, 'n': 34, 'trace_an': -6}
  • id: 20934131
    {'hecke_orbit_code': 4503737099878676, 'n': 35, 'trace_an': 8}
  • id: 20934132
    {'hecke_orbit_code': 4503737099878676, 'n': 36, 'trace_an': -36}
  • id: 20934133
    {'hecke_orbit_code': 4503737099878676, 'n': 37, 'trace_an': -4}
  • id: 20934134
    {'hecke_orbit_code': 4503737099878676, 'n': 38, 'trace_an': -22}
  • id: 20934135
    {'hecke_orbit_code': 4503737099878676, 'n': 39, 'trace_an': 24}
  • id: 20934136
    {'hecke_orbit_code': 4503737099878676, 'n': 40, 'trace_an': -4}
  • id: 20934137
    {'hecke_orbit_code': 4503737099878676, 'n': 41, 'trace_an': 0}
  • id: 20934138
    {'hecke_orbit_code': 4503737099878676, 'n': 42, 'trace_an': 26}
  • id: 20934139
    {'hecke_orbit_code': 4503737099878676, 'n': 43, 'trace_an': 0}
  • id: 20934140
    {'hecke_orbit_code': 4503737099878676, 'n': 44, 'trace_an': 56}
  • id: 20934141
    {'hecke_orbit_code': 4503737099878676, 'n': 45, 'trace_an': 0}
  • id: 20934142
    {'hecke_orbit_code': 4503737099878676, 'n': 46, 'trace_an': 0}
  • id: 20934143
    {'hecke_orbit_code': 4503737099878676, 'n': 47, 'trace_an': -8}
  • id: 20934144
    {'hecke_orbit_code': 4503737099878676, 'n': 48, 'trace_an': -22}
  • id: 20934145
    {'hecke_orbit_code': 4503737099878676, 'n': 49, 'trace_an': -14}
  • id: 20934146
    {'hecke_orbit_code': 4503737099878676, 'n': 50, 'trace_an': -20}
  • id: 20934147
    {'hecke_orbit_code': 4503737099878676, 'n': 51, 'trace_an': -16}
  • id: 20934148
    {'hecke_orbit_code': 4503737099878676, 'n': 52, 'trace_an': -19}
  • id: 20934149
    {'hecke_orbit_code': 4503737099878676, 'n': 53, 'trace_an': 0}
  • id: 20934150
    {'hecke_orbit_code': 4503737099878676, 'n': 54, 'trace_an': 22}
  • id: 20934151
    {'hecke_orbit_code': 4503737099878676, 'n': 55, 'trace_an': 0}
  • id: 20934152
    {'hecke_orbit_code': 4503737099878676, 'n': 56, 'trace_an': 18}
  • id: 20934153
    {'hecke_orbit_code': 4503737099878676, 'n': 57, 'trace_an': 12}
  • id: 20934154
    {'hecke_orbit_code': 4503737099878676, 'n': 58, 'trace_an': 3}
  • id: 20934155
    {'hecke_orbit_code': 4503737099878676, 'n': 59, 'trace_an': 72}
  • id: 20934156
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  • id: 20934157
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  • id: 20934158
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  • id: 20934159
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  • id: 20934160
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  • id: 20934161
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  • id: 20934162
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  • id: 20934163
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  • id: 20934164
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  • id: 20934165
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  • id: 20934166
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  • id: 20934167
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  • id: 20934168
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  • id: 20934169
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  • id: 20934170
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  • id: 20934171
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  • id: 20934172
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  • id: 20934173
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  • id: 20934174
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  • id: 20934175
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  • id: 20934176
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  • id: 20934177
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  • id: 20934178
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  • id: 20934179
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  • id: 20934180
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  • id: 20934181
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  • id: 20934182
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  • id: 20934183
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  • id: 20934184
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  • id: 20934185
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  • id: 20934186
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  • id: 20934187
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  • id: 20934188
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  • id: 20934189
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  • id: 20934190
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  • id: 20934191
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  • id: 20934192
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  • id: 20934193
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  • id: 20934194
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  • id: 20934195
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  • id: 20934196
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  • id: 20934197
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  • id: 20934198
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  • id: 20934199
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  • id: 20934200
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  • id: 20934201
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  • id: 20934202
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  • id: 20934203
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  • id: 20934204
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  • id: 20934205
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  • id: 20934206
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  • id: 20934207
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  • id: 20934208
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  • id: 20934209
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  • id: 20934210
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  • id: 20934211
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  • id: 20934212
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  • id: 20934213
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  • id: 20934214
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  • id: 20934215
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  • id: 20934216
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  • id: 20934217
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  • id: 20934218
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  • id: 20934219
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  • id: 20934220
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  • id: 20934221
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  • id: 20934222
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  • id: 20934223
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  • id: 20934224
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  • id: 20934225
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  • id: 20934226
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  • id: 20934227
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  • id: 20934228
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  • id: 20934229
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  • id: 20934230
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  • id: 20934231
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  • id: 20934232
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  • id: 20934233
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  • id: 20934234
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  • id: 20934235
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  • id: 20934236
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  • id: 20934237
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  • id: 20934238
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  • id: 20934239
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  • id: 20934240
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  • id: 20934241
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  • id: 20934242
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  • id: 20934243
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  • id: 20934244
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  • id: 20934245
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  • id: 20934246
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  • id: 20934247
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  • id: 20934248
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  • id: 20934249
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  • id: 20934250
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  • id: 20934251
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  • id: 20934252
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  • id: 20934253
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  • id: 20934254
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  • id: 20934255
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  • id: 20934256
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  • id: 20934257
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  • id: 20934258
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  • id: 20934259
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  • id: 20934260
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  • id: 20934261
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  • id: 20934262
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  • id: 20934263
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  • id: 20934264
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  • id: 20934265
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  • id: 20934266
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  • id: 20934267
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  • id: 20934268
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  • id: 20934269
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  • id: 20934270
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  • id: 20934271
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  • id: 20934272
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  • id: 20934273
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  • id: 20934274
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  • id: 20934275
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  • id: 20934276
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  • id: 20934277
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  • id: 20934278
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  • id: 20934279
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  • id: 20934280
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  • id: 20934281
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  • id: 20934282
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  • id: 20934283
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  • id: 20934284
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  • id: 20934285
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  • id: 20934286
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  • id: 20934287
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  • id: 20934288
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  • id: 20934289
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  • id: 20934290
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  • id: 20934291
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  • id: 20934292
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  • id: 20934293
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  • id: 20934294
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  • id: 20934295
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  • id: 20934296
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  • id: 20934297
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  • id: 20934298
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  • id: 20934299
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  • id: 20934300
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  • id: 20934301
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  • id: 20934302
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  • id: 20934303
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  • id: 20934304
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  • id: 20934305
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  • id: 20934306
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  • id: 20934307
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  • id: 20934308
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  • id: 20934309
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  • id: 20934310
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  • id: 20934311
    {'hecke_orbit_code': 4503737099878676, 'n': 719, 'trace_an': 112}
  • id: 20934312
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  • id: 20934313
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  • id: 20934314
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  • id: 20934315
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  • id: 20934316
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  • id: 20934317
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  • id: 20934318
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  • id: 20934319
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  • id: 20934320
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  • id: 20934321
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  • id: 20934322
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  • id: 20934323
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  • id: 20934324
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  • id: 20934325
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  • id: 20934326
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  • id: 20934327
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  • id: 20934328
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  • id: 20934329
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  • id: 20934330
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  • id: 20934331
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  • id: 20934332
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  • id: 20934333
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  • id: 20934334
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  • id: 20934335
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  • id: 20934336
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  • id: 20934337
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  • id: 20934338
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  • id: 20934339
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  • id: 20934340
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  • id: 20934341
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  • id: 20934342
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  • id: 20934343
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  • id: 20934344
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  • id: 20934345
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  • id: 20934346
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  • id: 20934347
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  • id: 20934348
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  • id: 20934349
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  • id: 20934350
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  • id: 20934351
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  • id: 20934352
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  • id: 20934353
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  • id: 20934354
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