Embedded newform data - 416.2.bf.a.157.18

Formats: - HTML - YAML - JSON - 2025-01-14T08:51:59.829170

• 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': 1664, 'analytic_conductor': 3.321776724085264, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 32, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 32, 'char_orbit_label': 'bf', 'char_order': 8, 'char_parity': 1, 'char_values': [416, 8, [287, 261, 353], [8, 5, 8]], 'cm_discs': [], 'conrey_index': 53, 'dim': 192, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 2130337333664, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 32, 7, 1, 8, 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': '416.2.bf.a', 'level': 416, '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, 13], 'level_radical': 26, 'minimal_twist': '416.2.bf.a', 'prim_orbit_index': 7, 'related_objects': [], 'relative_dim': 48, 'rm_discs': [], 'sato_tate_group': '1.2.3.c8', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '416.2.bf', 'trace_display': [0, 0, 0, 0], 'traces': [192, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, -16, 0, 0, 0, -40, 0, -40, 0, 0, 0, -8, -16, 24, 0, 0, 0, 0, 0, 80, -48, 0, 0, 0, -48, 80, 0, -56, 0, -64, 0, 0, -16, -80, 0, 0, 0, 0, 0, 24, 32, 0, -32, -24, 32, 16, 0, -64, 0, -56, -64, 24, 80, 72, 0, 96, 80, -32, -64, 0, 0, -120, 0, -32, 32, 64, -32, 0, 0, -56, 0, -80, -80, 112, 0, 0, -112, -88, 0, -120, 0, 144, 0, 40, 0, 136, 0, 56, 0, -24, 0, 56, 0, 0, 0, 0, -96, -64, 32, 168, 0, -56, 0, -112, -32, 64, 0, -120, 0, 168, -64, 16, 160, -104, 96, -232, 0, -56, 0, -64, 0, 0, 96, -32, 160, 72, -64, 88, -32, -208, 0, 48, 0, 64, 0, 56, -48, -80, 32, -152, -112, -80, 0, 120, -112, -80, 0, 40, 0, 104, 0, -32, 0, -120, 0, -112, -112, 176, 0, 88, -16, 96, 0, -192, 0, 200, 0, 64, 80, -72, -64, 0, 144, 64, 0, 16, 0, 104, -160, 80, 0, -112, 0, 88, 0, 64, -160, 256, 0, 32, 0, 96, 176, 80, -64, 112, 0, 0, 0, 440, 16, -80, 0, 216, 112, 120, 0, -40, -224, 104, 0, -64, -112, -112, -192, 24, -64, -256, 64, -176, -224, -88, 64, 0, 128, 184, 64, -144, 0, 384, 0, 128, -80, -120, 0, 56, 0, 72, 128, -72, 48, 80, 160, -256, 192, -232, 0, -408, 112, 0, 160, 288, -112, -184, 128, 128, -176, 128, 0, 40, 0, 224, 0, -24, -128, 48, 64, 8, 128, 64, 64, -152, -240, -208, 64, 0, 96, 200, -192, 280, 0, -128, -96, 208, -128, 216, 0, 184, 0, -80, 0, -32, 0, -304, 0, 112, 176, 288, -224, -64, -176, 0, 0, 144, -160, 104, 0, -344, 0, -24, 0, 336, 160, -144, 0, -24, 0, -256, 0, -288, 0, -200, -224, 184, 0, 56, 0, 8, 240, -104, 0, -144, -192, -376, 0, 104, -16, 440, -32, -240, -128, 184, 0, -288, -80, 192, 160, 16, 96, 104, -128, 168, -192, 120, 224, -72, 0, -312, 0, -224, -176, -200, 0, 272, 304, 24, 0, -80, 192, -128, 0, 248, 272, -112, 0, 72, 192, -64, 0, 16, 144, -40, 0, -88, 304, -328, 0, -80, 0, -88, 0, -368, 0, 160, 224, -536, 16, 120, -128, -80, 224, 0, 64, 128, 0, 0, 0, -376, 112, 208, -96, -264, 240, -280, 0, -336, 192, -256, 0, -216, 0, -280, 0, -296, 0, 128, 0, 248, 208, -72, 0, 0, -208, -280, -256, 248, 224, -384, 0, -352, 32, 72, -256, -200, 0, 48, 0, 112, -64, -104, 0, 32, 0, 256, 0, 256, -336, 0, 32, 0, 144, 152, 64, -176, 352, -208, 0, 128, -176, -160, 0, 304, -400, 136, -96, 208, 128, -184, 0, 40, -144, 448, 0, 0, 0, -96, 0, -192, 80, 168, 320, -104, -192, -456, 192, 152, 0, 32, 0, 496, -384, 216, 128, 8, -160, -40, 0, -88, -352, -64, 192, -160, -160, -200, 320, 424, 0, -560, 0, -704, 416, -8, 0, 16, 128, 240, 0, 72, 128, -192, -160, -192, 0, 120, 0, -208, 240, 192, 160, 200, -112, 688, 64, -216, 272, -576, -288, 72, 0, -280, 0, 216, 176, -368, -256, -72, 0, -296, 0, -168, 32, -136, -160, 248, -320, 280, 0, 432, -464, 264, -160, -448, 272, 240, 0, -24, 304, 544, -256, -384, 0, -80, 0, -56, 0, 144, -256, -88, 32, 720, -128, 352, 240, 472, 0, 120, 256, 112, 0, 464, 0, -72, 96, 192, 224, -112, -192, 320, 0, 120, 256, 80, 0, 0, 0, 232, -16, -72, 224, 896, -112, 328, -128, 232, 208, 488, 0, 120, -208, 472, 0, 136, -48, -80, 0, -280, 160, -112, -128, 0, -592, 528, 192, -176, 0, 640, 0, 296, 240, 32, 256, 424, 0, -80, -192, 480, 0, 272, 256, -168, -480, -512, 0, -336, 48, 0, 0, 432, 336, 184, -128, 120, 112, 416, -160, 184, 0, 184, 0, -56, -128, -344, -352, -296, -416, 152, 0, -576, 192, -664, -224, 0, -448, 296, 0, -8, -272, -384, -224, 408, 112, 288, 0, 256, 32, -200, -352, -496, 0, -368, 0, 64, -32, 160, 0, -416, 320, 176, 0, -64, 224, 136, 256, -656, 512, 40, -128, 1000, -288, 200, 160, -240, 128, -464, 128, -304, -112, 160, 352, 496, 0, -40, 0, 128, -368, 8, -32, 72, 32, -856, 320, 440, 112, 552, 0, -464, 176, -16, 0, -816, -48, 112, 0, -96, -16, 304, 320, 24, 336, 216, -64, -344, 0, -192, 0, -552, 64, 168, 352, 760, -256, -632, 128, -416, -512, -400, 160, 544, -256, -136, -128, -8, 144, 32, 256, 112, -384, -544, 0, -64, -176, -544, 224, -304, 0, 384, 0, -208, 80, -48, 0, -704, -208, 248, 0, 64, -208, -56, 0, 240, 0, 0, 0, -800, -336, 176, 0, -672, -384, -464, -64, 72, -464, -336, 0, 56, 0, -256, 0, -32, -112, -88, 0, 552, -480, 464, -192, 0, 352, -904, 160, 296, -336, -1168, 0, -424, 144, -72, 224, -536, 0, 64, -320, -24, -288, 8, 0, 184, 0, 504, 0, 960, 176, 0, 384, -608, -272, -96, 0, -224, -656, -408, 224, -104, -416, -584, 0, -24, 256, 256, 160, 200, -224, 544, 0, 80, -64, 424, 224, 0, 0, -200, 0, 176, -256, -32, -320, -336, -144, -488, -320, -96, 0, 0, 224, 48, 960, 120, 0, -432, 240, -208, 160, 408, 624, -120, -192, -160, 432, -8, -448, 848, 0, 128, 0, -1016, -112, 728, 0, -48, -240, 528, -64, 240, -176, -104, -480, -40, 0, -40, 192, -128, -432, -120, -384, 40, 144, 520, 128, -40, -288, -1120, 0, 624, 0, -8, 0, 848, 96, -128, -192, -56, 480, -576, 128, -176, 208, -192, 224, 296, 576, 472, 0, 640, 736, 320, 0, -656, -656, 488], '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], [-0.4985470972672726, -0.8668626141473496], [1.7699167022101323, 0.7331235023260994], [-0.5029015836127533, 0.8643436800253618], [0.050473355115648724, 0.12185345845867258], [-0.2468694785724622, -1.8997712133240248], [-0.6835747976044461, 0.6835747976044461], [0.9999873467097781, 0.005030548711436858], [1.8880282819129568, 1.8880282819129568], [0.08046686286013346, -0.10450315256688815], [-0.6350015699005664, 0.26302626238102156], [-1.52376457831776, 1.1611273454231348], [-0.10613728751252975, 0.25623807898624185], [0.9333596671273954, 0.2517712049058755], [0.0, 0.25267367422460646], [-0.49417999439956983, -0.8693596109408587], [0.0, 0.7967022673793044], [0.6953901125369744, -2.577932151549415], [0.6617439714748411, -1.5975912707531958], [-0.13070639692589522, -0.017653971723670555], [-1.7110152012116457, 0.7087257017683938], [0.5445858228311075, 0.4193281412565576], [0.3030456898598184, 0.3030456898598184], [1.76620629345048, 0.7420178780873097], [0.6948060754248384, -0.6948060754248384], [0.2750376475953023, -0.035740303976312615], [1.2243713815499881, 2.955893994719465], [-0.2470727079009755, -0.9346144043670619], [-1.3360844047312985, -0.5534242809148873], [0.21903336176455815, -0.12596972684053404], [0.21012282763097095, 0.0], [-0.5072433432388529, 0.8618028723205042], [-1.3167306191771855, 0.0], [0.6906314101975444, -0.39719360278820665], [-0.1177982667108858, -0.048793639695691976], [-2.581397726060298, 0.6824129003009144], [0.31815817722253253, 0.7681017864305408], [-1.7148026814170003, 0.22283338164460928], [-0.3757083157914106, 0.3757083157914106], [0.04985972670320457, 0.12210582528303708], [-0.29655895279851646, -0.29655895279851646], [1.467389476492609, 1.1298819687928372], [1.478543335485918, -0.6124327021146204], [0.09199820752985077, -0.6811359176328968], [-0.13476765387749864, 0.32535789776026025], [0.1116164298989985, -0.4137815279369397], [0.0, -1.5861071344863287], [-0.23730946323209087, -1.900989063904833], [0.0, 0.06545099216008131], [-0.9486949629349549, -0.2559078588015171], [-0.58408115657226, 1.4100966497233134], [-0.16810115418318428, -0.22060162938056063], [0.9372140407473085, -0.3882067665240257], [1.9519471971561004, -2.5350141473947767], [-0.06410131947317145, -0.06410131947317145], [-0.6870049044514033, 0.6801273918168838], [2.342463415400373, -2.342463415400373], [0.18635818279636435, 1.4341096886142235], [-0.1847754350545197, -0.4460873613020105], [-0.21839689342482577, -0.12706999090480753], [-0.3977588141603336, -0.16475709537864966], [-0.10475612578501203, -0.18214762365221643], [-2.5812171013602385, 0.0], [0.9999493871593237, 0.010060970116888073], [-0.03658060111691171, 0.0], [0.6564522280737243, 1.1414245466677932], [-0.28500463283799704, -0.11805278426066275], [-0.6886245696711776, -0.40066283193292335], [0.31419571050082534, 0.7585355455305433], [0.016430601871456663, 0.12644084085841756], [0.3704408114095478, -0.3704408114095478], [1.878506573902425, 1.8975022103838919], [0.18572698719660322, 0.18572698719660322], [0.5072218867902877, -0.658734345250233], [1.739127541144404, -0.720370214238585], [1.048075826938321, 1.3754053995668551], [0.25427294555152447, -0.6138691936950459], [0.5129957830408237, 0.1383792025268566], [0.0, -1.798052789158755], [0.0809915528890509, -0.10409703778489521], [0.0, 3.4592263841811053], [-0.10922726398539993, 0.4049244741580449], [0.11274374933822535, -0.2721874887251363], [0.24788967307977985, -1.8353244533609938], [-0.09708092664203433, 0.04021223646287815], [-1.2680185012347804, -0.9763673950186685], [-1.9590297563997825, -1.9590297563997825], [-0.6363167014667059, 0.25982852790416394], [-0.5555914289550228, 0.5555914289550228], [0.34922862043209274, -0.045381194758606136], [-0.10260511815190991, -0.24771066781123474], [-0.4143377841267818, 0.1095334694517379], [0.3718999021396762, 0.15404598331148073], [-1.3749369769185806, 0.7907491078530707], [0.22807246001255185, 0.0], [-1.5295864053536532, 1.153447281405859], [-0.5422370066057886, 0.0], [0.05673701816242577, -0.03263040215467155], [-1.6955019452926232, -0.70229990077017], [0.25113216450177056, 0.9499703157715973], [0.2636166658816452, 0.6364269300390445], [1.5135520331571826, -0.1966814733254272], [-0.7996108973669386, 0.7996108973669386], [-0.10742496266469277, 0.255700907936531], [-0.1727213557180571, -0.1727213557180571], [-0.8037672719914087, -0.6188964567877456], [-1.8007028591414476, 0.7458755460603965], [-3.1706465998723132, -0.42824610528919327], [0.019062037361614152, -0.04601982912487154], [-0.023609510614456087, 0.08752456412315952], [0.0, 1.592725417979925], [0.9320813097462296, 0.2564633304425252], [0.0, -0.11385448528163876], [-3.1984222960211337, -0.8627656236158588], [-0.021631432659851794, 0.05222289810097452], [1.1502677425610361, -0.8765181639280993], [-0.6841749406182538, 0.2833945394398876], [-0.2945771993636258, 0.38257047576630915], [-0.5446055911748112, -0.5446055911748112], [-0.0012710872262846106, 0.25267047707127505], [-0.3730626021124936, 0.3730626021124936], [0.05547973581284638, 0.4269414170983895], [-0.3074703056262318, -0.7422989818698493], [-0.10567110276880488, 0.1816183380918882], [0.24158717548871456, 0.10006868458283452], [1.2868582932997903, 2.2375606041669807], [-0.27869148348293427, 0.0], [-0.489800385526085, -0.8718346072154388], [3.065887351931313, 0.0], [0.01823715250312828, 0.03171035551128754], [-0.7727153904646706, -0.32006919458488836], [0.6621859135756077, -1.1381077889816815], [0.6397216281928688, 1.5444246309266223], [0.039752687237537034, 0.30591473398352464], [-0.2983877745593781, 0.2983877745593781], [-0.004007849564563783, 0.7966921864742947], [0.4808635113170627, 0.4808635113170627], [0.5009047464782778, -0.6505302093569287], [0.9143710015399511, -0.3787448698785179], [0.10141540897214792, -0.07727978867630249], [1.1628124174990309, -2.807277508822006], [-0.5058034814029092, -0.13643909892778272], [0.0, -0.19062847645824949], 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[-3.0193759775091573, 0.0], [1.154662555209556, -0.8707205951792386], [-1.410599885679204, 0.0], [0.046023909319486356, -0.02646911519963403], [0.10456393373708175, 0.04331179948898089], [0.6001517958743027, -0.15865487271054435], [0.7735594595767853, 1.867537738612277], [-1.0393976233923912, 0.1350665530231777], [0.05106966656628085, -0.05106966656628085], [-0.6855919135893751, 0.2799491782006083], [-0.06973003169081658, -0.06973003169081658], [-0.23628953749963802, -0.18194166723437358], [-0.7864529244810703, 0.3257594674880428], [-0.028001090502933777, 0.20731434868716433], [0.6228804288454782, -1.5037663790555231], [0.6581834815217928, -2.4400006960748133], [0.0, -0.17974182486986345], [-0.2964980114067295, 0.3810837500403716], [0.0, -0.4079407252041359], [1.0620040055695037, 0.2864726616268119], [0.4832475290418533, -1.1666627385961283], [2.0877682620065685, 2.7398091500655624], [-0.06730288505408175, 0.027877767776238137], [-1.0366293338291992, 1.3462813085774716], 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-0.13132730976687895], [-1.8808836908459505, 1.8808836908459505], [0.24108071822378582, 0.1012827344390808]], 'angles': [None, 0.01613854679384048, -0.05199664749739212, -0.45529195659397753, -0.36833344834579057, None, 0.06520872299072795, -0.2712827194344968, -0.0906288275907395, -0.31613795636185743, -0.23324804199138693, 0.005730580909827397, -0.15862417909019086, -0.1648681255526105, -0.3542450143786677, -0.22783720833927593, -0.1013066910437347, -0.22203084773129875, -0.21214699538485934, -0.3328186725124496, -0.10403781659382733, -0.3221378200114217, -0.4139697660880515, -0.4392575781115182, -0.2936967643075175, -0.006535797447549344, -0.4706410757782659, 0.40150460744527267, -0.43353571653897033, -0.4909348471771913, -0.2722499692246389, -0.2561677842205522, -0.06978276312324887, -0.23011076466502242, -0.3648070761205335, -0.03642940773534199, -0.07286483319915961, -0.23061702062211642, -0.49897953467796824, -0.3382781209470114, -0.3135504254394446, -0.34340733022713665, 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-0.3367261737922972, -0.26979354931139554, -0.3740042798889997, -0.4190670275623266, -0.20781683247419416, -0.05857896266692871, -0.23227775048984606, -0.19654370902124557, -0.09097139341079515, 0.019047951683465465, -0.2621698831404292, -0.4351776692814018, -0.22142641012449535, -0.4484521999909182, -0.05332096665328656, -0.20001860837701152, 0.12653746559213727, -0.4704076782580713, -0.4497332049366056, -0.04918412829722523, -0.36941710354101925, 0.05658348483255275, 0.03394787068014729, -0.3745938363129564, -0.13285056882126794, -0.2861886523280999, -0.32874168208665255, -0.32621549360120233, -0.3467196114672135, -0.34409881060007147, 0.086670352415494, -0.14243184520736046, -0.25125287932990925, -0.03270643123797311], 'char_orbit_index': 32, 'conrey_index': 157, 'dual_conrey_index': 53, 'dual_embedding_index': 18, 'dual_embedding_m': 18, 'embedding_index': 18, 'embedding_m': 66, 'hecke_orbit': 1, 'hecke_orbit_code': 2130337333664, 'label': '416.2.bf.a.157.18', 'level': 416, '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': 1664, 'analytic_conductor': 3.321776724085264, 'char_conductor': 32, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 32, 'char_orbit_label': 'bf', 'char_order': 8, 'char_parity': 1, 'char_values': [416, 8, [287, 261, 353], [8, 5, 8]], 'conrey_index': 53, 'cusp_dim': 216, 'dim': 192, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 2130337333664, 'hecke_orbit_dims': [192], 'label': '416.2.bf', 'level': 416, '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, 13], 'level_radical': 26, 'mf_dim': 232, 'mf_new_dim': 192, 'num_forms': 1, 'prim_orbit_index': 7, 'relative_dim': 48, 'sturm_bound': 112, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [192, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, -16, 0, 0, 0, -40, 0, -40, 0, 0, 0, -8, -16, 24, 0, 0, 0, 0, 0, 80, -48, 0, 0, 0, -48, 80, 0, -56, 0, -64, 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-24, -128, 48, 64, 8, 128, 64, 64, -152, -240, -208, 64, 0, 96, 200, -192, 280, 0, -128, -96, 208, -128, 216, 0, 184, 0, -80, 0, -32, 0, -304, 0, 112, 176, 288, -224, -64, -176, 0, 0, 144, -160, 104, 0, -344, 0, -24, 0, 336, 160, -144, 0, -24, 0, -256, 0, -288, 0, -200, -224, 184, 0, 56, 0, 8, 240, -104, 0, -144, -192, -376, 0, 104, -16, 440, -32, -240, -128, 184, 0, -288, -80, 192, 160, 16, 96, 104, -128, 168, -192, 120, 224, -72, 0, -312, 0, -224, -176, -200, 0, 272, 304, 24, 0, -80, 192, -128, 0, 248, 272, -112, 0, 72, 192, -64, 0, 16, 144, -40, 0, -88, 304, -328, 0, -80, 0, -88, 0, -368, 0, 160, 224, -536, 16, 120, -128, -80, 224, 0, 64, 128, 0, 0, 0, -376, 112, 208, -96, -264, 240, -280, 0, -336, 192, -256, 0, -216, 0, -280, 0, -296, 0, 128, 0, 248, 208, -72, 0, 0, -208, -280, -256, 248, 224, -384, 0, -352, 32, 72, -256, -200, 0, 48, 0, 112, -64, -104, 0, 32, 0, 256, 0, 256, -336, 0, 32, 0, 144, 152, 64, -176, 352, -208, 0, 128, -176, -160, 0, 304, -400, 136, -96, 208, 128, -184, 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200, -224, 544, 0, 80, -64, 424, 224, 0, 0, -200, 0, 176, -256, -32, -320, -336, -144, -488, -320, -96, 0, 0, 224, 48, 960, 120, 0, -432, 240, -208, 160, 408, 624, -120, -192, -160, 432, -8, -448, 848, 0, 128, 0, -1016, -112, 728, 0, -48, -240, 528, -64, 240, -176, -104, -480, -40, 0, -40, 192, -128, -432, -120, -384, 40, 144, 520, 128, -40, -288, -1120, 0, 624, 0, -8, 0, 848, 96, -128, -192, -56, 480, -576, 128, -176, 208, -192, 224, 296, 576, 472, 0, 640, 736, 320, 0, -656, -656, 488], '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: 23112467
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 157, 'source_dim': 192, 'source_embedding_index': 18, 'source_hecke_orbit_code': 2130337333664, 'source_is_minimal': True, 'source_label': '416.2.bf.a.157.18', 'source_level': 416, 'target_conrey_index': 157, 'target_dim': 192, 'target_embedding_index': 18, 'target_hecke_orbit_code': 2130337333664, 'target_is_minimal': True, 'target_label': '416.2.bf.a.157.18', 'target_level': 416, 'twist_class_label': '416.2.bf.a.53.18', 'twist_class_level': 416, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 23112468
    {'conductor': 32, 'degree': 4, 'order': 8, 'parity': 1, 'source_conrey_index': 157, 'source_dim': 192, 'source_embedding_index': 18, 'source_hecke_orbit_code': 2130337333664, 'source_is_minimal': True, 'source_label': '416.2.bf.a.157.18', 'source_level': 416, 'target_conrey_index': 53, 'target_dim': 192, 'target_embedding_index': 18, 'target_hecke_orbit_code': 2130337333664, 'target_is_minimal': True, 'target_label': '416.2.bf.a.53.18', 'target_level': 416, 'twist_class_label': '416.2.bf.a.53.18', 'twist_class_level': 416, 'twisting_char_label': '32.21', 'twisting_conrey_index': 21, 'weight': 2}
• hecke_orbit_code 2130337333664 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': 32, 'hecke_orbit': 1, 'label': '416.2.bf.a', 'level': 416, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 14107248
    {'hecke_orbit_code': 2130337333664, 'n': 1, 'trace_an': 192}
  • id: 14107249
    {'hecke_orbit_code': 2130337333664, 'n': 2, 'trace_an': 0}
  • id: 14107250
    {'hecke_orbit_code': 2130337333664, 'n': 3, 'trace_an': 0}
  • id: 14107251
    {'hecke_orbit_code': 2130337333664, 'n': 4, 'trace_an': 0}
  • id: 14107252
    {'hecke_orbit_code': 2130337333664, 'n': 5, 'trace_an': 0}
  • id: 14107253
    {'hecke_orbit_code': 2130337333664, 'n': 6, 'trace_an': 0}
  • id: 14107254
    {'hecke_orbit_code': 2130337333664, 'n': 7, 'trace_an': 0}
  • id: 14107255
    {'hecke_orbit_code': 2130337333664, 'n': 8, 'trace_an': 0}
  • id: 14107256
    {'hecke_orbit_code': 2130337333664, 'n': 9, 'trace_an': 0}
  • id: 14107257
    {'hecke_orbit_code': 2130337333664, 'n': 10, 'trace_an': -16}
  • id: 14107258
    {'hecke_orbit_code': 2130337333664, 'n': 11, 'trace_an': 0}
  • id: 14107259
    {'hecke_orbit_code': 2130337333664, 'n': 12, 'trace_an': -16}
  • id: 14107260
    {'hecke_orbit_code': 2130337333664, 'n': 13, 'trace_an': 0}
  • id: 14107261
    {'hecke_orbit_code': 2130337333664, 'n': 14, 'trace_an': 0}
  • id: 14107262
    {'hecke_orbit_code': 2130337333664, 'n': 15, 'trace_an': 0}
  • id: 14107263
    {'hecke_orbit_code': 2130337333664, 'n': 16, 'trace_an': -40}
  • id: 14107264
    {'hecke_orbit_code': 2130337333664, 'n': 17, 'trace_an': 0}
  • id: 14107265
    {'hecke_orbit_code': 2130337333664, 'n': 18, 'trace_an': -40}
  • id: 14107266
    {'hecke_orbit_code': 2130337333664, 'n': 19, 'trace_an': 0}
  • id: 14107267
    {'hecke_orbit_code': 2130337333664, 'n': 20, 'trace_an': 0}
  • id: 14107268
    {'hecke_orbit_code': 2130337333664, 'n': 21, 'trace_an': 0}
  • id: 14107269
    {'hecke_orbit_code': 2130337333664, 'n': 22, 'trace_an': -8}
  • id: 14107270
    {'hecke_orbit_code': 2130337333664, 'n': 23, 'trace_an': -16}
  • id: 14107271
    {'hecke_orbit_code': 2130337333664, 'n': 24, 'trace_an': 24}
  • id: 14107272
    {'hecke_orbit_code': 2130337333664, 'n': 25, 'trace_an': 0}
  • id: 14107273
    {'hecke_orbit_code': 2130337333664, 'n': 26, 'trace_an': 0}
  • id: 14107274
    {'hecke_orbit_code': 2130337333664, 'n': 27, 'trace_an': 0}
  • id: 14107275
    {'hecke_orbit_code': 2130337333664, 'n': 28, 'trace_an': 0}
  • id: 14107276
    {'hecke_orbit_code': 2130337333664, 'n': 29, 'trace_an': 0}
  • id: 14107277
    {'hecke_orbit_code': 2130337333664, 'n': 30, 'trace_an': 80}
  • id: 14107278
    {'hecke_orbit_code': 2130337333664, 'n': 31, 'trace_an': -48}
  • id: 14107279
    {'hecke_orbit_code': 2130337333664, 'n': 32, 'trace_an': 0}
  • id: 14107280
    {'hecke_orbit_code': 2130337333664, 'n': 33, 'trace_an': 0}
  • id: 14107281
    {'hecke_orbit_code': 2130337333664, 'n': 34, 'trace_an': 0}
  • id: 14107282
    {'hecke_orbit_code': 2130337333664, 'n': 35, 'trace_an': -48}
  • id: 14107283
    {'hecke_orbit_code': 2130337333664, 'n': 36, 'trace_an': 80}
  • id: 14107284
    {'hecke_orbit_code': 2130337333664, 'n': 37, 'trace_an': 0}
  • id: 14107285
    {'hecke_orbit_code': 2130337333664, 'n': 38, 'trace_an': -56}
  • id: 14107286
    {'hecke_orbit_code': 2130337333664, 'n': 39, 'trace_an': 0}
  • id: 14107287
    {'hecke_orbit_code': 2130337333664, 'n': 40, 'trace_an': -64}
  • id: 14107288
    {'hecke_orbit_code': 2130337333664, 'n': 41, 'trace_an': 0}
  • id: 14107289
    {'hecke_orbit_code': 2130337333664, 'n': 42, 'trace_an': 0}
  • id: 14107290
    {'hecke_orbit_code': 2130337333664, 'n': 43, 'trace_an': -16}
  • id: 14107291
    {'hecke_orbit_code': 2130337333664, 'n': 44, 'trace_an': -80}
  • id: 14107292
    {'hecke_orbit_code': 2130337333664, 'n': 45, 'trace_an': 0}
  • id: 14107293
    {'hecke_orbit_code': 2130337333664, 'n': 46, 'trace_an': 0}
  • id: 14107294
    {'hecke_orbit_code': 2130337333664, 'n': 47, 'trace_an': 0}
  • id: 14107295
    {'hecke_orbit_code': 2130337333664, 'n': 48, 'trace_an': 0}
  • id: 14107296
    {'hecke_orbit_code': 2130337333664, 'n': 49, 'trace_an': 0}
  • id: 14107297
    {'hecke_orbit_code': 2130337333664, 'n': 50, 'trace_an': 24}
  • id: 14107298
    {'hecke_orbit_code': 2130337333664, 'n': 51, 'trace_an': 32}
  • id: 14107299
    {'hecke_orbit_code': 2130337333664, 'n': 52, 'trace_an': 0}
  • id: 14107300
    {'hecke_orbit_code': 2130337333664, 'n': 53, 'trace_an': -32}
  • id: 14107301
    {'hecke_orbit_code': 2130337333664, 'n': 54, 'trace_an': -24}
  • id: 14107302
    {'hecke_orbit_code': 2130337333664, 'n': 55, 'trace_an': 32}
  • id: 14107303
    {'hecke_orbit_code': 2130337333664, 'n': 56, 'trace_an': 16}
  • id: 14107304
    {'hecke_orbit_code': 2130337333664, 'n': 57, 'trace_an': 0}
  • id: 14107305
    {'hecke_orbit_code': 2130337333664, 'n': 58, 'trace_an': -64}
  • id: 14107306
    {'hecke_orbit_code': 2130337333664, 'n': 59, 'trace_an': 0}
  • id: 14107307
    {'hecke_orbit_code': 2130337333664, 'n': 60, 'trace_an': -56}
  • id: 14107308
    {'hecke_orbit_code': 2130337333664, 'n': 61, 'trace_an': -64}
  • id: 14107309
    {'hecke_orbit_code': 2130337333664, 'n': 62, 'trace_an': 24}
  • id: 14107310
    {'hecke_orbit_code': 2130337333664, 'n': 63, 'trace_an': 80}
  • id: 14107311
    {'hecke_orbit_code': 2130337333664, 'n': 64, 'trace_an': 72}
  • id: 14107312
    {'hecke_orbit_code': 2130337333664, 'n': 65, 'trace_an': 0}
  • id: 14107313
    {'hecke_orbit_code': 2130337333664, 'n': 66, 'trace_an': 96}
  • id: 14107314
    {'hecke_orbit_code': 2130337333664, 'n': 67, 'trace_an': 80}
  • id: 14107315
    {'hecke_orbit_code': 2130337333664, 'n': 68, 'trace_an': -32}
  • id: 14107316
    {'hecke_orbit_code': 2130337333664, 'n': 69, 'trace_an': -64}
  • id: 14107317
    {'hecke_orbit_code': 2130337333664, 'n': 70, 'trace_an': 0}
  • id: 14107318
    {'hecke_orbit_code': 2130337333664, 'n': 71, 'trace_an': 0}
  • id: 14107319
    {'hecke_orbit_code': 2130337333664, 'n': 72, 'trace_an': -120}
  • id: 14107320
    {'hecke_orbit_code': 2130337333664, 'n': 73, 'trace_an': 0}
  • id: 14107321
    {'hecke_orbit_code': 2130337333664, 'n': 74, 'trace_an': -32}
  • id: 14107322
    {'hecke_orbit_code': 2130337333664, 'n': 75, 'trace_an': 32}
  • id: 14107323
    {'hecke_orbit_code': 2130337333664, 'n': 76, 'trace_an': 64}
  • id: 14107324
    {'hecke_orbit_code': 2130337333664, 'n': 77, 'trace_an': -32}
  • id: 14107325
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  • id: 14107326
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  • id: 14107327
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  • id: 14107328
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  • id: 14107329
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  • id: 14107330
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  • id: 14107331
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  • id: 14107332
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  • id: 14107333
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  • id: 14107334
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  • id: 14107335
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  • id: 14107336
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  • id: 14107337
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  • id: 14107338
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  • id: 14107339
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  • id: 14107340
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  • id: 14107341
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  • id: 14107342
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  • id: 14107343
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  • id: 14107344
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  • id: 14107345
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  • id: 14107346
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  • id: 14107347
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  • id: 14107348
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  • id: 14107349
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  • id: 14107350
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  • id: 14107351
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  • id: 14107352
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  • id: 14107353
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  • id: 14107354
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  • id: 14107355
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  • id: 14107356
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  • id: 14107357
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  • id: 14107358
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  • id: 14107359
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  • id: 14107360
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  • id: 14107361
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  • id: 14107362
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  • id: 14107363
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  • id: 14107364
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  • id: 14107365
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  • id: 14107366
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  • id: 14107367
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  • id: 14107368
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  • id: 14107369
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  • id: 14107370
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  • id: 14107371
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  • id: 14107372
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  • id: 14107373
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  • id: 14107374
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  • id: 14107375
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  • id: 14107376
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  • id: 14107377
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  • id: 14107378
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  • id: 14107379
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  • id: 14107380
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  • id: 14107381
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  • id: 14107382
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  • id: 14107383
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  • id: 14107384
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  • id: 14107385
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  • id: 14107386
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  • id: 14107387
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  • id: 14107388
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  • id: 14107389
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  • id: 14107390
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  • id: 14107391
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  • id: 14107392
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  • id: 14107393
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  • id: 14107394
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  • id: 14107395
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  • id: 14107396
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  • id: 14107397
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  • id: 14107398
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  • id: 14107399
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  • id: 14107400
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  • id: 14107401
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  • id: 14107402
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  • id: 14107403
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  • id: 14107404
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  • id: 14107405
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  • id: 14107406
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  • id: 14107407
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  • id: 14107408
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  • id: 14107409
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  • id: 14107410
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  • id: 14107411
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  • id: 14107412
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  • id: 14107413
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  • id: 14107414
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  • id: 14107415
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  • id: 14107416
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  • id: 14107417
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  • id: 14107418
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  • id: 14107419
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  • id: 14107420
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  • id: 14107421
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  • id: 14107422
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  • id: 14107423
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  • id: 14107424
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  • id: 14107425
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  • id: 14107426
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  • id: 14107427
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  • id: 14107428
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  • id: 14107429
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  • id: 14107430
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  • id: 14107431
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  • id: 14107432
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  • id: 14107433
    {'hecke_orbit_code': 2130337333664, 'n': 541, 'trace_an': -160}
  • id: 14107434
    {'hecke_orbit_code': 2130337333664, 'n': 547, 'trace_an': 240}
  • id: 14107435
    {'hecke_orbit_code': 2130337333664, 'n': 557, 'trace_an': -288}
  • id: 14107436
    {'hecke_orbit_code': 2130337333664, 'n': 563, 'trace_an': 176}
  • id: 14107437
    {'hecke_orbit_code': 2130337333664, 'n': 569, 'trace_an': 0}
  • id: 14107438
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  • id: 14107439
    {'hecke_orbit_code': 2130337333664, 'n': 577, 'trace_an': 0}
  • id: 14107440
    {'hecke_orbit_code': 2130337333664, 'n': 587, 'trace_an': 304}
  • id: 14107441
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  • id: 14107442
    {'hecke_orbit_code': 2130337333664, 'n': 599, 'trace_an': 32}
  • id: 14107443
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  • id: 14107444
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  • id: 14107445
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  • id: 14107446
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  • id: 14107447
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  • id: 14107448
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  • id: 14107449
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  • id: 14107450
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  • id: 14107451
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  • id: 14107452
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  • id: 14107453
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  • id: 14107454
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  • id: 14107455
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  • id: 14107456
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  • id: 14107457
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  • id: 14107458
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  • id: 14107459
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  • id: 14107460
    {'hecke_orbit_code': 2130337333664, 'n': 701, 'trace_an': -224}
  • id: 14107461
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  • id: 14107462
    {'hecke_orbit_code': 2130337333664, 'n': 719, 'trace_an': 0}
  • id: 14107463
    {'hecke_orbit_code': 2130337333664, 'n': 727, 'trace_an': 320}
  • id: 14107464
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  • id: 14107465
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  • id: 14107466
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  • id: 14107467
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  • id: 14107468
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  • id: 14107469
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  • id: 14107470
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  • id: 14107471
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  • id: 14107472
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  • id: 14107473
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  • id: 14107474
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  • id: 14107475
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  • id: 14107476
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  • id: 14107477
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  • id: 14107478
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  • id: 14107479
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  • id: 14107480
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  • id: 14107481
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  • id: 14107482
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  • id: 14107483
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  • id: 14107484
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  • id: 14107485
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  • id: 14107486
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  • id: 14107487
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  • id: 14107488
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  • id: 14107489
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  • id: 14107490
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  • id: 14107491
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  • id: 14107492
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  • id: 14107493
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  • id: 14107494
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  • id: 14107495
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  • id: 14107496
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  • id: 14107497
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  • id: 14107499
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  • id: 14107500
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  • id: 14107501
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  • id: 14107502
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  • id: 14107503
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  • id: 14107504
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