Embedded newform data - 990.2.ba.i.289.4

Formats: - HTML - YAML - JSON - 2025-10-24T12:05:49.580927

• 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': 3960, 'analytic_conductor': 7.905189800106758, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 55, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 27, 'char_orbit_label': 'ba', 'char_order': 10, 'char_parity': 1, 'char_values': [990, 10, [551, 397, 541], [10, 5, 8]], 'cm_discs': [], 'conrey_index': 289, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [779563031470336, 0, -500216309777216, 0, 248660767428752, 0, -116186321362068, 0, 48106990189481, 0, -10113985736634, 0, 1515775593807, 0, -189728583879, 0, 21273352127, 0, -1907855115, 0, 142149313, 0, -9308862, 0, 552757, 0, -25754, 0, 1014, 0, -35, 0, 1]], [13, [2663577236340736, 0, -10643164519497728, 0, 16135771759267840, 0, 1236849139687424, 0, 1614755031062016, 0, -31672544971648, 0, 37729980632768, 0, -5171382096064, 0, 552533328273, 0, -56576815939, 0, 5491906568, 0, -305037833, 0, 10462051, 0, -243581, 0, 5800, 0, -103, 0, 1]], [29, [118810000, 595140000, 801387000, -2874560750, 3439143425, -1403975800, 704228420, 13471325, 29334371, -24102, 408881, -2516, 7399, 177, 109, 1, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36030583758914526, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0], [1, 1, 11, 3, 1, 5, 0], [1, 1, 55, 10, 1, 10, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '990.2.ba.i', 'level': 990, '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, 5, 11], 'level_radical': 330, 'minimal_twist': '330.2.s.c', 'prim_orbit_index': 10, 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c10', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '990.2.ba', 'trace_display': [0, 0, 2, 0], 'traces': 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-10, 56, 0, 0, 8, 0, -160, 0, 0, -202, -68, 0, 0, 0, 0, -12, 0, 0, 0, 8, 0, -316, 0, 0, 20, 16, 0, 0, 0, 0, 50, -116, 0, 0, -4, 0, 28, 0, 0, 158, 8, 0, 0, 0, 0, -144, 20, 0, 0, -8, 0, 156, 0, 0, 166, -76, 0, 0, 0, 0, -40, 222, 0, 0, -56, 0, -32, 0, 0, 36, 36, 0, 0, 0, 0, 76, 78, 0, 0, 24, 0, -128, 0, 0, -88, -128, 0, 0, 0, 0, 12, -12, 0, 0, 118, 0, -22, 0, 0, -80, 120, 0, 0, 0, 0, 220, -152, 0, 0, -20, 0, 272, 0, 0, -52, 188, 0, 0, 0, 0, 4, -38, 0, 0, 128, 0, 288, 0, 0, 10, 134, 0, 0, 0, 0, -88, 2, 0, 0, 128, 0, 196, 0, 0, 36, 68, 0, 0, 0, 0, -132, 124, 0, 0, -64, 0, 16, 0, 0, -28, -26, 0, 0, 0, 0, 44, -212, 0, 0, -194, 0, -292, 0, 0, 8, -408, 0, 0, 0, 0, 36, -404, 0, 0, 8, 0, -218, 0, 0, -72, 18, 0, 0, 0, 0, 190, 28, 0, 0, -136, 0, 192, 0, 0, 8, 88, 0, 0, 0, 0, 34, -170, 0, 0, 100, 0, 76, 0, 0, 302, -62, 0, 0, 0, 0, -144, 34, 0, 0, -174, 0, 108, 0, 0, 68, -22, 0, 0, 0, 0, -46, 326, 0, 0, -162, 0, 4, 0, 0, 56, -32, 0, 0, 0, 0, -2, -90, 0, 0, -152, 0, -244, 0, 0, 2, 88, 0, 0, 0, 0, 222, -320, 0, 0, -58, 0, -24, 0, 0, 66, 36, 0, 0, 0, 0, 168, 168, 0, 0, 190, 0, -116, 0, 0, 158, 152, 0, 0, 0, 0, 106, 420, 0, 0, 104, 0, 86, 0, 0, -320, 4, 0, 0, 0, 0, -480, 78, 0, 0, 288, 0, 144, 0, 0, 184, -198, 0, 0, 0, 0, -156, -14, 0, 0, -16, 0, -54, 0, 0, -256, -138, 0, 0, 0, 0, 120, 56, 0, 0, -24, 0, -474, 0, 0, -108, -36, 0, 0, 0, 0, 6, 60, 0, 0, -22, 0, 60, 0, 0, 234, -16, 0, 0, 0, 0, -18, 34, 0, 0, -188, 0, 432, 0, 0, 8, -50, 0, 0, 0, 0, -36, 368, 0, 0, -84, 0, 18, 0, 0, -192, -58, 0, 0, 0, 0, -52, 178, 0, 0, 26, 0, -24, 0, 0, 64, -56, 0, 0, 0, 0, -146, -152, 0, 0, 0, 0, -134, 0, 0, 84, 172, 0, 0, 0, 0, -88, -176, 0, 0, 272, 0, 386, 0, 0, -108, 468, 0, 0, 0, 0, 80, -20, 0, 0, 44, 0, 32, 0, 0, 196, 120, 0, 0, 0, 0, -42, -38, 0, 0, 368, 0, 40, 0, 0, -150, 204, 0, 0, 0, 0, -20, 160, 0, 0, 88, 0, 112, 0, 0, -80, -52, 0, 0, 0, 0, 80, -52, 0, 0, 70, 0, -464, 0, 0, 44, -306, 0, 0, 0, 0, 74, -360, 0, 0, -282, 0, -52, 0, 0, -26, -16, 0, 0, 0, 0, 304, -92, 0, 0, 78, 0, 6, 0, 0, 14, 48, 0, 0, 0, 0, 0, 8, 0, 0, -140, 0, -8, 0, 0, -24, -8, 0, 0, 0, 0, -84, -60, 0, 0, -228, 0, -202, 0, 0, -208, -64, 0, 0, 0, 0, 16, 112, 0, 0, 32, 0, -108, 0, 0, 220, -88, 0, 0, 0, 0, 140, -188, 0, 0, -648, 0, -374, 0, 0, 110, 44, 0, 0, 0, 0, 68, -700, 0, 0, 134, 0, -72, 0, 0, -130, -148, 0, 0, 0, 0, 226, 0, 0, 0, 104, 0, 152, 0, 0, 0, 300, 0, 0, 0, 0, -78, 36, 0, 0, 120, 0, 44, 0, 0, -190, -48, 0, 0, 0, 0, -184, 402, 0, 0, 204, 0, 310, 0, 0, -408, -144, 0, 0, 0, 0, 30, -112, 0, 0, -16, 0, -176, 0, 0, -160, -100, 0, 0, 0, 0, 56, 232, 0, 0, -232, 0, -180, 0, 0, 78, -188, 0, 0, 0, 0, -134, 34, 0, 0, 52, 0, -8, 0, 0, 422, -80, 0, 0, 0, 0, 22, 82, 0, 0, 36, 0, 172, 0, 0, 152, -38, 0, 0, 0, 0, -164], '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], [-0.4156269377774534, -0.5720614028176843], [0.0, 0.0], [-0.15450849718747373, 0.47552825814757677], [0.6189006944795951, 0.7854692421557161], [0.0, 0.0], [-1.3197736276259433, -0.42882044618442233], [0.3362492559819787, -0.10925400611220527], [0.0, 0.0], [0.19210483610284898, -0.6805113753243934], [-0.4823397184518274, 0.8759842441527198], [0.0, 0.0], [-0.36412735017811576, -0.5011783015342345], [0.303221845408446, 0.9332208817254739], [0.0, 0.0], [-0.20225424859373686, -0.14694631307311828], [0.6003142058834133, -0.8262616195799399], [0.0, 0.0], [-0.5669302724635338, -1.7448319662872986], [-0.46913823676313093, 0.17294309701974384], [0.0, 0.0], [0.7015901557047658, -0.08815471296625281], [0.0, -0.007629175908533002], [0.0, 0.0], [-0.23392386074535, 0.9722549189250678], [-0.13536362672190985, 0.4166064054943581], [0.0, 0.0], [0.40783247966429004, -0.5613332515908563], [0.5297795018183967, -1.6304936510793866], [0.0, 0.0], [0.534616864121407, -0.38842188797306554], [0.0, 0.1767766952966369], [0.0, 0.0], [-0.722179136286939, 0.0], [-0.47998354380819647, -1.3020388630590387], [0.0, 0.0], [0.1355791570301355, 0.044052338517745135], [-0.7625195292380946, 1.049518094049504], [0.0, 0.0], [0.29392055942892353, 0.1964960680140664], [0.2982166240569828, 0.9178163943721577], [0.0, 0.0], [0.0, -1.4642827319490659], [-0.34202967675484347, -0.3647131752747319], [0.0, 0.0], [-0.00436435707257827, 0.0031708910206290925], [0.9490885040452097, -0.308377548432513], [0.0, 0.0], [0.7488984587361874, 0.544106579429508], [0.6534145707313375, -0.27027652276137865], [0.0, 0.0], [0.2945852144108132, -0.095716538381067], [-0.09289866837300187, -0.12786404758444697], [0.0, 0.0], [-0.986579067119913, 0.1632842439453431], [-0.49062325200233187, 0.0], [0.0, 0.0], [-1.152933117359847, 0.3746106782694192], [0.43384777193408053, -1.3352461453216835], [0.0, 0.0], [-0.15556194918898716, -0.11302237182520825], [-0.44440234023793057, -0.14439507339530108], [0.0, 0.0], [0.10112712429686843, -0.07347315653655914], [0.1683014707867336, -0.5961904326702152], [0.0, 0.0], [0.0, -0.35266706627498823], [0.30015710294170667, 0.41313080978996997], [0.0, 0.0], [-0.5453520880281255, 0.8157424849207856], [-0.567644216180931, -0.41241766383171513], [0.0, 0.0], [1.13615393536817, 0.3691587915536469], [-0.03114970729302293, -0.0958689413235646], [0.0, 0.0], [0.9173124500972362, 0.0], [1.0122191943973375, -0.9492637703696237], [0.0, 0.0], [-0.7177967457110372, 0.5215098622229182], [-0.009753485748993576, -0.24980966657786519], [0.0, 0.0], [0.40110047184247166, -0.552067437736435], [-0.9892562060517957, 1.3615943567235975], [0.0, 0.0], [1.020537967081021, -0.039845545829304545], [-0.8376596337604938, 0.6085953479203939], [0.0, 0.0], [-0.06648158349512726, 0.3472465968961833], [-0.4925322036146223, 0.0], [0.0, 0.0], [0.2656501709805326, 0.8175871578745765], [0.0036278887308861547, 0.0011787725044063134], [0.0, 0.0], [-0.5708776415698765, -0.41476688488791635], [1.0196383028995655, -1.525184007152472], [0.0, 0.0], [-0.8841510334826335, -1.2169294974514], [0.0, -0.6545612543054762], [0.0, 0.0], [-0.4261914638917951, -0.2614590524456339], [-0.0649410977507336, 0.047182469331261245], [0.0, 0.0], [-1.0663444123371264, -0.34647630253623607], [-0.17719328779920673, -0.12873845926321714], [0.0, 0.0], [-0.03453489737163195, 0.10628748509870858], [-1.767044406987903, 0.5741475319485656], [0.0, 0.0], [-0.17699345908367733, 0.0], [0.503457450191784, 0.49651847482887007], [0.0, 0.0], [0.20391623983214502, 0.28066662579542817], [-0.8023847367574231, 0.2607106049291424], [0.0, 0.0], [0.005992483019148063, -0.004721702268098069], [0.6934903711517746, 0.5038502474039863], [0.0, 0.0], [-0.9441616039101607, 0.30677670153726305], [-1.146596733587473, 0.833051289423332], [0.0, 0.0], [-0.5346967920076238, -0.8450439873857194], [0.0, 0.13596612918016135], [0.0, 0.0], [0.10210273556774664, 0.314239908357412], [-0.9084519742208854, 0.41798924691213746], [0.0, 0.0], [-0.3448090611347113, 0.4745889577604563], [-0.08406231399549467, -0.02731350152805132], [0.0, 0.0], [-0.4110081601863371, 0.15151402838839825], [-0.005418970725591772, 0.0], [0.0, 0.0], [0.0, 2.5458945061379645], [-0.201747216660867, 0.1465779328108316], [0.0, 0.0], [0.1115828130478427, -0.34341658674904957], [-0.046870100951226304, 0.06451115955992665], [0.0, 0.0], [0.1665541904743943, -0.5126010900705947], [0.6933178086194383, -0.027069670515673827], [0.0, 0.0], [0.0, 0.49613923731351517], [0.6146573792207326, -0.07723162076492177], [0.0, 0.0], [1.608583514049492, -0.592988149194674], [-0.2610346848422149, -0.8033821521706155], [0.0, 0.0], [-0.0418962636053415, 0.05766525976168647], [0.7801248896674798, 0.5667939094989141], [0.0, 0.0], [-0.6063837598484432, -1.866257314895986], [-0.3812597646190473, -0.524759047024752], [0.0, 0.0], [-0.9637427282485774, -0.18451193828412077], [0.6359681944681383, 0.17953052688750126], [0.0, 0.0], [1.032016876247959, 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-0.19878810472151476, -0.09133023929364883, -0.21382721077465364, -0.10319634062487167, -0.4522625156282291, -0.36241860629682227, -0.37058782458379397, -0.18996903662569942, 0.06143864556015132, -0.1046563088440704, 0.11324949946866388, -0.1653948148723901, -0.14255194842795127, -0.35207506198237215, -0.08713499945808721, -0.46747679849266177, -0.45877244362410696, 0.2610094088458542, -0.1296760832704514, -0.25860823400553035, -0.15899492051112932, -0.30821748136935945, -0.4774658077472717, -0.37761831778405147, -0.42461213191801134, -0.18749974648271658, 0.06859336704163563, -0.037719483341104025, 0.07771879696556748, -0.45911748901572813, -0.4223191046626471, -0.0873662228206161, -0.36261377123343086, -0.24952454664765072, -0.04170021940975802, -0.22068674614085437, -0.31031687572189176, -0.2867908878678278, -0.24582773692983972, -0.46726005453914105, -0.2808880727177087, -0.3050048002805896, -0.39411107970598835, -0.4212998553028772, -0.1949036875882795, -0.3215471570836864, 0.16210082103232887, -0.41453629711349343, -0.3798453286666991, 0.02254537462610652, -0.48804404585571626, -0.3309017134224783, -0.376274525808976, -0.24185685608008725, -0.17792590229620556, -0.16752612043745801, -0.08695205026549326, -0.35804043443825384, -0.31578786297415734, -0.30227844173704826, -0.35453151654822945, 0.02659998817422146, -0.30493523405587153, -0.014215249344189553, -0.20669831519510617, 0.05083135894190996, 0.018723820245294016, -0.3802489836909254, -0.03617422046075483, -0.4596316512163151, -0.46488623995607686, -0.22825469627474845, -0.2600834345760992, -0.14025472862959548, -0.10237165133363466, 0.2262700314822663, -0.42837117239524786, -0.3448922075229053, 0.08806723056644512, -0.18457586381693608, 0.20555058637658652, -0.4246869705690932, -0.12205732418996472, -0.2580953544084524, -0.27098407318261364, 0.16277034049155267, -0.11965365185365247, -0.4231680266656898, -0.31239126368655434, -0.16390739762236656, -0.4660090783581171, -0.38224086913658517, -0.22729563337367648, -0.4744729934823064, -0.44934552650832366, 0.015271047262737206, -0.038506814775186, 0.10173361755519553, -0.08987483233182521, 0.21307605097268784, 0.030134292938812108, -0.31871024898187816, -0.41844057271612944, -0.25781377833011887, -0.36426256211268976, -0.15649927164726185, -0.17911472801995984, -0.4154940545407565, -0.3351424466626511, -0.1163003804531698, -0.19775878031953142, -0.029240823507434222, -0.11882450185802865, 0.10400908542387813, -0.19000794905082463, 0.0013206016330252343, 0.0984900910886774, -0.16265949019712592, -0.09995002891599529, -0.22967279236853796, -0.08234253402766342], 'char_orbit_index': 27, 'conrey_index': 289, 'dual_conrey_index': 829, 'dual_embedding_index': 4, 'dual_embedding_m': 28, 'embedding_index': 4, 'embedding_m': 4, 'hecke_orbit': 9, 'hecke_orbit_code': 36030583758914526, 'label': '990.2.ba.i.289.4', 'level': 990, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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': 3960, 'analytic_conductor': 7.905189800106758, 'char_conductor': 55, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 27, 'char_orbit_label': 'ba', 'char_order': 10, 'char_parity': 1, 'char_values': [990, 10, [551, 397, 541], [10, 5, 8]], 'conrey_index': 289, 'cusp_dim': 800, 'dim': 120, 'eis_dim': 128, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 13, 29], 'hecke_orbit_code': 1786739950558, 'hecke_orbit_dims': [8, 8, 8, 8, 8, 16, 16, 16, 32], 'label': '990.2.ba', 'level': 990, '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, 5, 11], 'level_radical': 330, 'mf_dim': 928, 'mf_new_dim': 120, 'num_forms': 9, 'prim_orbit_index': 10, 'relative_dim': 30, 'sturm_bound': 432, 'trace_bound': 7, 'trace_display': [0, 0, -6, 0], 'traces': [120, 0, 0, 30, -6, 0, 0, 0, 0, 4, 6, 0, 0, -6, 0, -30, 0, 0, 16, 6, 0, 0, 0, 0, -14, -4, 0, 0, 4, 0, 32, 0, 0, -8, 8, 0, 0, 0, 0, 6, 14, 0, 0, 14, 0, -24, 0, 0, 28, 28, 0, 0, 0, 0, -36, -4, 0, 0, 80, 0, -56, 0, 0, 30, 20, 0, 0, 0, 0, 36, -4, 0, 0, 8, 0, -36, 0, 0, 4, 4, 0, 0, 0, 0, 42, -80, 0, 0, 132, 0, 2, 0, 0, -22, 110, 0, 0, 0, 0, -16, -40, 0, 0, -6, 0, 26, 0, 0, -88, 46, 0, 0, 0, 0, 0, -24, 0, 0, -76, 0, 50, 0, 0, 8, -60, 0, 0, 0, 0, -52, 40, 0, 0, -8, 0, 8, 0, 0, 30, 2, 0, 0, 0, 0, -20, 12, 0, 0, -92, 0, -140, 0, 0, -120, -216, 0, 0, 0, 0, 4, -104, 0, 0, -84, 0, 64, 0, 0, -48, -62, 0, 0, 0, 0, -136, -14, 0, 0, -190, 0, 108, 0, 0, -46, 94, 0, 0, 0, 0, -50, 28, 0, 0, -40, 0, -28, 0, 0, -112, -28, 0, 0, 0, 0, -82, -64, 0, 0, 32, 0, -4, 0, 0, -4, 76, 0, 0, 0, 0, -34, -64, 0, 0, -6, 0, 64, 0, 0, 0, -144, 0, 0, 0, 0, 156, 50, 0, 0, 96, 0, -44, 0, 0, 56, 156, 0, 0, 0, 0, 38, -12, 0, 0, 204, 0, -30, 0, 0, 178, 40, 0, 0, 0, 0, 68, 142, 0, 0, 32, 0, 64, 0, 0, 144, -88, 0, 0, 0, 0, 24, 216, 0, 0, 4, 0, -86, 0, 0, 162, -104, 0, 0, 0, 0, 78, 92, 0, 0, -82, 0, -200, 0, 0, 16, -192, 0, 0, 0, 0, 152, 148, 0, 0, 16, 0, 36, 0, 0, 36, -4, 0, 0, 0, 0, -216, 32, 0, 0, -160, 0, -164, 0, 0, -164, -114, 0, 0, 0, 0, 88, -24, 0, 0, -60, 0, -128, 0, 0, -132, 164, 0, 0, 0, 0, -76, -22, 0, 0, -124, 0, 78, 0, 0, -72, -8, 0, 0, 0, 0, 8, 80, 0, 0, 100, 0, 22, 0, 0, -224, 150, 0, 0, 0, 0, 254, -120, 0, 0, 180, 0, -40, 0, 0, 268, 240, 0, 0, 0, 0, -14, -114, 0, 0, 40, 0, -376, 0, 0, -98, 196, 0, 0, 0, 0, -78, 6, 0, 0, 524, 0, -64, 0, 0, 4, 160, 0, 0, 0, 0, 188, 40, 0, 0, 96, 0, -72, 0, 0, 8, 54, 0, 0, 0, 0, 140, -248, 0, 0, -170, 0, -20, 0, 0, 68, -356, 0, 0, 0, 0, 0, -8, 0, 0, 24, 0, -48, 0, 0, 184, -4, 0, 0, 0, 0, -170, -24, 0, 0, -492, 0, 350, 0, 0, 110, -380, 0, 0, 0, 0, -26, 44, 0, 0, -244, 0, -48, 0, 0, 62, -70, 0, 0, 0, 0, -104, -98, 0, 0, -520, 0, 332, 0, 0, 36, 38, 0, 0, 0, 0, -48, 86, 0, 0, -120, 0, 154, 0, 0, -212, -92, 0, 0, 0, 0, -10, -72, 0, 0, -32, 0, -216, 0, 0, 12, -36, 0, 0, 0, 0, 72, -280, 0, 0, 142, 0, 100, 0, 0, 36, -12, 0, 0, 0, 0, -90, 60, 0, 0, 378, 0, 356, 0, 0, 54, 240, 0, 0, 0, 0, 40, 296, 0, 0, 128, 0, 78, 0, 0, 60, -2, 0, 0, 0, 0, 304, 92, 0, 0, 400, 0, 332, 0, 0, 80, -136, 0, 0, 0, 0, 72, 292, 0, 0, -96, 0, 50, 0, 0, -8, -124, 0, 0, 0, 0, -334, 568, 0, 0, 32, 0, 264, 0, 0, 24, -156, 0, 0, 0, 0, -4, 292, 0, 0, -26, 0, 176, 0, 0, 98, -180, 0, 0, 0, 0, 58, 14, 0, 0, -36, 0, 664, 0, 0, 76, -34, 0, 0, 0, 0, -48, 140, 0, 0, -124, 0, -2, 0, 0, -492, 62, 0, 0, 0, 0, -250, 14, 0, 0, -126, 0, -392, 0, 0, -64, 100, 0, 0, 0, 0, -104, 16, 0, 0, -6, 0, -332, 0, 0, -72, 364, 0, 0, 0, 0, -220, -140, 0, 0, 524, 0, -6, 0, 0, -108, 720, 0, 0, 0, 0, 182, -216, 0, 0, 124, 0, -44, 0, 0, 528, 136, 0, 0, 0, 0, 384, -94, 0, 0, 736, 0, -488, 0, 0, -12, 308, 0, 0, 0, 0, -20, -92, 0, 0, 132, 0, -42, 0, 0, 148, 136, 0, 0, 0, 0, 204, -140, 0, 0, -150, 0, -712, 0, 0, 38, -154, 0, 0, 0, 0, -116, -880, 0, 0, -156, 0, -28, 0, 0, -84, -32, 0, 0, 0, 0, 484, -184, 0, 0, -230, 0, -138, 0, 0, -108, -192, 0, 0, 0, 0, -168, -160, 0, 0, -196, 0, 88, 0, 0, -448, -132, 0, 0, 0, 0, -436, -132, 0, 0, -524, 0, -522, 0, 0, -76, 58, 0, 0, 0, 0, -124, -386, 0, 0, -164, 0, 4, 0, 0, -708, -76, 0, 0, 0, 0, -270, -352, 0, 0, -392, 0, 408, 0, 0, -82, 96, 0, 0, 0, 0, -26, -756, 0, 0, 244, 0, 152, 0, 0, 254, -296, 0, 0, 0, 0, 326, -4, 0, 0, 72, 0, 152, 0, 0, -64, 280, 0, 0, 0, 0, -278, 144, 0, 0, 344, 0, 140, 0, 0, 504, -56, 0, 0, 0, 0, 104, 338, 0, 0, 116, 0, -314, 0, 0, -264, -206, 0, 0, 0, 0, 114, 324, 0, 0, -50, 0, 120, 0, 0, 484, -176, 0, 0, 0, 0, 128, 304, 0, 0, -228, 0, 146, 0, 0, 54, -428, 0, 0, 0, 0, -8, 286, 0, 0, 40, 0, 84, 0, 0, -66, -116, 0, 0, 0, 0, 152, 292, 0, 0, 32, 0, 496, 0, 0, 124, -36, 0, 0, 0, 0, -68], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 46758049
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 32, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36030583758914526, 'source_is_minimal': False, 'source_label': '990.2.ba.i.289.4', 'source_level': 990, 'target_conrey_index': 289, 'target_dim': 32, 'target_embedding_index': 4, 'target_hecke_orbit_code': 36030583758914526, 'target_is_minimal': False, 'target_label': '990.2.ba.i.289.4', 'target_level': 990, 'twist_class_label': '330.2.s.c.169.2', 'twist_class_level': 330, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46758050
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 32, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36030583758914526, 'source_is_minimal': False, 'source_label': '990.2.ba.i.289.4', 'source_level': 990, 'target_conrey_index': 289, 'target_dim': 32, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9008436238877002, 'target_is_minimal': True, 'target_label': '330.2.s.c.289.5', 'target_level': 330, 'twist_class_label': '330.2.s.c.169.2', 'twist_class_level': 330, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46758051
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 32, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36030583758914526, 'source_is_minimal': False, 'source_label': '990.2.ba.i.289.4', 'source_level': 990, 'target_conrey_index': 289, 'target_dim': 32, 'target_embedding_index': 7, 'target_hecke_orbit_code': 36030583758914526, 'target_is_minimal': False, 'target_label': '990.2.ba.i.289.7', 'target_level': 990, 'twist_class_label': '330.2.s.c.169.2', 'twist_class_level': 330, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46758052
    {'conductor': 11, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 32, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36030583758914526, 'source_is_minimal': False, 'source_label': '990.2.ba.i.289.4', 'source_level': 990, 'target_conrey_index': 829, 'target_dim': 32, 'target_embedding_index': 7, 'target_hecke_orbit_code': 36030583758914526, 'target_is_minimal': False, 'target_label': '990.2.ba.i.829.7', 'target_level': 990, 'twist_class_label': '330.2.s.c.169.2', 'twist_class_level': 330, 'twisting_char_label': '11.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46758053
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 32, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36030583758914526, 'source_is_minimal': False, 'source_label': '990.2.ba.i.289.4', 'source_level': 990, 'target_conrey_index': 289, 'target_dim': 32, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9008436238877002, 'target_is_minimal': True, 'target_label': '330.2.s.c.289.2', 'target_level': 330, 'twist_class_label': '330.2.s.c.169.2', 'twist_class_level': 330, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 46758054
    {'conductor': 33, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 32, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36030583758914526, 'source_is_minimal': False, 'source_label': '990.2.ba.i.289.4', 'source_level': 990, 'target_conrey_index': 169, 'target_dim': 32, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9008436238877002, 'target_is_minimal': True, 'target_label': '330.2.s.c.169.2', 'target_level': 330, 'twist_class_label': '330.2.s.c.169.2', 'twist_class_level': 330, 'twisting_char_label': '33.26', 'twisting_conrey_index': 26, 'weight': 2}
  • id: 46758055
    {'conductor': 55, 'degree': 4, 'order': 10, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 32, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36030583758914526, 'source_is_minimal': False, 'source_label': '990.2.ba.i.289.4', 'source_level': 990, 'target_conrey_index': 829, 'target_dim': 32, 'target_embedding_index': 4, 'target_hecke_orbit_code': 36030583758914526, 'target_is_minimal': False, 'target_label': '990.2.ba.i.829.4', 'target_level': 990, 'twist_class_label': '330.2.s.c.169.2', 'twist_class_level': 330, 'twisting_char_label': '55.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46758056
    {'conductor': 165, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 289, 'source_dim': 32, 'source_embedding_index': 4, 'source_hecke_orbit_code': 36030583758914526, 'source_is_minimal': False, 'source_label': '990.2.ba.i.289.4', 'source_level': 990, 'target_conrey_index': 169, 'target_dim': 32, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9008436238877002, 'target_is_minimal': True, 'target_label': '330.2.s.c.169.5', 'target_level': 330, 'twist_class_label': '330.2.s.c.169.2', 'twist_class_level': 330, 'twisting_char_label': '165.59', 'twisting_conrey_index': 59, 'weight': 2}
• hecke_orbit_code 36030583758914526 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': 27, 'hecke_orbit': 9, 'label': '990.2.ba.i', 'level': 990, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 52285741
    {'hecke_orbit_code': 36030583758914526, 'n': 1, 'trace_an': 32}
  • id: 52285742
    {'hecke_orbit_code': 36030583758914526, 'n': 2, 'trace_an': 0}
  • id: 52285743
    {'hecke_orbit_code': 36030583758914526, 'n': 3, 'trace_an': 0}
  • id: 52285744
    {'hecke_orbit_code': 36030583758914526, 'n': 4, 'trace_an': 8}
  • id: 52285745
    {'hecke_orbit_code': 36030583758914526, 'n': 5, 'trace_an': 2}
  • id: 52285746
    {'hecke_orbit_code': 36030583758914526, 'n': 6, 'trace_an': 0}
  • id: 52285747
    {'hecke_orbit_code': 36030583758914526, 'n': 7, 'trace_an': 0}
  • id: 52285748
    {'hecke_orbit_code': 36030583758914526, 'n': 8, 'trace_an': 0}
  • id: 52285749
    {'hecke_orbit_code': 36030583758914526, 'n': 9, 'trace_an': 0}
  • id: 52285750
    {'hecke_orbit_code': 36030583758914526, 'n': 10, 'trace_an': 4}
  • id: 52285751
    {'hecke_orbit_code': 36030583758914526, 'n': 11, 'trace_an': 0}
  • id: 52285752
    {'hecke_orbit_code': 36030583758914526, 'n': 12, 'trace_an': 0}
  • id: 52285753
    {'hecke_orbit_code': 36030583758914526, 'n': 13, 'trace_an': 0}
  • id: 52285754
    {'hecke_orbit_code': 36030583758914526, 'n': 14, 'trace_an': -10}
  • id: 52285755
    {'hecke_orbit_code': 36030583758914526, 'n': 15, 'trace_an': 0}
  • id: 52285756
    {'hecke_orbit_code': 36030583758914526, 'n': 16, 'trace_an': -8}
  • id: 52285757
    {'hecke_orbit_code': 36030583758914526, 'n': 17, 'trace_an': 0}
  • id: 52285758
    {'hecke_orbit_code': 36030583758914526, 'n': 18, 'trace_an': 0}
  • id: 52285759
    {'hecke_orbit_code': 36030583758914526, 'n': 19, 'trace_an': 20}
  • id: 52285760
    {'hecke_orbit_code': 36030583758914526, 'n': 20, 'trace_an': -2}
  • id: 52285761
    {'hecke_orbit_code': 36030583758914526, 'n': 21, 'trace_an': 0}
  • id: 52285762
    {'hecke_orbit_code': 36030583758914526, 'n': 22, 'trace_an': 0}
  • id: 52285763
    {'hecke_orbit_code': 36030583758914526, 'n': 23, 'trace_an': 0}
  • id: 52285764
    {'hecke_orbit_code': 36030583758914526, 'n': 24, 'trace_an': 0}
  • id: 52285765
    {'hecke_orbit_code': 36030583758914526, 'n': 25, 'trace_an': 4}
  • id: 52285766
    {'hecke_orbit_code': 36030583758914526, 'n': 26, 'trace_an': 2}
  • id: 52285767
    {'hecke_orbit_code': 36030583758914526, 'n': 27, 'trace_an': 0}
  • id: 52285768
    {'hecke_orbit_code': 36030583758914526, 'n': 28, 'trace_an': 0}
  • id: 52285769
    {'hecke_orbit_code': 36030583758914526, 'n': 29, 'trace_an': -2}
  • id: 52285770
    {'hecke_orbit_code': 36030583758914526, 'n': 30, 'trace_an': 0}
  • id: 52285771
    {'hecke_orbit_code': 36030583758914526, 'n': 31, 'trace_an': -24}
  • id: 52285772
    {'hecke_orbit_code': 36030583758914526, 'n': 32, 'trace_an': 0}
  • id: 52285773
    {'hecke_orbit_code': 36030583758914526, 'n': 33, 'trace_an': 0}
  • id: 52285774
    {'hecke_orbit_code': 36030583758914526, 'n': 34, 'trace_an': -28}
  • id: 52285775
    {'hecke_orbit_code': 36030583758914526, 'n': 35, 'trace_an': -44}
  • id: 52285776
    {'hecke_orbit_code': 36030583758914526, 'n': 36, 'trace_an': 0}
  • id: 52285777
    {'hecke_orbit_code': 36030583758914526, 'n': 37, 'trace_an': 0}
  • id: 52285778
    {'hecke_orbit_code': 36030583758914526, 'n': 38, 'trace_an': 0}
  • id: 52285779
    {'hecke_orbit_code': 36030583758914526, 'n': 39, 'trace_an': 0}
  • id: 52285780
    {'hecke_orbit_code': 36030583758914526, 'n': 40, 'trace_an': -4}
  • id: 52285781
    {'hecke_orbit_code': 36030583758914526, 'n': 41, 'trace_an': 34}
  • id: 52285782
    {'hecke_orbit_code': 36030583758914526, 'n': 42, 'trace_an': 0}
  • id: 52285783
    {'hecke_orbit_code': 36030583758914526, 'n': 43, 'trace_an': 0}
  • id: 52285784
    {'hecke_orbit_code': 36030583758914526, 'n': 44, 'trace_an': 20}
  • id: 52285785
    {'hecke_orbit_code': 36030583758914526, 'n': 45, 'trace_an': 0}
  • id: 52285786
    {'hecke_orbit_code': 36030583758914526, 'n': 46, 'trace_an': -38}
  • id: 52285787
    {'hecke_orbit_code': 36030583758914526, 'n': 47, 'trace_an': 0}
  • id: 52285788
    {'hecke_orbit_code': 36030583758914526, 'n': 48, 'trace_an': 0}
  • id: 52285789
    {'hecke_orbit_code': 36030583758914526, 'n': 49, 'trace_an': 14}
  • id: 52285790
    {'hecke_orbit_code': 36030583758914526, 'n': 50, 'trace_an': 24}
  • id: 52285791
    {'hecke_orbit_code': 36030583758914526, 'n': 51, 'trace_an': 0}
  • id: 52285792
    {'hecke_orbit_code': 36030583758914526, 'n': 52, 'trace_an': 0}
  • id: 52285793
    {'hecke_orbit_code': 36030583758914526, 'n': 53, 'trace_an': 0}
  • id: 52285794
    {'hecke_orbit_code': 36030583758914526, 'n': 54, 'trace_an': 0}
  • id: 52285795
    {'hecke_orbit_code': 36030583758914526, 'n': 55, 'trace_an': 28}
  • id: 52285796
    {'hecke_orbit_code': 36030583758914526, 'n': 56, 'trace_an': -20}
  • id: 52285797
    {'hecke_orbit_code': 36030583758914526, 'n': 57, 'trace_an': 0}
  • id: 52285798
    {'hecke_orbit_code': 36030583758914526, 'n': 58, 'trace_an': 0}
  • id: 52285799
    {'hecke_orbit_code': 36030583758914526, 'n': 59, 'trace_an': 4}
  • id: 52285800
    {'hecke_orbit_code': 36030583758914526, 'n': 60, 'trace_an': 0}
  • id: 52285801
    {'hecke_orbit_code': 36030583758914526, 'n': 61, 'trace_an': -8}
  • id: 52285802
    {'hecke_orbit_code': 36030583758914526, 'n': 62, 'trace_an': 0}
  • id: 52285803
    {'hecke_orbit_code': 36030583758914526, 'n': 63, 'trace_an': 0}
  • id: 52285804
    {'hecke_orbit_code': 36030583758914526, 'n': 64, 'trace_an': 8}
  • id: 52285805
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  • id: 52285806
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  • id: 52285808
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  • id: 52285809
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  • id: 52285810
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  • id: 52285811
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  • id: 52285812
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  • id: 52285813
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  • id: 52285814
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  • id: 52285815
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  • id: 52285816
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  • id: 52285817
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  • id: 52285818
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  • id: 52285819
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  • id: 52285820
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  • id: 52285821
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  • id: 52285822
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  • id: 52285823
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  • id: 52285824
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  • id: 52285825
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  • id: 52285826
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  • id: 52285827
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  • id: 52285828
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  • id: 52285829
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  • id: 52285830
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  • id: 52285831
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  • id: 52285832
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  • id: 52285833
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  • id: 52285834
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  • id: 52285835
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  • id: 52285836
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  • id: 52285837
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  • id: 52285838
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  • id: 52285839
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  • id: 52285840
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  • id: 52285844
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  • id: 52285847
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  • id: 52285848
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  • id: 52285849
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  • id: 52285860
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  • id: 52285866
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  • id: 52285872
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  • id: 52285874
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  • id: 52285875
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  • id: 52285878
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  • id: 52285879
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  • id: 52285880
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  • id: 52285881
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  • id: 52285882
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  • id: 52285886
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  • id: 52285889
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  • id: 52285890
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  • id: 52285891
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  • id: 52285893
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  • id: 52285895
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  • id: 52285896
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  • id: 52285899
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  • id: 52285900
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  • id: 52285901
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  • id: 52285902
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  • id: 52285903
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  • id: 52285904
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  • id: 52285905
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  • id: 52285906
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  • id: 52285907
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  • id: 52285908
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  • id: 52285909
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  • id: 52285910
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  • id: 52285911
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  • id: 52285912
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  • id: 52285913
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  • id: 52285914
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  • id: 52285915
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  • id: 52285916
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  • id: 52285917
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  • id: 52285918
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  • id: 52285919
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  • id: 52285920
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  • id: 52285921
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  • id: 52285922
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  • id: 52285923
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  • id: 52285924
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  • id: 52285925
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  • id: 52285926
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  • id: 52285927
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  • id: 52285928
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  • id: 52285930
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  • id: 52285931
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  • id: 52285932
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  • id: 52285933
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  • id: 52285935
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  • id: 52285936
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  • id: 52285937
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  • id: 52285938
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  • id: 52285939
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  • id: 52285940
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  • id: 52285941
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  • id: 52285942
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  • id: 52285943
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  • id: 52285944
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  • id: 52285945
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  • id: 52285946
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  • id: 52285947
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  • id: 52285948
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  • id: 52285949
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  • id: 52285950
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  • id: 52285952
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  • id: 52285953
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  • id: 52285954
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  • id: 52285955
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  • id: 52285956
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  • id: 52285960
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  • id: 52285963
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  • id: 52285964
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