Embedded newform data - 152.2.t.a.101.3

Formats: - HTML - YAML - JSON - 2025-09-13T10:30:52.433125

• 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': 608, 'analytic_conductor': 1.2137261107234618, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 152, 'char_degree': 6, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 20, 'char_orbit_label': 't', 'char_order': 18, 'char_parity': 1, 'char_values': [152, 18, [39, 77, 97], [18, 9, 16]], 'cm_discs': [], 'conrey_index': 5, 'dim': 108, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 1305703612568, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 2, 1, 2, 0], [1, 1, 19, 5, 1, 9, 0], [1, 1, 152, 20, 1, 18, 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': '152.2.t.a', 'level': 152, '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, 19], 'level_radical': 38, 'minimal_twist': '152.2.t.a', 'prim_orbit_index': 20, 'related_objects': [], 'relative_dim': 18, 'rm_discs': [], 'sato_tate_group': '1.2.3.c18', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '152.2.t', 'trace_display': [-6, 0, 0, -6], 'traces': [108, -6, 0, -12, 0, -12, -6, -3, -12, 9, 0, -3, 0, -9, -12, 0, -12, -12, 0, -42, 0, -12, -12, -36, -12, 21, 0, 24, 0, -48, 30, 39, -30, -60, 0, 69, 0, -42, -24, 36, -24, -81, 0, 45, 0, -18, -48, -21, -24, -12, 0, 3, 0, 63, -42, 30, -12, -84, 0, 30, 0, -6, 30, 3, -6, 54, 0, 36, 0, 123, -12, 150, 12, 75, 0, 42, 0, 39, -12, 51, -18, 99, 0, 75, 0, -48, -6, -27, -12, 66, 0, -48, 0, 54, -72, 42, -12, 93, 0, 33, 0, -9, -66, -147, 30, 81, 0, -168, 0, 156, 24, -93, -24, 120, 0, -153, 0, 96, 90, -120, -12, 75, 0, 3, 0, -30, -12, -48, 24, -66, 0, -270, 0, 84, 108, -69, -72, -6, 0, 9, 0, -60, 102, -135, -6, -138, 0, -105, 0, -177, 144, -81, -24, -84, 0, -222, 0, -57, 210, -141, 54, -57, 0, 33, 0, -189, 108, 111, 12, -294, 0, -24, 0, -165, 102, -63, -12, -27, 0, 147, 0, -57, -102, 222, 24, -189, 0, 72, 0, -147, -24, 120, 60, -123, 0, 96, 0, -171, 84, 27, 6, 42, 0, 279, 0, 126, 90, 318, -198, -108, 0, 219, 0, -165, -96, -36, 150, 282, 0, 186, 0, 288, -72, 216, -102, 36, 0, 201, 0, 240, 0, 99, 84, 189, 0, 93, 0, 102, -102, -111, -252, 159, 0, -123, 0, 516, 132, 210, 138, 180, 0, 87, 0, -3, 138, -96, -60, 189, 0, -48, 0, 213, -12, -150, -24, 168, 0, -129, 0, 168, -264, -165, -24, 117, 0, -36, 0, -66, -150, -258, 36, -9, 0, -456, 0, 12, -102, -309, 156, 177, 0, -48, 0, -144, -432, -78, -102, -222, 0, -315, 0, -105, -264, -165, 216, -276, 0, -105, 0, -174, -174, -219, 60, -87, 0, 72, 0, -276, -366, 255, 174, -528, 0, -264, 0, -321, -288, -69, 102, -141, 0, 243, 0, -195, 150, 432, 72, -315, 0, 45, 0, -6, 60, 219, 42, -210, 0, 258, 0, -186, -414, 120, -78, 231, 0, 267, 0, 48, -108, 690, -84, -204, 0, 315, 0, -228, 108, 18, -6, 237, 0, 288, 0, 60, 174, 324, -12, 288, 0, 252, 0, 144, 48, 309, 0, 123, 0, 135, 0, 144, 66, -51, -60, 297, 0, -135, 0, 576, -174, 90, -12, 297, 0, 117, 0, 3, -132, -195, -48, 111, 0, -261, 0, 324, 6, -126, 96, 156, 0, -243, 0, -3, 606, -291, 66, 222, 0, -228, 0, -201, 288, -501, -84, -198, 0, -510, 0, 222, 180, -498, 180, 156, 0, 3, 0, -279, 576, -171, -6, -381, 0, -369, 0, -36, 540, -192, -24, -396, 0, -234, 0, -390, 354, -180, -90, -54, 0, 249, 0, -306, 456, 75, -114, -846, 0, -168, 0, -183, 504, -216, 216, 3, 0, 69, 0, -258, 54, 3, -6, -327, 0, 129, 0, -315, 36, 294, -66, -294, 0, 207, 0, -183, 132, 180, -54, 30, 0, 318, 0, 258, 198, 600, 102, -144, 0, 450, 0, -108, -252, 129, -198, 279, 0, 102, 0, 429, -114, 384, 84, 171, 0, 108, 0, 246, -126, 54, -126, 240, 0, 294, 0, 162, -198, -150, 324, 531, 0, -324, 0, 780, 156, -24, -162, 471, 0, 294, 0, 87, 186, -501, 150, 264, 0, -513, 0, 345, -324, -162, -240, 234, 0, -423, 0, 399, -636, -264, -6, 315, 0, -3, 0, -123, -342, -303, -360, -135, 0, -1008, 0, 336, -222, -174, 48, 207, 0, -51, 0, -186, -132, -387, 162, -81, 0, -315, 0, -24, -336, -300, -180, -171, 0, -228, 0, -39, -618, -147, -60, -261, 0, 138, 0, -459, -438, 57, -186, -654, 0, -270, 0, -624, -324, -141, -384, -3, 0, 243, 0, -111, 42, 435, -84, -444, 0, 246, 0, -252, -168, 222, -246, -48, 0, 204, 0, -276, -528, 174, 54, 234, 0, 537, 0, 273, -534, 852, 174, 120, 0, 411, 0, -114, 78, 30, -6, 393, 0, 291, 0, 426, 138, 351, -36, 180, 0, 414, 0, 501, 108, 312, 60, 492, 0, 264, 0, 54, 306, -171, 36, 327, 0, 0, 0, 648, 72, 180, -60, 486, 0, 216, 0, -6, -210, -144, 150, 453, 0, -99, 0, 339, 348, -216, -132, 321, 0, -234, 0, 450, 768, -12, -180, 246, 0, -165, 0, -183, 432, -546, -126, -474, 0, -630, 0, 144, 204, -276, -60, 114, 0, -147, 0, -105, 408, -72, -6, -498, 0, -567, 0, -297, 420, -36, -24, -375, 0, -243, 0, -438, 342, -354, 108, -216, 0, 198, 0, -465, 882, 282, 432, -834, 0, -378, 0, -594, 600, -255, -204, -45, 0, 594, 0, -327, -264, 612, -132, -513, 0, 72, 0, -315, 312, 519, -204, -207, 0, 285, 0, -108, 852, 30, 114, 78, 0, 276, 0, 87, 210, 1176, -24, -582, 0, 207, 0, -138, -300, 114, 288, 177, 0, 276, 0, -42, -30, 282, -132, 132, 0, 327, 0, 36, 72, 429, 228, 150, 0, 363, 0, -237, -24, -24, -204, 537, 0, -24, 0, 816, 102, -72, 156, 333, 0, 120, 0, 66, 78, -453, -300, 75, 0, -435, 0, 474, -492, -219, 792, 84, 0, -291, 0, 243, -1026, -501, 66, 348, 0, -225, 0, -87, -432, -213, 438, -462, 0, -498, 0, 270, -342, -639, -366, 165, 0, 72, 0, -693, -774, -309, 138, -834, 0, -252, 0, -285, -768, -132, 180, -483, 0, -288, 0, -213, -486, -288, 468, 81, 0, 195, 0, -405, -798, 204, 252, -912, 0, -240, 0, -150, -978, -447, 636, -24, 0, 117, 0, -432, 42, -42, 216, -468, 0, 522, 0, -660, -384, 234, 516, -405, 0, 36, 0, -372, -762, 219, 120, 9, 0, 393, 0, 6, -396, 480, 24, 0, 0, 486, 0, 3, 306, -15, -6, 120, 0, 72, 0, 639, 192, 561, -90, 69, 0, 312, 0, 336, -60, 75, -138, 288, 0, 102, 0, 351, 444, -267], '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], [-0.9245891695827784, -0.3809657038241477], [0.14780385034355278, -0.40608774132736164], [0.7097302650195436, 0.7044735274765749], [0.9582119950550808, -0.16895862796669697], [-0.2913633414394195, 0.31915612965756085], [-0.3222255376020925, 0.5581110026230199], [-0.3878286631415917, -0.9217314837010863], [0.6229831676389992, 0.5227449461955379], [-0.9503198754127296, -0.20882858958332562], [0.46200775792432575, -0.2667403034053049], [0.39097892947311996, -0.18408886044731382], [-0.23359990940372782, -0.6418104762733876], [0.5105473931561626, -0.39326650972753435], [0.07301539470575234, -0.41409088054694443], [0.007434098169423125, 0.9999723667104043], [1.1968260559205834, -1.0042563021063202], [-0.37685559328349183, -0.7206595366367149], [-0.6600712050732748, -0.7512030379551955], [0.7990989338366493, 0.5551199324226768], [0.17901586132852085, 0.21334279586961163], [-0.5287862766651223, 0.07061608494991205], [-0.09125648483743601, 0.51754124338077], [-0.4316264260124119, 0.021257003563282924], [-0.05006941128285894, 0.018223775354193002], [-0.02852383356499759, 0.6824045691863873], [0.6786121121651943, -0.3917968856339155], [-0.6218676429397249, 0.16910890868437733], [-0.8839101027973071, 1.0534030405390082], [-0.22526366691247812, 0.355047582142626], [-0.579846468211795, 1.0043235435322009], [0.37408168983546414, -0.9273957565839104], [-0.04003344182102801, -0.22704093077631946], [-1.4891596181304143, 0.4725748196638907], [-0.21446270598709397, 0.5892314420146763], [0.0738900324542188, 0.8098830588661623], [0.0, 0.2910552600755063], [0.3241120932947639, 0.946018684265848], [-0.2951583327198743, 0.0], [-0.5273565638882929, -0.8176871650917359], [0.5098274309995973, 0.18556200949625953], [-0.08423983818360485, -0.26545334207625837], [-1.111310559682751, 0.1959540356182939], [0.5158123709328238, 0.13615856871925272], [0.6852722128348222, 0.39564209654835514], [0.28154022157746794, -0.44374743746765327], [-0.9474210808918754, -0.7949806795459526], [0.407175308120477, 0.14478086990252598], [0.2923414058340849, 0.5063501680607477], [0.05323626880366043, 0.0022252231880386638], [-0.23092067417957365, -0.6344493379936166], [0.2863455645820848, -0.6200772716136833], [-0.2715201163963368, -0.04787632232577704], [-0.7766985855472661, 0.103723216198776], [0.3976332997648122, -0.33365395517645874], [0.6393967819959173, 0.08055397882845769], [-0.4026154105722165, 0.15701612338388393], [1.218564138680631, -0.6372256080584846], [0.20515116923086374, 0.24448964295578463], [0.34353729874980715, -0.24245541772430326], [0.09324080956201673, 0.01644087042888338], [0.9187325901583574, -0.7076850532346183], [-0.49249079214683933, 0.1792519889916327], [-0.6991778560916116, 0.7149477781986161], [-0.33227765272023607, -0.5755217767311758], [-0.04948032126124537, 0.2251709539876293], [-0.27446329313674067, 0.32709261563094844], [1.556895653486231, 0.1303811819487843], [0.19667909474046014, 0.11355272829237657], [0.42276686625752136, -0.4630940739340081], [-0.205960442351813, -1.1680597122702583], [0.24021974578891045, -0.776958673075736], [-1.7550646425695728, -0.6387912891083761], [0.11088207200638561, -0.269106541215912], [0.0, 0.02302611830259257], [0.06073014269099113, -0.9981542214351107], [0.0, 0.3438021506596786], [0.272900197744906, 0.11244520196418886], [1.0370751785625167, 0.3774644956930629], [0.17607740112235892, 0.9569294614786519], [0.082416390007381, 0.4674065742873826], [-0.4006881595076732, -0.36579539034587694], [1.1590953926896819, 0.6692040369858429], [-0.023241377264587176, 0.2775277743569103], [0.9771353158467734, -1.1645045231110702], [1.102157474622153, 0.24219423046803426], [0.29712874488885344, 0.5146420825366655], [-0.425042786737485, -0.3223975609173391], [-0.048831591237121566, 0.01777324570216657], [-0.48286919642909576, -0.6268716083733823], [0.4334733447983147, 0.07643304610588622], [-0.429361594507489, 0.3030269060446369], [0.3221399387450698, 0.38391142931751565], [0.5731148963172144, 1.0959654652355533], [-0.7594103809089984, -0.6082870365209807], [-0.32131333400703554, -0.2889826521125805], [0.5833395089649512, -0.4894799668236262], [-0.0773936494980604, -0.57953793083591], [0.427260202057276, 0.07533750140564816], [-0.04837394384686501, -0.022338609873323024], [-0.4528353958935928, -1.2441550249474405], [-0.02819668421031538, 0.6745778437242295], [0.23177330443789237, 0.40144313912455876], [-0.5009801819763258, 0.46422889009051355], [0.20758125170681432, 0.17418135174650604], [0.23280532211255697, 0.14770578134721257], [-0.5646933162777545, -0.32602583816254405], [0.7576420882893362, 0.1999941609705529], [-1.8526064244440617, 0.3266644972633263], [-0.49475815629551795, 0.1570081834357916], [0.11819397316551015, 0.04301908810190397], [-0.5604910364592871, -0.31806758146756214], [-0.9839642830256404, 0.0], [0.43207160607887557, 0.008207256128480325], [0.0, 0.5113327978143716], [-1.3694323073348493, 0.12494075104434248], [0.18997437136674694, -0.521950295605224], [-0.0965383802917353, -0.3042080355284617], [0.17483857237384282, 0.9915588168716899], [-0.40999806463111194, 0.09329572452649244], [-0.3576992210784917, 0.61955322473576], [-0.07994603490974986, -0.050722601376986365], [0.15070891462500494, -0.1796078904403237], [-1.1190539369945065, 0.3043123278604792], [-0.8875355331448885, 0.5124188789765595], [0.5236405126862866, 0.021887653609297664], [1.1783456086742834, -0.4288827272357298], [0.918822856873357, -0.3946701884955115], [-0.08468144792034492, 0.480252356049556], [0.08796626026100152, 0.6587075914582835], [-0.6635664083516138, -0.7908076510778723], [0.13153138011227591, -0.1893403199468489], [0.6319464795970297, -0.1263361993125924], [0.37837685681177946, -0.1978651882191458], [0.5840568016280219, -0.490081846832655], [-1.3898181006373287, -0.713672877158386], [0.03794284678283215, -0.21518457714401626], [-0.1385876658253172, -0.17991761251100294], [0.37861426897686956, 1.0402341546972678], 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[-1.6017939099704124, -0.5830053046581072], [0.7144954458352852, 0.913446202395853], [-0.012201997791111365, -0.06920096823574533], [-0.5645113331338808, -0.5153524968446812], [-0.9240535171076919, -0.5335025468477463], [0.5763748843665033, 0.04826812798983975], [-1.090103948066084, 1.2991352964088876], [-0.028830903214100912, -0.0063354634690758515], [0.11403454444495267, 0.1975136247966293], [0.8165243329057534, 0.6193387150010806]], 'angles': [None, -0.40978169565627603, -0.19691500809536197, -0.4688821374560314, -0.2903600344671802, -0.11102306125170802, -0.21842201361991645, None, 0.0700945749009265, 0.2317701973162286, 0.18177706876707683, 0.023243984062678497, -0.15072204953660961, -0.3731906694228478, -0.24499530092365668, -0.24423251997690665, -0.0856042304430611, -0.21468507396869507, -0.4231311677554192, -0.42674167959539233, -0.38623112302149454, -0.1014119452409191, -0.04998427309615825, -0.3096913036066417, -0.298944410384487, -0.4404092659398465, -0.04610695527375955, 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-0.01499028140718189, -0.35683989143385964, 0.2721928675215187], 'char_orbit_index': 20, 'conrey_index': 101, 'dual_conrey_index': 149, 'dual_embedding_index': 3, 'dual_embedding_m': 93, 'embedding_index': 3, 'embedding_m': 75, 'hecke_orbit': 1, 'hecke_orbit_code': 1305703612568, 'label': '152.2.t.a.101.3', 'level': 152, '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': 608, 'analytic_conductor': 1.2137261107234618, 'char_conductor': 152, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 20, 'char_orbit_label': 't', 'char_order': 18, 'char_parity': 1, 'char_values': [152, 18, [39, 77, 97], [18, 9, 16]], 'conrey_index': 5, 'cusp_dim': 108, 'dim': 108, 'eis_dim': 24, 'eis_new_dim': 24, 'hecke_cutter_primes': [], 'hecke_orbit_code': 1305703612568, 'hecke_orbit_dims': [108], 'label': '152.2.t', 'level': 152, '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, 19], 'level_radical': 38, 'mf_dim': 132, 'mf_new_dim': 132, 'num_forms': 1, 'prim_orbit_index': 20, 'relative_dim': 18, 'sturm_bound': 40, 'trace_bound': 0, 'trace_display': [-6, 0, 0, -6], 'traces': [108, -6, 0, -12, 0, -12, -6, -3, -12, 9, 0, -3, 0, -9, -12, 0, -12, -12, 0, -42, 0, -12, -12, -36, -12, 21, 0, 24, 0, -48, 30, 39, -30, -60, 0, 69, 0, -42, -24, 36, -24, -81, 0, 45, 0, -18, -48, -21, -24, -12, 0, 3, 0, 63, -42, 30, -12, -84, 0, 30, 0, -6, 30, 3, -6, 54, 0, 36, 0, 123, -12, 150, 12, 75, 0, 42, 0, 39, -12, 51, -18, 99, 0, 75, 0, -48, -6, -27, -12, 66, 0, -48, 0, 54, -72, 42, -12, 93, 0, 33, 0, -9, -66, -147, 30, 81, 0, -168, 0, 156, 24, -93, -24, 120, 0, -153, 0, 96, 90, -120, -12, 75, 0, 3, 0, -30, -12, -48, 24, -66, 0, -270, 0, 84, 108, -69, -72, -6, 0, 9, 0, -60, 102, -135, -6, -138, 0, -105, 0, -177, 144, -81, -24, -84, 0, -222, 0, -57, 210, -141, 54, -57, 0, 33, 0, -189, 108, 111, 12, -294, 0, -24, 0, -165, 102, -63, -12, -27, 0, 147, 0, -57, -102, 222, 24, -189, 0, 72, 0, -147, -24, 120, 60, -123, 0, 96, 0, -171, 84, 27, 6, 42, 0, 279, 0, 126, 90, 318, -198, -108, 0, 219, 0, -165, -96, -36, 150, 282, 0, 186, 0, 288, -72, 216, -102, 36, 0, 201, 0, 240, 0, 99, 84, 189, 0, 93, 0, 102, -102, -111, -252, 159, 0, -123, 0, 516, 132, 210, 138, 180, 0, 87, 0, -3, 138, -96, -60, 189, 0, -48, 0, 213, -12, -150, -24, 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138, -834, 0, -252, 0, -285, -768, -132, 180, -483, 0, -288, 0, -213, -486, -288, 468, 81, 0, 195, 0, -405, -798, 204, 252, -912, 0, -240, 0, -150, -978, -447, 636, -24, 0, 117, 0, -432, 42, -42, 216, -468, 0, 522, 0, -660, -384, 234, 516, -405, 0, 36, 0, -372, -762, 219, 120, 9, 0, 393, 0, 6, -396, 480, 24, 0, 0, 486, 0, 3, 306, -15, -6, 120, 0, 72, 0, 639, 192, 561, -90, 69, 0, 312, 0, 336, -60, 75, -138, 288, 0, 102, 0, 351, 444, -267], '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: 15570073
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 101, 'source_dim': 108, 'source_embedding_index': 3, 'source_hecke_orbit_code': 1305703612568, 'source_is_minimal': True, 'source_label': '152.2.t.a.101.3', 'source_level': 152, 'target_conrey_index': 101, 'target_dim': 108, 'target_embedding_index': 3, 'target_hecke_orbit_code': 1305703612568, 'target_is_minimal': True, 'target_label': '152.2.t.a.101.3', 'target_level': 152, 'twist_class_label': '152.2.t.a.101.3', 'twist_class_level': 152, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 15570074
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 101, 'source_dim': 108, 'source_embedding_index': 3, 'source_hecke_orbit_code': 1305703612568, 'source_is_minimal': True, 'source_label': '152.2.t.a.101.3', 'source_level': 152, 'target_conrey_index': 177, 'target_dim': 108, 'target_embedding_index': 8, 'target_hecke_orbit_code': 2130337333856, 'target_is_minimal': False, 'target_label': '608.2.bf.a.177.8', 'target_level': 608, 'twist_class_label': '152.2.t.a.101.3', 'twist_class_level': 152, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 15570075
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 101, 'source_dim': 108, 'source_embedding_index': 3, 'source_hecke_orbit_code': 1305703612568, 'source_is_minimal': True, 'source_label': '152.2.t.a.101.3', 'source_level': 152, 'target_conrey_index': 177, 'target_dim': 108, 'target_embedding_index': 11, 'target_hecke_orbit_code': 2130337333856, 'target_is_minimal': False, 'target_label': '608.2.bf.a.177.11', 'target_level': 608, 'twist_class_label': '152.2.t.a.101.3', 'twist_class_level': 152, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 15570076
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 101, 'source_dim': 108, 'source_embedding_index': 3, 'source_hecke_orbit_code': 1305703612568, 'source_is_minimal': True, 'source_label': '152.2.t.a.101.3', 'source_level': 152, 'target_conrey_index': 101, 'target_dim': 108, 'target_embedding_index': 12, 'target_hecke_orbit_code': 1305703612568, 'target_is_minimal': True, 'target_label': '152.2.t.a.101.12', 'target_level': 152, 'twist_class_label': '152.2.t.a.101.3', 'twist_class_level': 152, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 15570077
    {'conductor': 19, 'degree': 6, 'order': 9, 'parity': 1, 'source_conrey_index': 101, 'source_dim': 108, 'source_embedding_index': 3, 'source_hecke_orbit_code': 1305703612568, 'source_is_minimal': True, 'source_label': '152.2.t.a.101.3', 'source_level': 152, 'target_conrey_index': 149, 'target_dim': 108, 'target_embedding_index': 12, 'target_hecke_orbit_code': 1305703612568, 'target_is_minimal': True, 'target_label': '152.2.t.a.149.12', 'target_level': 152, 'twist_class_label': '152.2.t.a.101.3', 'twist_class_level': 152, 'twisting_char_label': '19.16', 'twisting_conrey_index': 16, 'weight': 2}
  • id: 15570078
    {'conductor': 76, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 101, 'source_dim': 108, 'source_embedding_index': 3, 'source_hecke_orbit_code': 1305703612568, 'source_is_minimal': True, 'source_label': '152.2.t.a.101.3', 'source_level': 152, 'target_conrey_index': 529, 'target_dim': 108, 'target_embedding_index': 11, 'target_hecke_orbit_code': 2130337333856, 'target_is_minimal': False, 'target_label': '608.2.bf.a.529.11', 'target_level': 608, 'twist_class_label': '152.2.t.a.101.3', 'twist_class_level': 152, 'twisting_char_label': '76.35', 'twisting_conrey_index': 35, 'weight': 2}
  • id: 15570079
    {'conductor': 152, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 101, 'source_dim': 108, 'source_embedding_index': 3, 'source_hecke_orbit_code': 1305703612568, 'source_is_minimal': True, 'source_label': '152.2.t.a.101.3', 'source_level': 152, 'target_conrey_index': 529, 'target_dim': 108, 'target_embedding_index': 8, 'target_hecke_orbit_code': 2130337333856, 'target_is_minimal': False, 'target_label': '608.2.bf.a.529.8', 'target_level': 608, 'twist_class_label': '152.2.t.a.101.3', 'twist_class_level': 152, 'twisting_char_label': '152.35', 'twisting_conrey_index': 35, 'weight': 2}
  • id: 15570080
    {'conductor': 152, 'degree': 6, 'order': 18, 'parity': 1, 'source_conrey_index': 101, 'source_dim': 108, 'source_embedding_index': 3, 'source_hecke_orbit_code': 1305703612568, 'source_is_minimal': True, 'source_label': '152.2.t.a.101.3', 'source_level': 152, 'target_conrey_index': 149, 'target_dim': 108, 'target_embedding_index': 3, 'target_hecke_orbit_code': 1305703612568, 'target_is_minimal': True, 'target_label': '152.2.t.a.149.3', 'target_level': 152, 'twist_class_label': '152.2.t.a.101.3', 'twist_class_level': 152, 'twisting_char_label': '152.149', 'twisting_conrey_index': 149, 'weight': 2}
• hecke_orbit_code 1305703612568 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': 20, 'hecke_orbit': 1, 'label': '152.2.t.a', 'level': 152, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 12722304
    {'hecke_orbit_code': 1305703612568, 'n': 1, 'trace_an': 108}
  • id: 12722305
    {'hecke_orbit_code': 1305703612568, 'n': 2, 'trace_an': -6}
  • id: 12722306
    {'hecke_orbit_code': 1305703612568, 'n': 3, 'trace_an': 0}
  • id: 12722307
    {'hecke_orbit_code': 1305703612568, 'n': 4, 'trace_an': -12}
  • id: 12722308
    {'hecke_orbit_code': 1305703612568, 'n': 5, 'trace_an': 0}
  • id: 12722309
    {'hecke_orbit_code': 1305703612568, 'n': 6, 'trace_an': -12}
  • id: 12722310
    {'hecke_orbit_code': 1305703612568, 'n': 7, 'trace_an': -6}
  • id: 12722311
    {'hecke_orbit_code': 1305703612568, 'n': 8, 'trace_an': -3}
  • id: 12722312
    {'hecke_orbit_code': 1305703612568, 'n': 9, 'trace_an': -12}
  • id: 12722313
    {'hecke_orbit_code': 1305703612568, 'n': 10, 'trace_an': 9}
  • id: 12722314
    {'hecke_orbit_code': 1305703612568, 'n': 11, 'trace_an': 0}
  • id: 12722315
    {'hecke_orbit_code': 1305703612568, 'n': 12, 'trace_an': -3}
  • id: 12722316
    {'hecke_orbit_code': 1305703612568, 'n': 13, 'trace_an': 0}
  • id: 12722317
    {'hecke_orbit_code': 1305703612568, 'n': 14, 'trace_an': -9}
  • id: 12722318
    {'hecke_orbit_code': 1305703612568, 'n': 15, 'trace_an': -12}
  • id: 12722319
    {'hecke_orbit_code': 1305703612568, 'n': 16, 'trace_an': 0}
  • id: 12722320
    {'hecke_orbit_code': 1305703612568, 'n': 17, 'trace_an': -12}
  • id: 12722321
    {'hecke_orbit_code': 1305703612568, 'n': 18, 'trace_an': -12}
  • id: 12722322
    {'hecke_orbit_code': 1305703612568, 'n': 19, 'trace_an': 0}
  • id: 12722323
    {'hecke_orbit_code': 1305703612568, 'n': 20, 'trace_an': -42}
  • id: 12722324
    {'hecke_orbit_code': 1305703612568, 'n': 21, 'trace_an': 0}
  • id: 12722325
    {'hecke_orbit_code': 1305703612568, 'n': 22, 'trace_an': -12}
  • id: 12722326
    {'hecke_orbit_code': 1305703612568, 'n': 23, 'trace_an': -12}
  • id: 12722327
    {'hecke_orbit_code': 1305703612568, 'n': 24, 'trace_an': -36}
  • id: 12722328
    {'hecke_orbit_code': 1305703612568, 'n': 25, 'trace_an': -12}
  • id: 12722329
    {'hecke_orbit_code': 1305703612568, 'n': 26, 'trace_an': 21}
  • id: 12722330
    {'hecke_orbit_code': 1305703612568, 'n': 27, 'trace_an': 0}
  • id: 12722331
    {'hecke_orbit_code': 1305703612568, 'n': 28, 'trace_an': 24}
  • id: 12722332
    {'hecke_orbit_code': 1305703612568, 'n': 29, 'trace_an': 0}
  • id: 12722333
    {'hecke_orbit_code': 1305703612568, 'n': 30, 'trace_an': -48}
  • id: 12722334
    {'hecke_orbit_code': 1305703612568, 'n': 31, 'trace_an': 30}
  • id: 12722335
    {'hecke_orbit_code': 1305703612568, 'n': 32, 'trace_an': 39}
  • id: 12722336
    {'hecke_orbit_code': 1305703612568, 'n': 33, 'trace_an': -30}
  • id: 12722337
    {'hecke_orbit_code': 1305703612568, 'n': 34, 'trace_an': -60}
  • id: 12722338
    {'hecke_orbit_code': 1305703612568, 'n': 35, 'trace_an': 0}
  • id: 12722339
    {'hecke_orbit_code': 1305703612568, 'n': 36, 'trace_an': 69}
  • id: 12722340
    {'hecke_orbit_code': 1305703612568, 'n': 37, 'trace_an': 0}
  • id: 12722341
    {'hecke_orbit_code': 1305703612568, 'n': 38, 'trace_an': -42}
  • id: 12722342
    {'hecke_orbit_code': 1305703612568, 'n': 39, 'trace_an': -24}
  • id: 12722343
    {'hecke_orbit_code': 1305703612568, 'n': 40, 'trace_an': 36}
  • id: 12722344
    {'hecke_orbit_code': 1305703612568, 'n': 41, 'trace_an': -24}
  • id: 12722345
    {'hecke_orbit_code': 1305703612568, 'n': 42, 'trace_an': -81}
  • id: 12722346
    {'hecke_orbit_code': 1305703612568, 'n': 43, 'trace_an': 0}
  • id: 12722347
    {'hecke_orbit_code': 1305703612568, 'n': 44, 'trace_an': 45}
  • id: 12722348
    {'hecke_orbit_code': 1305703612568, 'n': 45, 'trace_an': 0}
  • id: 12722349
    {'hecke_orbit_code': 1305703612568, 'n': 46, 'trace_an': -18}
  • id: 12722350
    {'hecke_orbit_code': 1305703612568, 'n': 47, 'trace_an': -48}
  • id: 12722351
    {'hecke_orbit_code': 1305703612568, 'n': 48, 'trace_an': -21}
  • id: 12722352
    {'hecke_orbit_code': 1305703612568, 'n': 49, 'trace_an': -24}
  • id: 12722353
    {'hecke_orbit_code': 1305703612568, 'n': 50, 'trace_an': -12}
  • id: 12722354
    {'hecke_orbit_code': 1305703612568, 'n': 51, 'trace_an': 0}
  • id: 12722355
    {'hecke_orbit_code': 1305703612568, 'n': 52, 'trace_an': 3}
  • id: 12722356
    {'hecke_orbit_code': 1305703612568, 'n': 53, 'trace_an': 0}
  • id: 12722357
    {'hecke_orbit_code': 1305703612568, 'n': 54, 'trace_an': 63}
  • id: 12722358
    {'hecke_orbit_code': 1305703612568, 'n': 55, 'trace_an': -42}
  • id: 12722359
    {'hecke_orbit_code': 1305703612568, 'n': 56, 'trace_an': 30}
  • id: 12722360
    {'hecke_orbit_code': 1305703612568, 'n': 57, 'trace_an': -12}
  • id: 12722361
    {'hecke_orbit_code': 1305703612568, 'n': 58, 'trace_an': -84}
  • id: 12722362
    {'hecke_orbit_code': 1305703612568, 'n': 59, 'trace_an': 0}
  • id: 12722363
    {'hecke_orbit_code': 1305703612568, 'n': 60, 'trace_an': 30}
  • id: 12722364
    {'hecke_orbit_code': 1305703612568, 'n': 61, 'trace_an': 0}
  • id: 12722365
    {'hecke_orbit_code': 1305703612568, 'n': 62, 'trace_an': -6}
  • id: 12722366
    {'hecke_orbit_code': 1305703612568, 'n': 63, 'trace_an': 30}
  • id: 12722367
    {'hecke_orbit_code': 1305703612568, 'n': 64, 'trace_an': 3}
  • id: 12722368
    {'hecke_orbit_code': 1305703612568, 'n': 65, 'trace_an': -6}
  • id: 12722369
    {'hecke_orbit_code': 1305703612568, 'n': 66, 'trace_an': 54}
  • id: 12722370
    {'hecke_orbit_code': 1305703612568, 'n': 67, 'trace_an': 0}
  • id: 12722371
    {'hecke_orbit_code': 1305703612568, 'n': 68, 'trace_an': 36}
  • id: 12722372
    {'hecke_orbit_code': 1305703612568, 'n': 69, 'trace_an': 0}
  • id: 12722373
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  • id: 12722374
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  • id: 12722375
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  • id: 12722376
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  • id: 12722377
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  • id: 12722378
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  • id: 12722379
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  • id: 12722380
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  • id: 12722381
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  • id: 12722382
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  • id: 12722383
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  • id: 12722384
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  • id: 12722385
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  • id: 12722386
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  • id: 12722387
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  • id: 12722388
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  • id: 12722389
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  • id: 12722390
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  • id: 12722391
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  • id: 12722392
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  • id: 12722393
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  • id: 12722394
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  • id: 12722395
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  • id: 12722396
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  • id: 12722397
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  • id: 12722398
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  • id: 12722399
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  • id: 12722400
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  • id: 12722401
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  • id: 12722402
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  • id: 12722403
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  • id: 12722404
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  • id: 12722405
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  • id: 12722406
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  • id: 12722407
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  • id: 12722408
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  • id: 12722409
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  • id: 12722410
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  • id: 12722411
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  • id: 12722412
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  • id: 12722413
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  • id: 12722414
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  • id: 12722415
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  • id: 12722416
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  • id: 12722417
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  • id: 12722418
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  • id: 12722419
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  • id: 12722420
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  • id: 12722421
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  • id: 12722422
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  • id: 12722423
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  • id: 12722424
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  • id: 12722425
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  • id: 12722426
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  • id: 12722427
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  • id: 12722428
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  • id: 12722429
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  • id: 12722430
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  • id: 12722431
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  • id: 12722432
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  • id: 12722433
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  • id: 12722434
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  • id: 12722435
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  • id: 12722436
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  • id: 12722437
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  • id: 12722438
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  • id: 12722439
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  • id: 12722440
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  • id: 12722441
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  • id: 12722442
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  • id: 12722443
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  • id: 12722444
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  • id: 12722445
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  • id: 12722446
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  • id: 12722447
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  • id: 12722448
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  • id: 12722449
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  • id: 12722450
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  • id: 12722451
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  • id: 12722452
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  • id: 12722453
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  • id: 12722454
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  • id: 12722455
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  • id: 12722456
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  • id: 12722457
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  • id: 12722458
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  • id: 12722459
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  • id: 12722460
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  • id: 12722461
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  • id: 12722462
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  • id: 12722463
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  • id: 12722464
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  • id: 12722465
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  • id: 12722466
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  • id: 12722467
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  • id: 12722468
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  • id: 12722469
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  • id: 12722470
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  • id: 12722471
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  • id: 12722472
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  • id: 12722473
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  • id: 12722474
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  • id: 12722475
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  • id: 12722476
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  • id: 12722477
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  • id: 12722478
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  • id: 12722479
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  • id: 12722480
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  • id: 12722481
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  • id: 12722482
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  • id: 12722483
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  • id: 12722484
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  • id: 12722485
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  • id: 12722486
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  • id: 12722487
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  • id: 12722488
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  • id: 12722489
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  • id: 12722490
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  • id: 12722491
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  • id: 12722492
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  • id: 12722493
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  • id: 12722494
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  • id: 12722495
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  • id: 12722496
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  • id: 12722497
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  • id: 12722498
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  • id: 12722499
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  • id: 12722500
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  • id: 12722501
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  • id: 12722502
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  • id: 12722503
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  • id: 12722504
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  • id: 12722505
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  • id: 12722506
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  • id: 12722507
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  • id: 12722508
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  • id: 12722509
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  • id: 12722510
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  • id: 12722511
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  • id: 12722512
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  • id: 12722513
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  • id: 12722514
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  • id: 12722515
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  • id: 12722516
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  • id: 12722517
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  • id: 12722518
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  • id: 12722519
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  • id: 12722520
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  • id: 12722521
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  • id: 12722522
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  • id: 12722523
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  • id: 12722524
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  • id: 12722525
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  • id: 12722526
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  • id: 12722527
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  • id: 12722528
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  • id: 12722529
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  • id: 12722530
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  • id: 12722531
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  • id: 12722532
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  • id: 12722533
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  • id: 12722534
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  • id: 12722535
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  • id: 12722536
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  • id: 12722537
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  • id: 12722538
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  • id: 12722539
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  • id: 12722540
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  • id: 12722541
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  • id: 12722542
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  • id: 12722543
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  • id: 12722544
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  • id: 12722545
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  • id: 12722546
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  • id: 12722547
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  • id: 12722548
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  • id: 12722549
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  • id: 12722550
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  • id: 12722551
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  • id: 12722552
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  • id: 12722553
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  • id: 12722554
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  • id: 12722555
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  • id: 12722556
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  • id: 12722557
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  • id: 12722558
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  • id: 12722559
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  • id: 12722560
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  • id: 12722561
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