Embedded newform data - 132.3.m.a.113.3

Formats: - HTML - YAML - JSON - 2025-09-17T02:57:06.819861

• 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': 1188, 'analytic_conductor': 3.5967394895559193, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 33, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 13, 'char_orbit_label': 'm', 'char_order': 10, 'char_parity': -1, 'char_values': [132, 10, [67, 89, 13], [10, 5, 4]], 'cm_discs': [], 'conrey_index': 5, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 824684052612, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 11, 3, 1, 5, 0], [1, 1, 33, 8, -1, 10, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '132.3.m.a', 'level': 132, '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, 11], 'level_radical': 66, 'minimal_twist': '132.3.m.a', 'prim_orbit_index': 8, 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '2.2.3.c10', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '132.3.m', 'trace_display': [0, 5, 0, -8], 'traces': [32, 0, 5, 0, 0, 0, -8, 0, -7, 0, 0, 0, -4, 0, 29, 0, 0, 0, 56, 0, 2, 0, 0, 0, 20, 0, 47, 0, 0, 0, -40, 0, 36, 0, 0, 0, -120, 0, -109, 0, 0, 0, -100, 0, 34, 0, 0, 0, -176, 0, -124, 0, 0, 0, -246, 0, -310, 0, 0, 0, 120, 0, -325, 0, 0, 0, 88, 0, 70, 0, 0, 0, 280, 0, 282, 0, 0, 0, 512, 0, 573, 0, 0, 0, 740, 0, 354, 0, 0, 0, 156, 0, 563, 0, 0, 0, -62, 0, 515, 0, 0, 0, -698, 0, -682, 0, 0, 0, -1032, 0, -114, 0, 0, 0, -690, 0, -393, 0, 0, 0, -256, 0, -1231, 0, 0, 0, 686, 0, -1297, 0, 0, 0, 136, 0, 221, 0, 0, 0, 1108, 0, 577, 0, 0, 0, 1152, 0, 1496, 0, 0, 0, 1208, 0, 844, 0, 0, 0, -470, 0, 295, 0, 0, 0, -182, 0, 863, 0, 0, 0, -2064, 0, -1368, 0, 0, 0, -2708, 0, -406, 0, 0, 0, -1368, 0, -1319, 0, 0, 0, -1490, 0, -2097, 0, 0, 0, 1044, 0, -1938, 0, 0, 0, 68, 0, 513, 0, 0, 0, 1622, 0, 1238, 0, 0, 0, 3048, 0, 2561, 0, 0, 0, 3242, 0, 2380, 0, 0, 0, 962, 0, 1966, 0, 0, 0, -1214, 0, 2244, 0, 0, 0, -2824, 0, -1989, 0, 0, 0, -1016, 0, 900, 0, 0, 0, -748, 0, -1162, 0, 0, 0, -886, 0, -3779, 0, 0, 0, 2584, 0, -3457, 0, 0, 0, 1468, 0, -261, 0, 0, 0, 1534, 0, 798, 0, 0, 0, 2618, 0, 2793, 0, 0, 0, 3150, 0, 2274, 0, 0, 0, -2058, 0, 1477, 0, 0, 0, -1760, 0, 486, 0, 0, 0, -2806, 0, -2019, 0, 0, 0, -2952, 0, -1558, 0, 0, 0, -3540, 0, -3102, 0, 0, 0, -3840, 0, -2695, 0, 0, 0, 2214, 0, -3696, 0, 0, 0, -2004, 0, 1089, 0, 0, 0, 560, 0, 1326, 0, 0, 0, 5122, 0, 4818, 0, 0, 0, 3256, 0, 3318, 0, 0, 0, -192, 0, 3938, 0, 0, 0, -1508, 0, 3312, 0, 0, 0, -4476, 0, -2356, 0, 0, 0, -624, 0, 14, 0, 0, 0, -198, 0, -1731, 0, 0, 0, -748, 0, -4393, 0, 0, 0, 3304, 0, -4293, 0, 0, 0, 1152, 0, -909, 0, 0, 0, 3432, 0, 149, 0, 0, 0, 2362, 0, 2846, 0, 0, 0, 3802, 0, 3214, 0, 0, 0, 110, 0, 287, 0, 0, 0, -3328, 0, 447, 0, 0, 0, -4296, 0, -2956, 0, 0, 0, -3028, 0, -1718, 0, 0, 0, -3570, 0, -2383, 0, 0, 0, -4442, 0, -3013, 0, 0, 0, 4724, 0, -2207, 0, 0, 0, 2736, 0, 1630, 0, 0, 0, 1052, 0, 3527, 0, 0, 0, 6162, 0, 4105, 0, 0, 0, 5308, 0, 4356, 0, 0, 0, 332, 0, 4422, 0, 0, 0, 1066, 0, 5398, 0, 0, 0, -1326, 0, -1215, 0, 0, 0, 356, 0, 1622, 0, 0, 0, -968, 0, -593, 0, 0, 0, 1924, 0, -4535, 0, 0, 0, 954, 0, -5893, 0, 0, 0, -3008, 0, -2081, 0, 0, 0, 1012, 0, -1118, 0, 0, 0, 2208, 0, 2373, 0, 0, 0, -106, 0, -998, 0, 0, 0, -6122, 0, -288, 0, 0, 0, -3954, 0, -1069, 0, 0, 0, -7882, 0, -3593, 0, 0, 0, -7524, 0, -2030, 0, 0, 0, -4096, 0, -4143, 0, 0, 0, -4504, 0, -839, 0, 0, 0, -1436, 0, -1304, 0, 0, 0, -1276, 0, 2612, 0, 0, 0, 2956, 0, 1979, 0, 0, 0, 3842, 0, 3443, 0, 0, 0, 4450, 0, 3330, 0, 0, 0, 5922, 0, 4284, 0, 0, 0, 650, 0, 2148, 0, 0, 0, 1682, 0, 555, 0, 0, 0, 2528, 0, 2798, 0, 0, 0, 2628, 0, 1160, 0, 0, 0, 2144, 0, -4196, 0, 0, 0, 6584, 0, -3106, 0, 0, 0, 4852, 0, -2472, 0, 0, 0, 2188, 0, -871, 0, 0, 0, -1168, 0, -596, 0, 0, 0, 1568, 0, -1134, 0, 0, 0, -3546, 0, -3607, 0, 0, 0, 258, 0, -1969, 0, 0, 0, 394, 0, -925, 0, 0, 0, -3136, 0, -5570, 0, 0, 0, -4434, 0, -1257, 0, 0, 0, -2818, 0, 2711, 0, 0, 0, -1654, 0, 2085, 0, 0, 0, -8316, 0, 3869, 0, 0, 0, -3214, 0, 4142, 0, 0, 0, 3740, 0, 2285, 0, 0, 0, -2028, 0, 7726, 0, 0, 0, 1006, 0, 1463, 0, 0, 0, 2240, 0, 5194, 0, 0, 0, -1388, 0, 673, 0, 0, 0, 5104, 0, 4548, 0, 0, 0, 6960, 0, 3473, 0, 0, 0, 3338, 0, -2237, 0, 0, 0, -1686, 0, 458, 0, 0, 0, 6080, 0, -3708, 0, 0, 0, 2542, 0, -4335, 0, 0, 0, -6094, 0, -3547, 0, 0, 0, -4228, 0, -5934, 0, 0, 0, 3506, 0, -5229, 0, 0, 0, -5352, 0, -5824, 0, 0, 0, 1544, 0, 943, 0, 0, 0, -3304, 0, -1566, 0, 0, 0, 32, 0, -4750, 0, 0, 0, -4730, 0, 5495, 0, 0, 0, -888, 0, 4850, 0, 0, 0, 3596, 0, 4015, 0, 0, 0, -5922, 0, -226, 0, 0, 0, 190, 0, -1294, 0, 0, 0, 3112, 0, -4642, 0, 0, 0, -486, 0, 4182, 0, 0, 0, 7546, 0, 305, 0, 0, 0, 9494, 0, 1090, 0, 0, 0, 2176, 0, 2652, 0, 0, 0, 1292, 0, 5935, 0, 0, 0, 6636, 0, 455, 0, 0, 0, -5752, 0, 2215, 0, 0, 0, -5908, 0, -5293, 0, 0, 0, -286, 0, -4233, 0, 0, 0, -12342, 0, -6906, 0, 0, 0, -10674, 0, -8338, 0, 0, 0, -9206, 0, -8441, 0, 0, 0, 728, 0, -11194, 0, 0, 0, -3028, 0, 1760, 0, 0, 0, -5168, 0, -2256, 0, 0, 0, -3898, 0, 3256, 0, 0, 0, -658, 0, 8796, 0, 0, 0, -11032, 0, 7205, 0, 0, 0, 2832, 0, 4213, 0, 0, 0, -1046, 0, 4409, 0], 'weight': 3, 'weight_parity': -1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-0.5049848678318755, -0.8631281963073755], [0.0, 0.0], [-0.7891812286222856, 1.0862147750509417], [0.0, 0.0], [-0.13362892384787417, 0.41126753901704793], [0.0, 0.0], [-0.48998056652164657, 0.8717333562684901], [0.0, 0.0], [0.5657195694699277, 0.8245977011359901], [0.0, 0.0], [-0.010017820712225466, 0.007278372785364755], [0.0, 0.0], [1.3360671780233628, 0.13264254580426174], [0.0, 0.0], [-0.8442153420498354, 1.161962733781781], [0.0, 0.0], [-0.01012096367250204, -0.031149123275208322], [0.0, 0.0], [0.4224571935993922, -0.09234499181875337], [0.0, 0.0], [0.0, -0.26482997527750907], [0.0, 0.0], [-0.2480385315542402, -0.7633841051496096], [0.0, 0.0], [0.9998504110821177, -0.017296111092385876], [0.0, 0.0], [-1.7122438778265008, -0.5563417606600403], [0.0, 0.0], [-1.1646519773814366, 0.8461691918931513], [0.0, 0.0], [0.42605370444203844, -0.90469787273499], [0.0, 0.0], [-0.3412674390774179, -0.4697143331916557], [0.0, 0.0], [0.25708017747539463, -0.7912114299501145], [0.0, 0.0], [0.01134101664261117, 0.004971195403225294], [0.0, 0.0], [0.0439301638474507, -0.014273775492775484], [0.0, 0.0], [1.8498476767325427, 0.0], [0.0, 0.0], [-0.5602061859949838, -1.2201797319746388], [0.0, 0.0], [0.29898803893366627, -0.09714710278759922], [0.0, 0.0], [0.6577326950145493, 0.4778707749876497], [0.0, 0.0], [1.4292387715121335, 0.14189246793413104], [0.0, 0.0], [-0.5292295663999221, -0.7284220069716513], [0.0, 0.0], [-1.342145471336901, -0.036264072007919784], [0.0, 0.0], [-0.02177475308659699, 0.024465525019749027], [0.0, 0.0], [0.35347511187888686, 0.1148510259775805], [0.0, 0.0], [0.8178587898416048, 0.5942091927229247], [0.0, 0.0], [-0.29304005630095403, -0.31800189203999035], [0.0, 0.0], [0.0, -0.01662546004855581], [0.0, 0.0], [-0.8406591986096328, 0.0], [0.0, 0.0], [-0.22858221888940322, 0.13373513006343177], [0.0, 0.0], [-0.74640980878372, 1.027344966072258], [0.0, 0.0], [-0.2982213035369841, 0.9178307963307203], [0.0, 0.0], [-0.533642640693372, 0.5995864717990715], [0.0, 0.0], [-0.41472676449326296, 0.12247199169944774], [0.0, 0.0], [1.0111297165491444, -0.7346287404029593], [0.0, 0.0], [-0.5198380888622526, -0.8542648075205023], [0.0, 0.0], [0.7329351116205387, -1.008798636513031], [0.0, 0.0], [-0.5959021886316824, -1.8339983557184314], [0.0, 0.0], [0.38446298793118333, 1.7588301403829971], [0.0, 0.0], [0.0, 1.8594043800474687], [0.0, 0.0], [-0.0016546878624099858, -0.005092605593302924], [0.0, 0.0], [1.3184841132377023, 0.5779413230314897], [0.0, 0.0], [0.04182191247732114, 0.013588763098010378], [0.0, 0.0], [-0.8161522276251816, 0.5929693026960061], [0.0, 0.0], [-0.9960209167238151, 0.08911977024572552], [0.0, 0.0], [0.8780033317409026, 1.2084679119216324], [0.0, 0.0], [0.06394148979206053, -0.19679167047548424], [0.0, 0.0], [-0.23308879256960285, 0.5317561796148546], [0.0, 0.0], [1.0485464064757637, -0.3406933798782107], [0.0, 0.0], [-0.930102283609869, 0.0], [0.0, 0.0], [-0.8127384938752289, 0.17765664948971038], [0.0, 0.0], [1.2571385387032035, -0.40846907211812467], [0.0, 0.0], [0.28766223202280594, 0.2089988452655141], [0.0, 0.0], [-0.0014362628684707378, -0.012299129692693058], [0.0, 0.0], [-0.36506596629796983, -0.5024701957918645], [0.0, 0.0], [-0.35992273743751924, 0.9329821129450889], [0.0, 0.0], [-0.03450416607991325, -0.030709322454456504], [0.0, 0.0], [-0.25197560406406894, -0.08187183673060036], [0.0, 0.0], [1.242879042155227, 0.9030044812923401], [0.0, 0.0], [-0.934145084543885, -1.5966556886615486], [0.0, 0.0], [0.0, -1.0108406170714692], [0.0, 0.0], [0.01416307675579345, 0.0], [0.0, 0.0], [-0.7702758844368109, 1.0997020555604307], [0.0, 0.0], [0.3311783237514895, -0.45582785726349917], [0.0, 0.0], [0.0333353277996907, -0.10259558957544862], [0.0, 0.0], [-0.23483483892977683, -0.20900718990084932], [0.0, 0.0], [-0.011669006687169645, -0.004143154011115438], [0.0, 0.0], [1.955577367610895, -1.4208101243740885], [0.0, 0.0], [0.08031868202247232, -0.8090251448481512], [0.0, 0.0], [0.02027009660484995, -0.027899394493119588], [0.0, 0.0], [-0.34730672543747093, -1.06890019122915], [0.0, 0.0], [-0.5992725622146582, -1.3052698321138927], [0.0, 0.0], [0.0, -1.9328430281045752], [0.0, 0.0], [0.10219020931760273, 0.3145091248772791], [0.0, 0.0], [-0.36146865038685444, 0.824635051995708], [0.0, 0.0], [0.1089159721903268, 0.03538894459899265], [0.0, 0.0], [-0.4829419152985834, 0.35087784002078365], [0.0, 0.0], [0.6464626103912585, 1.1767564074670966], [0.0, 0.0], [-0.5713122213461443, -0.7863438124050584], [0.0, 0.0], [-0.3089696123535279, 0.9509106894278725], [0.0, 0.0], [0.03211280529151585, 0.006439683438137513], [0.0, 0.0], [1.0899594878716288, -0.35414930570542374], [0.0, 0.0], [0.3471002242940114, 0.0], [0.0, 0.0], [-0.07936842375793648, -0.3630923659292151], [0.0, 0.0], [-1.0360794537026585, 0.3366426213702233], [0.0, 0.0], [-0.10633966031559247, -0.07726028563292191], [0.0, 0.0], [0.09987239585089926, 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[0.0, 0.0], [-0.23566119252369686, -0.4027958717177709], [0.0, 0.0], [0.6434832384937135, -0.8856786955889876], [0.0, 0.0], [0.4118243369693564, -1.2674649820987023], [0.0, 0.0], [0.24335684033985444, -0.7955395607977569], [0.0, 0.0]], 'angles': [None, None, 0.21713567582143534, -0.4846857927238132, None, -0.3509853908402715, 0.22750141002486143, -0.05260644791641807, -0.4788634233611838, -0.37828255970295666, -0.4778819921347539, -0.3817220329686281, -0.29632391749651227, -0.06206424091564988, -0.2748786794291126, -0.17432179576096887, -0.17025084991755257, -0.06566057288116273, -0.31904277282562293, 0.20948638192493468, 0.13014143151052313, -0.24256731163094516, -0.2928607982096438, 0.1899678871135864, -0.43414495142540127, 0.034223155152445776, -0.4335043910164064, -0.20707486471685846, -0.32698203308008983, -0.18508379468835867, -0.010590865172036442, -0.4156687295705179, -0.3545480169666051, -0.44141138159578236, -0.397255591272396, -0.45502487822918836, -0.023562759809057844, 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19, 'hecke_orbit': 1, 'hecke_orbit_code': 824684052612, 'label': '132.3.m.a.113.3', 'level': 132, 'weight': 3}
• 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': 1188, 'analytic_conductor': 3.5967394895559193, 'char_conductor': 33, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 13, 'char_orbit_label': 'm', 'char_order': 10, 'char_parity': -1, 'char_values': [132, 10, [67, 89, 13], [10, 5, 4]], 'conrey_index': 5, 'cusp_dim': 168, 'dim': 32, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 824684052612, 'hecke_orbit_dims': [32], 'label': '132.3.m', 'level': 132, '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, 11], 'level_radical': 66, 'mf_dim': 216, 'mf_new_dim': 32, 'num_forms': 1, 'prim_orbit_index': 8, 'relative_dim': 8, 'sturm_bound': 72, 'trace_bound': 0, 'trace_display': [0, 5, 0, -8], 'traces': [32, 0, 5, 0, 0, 0, -8, 0, -7, 0, 0, 0, -4, 0, 29, 0, 0, 0, 56, 0, 2, 0, 0, 0, 20, 0, 47, 0, 0, 0, -40, 0, 36, 0, 0, 0, -120, 0, -109, 0, 0, 0, -100, 0, 34, 0, 0, 0, -176, 0, -124, 0, 0, 0, -246, 0, -310, 0, 0, 0, 120, 0, -325, 0, 0, 0, 88, 0, 70, 0, 0, 0, 280, 0, 282, 0, 0, 0, 512, 0, 573, 0, 0, 0, 740, 0, 354, 0, 0, 0, 156, 0, 563, 0, 0, 0, -62, 0, 515, 0, 0, 0, -698, 0, -682, 0, 0, 0, -1032, 0, -114, 0, 0, 0, -690, 0, -393, 0, 0, 0, -256, 0, -1231, 0, 0, 0, 686, 0, -1297, 0, 0, 0, 136, 0, 221, 0, 0, 0, 1108, 0, 577, 0, 0, 0, 1152, 0, 1496, 0, 0, 0, 1208, 0, 844, 0, 0, 0, -470, 0, 295, 0, 0, 0, -182, 0, 863, 0, 0, 0, -2064, 0, -1368, 0, 0, 0, -2708, 0, -406, 0, 0, 0, -1368, 0, -1319, 0, 0, 0, -1490, 0, -2097, 0, 0, 0, 1044, 0, -1938, 0, 0, 0, 68, 0, 513, 0, 0, 0, 1622, 0, 1238, 0, 0, 0, 3048, 0, 2561, 0, 0, 0, 3242, 0, 2380, 0, 0, 0, 962, 0, 1966, 0, 0, 0, -1214, 0, 2244, 0, 0, 0, -2824, 0, -1989, 0, 0, 0, -1016, 0, 900, 0, 0, 0, -748, 0, -1162, 0, 0, 0, -886, 0, -3779, 0, 0, 0, 2584, 0, -3457, 0, 0, 0, 1468, 0, -261, 0, 0, 0, 1534, 0, 798, 0, 0, 0, 2618, 0, 2793, 0, 0, 0, 3150, 0, 2274, 0, 0, 0, -2058, 0, 1477, 0, 0, 0, -1760, 0, 486, 0, 0, 0, -2806, 0, -2019, 0, 0, 0, -2952, 0, -1558, 0, 0, 0, -3540, 0, -3102, 0, 0, 0, -3840, 0, -2695, 0, 0, 0, 2214, 0, -3696, 0, 0, 0, -2004, 0, 1089, 0, 0, 0, 560, 0, 1326, 0, 0, 0, 5122, 0, 4818, 0, 0, 0, 3256, 0, 3318, 0, 0, 0, -192, 0, 3938, 0, 0, 0, -1508, 0, 3312, 0, 0, 0, -4476, 0, -2356, 0, 0, 0, -624, 0, 14, 0, 0, 0, -198, 0, -1731, 0, 0, 0, -748, 0, -4393, 0, 0, 0, 3304, 0, -4293, 0, 0, 0, 1152, 0, -909, 0, 0, 0, 3432, 0, 149, 0, 0, 0, 2362, 0, 2846, 0, 0, 0, 3802, 0, 3214, 0, 0, 0, 110, 0, 287, 0, 0, 0, -3328, 0, 447, 0, 0, 0, -4296, 0, -2956, 0, 0, 0, -3028, 0, -1718, 0, 0, 0, -3570, 0, -2383, 0, 0, 0, -4442, 0, -3013, 0, 0, 0, 4724, 0, -2207, 0, 0, 0, 2736, 0, 1630, 0, 0, 0, 1052, 0, 3527, 0, 0, 0, 6162, 0, 4105, 0, 0, 0, 5308, 0, 4356, 0, 0, 0, 332, 0, 4422, 0, 0, 0, 1066, 0, 5398, 0, 0, 0, -1326, 0, -1215, 0, 0, 0, 356, 0, 1622, 0, 0, 0, -968, 0, -593, 0, 0, 0, 1924, 0, -4535, 0, 0, 0, 954, 0, -5893, 0, 0, 0, -3008, 0, -2081, 0, 0, 0, 1012, 0, -1118, 0, 0, 0, 2208, 0, 2373, 0, 0, 0, -106, 0, -998, 0, 0, 0, -6122, 0, -288, 0, 0, 0, -3954, 0, -1069, 0, 0, 0, -7882, 0, -3593, 0, 0, 0, -7524, 0, -2030, 0, 0, 0, -4096, 0, -4143, 0, 0, 0, -4504, 0, -839, 0, 0, 0, -1436, 0, -1304, 0, 0, 0, -1276, 0, 2612, 0, 0, 0, 2956, 0, 1979, 0, 0, 0, 3842, 0, 3443, 0, 0, 0, 4450, 0, 3330, 0, 0, 0, 5922, 0, 4284, 0, 0, 0, 650, 0, 2148, 0, 0, 0, 1682, 0, 555, 0, 0, 0, 2528, 0, 2798, 0, 0, 0, 2628, 0, 1160, 0, 0, 0, 2144, 0, -4196, 0, 0, 0, 6584, 0, -3106, 0, 0, 0, 4852, 0, -2472, 0, 0, 0, 2188, 0, -871, 0, 0, 0, -1168, 0, -596, 0, 0, 0, 1568, 0, -1134, 0, 0, 0, -3546, 0, -3607, 0, 0, 0, 258, 0, -1969, 0, 0, 0, 394, 0, -925, 0, 0, 0, -3136, 0, -5570, 0, 0, 0, -4434, 0, -1257, 0, 0, 0, -2818, 0, 2711, 0, 0, 0, -1654, 0, 2085, 0, 0, 0, -8316, 0, 3869, 0, 0, 0, -3214, 0, 4142, 0, 0, 0, 3740, 0, 2285, 0, 0, 0, -2028, 0, 7726, 0, 0, 0, 1006, 0, 1463, 0, 0, 0, 2240, 0, 5194, 0, 0, 0, -1388, 0, 673, 0, 0, 0, 5104, 0, 4548, 0, 0, 0, 6960, 0, 3473, 0, 0, 0, 3338, 0, -2237, 0, 0, 0, -1686, 0, 458, 0, 0, 0, 6080, 0, -3708, 0, 0, 0, 2542, 0, -4335, 0, 0, 0, -6094, 0, -3547, 0, 0, 0, -4228, 0, -5934, 0, 0, 0, 3506, 0, -5229, 0, 0, 0, -5352, 0, -5824, 0, 0, 0, 1544, 0, 943, 0, 0, 0, -3304, 0, -1566, 0, 0, 0, 32, 0, -4750, 0, 0, 0, -4730, 0, 5495, 0, 0, 0, -888, 0, 4850, 0, 0, 0, 3596, 0, 4015, 0, 0, 0, -5922, 0, -226, 0, 0, 0, 190, 0, -1294, 0, 0, 0, 3112, 0, -4642, 0, 0, 0, -486, 0, 4182, 0, 0, 0, 7546, 0, 305, 0, 0, 0, 9494, 0, 1090, 0, 0, 0, 2176, 0, 2652, 0, 0, 0, 1292, 0, 5935, 0, 0, 0, 6636, 0, 455, 0, 0, 0, -5752, 0, 2215, 0, 0, 0, -5908, 0, -5293, 0, 0, 0, -286, 0, -4233, 0, 0, 0, -12342, 0, -6906, 0, 0, 0, -10674, 0, -8338, 0, 0, 0, -9206, 0, -8441, 0, 0, 0, 728, 0, -11194, 0, 0, 0, -3028, 0, 1760, 0, 0, 0, -5168, 0, -2256, 0, 0, 0, -3898, 0, 3256, 0, 0, 0, -658, 0, 8796, 0, 0, 0, -11032, 0, 7205, 0, 0, 0, 2832, 0, 4213, 0, 0, 0, -1046, 0, 4409, 0], 'weight': 3, '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: 10525713
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 113, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 824684052612, 'source_is_minimal': True, 'source_label': '132.3.m.a.113.3', 'source_level': 132, 'target_conrey_index': 113, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 824684052612, 'target_is_minimal': True, 'target_label': '132.3.m.a.113.3', 'target_level': 132, 'twist_class_label': '132.3.m.a.113.3', 'twist_class_level': 132, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 10525714
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 113, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 824684052612, 'source_is_minimal': True, 'source_label': '132.3.m.a.113.3', 'source_level': 132, 'target_conrey_index': 113, 'target_dim': 32, 'target_embedding_index': 4, 'target_hecke_orbit_code': 824684052612, 'target_is_minimal': True, 'target_label': '132.3.m.a.113.4', 'target_level': 132, 'twist_class_label': '132.3.m.a.113.3', 'twist_class_level': 132, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 10525715
    {'conductor': 11, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 113, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 824684052612, 'source_is_minimal': True, 'source_label': '132.3.m.a.113.3', 'source_level': 132, 'target_conrey_index': 485, 'target_dim': 16, 'target_embedding_index': 2, 'target_hecke_orbit_code': 54043470456685996, 'target_is_minimal': False, 'target_label': '1452.3.e.m.485.2', 'target_level': 1452, 'twist_class_label': '132.3.m.a.113.3', 'twist_class_level': 132, 'twisting_char_label': '11.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 10525716
    {'conductor': 11, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 113, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 824684052612, 'source_is_minimal': True, 'source_label': '132.3.m.a.113.3', 'source_level': 132, 'target_conrey_index': 125, 'target_dim': 32, 'target_embedding_index': 4, 'target_hecke_orbit_code': 824684052612, 'target_is_minimal': True, 'target_label': '132.3.m.a.125.4', 'target_level': 132, 'twist_class_label': '132.3.m.a.113.3', 'twist_class_level': 132, 'twisting_char_label': '11.4', 'twisting_conrey_index': 4, 'weight': 3}
  • id: 10525717
    {'conductor': 11, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 113, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 824684052612, 'source_is_minimal': True, 'source_label': '132.3.m.a.113.3', 'source_level': 132, 'target_conrey_index': 485, 'target_dim': 16, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49539870829315500, 'target_is_minimal': False, 'target_label': '1452.3.e.l.485.2', 'target_level': 1452, 'twist_class_label': '132.3.m.a.113.3', 'twist_class_level': 132, 'twisting_char_label': '11.9', 'twisting_conrey_index': 9, 'weight': 3}
  • id: 10525718
    {'conductor': 33, 'degree': 4, 'order': 10, 'parity': 1, 'source_conrey_index': 113, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 824684052612, 'source_is_minimal': True, 'source_label': '132.3.m.a.113.3', 'source_level': 132, 'target_conrey_index': 485, 'target_dim': 16, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043470456685996, 'target_is_minimal': False, 'target_label': '1452.3.e.m.485.1', 'target_level': 1452, 'twist_class_label': '132.3.m.a.113.3', 'twist_class_level': 132, 'twisting_char_label': '33.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 10525719
    {'conductor': 33, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 113, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 824684052612, 'source_is_minimal': True, 'source_label': '132.3.m.a.113.3', 'source_level': 132, 'target_conrey_index': 485, 'target_dim': 16, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539870829315500, 'target_is_minimal': False, 'target_label': '1452.3.e.l.485.1', 'target_level': 1452, 'twist_class_label': '132.3.m.a.113.3', 'twist_class_level': 132, 'twisting_char_label': '33.20', 'twisting_conrey_index': 20, 'weight': 3}
  • id: 10525720
    {'conductor': 33, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 113, 'source_dim': 32, 'source_embedding_index': 3, 'source_hecke_orbit_code': 824684052612, 'source_is_minimal': True, 'source_label': '132.3.m.a.113.3', 'source_level': 132, 'target_conrey_index': 125, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 824684052612, 'target_is_minimal': True, 'target_label': '132.3.m.a.125.3', 'target_level': 132, 'twist_class_label': '132.3.m.a.113.3', 'twist_class_level': 132, 'twisting_char_label': '33.26', 'twisting_conrey_index': 26, 'weight': 3}
• hecke_orbit_code 824684052612 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': 13, 'hecke_orbit': 1, 'label': '132.3.m.a', 'level': 132, 'portrait': 'data:image/png;base64,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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 11300466
    {'hecke_orbit_code': 824684052612, 'n': 1, 'trace_an': 32}
  • id: 11300467
    {'hecke_orbit_code': 824684052612, 'n': 2, 'trace_an': 0}
  • id: 11300468
    {'hecke_orbit_code': 824684052612, 'n': 3, 'trace_an': 5}
  • id: 11300469
    {'hecke_orbit_code': 824684052612, 'n': 4, 'trace_an': 0}
  • id: 11300470
    {'hecke_orbit_code': 824684052612, 'n': 5, 'trace_an': 0}
  • id: 11300471
    {'hecke_orbit_code': 824684052612, 'n': 6, 'trace_an': 0}
  • id: 11300472
    {'hecke_orbit_code': 824684052612, 'n': 7, 'trace_an': -8}
  • id: 11300473
    {'hecke_orbit_code': 824684052612, 'n': 8, 'trace_an': 0}
  • id: 11300474
    {'hecke_orbit_code': 824684052612, 'n': 9, 'trace_an': -7}
  • id: 11300475
    {'hecke_orbit_code': 824684052612, 'n': 10, 'trace_an': 0}
  • id: 11300476
    {'hecke_orbit_code': 824684052612, 'n': 11, 'trace_an': 0}
  • id: 11300477
    {'hecke_orbit_code': 824684052612, 'n': 12, 'trace_an': 0}
  • id: 11300478
    {'hecke_orbit_code': 824684052612, 'n': 13, 'trace_an': -4}
  • id: 11300479
    {'hecke_orbit_code': 824684052612, 'n': 14, 'trace_an': 0}
  • id: 11300480
    {'hecke_orbit_code': 824684052612, 'n': 15, 'trace_an': 29}
  • id: 11300481
    {'hecke_orbit_code': 824684052612, 'n': 16, 'trace_an': 0}
  • id: 11300482
    {'hecke_orbit_code': 824684052612, 'n': 17, 'trace_an': 0}
  • id: 11300483
    {'hecke_orbit_code': 824684052612, 'n': 18, 'trace_an': 0}
  • id: 11300484
    {'hecke_orbit_code': 824684052612, 'n': 19, 'trace_an': 56}
  • id: 11300485
    {'hecke_orbit_code': 824684052612, 'n': 20, 'trace_an': 0}
  • id: 11300486
    {'hecke_orbit_code': 824684052612, 'n': 21, 'trace_an': 2}
  • id: 11300487
    {'hecke_orbit_code': 824684052612, 'n': 22, 'trace_an': 0}
  • id: 11300488
    {'hecke_orbit_code': 824684052612, 'n': 23, 'trace_an': 0}
  • id: 11300489
    {'hecke_orbit_code': 824684052612, 'n': 24, 'trace_an': 0}
  • id: 11300490
    {'hecke_orbit_code': 824684052612, 'n': 25, 'trace_an': 20}
  • id: 11300491
    {'hecke_orbit_code': 824684052612, 'n': 26, 'trace_an': 0}
  • id: 11300492
    {'hecke_orbit_code': 824684052612, 'n': 27, 'trace_an': 47}
  • id: 11300493
    {'hecke_orbit_code': 824684052612, 'n': 28, 'trace_an': 0}
  • id: 11300494
    {'hecke_orbit_code': 824684052612, 'n': 29, 'trace_an': 0}
  • id: 11300495
    {'hecke_orbit_code': 824684052612, 'n': 30, 'trace_an': 0}
  • id: 11300496
    {'hecke_orbit_code': 824684052612, 'n': 31, 'trace_an': -40}
  • id: 11300497
    {'hecke_orbit_code': 824684052612, 'n': 32, 'trace_an': 0}
  • id: 11300498
    {'hecke_orbit_code': 824684052612, 'n': 33, 'trace_an': 36}
  • id: 11300499
    {'hecke_orbit_code': 824684052612, 'n': 34, 'trace_an': 0}
  • id: 11300500
    {'hecke_orbit_code': 824684052612, 'n': 35, 'trace_an': 0}
  • id: 11300501
    {'hecke_orbit_code': 824684052612, 'n': 36, 'trace_an': 0}
  • id: 11300502
    {'hecke_orbit_code': 824684052612, 'n': 37, 'trace_an': -120}
  • id: 11300503
    {'hecke_orbit_code': 824684052612, 'n': 38, 'trace_an': 0}
  • id: 11300504
    {'hecke_orbit_code': 824684052612, 'n': 39, 'trace_an': -109}
  • id: 11300505
    {'hecke_orbit_code': 824684052612, 'n': 40, 'trace_an': 0}
  • id: 11300506
    {'hecke_orbit_code': 824684052612, 'n': 41, 'trace_an': 0}
  • id: 11300507
    {'hecke_orbit_code': 824684052612, 'n': 42, 'trace_an': 0}
  • id: 11300508
    {'hecke_orbit_code': 824684052612, 'n': 43, 'trace_an': -100}
  • id: 11300509
    {'hecke_orbit_code': 824684052612, 'n': 44, 'trace_an': 0}
  • id: 11300510
    {'hecke_orbit_code': 824684052612, 'n': 45, 'trace_an': 34}
  • id: 11300511
    {'hecke_orbit_code': 824684052612, 'n': 46, 'trace_an': 0}
  • id: 11300512
    {'hecke_orbit_code': 824684052612, 'n': 47, 'trace_an': 0}
  • id: 11300513
    {'hecke_orbit_code': 824684052612, 'n': 48, 'trace_an': 0}
  • id: 11300514
    {'hecke_orbit_code': 824684052612, 'n': 49, 'trace_an': -176}
  • id: 11300515
    {'hecke_orbit_code': 824684052612, 'n': 50, 'trace_an': 0}
  • id: 11300516
    {'hecke_orbit_code': 824684052612, 'n': 51, 'trace_an': -124}
  • id: 11300517
    {'hecke_orbit_code': 824684052612, 'n': 52, 'trace_an': 0}
  • id: 11300518
    {'hecke_orbit_code': 824684052612, 'n': 53, 'trace_an': 0}
  • id: 11300519
    {'hecke_orbit_code': 824684052612, 'n': 54, 'trace_an': 0}
  • id: 11300520
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  • id: 11300521
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  • id: 11300522
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  • id: 11300523
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  • id: 11300524
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  • id: 11300525
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  • id: 11300526
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  • id: 11300527
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  • id: 11300528
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  • id: 11300529
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  • id: 11300530
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  • id: 11300531
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  • id: 11300532
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  • id: 11300533
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  • id: 11300534
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  • id: 11300535
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  • id: 11300536
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  • id: 11300537
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  • id: 11300538
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  • id: 11300539
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  • id: 11300540
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  • id: 11300541
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  • id: 11300542
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  • id: 11300543
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  • id: 11300544
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  • id: 11300545
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  • id: 11300546
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  • id: 11300547
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  • id: 11300548
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  • id: 11300549
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  • id: 11300550
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  • id: 11300551
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  • id: 11300552
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  • id: 11300553
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  • id: 11300554
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  • id: 11300555
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  • id: 11300556
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  • id: 11300557
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  • id: 11300558
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  • id: 11300559
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  • id: 11300560
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  • id: 11300561
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  • id: 11300562
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  • id: 11300563
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  • id: 11300564
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  • id: 11300565
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  • id: 11300566
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  • id: 11300567
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  • id: 11300568
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  • id: 11300569
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  • id: 11300570
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  • id: 11300571
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  • id: 11300572
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  • id: 11300573
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  • id: 11300574
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  • id: 11300575
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  • id: 11300576
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  • id: 11300577
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  • id: 11300578
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  • id: 11300579
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  • id: 11300580
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  • id: 11300581
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  • id: 11300582
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  • id: 11300583
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  • id: 11300584
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  • id: 11300585
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  • id: 11300586
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  • id: 11300587
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  • id: 11300588
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  • id: 11300589
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  • id: 11300590
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  • id: 11300591
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  • id: 11300592
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  • id: 11300593
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  • id: 11300594
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  • id: 11300595
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  • id: 11300596
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  • id: 11300597
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  • id: 11300598
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  • id: 11300599
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  • id: 11300600
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  • id: 11300601
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  • id: 11300602
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  • id: 11300603
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  • id: 11300604
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  • id: 11300605
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  • id: 11300606
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  • id: 11300607
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  • id: 11300608
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  • id: 11300609
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  • id: 11300610
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  • id: 11300611
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  • id: 11300612
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  • id: 11300613
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  • id: 11300614
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  • id: 11300615
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  • id: 11300616
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  • id: 11300617
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  • id: 11300618
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  • id: 11300619
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  • id: 11300620
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  • id: 11300621
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  • id: 11300622
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  • id: 11300623
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  • id: 11300624
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  • id: 11300625
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  • id: 11300626
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  • id: 11300627
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  • id: 11300628
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  • id: 11300629
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  • id: 11300630
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  • id: 11300631
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  • id: 11300632
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  • id: 11300633
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  • id: 11300634
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  • id: 11300635
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  • id: 11300636
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  • id: 11300637
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  • id: 11300638
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  • id: 11300639
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  • id: 11300640
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  • id: 11300641
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  • id: 11300642
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  • id: 11300643
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  • id: 11300644
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  • id: 11300645
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  • id: 11300646
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  • id: 11300647
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  • id: 11300648
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  • id: 11300649
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  • id: 11300650
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  • id: 11300651
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  • id: 11300652
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  • id: 11300653
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  • id: 11300654
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  • id: 11300655
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  • id: 11300656
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  • id: 11300657
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  • id: 11300658
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  • id: 11300659
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  • id: 11300660
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  • id: 11300661
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  • id: 11300662
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  • id: 11300663
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  • id: 11300664
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  • id: 11300665
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  • id: 11300666
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  • id: 11300667
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  • id: 11300668
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  • id: 11300669
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  • id: 11300670
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  • id: 11300671
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  • id: 11300672
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  • id: 11300673
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  • id: 11300674
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  • id: 11300675
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  • id: 11300676
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  • id: 11300677
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  • id: 11300678
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  • id: 11300679
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  • id: 11300680
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  • id: 11300681
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  • id: 11300682
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  • id: 11300683
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  • id: 11300684
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  • id: 11300685
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  • id: 11300686
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  • id: 11300687
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  • id: 11300688
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  • id: 11300689
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  • id: 11300690
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  • id: 11300691
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  • id: 11300692
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  • id: 11300693
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  • id: 11300694
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  • id: 11300695
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  • id: 11300696
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  • id: 11300697
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  • id: 11300698
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  • id: 11300699
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  • id: 11300700
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  • id: 11300701
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  • id: 11300702
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  • id: 11300703
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  • id: 11300704
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  • id: 11300705
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  • id: 11300706
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  • id: 11300707
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  • id: 11300708
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  • id: 11300709
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  • id: 11300710
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  • id: 11300711
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  • id: 11300712
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  • id: 11300713
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  • id: 11300714
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  • id: 11300715
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  • id: 11300716
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  • id: 11300717
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  • id: 11300718
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  • id: 11300719
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  • id: 11300720
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  • id: 11300721
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  • id: 11300722
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  • id: 11300723
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