Embedded newform data - 560.3.v.b.447.22

Formats: - HTML - YAML - JSON - 2025-10-08T04:30:33.752501

• 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': 5040, 'analytic_conductor': 15.258894804176627, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 140, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 4, 'char_parity': -1, 'char_values': [560, 4, [351, 421, 337, 241], [2, 4, 3, 2]], 'cm_discs': [], 'conrey_index': 223, 'dim': 64, 'has_non_self_twist': 1, 'hecke_orbit': 2, 'hecke_orbit_code': 4505042786714160, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0], [1, 1, 5, 3, -1, 4, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 20, 5, 1, 4, 0], [1, 1, 28, 4, 1, 2, 0], [1, 1, 35, 6, 1, 4, 0], [1, 1, 140, 10, -1, 4, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '560.3.v.b', 'level': 560, '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, 5, 7], 'level_radical': 70, 'minimal_twist': '560.3.v.b', 'prim_orbit_index': 10, 'related_objects': [], 'relative_dim': 32, 'rm_discs': [], 'sato_tate_group': '2.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '560.3.v', 'trace_display': [0, 0, 0, 0], 'traces': [64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 272, 0, 0, 0, -376, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, -432, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 856, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, -1224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -824, 0, 0, 0, 56, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -920, 0, 0, 0, -1088, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -1304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1568, 0, 0, 0, 1848, 0, 0, 0, -608, 0, 0, 0, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1512, 0, 0, 0, 0, 0, 0, 0, -1456, 0, 0, 0, 0, 0, 0, 0, -4688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1264, 0, 0, 0, -3896, 0, 0, 0, 2280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1768, 0, 0, 0, -784, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7064, 0, 0, 0, -4072, 0, 0, 0, 0, 0, 0, 0, 3984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1136, 0, 0, 0, 2192, 0, 0, 0, 3864, 0, 0, 0, 0, 0, 0, 0, -776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1272, 0, 0, 0, 0, 0, 0, 0, 5440, 0, 0, 0, 0, 0, 0, 0, -2696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1736, 0, 0, 0, -6624, 0, 0, 0, -2984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6288, 0, 0, 0, -7456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5128, 0, 0, 0, 3032, 0, 0, 0, 0, 0, 0, 0, 3056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8720, 0, 0, 0, 15800, 0, 0, 0, -9608, 0, 0, 0, 0, 0, 0, 0, -9704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3304, 0, 0, 0, 0, 0, 0, 0, -2360, 0, 0, 0, 0, 0, 0, 0, -8824, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3440, 0, 0, 0, -12152, 0, 0, 0, 5928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2856, 0, 0, 0, -6472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4080, 0, 0, 0, -2824, 0, 0, 0, 0, 0, 0, 0, 10688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2936, 0, 0, 0, 12912, 0, 0, 0, 440, 0, 0, 0, 0, 0, 0, 0, -7568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2336, 0, 0, 0, 0, 0, 0, 0, 9320, 0, 0, 0, 0, 0, 0, 0, -2184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5440, 0, 0, 0, -12920, 0, 0, 0, 440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -15200, 0, 0, 0, -8872, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2752, 0, 0, 0, -2088, 0, 0, 0, 0, 0, 0, 0, 7592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16728, 0, 0, 0, 17392, 0, 0, 0, -6200, 0, 0, 0, 0, 0, 0, 0, -18112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4416, 0, 0, 0, 0, 0, 0, 0, -6384, 0, 0, 0, 0, 0, 0, 0, -16632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 856, 0, 0, 0, -30488, 0, 0, 0, 3112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3248, 0, 0, 0, -4232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22456, 0, 0, 0, -8672, 0, 0, 0, 0, 0, 0, 0, 17912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6472, 0, 0, 0, 29000, 0, 0, 0, 1992, 0, 0, 0, 0, 0, 0, 0, 1096, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3640, 0, 0, 0, 0, 0, 0, 0, 10880, 0, 0, 0, 0, 0, 0, 0, -1552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10576, 0, 0, 0, -18768, 0, 0, 0, 17840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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], [0.3652360110511545, -0.3652360110511545], [0.0, 0.0], [-0.18265353389721897, 0.9831773423726045], [0.0, 0.0], [-0.1321602425022693, 0.9912283643549257], [0.0, 0.0], [0.0, 0.7332053124628819], [0.0, 0.0], [0.0, -0.4131685209423346], [0.0, 0.0], [-1.0950425945426507, -1.0950425945426507], [0.0, 0.0], [0.2923801225590282, 0.42580341880906236], [0.0, 0.0], [-0.8078272009511396, 0.8078272009511396], [0.0, 0.0], [0.0, 0.19463409897494413], [0.0, 0.0], [0.3137626140466714, 0.4103019736288355], [0.0, 0.0], [-1.1269373618049727, -1.1269373618049727], [0.0, 0.0], [-0.933275373109715, -0.3591616320640643], [0.0, 0.0], [0.6330289946566128, 0.6330289946566128], [0.0, 0.0], [0.0, -1.4815684492021381], [0.0, 0.0], [-0.35009478883501455, 0.0], [0.0, 0.0], [-0.15090402248088366, -0.15090402248088366], [0.0, 0.0], [-0.9504137336170666, -0.31098831963928736], [0.0, 0.0], [-0.9929048394210005, -0.9929048394210005], [0.0, 0.0], [-0.799897978323729, 0.0], [0.0, 0.0], [0.0, 0.748819353764359], [0.0, 0.0], [1.103624347341195, 1.103624347341195], [0.0, 0.0], [-0.7208708505207313, -0.13392254139356002], [0.0, 0.0], [0.8311829588061262, 0.8311829588061262], [0.0, 0.0], [-0.9650673406034828, -0.26200196201654946], [0.0, 0.0], [0.0, 0.5900951689880272], [0.0, 0.0], [-0.3220694825860976, 0.3220694825860976], [0.0, 0.0], [0.4062179283721043, 0.07546669044520454], [0.0, 0.0], [0.0710873819241442, 0.0710873819241442], [0.0, 0.0], [0.0, 1.5875141495481542], [0.0, 0.0], [0.0, 0.8460985793060425], [0.0, 0.0], [-0.7267739026089246, -0.0969005918990466], [0.0, 0.0], [1.2766344675484396, -0.8766076682260502], [0.0, 0.0], [-0.8202470942122025, 0.8202470942122025], [0.0, 0.0], [-0.8231962134603198, 0.0], [0.0, 0.0], [0.0, -0.706421006098344], [0.0, 0.0], [0.02562499138815144, 0.02562499138815144], [0.0, 0.0], [-0.4720445363045715, 0.2096870126691689], [0.0, 0.0], [0.4095443572166142, 0.054604451922042864], [0.0, 0.0], [1.3063708688351265, 0.0], [0.0, 0.0], [-0.27079534268667416, 0.0], [0.0, 0.0], [0.6259149056653328, -0.6259149056653328], [0.0, 0.0], [-0.6466849074954167, -0.9417898935594657], [0.0, 0.0], [-0.541122150485834, -0.541122150485834], [0.0, 0.0], [-0.758031090144413, 0.0], [0.0, 0.0], [1.2301583747325566, -0.9407161850424149], [0.0, 0.0], [-0.12786722416389698, 0.12786722416389698], [0.0, 0.0], [-0.19135983616527202, -0.03555060599467463], [0.0, 0.0], [-0.25962611324367835, 0.25962611324367835], [0.0, 0.0], [0.3029373544973512, 0.0], [0.0, 0.0], [0.0, 0.4907174190146431], [0.0, 0.0], [-1.3898811754024425, 1.3898811754024425], [0.0, 0.0], [-0.4607094542630867, 0.23354118756597722], [0.0, 0.0], [-0.08325611541563692, 0.08325611541563692], [0.0, 0.0], [0.0, 1.4421688951778548], [0.0, 0.0], [-0.7252892058070266, 0.0], [0.0, 0.0], [-0.37447850739072325, 0.37447850739072325], [0.0, 0.0], [1.3138183720142944, -0.9021401887853202], [0.0, 0.0], [0.8028910476918092, -0.8028910476918092], [0.0, 0.0], [-0.6939785963025838, -0.9075038738578479], [0.0, 0.0], [0.8292917733023236, 0.0], [0.0, 0.0], [0.27349579376679783, 0.27349579376679783], [0.0, 0.0], [0.523585623892689, -0.8519730596990164], [0.0, 0.0], [-0.015529704319721276, 0.015529704319721276], [0.0, 0.0], [0.8061667086436637, 0.0], [0.0, 0.0], [0.332201084919963, 0.0], [0.0, 0.0], [-0.19292683957462858, -0.025722889719739298], [0.0, 0.0], [-0.7380047475447243, 0.5067547816778561], [0.0, 0.0], [-0.8241185217601231, -0.8241185217601231], [0.0, 0.0], [0.0, -1.3677011573919509], [0.0, 0.0], [0.6071558966560913, 0.0], [0.0, 0.0], [-0.4524371291560436, 0.4524371291560436], [0.0, 0.0], [1.4566445304296594, 0.2706137129573929], [0.0, 0.0], [-0.44816989737226254, 0.2567847943832613], [0.0, 0.0], [0.0, 0.21862093339764427], [0.0, 0.0], [0.0, -0.09850924948413882], [0.0, 0.0], [-0.5923031952893956, -0.5923031952893956], [0.0, 0.0], [0.06394605037971604, -0.3442052640653077], [0.0, 0.0], [0.39806894358693934, -0.39806894358693934], [0.0, 0.0], [0.0, 0.2352627462021111], [0.0, 0.0], [1.265988592893411, -0.9681159628513855], [0.0, 0.0], [-0.12850640711006467, -0.12850640711006467], [0.0, 0.0], [0.17592856876152976, -0.12080226279065219], [0.0, 0.0], [-0.694665347902604, -0.694665347902604], [0.0, 0.0], [0.0, 1.3982365677254005], [0.0, 0.0], [-0.14270675535485539, 0.0], [0.0, 0.0], [0.46480350778381274, 0.46480350778381274], [0.0, 0.0], [0.4793530967214839, -0.8776221331891783], [0.0, 0.0], [0.5798173354682338, 0.5798173354682338], [0.0, 0.0], [1.5585500435164539, 0.0], [0.0, 0.0], [0.0, 1.0173369500840077], [0.0, 0.0], [0.3090256700617878, 0.3090256700617878], [0.0, 0.0], [1.1575591189947334, -0.7948439635069404], [0.0, 0.0], [0.3337687697939684, 0.3337687697939684], [0.0, 0.0], [-0.711137560407503, 0.5438150295179317], [0.0, 0.0], [0.0, -1.803826707974089], [0.0, 0.0], [-0.959789381338182, 0.959789381338182], [0.0, 0.0], [0.14610419249807016, -0.7864415684975431], [0.0, 0.0], [0.3558014777340403, 0.3558014777340403], [0.0, 0.0], 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[0.0, 0.0], [0.0, 0.25869896427397243], [0.0, 0.0], [0.37603235004149227, 0.37603235004149227], [0.0, 0.0], [-1.4328681864695054, -0.2661965716540775], [0.0, 0.0], [-1.0184922770099067, 1.0184922770099067], [0.0, 0.0], [0.0, -1.257075104576723], [0.0, 0.0]], 'angles': [None, -0.3334252979753445, None, None, -0.46688262252436347, -0.48404805081016256, -0.471764862113181, 0.015513041823245227, -0.47824508066787647, -0.3672270489318806, -0.27800393383580635, -0.2488747386560782, 0.06107731102356552, 0.0174872356514108, -0.025009864760091906, -0.4115664064116391, 0.14593893157418616, 0.06952014481339026, -0.4734741755079409, -0.44254497210640514, -0.12211601744273033, -0.1367161034275456, -0.3020300951458179, -0.31186865716833306, -0.40438486630753245, 0.03945287035921563, 0.3454338583863139, -0.3843750255304704, 0.1281780199054422, -0.41765235774845094, -0.37674774089969043, -0.22344118561691886, -0.22400965798420386, -0.3801520039072797, 0.017432134814720373, -0.4921577098969366, 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0.03373094218261618, -0.04025224484143032, -0.12925499479568928, -0.1815644770648456, 0.04435228709753778, -0.4409597978609943, -0.46250122966305596, -0.25228884238362764, -0.11971036992138587, -0.20466182646052766, -0.3156503590785125, -0.41291272727048184, -0.34445311957010016, -0.27349143252811087, -0.0021698297371476674, -0.4281716689611398, -0.21286319296263467, 0.020208717962461445, -0.13229531425472685, -0.39415439949639575, -0.4428852810841076, -0.18070123076448943, 0.04605763432110593, 0.03816962973339543, -0.16674711761969838, 0.012960622322164972, -0.21592240067812715, 0.11048534346286923, -0.4210001645815725, -0.3462235181997594, 0.30953725997599346, 0.1407976156924062, -0.36365883040711877, -0.3444334704320618, -0.36522586802838564, -0.09660813485663877, -0.14730853697715993, -0.33805480589445647, 0.020644452793109246, 0.2529710401324361], 'char_orbit_index': 22, 'conrey_index': 447, 'dual_conrey_index': 223, 'dual_embedding_index': 22, 'dual_embedding_m': 22, 'embedding_index': 22, 'embedding_m': 54, 'hecke_orbit': 2, 'hecke_orbit_code': 4505042786714160, 'label': '560.3.v.b.447.22', 'level': 560, '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': 5040, 'analytic_conductor': 15.258894804176627, 'char_conductor': 140, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 4, 'char_parity': -1, 'char_values': [560, 4, [351, 421, 337, 241], [2, 4, 3, 2]], 'conrey_index': 223, 'cusp_dim': 360, 'dim': 96, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_orbit_code': 1443159343664, 'hecke_orbit_dims': [32, 64], 'label': '560.3.v', 'level': 560, '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, 5, 7], 'level_radical': 70, 'mf_dim': 408, 'mf_new_dim': 96, 'num_forms': 2, 'prim_orbit_index': 10, 'relative_dim': 48, 'sturm_bound': 288, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -960, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 864, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1056, 0, 0, 0, -1152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1248, 0, 0, 0, 1248, 0, 0, 0, 0, 0, 0, 0, -576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1200, 0, 0, 0, 864, 0, 0, 0, -2400, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -2112, 0, 0, 0, 0, 0, 0, 0, -1536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1296, 0, 0, 0, -2112, 0, 0, 0, 1152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1392, 0, 0, 0, 2496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4992, 0, 0, 0, -4320, 0, 0, 0, 0, 0, 0, 0, 1920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3024, 0, 0, 0, -3168, 0, 0, 0, 5856, 0, 0, 0, 0, 0, 0, 0, 1920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1104, 0, 0, 0, 0, 0, 0, 0, 6432, 0, 0, 0, 0, 0, 0, 0, 1632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -864, 0, 0, 0, 2976, 0, 0, 0, -4416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3312, 0, 0, 0, -4992, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1248, 0, 0, 0, 6336, 0, 0, 0, 0, 0, 0, 0, -3264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5232, 0, 0, 0, 4608, 0, 0, 0, -7776, 0, 0, 0, 0, 0, 0, 0, -2496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, -7584, 0, 0, 0, 0, 0, 0, 0, -5088, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1824, 0, 0, 0, -3936, 0, 0, 0, 6432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5616, 0, 0, 0, 1536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10656, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2208, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 4416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8112, 0, 0, 0, -2784, 0, 0, 0, 9792, 0, 0, 0, 0, 0, 0, 0, 2784, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1632, 0, 0, 0, 0, 0, 0, 0, 6816, 0, 0, 0, 0, 0, 0, 0, 9408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1104, 0, 0, 0, 4128, 0, 0, 0, -4224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10128, 0, 0, 0, 672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10368, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, -7776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6960, 0, 0, 0, 4032, 0, 0, 0, -7968, 0, 0, 0, 0, 0, 0, 0, -14304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 816, 0, 0, 0, 0, 0, 0, 0, -17472, 0, 0, 0, 0, 0, 0, 0, -10560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5040, 0, 0, 0, -4416, 0, 0, 0, 576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17376, 0, 0, 0, 10464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14400, 0, 0, 0, -7872, 0, 0, 0, 0, 0, 0, 0, 12384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8208, 0, 0, 0, -1728, 0, 0, 0, 11616, 0, 0, 0, 0, 0, 0, 0, 21984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10176, 0, 0, 0, 0, 0, 0, 0, 14112, 0, 0, 0, 0, 0, 0, 0, 19104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2688, 0, 0, 0, -768, 0, 0, 0, 5088, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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: 37875906
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 447, 'source_dim': 64, 'source_embedding_index': 22, 'source_hecke_orbit_code': 4505042786714160, 'source_is_minimal': True, 'source_label': '560.3.v.b.447.22', 'source_level': 560, 'target_conrey_index': 447, 'target_dim': 64, 'target_embedding_index': 22, 'target_hecke_orbit_code': 4505042786714160, 'target_is_minimal': True, 'target_label': '560.3.v.b.447.22', 'target_level': 560, 'twist_class_label': '560.3.v.b.223.11', 'twist_class_level': 560, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 37875907
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 447, 'source_dim': 64, 'source_embedding_index': 22, 'source_hecke_orbit_code': 4505042786714160, 'source_is_minimal': True, 'source_label': '560.3.v.b.447.22', 'source_level': 560, 'target_conrey_index': 447, 'target_dim': 64, 'target_embedding_index': 11, 'target_hecke_orbit_code': 4505042786714160, 'target_is_minimal': True, 'target_label': '560.3.v.b.447.11', 'target_level': 560, 'twist_class_label': '560.3.v.b.223.11', 'twist_class_level': 560, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 37875908
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 447, 'source_dim': 64, 'source_embedding_index': 22, 'source_hecke_orbit_code': 4505042786714160, 'source_is_minimal': True, 'source_label': '560.3.v.b.447.22', 'source_level': 560, 'target_conrey_index': 223, 'target_dim': 64, 'target_embedding_index': 21, 'target_hecke_orbit_code': 4505042786714160, 'target_is_minimal': True, 'target_label': '560.3.v.b.223.21', 'target_level': 560, 'twist_class_label': '560.3.v.b.223.11', 'twist_class_level': 560, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 37875909
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 447, 'source_dim': 64, 'source_embedding_index': 22, 'source_hecke_orbit_code': 4505042786714160, 'source_is_minimal': True, 'source_label': '560.3.v.b.447.22', 'source_level': 560, 'target_conrey_index': 447, 'target_dim': 64, 'target_embedding_index': 12, 'target_hecke_orbit_code': 4505042786714160, 'target_is_minimal': True, 'target_label': '560.3.v.b.447.12', 'target_level': 560, 'twist_class_label': '560.3.v.b.223.11', 'twist_class_level': 560, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 3}
  • id: 37875910
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 447, 'source_dim': 64, 'source_embedding_index': 22, 'source_hecke_orbit_code': 4505042786714160, 'source_is_minimal': True, 'source_label': '560.3.v.b.447.22', 'source_level': 560, 'target_conrey_index': 223, 'target_dim': 64, 'target_embedding_index': 12, 'target_hecke_orbit_code': 4505042786714160, 'target_is_minimal': True, 'target_label': '560.3.v.b.223.12', 'target_level': 560, 'twist_class_label': '560.3.v.b.223.11', 'twist_class_level': 560, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 37875911
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 447, 'source_dim': 64, 'source_embedding_index': 22, 'source_hecke_orbit_code': 4505042786714160, 'source_is_minimal': True, 'source_label': '560.3.v.b.447.22', 'source_level': 560, 'target_conrey_index': 447, 'target_dim': 64, 'target_embedding_index': 21, 'target_hecke_orbit_code': 4505042786714160, 'target_is_minimal': True, 'target_label': '560.3.v.b.447.21', 'target_level': 560, 'twist_class_label': '560.3.v.b.223.11', 'twist_class_level': 560, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 3}
  • id: 37875912
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 447, 'source_dim': 64, 'source_embedding_index': 22, 'source_hecke_orbit_code': 4505042786714160, 'source_is_minimal': True, 'source_label': '560.3.v.b.447.22', 'source_level': 560, 'target_conrey_index': 223, 'target_dim': 64, 'target_embedding_index': 11, 'target_hecke_orbit_code': 4505042786714160, 'target_is_minimal': True, 'target_label': '560.3.v.b.223.11', 'target_level': 560, 'twist_class_label': '560.3.v.b.223.11', 'twist_class_level': 560, 'twisting_char_label': '35.13', 'twisting_conrey_index': 13, 'weight': 3}
  • id: 37875913
    {'conductor': 140, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 447, 'source_dim': 64, 'source_embedding_index': 22, 'source_hecke_orbit_code': 4505042786714160, 'source_is_minimal': True, 'source_label': '560.3.v.b.447.22', 'source_level': 560, 'target_conrey_index': 223, 'target_dim': 64, 'target_embedding_index': 22, 'target_hecke_orbit_code': 4505042786714160, 'target_is_minimal': True, 'target_label': '560.3.v.b.223.22', 'target_level': 560, 'twist_class_label': '560.3.v.b.223.11', 'twist_class_level': 560, 'twisting_char_label': '140.83', 'twisting_conrey_index': 83, 'weight': 3}
• hecke_orbit_code 4505042786714160 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': 22, 'hecke_orbit': 2, 'label': '560.3.v.b', 'level': 560, '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: 24846925
    {'hecke_orbit_code': 4505042786714160, 'n': 1, 'trace_an': 64}
  • id: 24846926
    {'hecke_orbit_code': 4505042786714160, 'n': 2, 'trace_an': 0}
  • id: 24846927
    {'hecke_orbit_code': 4505042786714160, 'n': 3, 'trace_an': 0}
  • id: 24846928
    {'hecke_orbit_code': 4505042786714160, 'n': 4, 'trace_an': 0}
  • id: 24846929
    {'hecke_orbit_code': 4505042786714160, 'n': 5, 'trace_an': 0}
  • id: 24846930
    {'hecke_orbit_code': 4505042786714160, 'n': 6, 'trace_an': 0}
  • id: 24846931
    {'hecke_orbit_code': 4505042786714160, 'n': 7, 'trace_an': 0}
  • id: 24846932
    {'hecke_orbit_code': 4505042786714160, 'n': 8, 'trace_an': 0}
  • id: 24846933
    {'hecke_orbit_code': 4505042786714160, 'n': 9, 'trace_an': 0}
  • id: 24846934
    {'hecke_orbit_code': 4505042786714160, 'n': 10, 'trace_an': 0}
  • id: 24846935
    {'hecke_orbit_code': 4505042786714160, 'n': 11, 'trace_an': 0}
  • id: 24846936
    {'hecke_orbit_code': 4505042786714160, 'n': 12, 'trace_an': 0}
  • id: 24846937
    {'hecke_orbit_code': 4505042786714160, 'n': 13, 'trace_an': 0}
  • id: 24846938
    {'hecke_orbit_code': 4505042786714160, 'n': 14, 'trace_an': 0}
  • id: 24846939
    {'hecke_orbit_code': 4505042786714160, 'n': 15, 'trace_an': 0}
  • id: 24846940
    {'hecke_orbit_code': 4505042786714160, 'n': 16, 'trace_an': 0}
  • id: 24846941
    {'hecke_orbit_code': 4505042786714160, 'n': 17, 'trace_an': 0}
  • id: 24846942
    {'hecke_orbit_code': 4505042786714160, 'n': 18, 'trace_an': 0}
  • id: 24846943
    {'hecke_orbit_code': 4505042786714160, 'n': 19, 'trace_an': 0}
  • id: 24846944
    {'hecke_orbit_code': 4505042786714160, 'n': 20, 'trace_an': 0}
  • id: 24846945
    {'hecke_orbit_code': 4505042786714160, 'n': 21, 'trace_an': 16}
  • id: 24846946
    {'hecke_orbit_code': 4505042786714160, 'n': 22, 'trace_an': 0}
  • id: 24846947
    {'hecke_orbit_code': 4505042786714160, 'n': 23, 'trace_an': 0}
  • id: 24846948
    {'hecke_orbit_code': 4505042786714160, 'n': 24, 'trace_an': 0}
  • id: 24846949
    {'hecke_orbit_code': 4505042786714160, 'n': 25, 'trace_an': -72}
  • id: 24846950
    {'hecke_orbit_code': 4505042786714160, 'n': 26, 'trace_an': 0}
  • id: 24846951
    {'hecke_orbit_code': 4505042786714160, 'n': 27, 'trace_an': 0}
  • id: 24846952
    {'hecke_orbit_code': 4505042786714160, 'n': 28, 'trace_an': 0}
  • id: 24846953
    {'hecke_orbit_code': 4505042786714160, 'n': 29, 'trace_an': 0}
  • id: 24846954
    {'hecke_orbit_code': 4505042786714160, 'n': 30, 'trace_an': 0}
  • id: 24846955
    {'hecke_orbit_code': 4505042786714160, 'n': 31, 'trace_an': 0}
  • id: 24846956
    {'hecke_orbit_code': 4505042786714160, 'n': 32, 'trace_an': 0}
  • id: 24846957
    {'hecke_orbit_code': 4505042786714160, 'n': 33, 'trace_an': 0}
  • id: 24846958
    {'hecke_orbit_code': 4505042786714160, 'n': 34, 'trace_an': 0}
  • id: 24846959
    {'hecke_orbit_code': 4505042786714160, 'n': 35, 'trace_an': 0}
  • id: 24846960
    {'hecke_orbit_code': 4505042786714160, 'n': 36, 'trace_an': 0}
  • id: 24846961
    {'hecke_orbit_code': 4505042786714160, 'n': 37, 'trace_an': 72}
  • id: 24846962
    {'hecke_orbit_code': 4505042786714160, 'n': 38, 'trace_an': 0}
  • id: 24846963
    {'hecke_orbit_code': 4505042786714160, 'n': 39, 'trace_an': 0}
  • id: 24846964
    {'hecke_orbit_code': 4505042786714160, 'n': 40, 'trace_an': 0}
  • id: 24846965
    {'hecke_orbit_code': 4505042786714160, 'n': 41, 'trace_an': 0}
  • id: 24846966
    {'hecke_orbit_code': 4505042786714160, 'n': 42, 'trace_an': 0}
  • id: 24846967
    {'hecke_orbit_code': 4505042786714160, 'n': 43, 'trace_an': 0}
  • id: 24846968
    {'hecke_orbit_code': 4505042786714160, 'n': 44, 'trace_an': 0}
  • id: 24846969
    {'hecke_orbit_code': 4505042786714160, 'n': 45, 'trace_an': 0}
  • id: 24846970
    {'hecke_orbit_code': 4505042786714160, 'n': 46, 'trace_an': 0}
  • id: 24846971
    {'hecke_orbit_code': 4505042786714160, 'n': 47, 'trace_an': 0}
  • id: 24846972
    {'hecke_orbit_code': 4505042786714160, 'n': 48, 'trace_an': 0}
  • id: 24846973
    {'hecke_orbit_code': 4505042786714160, 'n': 49, 'trace_an': 0}
  • id: 24846974
    {'hecke_orbit_code': 4505042786714160, 'n': 50, 'trace_an': 0}
  • id: 24846975
    {'hecke_orbit_code': 4505042786714160, 'n': 51, 'trace_an': 0}
  • id: 24846976
    {'hecke_orbit_code': 4505042786714160, 'n': 52, 'trace_an': 0}
  • id: 24846977
    {'hecke_orbit_code': 4505042786714160, 'n': 53, 'trace_an': 272}
  • id: 24846978
    {'hecke_orbit_code': 4505042786714160, 'n': 54, 'trace_an': 0}
  • id: 24846979
    {'hecke_orbit_code': 4505042786714160, 'n': 55, 'trace_an': 0}
  • id: 24846980
    {'hecke_orbit_code': 4505042786714160, 'n': 56, 'trace_an': 0}
  • id: 24846981
    {'hecke_orbit_code': 4505042786714160, 'n': 57, 'trace_an': -376}
  • id: 24846982
    {'hecke_orbit_code': 4505042786714160, 'n': 58, 'trace_an': 0}
  • id: 24846983
    {'hecke_orbit_code': 4505042786714160, 'n': 59, 'trace_an': 0}
  • id: 24846984
    {'hecke_orbit_code': 4505042786714160, 'n': 60, 'trace_an': 0}
  • id: 24846985
    {'hecke_orbit_code': 4505042786714160, 'n': 61, 'trace_an': 0}
  • id: 24846986
    {'hecke_orbit_code': 4505042786714160, 'n': 62, 'trace_an': 0}
  • id: 24846987
    {'hecke_orbit_code': 4505042786714160, 'n': 63, 'trace_an': 0}
  • id: 24846988
    {'hecke_orbit_code': 4505042786714160, 'n': 64, 'trace_an': 0}
  • id: 24846989
    {'hecke_orbit_code': 4505042786714160, 'n': 65, 'trace_an': -88}
  • id: 24846990
    {'hecke_orbit_code': 4505042786714160, 'n': 66, 'trace_an': 0}
  • id: 24846991
    {'hecke_orbit_code': 4505042786714160, 'n': 67, 'trace_an': 0}
  • id: 24846992
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  • id: 24846993
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  • id: 24846994
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  • id: 24846996
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  • id: 24846999
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  • id: 24847000
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  • id: 24847001
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  • id: 24847002
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  • id: 24847003
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  • id: 24847004
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  • id: 24847005
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  • id: 24847006
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  • id: 24847008
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  • id: 24847009
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  • id: 24847010
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  • id: 24847011
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  • id: 24847017
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  • id: 24847018
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  • id: 24847019
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  • id: 24847020
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  • id: 24847021
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  • id: 24847022
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  • id: 24847023
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  • id: 24847024
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  • id: 24847025
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  • id: 24847026
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  • id: 24847027
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  • id: 24847028
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  • id: 24847029
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  • id: 24847030
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  • id: 24847031
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  • id: 24847032
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  • id: 24847033
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  • id: 24847034
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  • id: 24847035
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  • id: 24847036
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  • id: 24847037
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  • id: 24847038
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  • id: 24847039
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  • id: 24847040
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  • id: 24847041
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  • id: 24847042
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  • id: 24847043
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  • id: 24847044
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  • id: 24847045
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  • id: 24847046
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  • id: 24847047
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  • id: 24847048
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  • id: 24847050
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  • id: 24847060
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  • id: 24847062
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  • id: 24847063
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  • id: 24847064
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  • id: 24847065
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  • id: 24847066
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  • id: 24847067
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  • id: 24847068
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  • id: 24847069
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  • id: 24847070
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  • id: 24847072
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  • id: 24847073
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  • id: 24847074
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  • id: 24847075
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  • id: 24847076
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  • id: 24847080
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  • id: 24847081
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  • id: 24847082
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  • id: 24847083
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  • id: 24847084
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  • id: 24847085
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  • id: 24847086
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  • id: 24847087
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  • id: 24847088
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  • id: 24847089
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  • id: 24847090
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  • id: 24847091
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  • id: 24847092
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  • id: 24847093
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  • id: 24847094
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  • id: 24847095
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  • id: 24847096
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  • id: 24847097
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  • id: 24847098
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  • id: 24847100
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  • id: 24847102
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  • id: 24847104
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  • id: 24847107
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  • id: 24847110
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  • id: 24847111
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  • id: 24847113
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  • id: 24847114
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  • id: 24847116
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  • id: 24847117
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  • id: 24847121
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  • id: 24847122
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  • id: 24847123
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  • id: 24847124
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  • id: 24847125
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  • id: 24847126
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  • id: 24847127
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  • id: 24847128
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  • id: 24847129
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  • id: 24847131
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  • id: 24847133
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  • id: 24847137
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  • id: 24847139
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