Embedded newform data - 145.2.a.d.1.1

Formats: - HTML - YAML - JSON - 2025-11-07T00:28:57.632326

• 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': 580, 'analytic_conductor': 1.1578308293085655, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[5, 1], [29, -1]], 'atkin_lehner_string': '+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [145, 1, [117, 31], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 148, 'field_disc_factorization': [[2, 2], [37, 1]], 'field_poly': [1, -3, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [5, -1, -3, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510798915666065, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '145.2.a.d', 'level': 145, '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': True, 'level_primes': [5, 29], 'level_radical': 145, 'minimal_twist': '145.2.a.d', 'nf_label': '3.3.148.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(1+\\beta _{2})q^{2}+(-1+\\beta _{1}+\\beta _{2})q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '145.2.a', 'trace_display': [3, -2, -3, -2], 'trace_hash': 1313167281929340639, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.021', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.724', 'prec': 17}, {'__RealLiteral__': 0, 'data': '25.407', 'prec': 20}, {'__RealLiteral__': 0, 'data': '13.802', 'prec': 20}, {'__RealLiteral__': 0, 'data': '323.783', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.006', 'prec': 17}, 'traces': [3, 3, -2, 5, -3, 4, -2, 9, 3, -3, 8, -2, -6, -12, 2, 5, 0, -13, 0, -5, 0, 2, 14, -20, 3, 10, -8, -22, 3, -4, 12, 11, -16, -14, 2, -15, 4, -2, 16, -9, -10, 16, -10, 12, -3, 8, 18, -10, -1, 3, 8, 10, 10, 12, -8, -32, -20, 3, 4, 2, 6, 14, 18, 33, 6, 12, -10, -36, -20, 12, 24, -3, -4, -22, -2, 16, -4, -28, 8, -5, -1, -14, -2, 20, 0, -16, -2, 38, 22, 13, -16, 22, 12, 0, 0, -8, -36, 23, 20, 5, 6, 36, -10, -6, 0, 14, -2, 24, -10, -2, -16, -58, 4, -16, -14, 5, -38, 12, 36, 20, -1, 22, 16, 4, -3, 16, -18, 25, -4, -10, -8, -4, -16, -16, 8, -66, -40, 20, -16, 22, -44, 40, -28, -43, -3, -58, -6, -32, -22, 4, 4, 54, 28, -40, -12, -16, -28, 6, -16, -11, -8, -9, 2, -34, 16, 20, 46, 12, 5, 14, 4, -18, 6, 4, -2, 20, 28, 42, 16, 15, 14, -4, 8, 56, -4, 32, -8, 26, -32, 2, 36, -30, 40, -6, -16, 53, -18, -50, -4, 9, -4, -30, -2, 36, 10, -48, 26, 38, 20, -16, 16, 34, -4, -8, 10, 28, 8, -10, -44, -12, -28, 44, 18, -72, 3, -34, -2, -16, 26, -8, -12, 9, 18, 34, -18, -8, 24, 80, 16, 10, -22, -41, -6, 30, 1, 4, -4, -18, 24, -3, 12, 46, 48, 24, -8, 5, 22, -12, 36, -10, 3, -22, 14, -64, -10, -52, -12, -18, 10, -12, 8, -116, 32, -14, 8, -8, 2, -68, 8, 32, -46, 28, -54, 60, 20, 48, 24, -53, 29, -3, 28, -68, 16, -56, -4, -26, -24, 18, -40, -2, 8, -20, -68, 68, -6, 30, 10, -64, -28, -14, -20, 52, 2, -54, -18, -20, 20, -4, 8, -33, 40, -64, -52, 13, -6, 28, 56, -70, -8, -12, -12, 18, 56, 84, 10, 48, 28, -83, 12, 36, 12, -38, -40, -16, 20, -50, -2, -2, -6, -12, 56, 30, -14, 20, -24, 74, -28, 40, 32, 3, -1, -26, -54, -24, 4, -12, 18, 30, -2, 22, -24, 8, -6, -64, 2, 96, -6, -40, 56, -16, -12, 50, -2, 24, 4, 78, 2, -4, -46, 28, -8, 89, -36, -14, -8, -48, 22, -12, -4, 5, 34, -12, -20, 2, 1, -12, 24, 8, -46, 14, 40, -58, 12, -76, 2, 42, -16, 12, 12, -20, 2, 54, 54, 70, 0, 12, -24, -54, 88, 16, -4, 96, 36, 4, 2, -66, 20, 56, 8, -38, -49, -16, 34, 36, -22, 4, 20, -58, 18, -13, -36, -84, 4, -32, 16, -20, -22, 10, -72, -22, -58, 52, -30, 5, -12, 114, 38, 2, 8, 0, -44, -56, -16, 44, 0, 152, 2, 24, -36, 8, -60, -14, -12, -27, 36, -52, 2, 30, 12, -23, 16, 24, 0, 40, -20, -48, -36, -24, -36, -5, 4, 94, -34, 108, -6, -4, -94, 78, -14, -36, 64, -1, 32, 54, 10, 8, 80, 48, -120, 6, -18, -13, -42, 0, 0, -52, 52, 8, 7, -14, -12, -84, 12, -8, 2, -16, 32, 86, 4, -24, 106, 74, -64, -130, 10, -24, -78, -28, -26, 2, 0, -104, 28, -66, 16, -104, 10, -14, 8, 58, -12, -118, -26, -8, -4, -8, -14, 84, -26, 16, -16, 36, -32, 84, 14, 5, 56, 117, 8, -5, -20, -104, 36, -34, 38, 30, -30, -54, -56, -12, 52, -96, -2, 72, -36, 38, -28, 68, 12, -20, -10, 32, 2, -48, 1, 16, 18, 66, 0, -22, -72, 80, -34, 36, -16, -76, -36, 28, -8, -4, -40, -66, -52, -56, 3, 98, -44, -36, 64, -16, 24, -70, 24, 114, 18, -24, 50, 2, -8, -25, 14, 48, -86, -108, 4, -124, 50, 65, -20, 10, 4, 42, 48, 36, 8, -78, 104, -96, -16, 4, -2, -34, 40, -8, 16, -18, 14, 118, -4, 16, 4, 64, -42, 50, -8, -77, -32, 96, -32, 66, -52, -4, -10, -52, 40, -28, 20, -10, -12, -20, 60, 14, 68, -72, 16, -20, 44, 2, 60, -22, -34, -32, -12, 96, 44, 22, 4, 12, -30, -40, 12, 118, 36, -44, 28, 32, 20, -22, -36, 43, 48, 31, -4, -2, 3, 24, -66, -76, -9, 58, -8, -24, -4, 104, 6, 52, -16, 66, 64, 32, 48, -84, 42, -60, 22, 62, -46, -108, 52, -4, -24, 50, 72, 10, -4, -88, 36, 18, -108, -54, -18, -132, 56, 96, -28, -80, 8, 42, -22, 40, -40, 108, 64, 28, 12, -30, -52, -82, -36, 16, 52, -92, -8, 169, 28, -24, 42, -62, -28, -6, 88, 26, 20, 106, 16, 8, -92, 36, -24, 11, -18, 42, 36, 8, 8, 0, 112, 102, -58, 9, 32, -22, 112, -88, -2, 48, 20, -78, -40, 34, -78, -92, -46, -40, -16, 44, -6, -78, 34, -20, -40, -38, -116, 56, -46, 48, -64, -48, 48, -12, 3, -70, -48, 68, -5, -124, 26, 78, 52, -14, 32, -36, -12, -52, -4, -140, -50, -120, 40, 18, -8, 76, 38, 100, -6, -10, 22, -4, -8, -4, 8, -178, -96, 8, 2, 64, -22, -4, -68, -20, 18, -33, -34, -44, -28, -16, -6, -40, -96, -42, 28, -6, 60, -104, -16, -68, 120, 34, 12, -15, -44, -32, -12, -146, -14, 60, -54, -10, 78, 4, 64, 28, -28, -58, -8, -26, -8, -104, 24, -56, -92, 42, -16, 60, 4, 52, 66, 11, 134, -32, 68, 150, -52, 56, 8, -134, -42, 32, 120, -26, -14, -48, -56, -68, 32, -20, -10, 28, -100, -2, 88, 252, -18, -66, -36, 12, -16, -42, -12, 30, 11, 40, 10, -2, -40, 84, 70, 41, -44, 6, 28, -86, 88, 136, 16, 58, -26, -36, 56, -53, -10, -14, -46, 76, 18, -14, -36, 36, -36, 50, 60, -22, 84, -124, 4, -20, 0, -132, -88, -9], '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], [-0.8586537250709633, 0.0], [-1.676170186939567, 0.0], [-0.2627137804217585, 0.0], [-0.4472135954999579, 0.0], [1.4392497748685522, 0.0], [0.5765574241479708, 0.0], [1.0842338912575813, 0.0], [1.8095464955850236, 0.0], [0.3840016196784179, 0.0], [1.4783740205313183, 0.0], [0.4403530064411394, 0.0], [-1.782983792382147, 0.0], [-0.4950631799619745, 0.0], [0.7496060959710804, 0.0], [-0.6682676891547495, 0.0], [0.5208799848424339, 0.0], [-1.553773839123188, 0.0], [0.5232964380511119, 0.0], [0.11748917432980109, 0.0], [-0.9664083654154996, 0.0], [-1.2694113597773533, 0.0], [1.4394191898432582, 0.0], [-1.8173605241954345, 0.0], [0.2, 0.0], [1.5309656750700835, 0.0], [-1.3569377008410202, 0.0], [-0.15146958052814471, 0.0], [0.18569533817705186, 0.0], [-0.6436520666414702, 0.0], [0.3087421803437571, 0.0], [-0.5104233506202912, 0.0], [-2.4780064583605794, 0.0], [-0.4472555392998628, 0.0], [-0.2578443186654083, 0.0], [-0.4753928007040865, 0.0], [1.307640567584121, 0.0], [-0.4493304358489539, 0.0], [2.9885842765874013, 0.0], [-0.4848841368722134, 0.0], [-0.527521291141192, 0.0], [0.8298101429037594, 0.0], [-0.167258613256339, 0.0], [-0.38838922781109714, 0.0], [-0.8092537945149271, 0.0], [-1.2359626492975417, 0.0], [1.8538909146606026, 0.0], [1.120130377456189, 0.0], [-0.6675815366598569, 0.0], [-0.17173074501419267, 0.0], [-0.8730835015664213, 0.0], [0.46841441252743765, 0.0], [0.46397436528280994, 0.0], [1.1651396115163704, 0.0], [-0.6611489612155396, 0.0], [0.6251230995174023, 0.0], [-0.8771338883929419, 0.0], [-0.15944799385403785, 0.0], [-0.4145486000932489, 0.0], [-0.1969318512997581, 0.0], [-0.31095542236594903, 0.0], [-0.2651026232386982, 0.0], [1.0433074663704887, 0.0], [1.1065446005280648, 0.0], [0.7973745925093704, 0.0], [2.1277494762212164, 0.0], [-0.13399398958800765, 0.0], [-0.1368423499639841, 0.0], [-2.412711532523974, 0.0], [0.22139898471043737, 0.0], [0.42384251519168686, 0.0], [1.96197163831967, 0.0], [1.6607120981136037, 0.0], [-1.1228104444100142, 0.0], [-0.3352340373879134, 0.0], [-0.1374771855216482, 0.0], [0.8523675172048163, 0.0], [-2.5661590217802823, 0.0], [0.03839017554427318, 0.0], [0.29885839602334374, 0.0], [0.4649120240990159, 0.0], [0.4529581216926286, 0.0], [-0.8047752446657177, 0.0], [0.2538887951095182, 0.0], [-0.23294461084534845, 0.0], [0.1436172313227591, 0.0], [-0.31125698970603516, 0.0], [1.6029032170147868, 0.0], [0.3126087318843358, 0.0], [0.6948687851880541, 0.0], [-1.027992542633431, 0.0], [-0.3781552569753473, 0.0], [-0.5175044381429249, 0.0], [-1.5918503397485417, 0.0], [-0.2340252815731588, 0.0], [0.8555564030275337, 0.0], [-1.8861357384145452, 0.0], [0.573221373241584, 0.0], [2.6751865280163885, 0.0], [-0.05254275608435171, 0.0], [1.5342748643639001, 0.0], [0.7496764009180079, 0.0], [0.7646638896127744, 0.0], [-1.9331714552636947, 0.0], [0.43219095981870276, 0.0], [-0.39839331708752057, 0.0], [-0.29355582072722264, 0.0], [0.3564862331847537, 0.0], [-0.7604927058655612, 0.0], [0.5676980183745208, 0.0], [-2.1918281346172375, 0.0], [-0.38529469750037926, 0.0], [0.7357108820676249, 0.0], [0.7531542806545782, 0.0], [-0.64372783132144, 0.0], [-0.0487847242991902, 0.0], [-3.226392073190009, 0.0], [0.35595369969302126, 0.0], [0.3003172223509878, 0.0], [0.8127483343451286, 0.0], [1.1855897445819348, 0.0], [0.2670030317455369, 0.0], [0.8842154611867334, 0.0], [-0.08111082537376478, 0.0], [-0.08944271909999159, 0.0], [-0.8958398423933688, 0.0], [-1.1041314565520477, 0.0], [-0.4397152925802928, 0.0], [0.2803539010491305, 0.0], [-0.6846686641351124, 0.0], [0.3571195560044755, 0.0], [0.6510064445854408, 0.0], [0.3017104463885573, 0.0], [0.11505443829686265, 0.0], [0.6068409880625589, 0.0], [0.5647557328439021, 0.0], [-1.7047909984709533, 0.0], [2.071683744923383, 0.0], [0.6707591793970977, 0.0], [0.06773925571686201, 0.0], [-3.1074366809922274, 0.0], [-0.36393395451278826, 0.0], [-2.635916917686172, 0.0], [-1.2092614550226788, 0.0], 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[0.675166478126185, 0.0], [-1.3126185697890036, 0.0], [-3.5668900487197464, 0.0], [-0.25373814169271713, 0.0], [0.09390819002169994, 0.0], [-1.5891209502678214, 0.0], [-0.4384677155771684, 0.0], [-0.1872864258772031, 0.0], [-0.4215241042206173, 0.0], [-1.044315496351205, 0.0], [0.739133435120971, 0.0], [1.2218969340716492, 0.0], [1.1808753822720872, 0.0], [0.32731050716792115, 0.0], [-0.322295580259054, 0.0], [-0.04235035264843706, 0.0], [1.0150306632238293, 0.0], [0.25988205764572236, 0.0], [0.061748436068751425, 0.0], [-2.045012291101194, 0.0], [-1.2637147834699665, 0.0], [0.2838732801345013, 0.0], [-0.2760500126503093, 0.0], [0.35112629907127973, 0.0], [0.6265977632560404, 0.0], [-0.643788206031918, 0.0], [-0.2519770052428645, 0.0], [0.44612317082605923, 0.0], [-0.06759419071993598, 0.0], [0.5139842405805987, 0.0], [0.42724441640708544, 0.0], [0.1976949606120079, 0.0], [-2.072906607892721, 0.0], [0.014741889588739688, 0.0], [0.4241795710825414, 0.0], [2.9005278991110677, 0.0], 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[0.07827768177030311, 0.0], [-0.30903499742873064, 0.0], [-1.8467204130662052, 0.0], [-1.972951088289517, 0.0], [-0.34772986069647494, 0.0], [0.9653899979382877, 0.0], [-0.14671426224866208, 0.0], [-0.203242699490969, 0.0], [-0.4189439043483014, 0.0], [-1.2992084664501193, 0.0], [-0.29083546563607526, 0.0], [0.4685960861305811, 0.0], [0.034482758620689655, 0.0], [-0.9582726488993346, 0.0], [-0.6898209447335796, 0.0], [0.10418402244751246, 0.0], [-0.9744923794015683, 0.0], [-2.880527203787803, 0.0], [0.683560569232411, 0.0], [-0.310059076914585, 0.0], [2.889991720271979, 0.0], [-0.08945110785997255, 0.0], [1.8822429263981135, 0.0], [0.1866403258222336, 0.0], [1.7744449387941956, 0.0], [0.15394258022290563, 0.0], [-0.42347962814900786, 0.0], [-0.31828316980838955, 0.0], [-1.0261976539554725, 0.0], [-3.793742830352031, 0.0], [0.6717240840383074, 0.0], [-0.019651076371034793, 0.0], [0.5098009886936331, 0.0], [1.1615088602302275, 0.0], [0.6671426594560552, 0.0], [0.6926126878462678, 0.0], [-0.8299616224444086, 0.0], [-0.9492811966535685, 0.0], [1.2213984658774706, 0.0], [-0.046765048548013693, 0.0], [0.05675503816829023, 0.0], [-0.11952318818334615, 0.0], [0.2389091117120398, 0.0], [-0.8245519657536248, 0.0], [-3.413050315645711, 0.0], [-0.6467748519416193, 0.0], [-0.051568863733081664, 0.0], [0.7312995652374978, 0.0], [-0.5482191357124293, 0.0], [-0.48137465344547603, 0.0], [-0.7630283955798504, 0.0], [0.4418244884985717, 0.0], [-0.6975755758206186, 0.0], [1.037270727143743, 0.0], [0.2944987356961912, 0.0], [0.2439876920972693, 0.0], [-0.310748157706177, 0.0], [-0.7215712675992141, 0.0], [0.013912490791901072, 0.0], [-2.3764543473638935, 0.0], [-0.6365951885103958, 0.0], [0.12004225936920124, 0.0], [0.6873138582606152, 0.0], [-0.14333835774835932, 0.0], [0.9701345121772114, 0.0], [-1.8985194163129893, 0.0], [0.12076418005380965, 0.0], [-0.25352111644856495, 0.0], [4.3018255581837375, 0.0], [-0.06367525947766384, 0.0], [0.05733198358845431, 0.0], [-0.09507856014081731, 0.0], [0.24167496035578792, 0.0], [0.6696415194990455, 0.0], [0.1616401230387218, 0.0], [0.7976826725047286, 0.0], [-0.5997193266553887, 0.0], [0.6644554941850954, 0.0], [-1.5601507092444478, 0.0], [-0.18336775393444074, 0.0], [2.7763417040738827, 0.0], [-0.39475080138857255, 0.0], [-0.40322315958007104, 0.0], [0.5861602366756713, 0.0], [-1.1897588140805326, 0.0], [-0.05942556850332555, 0.0], [-0.23309408018077746, 0.0], [-0.14737187663091839, 0.0], [0.20589993132280737, 0.0], [0.6068979031859664, 0.0], [-0.7675135341247464, 0.0], [-0.6979515314644489, 0.0], [-0.5668562801508789, 0.0], [1.6498199896032948, 0.0], [-0.7557043351092616, 0.0], [0.37534259879391046, 0.0], [0.2615281135168242, 0.0], [1.373698234057518, 0.0], [1.383694861749209, 0.0], [-0.09478323670689888, 0.0], [1.4683825787534328, 0.0], [-0.19872254243765278, 0.0], [-0.3493430402427909, 0.0], [0.35406089780544875, 0.0], [-0.8501658453521485, 0.0], [-0.6027578215884557, 0.0], [-0.34437926089654114, 0.0], [-3.4981636322374188, 0.0], [-0.742358300011017, 0.0], [0.06633549058123078, 0.0], [2.8907539164042815, 0.0], [0.21781211286099394, 0.0], [0.13371193250157123, 0.0], [0.21753570274922243, 0.0], [-0.7593242695195239, 0.0], [0.2770294350266518, 0.0], [0.3498786769447585, 0.0], [0.21231998368820376, 0.0], [0.5400049625781209, 0.0], [0.0169052292187238, 0.0], [-2.961022754749505, 0.0], [-0.08986608716979078, 0.0], [2.0928591852588414, 0.0], [0.32561411060127976, 0.0], [0.09255634472616897, 0.0], [-0.7209112308002159, 0.0], [-0.31881477922634094, 0.0], [-0.013863191745105408, 0.0], [-0.4601542472901864, 0.0], [0.7444967388132138, 0.0], [-0.9829099067890601, 0.0], [0.8294725780197215, 0.0], [-0.904678266076583, 0.0], [2.0019528243004507, 0.0], [-0.5312029066555312, 0.0], [0.12259665735210142, 0.0], [-0.07209234874620257, 0.0], [1.1944446436222476, 0.0], [0.5402998696177002, 0.0], [1.2854565822031532, 0.0], [-0.4568814864909007, 0.0], [-0.724279178484534, 0.0], [1.2311584079407552, 0.0], [-0.15176082564211657, 0.0], [0.38673118469679735, 0.0], [1.2603719442105241, 0.0], [0.5977168553174803, 0.0], [0.2078014615346319, 0.0], [1.0121124811976354, 0.0], [-0.6712063999497259, 0.0], [0.4621526278090425, 0.0], [-0.07843360353998642, 0.0], [-1.3761469108169984, 0.0], [-0.1044995893221791, 0.0], [-1.1282342833360932, 0.0], [0.958696370192609, 0.0], [0.33653306653949755, 0.0], [-0.08305326862184773, 0.0], [-1.7916156884957983, 0.0], [0.24511959360741228, 0.0], [-0.24075525758774632, 0.0], [1.0272759597001764, 0.0], [0.7844735089798816, 0.0], [-0.1575892181688747, 0.0], [0.6032440574902301, 0.0], [-0.209828823373878, 0.0], [-0.10094618681097096, 0.0], [-0.35438519849795236, 0.0], [-0.36119938673466573, 0.0], [-0.5601212995579641, 0.0], [-1.7743867853040438, 0.0], [-0.09697682737444267, 0.0]], 'angles': [-0.3206245798152728, -0.40816238675431427, None, -0.20345851929508593, -0.11760497973351997, -0.42517033524695697, -0.2080661907436104, -0.20786698852846805, -0.12213747427706804, None, -0.22533243506378103, -0.13658261655256035, -0.29248145322445646, -0.2633255813052882, -0.06121231666099206, -0.21273862839488766, -0.28322963029856735, -0.274845841604118, -0.26067089596214243, -0.21601398151805132, -0.09406852712104471, -0.2469448192641249, -0.31590979271804354, -0.22502096379776193, -0.446036993120479, -0.11084021088451136, -0.18756054531430444, -0.27344513229419326, -0.3120803976590061, -0.1900460626794771, -0.3430801286154032, -0.22142810505757052, -0.41242550257370875, -0.19556771598714148, -0.36462693244199906, -0.21292728798637423, -0.23796076834466115, -0.28745644653921787, -0.22377505885212456, -0.060795324432235794, -0.2715546867273644, -0.13303840061512318, -0.19199422869350422, -0.2371579108852448, -0.3113942386319626, -0.23199921784673422, -0.2817684609766519, -0.20602459391816186, -0.19326274836643542, -0.20475319582189422, -0.3676809342573699, -0.24580027441695518, -0.2874806955990604, -0.3614842510623123, -0.2346750988094201, -0.14390150409054606, -0.3768353554233377, -0.3660483052081897, -0.15714705415948085, -0.21701458296390594, -0.4154198341159438, -0.21345432820695975, -0.22295813657990693, -0.2091920494378766, -0.4154912663903734, -0.3573074348739813, -0.27879633552102295, -0.23842374184313245, -0.1855493109323846, -0.2981141964437021, -0.3083934489117886, -0.1285621649424719, -0.3524033676855943, -0.35816458951323704, -0.11153077390681626, -0.14596354803555434, -0.27642983974048335, -0.310411523025045, -0.2227821869648433, -0.29417294019756873, -0.11344459682324023, -0.15578276745228503, -0.368220650662454, -0.15678482957143766, -0.2047817351726896, -0.18098417875828443, -0.2440974134497512, -0.24449151547336848, -0.4552332813580084, -0.3975608018122471, -0.19292254797424763, -0.32136531228543624, -0.38115642823784507, -0.24030930231631042, -0.19712216702183671, -0.3326037520883786, -0.2826225817091561, -0.2254310879486259, -0.2754767978966819, -0.13415100310222944, -0.3181527885794643, -0.13884920034410198, -0.3732257302741212, -0.26356155751574784, -0.36475450476613264, -0.12584810738381388, -0.33845957279827305, -0.22384296899818393, -0.11219728737749701, -0.3545831187281829, -0.36183041638383423, -0.2585338653386155, -0.31007418479765175, -0.20855627534262136, -0.14705671217299346, -0.26416831345410025, -0.39476762205200394, -0.1596230983376681, -0.17625373707020034, -0.20275546307244308, -0.2644148659431706, -0.41626166553053556, -0.16238793403863716, -0.21295725813371497, -0.12325243971607898, -0.24386258586700524, -0.3531301135786488, -0.24697506197222638, -0.32389497078696694, -0.19330192307200975, -0.2597045108370298, -0.2412517223477728, -0.2148827741297464, -0.19519527732898193, -0.24252427502377014, -0.14947757154047736, -0.16528203195616184, -0.21573692267008474, -0.34947386342420816, -0.3455272843979633, -0.2066639661868576, -0.29835030457618494, -0.3566705561106951, -0.23695298275116705, -0.24376926855878864, -0.27322630531515535, -0.07631591023375688, -0.33575128443455504, -0.1954862033507465, -0.19587309821489035, -0.29419154793701036, -0.30670330201389534, -0.22647900866689624, -0.24889287023087017, -0.39240965366068375, -0.2823089324212987, -0.312684945847945, -0.11878076328074555, -0.3105232136326996, -0.23935159986532512, -0.2064877374929659, -0.2426319685324526, -0.20646336378373673, -0.14446106015539237, -0.1655514080620184, -0.34539168469261033, -0.18585069839262625, -0.27890192274324377], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.3111078174659819, 'hecke_orbit': 4, 'hecke_orbit_code': 13510798915666065, 'label': '145.2.a.d.1.1', 'level': 145, '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

  
  {'ALdims': [1, 3, 3, 2], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [0, 1, 1, 1], 'ALdims_old': [0, 2, 0, 2], 'Nk2': 580, 'analytic_conductor': 1.1578308293085655, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [145, 1, [117, 31], [1, 1]], 'conrey_index': 1, 'cusp_dim': 13, 'dim': 9, 'eis_dim': 3, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 33554577, 'hecke_orbit_dims': [1, 2, 3, 3], 'label': '145.2.a', 'level': 145, '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': True, 'level_primes': [5, 29], 'level_radical': 145, 'mf_dim': 16, 'mf_new_dim': 9, 'num_forms': 4, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 9, 'sturm_bound': 30, 'trace_bound': 2, 'trace_display': [1, -4, 1, -4], 'traces': [9, 1, -4, 7, 1, 4, -4, 9, 5, -3, 0, -16, -10, -8, 0, 7, -6, -7, -16, -1, 0, 12, 20, -12, 9, -2, 8, 4, 1, -4, -4, 9, -8, -18, 4, -21, 6, -12, 32, -15, -22, 8, -12, 0, 5, 40, 8, -12, 1, 1, -8, -6, 14, 24, -4, -24, -8, 1, 4, -12, -2, 40, 12, 15, -2, -16, 16, -38, 16, 12, 32, -31, -26, -46, -4, 16, 4, -24, 4, -1, -15, 26, 16, -16, -2, 12, -8, 52, 26, 13, -24, -4, 0, 8, -12, 4, -34, 69, 16, 7, 38, 12, -4, 14, 0, 6, 16, 32, -34, -4, -8, -84, -18, 16, -12, 7, -58, -8, 32, 28, 13, -34, 32, -44, 1, 8, -24, 5, -32, -18, 8, 48, -12, 28, 24, -42, -14, -40, 4, 44, 0, 68, -16, -5, -3, -26, -60, -10, -26, 4, -32, 36, -22, -56, -32, 16, -22, -32, -8, -3, 16, -19, -20, -42, 24, -4, 68, 0, -33, 6, 8, 16, -10, 12, -4, -8, 40, 18, -44, 3, 22, -32, 24, 112, -22, -16, 56, 52, -40, -12, -20, 8, -14, 6, 0, 31, -74, -44, 16, 9, 24, -18, -8, 120, -6, 16, 44, 18, 16, -24, -8, 66, 24, 44, -8, -8, -44, 10, -8, -36, -4, 116, 28, -112, 5, -34, 56, -8, -34, 28, 16, -3, 90, 54, -4, -4, 40, 56, 8, 8, -30, -135, 20, 42, 9, -24, 16, 16, 24, -3, -16, 60, 68, -40, -24, -25, 50, -92, 40, -22, 5, -84, 16, -88, 6, -88, -32, -64, 14, 0, 52, -162, 48, 22, 0, -24, 54, -52, -28, 52, -54, 28, -24, 144, 32, 24, 48, -15, 43, -7, 8, -162, -22, -124, 12, -54, -72, 86, -40, -16, 72, -36, -80, 80, -2, 38, 12, -92, -96, 16, -12, 48, 18, -54, -36, 4, -18, 40, 8, -65, 32, 12, -64, -49, -10, 36, -16, -54, 80, -40, -48, 40, 70, -8, 32, 72, -2, -41, -24, 30, 48, -60, -80, 76, 56, -26, 16, 4, 30, -8, 0, 60, -86, 16, 8, 102, 40, 52, 108, -7, -43, -46, -60, -88, -6, 64, 96, -4, 26, 18, 8, 160, 46, -136, 0, 88, -10, -8, 88, -20, 32, 120, 52, -12, -12, 86, -92, 78, -74, 32, -56, 85, -80, 30, 8, -72, 14, -52, -16, 7, -30, -104, -8, -46, -31, -24, -128, 36, -78, 58, 40, -60, 32, -32, 48, 54, -128, 36, 20, -56, 54, 68, 104, 14, -6, 16, -24, -144, 80, 60, -32, 152, -14, 8, -4, 2, -28, 76, -56, 12, -51, -36, 28, -72, -54, -80, -8, -92, 98, -7, -80, -58, 120, -108, 16, -16, -6, 22, -160, -44, -82, 40, 4, 15, -24, 138, 12, 10, 0, -16, 8, -48, -32, 168, -16, 136, 62, 52, 20, 20, -60, 2, -88, 3, 34, -100, -76, -10, 144, 17, 48, 0, 6, 120, -60, -60, 112, 48, 36, -1, -8, 156, -40, 128, 6, -120, -108, 36, -98, -60, -40, 125, -8, 2, 28, 32, 152, 64, -120, 14, -54, -23, -24, 104, 0, -112, 128, 0, 65, -34, -28, -188, -20, 8, 8, 44, 112, -2, 48, -16, 70, 80, -24, -122, 14, 16, -120, 2, -34, 12, 8, -232, 20, -98, 24, -68, -2, -8, 0, 28, 8, -210, -52, -96, -30, -36, -20, 44, 42, 48, 44, 96, -24, 176, 20, -77, 114, 111, 8, -5, -32, -124, 16, -98, 30, 98, -48, 56, -64, -48, 72, -46, 10, 136, -48, 26, -136, -48, -36, -12, -6, 176, 40, -144, -35, 48, 80, 92, 16, -90, -72, 138, -90, 20, 0, -8, -26, -120, 40, -48, -8, 48, -40, -64, 9, 130, -40, -142, -84, -12, 64, -200, -72, 10, 44, -136, -18, 16, 96, -51, 34, 8, -136, -80, -24, -80, 20, 149, 88, -2, 112, -96, -46, 8, -4, -66, 214, -88, -48, 56, 6, 84, 56, -124, 12, -38, -16, 140, 40, 64, 48, 144, 50, 54, 8, -47, -118, 124, 80, 102, 40, -76, 128, -32, 54, -16, -48, -116, -44, -80, -28, -62, 20, -92, 36, -4, -60, 110, -80, 4, 30, -48, 56, 144, 88, 2, -112, 40, -58, -36, 116, 170, 36, -24, 64, 28, 136, 48, 24, 75, 48, 129, -112, -22, 1, 116, -72, -112, -19, 78, 40, -24, -90, -8, -48, -8, 28, 50, 96, 74, -16, -96, -8, -112, 38, -18, 64, -88, -80, -4, -44, 24, -32, 30, -32, 24, 50, -28, -208, -60, -102, -36, 112, 164, -90, -8, 48, 124, -54, 48, -112, 42, 94, 44, -4, -2, -152, -122, -16, 48, 40, -208, -8, 191, -10, 32, 128, -54, 64, -64, 88, 84, 84, 190, 24, 96, -150, 104, -64, 9, -110, 158, 48, 0, 40, -16, 200, 38, -110, 17, 68, -24, 32, 128, -32, -56, -32, -142, -24, 30, -90, -244, -16, 24, -8, -24, -4, -180, 54, -72, -40, 82, -38, 64, -60, 32, -120, -64, 36, -24, 9, -98, 96, 120, -25, -136, 12, 122, 136, -18, 0, -296, 110, -192, -12, -164, 90, -96, -24, 68, -112, 72, -4, 104, 6, 142, 228, -12, -48, 4, -16, -206, -130, -40, 4, 152, -26, 108, -152, -60, 90, -51, -72, 4, -16, 28, -160, -20, -160, -30, 32, 92, 104, -232, -52, -56, 112, -30, 20, -21, -124, -32, -112, -170, -18, 96, -28, -192, 174, -32, 116, 32, 4, -126, 8, 2, 68, -72, 0, -12, -96, 94, -104, 80, 6, 8, 4, 25, 146, -80, -24, 254, -64, 84, 48, -154, 10, 116, 152, -24, -66, -108, 64, -116, 24, -56, 20, -96, -116, -12, 88, 296, -14, -98, -48, -104, -8, -24, 96, 68, 57, 132, 96, 110, -74, -64, -24, 89, -16, 22, 72, -48, 16, 216, 32, 58, -22, -52, -80, -81, -58, -220, -16, -48, -42, 6, -176, 80, 56, 92, 152, -32, 104, -8, 32, -136, -38, -252, -32, -15], '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: 42575773
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798915666065, 'source_is_minimal': True, 'source_label': '145.2.a.d.1.1', 'source_level': 145, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915666065, 'target_is_minimal': True, 'target_label': '145.2.a.d.1.1', 'target_level': 145, 'twist_class_label': '145.2.a.d.1.1', 'twist_class_level': 145, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 42575774
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798915666065, 'source_is_minimal': True, 'source_label': '145.2.a.d.1.1', 'source_level': 145, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 63050394816742681, 'target_is_minimal': False, 'target_label': '1305.2.a.o.1.3', 'target_level': 1305, 'twist_class_label': '145.2.a.d.1.1', 'twist_class_level': 145, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 42575775
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798915666065, 'source_is_minimal': True, 'source_label': '145.2.a.d.1.1', 'source_level': 145, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 81064793326225680, 'target_is_minimal': False, 'target_label': '2320.2.a.s.1.3', 'target_level': 2320, 'twist_class_label': '145.2.a.d.1.1', 'twist_class_level': 145, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 42575776
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798915666065, 'source_is_minimal': True, 'source_label': '145.2.a.d.1.1', 'source_level': 145, 'target_conrey_index': 349, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13510867635143381, 'target_is_minimal': False, 'target_label': '725.2.b.d.349.3', 'target_level': 725, 'twist_class_label': '145.2.a.d.1.1', 'twist_class_level': 145, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 42575777
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798915666065, 'source_is_minimal': True, 'source_label': '145.2.a.d.1.1', 'source_level': 145, 'target_conrey_index': 349, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13510867635143381, 'target_is_minimal': False, 'target_label': '725.2.b.d.349.4', 'target_level': 725, 'twist_class_label': '145.2.a.d.1.1', 'twist_class_level': 145, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 42575778
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798915666065, 'source_is_minimal': True, 'source_label': '145.2.a.d.1.1', 'source_level': 145, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13510798915666645, 'target_is_minimal': False, 'target_label': '725.2.a.d.1.3', 'target_level': 725, 'twist_class_label': '145.2.a.d.1.1', 'twist_class_level': 145, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 42575779
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798915666065, 'source_is_minimal': True, 'source_label': '145.2.a.d.1.1', 'source_level': 145, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444118977, 'target_is_minimal': False, 'target_label': '7105.2.a.p.1.1', 'target_level': 7105, 'twist_class_label': '145.2.a.d.1.1', 'twist_class_level': 145, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 42575780
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798915666065, 'source_is_minimal': True, 'source_label': '145.2.a.d.1.1', 'source_level': 145, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 171136785873642560, 'target_is_minimal': False, 'target_label': '9280.2.a.bm.1.1', 'target_level': 9280, 'twist_class_label': '145.2.a.d.1.1', 'twist_class_level': 145, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 42575781
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798915666065, 'source_is_minimal': True, 'source_label': '145.2.a.d.1.1', 'source_level': 145, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 207165582892606528, 'target_is_minimal': False, 'target_label': '9280.2.a.bu.1.3', 'target_level': 9280, 'twist_class_label': '145.2.a.d.1.1', 'twist_class_level': 145, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 42575782
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798915666065, 'source_is_minimal': True, 'source_label': '145.2.a.d.1.1', 'source_level': 145, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 148618787736787325, 'target_is_minimal': False, 'target_label': '6525.2.a.bh.1.1', 'target_level': 6525, 'twist_class_label': '145.2.a.d.1.1', 'twist_class_level': 145, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 42575783
    {'conductor': 29, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798915666065, 'source_is_minimal': True, 'source_label': '145.2.a.d.1.1', 'source_level': 145, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18014398543040621, 'target_is_minimal': False, 'target_label': '4205.2.a.e.1.3', 'target_level': 4205, 'twist_class_label': '145.2.a.d.1.1', 'twist_class_level': 145, 'twisting_char_label': '29.28', 'twisting_conrey_index': 28, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 388125
    {'charpoly_factorization': [[[5, -1, -3, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 2}
  • id: 388126
    {'charpoly_factorization': [[[-4, -4, 2, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 3}
  • id: 388127
    {'charpoly_factorization': [[[1, 1], 3]], 'hecke_orbit_code': 13510798915666065, 'p': 5}
  • id: 388128
    {'charpoly_factorization': [[[4, -8, 2, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 7}
  • id: 388129
    {'charpoly_factorization': [[[-4, 16, -8, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 11}
  • id: 388130
    {'charpoly_factorization': [[[-8, -4, 6, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 13}
  • id: 388131
    {'charpoly_factorization': [[[76, -40, 0, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 17}
  • id: 388132
    {'charpoly_factorization': [[[52, -28, 0, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 19}
  • id: 388133
    {'charpoly_factorization': [[[-76, 60, -14, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 23}
  • id: 388134
    {'charpoly_factorization': [[[-1, 1], 3]], 'hecke_orbit_code': 13510798915666065, 'p': 29}
  • id: 388135
    {'charpoly_factorization': [[[-4, 20, -12, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 31}
  • id: 388136
    {'charpoly_factorization': [[[68, -40, -4, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 37}
  • id: 388137
    {'charpoly_factorization': [[[-8, 20, 10, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 41}
  • id: 388138
    {'charpoly_factorization': [[[20, 28, 10, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 43}
  • id: 388139
    {'charpoly_factorization': [[[92, 60, -18, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 47}
  • id: 388140
    {'charpoly_factorization': [[[8, 20, -10, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 53}
  • id: 388141
    {'charpoly_factorization': [[[-80, -48, -4, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 59}
  • id: 388142
    {'charpoly_factorization': [[[40, -4, -6, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 61}
  • id: 388143
    {'charpoly_factorization': [[[20, 28, 10, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 67}
  • id: 388144
    {'charpoly_factorization': [[[-368, 176, -24, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 71}
  • id: 388145
    {'charpoly_factorization': [[[-1108, -180, 4, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 73}
  • id: 388146
    {'charpoly_factorization': [[[20, -56, -8, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 79}
  • id: 388147
    {'charpoly_factorization': [[[52, -32, 2, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 83}
  • id: 388148
    {'charpoly_factorization': [[[-200, 124, -22, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 89}
  • id: 388149
    {'charpoly_factorization': [[[452, 348, 36, 1], 1]], 'hecke_orbit_code': 13510798915666065, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 4, 'label': '145.2.a.d', 'level': 145, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 32415097
    {'hecke_orbit_code': 13510798915666065, 'n': 1, 'trace_an': 3}
  • id: 32415098
    {'hecke_orbit_code': 13510798915666065, 'n': 2, 'trace_an': 3}
  • id: 32415099
    {'hecke_orbit_code': 13510798915666065, 'n': 3, 'trace_an': -2}
  • id: 32415100
    {'hecke_orbit_code': 13510798915666065, 'n': 4, 'trace_an': 5}
  • id: 32415101
    {'hecke_orbit_code': 13510798915666065, 'n': 5, 'trace_an': -3}
  • id: 32415102
    {'hecke_orbit_code': 13510798915666065, 'n': 6, 'trace_an': 4}
  • id: 32415103
    {'hecke_orbit_code': 13510798915666065, 'n': 7, 'trace_an': -2}
  • id: 32415104
    {'hecke_orbit_code': 13510798915666065, 'n': 8, 'trace_an': 9}
  • id: 32415105
    {'hecke_orbit_code': 13510798915666065, 'n': 9, 'trace_an': 3}
  • id: 32415106
    {'hecke_orbit_code': 13510798915666065, 'n': 10, 'trace_an': -3}
  • id: 32415107
    {'hecke_orbit_code': 13510798915666065, 'n': 11, 'trace_an': 8}
  • id: 32415108
    {'hecke_orbit_code': 13510798915666065, 'n': 12, 'trace_an': -2}
  • id: 32415109
    {'hecke_orbit_code': 13510798915666065, 'n': 13, 'trace_an': -6}
  • id: 32415110
    {'hecke_orbit_code': 13510798915666065, 'n': 14, 'trace_an': -12}
  • id: 32415111
    {'hecke_orbit_code': 13510798915666065, 'n': 15, 'trace_an': 2}
  • id: 32415112
    {'hecke_orbit_code': 13510798915666065, 'n': 16, 'trace_an': 5}
  • id: 32415113
    {'hecke_orbit_code': 13510798915666065, 'n': 17, 'trace_an': 0}
  • id: 32415114
    {'hecke_orbit_code': 13510798915666065, 'n': 18, 'trace_an': -13}
  • id: 32415115
    {'hecke_orbit_code': 13510798915666065, 'n': 19, 'trace_an': 0}
  • id: 32415116
    {'hecke_orbit_code': 13510798915666065, 'n': 20, 'trace_an': -5}
  • id: 32415117
    {'hecke_orbit_code': 13510798915666065, 'n': 21, 'trace_an': 0}
  • id: 32415118
    {'hecke_orbit_code': 13510798915666065, 'n': 22, 'trace_an': 2}
  • id: 32415119
    {'hecke_orbit_code': 13510798915666065, 'n': 23, 'trace_an': 14}
  • id: 32415120
    {'hecke_orbit_code': 13510798915666065, 'n': 24, 'trace_an': -20}
  • id: 32415121
    {'hecke_orbit_code': 13510798915666065, 'n': 25, 'trace_an': 3}
  • id: 32415122
    {'hecke_orbit_code': 13510798915666065, 'n': 26, 'trace_an': 10}
  • id: 32415123
    {'hecke_orbit_code': 13510798915666065, 'n': 27, 'trace_an': -8}
  • id: 32415124
    {'hecke_orbit_code': 13510798915666065, 'n': 28, 'trace_an': -22}
  • id: 32415125
    {'hecke_orbit_code': 13510798915666065, 'n': 29, 'trace_an': 3}
  • id: 32415126
    {'hecke_orbit_code': 13510798915666065, 'n': 30, 'trace_an': -4}
  • id: 32415127
    {'hecke_orbit_code': 13510798915666065, 'n': 31, 'trace_an': 12}
  • id: 32415128
    {'hecke_orbit_code': 13510798915666065, 'n': 32, 'trace_an': 11}
  • id: 32415129
    {'hecke_orbit_code': 13510798915666065, 'n': 33, 'trace_an': -16}
  • id: 32415130
    {'hecke_orbit_code': 13510798915666065, 'n': 34, 'trace_an': -14}
  • id: 32415131
    {'hecke_orbit_code': 13510798915666065, 'n': 35, 'trace_an': 2}
  • id: 32415132
    {'hecke_orbit_code': 13510798915666065, 'n': 36, 'trace_an': -15}
  • id: 32415133
    {'hecke_orbit_code': 13510798915666065, 'n': 37, 'trace_an': 4}
  • id: 32415134
    {'hecke_orbit_code': 13510798915666065, 'n': 38, 'trace_an': -2}
  • id: 32415135
    {'hecke_orbit_code': 13510798915666065, 'n': 39, 'trace_an': 16}
  • id: 32415136
    {'hecke_orbit_code': 13510798915666065, 'n': 40, 'trace_an': -9}
  • id: 32415137
    {'hecke_orbit_code': 13510798915666065, 'n': 41, 'trace_an': -10}
  • id: 32415138
    {'hecke_orbit_code': 13510798915666065, 'n': 42, 'trace_an': 16}
  • id: 32415139
    {'hecke_orbit_code': 13510798915666065, 'n': 43, 'trace_an': -10}
  • id: 32415140
    {'hecke_orbit_code': 13510798915666065, 'n': 44, 'trace_an': 12}
  • id: 32415141
    {'hecke_orbit_code': 13510798915666065, 'n': 45, 'trace_an': -3}
  • id: 32415142
    {'hecke_orbit_code': 13510798915666065, 'n': 46, 'trace_an': 8}
  • id: 32415143
    {'hecke_orbit_code': 13510798915666065, 'n': 47, 'trace_an': 18}
  • id: 32415144
    {'hecke_orbit_code': 13510798915666065, 'n': 48, 'trace_an': -10}
  • id: 32415145
    {'hecke_orbit_code': 13510798915666065, 'n': 49, 'trace_an': -1}
  • id: 32415146
    {'hecke_orbit_code': 13510798915666065, 'n': 50, 'trace_an': 3}
  • id: 32415147
    {'hecke_orbit_code': 13510798915666065, 'n': 51, 'trace_an': 8}
  • id: 32415148
    {'hecke_orbit_code': 13510798915666065, 'n': 52, 'trace_an': 10}
  • id: 32415149
    {'hecke_orbit_code': 13510798915666065, 'n': 53, 'trace_an': 10}
  • id: 32415150
    {'hecke_orbit_code': 13510798915666065, 'n': 54, 'trace_an': 12}
  • id: 32415151
    {'hecke_orbit_code': 13510798915666065, 'n': 55, 'trace_an': -8}
  • id: 32415152
    {'hecke_orbit_code': 13510798915666065, 'n': 56, 'trace_an': -32}
  • id: 32415153
    {'hecke_orbit_code': 13510798915666065, 'n': 57, 'trace_an': -20}
  • id: 32415154
    {'hecke_orbit_code': 13510798915666065, 'n': 58, 'trace_an': 3}
  • id: 32415155
    {'hecke_orbit_code': 13510798915666065, 'n': 59, 'trace_an': 4}
  • id: 32415156
    {'hecke_orbit_code': 13510798915666065, 'n': 60, 'trace_an': 2}
  • id: 32415157
    {'hecke_orbit_code': 13510798915666065, 'n': 61, 'trace_an': 6}
  • id: 32415158
    {'hecke_orbit_code': 13510798915666065, 'n': 62, 'trace_an': 14}
  • id: 32415159
    {'hecke_orbit_code': 13510798915666065, 'n': 63, 'trace_an': 18}
  • id: 32415160
    {'hecke_orbit_code': 13510798915666065, 'n': 64, 'trace_an': 33}
  • id: 32415161
    {'hecke_orbit_code': 13510798915666065, 'n': 65, 'trace_an': 6}
  • id: 32415162
    {'hecke_orbit_code': 13510798915666065, 'n': 66, 'trace_an': 12}
  • id: 32415163
    {'hecke_orbit_code': 13510798915666065, 'n': 67, 'trace_an': -10}
  • id: 32415164
    {'hecke_orbit_code': 13510798915666065, 'n': 68, 'trace_an': -36}
  • id: 32415165
    {'hecke_orbit_code': 13510798915666065, 'n': 69, 'trace_an': -20}
  • id: 32415166
    {'hecke_orbit_code': 13510798915666065, 'n': 70, 'trace_an': 12}
  • id: 32415167
    {'hecke_orbit_code': 13510798915666065, 'n': 71, 'trace_an': 24}
  • id: 32415168
    {'hecke_orbit_code': 13510798915666065, 'n': 72, 'trace_an': -3}
  • id: 32415169
    {'hecke_orbit_code': 13510798915666065, 'n': 73, 'trace_an': -4}
  • id: 32415170
    {'hecke_orbit_code': 13510798915666065, 'n': 74, 'trace_an': -22}
  • id: 32415171
    {'hecke_orbit_code': 13510798915666065, 'n': 75, 'trace_an': -2}
  • id: 32415172
    {'hecke_orbit_code': 13510798915666065, 'n': 76, 'trace_an': 16}
  • id: 32415173
    {'hecke_orbit_code': 13510798915666065, 'n': 77, 'trace_an': -4}
  • id: 32415174
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  • id: 32415175
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  • id: 32415176
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  • id: 32415177
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  • id: 32415178
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  • id: 32415179
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  • id: 32415180
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  • id: 32415181
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  • id: 32415182
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  • id: 32415183
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  • id: 32415184
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  • id: 32415185
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  • id: 32415186
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  • id: 32415187
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  • id: 32415188
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  • id: 32415189
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  • id: 32415190
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  • id: 32415191
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  • id: 32415192
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  • id: 32415193
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  • id: 32415194
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  • id: 32415195
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  • id: 32415196
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  • id: 32415197
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  • id: 32415198
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  • id: 32415199
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  • id: 32415200
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  • id: 32415201
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  • id: 32415202
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  • id: 32415203
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  • id: 32415204
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  • id: 32415205
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  • id: 32415206
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  • id: 32415207
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  • id: 32415208
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  • id: 32415209
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  • id: 32415210
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  • id: 32415211
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  • id: 32415212
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  • id: 32415213
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  • id: 32415214
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  • id: 32415215
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  • id: 32415216
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  • id: 32415217
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  • id: 32415218
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  • id: 32415219
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  • id: 32415220
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  • id: 32415221
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  • id: 32415222
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  • id: 32415223
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  • id: 32415224
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  • id: 32415225
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  • id: 32415226
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  • id: 32415227
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  • id: 32415228
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  • id: 32415229
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  • id: 32415230
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  • id: 32415231
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  • id: 32415232
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  • id: 32415233
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  • id: 32415234
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  • id: 32415235
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  • id: 32415236
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  • id: 32415237
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  • id: 32415238
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  • id: 32415239
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  • id: 32415240
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  • id: 32415241
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  • id: 32415242
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  • id: 32415243
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  • id: 32415244
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  • id: 32415245
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  • id: 32415246
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  • id: 32415247
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  • id: 32415248
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  • id: 32415249
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  • id: 32415250
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  • id: 32415251
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  • id: 32415252
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  • id: 32415253
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  • id: 32415254
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  • id: 32415255
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  • id: 32415256
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  • id: 32415257
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  • id: 32415258
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  • id: 32415259
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  • id: 32415260
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  • id: 32415261
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  • id: 32415262
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  • id: 32415263
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  • id: 32415264
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  • id: 32415265
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  • id: 32415266
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  • id: 32415267
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  • id: 32415268
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  • id: 32415269
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  • id: 32415270
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  • id: 32415271
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  • id: 32415272
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  • id: 32415273
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  • id: 32415274
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  • id: 32415275
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  • id: 32415276
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  • id: 32415277
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  • id: 32415278
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  • id: 32415279
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  • id: 32415280
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  • id: 32415281
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  • id: 32415282
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  • id: 32415283
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  • id: 32415284
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  • id: 32415285
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  • id: 32415286
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  • id: 32415287
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  • id: 32415288
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  • id: 32415289
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  • id: 32415290
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  • id: 32415291
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  • id: 32415292
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  • id: 32415293
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  • id: 32415294
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  • id: 32415295
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  • id: 32415296
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  • id: 32415297
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  • id: 32415298
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  • id: 32415299
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  • id: 32415300
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  • id: 32415301
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  • id: 32415302
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  • id: 32415303
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  • id: 32415304
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  • id: 32415305
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  • id: 32415306
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  • id: 32415307
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  • id: 32415308
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  • id: 32415309
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  • id: 32415310
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  • id: 32415311
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  • id: 32415312
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  • id: 32415313
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  • id: 32415314
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  • id: 32415315
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  • id: 32415316
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  • id: 32415317
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  • id: 32415318
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  • id: 32415319
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  • id: 32415320
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  • id: 32415321
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  • id: 32415322
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  • id: 32415323
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  • id: 32415324
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  • id: 32415325
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  • id: 32415326
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  • id: 32415327
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  • id: 32415328
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  • id: 32415329
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  • id: 32415330
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  • id: 32415331
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  • id: 32415332
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  • id: 32415333
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  • id: 32415334
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  • id: 32415335
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  • id: 32415336
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  • id: 32415337
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  • id: 32415338
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  • id: 32415339
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  • id: 32415340
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  • id: 32415341
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  • id: 32415342
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  • id: 32415343
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  • id: 32415344
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  • id: 32415345
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  • id: 32415346
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  • id: 32415347
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  • id: 32415348
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  • id: 32415349
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  • id: 32415350
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  • id: 32415351
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  • id: 32415352
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  • id: 32415353
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  • id: 32415354
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