Embedded newform data - 6525.2.a.p.1.2

Formats: - HTML - YAML - JSON - 2025-06-20T20:19:59.162637

• 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': 26100, 'analytic_conductor': 52.10238731888545, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [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': [6525, 1, [1451, 4177, 901], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-1, 2, 1]], [7, [-4, -4, 1]], [11, [-4, -4, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444118397, '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': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '6525.2.a.p', 'level': 6525, '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': [3, 5, 29], 'level_radical': 435, 'minimal_twist': '145.2.a.b', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1+\\beta )q^{2}+(1-2\\beta )q^{4}+(2+2\\beta )q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '6525.2.a', 'trace_display': [-2, 0, 0, 4], 'trace_hash': 325663182738425796, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.899', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.614', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '69.568', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.019', 'prec': 17}, 'traces': [2, -2, 0, 2, 0, 0, 4, -6, 0, 0, 4, 0, 4, 4, 0, 6, 0, 0, -4, 0, 0, -12, -12, 0, 0, -4, 0, -12, -2, 0, -4, 6, 0, 8, 0, 0, 0, -4, 0, 0, 12, 0, 12, 20, 0, 20, -12, 0, 10, 0, 0, 4, 4, 0, 0, -4, 0, 2, 0, 0, 4, 28, 0, -14, 0, 0, 4, -16, 0, 0, 8, 0, 0, 24, 0, 12, -8, 0, 12, 0, 0, -12, 20, 0, 0, -12, 0, -20, 4, 0, 8, -28, 0, -4, 0, 0, 8, 22, 0, 0, -20, 0, -4, -12, 0, -20, 12, 0, 4, 0, 0, 12, 0, 0, 0, -2, 0, 0, 16, 0, 2, -20, 0, -52, 0, 0, -12, 10, 0, 0, -4, 0, -24, -28, 0, 8, -16, 0, 32, 0, 0, 24, 8, 0, 0, -24, 0, -48, 4, 0, -24, 4, 0, 8, 0, 0, 16, -36, 0, 0, -8, 0, 28, 12, 0, -28, 12, 0, -18, 0, 0, 12, 12, 0, 0, 12, 0, 12, 24, 0, -12, 8, 0, 44, 0, 0, -16, 20, 0, 0, 36, 0, 8, 16, 0, -54, -28, 0, 24, 0, 0, 4, -4, 0, 0, -36, 0, 12, 8, 0, 4, 36, 0, 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• 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

  
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-0.3834057996885497, -0.2136503331718695, -0.20620195068259248, -0.1364964212306619, -0.3120495120728923, -0.2679306231555761, -0.08673468660334371, -0.3996675249647227, -0.2467802606582386, -0.2696021570338977, -0.37862232839074395, -0.3216973541937302, -0.4141422929490693, -0.20793653376760782, -0.16367862389039894, -0.24225265660458145, -0.22005315262571348, -0.33720018717945605, -0.324241050740559, -0.3741531167391891, -0.08241925636492041, -0.29703123981703194, -0.35793181067566343, -0.14430256348180887, -0.268621551323078, -0.2333796053724356, -0.18972850831778057, -0.2128081016585206, -0.06952544345017439, -0.12226501058085033, -0.408848123094507, -0.21739591805632744, -0.29539145843271275, -0.24455336744079362, -0.22803565915844873, -0.35899073542339194, -0.26444250701357536, -0.2553501165175852, -0.18171702540134602, -0.2436372080721814, -0.15097645634361995, -0.2994912230616758, -0.18583798702242105, -0.2914523822866898, -0.07550399802460682, -0.09676625325821206, -0.32970467599849884, -0.4303616832090538, -0.22977157767744213, -0.32230578933958065, -0.277153780511071, -0.4712123801079884, -0.18627642781140835, -0.1586997523001293, -0.3173178157917135, -0.3488540809504414, -0.34834204320933465, -0.13735428526781754, -0.13109295096361834, -0.32082439601498053, -0.2601158073967085, -0.1432563704139144, -0.26632301776894857, -0.135486575697549, -0.3358686573456153, -0.132189615973535, -0.3949688778822039, -0.2599606614493562, -0.3471155120586307, -0.23364049837193007, -0.1558480287359254, -0.20658961120523464, -0.3595715886984089, -0.15982918634559543, -0.2256096878760833, -0.3749248962082435, -0.2637691170973105, -0.18246960389475322, -0.29158232544730006, -0.39340639181756054, -0.40987534212159954, -0.3435622988944579, -0.3693390728731598, -0.44240840276065413, -0.16537048938778093, -0.19513452165407, -0.21922999527816797, -0.24430388240066045, -0.387336659930294, -0.2911044254884533, -0.43228774500424305, -0.24435285368633508, -0.27366487780904636, -0.20636067818040948, -0.11046942203926058, -0.33423334201159444, -0.1209644433111809, -0.11997251672054303, -0.22358950906666655, -0.279728285151797, -0.36908811629707433, -0.3599537337332895, -0.15162044900114038, -0.288899102268371, -0.2650015053495089, -0.36384865494596563, -0.2564575492702841, -0.2505218677500113, -0.4418931267613385, -0.19276729349556126, -0.30998180852881363, -0.2725325476593277, -0.12086055192208849, -0.17466857929360616, -0.21858785517696674, -0.33819319680810306, -0.14093104205605841, -0.24161317553882153, -0.2464292648986991, -0.12186122203793974, -0.24226292903933364, -0.288672430747779, -0.2092172627101511, -0.2573529721802489, -0.3439579623576407, -0.37058924004324856, -0.28201507025151695, -0.1723321803854987, -0.08159117413992943, -0.1619320937314596, -0.26873875667973013, -0.2686844001228348, -0.2086385048484376, -0.22051785673356422, -0.10963064386672815, -0.24975311936230654, -0.227957032875268, -0.08877480261851342, -0.2505918094982182, -0.3234517695733675, -0.3976860412306975, -0.24774058816347316, -0.24656170743514172, -0.18924991974797625, -0.2304830981056677, -0.2819697089929362, -0.22200585849131657, -0.12303086606863274, -0.3210634706087487, -0.3153033666231089, -0.27812186678951484, -0.46151078399691514, -0.37827885200310024, -0.385707498538999, -0.22007586872660723, -0.18719262810779574, -0.3881784955557583, -0.20374328120282093, -0.39924973954392984, -0.3169565727278297, -0.1582946525308444, -0.22462964833572682, -0.15382519134268316, -0.19875669232815174, -0.26842297014498023, -0.21397713319497622, -0.28645529166542405, -0.11647953881047989, -0.17803027165326937, -0.2762674417761037, -0.28784847408838576, -0.2834214361343971, -0.23240819239831498, -0.36079410594499084, -0.2590717116720505, -0.2996793018664027, -0.3160549126340424, -0.23289986505886384, -0.18657740714465382, -0.35187581697971976, -0.19857922630578814, -0.3522038215646211, -0.17386032912381677, -0.16784717155407936, -0.33901073766697365, -0.3525675895049856, -0.40983084825211713, -0.1275015466807742, -0.34606758125721365, -0.2314556666337332, -0.1960874125018008, -0.1450123444626889, -0.25414011965497285, -0.21399194563762913, -0.2188694372952956, -0.3121802315146405, -0.2984790094644654, -0.25935307363398813, -0.07927216011574205, -0.3476804961432655, -0.37791093920177554, -0.16404168917242534, -0.0708178091687446, -0.2221711072136364, -0.2999427273620821, -0.3565452160955293, -0.11885458905518086, -0.37278275439243813, -0.12374739514178655, -0.22907230677851262, -0.27516627419749473, -0.26204780898478347, -0.18177158101074212, -0.21276335936038954, -0.3727813651689962, -0.25, -0.24338213461740552, -0.21008084926934373, -0.13819089886127897, -0.17207767556576178, -0.3891204399386528, -0.17980304842470773, -0.34201987452820254, -0.2947585921859665, -0.27001844048496454, -0.14275819688022548, -0.11992223165275659, -0.20428180670451715, -0.3781729542242525, -0.3177209585660177, -0.32267501076607746, -0.2661005375033352, -0.16925750821332156, -0.39174801982739427, -0.18309623927302476, -0.13673918293013415, -0.2864954768581532, -0.1591902502828012, -0.2881719227285738, -0.27668253822170963, -0.17929195366060635, -0.08564395897551604, -0.22867359203410076, -0.3731276755046666, -0.43547789707870366, -0.23405695983552083, -0.11226648094073176, -0.25283410134789785, -0.2888716407909627], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 1.4142135623730951, 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444118397, 'label': '6525.2.a.p.1.2', 'level': 6525, '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': [21, 21, 23, 23, 33, 30, 32, 38], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [79, 96, 90, 84, 78, 81, 77, 71], 'Nk2': 26100, 'analytic_conductor': 52.10238731888545, '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': [6525, 1, [1451, 4177, 901], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 877, 'dim': 221, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 33560957, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 6, 7, 7, 7, 7, 8, 8, 9, 9, 9, 9, 12, 12], 'label': '6525.2.a', 'level': 6525, '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': [3, 5, 29], 'level_radical': 435, 'mf_dim': 924, 'mf_new_dim': 221, 'num_forms': 58, 'plus_dim': 106, 'prim_orbit_index': 1, 'relative_dim': 221, 'sturm_bound': 1800, 'trace_bound': 11, 'trace_display': [-1, 0, 0, -4], 'traces': [221, -1, 0, 223, 0, 0, -4, -9, 0, 0, -2, 0, -4, -24, 0, 227, -10, 0, -4, 0, 0, 6, 4, 0, 0, -8, 0, -24, 3, 0, -6, -9, 0, -2, 0, 0, -6, -8, 0, 0, -2, 0, 26, 10, 0, 20, -14, 0, 189, 0, 0, 28, 20, 0, 0, -48, 0, 1, -36, 0, 6, 10, 0, 223, 0, 0, 0, -46, 0, 0, -76, 0, 26, -2, 0, -44, -44, 0, -30, 0, 0, 22, -36, 0, 0, -90, 0, -26, -30, 0, -52, 20, 0, -74, 0, 0, -14, 23, 0, 0, 10, 0, -32, 8, 0, -36, -12, 0, 68, 0, 0, -48, 2, 0, 0, 9, 0, 4, 56, 0, 267, 50, 0, -190, 0, 0, -28, -145, 0, 0, 32, 0, 20, 48, 0, -26, 26, 0, 8, 0, 0, -64, 46, 0, 0, -74, 0, 34, -24, 0, -96, 44, 0, 20, 0, 0, 38, 26, 0, 0, -40, 0, 22, 78, 0, -84, 48, 0, 233, 0, 0, 86, 90, 0, 0, -58, 0, 74, -92, 0, 68, -52, 0, -40, 0, 0, 44, -38, 0, 0, 36, 0, -50, 106, 0, 279, -34, 0, 20, 0, 0, 110, -8, 0, 0, 172, 0, 80, -140, 0, 30, 56, 0, 84, 0, 0, -4, 8, 0, 0, 16, 0, -40, 36, 0, -94, -36, 0, -18, 0, 0, -3, 88, 0, 0, 12, 0, 76, 16, 0, -8, 61, 0, -202, 0, 0, -44, 110, 0, 0, 86, 0, 8, -36, 0, 83, 64, 0, 76, 0, 0, 84, 22, 0, 0, 312, 0, -132, 6, 0, -42, -26, 0, -138, 0, 0, 46, 36, 0, 0, -116, 0, -20, -20, 0, -50, -56, 0, 299, 0, 0, 138, -66, 0, 0, -106, 0, -32, 52, 0, -40, 116, 0, -56, 0, 0, 18, -80, 0, 0, -20, 0, 0, 74, 0, -90, -54, 0, -6, 0, 0, 172, -108, 0, 0, 98, 0, 198, -20, 0, -66, 56, 0, -200, 0, 0, 86, 35, 0, 0, 58, 0, -104, -154, 0, 122, 8, 0, -112, 0, 0, 38, -118, 0, 0, 94, 0, -48, -38, 0, 273, 76, 0, 84, 0, 0, -28, -8, 0, 0, 12, 0, 16, 156, 0, -206, -4, 0, -188, 0, 0, 44, 16, 0, 0, 186, 0, -62, -18, 0, -192, 179, 0, -46, 0, 0, -16, -40, 0, 0, -68, 0, -50, -2, 0, 4, -172, 0, 54, 0, 0, 16, 72, 0, 0, 232, 0, 208, -76, 0, -122, 78, 0, -188, 0, 0, -176, -288, 0, 0, -112, 0, -74, 308, 0, 12, -28, 0, -32, 0, 0, -140, -16, 0, 0, 52, 0, -116, -54, 0, 100, -162, 0, 48, 0, 0, 82, 142, 0, 0, -142, 0, -168, 5, 0, 312, -106, 0, -252, 0, 0, 28, -154, 0, 0, 524, 0, -32, 90, 0, -92, 36, 0, 137, 0, 0, 28, 358, 0, 0, -18, 0, 14, 184, 0, -382, 108, 0, 116, 0, 0, -154, -30, 0, 0, 20, 0, -160, 44, 0, -56, -225, 0, 60, 0, 0, 10, -36, 0, 0, -164, 0, 32, 384, 0, -86, -40, 0, -63, 0, 0, 4, 108, 0, 0, 380, 0, -174, 318, 0, -202, -14, 0, -170, 0, 0, -200, 138, 0, 0, 32, 0, -52, 278, 0, -308, 178, 0, -198, 0, 0, -128, -222, 0, 0, 12, 0, -240, -182, 0, -144, 242, 0, -348, 0, 0, 114, 117, 0, 0, -112, 0, -18, 182, 0, -258, -52, 0, -172, 0, 0, -2, 120, 0, 0, -312, 0, -36, -54, 0, -66, 188, 0, -76, 0, 0, -98, 300, 0, 0, 30, 0, 116, 2, 0, 88, -58, 0, 386, 0, 0, -104, -96, 0, 0, 92, 0, 102, 140, 0, -160, -162, 0, -14, 0, 0, 116, -38, 0, 0, 6, 0, -24, -8, 0, -124, 132, 0, 244, 0, 0, -94, -38, 0, 0, 410, 0, -76, -482, 0, 158, -390, 0, -132, 0, 0, 20, 268, 0, 0, 352, 0, -4, -506, 0, 435, 22, 0, 52, 0, 0, -114, 128, 0, 0, -160, 0, 238, -94, 0, 368, 250, 0, -280, 0, 0, 308, 196, 0, 0, 108, 0, -40, 94, 0, -278, -48, 0, 44, 0, 0, 62, -16, 0, 0, -184, 0, 66, -16, 0, -260, -113, 0, 112, 0, 0, -84, -392, 0, 0, -32, 0, 162, -48, 0, 8, 116, 0, 158, 0, 0, 104, -180, 0, 0, -228, 0, 192, 96, 0, 32, -78, 0, -88, 0, 0, 10, -220, 0, 0, -222, 0, 112, -144, 0, -72, -92, 0, 122, 0, 0, -418, 126, 0, 0, 90, 0, -122, 24, 0, 28, -224, 0, 215, 0, 0, 60, -46, 0, 0, 188, 0, 176, -40, 0, 112, 38, 0, 244, 0, 0, 96, 156, 0, 0, -38, 0, 250, -282, 0, 168, 0, 0, -280, 0, 0, -36, 10, 0, 0, 88, 0, -52, 216, 0, -32, 242, 0, 46, 0, 0, 104, -138, 0, 0, -204, 0, -556, 54, 0, 221, -190, 0, 58, 0, 0, -124, 176, 0, 0, 0, 0, 46, -492, 0, 108, -28, 0, -290, 0, 0, -124, -124, 0, 0, -210, 0, -76, -70, 0, 120, -312, 0, 428, 0, 0, -48, -44, 0, 0, -366, 0, -152, 32, 0, 136, -122, 0, -240, 0, 0, -452, 136, 0, 0, -444, 0, -34, 22, 0, 52, -232, 0, -286, 0, 0, 48, -528, 0, 0, 130, 0, 136, -378, 0, 298, 116, 0, 52, 0, 0, -10, 208, 0, 0, -308, 0, -15, -138, 0, -92, 316, 0, 230, 0, 0, -318, -304, 0, 0, -108, 0, 64, -32, 0, -222, -138, 0, 188, 0, 0, 504, -184, 0, 0, -72, 0, -354, 364, 0, 35, -80, 0, 180, 0, 0, -154, -27, 0, 0, 224, 0, -56, -112, 0, 286, -140, 0, -236, 0, 0, 38, 338, 0, 0, 34, 0, -204, 176, 0, -404, 38, 0, -384, 0, 0, 102, -580, 0, 0], '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: 47917997
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444118397, 'source_is_minimal': False, 'source_label': '6525.2.a.p.1.2', 'source_level': 6525, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 67553994444118397, 'target_is_minimal': False, 'target_label': '6525.2.a.p.1.2', 'target_level': 6525, 'twist_class_label': '145.2.a.b.1.2', 'twist_class_level': 145, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47917998
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444118397, 'source_is_minimal': False, 'source_label': '6525.2.a.p.1.2', 'source_level': 6525, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288296149, 'target_is_minimal': False, 'target_label': '725.2.a.c.1.1', 'target_level': 725, 'twist_class_label': '145.2.a.b.1.2', 'twist_class_level': 145, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47917999
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444118397, 'source_is_minimal': False, 'source_label': '6525.2.a.p.1.2', 'source_level': 6525, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546795189372185, 'target_is_minimal': False, 'target_label': '1305.2.a.n.1.1', 'target_level': 1305, 'twist_class_label': '145.2.a.b.1.2', 'twist_class_level': 145, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47918000
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444118397, 'source_is_minimal': False, 'source_label': '6525.2.a.p.1.2', 'source_level': 6525, 'target_conrey_index': 349, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268007772885, 'target_is_minimal': False, 'target_label': '725.2.b.c.349.2', 'target_level': 725, 'twist_class_label': '145.2.a.b.1.2', 'twist_class_level': 145, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47918001
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444118397, 'source_is_minimal': False, 'source_label': '6525.2.a.p.1.2', 'source_level': 6525, 'target_conrey_index': 349, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007268007772885, 'target_is_minimal': False, 'target_label': '725.2.b.c.349.3', 'target_level': 725, 'twist_class_label': '145.2.a.b.1.2', 'twist_class_level': 145, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 47918002
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444118397, 'source_is_minimal': False, 'source_label': '6525.2.a.p.1.2', 'source_level': 6525, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503599660925073, 'target_is_minimal': True, 'target_label': '145.2.a.b.1.2', 'target_level': 145, 'twist_class_label': '145.2.a.b.1.2', 'twist_class_level': 145, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 47918003
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444118397, 'source_is_minimal': False, 'source_label': '6525.2.a.p.1.2', 'source_level': 6525, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45035996307261712, 'target_is_minimal': False, 'target_label': '2320.2.a.k.1.2', 'target_level': 2320, 'twist_class_label': '145.2.a.b.1.2', 'twist_class_level': 145, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 47918004
    {'conductor': 105, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444118397, 'source_is_minimal': False, 'source_label': '6525.2.a.p.1.2', 'source_level': 6525, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014398543043521, 'target_is_minimal': False, 'target_label': '7105.2.a.e.1.2', 'target_level': 7105, 'twist_class_label': '145.2.a.b.1.2', 'twist_class_level': 145, 'twisting_char_label': '105.104', 'twisting_conrey_index': 104, 'weight': 2}
  • id: 47918005
    {'conductor': 120, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444118397, 'source_is_minimal': False, 'source_label': '6525.2.a.p.1.2', 'source_level': 6525, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 135107988854678592, 'target_is_minimal': False, 'target_label': '9280.2.a.be.1.1', 'target_level': 9280, 'twist_class_label': '145.2.a.b.1.2', 'twist_class_level': 145, 'twisting_char_label': '120.29', 'twisting_conrey_index': 29, 'weight': 2}
  • id: 47918006
    {'conductor': 120, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444118397, 'source_is_minimal': False, 'source_label': '6525.2.a.p.1.2', 'source_level': 6525, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 99079191835714624, 'target_is_minimal': False, 'target_label': '9280.2.a.w.1.2', 'target_level': 9280, 'twist_class_label': '145.2.a.b.1.2', 'twist_class_level': 145, 'twisting_char_label': '120.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 47918007
    {'conductor': 435, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444118397, 'source_is_minimal': False, 'source_label': '6525.2.a.p.1.2', 'source_level': 6525, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915670125, 'target_is_minimal': False, 'target_label': '4205.2.a.d.1.1', 'target_level': 4205, 'twist_class_label': '145.2.a.b.1.2', 'twist_class_level': 145, 'twisting_char_label': '435.434', 'twisting_conrey_index': 434, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4212925
    {'charpoly_factorization': [[[-1, 2, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 2}
  • id: 4212926
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444118397, 'p': 3}
  • id: 4212927
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444118397, 'p': 5}
  • id: 4212928
    {'charpoly_factorization': [[[-4, -4, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 7}
  • id: 4212929
    {'charpoly_factorization': [[[-4, -4, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 11}
  • id: 4212930
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 67553994444118397, 'p': 13}
  • id: 4212931
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 17}
  • id: 4212932
    {'charpoly_factorization': [[[-4, 4, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 19}
  • id: 4212933
    {'charpoly_factorization': [[[28, 12, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 23}
  • id: 4212934
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 67553994444118397, 'p': 29}
  • id: 4212935
    {'charpoly_factorization': [[[-68, 4, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 31}
  • id: 4212936
    {'charpoly_factorization': [[[-72, 0, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 37}
  • id: 4212937
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 67553994444118397, 'p': 41}
  • id: 4212938
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 67553994444118397, 'p': 43}
  • id: 4212939
    {'charpoly_factorization': [[[4, 12, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 47}
  • id: 4212940
    {'charpoly_factorization': [[[-28, -4, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 53}
  • id: 4212941
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444118397, 'p': 59}
  • id: 4212942
    {'charpoly_factorization': [[[-28, -4, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 61}
  • id: 4212943
    {'charpoly_factorization': [[[-68, -4, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 67}
  • id: 4212944
    {'charpoly_factorization': [[[-112, -8, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 71}
  • id: 4212945
    {'charpoly_factorization': [[[-72, 0, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 73}
  • id: 4212946
    {'charpoly_factorization': [[[-36, -12, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 79}
  • id: 4212947
    {'charpoly_factorization': [[[92, -20, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 83}
  • id: 4212948
    {'charpoly_factorization': [[[-28, -4, 1], 1]], 'hecke_orbit_code': 67553994444118397, 'p': 89}
  • id: 4212949
    {'charpoly_factorization': [[[-56, -8, 1], 1]], 'hecke_orbit_code': 67553994444118397, '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': 16, 'label': '6525.2.a.p', 'level': 6525, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 60751237
    {'hecke_orbit_code': 67553994444118397, 'n': 1, 'trace_an': 2}
  • id: 60751238
    {'hecke_orbit_code': 67553994444118397, 'n': 2, 'trace_an': -2}
  • id: 60751239
    {'hecke_orbit_code': 67553994444118397, 'n': 3, 'trace_an': 0}
  • id: 60751240
    {'hecke_orbit_code': 67553994444118397, 'n': 4, 'trace_an': 2}
  • id: 60751241
    {'hecke_orbit_code': 67553994444118397, 'n': 5, 'trace_an': 0}
  • id: 60751242
    {'hecke_orbit_code': 67553994444118397, 'n': 6, 'trace_an': 0}
  • id: 60751243
    {'hecke_orbit_code': 67553994444118397, 'n': 7, 'trace_an': 4}
  • id: 60751244
    {'hecke_orbit_code': 67553994444118397, 'n': 8, 'trace_an': -6}
  • id: 60751245
    {'hecke_orbit_code': 67553994444118397, 'n': 9, 'trace_an': 0}
  • id: 60751246
    {'hecke_orbit_code': 67553994444118397, 'n': 10, 'trace_an': 0}
  • id: 60751247
    {'hecke_orbit_code': 67553994444118397, 'n': 11, 'trace_an': 4}
  • id: 60751248
    {'hecke_orbit_code': 67553994444118397, 'n': 12, 'trace_an': 0}
  • id: 60751249
    {'hecke_orbit_code': 67553994444118397, 'n': 13, 'trace_an': 4}
  • id: 60751250
    {'hecke_orbit_code': 67553994444118397, 'n': 14, 'trace_an': 4}
  • id: 60751251
    {'hecke_orbit_code': 67553994444118397, 'n': 15, 'trace_an': 0}
  • id: 60751252
    {'hecke_orbit_code': 67553994444118397, 'n': 16, 'trace_an': 6}
  • id: 60751253
    {'hecke_orbit_code': 67553994444118397, 'n': 17, 'trace_an': 0}
  • id: 60751254
    {'hecke_orbit_code': 67553994444118397, 'n': 18, 'trace_an': 0}
  • id: 60751255
    {'hecke_orbit_code': 67553994444118397, 'n': 19, 'trace_an': -4}
  • id: 60751256
    {'hecke_orbit_code': 67553994444118397, 'n': 20, 'trace_an': 0}
  • id: 60751257
    {'hecke_orbit_code': 67553994444118397, 'n': 21, 'trace_an': 0}
  • id: 60751258
    {'hecke_orbit_code': 67553994444118397, 'n': 22, 'trace_an': -12}
  • id: 60751259
    {'hecke_orbit_code': 67553994444118397, 'n': 23, 'trace_an': -12}
  • id: 60751260
    {'hecke_orbit_code': 67553994444118397, 'n': 24, 'trace_an': 0}
  • id: 60751261
    {'hecke_orbit_code': 67553994444118397, 'n': 25, 'trace_an': 0}
  • id: 60751262
    {'hecke_orbit_code': 67553994444118397, 'n': 26, 'trace_an': -4}
  • id: 60751263
    {'hecke_orbit_code': 67553994444118397, 'n': 27, 'trace_an': 0}
  • id: 60751264
    {'hecke_orbit_code': 67553994444118397, 'n': 28, 'trace_an': -12}
  • id: 60751265
    {'hecke_orbit_code': 67553994444118397, 'n': 29, 'trace_an': -2}
  • id: 60751266
    {'hecke_orbit_code': 67553994444118397, 'n': 30, 'trace_an': 0}
  • id: 60751267
    {'hecke_orbit_code': 67553994444118397, 'n': 31, 'trace_an': -4}
  • id: 60751268
    {'hecke_orbit_code': 67553994444118397, 'n': 32, 'trace_an': 6}
  • id: 60751269
    {'hecke_orbit_code': 67553994444118397, 'n': 33, 'trace_an': 0}
  • id: 60751270
    {'hecke_orbit_code': 67553994444118397, 'n': 34, 'trace_an': 8}
  • id: 60751271
    {'hecke_orbit_code': 67553994444118397, 'n': 35, 'trace_an': 0}
  • id: 60751272
    {'hecke_orbit_code': 67553994444118397, 'n': 36, 'trace_an': 0}
  • id: 60751273
    {'hecke_orbit_code': 67553994444118397, 'n': 37, 'trace_an': 0}
  • id: 60751274
    {'hecke_orbit_code': 67553994444118397, 'n': 38, 'trace_an': -4}
  • id: 60751275
    {'hecke_orbit_code': 67553994444118397, 'n': 39, 'trace_an': 0}
  • id: 60751276
    {'hecke_orbit_code': 67553994444118397, 'n': 40, 'trace_an': 0}
  • id: 60751277
    {'hecke_orbit_code': 67553994444118397, 'n': 41, 'trace_an': 12}
  • id: 60751278
    {'hecke_orbit_code': 67553994444118397, 'n': 42, 'trace_an': 0}
  • id: 60751279
    {'hecke_orbit_code': 67553994444118397, 'n': 43, 'trace_an': 12}
  • id: 60751280
    {'hecke_orbit_code': 67553994444118397, 'n': 44, 'trace_an': 20}
  • id: 60751281
    {'hecke_orbit_code': 67553994444118397, 'n': 45, 'trace_an': 0}
  • id: 60751282
    {'hecke_orbit_code': 67553994444118397, 'n': 46, 'trace_an': 20}
  • id: 60751283
    {'hecke_orbit_code': 67553994444118397, 'n': 47, 'trace_an': -12}
  • id: 60751284
    {'hecke_orbit_code': 67553994444118397, 'n': 48, 'trace_an': 0}
  • id: 60751285
    {'hecke_orbit_code': 67553994444118397, 'n': 49, 'trace_an': 10}
  • id: 60751286
    {'hecke_orbit_code': 67553994444118397, 'n': 50, 'trace_an': 0}
  • id: 60751287
    {'hecke_orbit_code': 67553994444118397, 'n': 51, 'trace_an': 0}
  • id: 60751288
    {'hecke_orbit_code': 67553994444118397, 'n': 52, 'trace_an': 4}
  • id: 60751289
    {'hecke_orbit_code': 67553994444118397, 'n': 53, 'trace_an': 4}
  • id: 60751290
    {'hecke_orbit_code': 67553994444118397, 'n': 54, 'trace_an': 0}
  • id: 60751291
    {'hecke_orbit_code': 67553994444118397, 'n': 55, 'trace_an': 0}
  • id: 60751292
    {'hecke_orbit_code': 67553994444118397, 'n': 56, 'trace_an': -4}
  • id: 60751293
    {'hecke_orbit_code': 67553994444118397, 'n': 57, 'trace_an': 0}
  • id: 60751294
    {'hecke_orbit_code': 67553994444118397, 'n': 58, 'trace_an': 2}
  • id: 60751295
    {'hecke_orbit_code': 67553994444118397, 'n': 59, 'trace_an': 0}
  • id: 60751296
    {'hecke_orbit_code': 67553994444118397, 'n': 60, 'trace_an': 0}
  • id: 60751297
    {'hecke_orbit_code': 67553994444118397, 'n': 61, 'trace_an': 4}
  • id: 60751298
    {'hecke_orbit_code': 67553994444118397, 'n': 62, 'trace_an': 28}
  • id: 60751299
    {'hecke_orbit_code': 67553994444118397, 'n': 63, 'trace_an': 0}
  • id: 60751300
    {'hecke_orbit_code': 67553994444118397, 'n': 64, 'trace_an': -14}
  • id: 60751301
    {'hecke_orbit_code': 67553994444118397, 'n': 65, 'trace_an': 0}
  • id: 60751302
    {'hecke_orbit_code': 67553994444118397, 'n': 66, 'trace_an': 0}
  • id: 60751303
    {'hecke_orbit_code': 67553994444118397, 'n': 67, 'trace_an': 4}
  • id: 60751304
    {'hecke_orbit_code': 67553994444118397, 'n': 68, 'trace_an': -16}
  • id: 60751305
    {'hecke_orbit_code': 67553994444118397, 'n': 69, 'trace_an': 0}
  • id: 60751306
    {'hecke_orbit_code': 67553994444118397, 'n': 70, 'trace_an': 0}
  • id: 60751307
    {'hecke_orbit_code': 67553994444118397, 'n': 71, 'trace_an': 8}
  • id: 60751308
    {'hecke_orbit_code': 67553994444118397, 'n': 72, 'trace_an': 0}
  • id: 60751309
    {'hecke_orbit_code': 67553994444118397, 'n': 73, 'trace_an': 0}
  • id: 60751310
    {'hecke_orbit_code': 67553994444118397, 'n': 74, 'trace_an': 24}
  • id: 60751311
    {'hecke_orbit_code': 67553994444118397, 'n': 75, 'trace_an': 0}
  • id: 60751312
    {'hecke_orbit_code': 67553994444118397, 'n': 76, 'trace_an': 12}
  • id: 60751313
    {'hecke_orbit_code': 67553994444118397, 'n': 77, 'trace_an': -8}
  • id: 60751314
    {'hecke_orbit_code': 67553994444118397, 'n': 78, 'trace_an': 0}
  • id: 60751315
    {'hecke_orbit_code': 67553994444118397, 'n': 79, 'trace_an': 12}
  • id: 60751316
    {'hecke_orbit_code': 67553994444118397, 'n': 80, 'trace_an': 0}
  • id: 60751317
    {'hecke_orbit_code': 67553994444118397, 'n': 81, 'trace_an': 0}
  • id: 60751318
    {'hecke_orbit_code': 67553994444118397, 'n': 82, 'trace_an': -12}
  • id: 60751319
    {'hecke_orbit_code': 67553994444118397, 'n': 83, 'trace_an': 20}
  • id: 60751320
    {'hecke_orbit_code': 67553994444118397, 'n': 84, 'trace_an': 0}
  • id: 60751321
    {'hecke_orbit_code': 67553994444118397, 'n': 85, 'trace_an': 0}
  • id: 60751322
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  • id: 60751327
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  • id: 60751400
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  • id: 60751419
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  • id: 60751420
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  • id: 60751421
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  • id: 60751422
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  • id: 60751423
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  • id: 60751426
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  • id: 60751427
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  • id: 60751428
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  • id: 60751432
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  • id: 60751471
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