Embedded newform data - 990.2.n.h.631.1

Formats: - HTML - YAML - JSON - 2025-01-30T03:12:46.643533

• 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': 3960, 'analytic_conductor': 7.905189800106758, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 11, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 14, 'char_orbit_label': 'n', 'char_order': 5, 'char_parity': 1, 'char_values': [990, 5, [551, 397, 541], [5, 5, 4]], 'cm_discs': [], 'conrey_index': 91, 'dim': 4, 'field_disc': 125, 'field_disc_factorization': [[5, 3]], 'field_poly': [1, -1, 1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 10, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [25, 0, 10, -5, 1]], [13, [81, -54, 36, -9, 1]], [17, [256, -128, 64, -12, 1]]], 'hecke_orbit': 8, 'hecke_orbit_code': 31526090778346462, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 11, 3, 1, 5, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '990.2.n.h', 'level': 990, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 11], 'level_radical': 330, 'minimal_twist': '330.2.m.a', 'nf_label': '4.0.125.1', 'prim_orbit_index': 3, 'qexp_display': 'q+(1-\\zeta_{10}+\\zeta_{10}^{2}-\\zeta_{10}^{3})q^{2}-\\zeta_{10}^{3}q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c5', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '990.2.n', 'trace_display': [1, 0, 1, 5], 'trace_hash': 268901345028297724, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.963', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '48.911', 'prec': 20}, {'__RealLiteral__': 0, 'data': '12.563', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1123.213', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.013', 'prec': 17}, 'traces': [4, 1, 0, -1, 1, 0, 5, 1, 0, 4, -9, 0, 9, -5, 0, -1, 12, 0, -6, 1, 0, -1, 30, 0, -1, 6, 0, 0, 0, 0, 10, -4, 0, 8, 0, 0, 14, -9, 0, -1, 17, 0, -4, 11, 0, 10, -28, 0, 12, 1, 0, -6, -20, 0, -1, 10, 0, 0, 16, 0, 12, 0, 0, -1, 6, 0, -36, 12, 0, 5, 22, 0, -2, -14, 0, -6, -30, 0, -2, 1, 0, 8, -12, 0, 8, 4, 0, 4, -6, 0, 15, -5, 0, -27, 6, 0, 2, -2, 0, 4, 24, 0, -6, -9, 0, -5, 16, 0, -24, -9, 0, 0, -18, 0, 10, 10, 0, -16, -20, 0, -1, -12, 0, 0, 1, 0, -23, 1, 0, 9, 0, 0, 0, -24, 0, 8, -36, 0, -19, -5, 0, -12, 6, 0, -10, 2, 0, -1, -8, 0, 26, -9, 0, 0, 20, 0, 13, -18, 0, -1, 30, 0, 20, -18, 0, -8, -41, 0, 22, 12, 0, 6, -11, 0, -10, 1, 0, -24, -7, 0, 0, 15, 0, 5, 1, 0, -52, 2, 0, -6, 30, 0, 10, -2, 0, 12, -54, 0, -8, 1, 0, 36, -10, 0, -17, 6, 0, -6, 36, 0, -20, 5, 0, 4, 4, 0, -10, 24, 0, -1, 72, 0, 41, -5, 0, -2, -6, 0, 6, 30, 0, 20, -6, 0, 28, -19, 0, -20, -24, 0, -18, -4, 0, 12, 13, 0, -36, -10, 0, -1, 6, 0, -65, -2, 0, -1, -34, 0, 15, 6, 0, 0, -6, 0, -30, 15, 0, -6, -52, 0, 28, -8, 0, -24, -4, 0, 38, 19, 0, 0, 38, 0, -48, 22, 0, 9, 70, 0, 33, 0, 0, -2, -29, 0, 19, 26, 0, 8, 75, 0, -20, -6, 0, -6, 18, 0, 0, 10, 0, 10, -46, 0, 16, 2, 0, 18, -29, 0, -50, -4, 0, -30, 12, 0, 9, 40, 0, 8, -60, 0, 54, -12, 0, -24, -24, 0, -40, -22, 0, 8, 0, 0, -25, -6, 0, 16, 12, 0, -30, 0, 0, 9, -4, 0, 28, -21, 0, -18, 32, 0, -17, 0, 0, 0, 2, 0, -52, -10, 0, 14, 0, 0, 98, -8, 0, -27, 30, 0, 28, -9, 0, -30, 42, 0, 5, -20, 0, 2, 6, 0, 100, 13, 0, -16, 32, 0, -58, 8, 0, -1, 17, 0, 30, -36, 0, -40, -79, 0, -35, 17, 0, 9, 35, 0, -8, -9, 0, 39, -34, 0, -18, 0, 0, 20, -8, 0, -30, -24, 0, -4, -54, 0, 38, 10, 0, 36, -45, 0, 108, 11, 0, 48, -6, 0, -24, 4, 0, 5, 45, 0, -32, 32, 0, 6, -15, 0, -68, 34, 0, 10, 36, 0, 50, 10, 0, -4, -4, 0, 0, -28, 0, -6, 14, 0, 9, 20, 0, -26, 0, 0, 39, 18, 0, -41, 8, 0, -20, 18, 0, 12, -36, 0, -80, -54, 0, -20, -50, 0, -45, 1, 0, 29, -76, 0, -24, -5, 0, -23, -46, 0, 0, 1, 0, 34, -9, 0, 108, -80, 0, -6, 27, 0, 60, 0, 0, 1, 80, 0, 138, -20, 0, 15, -3, 0, -16, 6, 0, 12, -62, 0, 32, -28, 0, -12, 24, 0, -6, -36, 0, -1, 60, 0, -70, 57, 0, 36, -20, 0, 6, 10, 0, 72, -12, 0, 18, -42, 0, 28, 23, 0, -18, 36, 0, -25, -5, 0, 26, 47, 0, 0, 20, 0, -5, -8, 0, 29, -32, 0, -60, 16, 0, -1, 24, 0, 0, -8, 0, 45, 14, 0, -22, 20, 0, -64, -19, 0, 40, 6, 0, 12, -78, 0, -58, 60, 0, -25, 96, 0, 6, 0, 0, -34, 60, 0, -1, 4, 0, -22, -48, 0, -6, 2, 0, 4, -22, 0, 72, -40, 0, -1, -80, 0, -40, 5, 0, -12, 8, 0, -1, 6, 0, -40, 84, 0, 0, 17, 0, 55, 66, 0, 20, 21, 0, -8, 15, 0, -10, 24, 0, -36, -72, 0, -18, 40, 0, -23, -38, 0, -10, 12, 0, 50, -20, 0, -24, -5, 0, -4, -45, 0, 4, 54, 0, -12, -36, 0, 36, -30, 0, 5, 84, 0, -6, 1, 0, -6, 120, 0, -18, 22, 0, 21, 90, 0, -6, -22, 0, -32, 18, 0, -15, -28, 0, 0, -20, 0, 78, 15, 0, -2, 8, 0, 54, 52, 0, -30, 66, 0, 0, -14, 0, -25, -14, 0, -12, 47, 0, 8, 80, 0, -52, -28, 0, 60, -26, 0, -93, -58, 0, -6, 58, 0, -120, -20, 0, 53, -9, 0, 166, -30, 0, 10, 29, 0, 10, -2, 0, -6, -3, 0, -122, 80, 0, -13, -13, 0, 2, 11, 0, -2, -100, 0, 72, -62, 0, 12, 15, 0, -4, 1, 0, 18, 22, 0, -5, -30, 0, -24, 43, 0, 69, -10, 0, 4, -40, 0, 6, -10, 0, 8, -78, 0, 3, 6, 0, -20, -16, 0, 2, -12, 0, -6, -4, 0, -34, 6, 0, 19, 94, 0, -51, -62, 0, 0, 23, 0, 100, 30, 0, 8, 85, 0, 30, -60, 0, 4, -52, 0, 26, 4, 0, -16, -81, 0, 11, -38, 0, 40, -18, 0, -126, -36, 0, -75, 0, 0, -22, 12, 0, 4, 42, 0, 28, 12, 0, -14, -19, 0, 45, -6, 0, -74, -78, 0, 7, 0, 0, -20, 20, 0, -160, -58, 0, -2, 0, 0, -108, 24, 0, 15, -88, 0, 52, -32, 0, -34, 0, 0, -28, -5, 0, 24, 132, 0, -26, -25, 0, 0, 0, 0, -3, 4, 0, -56, -48, 0, 48, 0, 0, -27, -80, 0, 110, -19, 0, 6, 72, 0, -12, 6, 0, 20, -86, 0, 20, -4, 0, -20, 60, 0, 51, 36, 0, 27, 20, 0, -138, -19, 0, 2, -43, 0, -55, -40, 0, -18, -10, 0, -9, -2, 0, 36, -33, 0, -16, -40, 0, -36, -20, 0, -48, -10, 0, -90, 8, 0, 22, 45, 0, 4], '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], [0.5720614028176843, 0.4156269377774534], [0.0, 0.0], [0.15450849718747373, 0.47552825814757677], [0.36180339887498947, -0.2628655560595668], [0.0, 0.0], [-0.1614100997848534, -0.4967692068416582], [-0.10925400611220527, 0.3362492559819787], [0.0, 0.0], [0.31622776601683794, 0.0], [-0.5098505596841576, -0.8602629869927866], [0.0, 0.0], [1.0891679754629144, 0.7913268543153068], [0.11413417610986713, -0.35126887484239916], [0.0, 0.0], [-0.20225424859373686, 0.14694631307311828], [1.2699330196556393, -0.9226603464980899], [0.0, 0.0], [-0.34412360080584264, 1.0591035409536107], [0.18090169943749473, 0.1314327780297834], [0.0, 0.0], [0.06588264456679643, -0.7040308779768719], [1.796984307488139, 0.0], [0.0, 0.0], [0.061803398874989486, -0.1902113032590307], [0.29417420270727607, 0.9053751007338393], [0.0, 0.0], [0.21128856368212914, -0.1535101271962358], [-0.41522739926869984, -1.2779385309133733], [0.0, 0.0], [1.0514277517438113, 0.7639069767669417], [-0.1767766952966369, 0.0], [0.0, 0.0], [1.109962159132388, 0.0], [-0.18898223650461363, -0.13730363185816896], [0.0, 0.0], [-0.15981816652505723, -0.49186974005570183], [-0.6370517913354701, 0.4628452189472161], [0.0, 0.0], [0.0488598768962137, 0.1503752387518864], [0.05261197922819485, -0.1619230223288217], [0.0, 0.0], [0.18849859940263208, 0.0], [0.33030311598651974, -0.3753662898684373], [0.0, 0.0], [1.0279853637830298, 0.7468750849554331], [-0.5318088856951803, 1.6367394524275722], [0.0, 0.0], [0.5882905698214136, -0.4274181177997641], [0.11441228056353686, -0.08312538755549069], [0.0, 0.0], [-0.20801257358446093, 0.6401968732463513], [-1.4546717157858842, -1.056880865804972], [0.0, 0.0], [-0.41059917384536665, -0.17722392174168358], [0.18467297622373127, 0.0], [0.0, 0.0], [0.29361010975735174, -0.9036390011484207], [0.37520001648839996, 1.1547469138942323], [0.0, 0.0], [0.3841106397986879, -0.2790727152730953], [0.2839809171235324, 0.8740033935030257], [0.0, 0.0], [-0.10112712429686843, -0.07347315653655914], [0.6020772490527345, 0.0], [0.0, 0.0], [-1.9190625462689765, 0.0], [0.6349665098278197, 0.46133017324904496], [0.0, 0.0], [-0.05104235526751908, -0.15709221650549407], [0.7854161351151882, -0.5706382243427889], [0.0, 0.0], [0.07233540704948814, 0.22262549143108043], [0.11300850930666886, -0.3478044286538512], [0.0, 0.0], [-0.5568036824348541, 0.0], [-0.3450571320096591, 0.3921331927137962], [0.0, 0.0], [0.3211115590236695, 0.2333012038647995], [-0.034549150281252626, 0.10633135104400498], [0.0, 0.0], [0.09739685256849438, -0.07076295548487933], [-0.574733126805979, 0.41756805887804166], [0.0, 0.0], [0.21693045781865616, -0.6676432987403689], [0.10783277320343841, 0.07834509564505489], [0.0, 0.0], [0.3449660054892033, -0.07744969371677955], [-1.2256019740659028, 0.0], [0.0, 0.0], [0.21730410216878357, -0.6687932578055145], [0.27764934481946557, 0.8545168176583643], [0.0, 0.0], [-0.9845003437337121, 0.7152813685584379], [0.15389675281277312, 0.4736455025566012], [0.0, 0.0], [0.1642864605533059, 0.11936110036745187], [0.5141848120881715, 0.0], [0.0, 0.0], [0.1, 0.0], [0.5970223141259935, 0.43376210138071], [0.0, 0.0], [-0.14779939172464399, -0.45487975471545317], [-0.385079030650525, 0.2797762924106863], [0.0, 0.0], [-0.39289338452157635, -1.2092015014071222], [-0.04564310554885148, 0.14047503453325266], [0.0, 0.0], [0.7103630395016672, 0.0], [-0.16122890349135566, -0.272039042563701], [0.0, 0.0], [0.10564428184106457, 0.0767550635981179], [0.10255456161697028, -0.3156304859507746], [0.0, 0.0], [0.6501550301742279, -0.4723652792181853], [0.5435397221728397, -0.3949047238187865], [0.0, 0.0], [-0.2653064759602521, 0.8165293733688499], [-0.6633292639368026, -0.48193692032057983], [0.0, 0.0], [-0.48010481357950247, 0.8772111307876749], [0.3357250095066314, 0.0], [0.0, 0.0], [-0.2008048322256247, 0.618013726326044], [-0.027639320225002102, -0.08506508083520399], [0.0, 0.0], [-0.7582536773306857, 0.5509035435971976], [-0.02731350152805132, -0.08406231399549467], [0.0, 0.0], [0.3444251556977196, 0.25023952332926125], [0.0, 0.0], [0.0, 0.0], [0.581675050747111, 0.0], [-1.0978216123135078, -0.7976140895091772], [0.0, 0.0], [0.17149858514250885, 0.5278183721419479], [-1.3420424318707374, 0.9750509011418279], [0.0, 0.0], [-0.5451353494375265, -1.6777540904961543], [0.03609239553739564, -0.11108097156266014], [0.0, 0.0], [0.6864788738119952, 0.0], [0.1254363015010636, -1.340429335474376], [0.0, 0.0], [-0.48615670689992774, -0.35321352283783475], [-0.05114885684458226, 0.1574199946559046], [0.0, 0.0], [0.20920469599114527, -0.15199610869599967], [-0.16384638410380808, 0.1190413661113181], [0.0, 0.0], [-0.2898963427014402, 0.8922092014195381], [-0.31852589566773504, -0.23142260947360804], [0.0, 0.0], [-0.3603749850782236, 0.0809092251797865], [0.5812149664780243, 0.0], [0.0, 0.0], [-0.05292265453163204, 0.16287918259561723], [0.08672926397393402, 0.2669252279239035], [0.0, 0.0], [-0.06395840920021159, 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0.2622651149251349, -0.49285648980477836, 0.06298512155112722, -0.16954857219348013, -0.4822520760213371, 0.02777744507813668, 0.30155061902080565, -0.19039736854242417, -0.26581957193332145, -0.3853760442870624, -0.36005631241682445, 0.13900716836995006, -0.011286895604586589, -0.005098981339327166, 0.10220542283476726, 0.1492974425174943, -0.004774161050812369, -0.23799337273819834, -0.0962392575928453, -0.3490984370550901, -0.37899038734682744, -0.21021079718188623, -0.44223644955157565, -0.18500531776716694, -0.2899184205891325, -0.039956754906413726, -0.1684084593950391, -0.349413633025755, -0.49087532367786885, -0.07118399360205113, -0.4024213078135418, -0.16975504776224162, -0.3603790092614018, -0.007568187942175467, 0.23627659578532734, -0.49462870590464514, -0.1947345867679604, -0.006850812630470124, -0.17143956313585593, -0.18421944515215047, -0.21552886997060053, -0.3819003825277521, -0.40383003504235354, -0.18417230021589046, -0.41955156749178424, -0.39617968927335273, -0.4464859506528072, -0.281751191335487, -0.08130949561318834, -0.1378519010418454, -0.38717436534081473, -0.4249717362186827, -0.4674506214927373, -0.037284020957821, -0.13791338605051587, -0.48143003531699363, -0.3678851199143641, -0.2865756006054788, -0.3024534210070534, -0.3413811956795885, -0.4062067905848597, -0.13012641420652854, -0.14073156084944752, -0.45970903401612667, -0.3148727688935061, -0.25973176743206333, -0.3609766555974803, -0.284220273462434, -0.4529007622094446, -0.4198697538592829, -0.2728851983584617, -0.4082373193212548, -0.00842907458529534, 0.35904085915378975, -0.2688828001060863, -0.3727907201202999, -0.3827026159403445, -0.11105179798098562, -0.44908998200415484, -0.17788144853440532, -0.44768567939393117, -0.44107198408312304, -0.46031021644340675, -0.14731208471571025, -0.4949198078885478, -0.2805210681562786, -0.49336704707198203], 'char_orbit_index': 14, 'conrey_index': 631, 'dual_conrey_index': 91, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 4, 'embedding_root_imag': -0.5877852522924731, 'embedding_root_real': 0.8090169943749475, 'hecke_orbit': 8, 'hecke_orbit_code': 31526090778346462, 'label': '990.2.n.h.631.1', 'level': 990, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 3960, 'analytic_conductor': 7.905189800106758, 'char_conductor': 11, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 14, 'char_orbit_label': 'n', 'char_order': 5, 'char_parity': 1, 'char_values': [990, 5, [551, 397, 541], [5, 5, 4]], 'conrey_index': 91, 'cusp_dim': 800, 'dim': 80, 'eis_dim': 128, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 13, 17], 'hecke_orbit_code': 893386752990, 'hecke_orbit_dims': [4, 4, 4, 4, 4, 4, 4, 4, 8, 8, 8, 12, 12], 'label': '990.2.n', 'level': 990, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 11], 'level_radical': 330, 'mf_dim': 928, 'mf_new_dim': 80, 'num_forms': 13, 'prim_orbit_index': 3, 'relative_dim': 20, 'sturm_bound': 432, 'trace_bound': 11, 'trace_display': [-2, 0, 0, 0], 'traces': [80, -2, 0, -20, 0, 0, 0, -2, 0, -8, -20, 0, -8, 2, 0, -20, -16, 0, -14, 0, 0, 10, -32, 0, -20, 32, 0, 0, 16, 0, 28, 8, 0, 36, 0, 0, 16, 8, 0, 2, 34, 0, -20, 10, 0, 16, -24, 0, -34, -2, 0, 12, 48, 0, 8, 12, 0, -20, -14, 0, 40, -28, 0, -20, 28, 0, -12, -16, 0, 0, 68, 0, -8, -36, 0, 16, -80, 0, -8, 0, 0, -66, 26, 0, 28, 2, 0, -10, -40, 0, -62, 48, 0, -18, 0, 0, -42, 40, 0, 80, 36, 0, 8, -18, 0, 2, 60, 0, -104, -14, 0, 0, 62, 0, 28, -4, 0, -18, 60, 0, 20, 24, 0, -12, 0, 0, -12, -2, 0, 16, -68, 0, 240, -76, 0, -34, -66, 0, -22, -10, 0, -56, -24, 0, 0, 0, 0, -24, -12, 0, -36, 8, 0, -28, -32, 0, -96, 0, 0, 2, -40, 0, 28, -56, 0, 68, -52, 0, 62, 16, 0, 40, -68, 0, 0, 20, 0, 10, 24, 0, -48, -116, 0, -14, 10, 0, -246, -64, 0, -4, 76, 0, 80, -44, 0, -34, -96, 0, 112, -2, 0, 68, -52, 0, 16, 12, 0, -8, 88, 0, -54, -32, 0, -14, 84, 0, 0, 108, 0, 28, 312, 0, -116, 2, 0, 116, -174, 0, 76, 96, 0, 0, 2, 0, 84, 46, 0, 4, -88, 0, 256, -58, 0, 40, 88, 0, -284, -8, 0, 2, -36, 0, 44, 20, 0, -20, 8, 0, 86, 8, 0, 144, -104, 0, 44, -74, 0, -2, -104, 0, 180, -6, 0, -132, -10, 0, -36, 84, 0, 0, -34, 0, -4, 68, 0, -30, 200, 0, -124, -16, 0, 22, 48, 0, -56, 4, 0, -64, 74, 0, 32, 84, 0, -14, -8, 0, -180, -40, 0, -36, -92, 0, -124, 36, 0, -48, -68, 0, -204, 0, 0, -8, -156, 0, -8, -78, 0, -66, 32, 0, 224, 26, 0, -72, -24, 0, 106, -78, 0, 8, 44, 0, -312, -28, 0, 16, 40, 0, 108, -8, 0, 10, -220, 0, -72, 70, 0, -36, 196, 0, 126, 232, 0, 168, -36, 0, -8, -32, 0, 4, 56, 0, -48, 62, 0, -18, -108, 0, -258, 0, 0, 8, 108, 0, -38, 200, 0, -52, -20, 0, 172, -10, 0, -12, 40, 0, 152, 4, 0, -20, -56, 0, -140, 16, 0, 56, -116, 0, 70, 18, 0, -52, 64, 0, -44, -18, 0, -122, -24, 0, 120, 76, 0, 12, -6, 0, 312, -100, 0, 40, -8, 0, 242, -104, 0, 36, 128, 0, 152, 6, 0, 4, 296, 0, -80, -52, 0, 0, -2, 0, -18, 52, 0, -42, -88, 0, -50, 44, 0, 28, 80, 0, 248, -4, 0, 36, 116, 0, 116, -56, 0, -28, 28, 0, 6, -60, 0, -36, -52, 0, -354, -108, 0, 60, -112, 0, -64, 4, 0, 8, -84, 0, 84, -276, 0, -32, -92, 0, 50, 0, 0, -12, -192, 0, -24, -2, 0, -12, -244, 0, -224, -2, 0, -136, 10, 0, 108, -168, 0, -4, 160, 0, -272, 42, 0, 38, -224, 0, 332, 36, 0, -120, -128, 0, 0, 94, 0, 168, -214, 0, 96, -152, 0, 16, 64, 0, -286, -66, 0, 10, 288, 0, -32, -2, 0, 28, -88, 0, 112, 20, 0, 212, 158, 0, 56, -68, 0, 64, -96, 0, -92, -124, 0, -234, 48, 0, -116, 164, 0, 20, -28, 0, -48, 60, 0, 230, 110, 0, 164, 68, 0, -24, 452, 0, 152, -12, 0, 176, 28, 0, -240, -32, 0, 224, 64, 0, -376, -2, 0, 56, -196, 0, -144, -14, 0, -18, 124, 0, -86, -32, 0, 344, 360, 0, -20, -100, 0, 144, -44, 0, -212, -40, 0, -44, -28, 0, 192, 56, 0, 2, -448, 0, 26, 170, 0, -64, 60, 0, -82, -28, 0, -102, -168, 0, -104, 34, 0, 280, 336, 0, -136, 234, 0, 28, -110, 0, 4, 68, 0, -64, 36, 0, 64, 82, 0, -188, 168, 0, -52, 16, 0, 16, -256, 0, 12, 54, 0, -30, 54, 0, 68, 192, 0, -252, -36, 0, -18, -160, 0, 0, 96, 0, 184, 0, 0, -24, 8, 0, -156, -48, 0, -60, 252, 0, 64, -56, 0, -68, 172, 0, -62, 182, 0, -48, -24, 0, 16, -116, 0, 32, 150, 0, 180, 208, 0, -4, 230, 0, -92, 0, 0, 8, 204, 0, -40, -38, 0, 124, 328, 0, 300, -24, 0, -196, 44, 0, -20, -156, 0, 36, 8, 0, 212, -24, 0, 6, 20, 0, -132, -64, 0, 80, 160, 0, 28, 46, 0, 148, -324, 0, -188, 40, 0, -4, -102, 0, 264, 104, 0, -52, -360, 0, 424, -88, 0, 32, -128, 0, -100, -2, 0, -116, -196, 0, 64, -184, 0, -92, -110, 0, 134, -52, 0, -324, -160, 0, 278, -244, 0, 16, -140, 0, 4, -68, 0, -144, -180, 0, 184, -40, 0, 12, -306, 0, -36, -62, 0, -94, -48, 0, -140, -256, 0, -4, 144, 0, -284, -32, 0, -34, 310, 0, 80, -124, 0, -14, -444, 0, -312, 84, 0, 156, -284, 0, -154, 66, 0, -280, 36, 0, 36, -112, 0, -18, 0, 0, -4, 96, 0, -12, 360, 0, -344, -68, 0, -266, 84, 0, 194, 156, 0, -16, -200, 0, -176, -8, 0, -274, 40, 0, -184, -108, 0, 116, 128, 0, 368, 216, 0, -90, -320, 0, -468, 76, 0, -164, 76, 0, 144, -4, 0, 180, 456, 0, 16, 90, 0, -20, 216, 0, -32, -28, 0, 120, 72, 0, 92, 272, 0, -66, -240, 0, 152, 46, 0, -90, 180, 0, 312, -2, 0, 104, -8, 0, -64, -168, 0, 312, 16, 0, -188, 176, 0, 176, -100, 0, 632, 62, 0, -4, -210, 0, 340, 300, 0, -60, 108, 0, 398, -32, 0, 456, -364, 0, -120, -72, 0, -284, 80, 0, -24, -8, 0, 236, -148, 0, 228, 48, 0, -8], '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: 46374325
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 631, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31526090778346462, 'source_is_minimal': False, 'source_label': '990.2.n.h.631.1', 'source_level': 990, 'target_conrey_index': 631, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31526090778346462, 'target_is_minimal': False, 'target_label': '990.2.n.h.631.1', 'target_level': 990, 'twist_class_label': '330.2.m.a.91.1', 'twist_class_level': 330, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46374326
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 631, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31526090778346462, 'source_is_minimal': False, 'source_label': '990.2.n.h.631.1', 'source_level': 990, 'target_conrey_index': 301, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 824667275594, 'target_is_minimal': True, 'target_label': '330.2.m.a.301.1', 'target_level': 330, 'twist_class_label': '330.2.m.a.91.1', 'twist_class_level': 330, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46374327
    {'conductor': 11, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 631, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31526090778346462, 'source_is_minimal': False, 'source_label': '990.2.n.h.631.1', 'source_level': 990, 'target_conrey_index': 91, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31526090778346462, 'target_is_minimal': False, 'target_label': '990.2.n.h.91.1', 'target_level': 990, 'twist_class_label': '330.2.m.a.91.1', 'twist_class_level': 330, 'twisting_char_label': '11.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46374328
    {'conductor': 33, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 631, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31526090778346462, 'source_is_minimal': False, 'source_label': '990.2.n.h.631.1', 'source_level': 990, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 166633186246266414, 'target_is_minimal': False, 'target_label': '3630.2.a.bl.1.2', 'target_level': 3630, 'twist_class_label': '330.2.m.a.91.1', 'twist_class_level': 330, 'twisting_char_label': '33.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46374329
    {'conductor': 33, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 631, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31526090778346462, 'source_is_minimal': False, 'source_label': '990.2.n.h.631.1', 'source_level': 990, 'target_conrey_index': 91, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 824667275594, 'target_is_minimal': True, 'target_label': '330.2.m.a.91.1', 'target_level': 330, 'twist_class_label': '330.2.m.a.91.1', 'twist_class_level': 330, 'twisting_char_label': '33.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 46374330
    {'conductor': 33, 'degree': 4, 'order': 10, 'parity': 1, 'source_conrey_index': 631, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 31526090778346462, 'source_is_minimal': False, 'source_label': '990.2.n.h.631.1', 'source_level': 990, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 139611588482043438, 'target_is_minimal': False, 'target_label': '3630.2.a.bf.1.1', 'target_level': 3630, 'twist_class_label': '330.2.m.a.91.1', 'twist_class_level': 330, 'twisting_char_label': '33.17', 'twisting_conrey_index': 17, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1576625
    {'charpoly_factorization': [[[1, -1, 1, -1, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 2}
  • id: 1576626
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 31526090778346462, 'p': 3}
  • id: 1576627
    {'charpoly_factorization': [[[1, -1, 1, -1, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 5}
  • id: 1576628
    {'charpoly_factorization': [[[25, 0, 10, -5, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 7}
  • id: 1576629
    {'charpoly_factorization': [[[121, 99, 41, 9, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 11}
  • id: 1576630
    {'charpoly_factorization': [[[81, -54, 36, -9, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 13}
  • id: 1576631
    {'charpoly_factorization': [[[256, -128, 64, -12, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 17}
  • id: 1576632
    {'charpoly_factorization': [[[81, 81, 36, 6, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 19}
  • id: 1576633
    {'charpoly_factorization': [[[55, -15, 1], 2]], 'hecke_orbit_code': 31526090778346462, 'p': 23}
  • id: 1576634
    {'charpoly_factorization': [[[400, -200, 40, 0, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 29}
  • id: 1576635
    {'charpoly_factorization': [[[400, 0, 40, -10, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 31}
  • id: 1576636
    {'charpoly_factorization': [[[961, 31, 76, -14, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 37}
  • id: 1576637
    {'charpoly_factorization': [[[121, -88, 114, -17, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 41}
  • id: 1576638
    {'charpoly_factorization': [[[-4, 2, 1], 2]], 'hecke_orbit_code': 31526090778346462, 'p': 43}
  • id: 1576639
    {'charpoly_factorization': [[[22801, 4077, 454, 28, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 47}
  • id: 1576640
    {'charpoly_factorization': [[[625, -125, 150, 20, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 53}
  • id: 1576641
    {'charpoly_factorization': [[[3481, -1121, 186, -16, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 59}
  • id: 1576642
    {'charpoly_factorization': [[[1296, -648, 144, -12, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 61}
  • id: 1576643
    {'charpoly_factorization': [[[36, 18, 1], 2]], 'hecke_orbit_code': 31526090778346462, 'p': 67}
  • id: 1576644
    {'charpoly_factorization': [[[13456, -3248, 384, -22, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 71}
  • id: 1576645
    {'charpoly_factorization': [[[16, 8, 4, 2, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 73}
  • id: 1576646
    {'charpoly_factorization': [[[1936, -792, 124, 2, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 79}
  • id: 1576647
    {'charpoly_factorization': [[[256, 128, 64, 12, 1], 1]], 'hecke_orbit_code': 31526090778346462, 'p': 83}
  • id: 1576648
    {'charpoly_factorization': [[[-99, 3, 1], 2]], 'hecke_orbit_code': 31526090778346462, 'p': 89}
  • id: 1576649
    {'charpoly_factorization': [[[16, -8, 4, -2, 1], 1]], 'hecke_orbit_code': 31526090778346462, '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': 14, 'hecke_orbit': 8, 'label': '990.2.n.h', 'level': 990, '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: 50162659
    {'hecke_orbit_code': 31526090778346462, 'n': 1, 'trace_an': 4}
  • id: 50162660
    {'hecke_orbit_code': 31526090778346462, 'n': 2, 'trace_an': 1}
  • id: 50162661
    {'hecke_orbit_code': 31526090778346462, 'n': 3, 'trace_an': 0}
  • id: 50162662
    {'hecke_orbit_code': 31526090778346462, 'n': 4, 'trace_an': -1}
  • id: 50162663
    {'hecke_orbit_code': 31526090778346462, 'n': 5, 'trace_an': 1}
  • id: 50162664
    {'hecke_orbit_code': 31526090778346462, 'n': 6, 'trace_an': 0}
  • id: 50162665
    {'hecke_orbit_code': 31526090778346462, 'n': 7, 'trace_an': 5}
  • id: 50162666
    {'hecke_orbit_code': 31526090778346462, 'n': 8, 'trace_an': 1}
  • id: 50162667
    {'hecke_orbit_code': 31526090778346462, 'n': 9, 'trace_an': 0}
  • id: 50162668
    {'hecke_orbit_code': 31526090778346462, 'n': 10, 'trace_an': 4}
  • id: 50162669
    {'hecke_orbit_code': 31526090778346462, 'n': 11, 'trace_an': -9}
  • id: 50162670
    {'hecke_orbit_code': 31526090778346462, 'n': 12, 'trace_an': 0}
  • id: 50162671
    {'hecke_orbit_code': 31526090778346462, 'n': 13, 'trace_an': 9}
  • id: 50162672
    {'hecke_orbit_code': 31526090778346462, 'n': 14, 'trace_an': -5}
  • id: 50162673
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  • id: 50162674
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  • id: 50162675
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  • id: 50162676
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  • id: 50162677
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  • id: 50162678
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  • id: 50162679
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  • id: 50162680
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  • id: 50162681
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  • id: 50162682
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  • id: 50162683
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  • id: 50162684
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  • id: 50162685
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  • id: 50162686
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  • id: 50162687
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  • id: 50162688
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  • id: 50162689
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  • id: 50162690
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  • id: 50162691
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  • id: 50162692
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  • id: 50162693
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  • id: 50162694
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  • id: 50162695
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  • id: 50162696
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  • id: 50162697
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  • id: 50162698
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  • id: 50162699
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  • id: 50162700
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  • id: 50162701
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  • id: 50162702
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  • id: 50162703
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  • id: 50162704
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  • id: 50162705
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  • id: 50162706
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  • id: 50162707
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  • id: 50162708
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  • id: 50162709
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  • id: 50162710
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  • id: 50162711
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  • id: 50162712
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  • id: 50162713
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  • id: 50162714
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  • id: 50162715
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  • id: 50162716
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  • id: 50162717
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  • id: 50162718
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  • id: 50162719
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  • id: 50162720
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  • id: 50162721
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  • id: 50162722
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  • id: 50162723
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  • id: 50162724
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  • id: 50162725
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  • id: 50162726
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  • id: 50162727
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  • id: 50162728
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  • id: 50162729
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  • id: 50162730
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  • id: 50162731
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  • id: 50162732
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  • id: 50162733
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  • id: 50162734
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  • id: 50162735
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  • id: 50162736
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  • id: 50162737
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  • id: 50162738
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  • id: 50162739
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  • id: 50162740
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  • id: 50162741
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  • id: 50162742
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  • id: 50162743
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  • id: 50162744
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  • id: 50162745
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  • id: 50162746
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  • id: 50162747
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  • id: 50162748
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  • id: 50162749
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  • id: 50162750
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  • id: 50162751
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  • id: 50162752
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  • id: 50162753
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  • id: 50162754
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  • id: 50162755
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  • id: 50162756
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  • id: 50162757
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  • id: 50162758
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  • id: 50162759
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  • id: 50162760
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  • id: 50162761
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  • id: 50162762
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  • id: 50162763
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  • id: 50162764
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  • id: 50162765
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  • id: 50162766
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  • id: 50162767
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  • id: 50162768
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  • id: 50162769
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  • id: 50162770
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  • id: 50162771
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  • id: 50162772
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  • id: 50162773
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  • id: 50162774
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  • id: 50162775
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  • id: 50162776
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  • id: 50162777
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  • id: 50162778
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  • id: 50162779
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  • id: 50162780
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  • id: 50162781
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  • id: 50162782
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  • id: 50162783
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  • id: 50162784
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  • id: 50162785
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  • id: 50162786
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  • id: 50162787
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  • id: 50162788
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  • id: 50162789
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  • id: 50162790
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  • id: 50162791
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  • id: 50162792
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  • id: 50162793
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  • id: 50162794
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  • id: 50162795
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  • id: 50162796
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  • id: 50162797
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  • id: 50162798
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  • id: 50162799
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  • id: 50162800
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  • id: 50162801
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  • id: 50162802
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  • id: 50162803
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  • id: 50162804
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  • id: 50162805
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  • id: 50162806
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  • id: 50162807
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  • id: 50162808
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  • id: 50162809
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  • id: 50162810
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  • id: 50162811
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  • id: 50162812
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  • id: 50162813
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  • id: 50162814
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  • id: 50162815
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  • id: 50162816
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  • id: 50162817
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  • id: 50162818
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  • id: 50162819
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  • id: 50162820
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  • id: 50162821
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  • id: 50162822
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  • id: 50162823
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  • id: 50162824
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  • id: 50162825
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  • id: 50162826
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  • id: 50162827
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  • id: 50162828
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  • id: 50162829
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  • id: 50162830
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  • id: 50162831
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  • id: 50162832
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  • id: 50162833
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  • id: 50162834
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  • id: 50162835
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  • id: 50162836
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  • id: 50162837
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  • id: 50162838
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  • id: 50162839
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  • id: 50162840
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  • id: 50162841
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  • id: 50162842
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  • id: 50162843
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  • id: 50162844
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  • id: 50162845
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  • id: 50162846
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  • id: 50162847
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  • id: 50162848
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  • id: 50162849
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  • id: 50162850
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  • id: 50162851
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  • id: 50162852
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  • id: 50162853
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  • id: 50162854
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  • id: 50162855
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  • id: 50162856
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  • id: 50162857
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  • id: 50162858
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  • id: 50162859
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  • id: 50162860
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  • id: 50162861
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  • id: 50162862
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  • id: 50162863
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  • id: 50162864
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  • id: 50162865
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  • id: 50162866
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  • id: 50162867
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  • id: 50162868
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  • id: 50162869
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  • id: 50162870
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  • id: 50162871
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  • id: 50162872
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  • id: 50162873
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  • id: 50162874
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  • id: 50162875
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  • id: 50162876
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  • id: 50162877
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  • id: 50162878
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  • id: 50162879
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  • id: 50162880
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  • id: 50162881
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  • id: 50162882
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  • id: 50162883
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  • id: 50162884
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  • id: 50162885
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  • id: 50162886
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  • id: 50162887
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  • id: 50162888
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  • id: 50162889
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  • id: 50162890
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  • id: 50162891
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  • id: 50162892
    {'hecke_orbit_code': 31526090778346462, 'n': 839, 'trace_an': 94}
  • id: 50162893
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  • id: 50162894
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  • id: 50162895
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  • id: 50162896
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  • id: 50162897
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  • id: 50162898
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  • id: 50162899
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  • id: 50162900
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  • id: 50162901
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  • id: 50162902
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  • id: 50162903
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  • id: 50162904
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  • id: 50162905
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  • id: 50162906
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  • id: 50162907
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  • id: 50162908
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  • id: 50162909
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  • id: 50162910
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  • id: 50162911
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  • id: 50162912
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  • id: 50162913
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  • id: 50162914
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  • id: 50162915
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  • id: 50162916
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