Embedded newform data - 820.2.y.a.413.18

Formats: - HTML - YAML - JSON - 2025-09-27T02:13:08.222828

• 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': 3280, 'analytic_conductor': 6.547732965744991, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 205, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 25, 'char_orbit_label': 'y', 'char_order': 8, 'char_parity': 1, 'char_values': [820, 8, [411, 657, 621], [8, 2, 5]], 'cm_discs': [], 'conrey_index': 137, 'dim': 84, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 1649300996916, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 205, 12, 1, 8, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '820.2.y.a', 'level': 820, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 41], 'level_radical': 410, 'minimal_twist': '820.2.x.a', 'prim_orbit_index': 12, 'related_objects': [], 'relative_dim': 21, 'rm_discs': [], 'sato_tate_group': '1.2.3.c8', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '820.2.y', 'trace_display': [0, 0, 0, 0], 'traces': [84, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 4, 0, 4, 0, -16, 0, 0, 0, -8, 0, 0, 0, 0, 0, -12, 0, 28, 0, 0, 0, 40, 0, -20, 0, 24, 0, -16, 0, 0, 0, 0, 0, -20, 0, 28, 0, -24, 0, 0, 0, -32, 0, 16, 0, -8, 0, 0, 0, 4, 0, 72, 0, 12, 0, -48, 0, 16, 0, 8, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, -80, 0, -40, 0, -24, 0, 16, 0, -40, 0, -28, 0, 12, 0, 20, 0, 48, 0, 0, 0, 0, 0, -64, 0, 0, 0, -12, 0, -16, 0, -24, 0, -40, 0, -28, 0, 0, 0, -24, 0, 28, 0, 12, 0, 32, 0, -104, 0, 40, 0, 104, 0, 68, 0, 12, 0, 0, 0, 48, 0, 112, 0, -68, 0, 136, 0, 56, 0, -32, 0, -80, 0, 64, 0, 68, 0, 72, 0, 24, 0, 32, 0, 0, 0, 4, 0, -20, 0, -64, 0, 0, 0, 136, 0, -108, 0, 24, 0, 20, 0, 56, 0, -80, 0, 80, 0, -128, 0, -16, 0, -120, 0, -24, 0, 0, 0, 16, 0, -32, 0, 0, 0, -40, 0, 0, 0, -16, 0, -24, 0, 0, 0, -160, 0, -192, 0, -64, 0, -72, 0, -80, 0, -108, 0, -136, 0, -8, 0, -8, 0, -48, 0, 124, 0, 0, 0, -8, 0, -140, 0, 96, 0, 36, 0, -112, 0, -40, 0, 16, 0, -32, 0, -212, 0, -152, 0, 16, 0, 156, 0, 88, 0, 4, 0, -16, 0, -72, 0, 0, 0, -12, 0, -48, 0, 32, 0, -40, 0, -16, 0, -64, 0, -40, 0, 160, 0, 108, 0, 0, 0, 132, 0, 56, 0, -96, 0, 24, 0, 96, 0, 0, 0, 72, 0, 0, 0, 0, 0, -32, 0, -152, 0, 44, 0, -120, 0, 16, 0, -96, 0, -136, 0, -68, 0, 40, 0, 0, 0, -32, 0, 0, 0, 36, 0, -8, 0, -16, 0, 88, 0, -60, 0, 80, 0, 76, 0, 128, 0, 0, 0, 176, 0, 120, 0, 164, 0, 16, 0, 120, 0, -36, 0, 68, 0, 320, 0, 16, 0, 160, 0, 92, 0, -224, 0, -64, 0, 0, 0, 272, 0, 132, 0, 96, 0, 160, 0, -140, 0, 152, 0, 44, 0, 88, 0, 88, 0, 24, 0, -152, 0, -24, 0, 476, 0, -72, 0, -160, 0, 192, 0, 116, 0, 56, 0, 216, 0, 104, 0, 16, 0, 148, 0, -180, 0, -220, 0, -112, 0, -8, 0, 180, 0, 0, 0, -28, 0, -32, 0, 0, 0, 72, 0, -116, 0, 160, 0, -68, 0, -136, 0, -64, 0, -32, 0, -16, 0, -40, 0, 112, 0, -72, 0, 36, 0, 72, 0, 0, 0, -8, 0, 68, 0, -316, 0, -156, 0, -40, 0, 96, 0, -136, 0, 36, 0, 0, 0, -112, 0, 0, 0, 4, 0, 308, 0, -88, 0, 272, 0, 16, 0, -240, 0, 12, 0, 60, 0, -32, 0, 64, 0, 0, 0, -56, 0, 0, 0, 176, 0, -40, 0, 0, 0, -220, 0, 52, 0, 0, 0, -336, 0, -128, 0, -264, 0, 72, 0, -64, 0, -64, 0, 416, 0, 132, 0, -56, 0, 0, 0, 0, 0, 80, 0, -144, 0, 244, 0, 80, 0, -384, 0, -204, 0, 48, 0, -44, 0, 136, 0, 128, 0, 168, 0, 104, 0, -8, 0, -80, 0, -80, 0, 0, 0, 520, 0, -156, 0, 0, 0, 288, 0, 128, 0, -92, 0, 184, 0, -336, 0, -128, 0, -184, 0, 160, 0, 0, 0, 160, 0, -352, 0, 0, 0, -168, 0, 0, 0, 64, 0, -72, 0, 0, 0, -180, 0, -632, 0, -144, 0, -240, 0, -16, 0, -72, 0, -232, 0, -32, 0, 156, 0, 52, 0, 108, 0, 0, 0, 40, 0, -264, 0, 176, 0, -80, 0, -236, 0, 32, 0, 32, 0, -636, 0, 44, 0, -268, 0, 360, 0, 128, 0, 172, 0, -160, 0, 168, 0, -256, 0, 0, 0, -232, 0, 44, 0, -200, 0, 68, 0, 0, 0, -304, 0, -304, 0, 456, 0, -112, 0, 0, 0, 96, 0, 144, 0, -200, 0, 160, 0, 152, 0, -232, 0, 48, 0, 0, 0, 136, 0, -48, 0, -276, 0, 96, 0, -304, 0, 152, 0, -176, 0, -512, 0, 56, 0, -64, 0, 0, 0, -152, 0, 0, 0, -84, 0, 48, 0, 176, 0, 176, 0, -104, 0, -40, 0, 96, 0, 96, 0, 0, 0, 296, 0, 328, 0, 388, 0, 24, 0, 56, 0, 72, 0, 160, 0, 592, 0, -96, 0, 64, 0, -96, 0, -124, 0, 80, 0, 0, 0, 152, 0, 48, 0, 152, 0, -292, 0, -32, 0, 432, 0, 208, 0, 312, 0, 164, 0, 220, 0, -184, 0, -216, 0, 448, 0, 76, 0, -112, 0, 112, 0, -112, 0, 44, 0, 100, 0, 168, 0, -104, 0, -44, 0, -212, 0, -508, 0, -176, 0, -220, 0, 400, 0, -108, 0, 16, 0, -48, 0, 0, 0, 72, 0, -64, 0, 224, 0, -200, 0, -256, 0, 168, 0, -200, 0, 304, 0, -192, 0, 128, 0, -116, 0, -396, 0, 404, 0, 0, 0, 52, 0, 64, 0, -492, 0, -188, 0, 344, 0, 160, 0, 48, 0, 260, 0, 0, 0, -24, 0, 0, 0, 96, 0, 116, 0, -136, 0, 156, 0, 80, 0, -68, 0, -4, 0, -72, 0, 104, 0, 96, 0, 0, 0, -280, 0, 216, 0, 164, 0, -160, 0, -16, 0, -196, 0, -108, 0, 0, 0, -324, 0, 108, 0, -236, 0, -96, 0, -292, 0, 160, 0, 280, 0, 372, 0, -76, 0, 0, 0, 124, 0, 224, 0, -220, 0, 564, 0, 352, 0, -96, 0, -200, 0, 712, 0, 360, 0, 304, 0, -288, 0, 16, 0, -80, 0, -92, 0, 32, 0, -72, 0, 0, 0, 360, 0, -368, 0, 120, 0], '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], [0.0, 0.0], [1.3291885090963917, -0.5505679074181995], [0.0, 0.0], [0.42037311891579465, -0.9073513326672349], [0.0, 0.0], [0.6878682546614453, 1.6606608695295713], [0.0, 0.0], [0.756510290848486, -0.756510290848486], [0.0, 0.0], [0.9309307030483032, 0.3856041228321275], [0.0, 0.0], [0.4763029751075463, -0.19729115208820036], [0.0, 0.0], [0.059196594676171214, -1.4374849135109171], [0.0, 0.0], [-0.9974076044985314, -0.4131397569973518], [0.0, 0.0], [-0.05174631043911117, 0.021434023586648313], [0.0, 0.0], [1.8286131597363673, 1.8286131597363673], [0.0, 0.0], [-0.7046921013654338, 0.7046921013654338], [0.0, 0.0], [-0.6465728817860144, -0.7628522193314566], [0.0, 0.0], [0.03846659041799292, -0.09286656428536946], [0.0, 0.0], [-0.7533913246981156, -0.3120649044641916], [0.0, 0.0], [0.0, 1.7254762460328745], [0.0, 0.0], [1.4496836482563447, 0.0], [0.0, 0.0], [1.7959641766911816, 0.07395901161901411], [0.0, 0.0], [1.3353695611376137, -1.3353695611376137], [0.0, 0.0], [0.524474264604049, -0.524474264604049], [0.0, 0.0], [-0.6411756735373738, -0.767394133196166], [0.0, 0.0], [-0.1931132406779496, 0.0], [0.0, 0.0], [-0.36840403012197825, -1.0044372110337243], [0.0, 0.0], [-1.1030665327232634, -0.45690511805384115], [0.0, 0.0], [-1.5775250066291813, 1.5775250066291813], [0.0, 0.0], [-1.5532042182661019, 0.0], [0.0, 0.0], [-0.321414305586158, -0.7759627756868331], [0.0, 0.0], [0.7412166578685997, -0.6825836062499931], [0.0, 0.0], [-0.056979715710147934, 0.056979715710147934], [0.0, 0.0], [0.0, -1.441710823119164], [0.0, 0.0], [1.0946881015333632, -1.0946881015333632], [0.0, 0.0], [1.7766864508078861, 0.7359276240091452], [0.0, 0.0], [0.021212577424148626, -0.5151100361550082], [0.0, 0.0], [0.08295573949469268, 0.034361392375391105], [0.0, 0.0], [-0.5486877879630238, 1.324649499208825], [0.0, 0.0], [-0.05203164990657074, 0.12561551487709186], [0.0, 0.0], [0.332486597924097, 0.0], [0.0, 0.0], [-1.2794191948299594, -0.6579921255557717], [0.0, 0.0], [0.0, 1.8112050257587633], [0.0, 0.0], [0.25625761353237075, -0.6186606060512126], [0.0, 0.0], [0.0, 0.9252514730734218], [0.0, 0.0], [-0.8930339032797918, -0.8930339032797918], [0.0, 0.0], [-0.7941462546227438, 0.7313262709570866], [0.0, 0.0], [-1.173212013071154, 0.0], [0.0, 0.0], [-1.5254661395908946, -0.6318687639594776], [0.0, 0.0], [0.6552673923545634, 0.6552673923545634], [0.0, 0.0], [0.94999184607813, 2.293483198945675], [0.0, 0.0], [-0.0023045680459078135, 0.055962371083574027], [0.0, 0.0], [-0.20582620626604528, 0.49690841865928864], [0.0, 0.0], [0.9959721440389655, -0.4125451698067492], [0.0, 0.0], [0.3847089701413741, 0.9287696132818914], [0.0, 0.0], [0.0, 0.7836915206497209], [0.0, 0.0], [2.427894404668479, -0.8904947701707931], [0.0, 0.0], [0.27338883422789784, 0.27338883422789784], [0.0, 0.0], [0.04700144994735029, 0.11347153791409326], [0.0, 0.0], [1.0397462511557123, -2.510169500966703], [0.0, 0.0], [-0.48421966509762177, 0.48421966509762177], [0.0, 0.0], [0.3431697007676878, 0.9356369338203133], [0.0, 0.0], [0.2110753153825317, -0.5095808890786864], [0.0, 0.0], [0.0, -1.94054150333896], [0.0, 0.0], [0.010834653146325928, 0.010834653146325928], [0.0, 0.0], [-1.274745919656833, -0.6670007149254032], [0.0, 0.0], [-0.9639768367613152, 0.26598619924283434], [0.0, 0.0], [-0.6806682439248468, -0.6806682439248468], [0.0, 0.0], [-0.2566839004634965, 0.10632195281480583], [0.0, 0.0], [1.0717952148959469, 1.0717952148959469], [0.0, 0.0], [-0.07118928849384146, -0.07118928849384146], [0.0, 0.0], [-0.06809228027648931, -0.07394131935056547], [0.0, 0.0], [1.085853081161503, 0.4497750729617077], [0.0, 0.0], [0.0, 0.4135343485443527], [0.0, 0.0], [-1.7177406548001295, 0.0], [0.0, 0.0], [0.5194813451243768, 0.0], [0.0, 0.0], [-0.5998579678717066, 0.552406925290997], [0.0, 0.0], [-1.2282934698240073, 2.9653627534234266], [0.0, 0.0], [1.417596993367519, -0.5871879006321489], [0.0, 0.0], [0.39045595795588284, 0.16173215329470567], [0.0, 0.0], [-1.067093594700815, 0.44200463924653627], [0.0, 0.0], [1.5656131713235864, 0.7253438311599565], [0.0, 0.0], [-0.08601996246677886, 0.0356306350885644], [0.0, 0.0], [-0.8544404032886348, -0.8544404032886348], [0.0, 0.0], [-1.6549899236440895, -0.6855192719641948], [0.0, 0.0], [-0.9007931792902714, 0.9007931792902714], [0.0, 0.0], [0.6094080366587474, -1.3153723901912933], [0.0, 0.0], [0.4493454388839404, 1.0848158527440996], [0.0, 0.0], [-0.519166055782537, 0.519166055782537], [0.0, 0.0], [-0.022931556943039413, 0.055361675778216664], [0.0, 0.0], [0.0, 0.4106624582930279], [0.0, 0.0], [0.8220818701719733, -1.5984801087571423], [0.0, 0.0], [-0.793759710986888, -1.9163054595298934], [0.0, 0.0], [0.281072653159968, 0.6785694112709837], [0.0, 0.0], [0.359710507653351, 0.868417986104831], [0.0, 0.0], [0.8523467082658652, -2.057746982939516], [0.0, 0.0], [-0.6502958835808398, -1.7730028182221091], [0.0, 0.0], [-0.7692089688774996, -0.7692089688774996], [0.0, 0.0], [0.18067981580996695, 0.0], 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[0.15836435577463392, -0.06559666395833134], [0.0, 0.0], [0.8323257063849036, 0.8323257063849036], [0.0, 0.0], [1.243070346581036, 1.243070346581036], [0.0, 0.0], [0.0056173142331192825, -0.13640657049162183], [0.0, 0.0], [-1.0921790841530445, -0.4523953891964169], [0.0, 0.0], [0.0, 2.11261971637142], [0.0, 0.0], [-1.9772682756237008, 0.0], [0.0, 0.0], [0.413642932992951, 0.0], [0.0, 0.0], [-0.04073042004940854, 0.9890664262408259], [0.0, 0.0], [-0.42362844146824896, 1.0227295287996236], [0.0, 0.0], [0.08037258765373469, -0.03329141584919729], [0.0, 0.0], [-0.23826802785262124, -0.09869384861644608], [0.0, 0.0], [-0.6867403108340095, 0.2844571505757617], [0.0, 0.0], [-0.739207193423073, -0.060985520047791834], [0.0, 0.0], [0.6285195922307033, -0.2603413393191647], [0.0, 0.0], [-1.1764520653341175, -1.1764520653341175], [0.0, 0.0], [0.12139946672038622, 0.05028530558044517], [0.0, 0.0], [0.7406005844864498, -0.7406005844864498], [0.0, 0.0], [-0.3781385315553092, -0.1751904341451397], [0.0, 0.0], [-1.1815792661783733, -2.852584689426678], [0.0, 0.0], [0.1360853753748331, -0.1360853753748331], [0.0, 0.0], [0.5364794889274132, -1.2951760581035474], [0.0, 0.0], [0.0, -1.6466239538496312], [0.0, 0.0], [1.002376912599397, 0.04127855482181919], [0.0, 0.0], [-0.7229722805394114, -1.745409484898053], [0.0, 0.0], [-0.07264406922917625, -0.17537829715904735], [0.0, 0.0]], 'angles': [None, -0.1847195101603009, None, 0.11525931473565064, -0.10346446755172284, -0.2710056130148094, -0.2782487660385522, -0.31695770129610257, -0.45801972516223494, -0.2543401945342279, 0.16562617623504397, -0.1783950017370043, None, -0.2653914430974799, -0.28931548787277117, -0.4935241490889001, -0.37187458325051376, -0.2341110795198347, -0.18035228495419975, -0.44832812265215466, -0.2234181448738027, -0.38316279889040966, -0.23377412285858487, -0.34207490408205765, -0.4808341723822706, 0.021320126525470242, 0.0640816579150601, -0.09403801910227666, -0.052720085001242076, -0.43061905081068547, 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'char_orbit_index': 25, 'conrey_index': 413, 'dual_conrey_index': 137, 'dual_embedding_index': 18, 'dual_embedding_m': 18, 'embedding_index': 18, 'embedding_m': 39, 'hecke_orbit': 1, 'hecke_orbit_code': 1649300996916, 'label': '820.2.y.a.413.18', 'level': 820, '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

  
  {'Nk2': 3280, 'analytic_conductor': 6.547732965744991, 'char_conductor': 205, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 25, 'char_orbit_label': 'y', 'char_order': 8, 'char_parity': 1, 'char_values': [820, 8, [411, 657, 621], [8, 2, 5]], 'conrey_index': 137, 'cusp_dim': 480, 'dim': 84, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 1649300996916, 'hecke_orbit_dims': [84], 'label': '820.2.y', 'level': 820, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 41], 'level_radical': 410, 'mf_dim': 528, 'mf_new_dim': 84, 'num_forms': 1, 'prim_orbit_index': 12, 'relative_dim': 21, 'sturm_bound': 252, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [84, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 4, 0, 4, 0, -16, 0, 0, 0, -8, 0, 0, 0, 0, 0, -12, 0, 28, 0, 0, 0, 40, 0, -20, 0, 24, 0, -16, 0, 0, 0, 0, 0, -20, 0, 28, 0, -24, 0, 0, 0, -32, 0, 16, 0, -8, 0, 0, 0, 4, 0, 72, 0, 12, 0, -48, 0, 16, 0, 8, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, -80, 0, -40, 0, -24, 0, 16, 0, -40, 0, -28, 0, 12, 0, 20, 0, 48, 0, 0, 0, 0, 0, -64, 0, 0, 0, -12, 0, -16, 0, -24, 0, -40, 0, -28, 0, 0, 0, -24, 0, 28, 0, 12, 0, 32, 0, -104, 0, 40, 0, 104, 0, 68, 0, 12, 0, 0, 0, 48, 0, 112, 0, -68, 0, 136, 0, 56, 0, -32, 0, -80, 0, 64, 0, 68, 0, 72, 0, 24, 0, 32, 0, 0, 0, 4, 0, -20, 0, -64, 0, 0, 0, 136, 0, -108, 0, 24, 0, 20, 0, 56, 0, -80, 0, 80, 0, -128, 0, -16, 0, -120, 0, -24, 0, 0, 0, 16, 0, -32, 0, 0, 0, -40, 0, 0, 0, -16, 0, -24, 0, 0, 0, -160, 0, -192, 0, -64, 0, -72, 0, -80, 0, -108, 0, -136, 0, -8, 0, -8, 0, -48, 0, 124, 0, 0, 0, -8, 0, -140, 0, 96, 0, 36, 0, -112, 0, -40, 0, 16, 0, -32, 0, -212, 0, -152, 0, 16, 0, 156, 0, 88, 0, 4, 0, -16, 0, -72, 0, 0, 0, -12, 0, -48, 0, 32, 0, -40, 0, -16, 0, -64, 0, -40, 0, 160, 0, 108, 0, 0, 0, 132, 0, 56, 0, -96, 0, 24, 0, 96, 0, 0, 0, 72, 0, 0, 0, 0, 0, -32, 0, -152, 0, 44, 0, -120, 0, 16, 0, -96, 0, -136, 0, -68, 0, 40, 0, 0, 0, -32, 0, 0, 0, 36, 0, -8, 0, -16, 0, 88, 0, -60, 0, 80, 0, 76, 0, 128, 0, 0, 0, 176, 0, 120, 0, 164, 0, 16, 0, 120, 0, -36, 0, 68, 0, 320, 0, 16, 0, 160, 0, 92, 0, -224, 0, -64, 0, 0, 0, 272, 0, 132, 0, 96, 0, 160, 0, -140, 0, 152, 0, 44, 0, 88, 0, 88, 0, 24, 0, -152, 0, -24, 0, 476, 0, -72, 0, -160, 0, 192, 0, 116, 0, 56, 0, 216, 0, 104, 0, 16, 0, 148, 0, -180, 0, -220, 0, -112, 0, -8, 0, 180, 0, 0, 0, -28, 0, -32, 0, 0, 0, 72, 0, -116, 0, 160, 0, -68, 0, -136, 0, -64, 0, -32, 0, -16, 0, -40, 0, 112, 0, -72, 0, 36, 0, 72, 0, 0, 0, -8, 0, 68, 0, -316, 0, -156, 0, -40, 0, 96, 0, -136, 0, 36, 0, 0, 0, -112, 0, 0, 0, 4, 0, 308, 0, -88, 0, 272, 0, 16, 0, -240, 0, 12, 0, 60, 0, -32, 0, 64, 0, 0, 0, -56, 0, 0, 0, 176, 0, -40, 0, 0, 0, -220, 0, 52, 0, 0, 0, -336, 0, -128, 0, -264, 0, 72, 0, -64, 0, -64, 0, 416, 0, 132, 0, -56, 0, 0, 0, 0, 0, 80, 0, -144, 0, 244, 0, 80, 0, -384, 0, -204, 0, 48, 0, -44, 0, 136, 0, 128, 0, 168, 0, 104, 0, -8, 0, -80, 0, -80, 0, 0, 0, 520, 0, -156, 0, 0, 0, 288, 0, 128, 0, -92, 0, 184, 0, -336, 0, -128, 0, -184, 0, 160, 0, 0, 0, 160, 0, -352, 0, 0, 0, -168, 0, 0, 0, 64, 0, -72, 0, 0, 0, -180, 0, -632, 0, -144, 0, -240, 0, -16, 0, -72, 0, -232, 0, -32, 0, 156, 0, 52, 0, 108, 0, 0, 0, 40, 0, -264, 0, 176, 0, -80, 0, -236, 0, 32, 0, 32, 0, -636, 0, 44, 0, -268, 0, 360, 0, 128, 0, 172, 0, -160, 0, 168, 0, -256, 0, 0, 0, -232, 0, 44, 0, -200, 0, 68, 0, 0, 0, -304, 0, -304, 0, 456, 0, -112, 0, 0, 0, 96, 0, 144, 0, -200, 0, 160, 0, 152, 0, -232, 0, 48, 0, 0, 0, 136, 0, -48, 0, -276, 0, 96, 0, -304, 0, 152, 0, -176, 0, -512, 0, 56, 0, -64, 0, 0, 0, -152, 0, 0, 0, -84, 0, 48, 0, 176, 0, 176, 0, -104, 0, -40, 0, 96, 0, 96, 0, 0, 0, 296, 0, 328, 0, 388, 0, 24, 0, 56, 0, 72, 0, 160, 0, 592, 0, -96, 0, 64, 0, -96, 0, -124, 0, 80, 0, 0, 0, 152, 0, 48, 0, 152, 0, -292, 0, -32, 0, 432, 0, 208, 0, 312, 0, 164, 0, 220, 0, -184, 0, -216, 0, 448, 0, 76, 0, -112, 0, 112, 0, -112, 0, 44, 0, 100, 0, 168, 0, -104, 0, -44, 0, -212, 0, -508, 0, -176, 0, -220, 0, 400, 0, -108, 0, 16, 0, -48, 0, 0, 0, 72, 0, -64, 0, 224, 0, -200, 0, -256, 0, 168, 0, -200, 0, 304, 0, -192, 0, 128, 0, -116, 0, -396, 0, 404, 0, 0, 0, 52, 0, 64, 0, -492, 0, -188, 0, 344, 0, 160, 0, 48, 0, 260, 0, 0, 0, -24, 0, 0, 0, 96, 0, 116, 0, -136, 0, 156, 0, 80, 0, -68, 0, -4, 0, -72, 0, 104, 0, 96, 0, 0, 0, -280, 0, 216, 0, 164, 0, -160, 0, -16, 0, -196, 0, -108, 0, 0, 0, -324, 0, 108, 0, -236, 0, -96, 0, -292, 0, 160, 0, 280, 0, 372, 0, -76, 0, 0, 0, 124, 0, 224, 0, -220, 0, 564, 0, 352, 0, -96, 0, -200, 0, 712, 0, 360, 0, 304, 0, -288, 0, 16, 0, -80, 0, -92, 0, 32, 0, -72, 0, 0, 0, 360, 0, -368, 0, 120, 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: 19415073
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 413, 'source_dim': 84, 'source_embedding_index': 18, 'source_hecke_orbit_code': 1649300996916, 'source_is_minimal': True, 'source_label': '820.2.y.a.413.18', 'source_level': 820, 'target_conrey_index': 413, 'target_dim': 84, 'target_embedding_index': 18, 'target_hecke_orbit_code': 1649300996916, 'target_is_minimal': True, 'target_label': '820.2.y.a.413.18', 'target_level': 820, 'twist_class_label': '820.2.x.a.577.4', 'twist_class_level': 820, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 19415074
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 413, 'source_dim': 84, 'source_embedding_index': 18, 'source_hecke_orbit_code': 1649300996916, 'source_is_minimal': True, 'source_label': '820.2.y.a.413.18', 'source_level': 820, 'target_conrey_index': 577, 'target_dim': 84, 'target_embedding_index': 4, 'target_hecke_orbit_code': 1580581520180, 'target_is_minimal': True, 'target_label': '820.2.x.a.577.4', 'target_level': 820, 'twist_class_label': '820.2.x.a.577.4', 'twist_class_level': 820, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 19415075
    {'conductor': 41, 'degree': 4, 'order': 8, 'parity': -1, 'source_conrey_index': 413, 'source_dim': 84, 'source_embedding_index': 18, 'source_hecke_orbit_code': 1649300996916, 'source_is_minimal': True, 'source_label': '820.2.y.a.413.18', 'source_level': 820, 'target_conrey_index': 793, 'target_dim': 84, 'target_embedding_index': 4, 'target_hecke_orbit_code': 1580581520180, 'target_is_minimal': True, 'target_label': '820.2.x.a.793.4', 'target_level': 820, 'twist_class_label': '820.2.x.a.577.4', 'twist_class_level': 820, 'twisting_char_label': '41.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 19415076
    {'conductor': 205, 'degree': 4, 'order': 8, 'parity': 1, 'source_conrey_index': 413, 'source_dim': 84, 'source_embedding_index': 18, 'source_hecke_orbit_code': 1649300996916, 'source_is_minimal': True, 'source_label': '820.2.y.a.413.18', 'source_level': 820, 'target_conrey_index': 137, 'target_dim': 84, 'target_embedding_index': 18, 'target_hecke_orbit_code': 1649300996916, 'target_is_minimal': True, 'target_label': '820.2.y.a.137.18', 'target_level': 820, 'twist_class_label': '820.2.x.a.577.4', 'twist_class_level': 820, 'twisting_char_label': '205.137', 'twisting_conrey_index': 137, 'weight': 2}
• hecke_orbit_code 1649300996916 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 25, 'hecke_orbit': 1, 'label': '820.2.y.a', 'level': 820, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 13469472
    {'hecke_orbit_code': 1649300996916, 'n': 1, 'trace_an': 84}
  • id: 13469473
    {'hecke_orbit_code': 1649300996916, 'n': 2, 'trace_an': 0}
  • id: 13469474
    {'hecke_orbit_code': 1649300996916, 'n': 3, 'trace_an': 0}
  • id: 13469475
    {'hecke_orbit_code': 1649300996916, 'n': 4, 'trace_an': 0}
  • id: 13469476
    {'hecke_orbit_code': 1649300996916, 'n': 5, 'trace_an': 0}
  • id: 13469477
    {'hecke_orbit_code': 1649300996916, 'n': 6, 'trace_an': 0}
  • id: 13469478
    {'hecke_orbit_code': 1649300996916, 'n': 7, 'trace_an': 0}
  • id: 13469479
    {'hecke_orbit_code': 1649300996916, 'n': 8, 'trace_an': 0}
  • id: 13469480
    {'hecke_orbit_code': 1649300996916, 'n': 9, 'trace_an': 8}
  • id: 13469481
    {'hecke_orbit_code': 1649300996916, 'n': 10, 'trace_an': 0}
  • id: 13469482
    {'hecke_orbit_code': 1649300996916, 'n': 11, 'trace_an': 0}
  • id: 13469483
    {'hecke_orbit_code': 1649300996916, 'n': 12, 'trace_an': 0}
  • id: 13469484
    {'hecke_orbit_code': 1649300996916, 'n': 13, 'trace_an': 4}
  • id: 13469485
    {'hecke_orbit_code': 1649300996916, 'n': 14, 'trace_an': 0}
  • id: 13469486
    {'hecke_orbit_code': 1649300996916, 'n': 15, 'trace_an': 4}
  • id: 13469487
    {'hecke_orbit_code': 1649300996916, 'n': 16, 'trace_an': 0}
  • id: 13469488
    {'hecke_orbit_code': 1649300996916, 'n': 17, 'trace_an': -16}
  • id: 13469489
    {'hecke_orbit_code': 1649300996916, 'n': 18, 'trace_an': 0}
  • id: 13469490
    {'hecke_orbit_code': 1649300996916, 'n': 19, 'trace_an': 0}
  • id: 13469491
    {'hecke_orbit_code': 1649300996916, 'n': 20, 'trace_an': 0}
  • id: 13469492
    {'hecke_orbit_code': 1649300996916, 'n': 21, 'trace_an': -8}
  • id: 13469493
    {'hecke_orbit_code': 1649300996916, 'n': 22, 'trace_an': 0}
  • id: 13469494
    {'hecke_orbit_code': 1649300996916, 'n': 23, 'trace_an': 0}
  • id: 13469495
    {'hecke_orbit_code': 1649300996916, 'n': 24, 'trace_an': 0}
  • id: 13469496
    {'hecke_orbit_code': 1649300996916, 'n': 25, 'trace_an': 0}
  • id: 13469497
    {'hecke_orbit_code': 1649300996916, 'n': 26, 'trace_an': 0}
  • id: 13469498
    {'hecke_orbit_code': 1649300996916, 'n': 27, 'trace_an': -12}
  • id: 13469499
    {'hecke_orbit_code': 1649300996916, 'n': 28, 'trace_an': 0}
  • id: 13469500
    {'hecke_orbit_code': 1649300996916, 'n': 29, 'trace_an': 28}
  • id: 13469501
    {'hecke_orbit_code': 1649300996916, 'n': 30, 'trace_an': 0}
  • id: 13469502
    {'hecke_orbit_code': 1649300996916, 'n': 31, 'trace_an': 0}
  • id: 13469503
    {'hecke_orbit_code': 1649300996916, 'n': 32, 'trace_an': 0}
  • id: 13469504
    {'hecke_orbit_code': 1649300996916, 'n': 33, 'trace_an': 40}
  • id: 13469505
    {'hecke_orbit_code': 1649300996916, 'n': 34, 'trace_an': 0}
  • id: 13469506
    {'hecke_orbit_code': 1649300996916, 'n': 35, 'trace_an': -20}
  • id: 13469507
    {'hecke_orbit_code': 1649300996916, 'n': 36, 'trace_an': 0}
  • id: 13469508
    {'hecke_orbit_code': 1649300996916, 'n': 37, 'trace_an': 24}
  • id: 13469509
    {'hecke_orbit_code': 1649300996916, 'n': 38, 'trace_an': 0}
  • id: 13469510
    {'hecke_orbit_code': 1649300996916, 'n': 39, 'trace_an': -16}
  • id: 13469511
    {'hecke_orbit_code': 1649300996916, 'n': 40, 'trace_an': 0}
  • id: 13469512
    {'hecke_orbit_code': 1649300996916, 'n': 41, 'trace_an': 0}
  • id: 13469513
    {'hecke_orbit_code': 1649300996916, 'n': 42, 'trace_an': 0}
  • id: 13469514
    {'hecke_orbit_code': 1649300996916, 'n': 43, 'trace_an': 0}
  • id: 13469515
    {'hecke_orbit_code': 1649300996916, 'n': 44, 'trace_an': 0}
  • id: 13469516
    {'hecke_orbit_code': 1649300996916, 'n': 45, 'trace_an': -20}
  • id: 13469517
    {'hecke_orbit_code': 1649300996916, 'n': 46, 'trace_an': 0}
  • id: 13469518
    {'hecke_orbit_code': 1649300996916, 'n': 47, 'trace_an': 28}
  • id: 13469519
    {'hecke_orbit_code': 1649300996916, 'n': 48, 'trace_an': 0}
  • id: 13469520
    {'hecke_orbit_code': 1649300996916, 'n': 49, 'trace_an': -24}
  • id: 13469521
    {'hecke_orbit_code': 1649300996916, 'n': 50, 'trace_an': 0}
  • id: 13469522
    {'hecke_orbit_code': 1649300996916, 'n': 51, 'trace_an': 0}
  • id: 13469523
    {'hecke_orbit_code': 1649300996916, 'n': 52, 'trace_an': 0}
  • id: 13469524
    {'hecke_orbit_code': 1649300996916, 'n': 53, 'trace_an': -32}
  • id: 13469525
    {'hecke_orbit_code': 1649300996916, 'n': 54, 'trace_an': 0}
  • id: 13469526
    {'hecke_orbit_code': 1649300996916, 'n': 55, 'trace_an': 16}
  • id: 13469527
    {'hecke_orbit_code': 1649300996916, 'n': 56, 'trace_an': 0}
  • id: 13469528
    {'hecke_orbit_code': 1649300996916, 'n': 57, 'trace_an': -8}
  • id: 13469529
    {'hecke_orbit_code': 1649300996916, 'n': 58, 'trace_an': 0}
  • id: 13469530
    {'hecke_orbit_code': 1649300996916, 'n': 59, 'trace_an': 0}
  • id: 13469531
    {'hecke_orbit_code': 1649300996916, 'n': 60, 'trace_an': 0}
  • id: 13469532
    {'hecke_orbit_code': 1649300996916, 'n': 61, 'trace_an': 4}
  • id: 13469533
    {'hecke_orbit_code': 1649300996916, 'n': 62, 'trace_an': 0}
  • id: 13469534
    {'hecke_orbit_code': 1649300996916, 'n': 63, 'trace_an': 72}
  • id: 13469535
    {'hecke_orbit_code': 1649300996916, 'n': 64, 'trace_an': 0}
  • id: 13469536
    {'hecke_orbit_code': 1649300996916, 'n': 65, 'trace_an': 12}
  • id: 13469537
    {'hecke_orbit_code': 1649300996916, 'n': 66, 'trace_an': 0}
  • id: 13469538
    {'hecke_orbit_code': 1649300996916, 'n': 67, 'trace_an': -48}
  • id: 13469539
    {'hecke_orbit_code': 1649300996916, 'n': 68, 'trace_an': 0}
  • id: 13469540
    {'hecke_orbit_code': 1649300996916, 'n': 69, 'trace_an': 16}
  • id: 13469541
    {'hecke_orbit_code': 1649300996916, 'n': 70, 'trace_an': 0}
  • id: 13469542
    {'hecke_orbit_code': 1649300996916, 'n': 71, 'trace_an': 8}
  • id: 13469543
    {'hecke_orbit_code': 1649300996916, 'n': 72, 'trace_an': 0}
  • id: 13469544
    {'hecke_orbit_code': 1649300996916, 'n': 73, 'trace_an': 0}
  • id: 13469545
    {'hecke_orbit_code': 1649300996916, 'n': 74, 'trace_an': 0}
  • id: 13469546
    {'hecke_orbit_code': 1649300996916, 'n': 75, 'trace_an': -20}
  • id: 13469547
    {'hecke_orbit_code': 1649300996916, 'n': 76, 'trace_an': 0}
  • id: 13469548
    {'hecke_orbit_code': 1649300996916, 'n': 77, 'trace_an': 0}
  • id: 13469549
    {'hecke_orbit_code': 1649300996916, 'n': 78, 'trace_an': 0}
  • id: 13469550
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  • id: 13469551
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  • id: 13469552
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  • id: 13469553
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  • id: 13469554
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  • id: 13469555
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  • id: 13469556
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  • id: 13469557
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  • id: 13469558
    {'hecke_orbit_code': 1649300996916, 'n': 87, 'trace_an': -24}
  • id: 13469559
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  • id: 13469560
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  • id: 13469561
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  • id: 13469562
    {'hecke_orbit_code': 1649300996916, 'n': 91, 'trace_an': -40}
  • id: 13469563
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  • id: 13469564
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  • id: 13469565
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  • id: 13469566
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  • id: 13469567
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  • id: 13469568
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  • id: 13469569
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  • id: 13469570
    {'hecke_orbit_code': 1649300996916, 'n': 99, 'trace_an': 48}
  • id: 13469571
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  • id: 13469572
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  • id: 13469573
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  • id: 13469574
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  • id: 13469575
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  • id: 13469576
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  • id: 13469577
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  • id: 13469578
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  • id: 13469579
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  • id: 13469580
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  • id: 13469581
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  • id: 13469582
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  • id: 13469583
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  • id: 13469584
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  • id: 13469585
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  • id: 13469586
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  • id: 13469587
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  • id: 13469588
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  • id: 13469589
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  • id: 13469590
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  • id: 13469591
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  • id: 13469592
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  • id: 13469593
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  • id: 13469594
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  • id: 13469595
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  • id: 13469596
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  • id: 13469597
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  • id: 13469598
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  • id: 13469599
    {'hecke_orbit_code': 1649300996916, 'n': 227, 'trace_an': -136}
  • id: 13469600
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  • id: 13469601
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  • id: 13469602
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  • id: 13469603
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  • id: 13469604
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  • id: 13469605
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  • id: 13469606
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  • id: 13469607
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  • id: 13469608
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  • id: 13469609
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  • id: 13469610
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  • id: 13469611
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  • id: 13469612
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  • id: 13469613
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  • id: 13469614
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  • id: 13469615
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  • id: 13469616
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  • id: 13469617
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  • id: 13469618
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  • id: 13469619
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  • id: 13469620
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  • id: 13469621
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  • id: 13469622
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  • id: 13469623
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  • id: 13469624
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  • id: 13469625
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  • id: 13469626
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  • id: 13469627
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  • id: 13469628
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  • id: 13469629
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  • id: 13469630
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  • id: 13469631
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  • id: 13469632
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  • id: 13469633
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  • id: 13469634
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  • id: 13469635
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  • id: 13469636
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  • id: 13469637
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  • id: 13469638
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  • id: 13469639
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  • id: 13469640
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  • id: 13469641
    {'hecke_orbit_code': 1649300996916, 'n': 443, 'trace_an': 72}
  • id: 13469642
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  • id: 13469643
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  • id: 13469644
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  • id: 13469645
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  • id: 13469646
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  • id: 13469647
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  • id: 13469648
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  • id: 13469649
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  • id: 13469650
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  • id: 13469651
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  • id: 13469652
    {'hecke_orbit_code': 1649300996916, 'n': 509, 'trace_an': -32}
  • id: 13469653
    {'hecke_orbit_code': 1649300996916, 'n': 512, 'trace_an': 0}
  • id: 13469654
    {'hecke_orbit_code': 1649300996916, 'n': 521, 'trace_an': -40}
  • id: 13469655
    {'hecke_orbit_code': 1649300996916, 'n': 523, 'trace_an': 0}
  • id: 13469656
    {'hecke_orbit_code': 1649300996916, 'n': 529, 'trace_an': 0}
  • id: 13469657
    {'hecke_orbit_code': 1649300996916, 'n': 541, 'trace_an': -64}
  • id: 13469658
    {'hecke_orbit_code': 1649300996916, 'n': 547, 'trace_an': -56}
  • id: 13469659
    {'hecke_orbit_code': 1649300996916, 'n': 557, 'trace_an': 244}
  • id: 13469660
    {'hecke_orbit_code': 1649300996916, 'n': 563, 'trace_an': -204}
  • id: 13469661
    {'hecke_orbit_code': 1649300996916, 'n': 569, 'trace_an': 136}
  • id: 13469662
    {'hecke_orbit_code': 1649300996916, 'n': 571, 'trace_an': 128}
  • id: 13469663
    {'hecke_orbit_code': 1649300996916, 'n': 577, 'trace_an': -8}
  • id: 13469664
    {'hecke_orbit_code': 1649300996916, 'n': 587, 'trace_an': -156}
  • id: 13469665
    {'hecke_orbit_code': 1649300996916, 'n': 593, 'trace_an': 128}
  • id: 13469666
    {'hecke_orbit_code': 1649300996916, 'n': 599, 'trace_an': -336}
  • id: 13469667
    {'hecke_orbit_code': 1649300996916, 'n': 601, 'trace_an': -128}
  • id: 13469668
    {'hecke_orbit_code': 1649300996916, 'n': 607, 'trace_an': 0}
  • id: 13469669
    {'hecke_orbit_code': 1649300996916, 'n': 613, 'trace_an': 0}
  • id: 13469670
    {'hecke_orbit_code': 1649300996916, 'n': 617, 'trace_an': 0}
  • id: 13469671
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  • id: 13469672
    {'hecke_orbit_code': 1649300996916, 'n': 625, 'trace_an': -180}
  • id: 13469673
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  • id: 13469674
    {'hecke_orbit_code': 1649300996916, 'n': 641, 'trace_an': 156}
  • id: 13469675
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  • id: 13469676
    {'hecke_orbit_code': 1649300996916, 'n': 647, 'trace_an': 0}
  • id: 13469677
    {'hecke_orbit_code': 1649300996916, 'n': 653, 'trace_an': 176}
  • id: 13469678
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  • id: 13469679
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  • id: 13469680
    {'hecke_orbit_code': 1649300996916, 'n': 673, 'trace_an': 172}
  • id: 13469681
    {'hecke_orbit_code': 1649300996916, 'n': 677, 'trace_an': 168}
  • id: 13469682
    {'hecke_orbit_code': 1649300996916, 'n': 683, 'trace_an': -232}
  • id: 13469683
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  • id: 13469684
    {'hecke_orbit_code': 1649300996916, 'n': 701, 'trace_an': 0}
  • id: 13469685
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  • id: 13469686
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  • id: 13469687
    {'hecke_orbit_code': 1649300996916, 'n': 727, 'trace_an': -304}
  • id: 13469688
    {'hecke_orbit_code': 1649300996916, 'n': 729, 'trace_an': 152}
  • id: 13469689
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  • id: 13469690
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  • id: 13469691
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  • id: 13469692
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  • id: 13469693
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  • id: 13469694
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  • id: 13469695
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  • id: 13469696
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  • id: 13469697
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  • id: 13469698
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  • id: 13469699
    {'hecke_orbit_code': 1649300996916, 'n': 809, 'trace_an': 220}
  • id: 13469700
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  • id: 13469701
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  • id: 13469702
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  • id: 13469703
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  • id: 13469704
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  • id: 13469705
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  • id: 13469706
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  • id: 13469707
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  • id: 13469708
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  • id: 13469709
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  • id: 13469710
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  • id: 13469711
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  • id: 13469712
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  • id: 13469713
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  • id: 13469714
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  • id: 13469715
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  • id: 13469716
    {'hecke_orbit_code': 1649300996916, 'n': 911, 'trace_an': 80}
  • id: 13469717
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  • id: 13469718
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  • id: 13469719
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  • id: 13469720
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  • id: 13469721
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  • id: 13469722
    {'hecke_orbit_code': 1649300996916, 'n': 953, 'trace_an': 280}
  • id: 13469723
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  • id: 13469724
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  • id: 13469725
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  • id: 13469726
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  • id: 13469727
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  • id: 13469728
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  • id: 13469729
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