Embedded newform data - 399.2.bq.b.100.1

Formats: - HTML - YAML - JSON - 2025-12-11T14:38:23.491658

• 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': 1596, 'analytic_conductor': 3.1860310406490875, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 133, 'char_degree': 6, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 43, 'char_orbit_label': 'bq', 'char_order': 9, 'char_parity': 1, 'char_values': [399, 9, [134, 115, 211], [9, 6, 1]], 'cm_discs': [], 'conrey_index': 4, 'dim': 90, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [419904, 81881280, 6977229840, 123182300664, 250570462824, -4107014394858, 52577888170671, 26910428318397, 899543454080274, 2139012478008681, 7244064100956879, 6256510651415406, 13309828502083714, -35585182401231936, -25591652016332772, -4767735649054380, -46508740822073994, 388070325722998149, 597516382365303718, -460949492245806882, -226270559468337915, -44862695030550261, -389395148780949936, 1143955079338685919, 1480904250946493201, -27048935569692825, 757418369375780490, 119658428021362134, 987241264728919836, 2358452917821106245, 2719403348090455227, 950323197695500041, 518044924624416375, -146343197771427604, -141863501322320169, 374967967253002077, 733728888861621929, 355851524423522160, 137219027941005843, -19931988633726842, 10665911499637197, 104195495354843943, 128519444255030384, 36595326907197942, 3218591666524602, -892907469439601, 1978961749333740, 3385971125941533, 4755685374649164, 880732128000603, -38705673411096, -45836601155146, 52537808333769, 38466090463944, 131040824945610, 14292464767155, -810502050921, -1049447499893, 944175509796, -22133085390, 1876617917066, 184873564194, -25597230630, -5350429169, 4763390508, -3136008822, 19346172980, 1237129377, 27387564, -22766065, -11690025, -27545835, 104698229, 7957449, 411774, 87103, -53586, -56913, 400845, 19446, 189, 256, -42, -141, 762, 33, 0, 0, 0, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4506485878948239, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 133, 23, 1, 9, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '399.2.bq.b', 'level': 399, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 7, 19], 'level_radical': 399, 'minimal_twist': '399.2.bp.b', 'prim_orbit_index': 23, 'related_objects': [], 'relative_dim': 15, 'rm_discs': [], 'sato_tate_group': '1.2.3.c9', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '399.2.bq', 'trace_display': [0, 0, 0, 6], 'traces': [90, 0, 0, 0, 0, 0, 6, 0, 0, -6, 18, 108, -9, -3, 0, 0, -12, 0, -30, -60, -9, 0, 18, 9, 6, 12, -45, -45, -18, -12, -18, -21, -12, 18, -9, 0, -6, 39, -12, 18, 27, -3, -39, -78, 3, 18, 24, 0, -6, -9, 6, -48, 27, 0, -42, 39, -6, -18, -60, -18, -12, 93, -12, -108, -33, 0, -42, 18, -12, 6, -18, 9, 51, 114, -72, 24, -39, 9, 87, 42, 0, 12, 24, 3, 36, -69, 0, -36, -48, 3, 6, -18, -21, -54, 36, 0, 21, -75, 6, -96, 18, -48, -48, 30, -27, 36, -72, 0, 27, -51, 36, 111, 24, 6, -33, 99, -18, -12, -12, 18, 156, -24, 27, 84, -9, 6, 6, 87, -21, -99, 33, 48, 42, 336, 0, 0, -9, 24, 114, -27, 9, 33, 18, 144, 354, -234, 90, -9, -75, 57, 42, -177, 12, 30, -30, -48, 120, -123, -12, -246, -198, 0, -12, 15, 12, -15, 54, -69, -21, 18, 6, -96, 57, -27, 3, -237, 39, -15, -96, 36, 3, 90, -15, 135, -216, -15, -48, 6, -3, -15, 3, -9, -39, -216, 18, -279, -186, -18, -30, -246, -18, 6, -3, -135, 111, 393, -18, -189, 9, 27, 168, 447, 54, 6, 39, 0, 135, 75, -48, -264, 0, -48, -66, 3, -12, -300, -6, -63, -60, -150, 42, 15, -33, 18, -102, 63, -39, 21, -36, -114, -36, 141, 0, 348, 15, 48, 0, -24, -51, -285, 42, -33, 9, 270, 66, 84, 330, -18, -126, 144, -18, -63, -96, 78, -12, 144, 24, -27, 18, 3, -90, 687, 72, 18, 21, -18, 360, 132, -21, 615, -93, -18, 111, 186, -24, 36, -27, -12, -102, 540, 48, -54, 6, -66, 36, 27, -9, 96, -30, 3, -36, -378, 78, 156, -54, -18, -132, -258, -99, 24, -81, 102, 78, 108, -30, -78, 36, -48, -12, -42, -75, 0, 42, -54, -93, -168, 27, -9, -57, -45, -42, -150, 36, -6, 54, -9, -102, -72, 12, 168, -39, 39, -69, 498, 126, 48, -66, -126, 0, 705, 27, -441, 84, 12, 18, -180, 15, -213, -24, -60, -168, 9, 18, 162, -18, 12, 93, 36, 6, -486, -90, -12, -264, -297, -27, 42, -138, -21, -126, -165, -96, -228, -147, -84, -9, -204, 54, -288, -12, 0, -12, -354, 33, -30, -15, -78, 84, -282, 15, 840, -186, 144, 156, -69, 0, 510, 27, 18, 0, -600, 258, -348, 63, -30, 27, 66, 27, -69, -54, 87, -96, -39, 6, -33, -126, -192, -213, 9, 54, -36, -39, 0, 138, -411, 12, 318, 225, 72, -63, -147, 21, -477, -129, -6, 138, 15, 24, -12, 15, 21, -120, -75, -3, -42, 51, 108, -246, -276, 6, -189, -144, -276, -210, -60, -30, 207, 15, -60, -291, 3, 120, 432, 111, -156, 90, -495, 27, 624, -198, 96, -114, -102, -39, 564, -234, 0, 57, 261, 105, -111, 165, -225, -18, -228, 24, 36, 390, -24, 15, 456, -30, -105, 129, 30, -21, -126, 69, -153, 66, 489, -150, -288, 33, -438, 78, -195, 45, 60, 57, 438, -360, -27, 396, 30, 6, 102, 171, -309, -72, 450, -12, -132, 828, 54, 60, 687, 24, 390, 99, 30, 57, 222, 234, 690, 294, 378, -333, 135, 105, 207, -258, 120, 21, -72, -216, 651, -21, 0, -195, -309, 78, -9, 81, 15, 72, 651, 9, -339, 180, -48, 48, -165, -42, -60, -72, -9, -171, -246, 42, 135, 3, -24, -66, -507, 0, -24, -108, -102, 63, 84, -60, -360, -309, -18, -387, -297, -6, -321, -156, 72, -96, 168, -15, 366, 405, -33, -207, -222, 117, 456, 249, 18, 18, -258, -27, 450, 162, -129, -96, 390, 0, 21, 39, -255, -138, -18, -213, 27, -123, -30, -66, -234, -48, 0, 123, -255, -177, 36, -60, 438, 129, 6, 279, -213, -42, 393, -93, -18, -459, 261, -39, -54, 684, 60, 78, 408, -9, -126, -141, -18, -396, -159, 15, 168, 477, 72, -111, -135, -30, 15, 309, 516, 21, -153, -12, -384, 150, -300, 612, -801, -21, 603, 204, -84, 12, 468, 21, -204, 900, 192, -186, 123, 60, 135, -78, -54, 96, 189, -33, -543, -114, -6, -171, 3, -72, -15, -282, -312, -27, -522, 18, 369, 24, 18, 0, 78, -60, 300, 153, 42, -117, 234, -204, -321, -480, 141, -123, -357, -45, -66, -45, 348, -69, 135, -327, -657, -78, 12, 120, -42, 69, -99, 558, 276, 39, -84, 66, -6, 519, 471, -366, -48, -30, -27, -318, -18, -282, -162, -135, -759, -3, 39, 465, -57, 36, 348, 12, -156, 57, -258, 132, -474, -240, -51, 105, -513, -39, 330, -153, -489, -147, -225, 18, -327, -114, -138, -312, 114, 93, 120, -327, 78, 3, -225, -72, 549, -66, -189, 510, -720, -48, 165, -12, -27, 327, -45, -45, -168, 366, 24, 174, 228, 18, -99, 36, -33, -6, -180, 3, -132, 477, 111, 69, -732, -105, -135, -132, -42, -72, -108, -48, 195, -159, -30, 228, -126, -18, -246, 105, 129, -372, -231, -24, 486, -81, 0, -108, 48, -33, -201, -120, -114, -162, -291, -66, -342, -240, 9, 99, -237, 18, -303, 75, -12, 3, 246, -153, -225, -306, 540, 105, 405, 36, 24, -495, 159, 126, -9, 192, -48, 198, 75, 414, -291, -108, 264, 156, 333, -105, -6, 6, -6, -399, 12, -279, 741, 6, -438, 432, -150, -159, -153, 39, 54, -618, 450, -81, -366, 18, -579, 0, 462, -366, 3, -162, 153, -384, -18, 240, -1140, -132, -93, -117, 30, 102, 318, 0, 171, 183, 84, 555, 1548, 48, 309, 582, 30, -231, 33, 99, -360, -63, -456, 816, -6, 36, -450, 24, 495, -33, 201, 12, 318, 54, -48, 633, -39, 36, -225, -525, 237, -39, 102, 15, 147, 174, -69, -159, 243, 48, 225, -330, 0, -141, -531, 141, -468, 186, 498, 54, 18, 45, -111, -249, 99, 42, -153, 168, -132, -219, 75, -222, -186, 42, -297, -369, 42, -27, -279, -6, -339], '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], [-0.34367082622719264, 1.9490541087152748], [-0.5425317875662491, 0.19746542181734922], [-2.7410096611143047, -0.9976459284816975], [1.427376467794604, -0.5195225473692665], [-0.19841844403489078, -1.12528691433191], [0.9078712030723087, 0.4192491844142798], [1.8969102458848173, -3.2855449232704754], [0.255348147706326, -0.21426253656217978], [0.5220299054960714, 2.9605787123366207], [1.0642837982186073, 0.0], [1.6840854452727019, 0.0], [-0.04687730257262248, -0.2658543938328323], [-1.1291481919259156, 1.6254063849296307], [-0.6718093676427092, 0.5637149926104389], [3.5173005719824544, 2.9513656126901133], [-0.432546984441882, -0.3629500151120279], [0.329853568332457, 0.571323139409708], [0.5657482261418808, -0.8245780403438568], [-4.43075224240961, 0.0], [-0.5753362037296862, -0.04818283938547347], [-0.36576329227400356, 2.074346709757075], [0.05642355891672921, 0.3199939038825751], [-0.38035259237916835, 2.157086742204443], [1.0014554604697703, -0.8403209075206575], [0.534274959926326, 0.0], [-0.09622504486493763, 0.16666666666666666], [-2.0702214968184864, -2.0549000742247028], [-0.858954008669389, -0.3126336917592911], [-0.8678297420468392, -1.5031252055445181], [0.23442476278303404, -0.4060355996924966], [-4.054929761486191, 3.4024900673128387], [-0.5774077915253383, 0.2101592491486079], [0.8560629977375913, -0.7183221456661295], [1.5136833953231836, 0.12676685987169675], [-0.9136698870381016, 0.3325486428272325], [-0.475577741464439, 0.8237248111652643], [1.412716057173835, 1.386057321073984], [0.07792947678120472, 0.13497781319230573], [1.0006903784608256, -5.675197150431246], [-0.04021109505150923, 0.22804845231254392], [0.29163722956802296, -1.1048023555504156], [0.8496258652833566, 0.7129207501979419], [-2.9172121730846303, -1.06177839804183], [0.2531637183303662, -0.43849242278125056], [-0.6430765642377647, 0.0], [0.06928536595466693, -0.05813732501854389], [-2.491040022372504, -0.9066644205094063], [0.6484602427359225, 0.7612485228825528], [1.2936598919131062, 2.2406846605075623], [0.3063405665083547, 0.111498847757287], [-0.13673741433775824, 0.7754764119952622], [-0.8169606555374685, -0.29734936118224264], [-0.291772610780064, -0.2448262900931838], [1.5191336486323008, -0.5529194299743693], [3.099612216489262, -2.1875735487433823], [-0.14411074588336625, 0.559075510333151], [0.9045374152968393, -1.5667047606411555], [-0.613739382935328, -0.5149884898600051], [2.403823934337652, -0.8749203605155795], [0.16258153155431737, 0.9220456841096031], [0.7108204019515721, 0.5964491371108501], [0.3216526237646565, -0.08746828417445647], [-2.9423212814165636, -5.096249951604652], [-0.20502891047919405, -0.3551204899704551], [-0.21117353525407973, -1.1976246312708618], [0.17769886022941647, 1.007780315385878], [0.8235198584221723, 1.426378235829131], [-0.09379930548909567, -0.162465162821788], [-0.7672842921989649, 2.906684769478406], [-0.8797496774474124, -0.7381976298744548], [-0.21959667159708485, -1.245394611277108], [-0.9924539884796957, 0.3612237106853817], [-1.4420420323080263, -1.2100169374518002], [-0.37738709867114134, 0.6536536290194259], [-2.3733582782776415, 1.6957599605690228], [0.9662326122990933, 0.446200114388483], [-0.28986114906071575, 0.10550083032829932], [0.06656329382919869, 0.055853235302025545], [6.553813047931079, 2.385392870392369], [0.019294241962992262, -0.10942308366802311], [-0.4306593927060708, -0.15674720005216902], [0.6182614382082356, 1.0708602233372702], [1.5289326792762927, 0.7060514494145395], [-0.8059681032265755, -0.2933483993424635], [-1.6815127404675996, 1.41095672034626], [0.5277441975781626, 0.0], [2.0188508413700856, -3.496752230156164], [0.02840295145177283, 0.01033782889375333], [0.7676404740129665, 0.6441268386210326], [0.06890068470397628, -0.2610148192421863], [0.16458309524220774, -0.9333971158635427], [-0.04700489463633417, 0.266578004384088], [0.08950143323401454, 0.15502102971154683], [0.3791488206672624, -1.4709022502618847], [1.5280541555834166, -2.6466674341872354], [1.325530419849374, -0.4824536174395542], [-1.7065714286742137, 1.0022651916196772], [0.2717628965089746, -0.22803614622834992], [-3.5833418243293442, 1.3042297632570323], [-0.09549276451643475, 0.08012794348583925], [-0.32259760293719164, 0.5587554386871468], [-0.1287707476057426, -0.22303747738177454], [-0.9623985895360622, -0.35028444009090326], [-0.8462534297310615, 0.230125079065058], [0.8603155376197831, -1.4901102216983981], [1.324099959141824, 0.0], [0.43002809902956773, -0.3608364192915771], [-0.06140500657819974, 0.34824509744045007], [0.5555879706050595, 3.150895956890772], [0.09535887490525631, -0.5408070535893795], [1.9558982758239494, 4.154085245642738], [-1.0191809435856194, 0.0], [-1.0401417613909634, -0.47301758393358123], [0.2467817083146733, 0.427438457179657], [2.042503506525797, 1.7138639390040973], [-0.06893266916021153, -0.057841377268398955], [1.2146647529242693, -1.0192247461827963], 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-0.12566072594870542, -0.021069141208841204], 'char_orbit_index': 43, 'conrey_index': 100, 'dual_conrey_index': 4, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 46, 'hecke_orbit': 2, 'hecke_orbit_code': 4506485878948239, 'label': '399.2.bq.b.100.1', 'level': 399, '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': 1596, 'analytic_conductor': 3.1860310406490875, 'char_conductor': 133, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 43, 'char_orbit_label': 'bq', 'char_order': 9, 'char_parity': 1, 'char_values': [399, 9, [134, 115, 211], [9, 6, 1]], 'conrey_index': 4, 'cusp_dim': 294, 'dim': 162, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 2886251577743, 'hecke_orbit_dims': [72, 90], 'label': '399.2.bq', 'level': 399, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 7, 19], 'level_radical': 399, 'mf_dim': 342, 'mf_new_dim': 162, 'num_forms': 2, 'prim_orbit_index': 23, 'relative_dim': 27, 'sturm_bound': 106, 'trace_bound': 1, 'trace_display': [0, 0, 0, 12], 'traces': [162, 0, 0, 0, 0, 0, 12, 0, 0, -36, -12, 48, 6, -30, 0, 0, -24, 0, -3, -48, -15, 0, 24, 0, 12, 24, -9, -36, -36, 0, -72, -42, 0, 12, 0, 0, -12, 138, 0, -72, 36, -12, -60, -72, 6, 36, 36, 0, -12, -18, 0, 6, 36, 0, 0, 36, -12, 36, -48, 0, 21, 18, -6, -102, -36, 0, 27, 36, -48, -12, -24, 18, 27, 60, -63, -36, -102, -12, 93, -72, 0, -96, 24, -72, 36, 18, 0, 0, 0, 18, -51, 96, -30, -108, -24, 0, -6, -72, 12, -48, -24, -48, -120, 60, -18, -24, -48, 0, 18, 102, 45, 174, 48, 12, -30, 132, -21, 12, 96, 108, 78, 48, 18, 126, -18, 12, -24, 132, -45, -30, 42, 144, 60, 264, 0, 84, 30, 36, -39, -192, 12, 18, -60, 180, 372, -216, 60, 96, -126, 90, 51, -222, 24, -24, 12, -102, 30, -114, 0, -228, -186, 0, 24, -18, 24, 138, -60, 6, -42, -60, 12, 24, -24, -72, -72, -192, 54, 18, -192, 72, -30, 144, -36, 78, -252, -48, -96, 114, 0, -174, 102, 72, -93, -294, 0, -174, -24, 0, -21, -162, 0, 12, -12, -228, 42, 480, -12, -246, -24, 36, 108, 312, 60, -252, -36, 0, 39, -48, -51, -360, 84, -84, -45, -60, -24, -216, -84, -144, -120, -168, 24, 318, 6, -60, -60, 42, -54, 90, -60, -144, -9, 234, 0, 432, 60, 144, 135, 84, -72, -414, 48, -24, 210, 144, 288, 24, 480, -36, 33, 48, -36, -66, -108, 84, 72, 486, 0, 210, 36, -12, -204, 612, 111, -132, -84, -132, 96, 192, -12, 282, -54, 0, -6, 174, -36, 240, 66, -24, -132, 534, 120, 276, 132, -78, -168, -42, -24, 156, 204, -144, 174, -372, 24, 360, 48, -24, -96, -582, -177, 336, -42, 132, 204, 102, -84, -252, 12, 36, 144, -216, 0, -204, -252, -84, 75, -66, 36, 30, 6, -42, -12, -150, 27, -96, 96, -162, -141, -468, -48, -168, -36, 36, -33, 168, 132, -108, -180, -132, -36, 732, 39, -270, 456, 0, 36, -342, -120, -138, 48, -72, -243, -174, 36, 408, 204, 204, -135, 276, 0, -408, 162, 36, -246, -576, -126, 492, -456, -12, 180, -312, -147, -492, -24, -84, 318, 24, -36, 192, -36, 84, -24, -246, 24, -360, 6, -72, -9, -420, 6, 516, -96, 264, 60, -198, 0, 444, -102, 24, 0, -360, 384, -354, -138, 12, -54, -420, 0, -306, -108, 30, -60, 234, -72, 186, 36, -228, -189, -378, 48, -216, -90, 0, -9, -132, 36, 342, 246, 60, -135, -108, 33, -378, -282, 96, -12, 24, -42, 0, -90, 24, 180, -180, -36, -192, -150, 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240, 480, -18, -120, -252, -372, -372, -30, -30, 408, 588, 0, 126, 60, -213, -330, 216, 522, -54, -78, 0, -192, 132, -384, 483, -414, 54, 642, 246, -84, 120, 534, 36, -96, 954, 228, -48, 432, 96, -234, -96, -216, 144, 414, -72, -252, -234, 0, 54, -78, -180, -54, -348, -186, 21, -414, 36, 462, -132, 108, -240, -18, -96, 660, 336, -72, -243, 180, -180, 186, -546, 48, -15, -162, -81, 12, -180, 264, -30, 348, -318, -666, -552, -96, 273, -144, 180, -138, 192, 192, -18, -912, 60, -96, 336, 312, -495, -192, -18, 30, -726, -54, -225, 438, -216, -738, -174, 150, -18, 558, 36, 192, 264, -234, 162, -348, 168, -300, -510, 18, 144, -1116, -66, 900, -312, -540, -222, -378, 0, 444, 366, -480, -264, 660, 42, 324, -168, 72, -153, -198, -180, 738, -36, -306, 324, -804, 0, 90, -204, -264, 30, -342, -72, -240, 108, 48, 36, -366, 132, 258, -576, 0, -93, -72, 0, 0, 486, -120, -90, -72, -228, -270, -276, 60, -240, 84, 36, 72, 24, 132, 72, 408, 36, -516, 264, 264, -324, -396, 48, 612, -186, 0, -312, -468, -60, 270, 192, -324, 33, -372, -72, -156, 186, 84, -138, -672, -156, -30, 132, 0, 114, 384, -171, -312, -186, 546, -129, 372, -15, -36, -666, 90, -3, -768, 408, -24, 0, -12, 267, -36, -72, 84, 120, 618, -366, 414, 12, -228, -390, -192, -330, 684, 276, -48, 498, -132, -198, 264, 279, 108, -480, 552, -282, 144, 120, -6, 384, 576, -312, -144, -228, -348, -36, -12, -216, -1104, -168, 18, -192, 96, 69, 240, -102, -18, 276, 48, 462, 948, 312, 870, 402, 60, -585, -972, 72, -156, 78, -192, 1056, 468, 36, -180, -60, 582, -156, 228, 192, 156, -348, -132, 90, -366, 120, -78, -624, -120, 9, -84, 30, 222, 312, -72, -39, 198, 60, 234, -462, 0, 24, -300, 333, -288, 204, 702, 48, 48, 18, -294, 270, 348, -36, -486, 48, -330, 174, 102, -219, -264, 57, -654, -342, -120, -123, -738, 0, -306], '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: 39422350
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 100, 'source_dim': 90, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4506485878948239, 'source_is_minimal': True, 'source_label': '399.2.bq.b.100.1', 'source_level': 399, 'target_conrey_index': 100, 'target_dim': 90, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506485878948239, 'target_is_minimal': True, 'target_label': '399.2.bq.b.100.1', 'target_level': 399, 'twist_class_label': '399.2.bp.b.214.1', 'twist_class_level': 399, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 39422351
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 100, 'source_dim': 90, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4506485878948239, 'source_is_minimal': True, 'source_label': '399.2.bq.b.100.1', 'source_level': 399, 'target_conrey_index': 214, 'target_dim': 90, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506417159471503, 'target_is_minimal': True, 'target_label': '399.2.bp.b.214.1', 'target_level': 399, 'twist_class_label': '399.2.bp.b.214.1', 'twist_class_level': 399, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 39422352
    {'conductor': 19, 'degree': 6, 'order': 9, 'parity': 1, 'source_conrey_index': 100, 'source_dim': 90, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4506485878948239, 'source_is_minimal': True, 'source_label': '399.2.bq.b.100.1', 'source_level': 399, 'target_conrey_index': 289, 'target_dim': 90, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506417159471503, 'target_is_minimal': True, 'target_label': '399.2.bp.b.289.1', 'target_level': 399, 'twist_class_label': '399.2.bp.b.214.1', 'twist_class_level': 399, 'twisting_char_label': '19.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 39422353
    {'conductor': 133, 'degree': 6, 'order': 9, 'parity': 1, 'source_conrey_index': 100, 'source_dim': 90, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4506485878948239, 'source_is_minimal': True, 'source_label': '399.2.bq.b.100.1', 'source_level': 399, 'target_conrey_index': 4, 'target_dim': 90, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506485878948239, 'target_is_minimal': True, 'target_label': '399.2.bq.b.4.1', 'target_level': 399, 'twist_class_label': '399.2.bp.b.214.1', 'twist_class_level': 399, 'twisting_char_label': '133.4', 'twisting_conrey_index': 4, 'weight': 2}
• hecke_orbit_code 4506485878948239 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': 43, 'hecke_orbit': 2, 'label': '399.2.bq.b', 'level': 399, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25509469
    {'hecke_orbit_code': 4506485878948239, 'n': 1, 'trace_an': 90}
  • id: 25509470
    {'hecke_orbit_code': 4506485878948239, 'n': 2, 'trace_an': 0}
  • id: 25509471
    {'hecke_orbit_code': 4506485878948239, 'n': 3, 'trace_an': 0}
  • id: 25509472
    {'hecke_orbit_code': 4506485878948239, 'n': 4, 'trace_an': 0}
  • id: 25509473
    {'hecke_orbit_code': 4506485878948239, 'n': 5, 'trace_an': 0}
  • id: 25509474
    {'hecke_orbit_code': 4506485878948239, 'n': 6, 'trace_an': 0}
  • id: 25509475
    {'hecke_orbit_code': 4506485878948239, 'n': 7, 'trace_an': 6}
  • id: 25509476
    {'hecke_orbit_code': 4506485878948239, 'n': 8, 'trace_an': 0}
  • id: 25509477
    {'hecke_orbit_code': 4506485878948239, 'n': 9, 'trace_an': 0}
  • id: 25509478
    {'hecke_orbit_code': 4506485878948239, 'n': 10, 'trace_an': -6}
  • id: 25509479
    {'hecke_orbit_code': 4506485878948239, 'n': 11, 'trace_an': 18}
  • id: 25509480
    {'hecke_orbit_code': 4506485878948239, 'n': 12, 'trace_an': 108}
  • id: 25509481
    {'hecke_orbit_code': 4506485878948239, 'n': 13, 'trace_an': -9}
  • id: 25509482
    {'hecke_orbit_code': 4506485878948239, 'n': 14, 'trace_an': -3}
  • id: 25509483
    {'hecke_orbit_code': 4506485878948239, 'n': 15, 'trace_an': 0}
  • id: 25509484
    {'hecke_orbit_code': 4506485878948239, 'n': 16, 'trace_an': 0}
  • id: 25509485
    {'hecke_orbit_code': 4506485878948239, 'n': 17, 'trace_an': -12}
  • id: 25509486
    {'hecke_orbit_code': 4506485878948239, 'n': 18, 'trace_an': 0}
  • id: 25509487
    {'hecke_orbit_code': 4506485878948239, 'n': 19, 'trace_an': -30}
  • id: 25509488
    {'hecke_orbit_code': 4506485878948239, 'n': 20, 'trace_an': -60}
  • id: 25509489
    {'hecke_orbit_code': 4506485878948239, 'n': 21, 'trace_an': -9}
  • id: 25509490
    {'hecke_orbit_code': 4506485878948239, 'n': 22, 'trace_an': 0}
  • id: 25509491
    {'hecke_orbit_code': 4506485878948239, 'n': 23, 'trace_an': 18}
  • id: 25509492
    {'hecke_orbit_code': 4506485878948239, 'n': 24, 'trace_an': 9}
  • id: 25509493
    {'hecke_orbit_code': 4506485878948239, 'n': 25, 'trace_an': 6}
  • id: 25509494
    {'hecke_orbit_code': 4506485878948239, 'n': 26, 'trace_an': 12}
  • id: 25509495
    {'hecke_orbit_code': 4506485878948239, 'n': 27, 'trace_an': -45}
  • id: 25509496
    {'hecke_orbit_code': 4506485878948239, 'n': 28, 'trace_an': -45}
  • id: 25509497
    {'hecke_orbit_code': 4506485878948239, 'n': 29, 'trace_an': -18}
  • id: 25509498
    {'hecke_orbit_code': 4506485878948239, 'n': 30, 'trace_an': -12}
  • id: 25509499
    {'hecke_orbit_code': 4506485878948239, 'n': 31, 'trace_an': -18}
  • id: 25509500
    {'hecke_orbit_code': 4506485878948239, 'n': 32, 'trace_an': -21}
  • id: 25509501
    {'hecke_orbit_code': 4506485878948239, 'n': 33, 'trace_an': -12}
  • id: 25509502
    {'hecke_orbit_code': 4506485878948239, 'n': 34, 'trace_an': 18}
  • id: 25509503
    {'hecke_orbit_code': 4506485878948239, 'n': 35, 'trace_an': -9}
  • id: 25509504
    {'hecke_orbit_code': 4506485878948239, 'n': 36, 'trace_an': 0}
  • id: 25509505
    {'hecke_orbit_code': 4506485878948239, 'n': 37, 'trace_an': -6}
  • id: 25509506
    {'hecke_orbit_code': 4506485878948239, 'n': 38, 'trace_an': 39}
  • id: 25509507
    {'hecke_orbit_code': 4506485878948239, 'n': 39, 'trace_an': -12}
  • id: 25509508
    {'hecke_orbit_code': 4506485878948239, 'n': 40, 'trace_an': 18}
  • id: 25509509
    {'hecke_orbit_code': 4506485878948239, 'n': 41, 'trace_an': 27}
  • id: 25509510
    {'hecke_orbit_code': 4506485878948239, 'n': 42, 'trace_an': -3}
  • id: 25509511
    {'hecke_orbit_code': 4506485878948239, 'n': 43, 'trace_an': -39}
  • id: 25509512
    {'hecke_orbit_code': 4506485878948239, 'n': 44, 'trace_an': -78}
  • id: 25509513
    {'hecke_orbit_code': 4506485878948239, 'n': 45, 'trace_an': 3}
  • id: 25509514
    {'hecke_orbit_code': 4506485878948239, 'n': 46, 'trace_an': 18}
  • id: 25509515
    {'hecke_orbit_code': 4506485878948239, 'n': 47, 'trace_an': 24}
  • id: 25509516
    {'hecke_orbit_code': 4506485878948239, 'n': 48, 'trace_an': 0}
  • id: 25509517
    {'hecke_orbit_code': 4506485878948239, 'n': 49, 'trace_an': -6}
  • id: 25509518
    {'hecke_orbit_code': 4506485878948239, 'n': 50, 'trace_an': -9}
  • id: 25509519
    {'hecke_orbit_code': 4506485878948239, 'n': 51, 'trace_an': 6}
  • id: 25509520
    {'hecke_orbit_code': 4506485878948239, 'n': 52, 'trace_an': -48}
  • id: 25509521
    {'hecke_orbit_code': 4506485878948239, 'n': 53, 'trace_an': 27}
  • id: 25509522
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  • id: 25509523
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  • id: 25509524
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  • id: 25509525
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  • id: 25509526
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  • id: 25509527
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  • id: 25509528
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  • id: 25509529
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  • id: 25509530
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  • id: 25509531
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  • id: 25509532
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  • id: 25509533
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  • id: 25509535
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  • id: 25509536
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  • id: 25509537
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  • id: 25509538
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  • id: 25509539
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  • id: 25509540
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  • id: 25509541
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  • id: 25509542
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  • id: 25509543
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  • id: 25509544
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  • id: 25509545
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  • id: 25509546
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  • id: 25509547
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  • id: 25509548
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  • id: 25509550
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  • id: 25509551
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  • id: 25509553
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  • id: 25509554
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  • id: 25509563
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  • id: 25509565
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  • id: 25509580
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  • id: 25509584
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  • id: 25509587
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  • id: 25509589
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  • id: 25509590
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  • id: 25509592
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  • id: 25509593
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  • id: 25509594
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  • id: 25509596
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  • id: 25509608
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  • id: 25509610
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  • id: 25509611
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  • id: 25509612
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  • id: 25509613
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  • id: 25509614
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  • id: 25509615
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  • id: 25509616
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  • id: 25509617
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  • id: 25509618
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  • id: 25509619
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  • id: 25509620
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  • id: 25509621
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  • id: 25509622
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  • id: 25509623
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  • id: 25509624
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  • id: 25509625
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  • id: 25509626
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  • id: 25509627
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  • id: 25509628
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  • id: 25509629
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  • id: 25509630
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  • id: 25509631
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  • id: 25509632
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  • id: 25509633
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  • id: 25509634
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  • id: 25509635
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  • id: 25509636
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  • id: 25509637
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  • id: 25509638
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  • id: 25509639
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  • id: 25509640
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  • id: 25509641
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  • id: 25509642
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  • id: 25509644
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  • id: 25509645
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  • id: 25509646
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  • id: 25509647
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  • id: 25509648
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  • id: 25509649
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  • id: 25509650
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  • id: 25509651
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  • id: 25509652
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  • id: 25509653
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  • id: 25509654
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  • id: 25509658
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  • id: 25509660
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  • id: 25509661
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  • id: 25509662
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  • id: 25509663
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  • id: 25509664
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  • id: 25509665
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  • id: 25509666
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  • id: 25509667
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  • id: 25509668
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  • id: 25509669
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  • id: 25509670
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  • id: 25509671
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  • id: 25509672
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  • id: 25509673
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  • id: 25509675
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  • id: 25509676
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  • id: 25509680
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  • id: 25509685
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  • id: 25509688
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  • id: 25509711
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  • id: 25509712
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  • id: 25509713
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  • id: 25509716
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  • id: 25509717
    {'hecke_orbit_code': 4506485878948239, 'n': 941, 'trace_an': -63}
  • id: 25509718
    {'hecke_orbit_code': 4506485878948239, 'n': 947, 'trace_an': 24}
  • id: 25509719
    {'hecke_orbit_code': 4506485878948239, 'n': 953, 'trace_an': 54}
  • id: 25509720
    {'hecke_orbit_code': 4506485878948239, 'n': 961, 'trace_an': -39}
  • id: 25509721
    {'hecke_orbit_code': 4506485878948239, 'n': 967, 'trace_an': -159}
  • id: 25509722
    {'hecke_orbit_code': 4506485878948239, 'n': 971, 'trace_an': -330}
  • id: 25509723
    {'hecke_orbit_code': 4506485878948239, 'n': 977, 'trace_an': 186}
  • id: 25509724
    {'hecke_orbit_code': 4506485878948239, 'n': 983, 'trace_an': -249}
  • id: 25509725
    {'hecke_orbit_code': 4506485878948239, 'n': 991, 'trace_an': -222}
  • id: 25509726
    {'hecke_orbit_code': 4506485878948239, 'n': 997, 'trace_an': -27}