Embedded newform data - 880.2.bo.i.401.3

Formats: - HTML - YAML - JSON - 2025-11-14T23:40:40.788486

• 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': 3520, 'analytic_conductor': 7.026835377872674, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 11, 'char_degree': 4, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 41, 'char_orbit_label': 'bo', 'char_order': 5, 'char_parity': 1, 'char_values': [880, 5, [111, 661, 177, 321], [5, 5, 5, 1]], 'cm_discs': [], 'conrey_index': 81, 'dim': 12, 'field_disc': 83874723517578125, 'field_disc_factorization': [[5, 9], [11, 2], [18839, 2]], 'field_poly': [1, -43, 711, -302, 782, -235, 335, -81, 28, 4, 5, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [25, -200, 665, -565, 651, -191, 165, -54, 29, 6, 10, -1, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36031545831588720, 'hecke_ring_generator_nbound': 5, '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': '880.2.bo.i', 'level': 880, '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, 11], 'level_radical': 110, 'minimal_twist': '440.2.y.c', 'prim_orbit_index': 3, 'qexp_display': 'q+(-\\beta _{3}-\\beta _{8})q^{3}-\\beta _{6}q^{5}+(-1-\\beta _{2}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c5', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '880.2.bo', 'trace_display': [0, 1, 3, 1], 'trace_hash': 125949086207173469, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.374', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '448.566', 'prec': 24}, {'__RealLiteral__': 0, 'data': '87.850', 'prec': 20}, {'__RealLiteral__': 0, 'data': '33677.826', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.007', 'prec': 17}, 'traces': [12, 0, 1, 0, 3, 0, 1, 0, -10, 0, -4, 0, 18, 0, -1, 0, 3, 0, -4, 0, -28, 0, 18, 0, -3, 0, -23, 0, 15, 0, 8, 0, 4, 0, -6, 0, 6, 0, 33, 0, 2, 0, 36, 0, -10, 0, 16, 0, -16, 0, 10, 0, 19, 0, -6, 0, 62, 0, -46, 0, 18, 0, 7, 0, 2, 0, 44, 0, -1, 0, 6, 0, 25, 0, -4, 0, 10, 0, -19, 0, 30, 0, 0, 0, -3, 0, -6, 0, -50, 0, 46, 0, -37, 0, 4, 0, -31, 0, -79, 0, 7, 0, -46, 0, 3, 0, 9, 0, -74, 0, -58, 0, 1, 0, 17, 0, -30, 0, -11, 0, -8, 0, 10, 0, 3, 0, 85, 0, 21, 0, 40, 0, -46, 0, -2, 0, 27, 0, 46, 0, 46, 0, -33, 0, 5, 0, -71, 0, -21, 0, 33, 0, -22, 0, 2, 0, 1, 0, 15, 0, -12, 0, -41, 0, -24, 0, 20, 0, -7, 0, 56, 0, 25, 0, -14, 0, -100, 0, -31, 0, -32, 0, 17, 0, 9, 0, -78, 0, 151, 0, -105, 0, 9, 0, 32, 0, -18, 0, 24, 0, -70, 0, -54, 0, -2, 0, -84, 0, 58, 0, -17, 0, -27, 0, 9, 0, 68, 0, -4, 0, -20, 0, 16, 0, -10, 0, 16, 0, -41, 0, -82, 0, 59, 0, -16, 0, -47, 0, 18, 0, -94, 0, 72, 0, 1, 0, -34, 0, 85, 0, -71, 0, 36, 0, 25, 0, -20, 0, 1, 0, 1, 0, -42, 0, 46, 0, -48, 0, 0, 0, 11, 0, -95, 0, 6, 0, 70, 0, -42, 0, 54, 0, 51, 0, 18, 0, 164, 0, -32, 0, 51, 0, -5, 0, -44, 0, 23, 0, 37, 0, 38, 0, 1, 0, 12, 0, 128, 0, -188, 0, 2, 0, 5, 0, -7, 0, -1, 0, -20, 0, 56, 0, -82, 0, 18, 0, 53, 0, -50, 0, -38, 0, -6, 0, 26, 0, -47, 0, 135, 0, -67, 0, -17, 0, 1, 0, 2, 0, 29, 0, -140, 0, -48, 0, 19, 0, 103, 0, 104, 0, -11, 0, -14, 0, 15, 0, 15, 0, 89, 0, 146, 0, -112, 0, -6, 0, 82, 0, -131, 0, 89, 0, -53, 0, -45, 0, -66, 0, 16, 0, 38, 0, 11, 0, 44, 0, 12, 0, 117, 0, -124, 0, -6, 0, 40, 0, -96, 0, 22, 0, -56, 0, -49, 0, 10, 0, 58, 0, 72, 0, -83, 0, 67, 0, 3, 0, -33, 0, 97, 0, 125, 0, 26, 0, 41, 0, 56, 0, -128, 0, 168, 0, -79, 0, -35, 0, -73, 0, 27, 0, 62, 0, 62, 0, -46, 0, -43, 0, 18, 0, -74, 0, 120, 0, -18, 0, -114, 0, 73, 0, -9, 0, 72, 0, 11, 0, -115, 0, -9, 0, 66, 0, -98, 0, 66, 0, 49, 0, -113, 0, 5, 0, -71, 0, -51, 0, 0, 0, 11, 0, 142, 0, -6, 0, -2, 0, 214, 0, 17, 0, 186, 0, 42, 0, -44, 0, -12, 0, 42, 0, -44, 0, -49, 0, 17, 0, -52, 0, 78, 0, -40, 0, -10, 0, -9, 0, -144, 0, 92, 0, -22, 0, 80, 0, -6, 0, 42, 0, -94, 0, -236, 0, -141, 0, 8, 0, -59, 0, 83, 0, -55, 0, 38, 0, -1, 0, 151, 0, 25, 0, -30, 0, 146, 0, 8, 0, 95, 0, 2, 0, 140, 0, -77, 0, -50, 0, -24, 0, 62, 0, 16, 0, 6, 0, -84, 0, 53, 0, -97, 0, 69, 0, 218, 0, -77, 0, 89, 0, -149, 0, -27, 0, 70, 0, 60, 0, -144, 0, -106, 0, -278, 0, 149, 0, -3, 0, -22, 0, -4, 0, -4, 0, 6, 0, 45, 0, 112, 0, -172, 0, 10, 0, -56, 0, -21, 0, -66, 0, -62, 0, 67, 0, -90, 0, -50, 0, 112, 0, -16, 0, 300, 0, 61, 0, -4, 0, -78, 0, 92, 0, 87, 0, 139, 0, 2, 0, 0, 0, -39, 0, 28, 0, -62, 0, -7, 0, -122, 0, -35, 0, -91, 0, 25, 0, 29, 0, -80, 0, 13, 0, -16, 0, -182, 0, 104, 0, -186, 0, 35, 0, 79, 0, 183, 0, 18, 0, 53, 0, -16, 0, -26, 0, -2, 0, -20, 0, 104, 0, 83, 0, -91, 0, 84, 0, -19, 0, -206, 0, 21, 0, -18, 0, 80, 0, -9, 0, 90, 0, -226, 0, 98, 0, -7, 0, -33, 0, -186, 0, -104, 0, -99, 0, -127, 0, 32, 0, -30, 0, 60, 0, -90, 0, 105, 0, 8, 0, -71, 0, 6, 0, -26, 0, 136, 0, -1, 0, -94, 0, 5, 0, 18, 0, 26, 0, 50, 0, 77, 0, 42, 0, -3, 0, 251, 0, -98, 0, 116, 0, -106, 0, 28, 0, -172, 0, -54, 0, -15, 0, -259, 0, -47, 0, 10, 0, -41, 0, -145, 0, -144, 0, -118, 0, 28, 0, -10, 0, -68, 0, -19, 0, -14, 0, -16, 0, -18, 0, -249, 0, -86, 0, -48, 0, 37, 0, 24, 0, 94, 0, -12, 0, -35, 0, -48, 0, -25, 0, 120, 0, 36, 0, 45, 0, -52, 0, -6, 0, 100, 0, -20, 0, 98, 0, -87, 0, -80, 0, 75, 0, -29, 0, 377, 0, -159, 0, 31, 0, 110, 0, 28, 0, 32, 0, -284, 0, -23, 0, 28, 0, 157, 0, -92, 0, -70, 0, -42, 0, -22, 0, -28, 0, -169, 0, 104, 0, 6, 0, 3, 0, 5, 0, -171, 0, -20, 0, -7, 0, -51, 0, -36, 0, 51, 0, 16, 0, 154, 0, 316, 0, 33, 0, 247, 0, -25, 0, -60, 0, -109, 0, 109, 0, -5, 0, 120, 0, -14, 0, -178, 0, -188, 0, -97, 0, 59, 0, -32, 0, -65, 0, 193, 0, -125, 0, 176, 0, 33, 0, 8, 0, 12, 0, -166, 0, 105, 0, 11, 0, -81, 0, 79, 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], [0.7884296925649592, 0.5728277019906349], [0.0, 0.0], [-0.1381966011250105, 0.42532540417601994], [0.0, 0.0], [-0.05931114290094349, 0.0430920677021387], [0.0, 0.0], [-0.015527190424742992, -0.047787778348816735], [0.0, 0.0], [0.9503371822269345, 0.3112221715703596], [0.0, 0.0], [-0.042435781467511764, -0.13060390600972768], [0.0, 0.0], [-0.35259647761090185, 0.25617633620921026], [0.0, 0.0], [-0.37333694061493494, 1.1490129559499604], [0.0, 0.0], [1.3477846388163768, 0.9792228586924426], [0.0, 0.0], [-0.07144699627890821, 0.0], [0.0, 0.0], [0.5031885535431269, 0.0], [0.0, 0.0], [-0.16180339887498948, -0.11755705045849463], [0.0, 0.0], [0.31628541010199696, -0.9734263997196397], [0.0, 0.0], [-0.3164541787098799, 0.22991741899773643], [0.0, 0.0], [0.3644152533993928, 1.1215548260828596], [0.0, 0.0], [0.5709973710670474, 0.7897562652619278], [0.0, 0.0], [-0.01013155275444237, -0.031181713118369876], [0.0, 0.0], [-0.9693736855556376, 0.7042912080854667], [0.0, 0.0], [0.04135590521436909, -0.12728038864324395], [0.0, 0.0], [-0.14007359945364775, -0.10176942705386358], [0.0, 0.0], [0.8327308401312081, 0.0], [0.0, 0.0], [0.022471161082604826, 0.0], [0.0, 0.0], [-0.649411844308272, -0.4718253230803558], [0.0, 0.0], [-0.307356109001577, 0.9459448367243962], [0.0, 0.0], [-0.9525363804264582, 0.6920581898521151], [0.0, 0.0], [-0.28607970948423, -0.880462812199494], [0.0, 0.0], [-0.2637040644181839, 0.3611926998284023], [0.0, 0.0], [0.5017074485442784, 1.544096754862926], [0.0, 0.0], [-0.8146806579388318, 0.5919001447359495], [0.0, 0.0], [0.5192523839063492, -1.5980945135875755], [0.0, 0.0], [0.0029802095900741017, 0.002165249009558258], [0.0, 0.0], [0.061413639875448185, 0.0], [0.0, 0.0], [-0.5491508091716852, 0.0], [0.0, 0.0], [0.39672879657221405, 0.28824034279410093], [0.0, 0.0], [-0.013927923468282165, 0.04286574076536888], [0.0, 0.0], [1.3844661333484098, -1.0058735244607608], [0.0, 0.0], [-0.06023066896403683, -0.18537093830366863], [0.0, 0.0], [-0.06977679130685824, 0.022493051504431233], [0.0, 0.0], [-0.057497483180172386, -0.17695905741262757], [0.0, 0.0], [0.7663237039761489, -0.5567667611572631], [0.0, 0.0], [0.2944267934129661, -0.9061524949903851], [0.0, 0.0], [-0.43711050362550646, -0.31757937032177197], [0.0, 0.0], [-0.3812049376032186, 0.0], [0.0, 0.0], [0.19483956565664337, 0.0], [0.0, 0.0], [0.008144907058667744, 0.0059176213647731705], [0.0, 0.0], [-0.35514186747788573, 1.0930142788983643], [0.0, 0.0], [-0.602747614284684, 0.4379217754315945], [0.0, 0.0], [-0.40397929858131193, -1.24332043660331], [0.0, 0.0], [0.00011654975609046321, -0.050246908543274814], [0.0, 0.0], [-0.030711215526025088, -0.09451940243108846], [0.0, 0.0], [-0.7333368327805305, 0.5328003963678113], [0.0, 0.0], [0.00987373204633639, -0.03038822256948923], [0.0, 0.0], [0.22287857752687829, 0.16193076515461696], [0.0, 0.0], [0.11796155557488183, 0.0], [0.0, 0.0], [-1.167720511142999, 0.0], [0.0, 0.0], [0.73190859884193, 0.5317627236714774], [0.0, 0.0], [-0.0695389478246705, 0.2140188749124773], [0.0, 0.0], [-0.005582362052213725, 0.004055823437656554], [0.0, 0.0], [-0.027370303453416747, -0.0842371323460717], [0.0, 0.0], [0.8062815198460593, 0.5915320031534461], [0.0, 0.0], [-0.052141837921538516, -0.16047607616917942], [0.0, 0.0], [0.0723606797749979, -0.05257311121191336], [0.0, 0.0], [0.46790171064616803, -1.4400533918718503], [0.0, 0.0], [0.6565497202740086, 0.4770112935290908], [0.0, 0.0], [0.9485060133869204, 0.0], [0.0, 0.0], [-0.12213538503479116, 0.0], [0.0, 0.0], [0.37031340823483766, 0.2690484397732202], [0.0, 0.0], [-0.2536734786664393, 0.780726689109678], [0.0, 0.0], [1.0676416714615782, -0.775687078987564], [0.0, 0.0], [-0.24174096519490498, -0.744002188841215], [0.0, 0.0], [0.0003185302584854826, -0.13732470408572023], [0.0, 0.0], [-0.054056827252807506, -0.16636980730789222], [0.0, 0.0], [-0.7841920895588177, 0.5697489031898698], [0.0, 0.0], [-0.15347351213498706, 0.4723429016903161], [0.0, 0.0], [1.148319132872603, 0.8343026857541849], [0.0, 0.0], [0.0607056502283745, 0.0], [0.0, 0.0], [-0.5273867091271636, 0.0], [0.0, 0.0], [-1.2326243524514502, -0.8955540131110475], [0.0, 0.0], [0.2787997520027238, -0.8580574069073263], [0.0, 0.0], [-0.029844688205315453, 0.021683435216221666], [0.0, 0.0], [0.002444598394888533, 0.007523700234953487], [0.0, 0.0], [-0.4148132986558558, 0.13371805605615616], [0.0, 0.0], [-0.2688518660174711, -0.8274409619808177], [0.0, 0.0], [0.7937604096587081, -0.5767006946640086], [0.0, 0.0], [0.0258675761868438, -0.07961221337687578], [0.0, 0.0], [-0.49885337582148465, -0.3624381927733498], [0.0, 0.0], [0.014662520889754047, 0.0], [0.0, 0.0], [-0.9813752203943501, 0.0], [0.0, 0.0], [-1.2866656474789153, -0.9348173122169856], [0.0, 0.0], [0.19802977575901176, -0.6094729807240176], [0.0, 0.0], [1.3248268051891177, -0.9625430162113673], [0.0, 0.0], [-0.1655887941727547, -0.5096299057661887], [0.0, 0.0], [-0.7123942834784462, 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0.006682622604431754, -0.2095225740478135, -0.3813293742977533, 0.050364446617822065, -0.4522385783686077, -0.16379535053870786, -0.18165185289013802, -0.21573093934906437, -0.47340683889340823, -0.43397736631560074, -0.2912281531042895, -0.29426864626070837, -0.4535869961533864, -0.18657972154519567, -0.0648280855402235, -0.37097206059705656, -0.23447052959579964, -0.4366179606328725, -0.05791195250903152, -0.4248636662290422, -0.12800703077259337, -0.2406074666059711, -0.07529389609725141, -0.31331242947602733, -0.17135909859178164, 0.11731458724152075, -0.23531226935642016, -0.48994010461975424, -0.02441518776073153, -0.28784297541032855, -0.04937047000643212, -0.4783721585638471, -0.1998814245617204, -0.2963178982714003, -0.39808816514467543, -0.47995813407652976, -0.3931574288958285, -0.3363463474609587, -0.11801937876855678, -0.09767129070287646, -0.14814588952116167, -0.4337453271761386, -0.3769320875018176, -0.045608490216744985, -0.11982779191510302, -0.4131783850541157, 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• 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': 3520, 'analytic_conductor': 7.026835377872674, 'char_conductor': 11, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 41, 'char_orbit_label': 'bo', 'char_order': 5, 'char_parity': 1, 'char_values': [880, 5, [111, 661, 177, 321], [5, 5, 5, 1]], 'conrey_index': 81, 'cusp_dim': 528, 'dim': 96, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 2748812624752, 'hecke_orbit_dims': [4, 4, 8, 8, 8, 8, 8, 8, 12, 12, 16], 'label': '880.2.bo', 'level': 880, '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, 11], 'level_radical': 110, 'mf_dim': 624, 'mf_new_dim': 96, 'num_forms': 11, 'prim_orbit_index': 3, 'relative_dim': 24, 'sturm_bound': 288, 'trace_bound': 7, 'trace_display': [0, 0, 0, 4], 'traces': [96, 0, 0, 0, 0, 0, 4, 0, -16, 0, 4, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 8, 0, -24, 0, 0, 0, -16, 0, 0, 0, -20, 0, -12, 0, 24, 0, 36, 0, -20, 0, 56, 0, 0, 0, 36, 0, -36, 0, 36, 0, 40, 0, 0, 0, -20, 0, -16, 0, 16, 0, 20, 0, 8, 0, 40, 0, 32, 0, -28, 0, 24, 0, 0, 0, -24, 0, -84, 0, -68, 0, -36, 0, 0, 0, -168, 0, -16, 0, -64, 0, 32, 0, 16, 0, -28, 0, -112, 0, -24, 0, 48, 0, 0, 0, -72, 0, -16, 0, -40, 0, -12, 0, 0, 0, -48, 0, 116, 0, 8, 0, 132, 0, 0, 0, 132, 0, 84, 0, 72, 0, -48, 0, -24, 0, 36, 0, 72, 0, 16, 0, 152, 0, 16, 0, 148, 0, -64, 0, 36, 0, 16, 0, -32, 0, 16, 0, -56, 0, 48, 0, -20, 0, 0, 0, 44, 0, 12, 0, -204, 0, 16, 0, -16, 0, -32, 0, 4, 0, 16, 0, -172, 0, 12, 0, 20, 0, 32, 0, -76, 0, 72, 0, -72, 0, -16, 0, -16, 0, -4, 0, 52, 0, 0, 0, 8, 0, -24, 0, 80, 0, 16, 0, 28, 0, -16, 0, 120, 0, 80, 0, -72, 0, -16, 0, -92, 0, 16, 0, 120, 0, -60, 0, 0, 0, -16, 0, -64, 0, -48, 0, -280, 0, -16, 0, -96, 0, 12, 0, -172, 0, -112, 0, 24, 0, -112, 0, -80, 0, -128, 0, -320, 0, 8, 0, -116, 0, -64, 0, -32, 0, -128, 0, 4, 0, -152, 0, 128, 0, -4, 0, -84, 0, 32, 0, -136, 0, -48, 0, 156, 0, -16, 0, -48, 0, 60, 0, 188, 0, -128, 0, -32, 0, 0, 0, 224, 0, -64, 0, 204, 0, -16, 0, 20, 0, 8, 0, 72, 0, 48, 0, -132, 0, 0, 0, 236, 0, 128, 0, 128, 0, 152, 0, 0, 0, 84, 0, -20, 0, 8, 0, -136, 0, 16, 0, -228, 0, 192, 0, -160, 0, -40, 0, 48, 0, 224, 0, -4, 0, -28, 0, -12, 0, 16, 0, -240, 0, 136, 0, 116, 0, 256, 0, 0, 0, 24, 0, -60, 0, -32, 0, 24, 0, -84, 0, -120, 0, 152, 0, 228, 0, -148, 0, 192, 0, -64, 0, 136, 0, -160, 0, 236, 0, 96, 0, -8, 0, -68, 0, 112, 0, 48, 0, 128, 0, 96, 0, 24, 0, 144, 0, 212, 0, -12, 0, -72, 0, -32, 0, -40, 0, -60, 0, 12, 0, 0, 0, -32, 0, 80, 0, 140, 0, 16, 0, 88, 0, -12, 0, -4, 0, -48, 0, 8, 0, -28, 0, 116, 0, -96, 0, 536, 0, 24, 0, 112, 0, -80, 0, 148, 0, 200, 0, 0, 0, -168, 0, -32, 0, 116, 0, 112, 0, 32, 0, 16, 0, 116, 0, -244, 0, -88, 0, -32, 0, 176, 0, -96, 0, -112, 0, 84, 0, -16, 0, 288, 0, -88, 0, 4, 0, 28, 0, 40, 0, -96, 0, -196, 0, 232, 0, 108, 0, 0, 0, -272, 0, 88, 0, -296, 0, -48, 0, -20, 0, 52, 0, -212, 0, -48, 0, 364, 0, 0, 0, -188, 0, 48, 0, -392, 0, -56, 0, 0, 0, 104, 0, 44, 0, 56, 0, 72, 0, 16, 0, 356, 0, -128, 0, -72, 0, 160, 0, -12, 0, -32, 0, 236, 0, -96, 0, -52, 0, -108, 0, 292, 0, 216, 0, -192, 0, -264, 0, -208, 0, -16, 0, -132, 0, -96, 0, 208, 0, -96, 0, 112, 0, -136, 0, -112, 0, -224, 0, -104, 0, 8, 0, -148, 0, -272, 0, -188, 0, -24, 0, -16, 0, -112, 0, -164, 0, -224, 0, -144, 0, 80, 0, -136, 0, -72, 0, -232, 0, -48, 0, 128, 0, -68, 0, 108, 0, -104, 0, -48, 0, 124, 0, 72, 0, 64, 0, -428, 0, -28, 0, -64, 0, 0, 0, 216, 0, 232, 0, 0, 0, -40, 0, -148, 0, 160, 0, -360, 0, 16, 0, -360, 0, 100, 0, -80, 0, 472, 0, 48, 0, 140, 0, 32, 0, 136, 0, -88, 0, -16, 0, -172, 0, 216, 0, 88, 0, 104, 0, 4, 0, 376, 0, 116, 0, 68, 0, -168, 0, -16, 0, 16, 0, 44, 0, 204, 0, 120, 0, -120, 0, -52, 0, 88, 0, 336, 0, -216, 0, 16, 0, 64, 0, -224, 0, 432, 0, 32, 0, -24, 0, 144, 0, -180, 0, -96, 0, -492, 0, 0, 0, 8, 0, -344, 0, 320, 0, -136, 0, 0, 0, -176, 0, -184, 0, -56, 0, -132, 0, -36, 0, -184, 0, -200, 0, 144, 0, -32, 0, 240, 0, -216, 0, -240, 0, 184, 0, -224, 0, -48, 0, -404, 0, -204, 0, 104, 0, -496, 0, 136, 0, -100, 0, -136, 0, -64, 0, -168, 0, 20, 0, -296, 0, -152, 0, 116, 0, 108, 0, 96, 0, -128, 0, -32, 0, 192, 0, 216, 0, -64, 0, -112, 0, 64, 0, 276, 0, -144, 0, 264, 0, -136, 0, 96, 0, -312, 0, 144, 0, 60, 0, 68, 0, -80, 0, -28, 0, 164, 0, -12, 0, 128, 0, 504, 0, 48, 0, 484, 0, -144, 0, 440, 0, 36, 0, 212, 0, 336, 0, 40, 0, -80, 0, 296, 0, 0, 0, 856, 0, -32, 0, 188, 0, 216, 0, 144, 0, -216, 0, -48, 0, 128, 0, 0, 0, -292, 0, 376, 0, -16, 0, 208, 0, -224, 0, -92, 0, 48, 0, -20, 0, -216, 0, -312, 0, 280, 0, 40, 0, 80, 0, 360, 0, -48, 0, -36, 0, -216, 0, 104, 0, 120, 0, -24, 0, -128, 0, 612, 0, 16, 0, 192, 0, -248, 0, -148, 0, 112, 0, -24, 0, -104, 0, -24, 0, -224, 0, 400, 0, 40, 0, -252, 0, -224, 0, -672, 0, 148, 0, -48, 0, -112, 0, 20, 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: 46765909
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 401, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36031545831588720, 'source_is_minimal': False, 'source_label': '880.2.bo.i.401.3', 'source_level': 880, 'target_conrey_index': 401, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36031545831588720, 'target_is_minimal': False, 'target_label': '880.2.bo.i.401.3', 'target_level': 880, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46765910
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 401, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36031545831588720, 'source_is_minimal': False, 'source_label': '880.2.bo.i.401.3', 'source_level': 880, 'target_conrey_index': 401, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008848555737528, 'target_is_minimal': True, 'target_label': '440.2.y.c.401.1', 'target_level': 440, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46765911
    {'conductor': 11, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 401, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36031545831588720, 'source_is_minimal': False, 'source_label': '880.2.bo.i.401.3', 'source_level': 880, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 360287970223203792, 'target_is_minimal': False, 'target_label': '9680.2.a.dc.1.2', 'target_level': 9680, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '11.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46765912
    {'conductor': 11, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 401, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36031545831588720, 'source_is_minimal': False, 'source_label': '880.2.bo.i.401.3', 'source_level': 880, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 364791569850574288, 'target_is_minimal': False, 'target_label': '9680.2.a.dd.1.2', 'target_level': 9680, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '11.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 46765913
    {'conductor': 11, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 401, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36031545831588720, 'source_is_minimal': False, 'source_label': '880.2.bo.i.401.3', 'source_level': 880, 'target_conrey_index': 801, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36031545831588720, 'target_is_minimal': False, 'target_label': '880.2.bo.i.801.3', 'target_level': 880, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '11.9', 'twisting_conrey_index': 9, 'weight': 2}
  • id: 46765914
    {'conductor': 44, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 401, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36031545831588720, 'source_is_minimal': False, 'source_label': '880.2.bo.i.401.3', 'source_level': 880, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 121597189972562664, 'target_is_minimal': False, 'target_label': '4840.2.a.bb.1.5', 'target_level': 4840, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '44.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46765915
    {'conductor': 44, 'degree': 4, 'order': 10, 'parity': 1, 'source_conrey_index': 401, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36031545831588720, 'source_is_minimal': False, 'source_label': '880.2.bo.i.401.3', 'source_level': 880, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 117093590345192168, 'target_is_minimal': False, 'target_label': '4840.2.a.ba.1.5', 'target_level': 4840, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '44.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 46765916
    {'conductor': 44, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 401, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36031545831588720, 'source_is_minimal': False, 'source_label': '880.2.bo.i.401.3', 'source_level': 880, 'target_conrey_index': 361, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008848555737528, 'target_is_minimal': True, 'target_label': '440.2.y.c.361.1', 'target_level': 440, 'twist_class_label': '440.2.y.c.361.1', 'twist_class_level': 440, 'twisting_char_label': '44.31', 'twisting_conrey_index': 31, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1440975
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 36031545831588720, 'p': 2}
  • id: 1440976
    {'charpoly_factorization': [[[25, -200, 665, -565, 651, -191, 165, -54, 29, 6, 10, -1, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 3}
  • id: 1440977
    {'charpoly_factorization': [[[1, -1, 1, -1, 1], 3]], 'hecke_orbit_code': 36031545831588720, 'p': 5}
  • id: 1440978
    {'charpoly_factorization': [[[4096, 36352, 128320, 68728, 36273, 12227, 5445, 575, 342, -41, 19, -1, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 7}
  • id: 1440979
    {'charpoly_factorization': [[[1771561, 644204, 175692, 3993, 968, -1342, 523, -122, 8, 3, 12, 4, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 11}
  • id: 1440980
    {'charpoly_factorization': [[[6400, -9600, 28160, -62060, 84641, -72792, 44255, -19092, 5849, -1248, 185, -18, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 13}
  • id: 1440981
    {'charpoly_factorization': [[[366025, 1064800, 1377585, 838035, 291801, 57689, 16239, -392, 1089, -104, 46, -3, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 17}
  • id: 1440982
    {'charpoly_factorization': [[[95863681, 75469028, 34673291, 10926076, 3154221, 675494, 123501, 14118, 1544, 70, 42, 4, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 19}
  • id: 1440983
    {'charpoly_factorization': [[[5956, -5228, 425, 452, -48, -9, 1], 2]], 'hecke_orbit_code': 36031545831588720, 'p': 23}
  • id: 1440984
    {'charpoly_factorization': [[[1210000, 2123000, 8524400, 977020, -458519, -176530, 169607, -39685, 8544, -1225, 163, -15, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 29}
  • id: 1440985
    {'charpoly_factorization': [[[12931216, 27466248, 23635792, 3074396, 2928817, 527808, 108041, 1764, 3793, -348, 81, -8, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 31}
  • id: 1440986
    {'charpoly_factorization': [[[3610000, -1919000, 2499100, -1564590, 925571, -357309, 97787, -15547, 1450, 37, 7, -6, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 37}
  • id: 1440987
    {'charpoly_factorization': [[[14250625, 16043750, 10148250, 4350500, 4857050, 290850, 65145, -3170, 2601, 212, 89, -2, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 41}
  • id: 1440988
    {'charpoly_factorization': [[[3751, 2464, -1949, 161, 85, -18, 1], 2]], 'hecke_orbit_code': 36031545831588720, 'p': 43}
  • id: 1440989
    {'charpoly_factorization': [[[86192656, -73436440, 106995216, -22492804, 4214041, -996508, 273037, -2552, 3349, -1360, 241, -16, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 47}
  • id: 1440990
    {'charpoly_factorization': [[[39921638416, 3133326328, 731285556, -66888938, 40046127, -5358785, 1674255, -200179, 33418, -2839, 275, -19, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 53}
  • id: 1440991
    {'charpoly_factorization': [[[138274081, -101515447, 758341461, 680290892, 294857262, 81628135, 16040045, 2328486, 252898, 20336, 1180, 46, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 59}
  • id: 1440992
    {'charpoly_factorization': [[[43824400, 23368600, 15869560, -1448280, -702399, -196596, 874749, -132532, 21964, -2824, 326, -18, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 61}
  • id: 1440993
    {'charpoly_factorization': [[[126475, -91125, -8565, 4065, -104, -22, 1], 2]], 'hecke_orbit_code': 36031545831588720, 'p': 67}
  • id: 1440994
    {'charpoly_factorization': [[[384400, 942400, 3312240, 2438010, 992691, 246899, 251475, -11559, -506, 221, 75, -6, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 71}
  • id: 1440995
    {'charpoly_factorization': [[[692275584961, -159833155100, 30544665765, -2812560733, 286726565, -27865095, 6476079, -744590, 89655, -6412, 470, -25, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 73}
  • id: 1440996
    {'charpoly_factorization': [[[45212176, 87116144, 86779944, 47115806, 18645603, 2048303, 256314, 169, 10057, 2827, 428, 19, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 79}
  • id: 1440997
    {'charpoly_factorization': [[[1890625, -176859375, 6324940625, -837150000, 171861250, -9850625, 1591875, -39750, 18700, -50, 180, 0, 1], 1]], 'hecke_orbit_code': 36031545831588720, 'p': 83}
  • id: 1440998
    {'charpoly_factorization': [[[-22429, 58121, -16681, -4498, -59, 25, 1], 2]], 'hecke_orbit_code': 36031545831588720, 'p': 89}
  • id: 1440999
    {'charpoly_factorization': [[[27124443025, -22125126300, 7394373215, -688542665, -27727224, -6223297, 4966556, 1009239, 148404, 12287, 839, 31, 1], 1]], 'hecke_orbit_code': 36031545831588720, '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': 41, 'hecke_orbit': 9, 'label': '880.2.bo.i', 'level': 880, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 52301479
    {'hecke_orbit_code': 36031545831588720, 'n': 1, 'trace_an': 12}
  • id: 52301480
    {'hecke_orbit_code': 36031545831588720, 'n': 2, 'trace_an': 0}
  • id: 52301481
    {'hecke_orbit_code': 36031545831588720, 'n': 3, 'trace_an': 1}
  • id: 52301482
    {'hecke_orbit_code': 36031545831588720, 'n': 4, 'trace_an': 0}
  • id: 52301483
    {'hecke_orbit_code': 36031545831588720, 'n': 5, 'trace_an': 3}
  • id: 52301484
    {'hecke_orbit_code': 36031545831588720, 'n': 6, 'trace_an': 0}
  • id: 52301485
    {'hecke_orbit_code': 36031545831588720, 'n': 7, 'trace_an': 1}
  • id: 52301486
    {'hecke_orbit_code': 36031545831588720, 'n': 8, 'trace_an': 0}
  • id: 52301487
    {'hecke_orbit_code': 36031545831588720, 'n': 9, 'trace_an': -10}
  • id: 52301488
    {'hecke_orbit_code': 36031545831588720, 'n': 10, 'trace_an': 0}
  • id: 52301489
    {'hecke_orbit_code': 36031545831588720, 'n': 11, 'trace_an': -4}
  • id: 52301490
    {'hecke_orbit_code': 36031545831588720, 'n': 12, 'trace_an': 0}
  • id: 52301491
    {'hecke_orbit_code': 36031545831588720, 'n': 13, 'trace_an': 18}
  • id: 52301492
    {'hecke_orbit_code': 36031545831588720, 'n': 14, 'trace_an': 0}
  • id: 52301493
    {'hecke_orbit_code': 36031545831588720, 'n': 15, 'trace_an': -1}
  • id: 52301494
    {'hecke_orbit_code': 36031545831588720, 'n': 16, 'trace_an': 0}
  • id: 52301495
    {'hecke_orbit_code': 36031545831588720, 'n': 17, 'trace_an': 3}
  • id: 52301496
    {'hecke_orbit_code': 36031545831588720, 'n': 18, 'trace_an': 0}
  • id: 52301497
    {'hecke_orbit_code': 36031545831588720, 'n': 19, 'trace_an': -4}
  • id: 52301498
    {'hecke_orbit_code': 36031545831588720, 'n': 20, 'trace_an': 0}
  • id: 52301499
    {'hecke_orbit_code': 36031545831588720, 'n': 21, 'trace_an': -28}
  • id: 52301500
    {'hecke_orbit_code': 36031545831588720, 'n': 22, 'trace_an': 0}
  • id: 52301501
    {'hecke_orbit_code': 36031545831588720, 'n': 23, 'trace_an': 18}
  • id: 52301502
    {'hecke_orbit_code': 36031545831588720, 'n': 24, 'trace_an': 0}
  • id: 52301503
    {'hecke_orbit_code': 36031545831588720, 'n': 25, 'trace_an': -3}
  • id: 52301504
    {'hecke_orbit_code': 36031545831588720, 'n': 26, 'trace_an': 0}
  • id: 52301505
    {'hecke_orbit_code': 36031545831588720, 'n': 27, 'trace_an': -23}
  • id: 52301506
    {'hecke_orbit_code': 36031545831588720, 'n': 28, 'trace_an': 0}
  • id: 52301507
    {'hecke_orbit_code': 36031545831588720, 'n': 29, 'trace_an': 15}
  • id: 52301508
    {'hecke_orbit_code': 36031545831588720, 'n': 30, 'trace_an': 0}
  • id: 52301509
    {'hecke_orbit_code': 36031545831588720, 'n': 31, 'trace_an': 8}
  • id: 52301510
    {'hecke_orbit_code': 36031545831588720, 'n': 32, 'trace_an': 0}
  • id: 52301511
    {'hecke_orbit_code': 36031545831588720, 'n': 33, 'trace_an': 4}
  • id: 52301512
    {'hecke_orbit_code': 36031545831588720, 'n': 34, 'trace_an': 0}
  • id: 52301513
    {'hecke_orbit_code': 36031545831588720, 'n': 35, 'trace_an': -6}
  • id: 52301514
    {'hecke_orbit_code': 36031545831588720, 'n': 36, 'trace_an': 0}
  • id: 52301515
    {'hecke_orbit_code': 36031545831588720, 'n': 37, 'trace_an': 6}
  • id: 52301516
    {'hecke_orbit_code': 36031545831588720, 'n': 38, 'trace_an': 0}
  • id: 52301517
    {'hecke_orbit_code': 36031545831588720, 'n': 39, 'trace_an': 33}
  • id: 52301518
    {'hecke_orbit_code': 36031545831588720, 'n': 40, 'trace_an': 0}
  • id: 52301519
    {'hecke_orbit_code': 36031545831588720, 'n': 41, 'trace_an': 2}
  • id: 52301520
    {'hecke_orbit_code': 36031545831588720, 'n': 42, 'trace_an': 0}
  • id: 52301521
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  • id: 52301522
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  • id: 52301523
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  • id: 52301524
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  • id: 52301525
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  • id: 52301526
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  • id: 52301527
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  • id: 52301528
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  • id: 52301529
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  • id: 52301530
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  • id: 52301531
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  • id: 52301532
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  • id: 52301533
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  • id: 52301534
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  • id: 52301535
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  • id: 52301536
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  • id: 52301537
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  • id: 52301538
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  • id: 52301539
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  • id: 52301540
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  • id: 52301541
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  • id: 52301542
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  • id: 52301543
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  • id: 52301544
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  • id: 52301545
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  • id: 52301546
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  • id: 52301547
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  • id: 52301548
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  • id: 52301549
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  • id: 52301550
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  • id: 52301551
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  • id: 52301552
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  • id: 52301553
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  • id: 52301554
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  • id: 52301555
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  • id: 52301556
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  • id: 52301557
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  • id: 52301558
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  • id: 52301559
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  • id: 52301560
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  • id: 52301561
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  • id: 52301562
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  • id: 52301563
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  • id: 52301564
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  • id: 52301565
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  • id: 52301566
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  • id: 52301567
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  • id: 52301568
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  • id: 52301569
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  • id: 52301570
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  • id: 52301571
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  • id: 52301572
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  • id: 52301573
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  • id: 52301574
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  • id: 52301575
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  • id: 52301576
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  • id: 52301577
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  • id: 52301578
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  • id: 52301579
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  • id: 52301580
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  • id: 52301581
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  • id: 52301582
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  • id: 52301583
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  • id: 52301584
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  • id: 52301585
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  • id: 52301586
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  • id: 52301587
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  • id: 52301588
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  • id: 52301589
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  • id: 52301590
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  • id: 52301591
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  • id: 52301592
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  • id: 52301593
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  • id: 52301594
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  • id: 52301595
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  • id: 52301596
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  • id: 52301597
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  • id: 52301598
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  • id: 52301599
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  • id: 52301600
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  • id: 52301601
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  • id: 52301602
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  • id: 52301603
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  • id: 52301604
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  • id: 52301605
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  • id: 52301606
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  • id: 52301607
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  • id: 52301608
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  • id: 52301609
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  • id: 52301610
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  • id: 52301611
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  • id: 52301612
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  • id: 52301613
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  • id: 52301614
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  • id: 52301615
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  • id: 52301616
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  • id: 52301617
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  • id: 52301618
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  • id: 52301619
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  • id: 52301620
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  • id: 52301621
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  • id: 52301622
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  • id: 52301623
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  • id: 52301624
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  • id: 52301625
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  • id: 52301626
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  • id: 52301627
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  • id: 52301628
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  • id: 52301629
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  • id: 52301630
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  • id: 52301631
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  • id: 52301632
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  • id: 52301633
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  • id: 52301634
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  • id: 52301635
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  • id: 52301636
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  • id: 52301637
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  • id: 52301638
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  • id: 52301639
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  • id: 52301640
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  • id: 52301641
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  • id: 52301642
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  • id: 52301643
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  • id: 52301644
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  • id: 52301645
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  • id: 52301646
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  • id: 52301647
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  • id: 52301648
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  • id: 52301649
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  • id: 52301650
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  • id: 52301651
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  • id: 52301652
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  • id: 52301653
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  • id: 52301654
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  • id: 52301655
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  • id: 52301656
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  • id: 52301657
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  • id: 52301658
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  • id: 52301659
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  • id: 52301660
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  • id: 52301661
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  • id: 52301662
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  • id: 52301663
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  • id: 52301664
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  • id: 52301665
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  • id: 52301666
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  • id: 52301667
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  • id: 52301668
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  • id: 52301669
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  • id: 52301670
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  • id: 52301671
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  • id: 52301672
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  • id: 52301673
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  • id: 52301674
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  • id: 52301675
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  • id: 52301676
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  • id: 52301677
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  • id: 52301678
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  • id: 52301679
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  • id: 52301680
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  • id: 52301681
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  • id: 52301682
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  • id: 52301683
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  • id: 52301684
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  • id: 52301685
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  • id: 52301686
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  • id: 52301687
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  • id: 52301688
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  • id: 52301689
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  • id: 52301690
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  • id: 52301691
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  • id: 52301692
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  • id: 52301693
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  • id: 52301694
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  • id: 52301695
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  • id: 52301696
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  • id: 52301697
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  • id: 52301698
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  • id: 52301699
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  • id: 52301700
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  • id: 52301701
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  • id: 52301702
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  • id: 52301703
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  • id: 52301704
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  • id: 52301705
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  • id: 52301706
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  • id: 52301707
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  • id: 52301708
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  • id: 52301709
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  • id: 52301710
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  • id: 52301711
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  • id: 52301712
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  • id: 52301713
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  • id: 52301714
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  • id: 52301715
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  • id: 52301716
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  • id: 52301717
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  • id: 52301718
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  • id: 52301719
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  • id: 52301720
    {'hecke_orbit_code': 36031545831588720, 'n': 883, 'trace_an': -87}
  • id: 52301721
    {'hecke_orbit_code': 36031545831588720, 'n': 887, 'trace_an': 75}
  • id: 52301722
    {'hecke_orbit_code': 36031545831588720, 'n': 907, 'trace_an': 28}
  • id: 52301723
    {'hecke_orbit_code': 36031545831588720, 'n': 911, 'trace_an': -92}
  • id: 52301724
    {'hecke_orbit_code': 36031545831588720, 'n': 919, 'trace_an': -28}
  • id: 52301725
    {'hecke_orbit_code': 36031545831588720, 'n': 929, 'trace_an': 5}
  • id: 52301726
    {'hecke_orbit_code': 36031545831588720, 'n': 937, 'trace_an': -51}
  • id: 52301727
    {'hecke_orbit_code': 36031545831588720, 'n': 941, 'trace_an': 51}
  • id: 52301728
    {'hecke_orbit_code': 36031545831588720, 'n': 947, 'trace_an': 316}
  • id: 52301729
    {'hecke_orbit_code': 36031545831588720, 'n': 953, 'trace_an': -25}
  • id: 52301730
    {'hecke_orbit_code': 36031545831588720, 'n': 961, 'trace_an': -5}
  • id: 52301731
    {'hecke_orbit_code': 36031545831588720, 'n': 967, 'trace_an': -178}
  • id: 52301732
    {'hecke_orbit_code': 36031545831588720, 'n': 971, 'trace_an': -97}
  • id: 52301733
    {'hecke_orbit_code': 36031545831588720, 'n': 977, 'trace_an': -65}
  • id: 52301734
    {'hecke_orbit_code': 36031545831588720, 'n': 983, 'trace_an': 176}
  • id: 52301735
    {'hecke_orbit_code': 36031545831588720, 'n': 991, 'trace_an': -166}
  • id: 52301736
    {'hecke_orbit_code': 36031545831588720, 'n': 997, 'trace_an': -81}