Embedded newform data - 675.3.d.k.674.2

Formats: - HTML - YAML - JSON - 2025-10-17T02:16:15.367426

• 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': 6075, 'analytic_conductor': 18.39241784432004, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 15, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [675, 2, [326, 352], [1, 1]], 'cm_discs': [], 'conrey_index': 674, 'dim': 6, 'field_disc': -60217600, 'field_disc_factorization': [[-1, 1], [2, 8], [5, 2], [97, 2]], 'field_poly': [4, 0, 64, 0, 16, 0, 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': [[2, [9, -5, -3, 1]], [7, [202500, 0, 10800, 0, 184, 0, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45036202482467491, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 50, 'hecke_ring_index_factorization': [[2, 1], [5, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 15, 4, -1, 2, 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': True, 'label': '675.3.d.k', 'level': 675, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '675.3.c.r', 'nf_label': '6.0.60217600.1', 'prim_orbit_index': 4, 'qexp_display': 'q+(1-\\beta _{2})q^{2}+(2-2\\beta _{2}-\\beta _{4})q^{4}+(-\\beta _{3}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '2.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '675.3.d', 'trace_display': [6, 0, 0, 0], 'trace_hash': 1934925605042129911, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.119', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '134.182', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5199.167', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.507', 'prec': 17}, 'traces': [6, 6, 0, 14, 0, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, 46, 84, 0, 16, 0, 0, 0, 102, 0, 0, 0, 0, 0, 0, 0, -56, 174, 0, 80, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 234, 138, 0, -74, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, -46, -36, 0, 342, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, -156, 492, 0, -316, 0, 0, 0, 324, 0, 0, 0, 0, 0, 0, 0, 44, 210, 0, -526, 0, 0, 0, -318, 0, 0, 0, 0, 0, 0, 0, -764, 102, 0, 312, 0, 0, 0, 456, 0, 0, 0, 0, 0, 0, 0, -272, 114, 0, -664, 0, 0, 0, -390, 0, 0, 0, 0, 0, 0, 0, 1308, 24, 0, 24, 0, 0, 0, 414, 0, 0, 0, 0, 0, 0, 0, -568, -708, 0, 1428, 0, 0, 0, -852, 0, 0, 0, 0, 0, 0, 0, -168, -354, 0, -888, 0, 0, 0, -348, 0, 0, 0, 0, 0, 0, 0, 402, -1704, 0, 234, 0, 0, 0, -1242, 0, 0, 0, 0, 0, 0, 0, -650, 744, 0, 52, 0, 0, 0, -372, 0, 0, 0, 0, 0, 0, 0, 492, -1884, 0, -630, 0, 0, 0, -1140, 0, 0, 0, 0, 0, 0, 0, 1732, -138, 0, 302, 0, 0, 0, 552, 0, 0, 0, 0, 0, 0, 0, -874, -1656, 0, 1446, 0, 0, 0, -2052, 0, 0, 0, 0, 0, 0, 0, -1122, 828, 0, 520, 0, 0, 0, -366, 0, 0, 0, 0, 0, 0, 0, 404, 1092, 0, -960, 0, 0, 0, -588, 0, 0, 0, 0, 0, 0, 0, 1726, 12, 0, 170, 0, 0, 0, 1560, 0, 0, 0, 0, 0, 0, 0, 776, -1668, 0, 216, 0, 0, 0, 2184, 0, 0, 0, 0, 0, 0, 0, -800, 396, 0, 568, 0, 0, 0, -756, 0, 0, 0, 0, 0, 0, 0, 100, 684, 0, 798, 0, 0, 0, -804, 0, 0, 0, 0, 0, 0, 0, -1836, 1512, 0, -896, 0, 0, 0, 1380, 0, 0, 0, 0, 0, 0, 0, -630, 666, 0, -4112, 0, 0, 0, 1518, 0, 0, 0, 0, 0, 0, 0, -1734, 876, 0, -1400, 0, 0, 0, 714, 0, 0, 0, 0, 0, 0, 0, 684, -1218, 0, 1920, 0, 0, 0, -1896, 0, 0, 0, 0, 0, 0, 0, -48, -1230, 0, 2082, 0, 0, 0, 2712, 0, 0, 0, 0, 0, 0, 0, 302, 3516, 0, -3000, 0, 0, 0, -1194, 0, 0, 0, 0, 0, 0, 0, -904, 1572, 0, 1204, 0, 0, 0, -1038, 0, 0, 0, 0, 0, 0, 0, -2128, 1440, 0, 1402, 0, 0, 0, 2250, 0, 0, 0, 0, 0, 0, 0, 3036, -378, 0, 364, 0, 0, 0, 456, 0, 0, 0, 0, 0, 0, 0, 4090, 1182, 0, -1752, 0, 0, 0, 3858, 0, 0, 0, 0, 0, 0, 0, -1376, 2352, 0, 784, 0, 0, 0, -948, 0, 0, 0, 0, 0, 0, 0, 188, -858, 0, -384, 0, 0, 0, 4380, 0, 0, 0, 0, 0, 0, 0, -3226, -2484, 0, -168, 0, 0, 0, 2004, 0, 0, 0, 0, 0, 0, 0, -1694, 804, 0, 2392, 0, 0, 0, -2028, 0, 0, 0, 0, 0, 0, 0, 1244, 2676, 0, -3408, 0, 0, 0, -174, 0, 0, 0, 0, 0, 0, 0, 1428, 6978, 0, 3108, 0, 0, 0, 270, 0, 0, 0, 0, 0, 0, 0, 1296, -1812, 0, 2164, 0, 0, 0, 1212, 0, 0, 0, 0, 0, 0, 0, -498, -2316, 0, -1092, 0, 0, 0, 1344, 0, 0, 0, 0, 0, 0, 0, 3744, -1356, 0, 636, 0, 0, 0, -4788, 0, 0, 0, 0, 0, 0, 0, -928, -792, 0, -2552, 0, 0, 0, 612, 0, 0, 0, 0, 0, 0, 0, 640, -1950, 0, -2278, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 758, 264, 0, 3528, 0, 0, 0, -894, 0, 0, 0, 0, 0, 0, 0, -5088, 540, 0, 4576, 0, 0, 0, -4050, 0, 0, 0, 0, 0, 0, 0, 2336, -4200, 0, 1940, 0, 0, 0, -1872, 0, 0, 0, 0, 0, 0, 0, 4428, -864, 0, -986, 0, 0, 0, 828, 0, 0, 0, 0, 0, 0, 0, -3628, -1410, 0, -1058, 0, 0, 0, -7092, 0, 0, 0, 0, 0, 0, 0, 4410, -2316, 0, -2972, 0, 0, 0, -5010, 0, 0, 0, 0, 0, 0, 0, 92, -6054, 0, 484, 0, 0, 0, 1092, 0, 0, 0, 0, 0, 0, 0, 1302, -6846, 0, 924, 0, 0, 0, -960, 0, 0, 0, 0, 0, 0, 0, -3838, 3228, 0, -2986, 0, 0, 0, 6072, 0, 0, 0, 0, 0, 0, 0, -8460, 2988, 0, 560, 0, 0, 0, -4272, 0, 0, 0, 0, 0, 0, 0, -3212, 1356, 0, -6170, 0, 0, 0, 2370, 0, 0, 0, 0, 0, 0, 0, -1392, -6822, 0, -4666, 0, 0, 0, -1248, 0, 0, 0, 0, 0, 0, 0, 3958, 186, 0, 5092, 0, 0, 0, -8712, 0, 0, 0, 0, 0, 0, 0, -1386, -840, 0, -320, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, 5288, 1644, 0, 1584, 0, 0, 0, -4092, 0, 0, 0, 0, 0, 0, 0, -4086, -3654, 0, -2900, 0, 0, 0, 648, 0, 0, 0, 0, 0, 0, 0, -392, -2052, 0, 492, 0, 0, 0, 7758, 0, 0, 0, 0, 0, 0, 0, 3466, -36, 0, -92, 0, 0, 0, -3966, 0, 0, 0, 0, 0, 0, 0, -484, 2172, 0, -38, 0, 0, 0, 5976, 0, 0, 0, 0, 0, 0, 0, 304, 2028, 0, 3396, 0, 0, 0, -6012, 0, 0, 0, 0, 0, 0, 0, -1270, 9210, 0, -1770, 0, 0, 0, -1104, 0, 0, 0, 0, 0, 0, 0, 3714, -2724, 0, 4572, 0, 0, 0, 1350, 0, 0, 0, 0, 0, 0, 0, -5364, -1404, 0, 1668, 0, 0, 0, -792, 0, 0], 'weight': 3, '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], [-0.9729976011140301, 0.0], [0.0, 0.0], [-0.05327566822634271, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.9159686086962056], [1.0248346984960086, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.24975614675090835], [0.0, 0.0], [0.0, -1.561604165165167], [0.0, -0.8912352589571638], [0.0, 0.0], [-0.9438860349486939, 0.0], [1.2406275289661288, 0.0], [0.0, 0.0], [-0.7190287436016347, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.2430121316521175], [-0.08150646962332304, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.5194371065953853], [0.0, 0.0], [0.0, -0.04879883970264377], [0.0, 0.2407813240303555], [0.0, 0.0], [-0.8664588295612622, 0.0], [-0.10643585076589572, 0.0], [0.0, 0.0], [-1.2071276095600703, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.5186467036059704], [0.6996132426564255, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.6392016984522095], [0.0, 0.0], [0.0, -1.5584532222132041], [0.0, -0.013305925611791154], [0.0, 0.0], [0.07930559941876689, 0.0], [1.5039268779136359, 0.0], [0.0, 0.0], [0.16100150788313738, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.08319550540421432], [1.5323747487757193, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.9387164129249843], [0.0, 0.0], [0.0, -0.23427965067459589], [0.0, -1.8026424136197028], [0.0, 0.0], [0.22059436852956282, 0.0], [0.8430623626271784, 0.0], [0.0, 0.0], [1.0474478624164414, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.9414776405924573], [-0.06609526062566685, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.453041892537205], [0.0, 0.0], [0.0, 1.6964885087270454], [0.0, -0.5046419984343086], [0.0, 0.0], [0.038306736789324725, 0.0], [-0.22876879025275487, 0.0], [0.0, 0.0], [0.24160525246167444, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.5949393203360438], [1.4393003856710056, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.5163712466618782], [0.0, 0.0], [0.0, 0.25595876535299206], [0.0, 1.717347478336211], [0.0, 0.0], [1.4303803945005378, 0.0], [0.004342311633952638, 0.0], [0.0, 0.0], [-1.4633172444608806, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.16946899934392307], [-0.1566540809460343, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.065496998509526], [0.0, 0.0], [0.0, 0.27819415085924154], [0.0, -1.600386133777155], [0.0, 0.0], [-1.4909969545664894, 0.0], [0.7258618846618804, 0.0], [0.0, 0.0], [1.8884567713535347, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.8645699781997332], [-0.7834379542819794, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.012827785934140738], [0.0, 0.0], [0.0, 1.753966744118376], [0.0, 1.1363758716173165], [0.0, 0.0], [0.9376218671601387, 0.0], [-0.21463779139852893, 0.0], [0.0, 0.0], [0.04616117313549103, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.40903709256529497], [-0.9127284066573205, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.7499385713189312], [0.0, 0.0], [0.0, -0.6586077578893701], [0.0, -0.9160554857989579], [0.0, 0.0], [1.2714381395938508, 0.0], [0.5922957320016167, 0.0], [0.0, 0.0], [0.8693807595102359, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.4408086746428607], [0.3900202390418212, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.6506792493089335], [0.0, 0.0], [0.0, -0.02763124970799798], [0.0, 0.7569981903587879], [0.0, 0.0], [0.41471571751304803, 0.0], [-0.7368856056589451, 0.0], [0.0, 0.0], [0.22259148412568922, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.1585729323648526], [-0.23508133106175885, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.07465736758061475], [0.0, 0.0], [0.0, 1.103169840654839], [0.0, -0.08732956584279739], [0.0, 0.0], [-1.400435822540387, 0.0], [-1.3103902755531474, 0.0], [0.0, 0.0], [-1.4386075686611983, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.08302763681290541], [0.30115088170532994, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.23574133906077901], [0.0, 0.0], [0.0, -1.670974976700362], [0.0, 0.950445074069615], [0.0, 0.0], [-0.13551738309302935, 0.0], [-1.3917566925295632, 0.0], [0.0, 0.0], [-0.08353065822189235, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.3098543511876813], [-0.08012270938440627, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.209843434321669], [0.0, 0.0], [0.0, -1.5035491240918386], [0.0, -0.1648929298248323], [0.0, 0.0], 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[-1.081750215289889, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.6356989447428658], [0.19974290288487745, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.009567342975103007], [0.0, 0.0], [0.0, -0.7659238544233548], [0.0, 0.5683529024144763], [0.0, 0.0], [0.942024353998189, 0.0], [-0.42584686057618876, 0.0], [0.0, 0.0], [0.056377832362076816, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.8588321971458108], [-1.4463871256774146, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.04227306179269665], [0.0, 0.0], [0.0, 0.2295530120406315], [0.0, -0.19660147916093695], [0.0, 0.0], [0.7438884457172027, 0.0], [0.739508988704095, 0.0], [0.0, 0.0], [0.7880274388505321, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.333427644071692], [1.591789468057739, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.6924239613311103], [0.0, 0.0], [0.0, 0.04228218553270038], [0.0, 0.06034239688960823], [0.0, 0.0], [1.4702154049590554, 0.0], [1.9353560258928455, 0.0], [0.0, 0.0], [-0.05702300551065048, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.38563609714619573], [-1.5055212890050382, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.1337493168936073], [0.0, 0.0], [0.0, 0.8399878526992246], [0.0, 0.10321463429071862], [0.0, 0.0], [0.32472611853213107, 0.0], [-0.5275044226597585, 0.0], [0.0, 0.0], [0.3746651365821743, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.05715475940037934], [-1.0813666534949706, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.8360305687634103], [0.0, 0.0], [0.0, 0.684657005831484], [0.0, -0.20862710419955283], [0.0, 0.0], [1.901106298023713, 0.0], [0.398345898948643, 0.0], [0.0, 0.0], [-0.8028943996669021, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.9067329687491723], [0.0023845887487126457, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.06072302609689252], [0.0, 0.0], [0.0, 0.3594741183422867], [0.0, 0.6700024400501158], [0.0, 0.0], [0.03261870384191333, 0.0], [0.6869201897786215, 0.0], [0.0, 0.0], [0.05667545408915789, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.7259466440416636], [-0.7074721063804094, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.6696928084605208], [0.0, 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[-0.20821594384338002, 0.0], [-0.5362259002767653, 0.0], [0.0, 0.0], [-0.4289180888216411, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.3291949682513364], [-0.16379315990907176, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.2906537841034717], [0.0, 0.0], [0.0, -0.05981995972409523], [0.0, 0.12702402021569045], [0.0, 0.0], [-0.3482849721531437, 0.0], [0.09222228267797518, 0.0], [0.0, 0.0], [-0.4037669084138395, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.3159017330586014], [-1.0183241037161288, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [-0.33086310136144736, None, None, 0.0757142073408454, 0.01992698536037694, -0.357405355276888, -0.143502636555529, -0.308528819264129, -0.2564878754852698, 0.019207359228234647, -0.32131300610663244, 0.04174976675641167, 0.1529023810253615, -0.3578060580934897, -0.11455348759160468, -0.11107571647569821, -0.32129921916333093, -0.23240986884064851, 0.0780062934741873, -0.46363241276738926, 0.1611700423552867, -0.23072659258330344, -0.12215109094661662, 0.16435554154258747, 0.013502104837752058, 0.08942041288054536, 0.022210003537111406, -0.19088804247391244, -0.05340490422086021, -0.31405972650182273, -0.4672185648217514, -0.4388266263432025, -0.20214894109534623, -0.17842890583340762, 0.06177984473405492, -0.21675677557386128, 0.09833436696598885, 0.09298837002984228, -0.3637067999728787, -0.22594367872104656, 0.07881622327646663, -0.2607923998823096, -0.39660219746702213, -0.3645990815904344, -0.2162363687969081, -0.23483329863793886, -0.33873785828191105, -0.40989082636639285, -0.2535621399678552, -0.2995173367285274, -0.3298352274170364, 0.1922312680360627, -0.4184493948475622, -0.35654416837512953, -0.13061114039194416, -0.1980415654540549, -0.4587068130004888, -0.20627758276459857, 0.07277170007121034, 0.08114581163990527, -0.4523430982504505, -0.1067353055881225, -0.4311107805145433, -0.415735517401784, 0.030468801439908245, -0.15868595778719205, -0.25986499703148125, -0.44559810674717426, -0.15010641947198303, -0.2410764937297476, 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0.053669502488583286, 0.002146912551686378, -0.29320001998680234, -0.2630488598962178, -0.2778576665800075, -0.38571171989080133], 'char_orbit_index': 4, 'conrey_index': 674, 'dual_conrey_index': 674, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 2.9459952022280604, 'embedding_root_real': 0.0, 'hecke_orbit': 11, 'hecke_orbit_code': 45036202482467491, 'label': '675.3.d.k.674.2', 'level': 675, 'weight': 3}
• 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': 6075, 'analytic_conductor': 18.39241784432004, 'char_conductor': 15, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [675, 2, [326, 352], [1, 1]], 'conrey_index': 674, 'cusp_dim': 162, 'dim': 48, 'eis_dim': 36, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7], 'hecke_orbit_code': 206208762531, 'hecke_orbit_dims': [2, 2, 2, 2, 4, 4, 4, 4, 4, 6, 6, 8], 'label': '675.3.d', 'level': 675, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 198, 'mf_new_dim': 48, 'num_forms': 12, 'prim_orbit_index': 4, 'relative_dim': 48, 'sturm_bound': 270, 'trace_bound': 19, 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 50, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 134, 0, 0, 196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, -586, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -518, 0, 0, 672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1068, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -230, 0, 0, -812, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1624, 0, 0, -690, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2592, 0, 0, 744, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1334, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 708, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 420, 0, 0, -756, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4408, 0, 0, -220, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1464, 0, 0, -2784, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2824, 0, 0, 178, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -644, 0, 0, 960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1308, 0, 0, 2534, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3676, 0, 0, -2604, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2396, 0, 0, 592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1528, 0, 0, 4116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 260, 0, 0, 1952, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1576, 0, 0, 5640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -720, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -450, 0, 0, -7696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1044, 0, 0, -6592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3960, 0, 0, -4968, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3144, 0, 0, 2904, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 220, 0, 0, -5436, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3692, 0, 0, 1058, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 3872, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9144, 0, 0, 4958, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7436, 0, 0, -7140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4960, 0, 0, -2242, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -530, 0, 0, 8508, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1196, 0, 0, 5244, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1682, 0, 0, 14324, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11848, 0, 0, -10902, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5682, 0, 0, 4080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11028, 0, 0, 368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1038, 0, 0, 2916, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4572, 0, 0, -3366, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6668, 0, 0, -568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5468, 0, 0, -6308, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3892, 0, 0, -8460, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8736, 0, 0, 9782, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8152, 0, 0, 1012, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3240, 0, 0, 3326, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2554, 0, 0, -3040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9288, 0, 0, 5000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9884, 0, 0, -6016, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8448, 0, 0, -4044, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3436, 0, 0, -10448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9516, 0, 0, 1432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6554, 0, 0, -11308, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1392, 0, 0, -7556, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -328, 0, 0, 9548, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -15840, 0, 0, 8576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2984, 0, 0, 19908, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1848, 0, 0, -14032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12400, 0, 0, -19584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26144, 0, 0, -6286, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10252, 0, 0, 4772, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11624, 0, 0, 3912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6602, 0, 0, 10032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12360, 0, 0, 15600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -510, 0, 0, 24312, 0, 0, 0, 0, 0, 0], 'weight': 3, '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: 47178384
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 674, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036202482467491, 'source_is_minimal': False, 'source_label': '675.3.d.k.674.2', 'source_level': 675, 'target_conrey_index': 674, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45036202482467491, 'target_is_minimal': False, 'target_label': '675.3.d.k.674.2', 'target_level': 675, 'twist_class_label': '675.3.c.r.26.2', 'twist_class_level': 675, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 47178385
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 674, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036202482467491, 'source_is_minimal': False, 'source_label': '675.3.d.k.674.2', 'source_level': 675, 'target_conrey_index': 674, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 40532602855096995, 'target_is_minimal': False, 'target_label': '675.3.d.j.674.6', 'target_level': 675, 'twist_class_label': '675.3.c.r.26.2', 'twist_class_level': 675, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 47178386
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 674, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036202482467491, 'source_is_minimal': False, 'source_label': '675.3.d.k.674.2', 'source_level': 675, 'target_conrey_index': 26, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 76561331154584227, 'target_is_minimal': True, 'target_label': '675.3.c.r.26.2', 'target_level': 675, 'twist_class_label': '675.3.c.r.26.2', 'twist_class_level': 675, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 47178387
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 674, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036202482467491, 'source_is_minimal': False, 'source_label': '675.3.d.k.674.2', 'source_level': 675, 'target_conrey_index': 26, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 81064930781954723, 'target_is_minimal': True, 'target_label': '675.3.c.s.26.5', 'target_level': 675, 'twist_class_label': '675.3.c.r.26.2', 'twist_class_level': 675, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 47178388
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 674, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036202482467491, 'source_is_minimal': False, 'source_label': '675.3.d.k.674.2', 'source_level': 675, 'target_conrey_index': 674, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 40532602855096995, 'target_is_minimal': False, 'target_label': '675.3.d.j.674.5', 'target_level': 675, 'twist_class_label': '675.3.c.r.26.2', 'twist_class_level': 675, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 3}
  • id: 47178389
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 674, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036202482467491, 'source_is_minimal': False, 'source_label': '675.3.d.k.674.2', 'source_level': 675, 'target_conrey_index': 26, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 76561331154584227, 'target_is_minimal': True, 'target_label': '675.3.c.r.26.5', 'target_level': 675, 'twist_class_label': '675.3.c.r.26.2', 'twist_class_level': 675, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 47178390
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 674, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036202482467491, 'source_is_minimal': False, 'source_label': '675.3.d.k.674.2', 'source_level': 675, 'target_conrey_index': 26, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 81064930781954723, 'target_is_minimal': True, 'target_label': '675.3.c.s.26.2', 'target_level': 675, 'twist_class_label': '675.3.c.r.26.2', 'twist_class_level': 675, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 3}
  • id: 47178391
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 674, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036202482467491, 'source_is_minimal': False, 'source_label': '675.3.d.k.674.2', 'source_level': 675, 'target_conrey_index': 674, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45036202482467491, 'target_is_minimal': False, 'target_label': '675.3.d.k.674.1', 'target_level': 675, 'twist_class_label': '675.3.c.r.26.2', 'twist_class_level': 675, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1195275
    {'charpoly_factorization': [[[9, -5, -3, 1], 2]], 'hecke_orbit_code': 45036202482467491, 'p': 2}
  • id: 1195276
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 45036202482467491, 'p': 3}
  • id: 1195277
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 45036202482467491, 'p': 5}
  • id: 1195278
    {'charpoly_factorization': [[[202500, 0, 10800, 0, 184, 0, 1], 1]], 'hecke_orbit_code': 45036202482467491, 'p': 7}
  • id: 1195279
    {'charpoly_factorization': [[[455625, 0, 64075, 0, 499, 0, 1], 1]], 'hecke_orbit_code': 45036202482467491, 'p': 11}
  • id: 1195280
    {'charpoly_factorization': [[[20025625, 0, 270675, 0, 951, 0, 1], 1]], 'hecke_orbit_code': 45036202482467491, 'p': 13}
  • id: 1195281
    {'charpoly_factorization': [[[738, 406, -42, 1], 2]], 'hecke_orbit_code': 45036202482467491, 'p': 17}
  • id: 1195282
    {'charpoly_factorization': [[[-766, -352, -8, 1], 2]], 'hecke_orbit_code': 45036202482467491, 'p': 19}
  • id: 1195283
    {'charpoly_factorization': [[[1215, 549, -51, 1], 2]], 'hecke_orbit_code': 45036202482467491, 'p': 23}
  • id: 1195284
    {'charpoly_factorization': [[[202500, 0, 28300, 0, 544, 0, 1], 1]], 'hecke_orbit_code': 45036202482467491, 'p': 29}
  • id: 1195285
    {'charpoly_factorization': [[[-20484, -732, 28, 1], 2]], 'hecke_orbit_code': 45036202482467491, 'p': 31}
  • id: 1195286
    {'charpoly_factorization': [[[1305015625, 0, 5424375, 0, 5475, 0, 1], 1]], 'hecke_orbit_code': 45036202482467491, 'p': 37}
  • id: 1195287
    {'charpoly_factorization': [[[590490000, 0, 10913200, 0, 6904, 0, 1], 1]], 'hecke_orbit_code': 45036202482467491, 'p': 41}
  • id: 1195288
    {'charpoly_factorization': [[[52562500, 0, 1023000, 0, 4716, 0, 1], 1]], 'hecke_orbit_code': 45036202482467491, 'p': 43}
  • id: 1195289
    {'charpoly_factorization': [[[174303, -2585, -69, 1], 2]], 'hecke_orbit_code': 45036202482467491, 'p': 47}
  • id: 1195290
    {'charpoly_factorization': [[[391374, -6542, -60, 1], 2]], 'hecke_orbit_code': 45036202482467491, 'p': 53}
  • id: 1195291
    {'charpoly_factorization': [[[10115330625, 0, 114772675, 0, 21379, 0, 1], 1]], 'hecke_orbit_code': 45036202482467491, 'p': 59}
  • id: 1195292
    {'charpoly_factorization': [[[63331, -5197, 23, 1], 2]], 'hecke_orbit_code': 45036202482467491, 'p': 61}
  • id: 1195293
    {'charpoly_factorization': [[[58522500, 0, 16953300, 0, 8236, 0, 1], 1]], 'hecke_orbit_code': 45036202482467491, 'p': 67}
  • id: 1195294
    {'charpoly_factorization': [[[14630625, 0, 16469575, 0, 16939, 0, 1], 1]], 'hecke_orbit_code': 45036202482467491, 'p': 71}
  • id: 1195295
    {'charpoly_factorization': [[[25824490000, 0, 160681200, 0, 25704, 0, 1], 1]], 'hecke_orbit_code': 45036202482467491, 'p': 73}
  • id: 1195296
    {'charpoly_factorization': [[[-141930, 4056, 158, 1], 2]], 'hecke_orbit_code': 45036202482467491, 'p': 79}
  • id: 1195297
    {'charpoly_factorization': [[[-16524, 5220, -162, 1], 2]], 'hecke_orbit_code': 45036202482467491, 'p': 83}
  • id: 1195298
    {'charpoly_factorization': [[[1117354702500, 0, 417935700, 0, 39204, 0, 1], 1]], 'hecke_orbit_code': 45036202482467491, 'p': 89}
  • id: 1195299
    {'charpoly_factorization': [[[74133675625, 0, 285858675, 0, 42891, 0, 1], 1]], 'hecke_orbit_code': 45036202482467491, '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': 4, 'hecke_orbit': 11, 'label': '675.3.d.k', 'level': 675, 'portrait': 'data:image/png;base64,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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 55454755
    {'hecke_orbit_code': 45036202482467491, 'n': 1, 'trace_an': 6}
  • id: 55454756
    {'hecke_orbit_code': 45036202482467491, 'n': 2, 'trace_an': 6}
  • id: 55454757
    {'hecke_orbit_code': 45036202482467491, 'n': 3, 'trace_an': 0}
  • id: 55454758
    {'hecke_orbit_code': 45036202482467491, 'n': 4, 'trace_an': 14}
  • id: 55454759
    {'hecke_orbit_code': 45036202482467491, 'n': 5, 'trace_an': 0}
  • id: 55454760
    {'hecke_orbit_code': 45036202482467491, 'n': 6, 'trace_an': 0}
  • id: 55454761
    {'hecke_orbit_code': 45036202482467491, 'n': 7, 'trace_an': 0}
  • id: 55454762
    {'hecke_orbit_code': 45036202482467491, 'n': 8, 'trace_an': 42}
  • id: 55454763
    {'hecke_orbit_code': 45036202482467491, 'n': 9, 'trace_an': 0}
  • id: 55454764
    {'hecke_orbit_code': 45036202482467491, 'n': 10, 'trace_an': 0}
  • id: 55454765
    {'hecke_orbit_code': 45036202482467491, 'n': 11, 'trace_an': 0}
  • id: 55454766
    {'hecke_orbit_code': 45036202482467491, 'n': 12, 'trace_an': 0}
  • id: 55454767
    {'hecke_orbit_code': 45036202482467491, 'n': 13, 'trace_an': 0}
  • id: 55454768
    {'hecke_orbit_code': 45036202482467491, 'n': 14, 'trace_an': 0}
  • id: 55454769
    {'hecke_orbit_code': 45036202482467491, 'n': 15, 'trace_an': 0}
  • id: 55454770
    {'hecke_orbit_code': 45036202482467491, 'n': 16, 'trace_an': 46}
  • id: 55454771
    {'hecke_orbit_code': 45036202482467491, 'n': 17, 'trace_an': 84}
  • id: 55454772
    {'hecke_orbit_code': 45036202482467491, 'n': 18, 'trace_an': 0}
  • id: 55454773
    {'hecke_orbit_code': 45036202482467491, 'n': 19, 'trace_an': 16}
  • id: 55454774
    {'hecke_orbit_code': 45036202482467491, 'n': 20, 'trace_an': 0}
  • id: 55454775
    {'hecke_orbit_code': 45036202482467491, 'n': 21, 'trace_an': 0}
  • id: 55454776
    {'hecke_orbit_code': 45036202482467491, 'n': 22, 'trace_an': 0}
  • id: 55454777
    {'hecke_orbit_code': 45036202482467491, 'n': 23, 'trace_an': 102}
  • id: 55454778
    {'hecke_orbit_code': 45036202482467491, 'n': 24, 'trace_an': 0}
  • id: 55454779
    {'hecke_orbit_code': 45036202482467491, 'n': 25, 'trace_an': 0}
  • id: 55454780
    {'hecke_orbit_code': 45036202482467491, 'n': 26, 'trace_an': 0}
  • id: 55454781
    {'hecke_orbit_code': 45036202482467491, 'n': 27, 'trace_an': 0}
  • id: 55454782
    {'hecke_orbit_code': 45036202482467491, 'n': 28, 'trace_an': 0}
  • id: 55454783
    {'hecke_orbit_code': 45036202482467491, 'n': 29, 'trace_an': 0}
  • id: 55454784
    {'hecke_orbit_code': 45036202482467491, 'n': 30, 'trace_an': 0}
  • id: 55454785
    {'hecke_orbit_code': 45036202482467491, 'n': 31, 'trace_an': -56}
  • id: 55454786
    {'hecke_orbit_code': 45036202482467491, 'n': 32, 'trace_an': 174}
  • id: 55454787
    {'hecke_orbit_code': 45036202482467491, 'n': 33, 'trace_an': 0}
  • id: 55454788
    {'hecke_orbit_code': 45036202482467491, 'n': 34, 'trace_an': 80}
  • id: 55454789
    {'hecke_orbit_code': 45036202482467491, 'n': 35, 'trace_an': 0}
  • id: 55454790
    {'hecke_orbit_code': 45036202482467491, 'n': 36, 'trace_an': 0}
  • id: 55454791
    {'hecke_orbit_code': 45036202482467491, 'n': 37, 'trace_an': 0}
  • id: 55454792
    {'hecke_orbit_code': 45036202482467491, 'n': 38, 'trace_an': 96}
  • id: 55454793
    {'hecke_orbit_code': 45036202482467491, 'n': 39, 'trace_an': 0}
  • id: 55454794
    {'hecke_orbit_code': 45036202482467491, 'n': 40, 'trace_an': 0}
  • id: 55454795
    {'hecke_orbit_code': 45036202482467491, 'n': 41, 'trace_an': 0}
  • id: 55454796
    {'hecke_orbit_code': 45036202482467491, 'n': 42, 'trace_an': 0}
  • id: 55454797
    {'hecke_orbit_code': 45036202482467491, 'n': 43, 'trace_an': 0}
  • id: 55454798
    {'hecke_orbit_code': 45036202482467491, 'n': 44, 'trace_an': 0}
  • id: 55454799
    {'hecke_orbit_code': 45036202482467491, 'n': 45, 'trace_an': 0}
  • id: 55454800
    {'hecke_orbit_code': 45036202482467491, 'n': 46, 'trace_an': 234}
  • id: 55454801
    {'hecke_orbit_code': 45036202482467491, 'n': 47, 'trace_an': 138}
  • id: 55454802
    {'hecke_orbit_code': 45036202482467491, 'n': 48, 'trace_an': 0}
  • id: 55454803
    {'hecke_orbit_code': 45036202482467491, 'n': 49, 'trace_an': -74}
  • id: 55454804
    {'hecke_orbit_code': 45036202482467491, 'n': 50, 'trace_an': 0}
  • id: 55454805
    {'hecke_orbit_code': 45036202482467491, 'n': 51, 'trace_an': 0}
  • id: 55454806
    {'hecke_orbit_code': 45036202482467491, 'n': 52, 'trace_an': 0}
  • id: 55454807
    {'hecke_orbit_code': 45036202482467491, 'n': 53, 'trace_an': 120}
  • id: 55454808
    {'hecke_orbit_code': 45036202482467491, 'n': 54, 'trace_an': 0}
  • id: 55454809
    {'hecke_orbit_code': 45036202482467491, 'n': 55, 'trace_an': 0}
  • id: 55454810
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  • id: 55454811
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  • id: 55454812
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  • id: 55454813
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  • id: 55454814
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  • id: 55454815
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  • id: 55454816
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  • id: 55454817
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  • id: 55454818
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  • id: 55454819
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  • id: 55454820
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  • id: 55454821
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  • id: 55454822
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  • id: 55454823
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  • id: 55454824
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  • id: 55454825
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  • id: 55454826
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  • id: 55454827
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  • id: 55454828
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  • id: 55454829
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  • id: 55454830
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  • id: 55454831
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  • id: 55454832
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  • id: 55454833
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  • id: 55454834
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  • id: 55454835
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  • id: 55454836
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  • id: 55454837
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  • id: 55454838
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  • id: 55454839
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  • id: 55454840
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  • id: 55454841
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  • id: 55454842
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  • id: 55454843
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  • id: 55454844
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  • id: 55454845
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  • id: 55454846
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  • id: 55454847
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  • id: 55454848
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  • id: 55454849
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  • id: 55454851
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  • id: 55454852
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  • id: 55454853
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  • id: 55454854
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  • id: 55454857
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  • id: 55454858
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  • id: 55454859
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  • id: 55454860
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  • id: 55454861
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  • id: 55454862
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  • id: 55454863
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  • id: 55454864
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  • id: 55454865
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  • id: 55454866
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  • id: 55454867
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  • id: 55454868
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  • id: 55454870
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  • id: 55454871
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  • id: 55454872
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  • id: 55454873
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  • id: 55454876
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  • id: 55454877
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  • id: 55454878
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  • id: 55454879
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  • id: 55454880
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  • id: 55454881
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  • id: 55454882
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  • id: 55454883
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  • id: 55454884
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  • id: 55454885
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  • id: 55454888
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  • id: 55454889
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  • id: 55454890
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  • id: 55454891
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  • id: 55454892
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  • id: 55454893
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  • id: 55454894
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  • id: 55454895
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  • id: 55454896
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  • id: 55454897
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  • id: 55454898
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  • id: 55454899
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  • id: 55454900
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  • id: 55454902
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  • id: 55454903
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  • id: 55454904
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  • id: 55454905
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  • id: 55454906
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  • id: 55454907
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  • id: 55454908
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  • id: 55454909
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  • id: 55454910
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  • id: 55454911
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  • id: 55454912
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  • id: 55454913
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  • id: 55454914
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  • id: 55454915
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  • id: 55454916
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  • id: 55454917
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  • id: 55454918
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  • id: 55454919
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  • id: 55454920
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  • id: 55454921
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  • id: 55454922
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  • id: 55454923
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  • id: 55454924
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  • id: 55454925
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  • id: 55454926
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  • id: 55454927
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  • id: 55454928
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  • id: 55454929
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  • id: 55454930
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  • id: 55454931
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  • id: 55454932
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  • id: 55454933
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  • id: 55454934
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  • id: 55454935
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  • id: 55454936
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  • id: 55454937
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  • id: 55454938
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  • id: 55454939
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  • id: 55454940
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  • id: 55454941
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  • id: 55454942
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  • id: 55454943
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  • id: 55454944
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  • id: 55454945
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  • id: 55454946
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  • id: 55454947
    {'hecke_orbit_code': 45036202482467491, 'n': 587, 'trace_an': -1812}
  • id: 55454948
    {'hecke_orbit_code': 45036202482467491, 'n': 593, 'trace_an': 1212}
  • id: 55454949
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  • id: 55454950
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  • id: 55454951
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  • id: 55454952
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  • id: 55454953
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  • id: 55454954
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  • id: 55454955
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  • id: 55454956
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  • id: 55454957
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  • id: 55454958
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  • id: 55454959
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  • id: 55454960
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  • id: 55454961
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  • id: 55454962
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  • id: 55454963
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  • id: 55454964
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  • id: 55454965
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  • id: 55454966
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  • id: 55454967
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  • id: 55454968
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  • id: 55454969
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  • id: 55454970
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  • id: 55454971
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  • id: 55454972
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  • id: 55454973
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  • id: 55454974
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  • id: 55454975
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  • id: 55454976
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  • id: 55454978
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  • id: 55454979
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  • id: 55454980
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  • id: 55454981
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  • id: 55454982
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  • id: 55454983
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  • id: 55454986
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  • id: 55454987
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  • id: 55454988
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  • id: 55454989
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  • id: 55454991
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  • id: 55454998
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  • id: 55455001
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  • id: 55455003
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  • id: 55455004
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  • id: 55455005
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  • id: 55455006
    {'hecke_orbit_code': 45036202482467491, 'n': 961, 'trace_an': -1270}
  • id: 55455007
    {'hecke_orbit_code': 45036202482467491, 'n': 967, 'trace_an': 0}
  • id: 55455008
    {'hecke_orbit_code': 45036202482467491, 'n': 971, 'trace_an': 0}
  • id: 55455009
    {'hecke_orbit_code': 45036202482467491, 'n': 977, 'trace_an': -2724}
  • id: 55455010
    {'hecke_orbit_code': 45036202482467491, 'n': 983, 'trace_an': 1350}
  • id: 55455011
    {'hecke_orbit_code': 45036202482467491, 'n': 991, 'trace_an': -5364}
  • id: 55455012
    {'hecke_orbit_code': 45036202482467491, 'n': 997, 'trace_an': 0}