Embedded newform data - 525.2.j.c.218.14

Formats: - HTML - YAML - JSON - 2024-06-17T14:44:23.033225

• 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': 2100, 'analytic_conductor': 4.19214610611722, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 15, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 10, 'char_orbit_label': 'j', 'char_order': 4, 'char_parity': 1, 'char_values': [525, 4, [176, 127, 451], [2, 3, 4]], 'cm_discs': [], 'conrey_index': 218, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [3721, 0, 0, 0, 4414, 0, 0, 0, 1011, 0, 0, 0, 70, 0, 0, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007817763586573, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 5, 2, 1, 2, 0], [1, 2, 5, 3, -1, 4, 0], [1, 1, 15, 4, -1, 2, 0], [1, 2, 15, 5, 1, 4, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '525.2.j.c', 'level': 525, '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': [3, 5, 7], 'level_radical': 105, 'minimal_twist': '525.2.j.c', 'prim_orbit_index': 5, 'related_objects': [], 'relative_dim': 16, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '525.2.j', 'trace_display': [0, 0, 0, 0], 'traces': [32, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 560, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 496, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1040, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 544, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 816, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 400, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 720, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, -976, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 544, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 272, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 400, 0, 0, 0, 0, 0, 0, 0, 0, 0, -816, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, -720, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 752, 0, 0, 0, 0, 0, 0, 0, 0, 0, -608, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 896, 0, 0, 0, 0, 528, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 864, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 848, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, -544, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, -528, 0, 0, 0, 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], [0.899519753947065, 0.899519753947065], [0.8943376979543884, -0.44739253683722197], [0.0, 0.6182715754819764], [0.0, 0.0], [1.206912850663087, 0.40203600135594486], [-0.2672612419124244, 0.2672612419124244], [0.34337225849705333, -0.34337225849705333], [0.59967983596471, -0.8002400229539501], [0.0, 0.0], [0.0, 0.17972400461066762], [0.2766100886092274, 0.5529435775271837], [0.18074572583968113, 0.18074572583968113], [-0.480813533129302, 0.0], [0.0, 0.0], [1.236011834433011, 0.0], [0.6384743399193946, 0.6384743399193946], [1.2592555670401229, -0.18040785005213864], [0.0, -0.2670805019747149], [0.0, 0.0], [-0.11945111882692253, 0.3585924888618546], [-0.16166529240576888, 0.16166529240576888], [-0.5908685795535441, 0.5908685795535441], [0.15346856939713083, -0.4607129410141769], [0.0, 0.0], [0.0, 0.32516870166858725], [0.1782948700582995, -0.9839771030419835], [-0.16524002910246424, -0.16524002910246424], [-1.778053442189415, 0.0], [0.0, 0.0], [-1.356002880885778, 0.0], [0.7684448026877893, 0.7684448026877893], [0.08040717835331117, 0.16073395255064837], [0.0, 1.148640562291617], [0.0, 0.0], [0.49476565975547165, 0.37076499696667437], [1.28470147471811, -1.28470147471811], [0.2402441874203541, -0.2402441874203541], [0.24251200516845542, 0.08078342755665548], [0.0, 0.0], [0.0, 1.3003739464857988], [-0.430009668364176, 0.21511238633238608], [-1.1767403739506064, -1.1767403739506064], [-0.11111824348256745, 0.0], [0.0, 0.0], [-1.0629959185901114, 0.0], [0.7786244359810425, 0.7786244359810425], [1.1054119786512, -0.5529824701678132], [0.0, -0.14285714285714285], [0.0, 0.0], [0.8566603260084678, 0.2853630167244503], [-0.11174994467653303, 0.11174994467653303], [-0.3494763279679476, 0.3494763279679476], [1.0454865992627362, -0.7247270839730052], [0.0, 0.0], [0.0, 0.18354019248839298], [-0.11948982331822637, -0.23886016130456902], [-1.5993941948229542, -1.5993941948229542], [-0.5696404031751268, 0.0], [0.0, 0.0], [-1.9223465003358589, 0.0], [-1.2197513777658862, -1.2197513777658862], [0.053601964652932384, 0.374144320072467], [0.0, 0.1464507252382308], [0.0, 0.0], [-0.0722555201613502, 0.21691121073724665], [0.15401455097519937, -0.15401455097519937], [-0.394750536046779, 0.394750536046779], [-0.26408585248763006, 0.7927862379753621], [0.0, 0.0], [0.0, -0.8508258430611055], [-0.06886680437108672, -0.4806936436717766], [0.6626290477349409, 0.6626290477349409], [2.3112287088677315, 0.0], [0.0, 0.0], [0.16512828273642408, 0.0], [-0.04803326067372131, -0.04803326067372131], [0.14547805033957506, 0.2908106280971016], [0.0, 0.4334104849681781], [0.0, 0.0], [-0.2807681886746772, -0.959775611394841], [-1.1697120523820794, 1.1697120523820794], [-0.51665093484896, 0.51665093484896], [-0.2217075430446219, -0.07385323143020615], [0.0, 0.0], [0.0, -2.1170024232712534], [-1.5901802223275576, 0.7954878401332771], [0.06171223736929976, 0.06171223736929976], [-0.23294703518941273, 0.0], [0.0, 0.0], [-0.09661265431655151, 0.0], [-0.3653172475833672, -0.3653172475833672], [-1.2127244949109055, 0.6066655688380695], [0.0, 1.4007761221416792], [0.0, 0.0], [1.0310456255346803, 0.34345268614694313], [0.7816584964472056, -0.7816584964472056], [0.12850282199243784, -0.12850282199243784], [0.14382234157501647, 0.10777686160384592], [0.0, 0.0], [0.0, 1.2700458843134517], [0.5138932150777796, 1.0272725562569192], [0.6689559741031901, 0.6689559741031901], [0.12412613619052104, 0.0], [0.0, 0.0], [-0.628721721088104, 0.0], [-0.017066973134795035, -0.017066973134795035], [0.6083650737359582, 0.11023465021129909], [0.0, -1.0730268944083063], [0.0, 0.0], [0.574191107605347, -1.7237228113106577], [-0.33033805788902043, 0.33033805788902043], [0.05206892029010322, -0.05206892029010322], [0.10737597705405291, -0.3223428899948314], [0.0, 0.0], [0.0, -1.0993199029936007], [0.2530295310176372, -0.03625039657191238], [-0.5124027953023969, -0.5124027953023969], [-0.34127889003214557, 0.0], [0.0, 0.0], [0.9676992821667048, 0.0], [-1.7291886509831131, -1.7291886509831131], [0.5817775987553114, 1.1629734417799724], [0.0, -0.8383780375233487], [0.0, 0.0], [-0.28833418067659244, 0.38476623278796246], [-0.2330421956511988, 0.2330421956511988], [0.6367094823561266, -0.6367094823561266], [-1.5788681382295147, -0.5259384160284285], [0.0, 0.0], [0.0, -1.4440648555013107], [-0.0993772340769346, 0.04971347284056196], [0.07138026664835602, 0.07138026664835602], [0.27707826199495805, 0.0], [0.0, 0.0], [0.4384687521810757, 0.0], [0.9533164098262638, 0.9533164098262638], [-0.9506773227667908, 0.4755764406656431], [0.0, 0.24628493917485392], [0.0, 0.0], [1.0447039473033295, 0.3480024239893099], [0.7653346530021297, -0.7653346530021297], [-0.032484345664169315, 0.032484345664169315], [0.7412113741232284, -0.9891061387580268], [0.0, 0.0], [0.0, 1.192095835953424], [-0.06391321954817457, -0.12776252827919835], [0.7942944047979843, 0.7942944047979843], [0.2272508480160882, 0.0], [0.0, 0.0], [0.168600430012116, 0.0], [-0.09170803516358457, -0.09170803516358457], [0.8938129078631435, -0.12805253300206546], [0.0, -0.08641373364500204], [0.0, 0.0], [-0.04994609702828749, 0.14993827950879413], [-0.7408341581909983, 0.7408341581909983], [-0.3898612927966536, 0.3898612927966536], [-0.15619675371027006, 0.4689029555785442], [0.0, 0.0], [0.0, -0.31583254075702066], [0.6107805898134725, -1.1158936537990898], [0.7370261487739292, 0.7370261487739292], [-0.8039842486094901, 0.0], [0.0, 0.0], [-0.929475443583715, 0.0], [-0.8084372941625919, -0.8084372941625919], [0.08211451232897417, 0.16414691323217473], [0.0, -0.9346619651813737], [0.0, 0.0], [-0.21372850703079835, -0.16016279161356942], [0.7275451249356915, -0.7275451249356915], [1.3712708071726807, -1.3712708071726807], [-2.145955548544141, -0.714841496095006], [0.0, 0.0], [0.0, 0.22214099663047823], [-0.5094508868374525, 0.2548528650614979], [-0.2095404597762788, -0.2095404597762788], [1.363326345802103, 0.0], [0.0, 0.0], 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-0.007266590747572905, 0.01964860657728409, -0.23187681121272521, -0.2365672619078149, -0.46275216987209616, -0.037750449218461136, -0.2218485273548072, -0.16432128507860172, -0.1306284823767719, -0.21988865834252733, 0.025059436145574356, -0.22744630681597683, -0.16853933420367598, 0.004391865791550419, -0.22846352683563814, -0.16267200025095277, -0.04361945792233869, 0.10362879269800224, -0.31027289035676914, -0.28098941782035186, -0.2239552689252522, 0.15636126493350472, -0.031375724656318736, -0.4267040553889661, -0.2140791120410439, -0.2861131174599367, -0.2966665634064963, 0.08525461540592509, -0.20081631704760844, -0.48439360077696003, -0.48328224939270814, -0.39411348554052467, -0.007983243291571825, 0.015550077968138854, -0.3428443894099669, -0.40805974241934123, -0.4857588594794701, -0.4385305908089347, -0.3322487047118126, -0.18151708216874968, -0.2920521618712711, -0.034098253865891416, -0.34713135378320614, -0.4374419820691413, -0.3479616697069021, -0.28640907483222844, 0.06139445163601962, -0.39226651164268844, -0.17139279691905757, -0.2859453706270134, -0.4325049212939605, -6.95873269152916e-05, -0.45237583722570074, -0.41044838887185175, -0.3045459071574125, -0.47434658894925935, 0.08436065532363596, -0.13053296215880592, -0.4541804822567098, -0.24131211554985635, -0.29221405663023914, -0.3616252644700123, 0.012688507746459205, -0.4202323717021203, -0.15868371138129278, -0.3928466336545972, -0.15976648744130573, -0.26775077700022554, -0.39064767563180425, -0.1730818227215675, -0.31752983168207505, -0.18344815158549915, -0.2865750914388142, -0.359215738740584, -0.18009990381663135, -0.28349929739562624, -0.34673006701075687, -0.18321454305535126, -0.49497796980152503, -0.18009689388338787, -0.16027743279783702, -0.4774610521486775, -0.3281536370946329, -0.49819436197773503, -0.1040684604976656, -0.10480939229916608, -0.45935832695619144, -0.1756874305955604, -0.19651468989229054, -0.03318262908338225, -0.1658175001399154, -0.1778543319431373, -0.36611762918210167, 0.22494031387907568, -0.4314267813615472, -0.38647028373850567, -0.25592272322683424, -0.03507575946654601, 0.03410655316309075, -0.4852484329501142, -0.1190051786253645, -0.3567062302770878, -0.4174332676721402, 0.02988812110643724, -0.38147421542666715, -0.3998365060906745, -0.01765542796129962, -0.3109067289326578, -0.30992310012447505, -0.46079609502743224, -0.08681742001654173, -0.169741243156808, -0.4469403158691497, -0.4004261707064321, -0.23746648999241401, -0.024716176810300982, 0.005369452486922431, -0.44533848520364977, -0.24753974399335285, -0.4005328060020726, -0.12660830688743285, 0.07284978280670495, -0.4237752352395738, 0.041462209095717434, 0.17422062792565782, -0.21058791921454667, -0.4235779745690796, -0.4918197981225849, -0.17967168631408473, -0.33866272116117696, -0.38215589296142416, 0.009141325849460981, -0.21630476596228937, -0.4689438822895395, -0.316808609978442, -0.4380135061705522], 'char_orbit_index': 10, 'conrey_index': 218, 'dual_conrey_index': 407, 'dual_embedding_index': 14, 'dual_embedding_m': 30, 'embedding_index': 14, 'embedding_m': 14, 'hecke_orbit': 3, 'hecke_orbit_code': 9007817763586573, 'label': '525.2.j.c.218.14', 'level': 525, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 2100, 'analytic_conductor': 4.19214610611722, 'char_conductor': 15, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 10, 'char_orbit_label': 'j', 'char_order': 4, 'char_parity': 1, 'char_values': [525, 4, [176, 127, 451], [2, 3, 4]], 'conrey_index': 218, 'cusp_dim': 136, 'dim': 72, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 618508845581, 'hecke_orbit_dims': [16, 24, 32], 'label': '525.2.j', 'level': 525, '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': [3, 5, 7], 'level_radical': 105, 'mf_dim': 184, 'mf_new_dim': 72, 'num_forms': 3, 'prim_orbit_index': 5, 'relative_dim': 36, 'sturm_bound': 160, 'trace_bound': 1, 'trace_display': [0, 4, 0, 0], 'traces': [72, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, -16, 8, 0, 0, -88, 0, 20, 0, 0, -8, -8, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -28, 0, 0, -32, 16, 0, 0, 0, 0, 20, 40, 0, 0, 128, 0, -16, 0, 0, -80, 0, 0, 0, 0, 0, -4, -40, 0, 0, -64, 0, 8, 0, 0, 152, -24, 0, 0, 0, 0, 8, -32, 0, 0, -64, 0, -60, 0, 0, 16, 80, 0, 0, 0, 0, -4, -96, 0, 0, 48, 0, 76, 0, 0, 192, -24, 0, 0, 0, 0, 36, 88, 0, 0, -208, 0, 96, 0, 0, -136, -32, 0, 0, 0, 0, -92, 80, 0, 0, -152, 0, 20, 0, 0, -80, 8, 0, 0, 0, 0, -48, -24, 0, 0, -16, 0, -152, 0, 0, -16, -80, 0, 0, 0, 0, 4, 80, 0, 0, 208, 0, -52, 0, 0, 104, 16, 0, 0, 0, 0, 12, -128, 0, 0, 112, 0, 40, 0, 0, 8, -160, 0, 0, 0, 0, 28, -64, 0, 0, 64, 0, -48, 0, 0, -344, 88, 0, 0, 0, 0, 0, -64, 0, 0, 88, 0, 68, 0, 0, 16, 128, 0, 0, 0, 0, 120, 224, 0, 0, -16, 0, 24, 0, 0, 64, -24, 0, 0, 0, 0, -88, 8, 0, 0, 496, 0, 112, 0, 0, 64, 144, 0, 0, 0, 0, 52, -56, 0, 0, -192, 0, -156, 0, 0, -136, -72, 0, 0, 0, 0, 48, 16, 0, 0, -200, 0, 32, 0, 0, 32, 80, 0, 0, 0, 0, -96, -32, 0, 0, -256, 0, 56, 0, 0, -184, -96, 0, 0, 0, 0, 116, -56, 0, 0, 32, 0, -128, 0, 0, 176, 32, 0, 0, 0, 0, 40, -144, 0, 0, 0, 0, 124, 0, 0, 136, -24, 0, 0, 0, 0, 72, 200, 0, 0, 224, 0, 104, 0, 0, 152, -16, 0, 0, 0, 0, -156, 32, 0, 0, -144, 0, 96, 0, 0, -64, 112, 0, 0, 0, 0, -176, 0, 0, 0, -160, 0, -304, 0, 0, 184, -80, 0, 0, 0, 0, 0, 240, 0, 0, 264, 0, -112, 0, 0, -80, -248, 0, 0, 0, 0, -112, -144, 0, 0, -384, 0, 48, 0, 0, -96, 72, 0, 0, 0, 0, 12, -224, 0, 0, -208, 0, -16, 0, 0, -8, 216, 0, 0, 0, 0, 120, -104, 0, 0, -128, 0, 104, 0, 0, 336, 64, 0, 0, 0, 0, 104, 192, 0, 0, 16, 0, 92, 0, 0, 352, 32, 0, 0, 0, 0, -128, 176, 0, 0, 624, 0, 248, 0, 0, -8, -248, 0, 0, 0, 0, 80, -64, 0, 0, 224, 0, -188, 0, 0, 512, 56, 0, 0, 0, 0, 60, 16, 0, 0, -176, 0, -48, 0, 0, -288, -160, 0, 0, 0, 0, -116, -72, 0, 0, 192, 0, 48, 0, 0, -576, -128, 0, 0, 0, 0, 192, 184, 0, 0, -288, 0, -152, 0, 0, -344, 112, 0, 0, 0, 0, 128, -256, 0, 0, -160, 0, 72, 0, 0, -520, -72, 0, 0, 0, 0, -60, 64, 0, 0, -208, 0, 16, 0, 0, -440, -112, 0, 0, 0, 0, -120, -240, 0, 0, -352, 0, 100, 0, 0, -256, 304, 0, 0, 0, 0, -112, -144, 0, 0, 816, 0, -216, 0, 0, 536, -280, 0, 0, 0, 0, -16, 80, 0, 0, -144, 0, -124, 0, 0, -168, 120, 0, 0, 0, 0, 36, -152, 0, 0, -896, 0, 16, 0, 0, 208, 144, 0, 0, 0, 0, 4, 48, 0, 0, 416, 0, -124, 0, 0, 408, 152, 0, 0, 0, 0, 80, 24, 0, 0, 64, 0, 68, 0, 0, 200, 224, 0, 0, 0, 0, -12, 416, 0, 0, -224, 0, -60, 0, 0, 160, 8, 0, 0, 0, 0, -80, 264, 0, 0, 816, 0, 200, 0, 0, 112, 96, 0, 0, 0, 0, 128, -8, 0, 0, 608, 0, -20, 0, 0, -608, 176, 0, 0, 0, 0, 48, -32, 0, 0, -152, 0, 88, 0, 0, 88, -272, 0, 0, 0, 0, -156, -64, 0, 0, 336, 0, 80, 0, 0, 168, -216, 0, 0, 0, 0, 112, -304, 0, 0, 176, 0, -32, 0, 0, -208, 224, 0, 0, 0, 0, 76, -240, 0, 0, 224, 0, 160, 0, 0, 232, -144, 0, 0, 0, 0, -32, 136, 0, 0, -832, 0, -24, 0, 0, -168, -32, 0, 0, 0, 0, -56, 32, 0, 0, -128, 0, 96, 0, 0, 376, -48, 0, 0, 0, 0, -312, -32, 0, 0, -928, 0, -224, 0, 0, -176, -304, 0, 0, 0, 0, -8, 40, 0, 0, 112, 0, -136, 0, 0, -240, -264, 0, 0, 0, 0, 56, -96, 0, 0, 176, 0, -8, 0, 0, -288, -72, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 136, 0, 0, 16, 16, 0, 0, 0, 0, -48, 88, 0, 0, 32, 0, 96, 0, 0, -288, 160, 0, 0, 0, 0, 200, 272, 0, 0, 40, 0, 124, 0, 0, 1144, -32, 0, 0, 0, 0, -32, -96, 0, 0, -1264, 0, 60, 0, 0, 16, 120, 0, 0, 0, 0, 120, 16, 0, 0, 656, 0, -68, 0, 0, 352, 40, 0, 0, 0, 0, 20, 96, 0, 0, 512, 0, 16, 0, 0, 304, 448, 0, 0, 0, 0, -72, 232, 0, 0, 400, 0, 20, 0, 0, -360, 32, 0, 0, 0, 0, 224, 112, 0, 0, 48, 0, -184, 0, 0, -72, -64, 0, 0, 0, 0, 108, 224, 0, 0, -32, 0, -68, 0, 0, 1168, -392, 0, 0, 0, 0, 136, -80, 0, 0, 960, 0, 80, 0, 0, 48, 64, 0, 0, 0, 0, -116, -112, 0, 0, -360, 0, -92, 0, 0, -96, 280, 0, 0, 0, 0, -112, -16, 0, 0, -144, 0, -88, 0, 0, -472, -40, 0, 0, 0, 0, -80, 0, 0, 0, -64, 0, -48, 0, 0, -816, -120, 0, 0, 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: 41138039
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 218, 'source_dim': 32, 'source_embedding_index': 14, 'source_hecke_orbit_code': 9007817763586573, 'source_is_minimal': True, 'source_label': '525.2.j.c.218.14', 'source_level': 525, 'target_conrey_index': 218, 'target_dim': 32, 'target_embedding_index': 14, 'target_hecke_orbit_code': 9007817763586573, 'target_is_minimal': True, 'target_label': '525.2.j.c.218.14', 'target_level': 525, 'twist_class_label': '525.2.j.c.218.3', 'twist_class_level': 525, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 41138040
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 218, 'source_dim': 32, 'source_embedding_index': 14, 'source_hecke_orbit_code': 9007817763586573, 'source_is_minimal': True, 'source_label': '525.2.j.c.218.14', 'source_level': 525, 'target_conrey_index': 218, 'target_dim': 32, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007817763586573, 'target_is_minimal': True, 'target_label': '525.2.j.c.218.4', 'target_level': 525, 'twist_class_label': '525.2.j.c.218.3', 'twist_class_level': 525, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41138041
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 218, 'source_dim': 32, 'source_embedding_index': 14, 'source_hecke_orbit_code': 9007817763586573, 'source_is_minimal': True, 'source_label': '525.2.j.c.218.14', 'source_level': 525, 'target_conrey_index': 407, 'target_dim': 32, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007817763586573, 'target_is_minimal': True, 'target_label': '525.2.j.c.407.4', 'target_level': 525, 'twist_class_label': '525.2.j.c.218.3', 'twist_class_level': 525, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41138042
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 218, 'source_dim': 32, 'source_embedding_index': 14, 'source_hecke_orbit_code': 9007817763586573, 'source_is_minimal': True, 'source_label': '525.2.j.c.218.14', 'source_level': 525, 'target_conrey_index': 407, 'target_dim': 32, 'target_embedding_index': 13, 'target_hecke_orbit_code': 9007817763586573, 'target_is_minimal': True, 'target_label': '525.2.j.c.407.13', 'target_level': 525, 'twist_class_label': '525.2.j.c.218.3', 'twist_class_level': 525, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41138043
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 218, 'source_dim': 32, 'source_embedding_index': 14, 'source_hecke_orbit_code': 9007817763586573, 'source_is_minimal': True, 'source_label': '525.2.j.c.218.14', 'source_level': 525, 'target_conrey_index': 218, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007817763586573, 'target_is_minimal': True, 'target_label': '525.2.j.c.218.3', 'target_level': 525, 'twist_class_label': '525.2.j.c.218.3', 'twist_class_level': 525, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 41138044
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 218, 'source_dim': 32, 'source_embedding_index': 14, 'source_hecke_orbit_code': 9007817763586573, 'source_is_minimal': True, 'source_label': '525.2.j.c.218.14', 'source_level': 525, 'target_conrey_index': 407, 'target_dim': 32, 'target_embedding_index': 14, 'target_hecke_orbit_code': 9007817763586573, 'target_is_minimal': True, 'target_label': '525.2.j.c.407.14', 'target_level': 525, 'twist_class_label': '525.2.j.c.218.3', 'twist_class_level': 525, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41138045
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 218, 'source_dim': 32, 'source_embedding_index': 14, 'source_hecke_orbit_code': 9007817763586573, 'source_is_minimal': True, 'source_label': '525.2.j.c.218.14', 'source_level': 525, 'target_conrey_index': 407, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007817763586573, 'target_is_minimal': True, 'target_label': '525.2.j.c.407.3', 'target_level': 525, 'twist_class_label': '525.2.j.c.218.3', 'twist_class_level': 525, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 41138046
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 218, 'source_dim': 32, 'source_embedding_index': 14, 'source_hecke_orbit_code': 9007817763586573, 'source_is_minimal': True, 'source_label': '525.2.j.c.218.14', 'source_level': 525, 'target_conrey_index': 218, 'target_dim': 32, 'target_embedding_index': 13, 'target_hecke_orbit_code': 9007817763586573, 'target_is_minimal': True, 'target_label': '525.2.j.c.218.13', 'target_level': 525, 'twist_class_label': '525.2.j.c.218.3', 'twist_class_level': 525, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• hecke_orbit_code 9007817763586573 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 10, 'hecke_orbit': 3, 'label': '525.2.j.c', 'level': 525, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 31270093
    {'hecke_orbit_code': 9007817763586573, 'n': 1, 'trace_an': 32}
  • id: 31270094
    {'hecke_orbit_code': 9007817763586573, 'n': 2, 'trace_an': 0}
  • id: 31270095
    {'hecke_orbit_code': 9007817763586573, 'n': 3, 'trace_an': 0}
  • id: 31270096
    {'hecke_orbit_code': 9007817763586573, 'n': 4, 'trace_an': 0}
  • id: 31270097
    {'hecke_orbit_code': 9007817763586573, 'n': 5, 'trace_an': 0}
  • id: 31270098
    {'hecke_orbit_code': 9007817763586573, 'n': 6, 'trace_an': -16}
  • id: 31270099
    {'hecke_orbit_code': 9007817763586573, 'n': 7, 'trace_an': 0}
  • id: 31270100
    {'hecke_orbit_code': 9007817763586573, 'n': 8, 'trace_an': 0}
  • id: 31270101
    {'hecke_orbit_code': 9007817763586573, 'n': 9, 'trace_an': 0}
  • id: 31270102
    {'hecke_orbit_code': 9007817763586573, 'n': 10, 'trace_an': 0}
  • id: 31270103
    {'hecke_orbit_code': 9007817763586573, 'n': 11, 'trace_an': 0}
  • id: 31270104
    {'hecke_orbit_code': 9007817763586573, 'n': 12, 'trace_an': 0}
  • id: 31270105
    {'hecke_orbit_code': 9007817763586573, 'n': 13, 'trace_an': 0}
  • id: 31270106
    {'hecke_orbit_code': 9007817763586573, 'n': 14, 'trace_an': 0}
  • id: 31270107
    {'hecke_orbit_code': 9007817763586573, 'n': 15, 'trace_an': 0}
  • id: 31270108
    {'hecke_orbit_code': 9007817763586573, 'n': 16, 'trace_an': -16}
  • id: 31270109
    {'hecke_orbit_code': 9007817763586573, 'n': 17, 'trace_an': 0}
  • id: 31270110
    {'hecke_orbit_code': 9007817763586573, 'n': 18, 'trace_an': 0}
  • id: 31270111
    {'hecke_orbit_code': 9007817763586573, 'n': 19, 'trace_an': 0}
  • id: 31270112
    {'hecke_orbit_code': 9007817763586573, 'n': 20, 'trace_an': 0}
  • id: 31270113
    {'hecke_orbit_code': 9007817763586573, 'n': 21, 'trace_an': -8}
  • id: 31270114
    {'hecke_orbit_code': 9007817763586573, 'n': 22, 'trace_an': 0}
  • id: 31270115
    {'hecke_orbit_code': 9007817763586573, 'n': 23, 'trace_an': 0}
  • id: 31270116
    {'hecke_orbit_code': 9007817763586573, 'n': 24, 'trace_an': 0}
  • id: 31270117
    {'hecke_orbit_code': 9007817763586573, 'n': 25, 'trace_an': 0}
  • id: 31270118
    {'hecke_orbit_code': 9007817763586573, 'n': 26, 'trace_an': 0}
  • id: 31270119
    {'hecke_orbit_code': 9007817763586573, 'n': 27, 'trace_an': 0}
  • id: 31270120
    {'hecke_orbit_code': 9007817763586573, 'n': 28, 'trace_an': 0}
  • id: 31270121
    {'hecke_orbit_code': 9007817763586573, 'n': 29, 'trace_an': 0}
  • id: 31270122
    {'hecke_orbit_code': 9007817763586573, 'n': 30, 'trace_an': 0}
  • id: 31270123
    {'hecke_orbit_code': 9007817763586573, 'n': 31, 'trace_an': 16}
  • id: 31270124
    {'hecke_orbit_code': 9007817763586573, 'n': 32, 'trace_an': 0}
  • id: 31270125
    {'hecke_orbit_code': 9007817763586573, 'n': 33, 'trace_an': 0}
  • id: 31270126
    {'hecke_orbit_code': 9007817763586573, 'n': 34, 'trace_an': 0}
  • id: 31270127
    {'hecke_orbit_code': 9007817763586573, 'n': 35, 'trace_an': 0}
  • id: 31270128
    {'hecke_orbit_code': 9007817763586573, 'n': 36, 'trace_an': 48}
  • id: 31270129
    {'hecke_orbit_code': 9007817763586573, 'n': 37, 'trace_an': 0}
  • id: 31270130
    {'hecke_orbit_code': 9007817763586573, 'n': 38, 'trace_an': 0}
  • id: 31270131
    {'hecke_orbit_code': 9007817763586573, 'n': 39, 'trace_an': 0}
  • id: 31270132
    {'hecke_orbit_code': 9007817763586573, 'n': 40, 'trace_an': 0}
  • id: 31270133
    {'hecke_orbit_code': 9007817763586573, 'n': 41, 'trace_an': 0}
  • id: 31270134
    {'hecke_orbit_code': 9007817763586573, 'n': 42, 'trace_an': 0}
  • id: 31270135
    {'hecke_orbit_code': 9007817763586573, 'n': 43, 'trace_an': 0}
  • id: 31270136
    {'hecke_orbit_code': 9007817763586573, 'n': 44, 'trace_an': 0}
  • id: 31270137
    {'hecke_orbit_code': 9007817763586573, 'n': 45, 'trace_an': 0}
  • id: 31270138
    {'hecke_orbit_code': 9007817763586573, 'n': 46, 'trace_an': 144}
  • id: 31270139
    {'hecke_orbit_code': 9007817763586573, 'n': 47, 'trace_an': 0}
  • id: 31270140
    {'hecke_orbit_code': 9007817763586573, 'n': 48, 'trace_an': 0}
  • id: 31270141
    {'hecke_orbit_code': 9007817763586573, 'n': 49, 'trace_an': 0}
  • id: 31270142
    {'hecke_orbit_code': 9007817763586573, 'n': 50, 'trace_an': 0}
  • id: 31270143
    {'hecke_orbit_code': 9007817763586573, 'n': 51, 'trace_an': -64}
  • id: 31270144
    {'hecke_orbit_code': 9007817763586573, 'n': 52, 'trace_an': 0}
  • id: 31270145
    {'hecke_orbit_code': 9007817763586573, 'n': 53, 'trace_an': 0}
  • id: 31270146
    {'hecke_orbit_code': 9007817763586573, 'n': 54, 'trace_an': 0}
  • id: 31270147
    {'hecke_orbit_code': 9007817763586573, 'n': 55, 'trace_an': 0}
  • id: 31270148
    {'hecke_orbit_code': 9007817763586573, 'n': 56, 'trace_an': 0}
  • id: 31270149
    {'hecke_orbit_code': 9007817763586573, 'n': 57, 'trace_an': 0}
  • id: 31270150
    {'hecke_orbit_code': 9007817763586573, 'n': 58, 'trace_an': 0}
  • id: 31270151
    {'hecke_orbit_code': 9007817763586573, 'n': 59, 'trace_an': 0}
  • id: 31270152
    {'hecke_orbit_code': 9007817763586573, 'n': 60, 'trace_an': 0}
  • id: 31270153
    {'hecke_orbit_code': 9007817763586573, 'n': 61, 'trace_an': -112}
  • id: 31270154
    {'hecke_orbit_code': 9007817763586573, 'n': 62, 'trace_an': 0}
  • id: 31270155
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  • id: 31270156
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  • id: 31270157
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  • id: 31270158
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  • id: 31270159
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  • id: 31270160
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  • id: 31270161
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  • id: 31270162
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  • id: 31270163
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  • id: 31270164
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  • id: 31270165
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  • id: 31270166
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  • id: 31270167
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  • id: 31270168
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  • id: 31270169
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  • id: 31270170
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  • id: 31270171
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  • id: 31270172
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  • id: 31270173
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  • id: 31270174
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  • id: 31270175
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  • id: 31270176
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  • id: 31270177
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  • id: 31270178
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  • id: 31270179
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  • id: 31270180
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  • id: 31270181
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  • id: 31270182
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  • id: 31270183
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  • id: 31270184
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  • id: 31270185
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  • id: 31270186
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  • id: 31270187
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  • id: 31270188
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  • id: 31270189
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  • id: 31270190
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  • id: 31270191
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  • id: 31270192
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  • id: 31270193
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  • id: 31270194
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  • id: 31270195
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  • id: 31270196
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  • id: 31270197
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  • id: 31270198
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  • id: 31270199
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  • id: 31270200
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  • id: 31270201
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  • id: 31270202
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  • id: 31270203
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  • id: 31270204
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  • id: 31270205
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  • id: 31270206
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  • id: 31270207
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  • id: 31270208
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  • id: 31270209
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  • id: 31270210
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  • id: 31270211
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  • id: 31270212
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  • id: 31270213
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  • id: 31270214
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  • id: 31270215
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  • id: 31270216
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  • id: 31270217
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  • id: 31270218
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  • id: 31270219
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  • id: 31270220
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  • id: 31270221
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  • id: 31270222
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  • id: 31270223
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  • id: 31270224
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  • id: 31270225
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  • id: 31270226
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  • id: 31270227
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  • id: 31270228
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  • id: 31270229
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  • id: 31270230
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  • id: 31270231
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  • id: 31270232
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  • id: 31270233
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  • id: 31270234
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  • id: 31270235
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  • id: 31270236
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  • id: 31270237
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  • id: 31270238
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  • id: 31270239
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  • id: 31270240
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  • id: 31270241
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  • id: 31270242
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  • id: 31270243
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  • id: 31270244
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  • id: 31270245
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  • id: 31270246
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  • id: 31270247
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  • id: 31270248
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  • id: 31270249
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  • id: 31270250
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  • id: 31270251
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  • id: 31270252
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  • id: 31270253
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  • id: 31270254
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  • id: 31270255
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  • id: 31270256
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  • id: 31270257
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  • id: 31270258
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  • id: 31270259
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  • id: 31270260
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  • id: 31270261
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  • id: 31270262
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  • id: 31270263
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  • id: 31270264
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  • id: 31270265
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  • id: 31270266
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  • id: 31270267
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  • id: 31270268
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  • id: 31270269
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  • id: 31270270
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  • id: 31270271
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  • id: 31270272
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  • id: 31270273
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  • id: 31270274
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  • id: 31270275
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  • id: 31270276
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  • id: 31270277
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  • id: 31270278
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  • id: 31270279
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  • id: 31270280
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  • id: 31270281
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  • id: 31270282
    {'hecke_orbit_code': 9007817763586573, 'n': 569, 'trace_an': 0}
  • id: 31270283
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  • id: 31270284
    {'hecke_orbit_code': 9007817763586573, 'n': 577, 'trace_an': 0}
  • id: 31270285
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  • id: 31270286
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  • id: 31270287
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  • id: 31270288
    {'hecke_orbit_code': 9007817763586573, 'n': 601, 'trace_an': 512}
  • id: 31270289
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  • id: 31270290
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  • id: 31270291
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  • id: 31270292
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  • id: 31270293
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  • id: 31270294
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  • id: 31270295
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  • id: 31270296
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  • id: 31270297
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  • id: 31270298
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  • id: 31270299
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  • id: 31270300
    {'hecke_orbit_code': 9007817763586573, 'n': 661, 'trace_an': 272}
  • id: 31270301
    {'hecke_orbit_code': 9007817763586573, 'n': 673, 'trace_an': 0}
  • id: 31270302
    {'hecke_orbit_code': 9007817763586573, 'n': 677, 'trace_an': 0}
  • id: 31270303
    {'hecke_orbit_code': 9007817763586573, 'n': 683, 'trace_an': 0}
  • id: 31270304
    {'hecke_orbit_code': 9007817763586573, 'n': 691, 'trace_an': 208}
  • id: 31270305
    {'hecke_orbit_code': 9007817763586573, 'n': 701, 'trace_an': 0}
  • id: 31270306
    {'hecke_orbit_code': 9007817763586573, 'n': 709, 'trace_an': 0}
  • id: 31270307
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  • id: 31270308
    {'hecke_orbit_code': 9007817763586573, 'n': 727, 'trace_an': 0}
  • id: 31270309
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  • id: 31270310
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  • id: 31270311
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  • id: 31270312
    {'hecke_orbit_code': 9007817763586573, 'n': 743, 'trace_an': 0}
  • id: 31270313
    {'hecke_orbit_code': 9007817763586573, 'n': 751, 'trace_an': 192}
  • id: 31270314
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  • id: 31270315
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  • id: 31270316
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  • id: 31270317
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  • id: 31270318
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  • id: 31270319
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  • id: 31270320
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  • id: 31270321
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  • id: 31270322
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  • id: 31270323
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  • id: 31270324
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  • id: 31270325
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  • id: 31270326
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  • id: 31270327
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  • id: 31270328
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  • id: 31270329
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  • id: 31270330
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  • id: 31270331
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  • id: 31270332
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  • id: 31270333
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  • id: 31270334
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  • id: 31270335
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  • id: 31270336
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  • id: 31270337
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  • id: 31270338
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  • id: 31270339
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  • id: 31270340
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  • id: 31270341
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  • id: 31270342
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  • id: 31270343
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  • id: 31270344
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  • id: 31270345
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  • id: 31270346
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  • id: 31270347
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  • id: 31270348
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  • id: 31270349
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  • id: 31270350
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