Embedded newform data - 495.2.ba.b.379.2

Formats: - HTML - YAML - JSON - 2024-06-15T16:49:25.946605

• 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': 1980, 'analytic_conductor': 3.952594900053379, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 55, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 27, 'char_orbit_label': 'ba', 'char_order': 10, 'char_parity': 1, 'char_values': [495, 10, [56, 397, 46], [10, 5, 6]], 'cm_discs': [], 'conrey_index': 64, 'dim': 48, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [25, 0, 425, 0, 24835, 0, -77530, 0, 103206, 0, -55339, 0, 22075, 0, -8021, 0, 2704, 0, -436, 0, 65, 0, -9, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4505386367320559, '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, 1, 11, 3, 1, 5, 0], [1, 1, 15, 4, -1, 2, 0], [1, 1, 33, 8, -1, 10, 0], [1, 1, 55, 10, 1, 10, 0], [1, 1, 165, 15, -1, 10, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '495.2.ba.b', 'level': 495, '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, 11], 'level_radical': 165, 'minimal_twist': '495.2.ba.b', 'prim_orbit_index': 10, 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '1.2.3.c10', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '495.2.ba', 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, 12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, -20, 0, 0, 40, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, -52, 0, 0, 44, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 16, 0, 0, -64, 0, 0, 0, 0, 0, -74, 0, 0, 0, 0, 0, 152, 0, 0, 28, 0, 0, 0, 0, 0, -38, 0, 0, 0, 0, 0, 40, 0, 0, -64, 0, 0, 0, 0, 0, -220, 0, 0, 0, 0, 0, -104, 0, 0, -96, 0, 0, 0, 0, 0, -78, 0, 0, 0, 0, 0, -144, 0, 0, -232, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -72, 0, 0, -40, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -8, 0, 0, 116, 0, 0, 0, 0, 0, 58, 0, 0, 0, 0, 0, -120, 0, 0, 168, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 40, 0, 0, 156, 0, 0, 0, 0, 0, 186, 0, 0, 0, 0, 0, -76, 0, 0, 216, 0, 0, 0, 0, 0, 188, 0, 0, 0, 0, 0, 76, 0, 0, 92, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 208, 0, 0, 44, 0, 0, 0, 0, 0, -138, 0, 0, 0, 0, 0, 336, 0, 0, -100, 0, 0, 0, 0, 0, -274, 0, 0, 0, 0, 0, 244, 0, 0, -204, 0, 0, 0, 0, 0, -344, 0, 0, 0, 0, 0, -84, 0, 0, -328, 0, 0, 0, 0, 0, -226, 0, 0, 0, 0, 0, -76, 0, 0, -292, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, -68, 0, 0, -100, 0, 0, 0, 0, 0, 70, 0, 0, 0, 0, 0, 40, 0, 0, 32, 0, 0, 0, 0, 0, 340, 0, 0, 0, 0, 0, -112, 0, 0, 524, 0, 0, 0, 0, 0, 212, 0, 0, 0, 0, 0, 172, 0, 0, 188, 0, 0, 0, 0, 0, 190, 0, 0, 0, 0, 0, -308, 0, 0, 1064, 0, 0, 0, 0, 0, 322, 0, 0, 0, 0, 0, -176, 0, 0, 96, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -32, 0, 0, -268, 0, 0, 0, 0, 0, -262, 0, 0, 0, 0, 0, 8, 0, 0, -168, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 76, 0, 0, -520, 0, 0, 0, 0, 0, -580, 0, 0, 0, 0, 0, -52, 0, 0, -440, 0, 0, 0, 0, 0, -202, 0, 0, 0, 0, 0, -212, 0, 0, -772, 0, 0, 0, 0, 0, 246, 0, 0, 0, 0, 0, -208, 0, 0, -324, 0, 0, 0, 0, 0, -26, 0, 0, 0, 0, 0, -200, 0, 0, 68, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -96, 0, 0, 152, 0, 0, 0, 0, 0, -204, 0, 0, 0, 0, 0, -4, 0, 0, 336, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 168, 0, 0, 520, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 340, 0, 0, 212, 0, 0, 0, 0, 0, -162, 0, 0, 0, 0, 0, 292, 0, 0, -148, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 336, 0, 0, 212, 0, 0, 0, 0, 0, -316, 0, 0, 0, 0, 0, 432, 0, 0, -208, 0, 0, 0, 0, 0, -496, 0, 0, 0, 0, 0, 56, 0, 0, -416, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -244, 0, 0, -460, 0, 0, 0, 0, 0, 334, 0, 0, 0, 0, 0, -216, 0, 0, -264, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 0, 60, 0, 0, 172, 0, 0, 0, 0, 0, 178, 0, 0, 0, 0, 0, -344, 0, 0, 740, 0, 0, 0, 0, 0, 648, 0, 0, 0, 0, 0, -604, 0, 0, 624, 0, 0, 0, 0, 0, 392, 0, 0, 0, 0, 0, 280, 0, 0, 1096, 0, 0, 0, 0, 0, 340, 0, 0, 0, 0, 0, -132, 0, 0, 552, 0, 0, 0, 0, 0, 398, 0, 0, 0, 0, 0, -260, 0, 0, -572, 0, 0, 0, 0, 0, -500, 0, 0, 0, 0, 0, 64, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, -812, 0, 0, 0, 0, 0, -756, 0, 0, 0, 0, 0, 148, 0, 0, -376, 0, 0, 0, 0, 0, -138, 0, 0, 0, 0, 0, 248, 0, 0, -824, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, -32, 0, 0, -156, 0, 0, 0, 0, 0, -226, 0, 0, 0, 0, 0, -224, 0, 0, -428, 0, 0, 0, 0, 0, 366, 0, 0, 0, 0, 0, -248, 0, 0, 708, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 124, 0, 0, 432, 0, 0, 0, 0, 0, 290, 0, 0, 0, 0, 0, 508, 0, 0, 792, 0, 0, 0, 0, 0, 98, 0, 0, 0, 0, 0, -248, 0, 0, 836, 0, 0, 0, 0, 0, -362, 0, 0, 0, 0, 0, 764, 0, 0, -496, 0, 0, 0, 0, 0, -124, 0, 0, 0, 0, 0, 648, 0, 0, -128, 0, 0, 0, 0, 0, -326, 0, 0, 0, 0, 0, 300, 0, 0, -112, 0, 0, 0, 0, 0, -332, 0, 0, 0, 0, 0, 596, 0, 0, -128, 0, 0, 0, 0, 0, -400, 0, 0, 0, 0, 0, 436, 0, 0, -544, 0, 0, 0, 0, 0, 182, 0, 0, 0, 0, 0, -208, 0, 0, -872, 0, 0, 0, 0, 0, 234, 0, 0, 0, 0, 0, -464, 0, 0, 164, 0, 0, 0, 0, 0, 466, 0, 0, 0, 0, 0, -416, 0, 0, 504, 0, 0, 0, 0, 0, 604], '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], [-1.6456163230344585, 0.5346931557962685], [0.0, 0.0], [1.6131393174071313, -1.1720143176938196], [0.0014116376439870797, -0.9999990036390847], [0.0, 0.0], [0.07845864706281704, 0.10798906332189011], [-1.0108935378107993, 1.3913755889639268], [0.0, 0.0], [0.5323696090997514, 1.646369476393377], [-0.11863362153914034, 0.9929380966810106], [0.0, 0.0], [0.9725799384521302, -0.3160103781640849], [-0.18685384334883579, -0.13575726371418084], [0.0, 0.0], [0.30341951144976975, -0.9338292352467147], [0.3342194570534961, 0.10859448446094884], [0.0, 0.0], [0.017264881961961537, 0.012543670986357692], [-1.1697359817591135, -1.614792169668313], [0.0, 0.0], [-0.33569178035920827, -1.6974277251453416], [0.0, -1.0143032347126981], [0.0, 0.0], [-0.9999960145583242, -0.002823272474973009], [-1.431524835807748, 1.0400636731102202], [0.0, 0.0], [0.25312945673519943, 0.0822467461900016], [1.0055303010213823, -0.7305605268900667], [0.0, 0.0], [-0.2182402673540255, -0.6716744779842102], [0.0, -0.020873841637201018], [0.0, 0.0], [-0.608061721601441, 0.0], [0.1080997109054983, -0.07830612746276355], [0.0, 0.0], [-0.7527106649183966, -1.0360173505395167], [-0.03511838659683278, -0.011410655505232677], [0.0, 0.0], [1.3899471872796343, 1.0128566487542947], [1.0785219223825007, 0.7835920439969837], [0.0, 0.0], [0.0, 1.2403885384393776], [0.9723651066226097, 1.740787786511284], [0.0, 0.0], [0.5423409975028958, 1.6691539595498674], [0.6633696206534239, -0.9130499524571934], [0.0, 0.0], [0.3035111158767359, -0.9341111646835208], [1.6471193489958984, -0.5300450015386922], [0.0, 0.0], [1.1985382502903934, -1.6496463786928517], [1.732360725210927, -0.5628781206013517], [0.0, 0.0], [0.9927696396702926, 0.12003517213266039], [-0.2295666858823376, 0.0], [0.0, 0.0], [-1.2640913630435051, 1.739872497916843], [-0.9357338061811088, 0.6798504050829012], [0.0, 0.0], [0.39458486554651717, -1.2144073447110266], [0.7182794926023772, 0.9886269074631201], [0.0, 0.0], [0.31458061170835633, 0.9681795697693291], [-0.3146371328507896, -0.9730250615571996], [0.0, 0.0], [0.0, -0.7683085699459065], [0.6664168374262698, -0.2165319563810377], [0.0, 0.0], [-0.1360208983701442, 0.18666201711106578], [0.03718635129387598, -0.11444782118477778], [0.0, 0.0], [0.7243277744281146, 0.9969516532179793], [1.7926243433314972, 1.302417822168016], [0.0, 0.0], [0.0425520218956851, 0.0], [-0.11653428843932592, 0.06509344601422534], [0.0, 0.0], [-0.043494822729769886, -0.1338632998677688], [-0.9333999864114805, -0.30473743763595756], [0.0, 0.0], [-2.1938145830847424, -0.7128135679272145], [-1.258447695374393, -0.4088944429060488], [0.0, 0.0], [0.10906617302857854, -0.33406582798809753], [-0.6632272620316719, -2.0412036257606947], [0.0, 0.0], [-1.2616238676932525, -1.1688186304209331], [-0.3754297815981432, 0.0], [0.0, 0.0], [0.11043297086932781, 0.08023424983054381], [-1.188777913566437, -1.636212427688287], [0.0, 0.0], [-0.6034503154734813, 1.8572291014359465], [0.012568030245630683, -0.017247157641749812], [0.0, 0.0], [1.6143035083038082, -0.5245190055457883], [0.0, 1.69947389649931], [0.0, 0.0], [-1.616441804097886, 1.1674553148659808], [-0.2639414317077255, -0.8123281991453332], [0.0, 0.0], [0.6038896534489323, 0.8311828009667128], [-0.5434856487489165, 1.6726768338455527], [0.0, 0.0], [-2.5498340081579043, 1.8525628462810857], [0.16787258023714538, -0.23105678438125335], [0.0, 0.0], [-0.6133097969741621, 0.0], [-1.6978999090486318, 0.33329529301427624], [0.0, 0.0], [0.12464922877769956, -0.04050098955011618], [-0.6779173995807668, 0.9330732523557997], [0.0, 0.0], [-1.0143022241005988, -0.001431828628538307], [0.7658330659647213, -2.356991819344073], [0.0, 0.0], [1.176347466903647, -1.619103385638242], [0.014495389763625171, 0.04461222244044788], [0.0, 0.0], [-0.971852127681016, -0.2355916847468987], [0.0, 2.2094303762579135], [0.0, 0.0], [-1.1392640609372389, -0.8277237908989952], [-0.004234901679962244, 0.9999910327636748], [0.0, 0.0], [-1.2083308424010095, -0.39261049026178785], [-1.0230886428018369, -1.4081607109918386], [0.0, 0.0], [1.0380418424848983, 1.4329916025254579], [0.5690668226570461, 0.0], [0.0, 0.0], [0.0, 0.002848577886225959], [0.4108093338896948, 1.2643411238302456], [0.0, 0.0], [-0.4889560041210998, 0.35524733131754355], [-0.40944737590982255, -0.13303751700398017], [0.0, 0.0], [0.7262397921836131, -0.5276440945511702], [0.08260399131248769, -0.25301310192388493], [0.0, 0.0], [0.0, 0.20822049020327044], [0.19839806309080243, 1.0032011285623514], [0.0, 0.0], [-0.72914035456302, -1.0065605858912603], [-1.7250288344615552, -1.2533068102718394], [0.0, 0.0], [-2.4284543364230604, -0.7890526453060649], [0.06123177262042575, -0.18845201854594276], [0.0, 0.0], [0.7748630484606019, 0.5629709580865062], [-0.0349059152128263, 0.011341619367683107], [0.0, 0.0], [0.15696570717796035, -0.16942892372766732], [-0.6719818849308432, 0.21729188893032506], [0.0, 0.0], [-0.8000371856944428, 1.1011567180944701], [0.14315158050319904, 0.1970312472914769], [0.0, 0.0], [-0.02087382083932106, -2.946630062969785e-05], [0.10953365624098751, -0.07958085950699725], [0.0, 0.0], [1.8706749806012444, -0.6078191464474543], [2.6581872124761645, 0.0], [0.0, 0.0], [2.2895551292581895, 0.0], [-1.2992993674422664, 0.42216795578494853], [0.0, 0.0], [0.0370321831971941, -0.026905455997647047], [-0.0008583628160801857, 0.6080611157525074], [0.0, 0.0], [1.4537531265542611, 2.000919520217727], [-0.10585132843853338, 0.14569185472065352], [0.0, 0.0], [-0.07815345182038039, -0.10821014307645269], [0.8912388679820338, 0.4120603362712601], [0.0, 0.0], [0.6178133767511663, -0.20073973470261508], [0.11740921133746482, 0.08530278521623737], [0.0, 0.0], [0.3510639538327472, -1.0804637512066992], [-0.2246310037085944, -0.07298703748948934], [0.0, 0.0], [1.4112767605863963, 1.0253525853516567], [-1.0370788730019502, 0.7512474338550641], [0.0, 0.0], [-0.14747726528981156, 0.3189762745896809], [0.0, -2.250355470394341], [0.0, 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0.04264344599682063, -0.3746018128808628, -0.003709377897981248, -0.17733034217200924, -0.041730461489247965, -0.16657498574571566, -0.14075270733911488, -0.4469405147307177, -0.4296972886011505, -0.43217258826876087, -0.3413397812713075, -0.3471546449443861, -0.4337307198296918, -0.46570106926116833, -0.13085348751353773, -0.33485665192359904, -0.1500502748489166, -0.2500107710605192, -0.29672286695875183, -0.14124218229972524, -0.3728770570475017, -0.25138044858895087, -0.35567575306980587, -0.23893331243888632, 0.13771605875720602, -0.017283731420812475, -0.1256285749013669, -0.41383866184832924, 0.3103502206510815, -0.4796362648607362, -0.16257273253384344, -0.08784350722553376, -0.18809727328420184, -0.23257097074895514, -0.273253211084917, -0.08391896525454243, -0.3956402647318699, -0.41161319727067563, -0.15550623510453676, -0.31372410501073716, -0.4625178524707758, -0.1842614676490972, -0.3087923953388348, -0.32718088881111695, -0.3473953011072886, -0.2286080756701982, -0.2167083568559648, -0.31088126722680764, 0.12165135460177198, -0.19866549933841995, -0.21059398309525218, 0.20441115138936433, -0.3633012219503703, -0.39543131439178436, -0.07369599306830522, -0.12537381777967627, 0.07981918830213927, -0.4512486702408294, -0.3917421301526391, -0.2155598093027347, 0.14006477317368107, -0.46579834456432245, -0.019493016053158806, 0.14397443482047606, -0.07080316073073316, -0.1920351737636725, -0.08557003167579964, -0.4075361708809028, -0.024980475844879023], 'char_orbit_index': 27, 'conrey_index': 379, 'dual_conrey_index': 64, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 38, 'hecke_orbit': 2, 'hecke_orbit_code': 4505386367320559, 'label': '495.2.ba.b.379.2', 'level': 495, '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': 1980, 'analytic_conductor': 3.952594900053379, 'char_conductor': 55, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 27, 'char_orbit_label': 'ba', 'char_order': 10, 'char_parity': 1, 'char_values': [495, 10, [56, 397, 46], [10, 5, 6]], 'conrey_index': 64, 'cusp_dim': 256, 'dim': 112, 'eis_dim': 64, 'eis_new_dim': 16, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 1786739950063, 'hecke_orbit_dims': [16, 48, 48], 'label': '495.2.ba', 'level': 495, '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, 11], 'level_radical': 165, 'mf_dim': 320, 'mf_new_dim': 128, 'num_forms': 3, 'prim_orbit_index': 10, 'relative_dim': 28, 'sturm_bound': 144, 'trace_bound': 5, 'trace_display': [0, 0, 6, 0], 'traces': [112, 0, 0, 20, 6, 0, 0, 0, 0, -24, 6, 0, 0, 16, 0, -56, 0, 0, -10, -38, 0, 0, 0, 0, 20, 36, 0, 0, -2, 0, -32, 0, 0, 0, 18, 0, 0, 0, 0, -8, -8, 0, 0, 44, 0, -6, 0, 0, 6, 10, 0, 0, 0, 0, 32, -4, 0, 0, -62, 0, 16, 0, 0, -8, 20, 0, 0, 0, 0, -22, -4, 0, 0, -16, 0, 72, 0, 0, 14, -76, 0, 0, 0, 0, -50, 82, 0, 0, -64, 0, -20, 0, 0, 22, -46, 0, 0, 0, 0, -124, -10, 0, 0, -76, 0, -94, 0, 0, -28, -80, 0, 0, 0, 0, -12, -98, 0, 0, 58, 0, -150, 0, 0, -128, 96, 0, 0, 0, 0, 160, -188, 0, 0, 6, 0, -146, 0, 0, -32, 186, 0, 0, 0, 0, 42, -130, 0, 0, 82, 0, 26, 0, 0, 66, 160, 0, 0, 0, 0, -54, 44, 0, 0, 252, 0, -164, 0, 0, 88, 128, 0, 0, 0, 0, 40, 160, 0, 0, 236, 0, 8, 0, 0, 236, -98, 0, 0, 0, 0, 96, 34, 0, 0, 66, 0, 50, 0, 0, 48, -106, 0, 0, 0, 0, 170, -10, 0, 0, -96, 0, 88, 0, 0, 62, -110, 0, 0, 0, 0, 216, 56, 0, 0, -322, 0, 30, 0, 0, 62, -136, 0, 0, 0, 0, -156, -24, 0, 0, -232, 0, 128, 0, 0, -182, -210, 0, 0, 0, 0, -250, 94, 0, 0, -396, 0, 328, 0, 0, -166, -216, 0, 0, 0, 0, -152, 50, 0, 0, -32, 0, -22, 0, 0, -344, -76, 0, 0, 0, 0, -220, 38, 0, 0, 68, 0, 196, 0, 0, -162, 256, 0, 0, 0, 0, -2, -304, 0, 0, 6, 0, 112, 0, 0, 46, 112, 0, 0, 0, 0, -162, -100, 0, 0, 310, 0, 66, 0, 0, 12, 488, 0, 0, 0, 0, 308, 186, 0, 0, 244, 0, -64, 0, 0, 458, 54, 0, 0, 0, 0, 100, 206, 0, 0, 586, 0, 344, 0, 0, 118, -194, 0, 0, 0, 0, 34, 232, 0, 0, 132, 0, -262, 0, 0, 612, -4, 0, 0, 0, 0, 250, 228, 0, 0, -8, 0, -356, 0, 0, 148, -204, 0, 0, 0, 0, -86, 140, 0, 0, -256, 0, 28, 0, 0, -208, 80, 0, 0, 0, 0, -110, -10, 0, 0, -348, 0, 104, 0, 0, -76, -248, 0, 0, 0, 0, 48, -28, 0, 0, -596, 0, -70, 0, 0, -420, -150, 0, 0, 0, 0, -264, -74, 0, 0, -304, 0, 48, 0, 0, -248, 28, 0, 0, 0, 0, -166, -340, 0, 0, 110, 0, -142, 0, 0, -518, 152, 0, 0, 0, 0, 140, -356, 0, 0, 8, 0, -200, 0, 0, -154, 266, 0, 0, 0, 0, 118, -176, 0, 0, 174, 0, -272, 0, 0, -54, 472, 0, 0, 0, 0, -132, -210, 0, 0, 216, 0, 160, 0, 0, -98, 212, 0, 0, 0, 0, -244, -228, 0, 0, 386, 0, -260, 0, 0, -80, -206, 0, 0, 0, 0, 442, -46, 0, 0, 292, 0, 2, 0, 0, 308, -202, 0, 0, 0, 0, -126, -38, 0, 0, 42, 0, 344, 0, 0, -238, -268, 0, 0, 0, 0, -200, 224, 0, 0, -532, 0, 284, 0, 0, 118, -184, 0, 0, 0, 0, -108, 180, 0, 0, -248, 0, -76, 0, 0, 358, -366, 0, 0, 0, 0, -62, 52, 0, 0, -968, 0, 80, 0, 0, 16, -222, 0, 0, 0, 0, -272, 212, 0, 0, -126, 0, -202, 0, 0, -108, -34, 0, 0, 0, 0, 256, 162, 0, 0, 468, 0, -698, 0, 0, -182, 302, 0, 0, 0, 0, 376, 268, 0, 0, 352, 0, -164, 0, 0, -78, 88, 0, 0, 0, 0, 450, -48, 0, 0, 470, 0, 94, 0, 0, 292, 560, 0, 0, 0, 0, -10, -154, 0, 0, 492, 0, -464, 0, 0, 300, 250, 0, 0, 0, 0, 636, 2, 0, 0, 654, 0, -522, 0, 0, 582, -230, 0, 0, 0, 0, 280, 188, 0, 0, 402, 0, 438, 0, 0, 588, 132, 0, 0, 0, 0, 272, 40, 0, 0, -390, 0, 72, 0, 0, 362, -58, 0, 0, 0, 0, 394, 500, 0, 0, -260, 0, -284, 0, 0, -362, -8, 0, 0, 0, 0, -412, -108, 0, 0, -144, 0, 476, 0, 0, -290, -354, 0, 0, 0, 0, -106, -398, 0, 0, -692, 0, 368, 0, 0, -490, -12, 0, 0, 0, 0, -444, -246, 0, 0, -528, 0, 94, 0, 0, -168, 162, 0, 0, 0, 0, -84, -322, 0, 0, 142, 0, 612, 0, 0, -322, 366, 0, 0, 0, 0, -354, -340, 0, 0, -174, 0, 322, 0, 0, -204, 126, 0, 0, 0, 0, -440, -424, 0, 0, 308, 0, -12, 0, 0, -286, 344, 0, 0, 0, 0, 586, -90, 0, 0, 572, 0, 292, 0, 0, 596, 104, 0, 0, 0, 0, -196, 24, 0, 0, 306, 0, 570, 0, 0, 52, -202, 0, 0, 0, 0, -172, 68, 0, 0, 216, 0, 184, 0, 0, 668, -86, 0, 0, 0, 0, 110, 126, 0, 0, -24, 0, -378, 0, 0, 908, -388, 0, 0, 0, 0, -460, 504, 0, 0, -590, 0, 440, 0, 0, -578, -632, 0, 0, 0, 0, -10, 308, 0, 0, -540, 0, 464, 0, 0, 308, -398, 0, 0, 0, 0, -14, 44, 0, 0, -1200, 0, -122, 0, 0, -208, -340, 0, 0, 0, 0, -440, 278, 0, 0, -310, 0, 680, 0, 0, 28, 10, 0, 0, 0, 0, -554, 150, 0, 0, 746, 0, 258, 0, 0, -522, 294, 0, 0, 0, 0, -28, 416, 0, 0, 10, 0, -128, 0, 0, -998, -28, 0, 0, 0, 0, 338, -194, 0, 0, 730, 0, -612, 0, 0, -198, 720, 0, 0, 0, 0, 208, 98, 0, 0, -168, 0, -132, 0, 0, -102, 192, 0, 0, 0, 0, -248], '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: 38403562
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 379, 'source_dim': 48, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4505386367320559, 'source_is_minimal': True, 'source_label': '495.2.ba.b.379.2', 'source_level': 495, 'target_conrey_index': 379, 'target_dim': 48, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4505386367320559, 'target_is_minimal': True, 'target_label': '495.2.ba.b.379.2', 'target_level': 495, 'twist_class_label': '495.2.ba.b.64.1', 'twist_class_level': 495, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 38403563
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 379, 'source_dim': 48, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4505386367320559, 'source_is_minimal': True, 'source_label': '495.2.ba.b.379.2', 'source_level': 495, 'target_conrey_index': 379, 'target_dim': 48, 'target_embedding_index': 11, 'target_hecke_orbit_code': 4505386367320559, 'target_is_minimal': True, 'target_label': '495.2.ba.b.379.11', 'target_level': 495, 'twist_class_label': '495.2.ba.b.64.1', 'twist_class_level': 495, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 38403564
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 379, 'source_dim': 48, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4505386367320559, 'source_is_minimal': True, 'source_label': '495.2.ba.b.379.2', 'source_level': 495, 'target_conrey_index': 379, 'target_dim': 48, 'target_embedding_index': 12, 'target_hecke_orbit_code': 4505386367320559, 'target_is_minimal': True, 'target_label': '495.2.ba.b.379.12', 'target_level': 495, 'twist_class_label': '495.2.ba.b.64.1', 'twist_class_level': 495, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 38403565
    {'conductor': 11, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 379, 'source_dim': 48, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4505386367320559, 'source_is_minimal': True, 'source_label': '495.2.ba.b.379.2', 'source_level': 495, 'target_conrey_index': 64, 'target_dim': 48, 'target_embedding_index': 12, 'target_hecke_orbit_code': 4505386367320559, 'target_is_minimal': True, 'target_label': '495.2.ba.b.64.12', 'target_level': 495, 'twist_class_label': '495.2.ba.b.64.1', 'twist_class_level': 495, 'twisting_char_label': '11.9', 'twisting_conrey_index': 9, 'weight': 2}
  • id: 38403566
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 379, 'source_dim': 48, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4505386367320559, 'source_is_minimal': True, 'source_label': '495.2.ba.b.379.2', 'source_level': 495, 'target_conrey_index': 379, 'target_dim': 48, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4505386367320559, 'target_is_minimal': True, 'target_label': '495.2.ba.b.379.1', 'target_level': 495, 'twist_class_label': '495.2.ba.b.64.1', 'twist_class_level': 495, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 38403567
    {'conductor': 33, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 379, 'source_dim': 48, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4505386367320559, 'source_is_minimal': True, 'source_label': '495.2.ba.b.379.2', 'source_level': 495, 'target_conrey_index': 64, 'target_dim': 48, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4505386367320559, 'target_is_minimal': True, 'target_label': '495.2.ba.b.64.1', 'target_level': 495, 'twist_class_label': '495.2.ba.b.64.1', 'twist_class_level': 495, 'twisting_char_label': '33.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 38403568
    {'conductor': 55, 'degree': 4, 'order': 10, 'parity': 1, 'source_conrey_index': 379, 'source_dim': 48, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4505386367320559, 'source_is_minimal': True, 'source_label': '495.2.ba.b.379.2', 'source_level': 495, 'target_conrey_index': 64, 'target_dim': 48, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4505386367320559, 'target_is_minimal': True, 'target_label': '495.2.ba.b.64.2', 'target_level': 495, 'twist_class_label': '495.2.ba.b.64.1', 'twist_class_level': 495, 'twisting_char_label': '55.9', 'twisting_conrey_index': 9, 'weight': 2}
  • id: 38403569
    {'conductor': 165, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 379, 'source_dim': 48, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4505386367320559, 'source_is_minimal': True, 'source_label': '495.2.ba.b.379.2', 'source_level': 495, 'target_conrey_index': 64, 'target_dim': 48, 'target_embedding_index': 11, 'target_hecke_orbit_code': 4505386367320559, 'target_is_minimal': True, 'target_label': '495.2.ba.b.64.11', 'target_level': 495, 'twist_class_label': '495.2.ba.b.64.1', 'twist_class_level': 495, 'twisting_char_label': '165.119', 'twisting_conrey_index': 119, 'weight': 2}
• hecke_orbit_code 4505386367320559 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': 27, 'hecke_orbit': 2, 'label': '495.2.ba.b', 'level': 495, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25070353
    {'hecke_orbit_code': 4505386367320559, 'n': 1, 'trace_an': 48}
  • id: 25070354
    {'hecke_orbit_code': 4505386367320559, 'n': 2, 'trace_an': 0}
  • id: 25070355
    {'hecke_orbit_code': 4505386367320559, 'n': 3, 'trace_an': 0}
  • id: 25070356
    {'hecke_orbit_code': 4505386367320559, 'n': 4, 'trace_an': 12}
  • id: 25070357
    {'hecke_orbit_code': 4505386367320559, 'n': 5, 'trace_an': 0}
  • id: 25070358
    {'hecke_orbit_code': 4505386367320559, 'n': 6, 'trace_an': 0}
  • id: 25070359
    {'hecke_orbit_code': 4505386367320559, 'n': 7, 'trace_an': 0}
  • id: 25070360
    {'hecke_orbit_code': 4505386367320559, 'n': 8, 'trace_an': 0}
  • id: 25070361
    {'hecke_orbit_code': 4505386367320559, 'n': 9, 'trace_an': 0}
  • id: 25070362
    {'hecke_orbit_code': 4505386367320559, 'n': 10, 'trace_an': -12}
  • id: 25070363
    {'hecke_orbit_code': 4505386367320559, 'n': 11, 'trace_an': 0}
  • id: 25070364
    {'hecke_orbit_code': 4505386367320559, 'n': 12, 'trace_an': 0}
  • id: 25070365
    {'hecke_orbit_code': 4505386367320559, 'n': 13, 'trace_an': 0}
  • id: 25070366
    {'hecke_orbit_code': 4505386367320559, 'n': 14, 'trace_an': 0}
  • id: 25070367
    {'hecke_orbit_code': 4505386367320559, 'n': 15, 'trace_an': 0}
  • id: 25070368
    {'hecke_orbit_code': 4505386367320559, 'n': 16, 'trace_an': -28}
  • id: 25070369
    {'hecke_orbit_code': 4505386367320559, 'n': 17, 'trace_an': 0}
  • id: 25070370
    {'hecke_orbit_code': 4505386367320559, 'n': 18, 'trace_an': 0}
  • id: 25070371
    {'hecke_orbit_code': 4505386367320559, 'n': 19, 'trace_an': 0}
  • id: 25070372
    {'hecke_orbit_code': 4505386367320559, 'n': 20, 'trace_an': 0}
  • id: 25070373
    {'hecke_orbit_code': 4505386367320559, 'n': 21, 'trace_an': 0}
  • id: 25070374
    {'hecke_orbit_code': 4505386367320559, 'n': 22, 'trace_an': 0}
  • id: 25070375
    {'hecke_orbit_code': 4505386367320559, 'n': 23, 'trace_an': 0}
  • id: 25070376
    {'hecke_orbit_code': 4505386367320559, 'n': 24, 'trace_an': 0}
  • id: 25070377
    {'hecke_orbit_code': 4505386367320559, 'n': 25, 'trace_an': 22}
  • id: 25070378
    {'hecke_orbit_code': 4505386367320559, 'n': 26, 'trace_an': 0}
  • id: 25070379
    {'hecke_orbit_code': 4505386367320559, 'n': 27, 'trace_an': 0}
  • id: 25070380
    {'hecke_orbit_code': 4505386367320559, 'n': 28, 'trace_an': 0}
  • id: 25070381
    {'hecke_orbit_code': 4505386367320559, 'n': 29, 'trace_an': 0}
  • id: 25070382
    {'hecke_orbit_code': 4505386367320559, 'n': 30, 'trace_an': 0}
  • id: 25070383
    {'hecke_orbit_code': 4505386367320559, 'n': 31, 'trace_an': -20}
  • id: 25070384
    {'hecke_orbit_code': 4505386367320559, 'n': 32, 'trace_an': 0}
  • id: 25070385
    {'hecke_orbit_code': 4505386367320559, 'n': 33, 'trace_an': 0}
  • id: 25070386
    {'hecke_orbit_code': 4505386367320559, 'n': 34, 'trace_an': 40}
  • id: 25070387
    {'hecke_orbit_code': 4505386367320559, 'n': 35, 'trace_an': 0}
  • id: 25070388
    {'hecke_orbit_code': 4505386367320559, 'n': 36, 'trace_an': 0}
  • id: 25070389
    {'hecke_orbit_code': 4505386367320559, 'n': 37, 'trace_an': 0}
  • id: 25070390
    {'hecke_orbit_code': 4505386367320559, 'n': 38, 'trace_an': 0}
  • id: 25070391
    {'hecke_orbit_code': 4505386367320559, 'n': 39, 'trace_an': 0}
  • id: 25070392
    {'hecke_orbit_code': 4505386367320559, 'n': 40, 'trace_an': 52}
  • id: 25070393
    {'hecke_orbit_code': 4505386367320559, 'n': 41, 'trace_an': 0}
  • id: 25070394
    {'hecke_orbit_code': 4505386367320559, 'n': 42, 'trace_an': 0}
  • id: 25070395
    {'hecke_orbit_code': 4505386367320559, 'n': 43, 'trace_an': 0}
  • id: 25070396
    {'hecke_orbit_code': 4505386367320559, 'n': 44, 'trace_an': 0}
  • id: 25070397
    {'hecke_orbit_code': 4505386367320559, 'n': 45, 'trace_an': 0}
  • id: 25070398
    {'hecke_orbit_code': 4505386367320559, 'n': 46, 'trace_an': -52}
  • id: 25070399
    {'hecke_orbit_code': 4505386367320559, 'n': 47, 'trace_an': 0}
  • id: 25070400
    {'hecke_orbit_code': 4505386367320559, 'n': 48, 'trace_an': 0}
  • id: 25070401
    {'hecke_orbit_code': 4505386367320559, 'n': 49, 'trace_an': 44}
  • id: 25070402
    {'hecke_orbit_code': 4505386367320559, 'n': 50, 'trace_an': 0}
  • id: 25070403
    {'hecke_orbit_code': 4505386367320559, 'n': 51, 'trace_an': 0}
  • id: 25070404
    {'hecke_orbit_code': 4505386367320559, 'n': 52, 'trace_an': 0}
  • id: 25070405
    {'hecke_orbit_code': 4505386367320559, 'n': 53, 'trace_an': 0}
  • id: 25070406
    {'hecke_orbit_code': 4505386367320559, 'n': 54, 'trace_an': 0}
  • id: 25070407
    {'hecke_orbit_code': 4505386367320559, 'n': 55, 'trace_an': 60}
  • id: 25070408
    {'hecke_orbit_code': 4505386367320559, 'n': 56, 'trace_an': 0}
  • id: 25070409
    {'hecke_orbit_code': 4505386367320559, 'n': 57, 'trace_an': 0}
  • id: 25070410
    {'hecke_orbit_code': 4505386367320559, 'n': 58, 'trace_an': 0}
  • id: 25070411
    {'hecke_orbit_code': 4505386367320559, 'n': 59, 'trace_an': 0}
  • id: 25070412
    {'hecke_orbit_code': 4505386367320559, 'n': 60, 'trace_an': 0}
  • id: 25070413
    {'hecke_orbit_code': 4505386367320559, 'n': 61, 'trace_an': 16}
  • id: 25070414
    {'hecke_orbit_code': 4505386367320559, 'n': 62, 'trace_an': 0}
  • id: 25070415
    {'hecke_orbit_code': 4505386367320559, 'n': 63, 'trace_an': 0}
  • id: 25070416
    {'hecke_orbit_code': 4505386367320559, 'n': 64, 'trace_an': -64}
  • id: 25070417
    {'hecke_orbit_code': 4505386367320559, 'n': 65, 'trace_an': 0}
  • id: 25070418
    {'hecke_orbit_code': 4505386367320559, 'n': 66, 'trace_an': 0}
  • id: 25070419
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  • id: 25070420
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  • id: 25070421
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  • id: 25070422
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  • id: 25070423
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  • id: 25070424
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  • id: 25070425
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  • id: 25070426
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  • id: 25070427
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  • id: 25070428
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  • id: 25070429
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  • id: 25070430
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  • id: 25070431
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  • id: 25070432
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  • id: 25070433
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  • id: 25070434
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  • id: 25070435
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  • id: 25070436
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  • id: 25070437
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  • id: 25070438
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  • id: 25070439
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  • id: 25070440
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  • id: 25070441
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  • id: 25070442
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  • id: 25070443
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  • id: 25070444
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  • id: 25070445
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  • id: 25070446
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  • id: 25070447
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  • id: 25070448
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  • id: 25070449
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  • id: 25070450
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  • id: 25070451
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  • id: 25070452
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  • id: 25070453
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  • id: 25070454
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  • id: 25070455
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  • id: 25070456
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  • id: 25070457
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  • id: 25070458
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  • id: 25070459
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  • id: 25070460
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  • id: 25070461
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  • id: 25070462
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  • id: 25070463
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  • id: 25070464
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  • id: 25070465
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  • id: 25070466
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  • id: 25070467
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  • id: 25070468
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  • id: 25070469
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  • id: 25070470
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  • id: 25070471
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  • id: 25070472
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  • id: 25070473
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  • id: 25070474
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  • id: 25070475
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  • id: 25070476
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  • id: 25070477
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  • id: 25070478
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  • id: 25070479
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  • id: 25070480
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  • id: 25070481
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  • id: 25070482
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  • id: 25070483
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  • id: 25070484
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  • id: 25070485
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  • id: 25070486
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  • id: 25070487
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  • id: 25070488
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  • id: 25070489
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  • id: 25070490
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  • id: 25070491
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  • id: 25070492
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  • id: 25070493
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  • id: 25070494
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  • id: 25070495
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  • id: 25070496
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  • id: 25070497
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  • id: 25070498
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  • id: 25070499
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  • id: 25070500
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  • id: 25070501
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  • id: 25070502
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  • id: 25070503
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  • id: 25070504
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  • id: 25070505
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  • id: 25070506
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  • id: 25070507
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  • id: 25070508
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  • id: 25070509
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  • id: 25070510
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  • id: 25070511
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  • id: 25070512
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  • id: 25070513
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  • id: 25070514
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  • id: 25070515
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  • id: 25070516
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  • id: 25070517
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  • id: 25070518
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  • id: 25070519
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  • id: 25070520
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  • id: 25070521
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  • id: 25070522
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  • id: 25070523
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  • id: 25070524
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  • id: 25070525
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  • id: 25070526
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  • id: 25070527
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  • id: 25070528
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  • id: 25070529
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  • id: 25070530
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  • id: 25070531
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  • id: 25070532
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  • id: 25070533
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  • id: 25070534
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  • id: 25070535
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  • id: 25070536
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  • id: 25070537
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  • id: 25070538
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  • id: 25070539
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  • id: 25070540
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  • id: 25070541
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  • id: 25070542
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  • id: 25070543
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  • id: 25070544
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  • id: 25070545
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  • id: 25070546
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  • id: 25070547
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  • id: 25070548
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  • id: 25070549
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  • id: 25070550
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  • id: 25070551
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  • id: 25070552
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  • id: 25070553
    {'hecke_orbit_code': 4505386367320559, 'n': 625, 'trace_an': 334}
  • id: 25070554
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  • id: 25070555
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  • id: 25070556
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  • id: 25070557
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  • id: 25070558
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  • id: 25070559
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  • id: 25070560
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  • id: 25070561
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  • id: 25070562
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  • id: 25070563
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  • id: 25070564
    {'hecke_orbit_code': 4505386367320559, 'n': 691, 'trace_an': 280}
  • id: 25070565
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  • id: 25070566
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  • id: 25070567
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  • id: 25070568
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  • id: 25070569
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  • id: 25070570
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  • id: 25070571
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  • id: 25070572
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  • id: 25070573
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  • id: 25070574
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  • id: 25070575
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  • id: 25070576
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  • id: 25070577
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  • id: 25070578
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  • id: 25070579
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  • id: 25070580
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  • id: 25070581
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  • id: 25070582
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  • id: 25070583
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  • id: 25070584
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  • id: 25070585
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  • id: 25070586
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  • id: 25070587
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  • id: 25070588
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  • id: 25070589
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  • id: 25070590
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  • id: 25070591
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  • id: 25070592
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  • id: 25070593
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  • id: 25070594
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  • id: 25070595
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  • id: 25070596
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  • id: 25070597
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  • id: 25070598
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  • id: 25070599
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  • id: 25070600
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  • id: 25070601
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  • id: 25070602
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  • id: 25070603
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  • id: 25070604
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  • id: 25070605
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  • id: 25070606
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  • id: 25070607
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  • id: 25070608
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  • id: 25070609
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  • id: 25070610
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