Embedded newform data - 735.2.g.c.734.10

Formats: - HTML - YAML - JSON - 2025-01-31T07:46:44.188895

• 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': 2940, 'analytic_conductor': 5.869004548564108, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 105, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 2, 'char_parity': 1, 'char_values': [735, 2, [491, 442, 346], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 734, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [2, 0, -20, 0, 29, 0, -10, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007611605156575, '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, 7, 2, -1, 2, 0], [1, 1, 15, 4, -1, 2, 0], [1, 1, 21, 3, 1, 2, 0], [1, 1, 35, 3, -1, 2, 0], [1, 1, 105, 7, 1, 2, 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': '735.2.g.c', 'level': 735, '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': '735.2.g.c', 'prim_orbit_index': 7, 'related_objects': [], 'relative_dim': 32, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '735.2.g', 'trace_display': [0, 0, 0, 0], 'traces': [32, 0, 0, 16, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 16, -16, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -16, 0, 0, -56, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, -40, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 160, 0, 0, 80, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 88, -112, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, -104, 0, 0, 32, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 176, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, -160, 0, 0, 0, 0, 0, 208, 0, 0, -32, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 8, 416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -368, 0, 0, -64, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 200, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, -176, 0, 0, 0, 0, 0, 96, 0, 0, 48, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 224, 384, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -368, 0, 0, 128, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 64, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 304, -48, 0, 0, 0, 0, 0, 112, 0, 0, -32, 0, 0, 0, 0, 344, 0, 0, 0, 0, 0, 264, 512, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, -328, 0, 0, 0, -464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 280, 0, 0, 0, -400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -296, -320, 0, 0, 0, 0, 0, 416, 0, 0, 256, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 120, 112, 0, 0, 0, 0, 0, 0, 0, 0, 496, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -152, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, -160, 0, 0, 0, 496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, -208, 0, 0, 0, 0, 0, -80, 0, 0, -320, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 288, -416, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, -400, 0, 0, -360, 0, 0, 0, 0, 0, 0, 624, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, -152, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 128, 0, 0, 0, 0, 0, 608, 0, 0, -240, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, -136, -48, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 176, 0, 0, 688, 0, 0, 0, 0, 0, 0, -640, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 352, 0, -64, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 32, 0, 0, 0, 0, 0, -16, 0, 0, 160, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 80, -160, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -192, 0, 0, -360, 0, 0, 0, 0, 0, 0, -864, 0, 0, 0, 0, -632, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -688, 0, 360, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 272, 0, 0, 0, 0, 0, 32, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 384, 0, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 88, 0, 0, 384, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, -512, 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], [-0.6387568606433558, 0.0], [-0.9940816111111176, 0.10863586171575589], [-0.5919896729810444, 0.0], [-0.8704604378177384, 0.4922383835035126], [0.6349764491366268, -0.06939190198284195], [0.0, 0.0], [1.0168943256900147, 0.0], [0.9763964990985503, -0.21598582487768636], [0.5560125765746996, -0.31442064453486396], [0.0, -1.225454638230949], [0.5884860478781403, -0.0643113082511243], [0.7995950843123224, 0.0], [0.0, 0.0], [0.8118339734728713, -0.5838883450757081], [-0.05755855410275152, 0.0], [0.0, 1.61738233303239], [-0.6236799625073532, 0.13796242744233658], [0.0, -1.309278589134316], [0.5153035899266598, -0.2914000396789624], [0.0, 0.0], [0.0, 0.7827675575772404], [-0.34026521202305915, 0.0], [-1.0108759496116833, 0.11047119134519726], [0.5154027476116977, -0.8569480776303268], [-0.5107468458411984, 0.0], [-0.947153998703166, 0.32077921182739244], [0.0, 0.0], [0.0, 1.095059100463231], [-0.5185645202591528, 0.37296268626680373], [0.0, 0.3359846271920691], [-0.9801284043681704, 0.0], [0.13312832061778904, 1.2182019211162136], [0.0, -1.033114061507796], [0.0, 0.0], [-0.5780166442011875, 0.1278613778378827], [0.0, 0.2629938186202879], [0.0, 0.8363106813029978], [-0.7948627696497232, 0.08686470100795161], [-0.885166279954504, 0.5005544190715473], [-1.4246858123787078, 0.0], [0.0, 0.0], [0.0, -1.1488621017209686], [0.0, 0.7254564905394437], [-0.7435980107915661, 0.6686269500602156], [0.2173467386179951, 0.0], [0.0, 1.008577915516765], [0.057217900195689654, -0.006252923124065368], [0.0, 0.0], [-0.3292170410314079, 0.5473814638015063], [-0.17570572347281335, -1.6078100354034963], [-0.4733520324793024, 0.0], [-0.2086026255455652, 0.0], [0.6050011147574355, -0.20489992230651524], [0.6032158101796842, 1.0667097809202901], [0.0, 0.0], [0.14223460775659552, 1.3015297692799317], [0.0, -0.6994765132308307], [0.12912791844263607, 0.0], [-0.4805973284711071, 0.3456558704588117], [0.0, 0.7893281707436162], [0.0, -0.21461248568963437], [0.0, 0.0], [0.6836222967043456, 0.0], [-0.6960158871674156, 0.39359139175925245], [-0.08503662814054107, -0.7781348347618976], [0.0, 1.2327224424255965], [0.0, -0.9574736384171633], [0.33825139017294864, -0.036965004520019405], [0.0, 0.0], [0.0, 0.5710952322510985], [0.9928920595569114, -0.21963475974759647], [-0.06561544859328695, 0.0], [0.0, -0.16798910595050326], [-0.41925710085790213, 0.9078675472667953], [0.0, 0.775079403822707], [0.0, 0.0], [0.5077240473837401, -0.055485423716562926], [0.42736185512560976, 0.0], [0.05010244420443707, -0.02833252962833788], [0.9067002469038108, -0.4217756065309711], [0.9100278369181525, 0.0], [0.0, -0.43953039991040466], [0.0, 0.0], [-0.7961376651190035, -1.4078673337300494], [0.0, 0.7338435494074137], [-0.11896268900850361, -1.08857811485038], [0.0, -1.2461578680075618], [-1.1035584445374416, 0.0], [0.474978330953865, -0.42709005156200514], [0.0, 0.0], [0.20143349159235654, 0.0], [-0.036499979498257416, -0.3339961395076603], [0.0, -0.6442360630297085], [0.6444771762712354, 1.1396752139232476], [0.9743276233100797, -0.10647709380062502], [-1.4760111240578961, 0.0], [0.0, 0.0], [-0.26468083088849825, -1.1965296185727792], [-0.3051131040121807, 0.5073044122381118], [1.3728864933982756, 0.0], [0.11223323632256385, 1.0269996907252201], [-0.8191618839476031, 0.0], [0.8131037040868295, 0.0], [0.0, 0.0], [0.13324635821544673, 0.0], [-1.0379920182928042, 0.0], [0.5607053859549759, -0.18989798070881525], [0.0514041587436156, 0.0], [-0.38530823720081353, -0.6813681908782064], [-0.028570560111732184, -0.2614373189263208], [0.0, 0.0], [-1.1385403539210295, 0.0], [-0.09085333152544206, -0.8313610694591205], [0.29618740543173766, -0.1674915979287106], [0.0, -0.648263678778145], [0.7807218410189617, -0.17270120385334012], [-0.08248134380582951, 0.0], [0.0, 0.0], [0.8255493610269408, -0.5937527449440207], [-0.5017390703617463, 0.0], [0.0, -0.504188784361555], [1.416253967696577, -0.15477197090197264], [0.0, -0.19889942957809115], [-0.026814964859349026, 0.9996404141788146], [0.0, 0.0], [0.0, 1.9777655362574307], [0.5434599722595018, 0.0], [0.12480762441303182, 1.1420626890232852], [0.44458492304495856, -0.25140920177638926], [-0.009975860778895914, 0.0], [-0.07881059098704057, -0.7211629569064674], [0.0, 0.0], [0.0, -0.787409917368384], [0.666560243700533, -0.7454511664206356], [0.0, 1.6447069169319148], [1.0716849002755442, 0.0], [-0.21606039609512354, 0.023611650240875057], [0.0, 0.2015636160724454], [0.0, 0.0], [-0.10956773095964459, -1.0026087591879982], [0.0, -0.36479099768109985], [0.0, -0.9798675047772022], [-0.056199970719101086, 0.012431831786649725], [-0.5390301214528315, -0.953205624025523], [0.04191231795315347, 0.0], [0.0, 0.0], [0.0, -0.15568962468106037], [0.0, 1.3491494759289697], [0.26780334954642837, -0.5799066243721217], [-1.069910029484317, 0.0], [0.0, -1.331397968038114], [0.3493316573425976, 1.5792064476766712], [0.0, 0.0], [-0.16538452977105442, -0.2924613256856381], [0.47055055106974697, -0.051423005943293486], [-0.25444043432997837, 0.0], [-0.27298031693875513, 0.0], [0.20736803408434462, -0.022661725982311625], [0.853162999983919, -0.4824568213920653], [0.0, 0.0], [-0.5791610032568338, 0.2694120623236704], [0.0, 1.510079919177002], [0.8433992881708049, 0.0], [-0.7155286806820195, -0.9948657082657915], [0.0, 0.2807530584040888], [0.0, 0.0683992767196698], [0.0, 0.0], [-0.3606477011435701, 0.0], [0.5085383956113461, 0.8992849182957381], [-0.28278561606886865, -1.2783750307754354], [0.0, 0.6801144998981117], [0.0, -0.9515851879295275], [0.07598823376476362, 0.6953367392068912], [0.0, 0.0], [0.0, 0.07053539709508387], [-0.12836368920488067, 0.014027922691577618], [0.7049055275692011, 0.0], [0.0, 0.9093051147237224], [0.4402023432378544, -0.3958202495124602], [0.0, -1.2024471938463883], [0.0, 0.0], [-0.08574934600525404, -0.7846566196682053], [-0.34601376333595857, 0.0], [-0.1294556521490665, -0.2289257144995747], 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0.10305033649690089, -0.23043869844903728, -0.4565917554668612, -0.16283895947379323, 0.0016877380749376356, 0.03487084696855322, -0.3307597424187018, -0.49092342337140904, -0.4704450244941717, -0.19859644107340327, -0.39745246199269385, -0.4908511498362661, -0.13450350857903054, -0.3773891802152583, -0.09054807275704971, -0.4139630309773386, -0.2778815824950959, -0.2777971185762645, -0.3545403842236158, -0.2801505084458427, -0.34404987034487167, -0.4403926294031506, -0.31648603932279706, -0.08249938190041735, -0.43391238019953915, 0.00860337294307728, 0.11005640953523307, 0.05180727640175814, -0.26557331599232803, 0.15006050511108057, -0.18954325183429543, -0.4644549602032756, -0.19821270164022262, -0.3561104447334757, -0.1771331395518928, -0.4161773717381181, -0.19603710836883445, 0.008772194916294732, 0.045768681868631804, -0.4588478564252204, -0.4119653256806538, -0.26547252976027, 0.11295012228278982, -0.4457848329796567, -0.20262930877574578, -0.20133528629524797, -0.1994454984344824, -0.1828491653114858, -0.10740090987023485, -0.3243415107941772, -0.17338598146211784, -0.4441336682580455, -0.2797647737021422, 0.05228668380167804, -0.47028442733086884, -0.2141641591918216, 0.06806735574063434, 0.030899767008438734, 0.1072408001161983, -0.3534479939139344, 0.03888277326717626, -0.2845106237763271, 0.029660321424239165, -0.29898430259847425, -0.3346248201916279, 0.13783874683217617, 0.017501147311693156, -0.4312127119508722, 0.1022458016334071, -0.319217820617794, 0.08463224279333034, -0.47570043284750546, -0.47483690202458545, 0.19534925835685482, -0.4475537175731874, -0.27700379406853914, -0.32864236776896416, -0.2107650290495172, -0.2878744937754315, -0.15420302438792058, -0.3648869486937273, -0.2533543106405509, -0.4114013519603891, 0.05465697149823064, -0.41226970502222293, -0.14442029368934606], 'char_orbit_index': 7, 'conrey_index': 734, 'dual_conrey_index': 734, 'dual_embedding_index': 9, 'dual_embedding_m': 9, 'embedding_index': 10, 'embedding_m': 10, 'hecke_orbit': 3, 'hecke_orbit_code': 9007611605156575, 'label': '735.2.g.c.734.10', 'level': 735, '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': 2940, 'analytic_conductor': 5.869004548564108, 'char_conductor': 105, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 2, 'char_parity': 1, 'char_values': [735, 2, [491, 442, 346], [1, 1, 1]], 'conrey_index': 734, 'cusp_dim': 96, 'dim': 72, 'eis_dim': 32, 'eis_new_dim': 16, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 412350415583, 'hecke_orbit_dims': [16, 24, 32], 'label': '735.2.g', 'level': 735, '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': 128, 'mf_new_dim': 88, 'num_forms': 3, 'prim_orbit_index': 7, 'relative_dim': 72, 'sturm_bound': 224, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 72, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -8, 72, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -28, 0, 0, -32, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 116, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, -136, 0, 0, 0, 0, 0, 16, 0, 0, 56, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -92, 136, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 64, 0, 0, -220, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 200, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, -88, 0, 0, 0, 0, 0, -32, 0, 0, 216, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 116, 64, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, -44, 0, 0, -4, 0, 0, 0, 0, 0, 0, -296, 0, 0, 0, 0, -148, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 296, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, -32, 0, 0, 0, 0, 0, -64, 0, 0, -144, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 80, 288, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, -128, 0, 0, -88, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, -356, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 304, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 196, -144, 0, 0, 0, 0, 0, -56, 0, 0, -96, 0, 0, 0, 0, 536, 0, 0, 0, 0, 0, 144, 200, 0, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, -168, 0, 0, -192, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, -364, 0, 0, 0, 248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 340, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -344, -176, 0, 0, 0, 0, 0, 360, 0, 0, 144, 0, 0, 0, 0, -244, 0, 0, 0, 0, 0, -120, -56, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 40, 0, 0, 424, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, -348, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -352, 0, 92, 0, 0, 0, 640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 216, 0, 0, 0, 0, 0, -464, 0, 0, 400, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, 252, 560, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, -112, 0, 0, -120, 0, 0, 0, 0, 0, 0, -296, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, -536, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -296, 0, -416, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -584, -448, 0, 0, 0, 0, 0, -184, 0, 0, -416, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, -316, -160, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 80, 0, 0, 148, 0, 0, 0, 0, 0, 0, -544, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 352, 0, 104, 0, 0, 0, -552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, -96, 0, 0, 0, 0, 0, 736, 0, 0, 208, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, -280, -24, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 408, 0, 0, -360, 0, 0, 0, 0, 0, 0, -376, 0, 0, 0, 0, -392, 0, 0, 0, 0, 0, 0, 0, 0, 436, 0, 0, 0, -592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -496, 0, 276, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, -416, 0, 0, 0, 0, 0, 320, 0, 0, 432, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 288, 488, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 76, 0, 0, 132, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 388, 0, 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: 40965883
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 734, 'target_dim': 32, 'target_embedding_index': 10, 'target_hecke_orbit_code': 9007611605156575, 'target_is_minimal': True, 'target_label': '735.2.g.c.734.10', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 40965884
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 734, 'target_dim': 32, 'target_embedding_index': 21, 'target_hecke_orbit_code': 9007611605156575, 'target_is_minimal': True, 'target_label': '735.2.g.c.734.21', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 40965885
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 734, 'target_dim': 32, 'target_embedding_index': 23, 'target_hecke_orbit_code': 9007611605156575, 'target_is_minimal': True, 'target_label': '735.2.g.c.734.23', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 40965886
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 374, 'target_dim': 64, 'target_embedding_index': 23, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.374.23', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 40965887
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 509, 'target_dim': 64, 'target_embedding_index': 21, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.509.21', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 40965888
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 509, 'target_dim': 64, 'target_embedding_index': 24, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.509.24', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 40965889
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 374, 'target_dim': 64, 'target_embedding_index': 22, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.374.22', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 40965890
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 734, 'target_dim': 32, 'target_embedding_index': 11, 'target_hecke_orbit_code': 9007611605156575, 'target_is_minimal': True, 'target_label': '735.2.g.c.734.11', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 40965891
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 734, 'target_dim': 32, 'target_embedding_index': 12, 'target_hecke_orbit_code': 9007611605156575, 'target_is_minimal': True, 'target_label': '735.2.g.c.734.12', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 40965892
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 374, 'target_dim': 64, 'target_embedding_index': 12, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.374.12', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 40965893
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 374, 'target_dim': 64, 'target_embedding_index': 9, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.374.9', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 40965894
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 509, 'target_dim': 64, 'target_embedding_index': 11, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.509.11', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 40965895
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 509, 'target_dim': 64, 'target_embedding_index': 10, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.509.10', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 40965896
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 734, 'target_dim': 32, 'target_embedding_index': 24, 'target_hecke_orbit_code': 9007611605156575, 'target_is_minimal': True, 'target_label': '735.2.g.c.734.24', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 40965897
    {'conductor': 35, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 509, 'target_dim': 64, 'target_embedding_index': 9, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.509.9', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '35.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 40965898
    {'conductor': 35, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 374, 'target_dim': 64, 'target_embedding_index': 10, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.374.10', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '35.9', 'twisting_conrey_index': 9, 'weight': 2}
  • id: 40965899
    {'conductor': 35, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 374, 'target_dim': 64, 'target_embedding_index': 11, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.374.11', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '35.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 40965900
    {'conductor': 35, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 509, 'target_dim': 64, 'target_embedding_index': 12, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.509.12', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '35.24', 'twisting_conrey_index': 24, 'weight': 2}
  • id: 40965901
    {'conductor': 35, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 734, 'target_dim': 32, 'target_embedding_index': 22, 'target_hecke_orbit_code': 9007611605156575, 'target_is_minimal': True, 'target_label': '735.2.g.c.734.22', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '35.34', 'twisting_conrey_index': 34, 'weight': 2}
  • id: 40965902
    {'conductor': 105, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 374, 'target_dim': 64, 'target_embedding_index': 21, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.374.21', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '105.44', 'twisting_conrey_index': 44, 'weight': 2}
  • id: 40965903
    {'conductor': 105, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 509, 'target_dim': 64, 'target_embedding_index': 23, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.509.23', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '105.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 40965904
    {'conductor': 105, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 509, 'target_dim': 64, 'target_embedding_index': 22, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.509.22', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '105.74', 'twisting_conrey_index': 74, 'weight': 2}
  • id: 40965905
    {'conductor': 105, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 374, 'target_dim': 64, 'target_embedding_index': 24, 'target_hecke_orbit_code': 27022628589929183, 'target_is_minimal': False, 'target_label': '735.2.p.g.374.24', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '105.89', 'twisting_conrey_index': 89, 'weight': 2}
  • id: 40965906
    {'conductor': 105, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 734, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007611605156575, 'source_is_minimal': True, 'source_label': '735.2.g.c.734.10', 'source_level': 735, 'target_conrey_index': 734, 'target_dim': 32, 'target_embedding_index': 9, 'target_hecke_orbit_code': 9007611605156575, 'target_is_minimal': True, 'target_label': '735.2.g.c.734.9', 'target_level': 735, 'twist_class_label': '735.2.g.c.734.9', 'twist_class_level': 735, 'twisting_char_label': '105.104', 'twisting_conrey_index': 104, 'weight': 2}
• hecke_orbit_code 9007611605156575 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': 7, 'hecke_orbit': 3, 'label': '735.2.g.c', 'level': 735, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 30862711
    {'hecke_orbit_code': 9007611605156575, 'n': 1, 'trace_an': 32}
  • id: 30862712
    {'hecke_orbit_code': 9007611605156575, 'n': 2, 'trace_an': 0}
  • id: 30862713
    {'hecke_orbit_code': 9007611605156575, 'n': 3, 'trace_an': 0}
  • id: 30862714
    {'hecke_orbit_code': 9007611605156575, 'n': 4, 'trace_an': 16}
  • id: 30862715
    {'hecke_orbit_code': 9007611605156575, 'n': 5, 'trace_an': 0}
  • id: 30862716
    {'hecke_orbit_code': 9007611605156575, 'n': 6, 'trace_an': 0}
  • id: 30862717
    {'hecke_orbit_code': 9007611605156575, 'n': 7, 'trace_an': 0}
  • id: 30862718
    {'hecke_orbit_code': 9007611605156575, 'n': 8, 'trace_an': 0}
  • id: 30862719
    {'hecke_orbit_code': 9007611605156575, 'n': 9, 'trace_an': 40}
  • id: 30862720
    {'hecke_orbit_code': 9007611605156575, 'n': 10, 'trace_an': 0}
  • id: 30862721
    {'hecke_orbit_code': 9007611605156575, 'n': 11, 'trace_an': 0}
  • id: 30862722
    {'hecke_orbit_code': 9007611605156575, 'n': 12, 'trace_an': 0}
  • id: 30862723
    {'hecke_orbit_code': 9007611605156575, 'n': 13, 'trace_an': 0}
  • id: 30862724
    {'hecke_orbit_code': 9007611605156575, 'n': 14, 'trace_an': 0}
  • id: 30862725
    {'hecke_orbit_code': 9007611605156575, 'n': 15, 'trace_an': 16}
  • id: 30862726
    {'hecke_orbit_code': 9007611605156575, 'n': 16, 'trace_an': -16}
  • id: 30862727
    {'hecke_orbit_code': 9007611605156575, 'n': 17, 'trace_an': 0}
  • id: 30862728
    {'hecke_orbit_code': 9007611605156575, 'n': 18, 'trace_an': 0}
  • id: 30862729
    {'hecke_orbit_code': 9007611605156575, 'n': 19, 'trace_an': 0}
  • id: 30862730
    {'hecke_orbit_code': 9007611605156575, 'n': 20, 'trace_an': 0}
  • id: 30862731
    {'hecke_orbit_code': 9007611605156575, 'n': 21, 'trace_an': 0}
  • id: 30862732
    {'hecke_orbit_code': 9007611605156575, 'n': 22, 'trace_an': 0}
  • id: 30862733
    {'hecke_orbit_code': 9007611605156575, 'n': 23, 'trace_an': 0}
  • id: 30862734
    {'hecke_orbit_code': 9007611605156575, 'n': 24, 'trace_an': 0}
  • id: 30862735
    {'hecke_orbit_code': 9007611605156575, 'n': 25, 'trace_an': 64}
  • id: 30862736
    {'hecke_orbit_code': 9007611605156575, 'n': 26, 'trace_an': 0}
  • id: 30862737
    {'hecke_orbit_code': 9007611605156575, 'n': 27, 'trace_an': 0}
  • id: 30862738
    {'hecke_orbit_code': 9007611605156575, 'n': 28, 'trace_an': 0}
  • id: 30862739
    {'hecke_orbit_code': 9007611605156575, 'n': 29, 'trace_an': 0}
  • id: 30862740
    {'hecke_orbit_code': 9007611605156575, 'n': 30, 'trace_an': 56}
  • id: 30862741
    {'hecke_orbit_code': 9007611605156575, 'n': 31, 'trace_an': 0}
  • id: 30862742
    {'hecke_orbit_code': 9007611605156575, 'n': 32, 'trace_an': 0}
  • id: 30862743
    {'hecke_orbit_code': 9007611605156575, 'n': 33, 'trace_an': 0}
  • id: 30862744
    {'hecke_orbit_code': 9007611605156575, 'n': 34, 'trace_an': 0}
  • id: 30862745
    {'hecke_orbit_code': 9007611605156575, 'n': 35, 'trace_an': 0}
  • id: 30862746
    {'hecke_orbit_code': 9007611605156575, 'n': 36, 'trace_an': -16}
  • id: 30862747
    {'hecke_orbit_code': 9007611605156575, 'n': 37, 'trace_an': 0}
  • id: 30862748
    {'hecke_orbit_code': 9007611605156575, 'n': 38, 'trace_an': 0}
  • id: 30862749
    {'hecke_orbit_code': 9007611605156575, 'n': 39, 'trace_an': -56}
  • id: 30862750
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  • id: 30862751
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  • id: 30862752
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  • id: 30862753
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  • id: 30862754
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  • id: 30862755
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  • id: 30862756
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  • id: 30862757
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  • id: 30862758
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  • id: 30862759
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  • id: 30862760
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  • id: 30862761
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  • id: 30862762
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  • id: 30862763
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  • id: 30862764
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  • id: 30862765
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  • id: 30862766
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  • id: 30862767
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  • id: 30862768
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  • id: 30862769
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  • id: 30862770
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  • id: 30862771
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  • id: 30862772
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  • id: 30862773
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  • id: 30862774
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  • id: 30862775
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  • id: 30862776
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  • id: 30862777
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  • id: 30862778
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  • id: 30862779
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  • id: 30862780
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  • id: 30862781
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  • id: 30862782
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  • id: 30862783
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  • id: 30862784
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  • id: 30862785
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  • id: 30862786
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  • id: 30862787
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  • id: 30862788
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  • id: 30862789
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  • id: 30862790
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  • id: 30862791
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  • id: 30862792
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  • id: 30862793
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  • id: 30862794
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  • id: 30862795
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  • id: 30862796
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  • id: 30862797
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  • id: 30862798
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  • id: 30862799
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  • id: 30862800
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  • id: 30862801
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  • id: 30862802
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  • id: 30862803
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  • id: 30862804
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  • id: 30862805
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  • id: 30862806
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  • id: 30862807
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  • id: 30862808
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  • id: 30862809
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  • id: 30862810
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  • id: 30862811
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  • id: 30862812
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  • id: 30862813
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  • id: 30862814
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  • id: 30862815
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  • id: 30862816
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  • id: 30862817
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  • id: 30862818
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  • id: 30862819
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  • id: 30862820
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  • id: 30862821
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  • id: 30862822
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  • id: 30862823
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  • id: 30862824
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  • id: 30862825
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  • id: 30862826
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  • id: 30862827
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  • id: 30862828
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  • id: 30862829
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  • id: 30862830
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  • id: 30862831
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  • id: 30862832
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  • id: 30862833
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  • id: 30862834
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  • id: 30862835
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  • id: 30862836
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  • id: 30862837
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  • id: 30862838
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  • id: 30862839
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  • id: 30862840
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  • id: 30862841
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  • id: 30862842
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  • id: 30862843
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  • id: 30862844
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  • id: 30862845
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  • id: 30862846
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  • id: 30862847
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  • id: 30862848
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  • id: 30862849
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  • id: 30862850
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  • id: 30862851
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  • id: 30862852
    {'hecke_orbit_code': 9007611605156575, 'n': 283, 'trace_an': 0}
  • id: 30862853
    {'hecke_orbit_code': 9007611605156575, 'n': 289, 'trace_an': -16}
  • id: 30862854
    {'hecke_orbit_code': 9007611605156575, 'n': 293, 'trace_an': 0}
  • id: 30862855
    {'hecke_orbit_code': 9007611605156575, 'n': 307, 'trace_an': 0}
  • id: 30862856
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  • id: 30862857
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  • id: 30862858
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  • id: 30862859
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  • id: 30862860
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  • id: 30862861
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  • id: 30862862
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  • id: 30862863
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  • id: 30862864
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  • id: 30862865
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  • id: 30862866
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  • id: 30862867
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  • id: 30862868
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  • id: 30862869
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  • id: 30862870
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  • id: 30862871
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  • id: 30862872
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  • id: 30862873
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  • id: 30862874
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  • id: 30862875
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  • id: 30862876
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  • id: 30862877
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  • id: 30862878
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  • id: 30862879
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  • id: 30862880
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  • id: 30862881
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  • id: 30862882
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  • id: 30862883
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  • id: 30862884
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  • id: 30862885
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  • id: 30862886
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  • id: 30862887
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  • id: 30862888
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  • id: 30862889
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  • id: 30862890
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  • id: 30862891
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  • id: 30862892
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  • id: 30862893
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  • id: 30862894
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  • id: 30862895
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  • id: 30862896
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  • id: 30862897
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  • id: 30862898
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  • id: 30862899
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  • id: 30862900
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  • id: 30862901
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  • id: 30862902
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  • id: 30862903
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  • id: 30862904
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  • id: 30862905
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  • id: 30862906
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  • id: 30862907
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  • id: 30862908
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  • id: 30862909
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  • id: 30862910
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  • id: 30862911
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  • id: 30862912
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  • id: 30862913
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  • id: 30862914
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  • id: 30862915
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  • id: 30862916
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  • id: 30862917
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  • id: 30862918
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  • id: 30862919
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  • id: 30862920
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  • id: 30862921
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  • id: 30862922
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  • id: 30862923
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  • id: 30862924
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  • id: 30862925
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  • id: 30862926
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  • id: 30862927
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  • id: 30862928
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  • id: 30862929
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  • id: 30862930
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  • id: 30862931
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  • id: 30862932
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  • id: 30862933
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  • id: 30862934
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  • id: 30862935
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  • id: 30862936
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  • id: 30862937
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  • id: 30862938
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  • id: 30862939
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  • id: 30862940
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  • id: 30862941
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  • id: 30862942
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  • id: 30862943
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  • id: 30862944
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  • id: 30862945
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  • id: 30862946
    {'hecke_orbit_code': 9007611605156575, 'n': 853, 'trace_an': 0}
  • id: 30862947
    {'hecke_orbit_code': 9007611605156575, 'n': 857, 'trace_an': 0}
  • id: 30862948
    {'hecke_orbit_code': 9007611605156575, 'n': 859, 'trace_an': 0}
  • id: 30862949
    {'hecke_orbit_code': 9007611605156575, 'n': 863, 'trace_an': 0}
  • id: 30862950
    {'hecke_orbit_code': 9007611605156575, 'n': 877, 'trace_an': 0}
  • id: 30862951
    {'hecke_orbit_code': 9007611605156575, 'n': 881, 'trace_an': 0}
  • id: 30862952
    {'hecke_orbit_code': 9007611605156575, 'n': 883, 'trace_an': 0}
  • id: 30862953
    {'hecke_orbit_code': 9007611605156575, 'n': 887, 'trace_an': 0}
  • id: 30862954
    {'hecke_orbit_code': 9007611605156575, 'n': 907, 'trace_an': 0}
  • id: 30862955
    {'hecke_orbit_code': 9007611605156575, 'n': 911, 'trace_an': 0}
  • id: 30862956
    {'hecke_orbit_code': 9007611605156575, 'n': 919, 'trace_an': -688}
  • id: 30862957
    {'hecke_orbit_code': 9007611605156575, 'n': 929, 'trace_an': 0}
  • id: 30862958
    {'hecke_orbit_code': 9007611605156575, 'n': 937, 'trace_an': 0}
  • id: 30862959
    {'hecke_orbit_code': 9007611605156575, 'n': 941, 'trace_an': 0}
  • id: 30862960
    {'hecke_orbit_code': 9007611605156575, 'n': 947, 'trace_an': 0}
  • id: 30862961
    {'hecke_orbit_code': 9007611605156575, 'n': 953, 'trace_an': 0}
  • id: 30862962
    {'hecke_orbit_code': 9007611605156575, 'n': 961, 'trace_an': 384}
  • id: 30862963
    {'hecke_orbit_code': 9007611605156575, 'n': 967, 'trace_an': 0}
  • id: 30862964
    {'hecke_orbit_code': 9007611605156575, 'n': 971, 'trace_an': 0}
  • id: 30862965
    {'hecke_orbit_code': 9007611605156575, 'n': 977, 'trace_an': 0}
  • id: 30862966
    {'hecke_orbit_code': 9007611605156575, 'n': 983, 'trace_an': 0}
  • id: 30862967
    {'hecke_orbit_code': 9007611605156575, 'n': 991, 'trace_an': -192}
  • id: 30862968
    {'hecke_orbit_code': 9007611605156575, 'n': 997, 'trace_an': 0}