Embedded newform data - 280.2.ba.b.19.28

Formats: - HTML - YAML - JSON - 2024-06-12T07:55:58.259696

• 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': 1120, 'analytic_conductor': 2.235811256595851, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 280, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 27, 'char_orbit_label': 'ba', 'char_order': 6, 'char_parity': 1, 'char_values': [280, 6, [71, 141, 57, 241], [3, 3, 3, 5]], 'cm_discs': [], 'conrey_index': 19, 'dim': 80, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [3701776, 0, 171249468, 0, 7264297693, 0, 28517021023, 0, 71790635873, 0, 103742618144, 0, 105186315922, 0, 78199312158, 0, 45030687130, 0, 20467199072, 0, 7498222403, 0, 2225900721, 0, 539472387, 0, 106405364, 0, 17078302, 0, 2204218, 0, 226738, 0, 18024, 0, 1073, 0, 43, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4505386367320344, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0], [1, 1, 7, 4, -1, 6, 0], [1, 1, 8, 4, -1, 2, 0], [1, 1, 35, 9, -1, 6, 0], [1, 1, 40, 5, -1, 2, 0], [1, 1, 56, 13, 1, 6, 0], [1, 1, 280, 27, 1, 6, 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': '280.2.ba.b', 'level': 280, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 7], 'level_radical': 70, 'minimal_twist': '280.2.ba.b', 'prim_orbit_index': 27, 'related_objects': [], 'relative_dim': 40, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '280.2.ba', 'trace_display': [0, 0, 0, 0], 'traces': [80, 0, 0, 6, 0, 0, 0, 0, -52, -12, 0, 0, 0, -6, 0, 10, 0, 0, -48, 0, 0, 0, 0, 12, -22, 54, 0, 0, 0, -20, 0, 0, 0, 0, -22, 28, 0, 0, 0, 12, 0, 0, 0, 38, 0, 14, 0, 0, 16, -40, 20, 0, 0, 60, 0, -104, 0, 0, -60, -42, 0, 0, 0, -60, -12, 84, 0, 0, 0, -22, 0, 0, 0, 34, -6, 0, 0, 0, 0, -96, 0, 0, 0, -100, 0, -8, 0, 0, -36, 0, 72, 0, 0, -66, 0, 96, 0, 0, 104, -74, 0, 0, 0, 0, 0, -28, 0, 0, 0, -144, 0, 0, 0, -36, -42, 68, 0, 0, 0, -44, 56, 0, 0, 120, 0, 170, 0, 0, 24, 62, 192, 0, 0, -80, 0, 120, 0, 0, 0, 24, 0, 0, 0, 6, 24, 0, 0, 0, 0, 222, 0, 0, 0, 96, -68, 4, 0, 0, 0, 0, -64, 0, 0, -30, 0, -168, 0, 0, 104, 76, -84, 0, 0, 0, 0, -28, 0, 0, -104, -12, 0, 0, 0, -130, 54, -160, 0, 0, 0, 88, 0, 0, 0, -264, 0, 206, 0, 0, 0, 98, -36, 0, 0, 24, 0, -192, 0, 0, 0, 132, -328, 0, 0, -48, 0, 0, 0, 0, 156, 222, 0, 0, 0, 206, -48, -8, 0, 0, 0, 0, 0, 0, 0, 174, 26, -240, 0, 0, 0, 120, -144, 0, 0, 0, 0, -8, 0, 0, 24, 18, 0, 0, 0, 62, 0, -102, 0, 0, 104, 212, 0, 0, 0, -192, 0, -294, 0, 0, 0, -138, 0, 0, 0, -48, 66, -336, 0, 0, 0, 118, -120, 0, 0, -32, 0, 0, 0, 0, -52, -258, 32, 0, 0, -252, 0, 6, 0, 0, 156, 0, 0, 0, 0, 126, 26, 312, 0, 0, 0, -74, 0, 0, 0, 0, 100, -120, 0, 0, 0, 48, 0, 0, 0, 150, 0, 168, 0, 0, -88, -108, -64, 0, 0, 378, 0, -468, 0, 0, 240, -156, 0, 0, 0, 224, -30, 162, 0, 0, 0, -62, 0, 0, 0, 100, 60, 0, 0, 0, 0, -426, -72, 0, 0, -290, 0, 80, 0, 0, 36, 0, -248, 0, 0, 120, 0, 126, 0, 0, -152, -146, 0, 0, 0, 0, 76, 40, 0, 0, 0, 66, 0, 0, 0, -122, 162, 362, 0, 0, 0, 68, -40, 0, 0, 240, 0, 436, 0, 0, -252, 128, -468, 0, 0, -132, 0, 282, 0, 0, 0, -276, 0, 0, 0, 74, -6, 0, 0, 0, 0, 384, 0, 0, 0, 316, 168, -28, 0, 0, 0, 0, -44, 0, 0, 48, 0, -264, 0, 0, 168, 122, 348, 0, 0, 0, 0, 192, 0, 0, 68, -24, 0, 0, 0, -28, 222, -320, 0, 0, 0, 148, 0, 0, 0, -252, 0, 416, 0, 0, 0, 256, 276, 0, 0, -64, 0, -588, 0, 0, 0, 170, 352, 0, 0, -6, 0, 0, 0, 0, -284, 312, 0, 0, 0, 262, 28, 62, 0, 0, 0, 0, 0, 0, 0, -96, -118, -276, 0, 0, 0, 96, -48, 0, 0, 0, 0, -184, 0, 0, 128, -6, 0, 0, 0, 120, 0, -320, 0, 0, -48, 76, 0, 0, 0, -276, 0, -656, 0, 0, 0, -232, 0, 0, 0, -64, -182, -444, 0, 0, 0, 166, 392, 0, 0, -204, 0, 0, 0, 0, 72, -570, 12, 0, 0, -270, 0, -238, 0, 0, -756, 0, 0, 0, 0, -132, 164, 126, 0, 0, 0, -188, 0, 0, 0, 0, -84, -48, 0, 0, 0, -186, 0, 0, 0, -68, 0, 420, 0, 0, -24, -84, 172, 0, 0, 252, 0, -390, 0, 0, -528, -254, 0, 0, 0, -72, 90, 540, 0, 0, 0, -464, 0, 0, 0, 128, 36, 0, 0, 0, 0, -462, 40, 0, 0, -320, 0, 232, 0, 0, -132, 0, 452, 0, 0, 228, 0, 522, 0, 0, 496, -112, 0, 0, 0, 0, -362, 452, 0, 0, 0, 216, 0, 0, 0, -40, -498, 324, 0, 0, 0, -220, -4, 0, 0, 462, 0, 598, 0, 0, -156, 340, 516, 0, 0, -96, 0, 1020, 0, 0, 0, -390, 0, 0, 0, 114, -138, 0, 0, 0, 0, 432, 0, 0, 0, 252, -448, 14, 0, 0, 0, 0, -124, 0, 0, 132, 0, -240, 0, 0, 128, 102, 144, 0, 0, 0, 0, 292, 0, 0, -192, -18, 0, 0, 0, 84, -126, -312, 0, 0, 0, 48, 0, 0, 0, 120, 0, 892, 0, 0, 0, 92, 240, 0, 0, -216, 0, -546, 0, 0, 0, 374, -728, 0, 0, -172, 0, 0, 0, 0, 372, 660, 0, 0, 0, 222, -388, -128, 0, 0, 0, 0, 0, 0, 0, -456, -14, -348, 0, 0, 0, 64, 96, 0, 0, 0, 0, 144, 0, 0, -168, -366, 0, 0, 0, 42, 0, -616, 0, 0, 556, 120, 0, 0, 0, -384, 0, -444, 0, 0, 0, -296, 0, 0, 0, -240, 196, -462, 0, 0, 0, 656, -64, 0, 0, -110, 0, 0, 0, 0, 44, -450, 216, 0, 0, -288, 0, -164, 0, 0, 732, 0, 0, 0, 0, -564, 54, 336, 0, 0, 0, -158, 0, 0, 0, 0, 96, -488, 0, 0, 0, -312, 0, 0, 0, -4, 0, 520, 0, 0, 144, -68, -200, 0, 0, 204, 0, -706, 0, 0, 528, -330, 0, 0, 0, -280, -44, 1056, 0, 0, 0, -348, 0, 0, 0, 80, 318, 0, 0, 0, 0, -450, -120, 0, 0, -288, 0, 38, 0, 0, -240, 0, -464, 0, 0, 192, 0, 426, 0, 0, -520, 104, 0, 0, 0, 0, -130, 344, 0, 0, 0, 96, 0, 0, 0, 186, 486, 460, 0, 0, 0, 144, -84, 0, 0, 54, 0, 1012, 0, 0, 660, 346, -912, 0, 0, -368, 0, 792, 0, 0, 0, -464, 0, 0, 0, 432, 240, 0, 0, 0, 0, 480, 0, 0, 0, 384, 172, 332, 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], [0.6232961070131704, -0.7819859097082418], [0.6554948594453182, 1.135350400659511], [-0.22300392596445295, -0.9748175465205993], [0.18180964578519712, -0.9833337443103746], [1.2963954099567565, 0.19507174085449322], [0.20861216668452365, -0.9779984478061243], [-0.9012910648177639, -0.4332140538805975], [-0.3593470215184747, 0.6224072988185448], [-0.655631888156003, -0.7550806759764114], [-0.13705626664061993, -0.23738841731726115], [0.9605815649062607, -0.8921754873337356], [0.0, 1.5707705375423062], [-0.6347538545308744, -0.7727144001234851], [1.2356036487945716, -0.43815256032858], [-0.9005384980088815, 0.4347762799462588], [0.7638188905311435, 1.3229731261808308], [0.262734138196426, 0.6689483538532536], [-0.2216826187840916, -0.1279885196296565], [-0.9991152528278592, 0.04205605267643399], [1.247115132440518, -0.40422504805469217], [-0.27106103490889566, -0.04078720701368621], [0.2387660480412023, -0.4135549263297938], [-0.09894191020737392, -1.3072507569098843], [-0.9338905053989223, -0.35755911948340163], [1.2283204277429243, 0.9790551610611045], [0.3687892174412512, 0.0], [-0.9998913795659201, 0.01473869294615321], [0.0, 1.1540275106970206], [0.4275178156253852, -1.2393234284721033], [-0.25488421454338983, -0.44147240963643736], [-0.2213132152310832, 0.9752027793049404], [0.1796793564753864, -0.3112137744866492], [1.5106316845272543, 0.22730838926721955], [-0.9237711714795349, -0.3829449343486967], [0.6868693525530599, 0.21149851068065859], [-0.1298108550491806, 0.22483899631913976], [-0.2382591322354171, 0.09357793828883962], [-1.7833749591428127, 1.0296320127271408], [-0.5898574069341651, 0.8075074237955356], [0.0, 0.025466781272319414], [0.46122371511748317, -1.2271783601621145], [0.0, 1.2647405096131714], [-0.20084630900273154, 0.18654340262211935], [0.5467013449371063, 0.46651770270886345], [-0.1745721770493277, -0.4444788609024203], [-1.2488823351737963, -0.7210425523987598], [-1.0839217798116663, -0.7374331280101667], [-0.9129619278223771, -0.4080447504218732], [-0.8616965097154161, 0.5074240092312047], [-1.0013587125807815, 1.7344041667916736], [1.531214681553834, -0.3502879966612284], [-0.3523373090460262, -0.6102661206698148], [0.22986488353956544, -0.2883879716913874], [-0.2583501925470688, 0.09161254779096209], [-0.6117029541080583, 0.7910875399950847], [0.0, -0.335583266741024], [0.9024332527807474, 0.7193008548035528], [1.2989826427871858, -0.7499679784858332], [-0.7026632684784179, -1.1067783762651746], [0.1251198240021643, -0.21671389220582446], [-0.5040935425246437, -0.07585216990013167], [0.5337492113971403, 0.48128256443562056], [0.6246511670406775, 0.7809039118321278], [1.5445916741338959, 0.2855812350403904], [-0.13137134315393798, -0.3344850591155997], [-0.7445890408560971, 0.42988868317391293], [1.119322805662027, -1.0396122579374463], [0.6260396684043279, 0.0], [-0.8752405178090185, 0.48368795311171564], [0.0, -0.09630610978304528], [0.5935118487495322, -0.4052959571605777], [-0.5314027746468558, -0.9204166049714286], [0.0949103264743053, 0.24165153068610656], [-0.2062055360088417, -1.2946711242459437], [-0.07532936038125168, 0.24464204890516134], [-0.2607571084050254, 0.08451870395426486], [-0.3064129432413258, 2.0363397149651528], [-1.1051027855724846, -0.6380313907324793], [0.26380360195796204, 0.9645764145955493], [0.6010864577700765, 1.0411122845993768], [0.01991466412057551, 0.015873345625192603], [0.857081792593359, 0.0], [-0.6721572402507606, -1.1255659409450123], [1.4397937597209076, -0.5105596141467137], [0.9890092579547212, 0.7883078360237429], [-1.3102255966419605, 0.7564591009203739], [0.020687589890161985, 0.2733307603004011], [1.3155032036619496, 0.7595061287540417], [0.7055670901459524, -0.13673408060820025], [1.536211147575967, 0.32768184520091437], [-0.45638636473652205, -0.14052896097046025], [0.33415058477389925, -0.5787657902072448], [-1.3422686139072415, 0.5271853730884476], [-0.16615946863404257, 0.1947184521590506], [-1.252266541119423, 0.3879723611673206], [-1.0151163027330077, 0.0], [-0.8881308608232477, 0.45959065923205744], [0.19700304479099462, 0.0], [-0.14029365446598857, 0.9901099386010515], [0.8649533957725976, 1.4981432276573703], [0.7321366328950308, 1.8640957689504278], [0.15430485820709774, 0.08908795142313491], [0.6804798722849078, -1.4157214503658766], [-0.17075056956529172, -1.2998224055731913], [-0.6968299806199892, -0.10485368611701448], [-0.29829427003795295, -0.17222027710413507], [-0.08224144334275732, -0.35950220012933226], [0.16565292562614556, -0.09563976120230419], [-0.0893889477356857, 0.2591279547338837], [-0.34036139273975685, 0.0], [0.23734723967790272, 0.9714248750249709], [0.0, -1.272335555914387], [-0.2624213861253432, -0.2091677437384426], [-0.3632525435659749, -0.3099749867032893], [1.1249662665949443, -0.25735266555642033], [-0.9776590473354605, -0.5644517141548012], [0.22318643241863723, -1.4832382449899104], [1.4532075776023392, -0.4710253990264735], [-1.3034523751928813, -0.14037787803277904], [0.4624311595490706, -0.80095426334198], [-0.09148051093226345, -0.2329188647424298], [-0.028913720321035976, 0.016693344210623674], [-0.37351487070878703, 0.34691568522193006], [-0.5213902497626707, 0.8533183505892862], [0.7090399895620915, -0.11740281384441176], [0.11975446768014222, 0.0], [0.999998496546459, -0.001734042912297818], [-1.4359236443196282, 0.8290309025836858], [1.1860584792912756, -1.0298472533886822], [-0.61941231362184, -0.3576178660089382], [-0.3434458499972681, -0.10575269591499767], [-0.17141826495565635, 0.19010529468575105], [-0.12793255750524538, 0.8502060811439605], [0.06704943699239392, -0.36264288204779843], [-0.11529259000685234, -1.523280935618384], [-0.37861588810321944, 0.21859398491586296], [0.3902080881522336, -0.48955419961060437], [0.0, -1.5196674542830915], [-0.1672968434215703, 0.9859065707160991], [0.0, -1.8905587461548738], [-0.07531002086915647, -0.06002722330935513], 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[0.04763516783625944, -0.059762975631347914], [-0.11089798240510228, 0.06402697999417219], [-1.1254108358260964, -0.2554015388574809], [1.0118241739232288, 0.5841769591871468], [-0.6560946429254525, 0.12714665840468808], [0.15016274746068917, 0.20730507447484525], [-0.08436058805053112, 0.27397215379333983], [0.42125876123911, -0.7296415775996653], [0.26948226512948176, 0.6861297846123031], [-0.31853369618820926, -0.2718149672709912], [0.6366269484928442, 0.9322709256980306], [0.03789735460871951, 0.0], [0.8048119396634595, 0.30248117537979724], [-1.882360346142701, 0.0], [1.2781015936250475, 0.6678815507647947], [0.1466523495848378, 0.2540093205302916], [-1.28229199615321, 0.5036291375632778], [0.010531912852931027, 0.006080602720721408], [-0.8437155903102934, 1.240141878046162], [-0.34067684742472554, -0.14122596266154716], [0.05158523298418742, -0.34282187142695036], [-0.6241646335035343, -0.3603616191719097], [-1.6307773301084558, 0.3730644245028774], [1.4457632853538356, 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[-0.30026610882598015, 0.1733587187592011], [-0.4084969853586443, -1.0400756741607131], [-0.04787284364896701, 0.0829181975028119], [0.839593875303687, -0.5432146210776518]], 'angles': [None, 0.030436620765630674, None, None, -0.10521539078549792, 0.14376756934412996, 0.055005637333264, -0.18709269994024405, -0.3782952139796378, 0.09789105286975458, -0.12435201230392842, -0.437385173594268, 0.0020266368308059462, 0.10895892482124758, -0.29483506306930335, -0.14063983940069327, -0.1983677662089246, -0.39670090134281766, -0.40405693307122476, -0.4923332384989031, -0.494165878496155, -0.27679217057226807, -0.17951389627124553, -0.029387003845839012, -0.3347258774419467, 0.08299273357165973, -0.152469056147762, -0.1942137106097045, -0.31808849139571205, -0.3902593047668919, -0.2404645385687341, -0.22487214694261018, -0.36840684550977804, -0.3626401615741238, -0.21379832286498276, -0.31485466700158343, -0.42137979413651105, -0.2844093412370242, -0.4982399720250222, -0.03587706221128511, 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-0.009585179690999365, -0.1620247989605896, -0.06734998480344354, -0.4743607770652762, -0.2476664012428463, 0.05752049908000641, 0.03216342248420802, -0.378200596346771, 0.10227715285733098, -0.23775468135733394, -0.013348283549381414, -0.4411241477524242, -0.4464651562889726, -0.17772389691169416, -0.49153503150689215, -0.021107292206273883, -0.10822247398225215, 0.18436174177302328, -0.2992359270212461, 0.09130064676886882, 0.21370452970532433, -0.1420534836625645, -0.30424224237496345, 0.027321885407669836, -0.01810590194606725, -0.06737536885976873, -0.2469840438425588, -0.059908403270423016, -0.22534001653081354, 0.08670817003526175, -0.36150098760736976, -0.249709040881053, 0.3419024069146946, -0.20376209083198452, -0.23720494601382744, -0.3610643328208589], 'char_orbit_index': 27, 'conrey_index': 19, 'dual_conrey_index': 59, 'dual_embedding_index': 28, 'dual_embedding_m': 68, 'embedding_index': 28, 'embedding_m': 28, 'hecke_orbit': 2, 'hecke_orbit_code': 4505386367320344, 'label': '280.2.ba.b.19.28', 'level': 280, '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': 1120, 'analytic_conductor': 2.235811256595851, 'char_conductor': 280, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 27, 'char_orbit_label': 'ba', 'char_order': 6, 'char_parity': 1, 'char_values': [280, 6, [71, 141, 57, 241], [3, 3, 3, 5]], 'conrey_index': 19, 'cusp_dim': 88, 'dim': 88, 'eis_dim': 16, 'eis_new_dim': 16, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 1786739949848, 'hecke_orbit_dims': [8, 80], 'label': '280.2.ba', 'level': 280, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 7], 'level_radical': 70, 'mf_dim': 104, 'mf_new_dim': 104, 'num_forms': 2, 'prim_orbit_index': 27, 'relative_dim': 44, 'sturm_bound': 96, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [88, 0, 0, -2, 0, 0, 0, 0, -40, -12, -4, 0, 0, -14, 0, -6, 0, 0, -12, 0, 0, 0, 0, 12, -2, 6, 0, 0, 0, -20, 0, 0, 0, 0, -2, -20, 0, 0, 0, 12, 0, 0, 0, 30, 0, 38, 0, 0, -8, -40, 20, 0, 0, 60, 0, -72, 0, 0, -60, -42, 0, 0, 0, 4, 8, 84, 0, 0, 0, -22, 0, 0, 0, 2, -6, 0, 0, 0, 0, -96, -36, 0, 0, -100, 0, -8, 0, 0, -36, 0, 32, 0, 0, -42, 0, 96, 0, 0, 80, -34, 0, 0, 0, 0, 0, 4, 0, 0, 0, -24, 0, 0, 0, -36, -102, 68, 0, 0, 0, -44, -24, 0, 0, 120, 0, 194, 0, 0, 24, 62, 60, 0, 0, -80, 0, 120, 0, 0, 0, -56, 0, 0, 0, 54, 24, 0, 0, 0, 0, 222, 0, 0, 0, 112, -68, 4, 0, 0, 0, 0, 20, 0, 0, -6, 0, -168, 0, 0, -24, 76, 24, 0, 0, 0, 0, 4, 0, 0, -52, -12, 0, 0, 0, -82, -6, -160, 0, 0, 0, 8, 0, 0, 0, -264, 0, 230, 0, 0, 0, 98, -36, 0, 0, 24, 0, -192, 0, 0, 0, 132, -240, 0, 0, -48, 0, 0, 0, 0, 156, 222, 0, 0, 0, 174, 72, -8, 0, 0, 0, 0, 0, 0, 0, 30, -34, -240, 0, 0, 0, 120, -36, 0, 0, 0, 0, -8, 0, 0, 24, 18, 0, 0, 0, 54, 0, -166, 0, 0, 132, 132, 0, 0, 0, -192, 0, -326, 0, 0, 0, -138, 0, 0, 0, -48, 86, -336, 0, 0, 0, 118, -32, 0, 0, -32, 0, 0, 0, 0, 16, -258, 32, 0, 0, -252, 0, -58, 0, 0, 360, 0, 0, 0, 0, -18, 26, 312, 0, 0, 0, -74, 0, 0, 0, 0, 40, -120, 0, 0, 0, 48, 0, 0, 0, 78, 0, 168, 0, 0, -172, -108, -100, 0, 0, 162, 0, -468, 0, 0, 240, -156, 0, 0, 0, 224, -30, 354, 0, 0, 0, -142, 0, 0, 0, 100, 60, 0, 0, 0, 0, -426, 0, 0, 0, -154, 0, 80, 0, 0, 72, 0, -84, 0, 0, 120, 0, 78, 0, 0, -288, -146, 0, 0, 0, 0, 36, 40, 0, 0, 0, 66, 0, 0, 0, -74, 162, 386, 0, 0, 0, -92, 36, 0, 0, 240, 0, 436, 0, 0, -252, 208, -468, 0, 0, 12, 0, 474, 0, 0, 0, -276, 0, 0, 0, 42, -6, 0, 0, 0, 0, 384, 0, 0, 0, 316, 168, -28, 0, 0, 0, 0, -80, 0, 0, 48, 0, -264, 0, 0, 32, 122, 120, 0, 0, 0, 0, 192, 0, 0, 68, 96, 0, 0, 0, -28, 222, -320, 0, 0, 0, 148, 0, 0, 0, -252, 0, 416, 0, 0, 0, 256, 144, 0, 0, 256, 0, -588, 0, 0, 0, 250, 368, 0, 0, -110, 0, 0, 0, 0, -260, 312, 0, 0, 0, 310, 28, -34, 0, 0, 0, 0, 0, 0, 0, -96, -78, -276, 0, 0, 0, 96, -276, 0, 0, 0, 0, -280, 0, 0, 88, -6, 0, 0, 0, 120, 0, -320, 0, 0, -276, 76, 0, 0, 0, -276, 0, -656, 0, 0, 0, -232, 0, 0, 0, 64, -182, -444, 0, 0, 0, 246, 392, 0, 0, -204, 0, 0, 0, 0, -20, -570, -60, 0, 0, -214, 0, -142, 0, 0, -756, 0, 0, 0, 0, -132, 104, 414, 0, 0, 0, -108, 0, 0, 0, 0, -84, -48, 0, 0, 0, -186, 0, 0, 0, -68, 0, 420, 0, 0, -24, -84, 160, 0, 0, 252, 0, -646, 0, 0, -252, -254, 0, 0, 0, -72, -10, 540, 0, 0, 0, -464, 0, 0, 0, 224, -264, 0, 0, 0, 0, -462, 36, 0, 0, -416, 0, 232, 0, 0, 108, 0, 452, 0, 0, 228, 0, 474, 0, 0, 288, -112, 0, 0, 0, 0, -142, 260, 0, 0, 0, 216, 0, 0, 0, -40, -498, 452, 0, 0, 0, -220, -4, 0, 0, 246, 0, 702, 0, 0, 120, 340, 516, 0, 0, -96, 0, 1020, 0, 0, 0, -390, 0, 0, 0, 82, -138, 0, 0, 0, 0, 432, 0, 0, 0, 252, -8, 118, 0, 0, 0, 0, -84, 0, 0, 132, 0, -240, 0, 0, -88, 102, 144, 0, 0, 0, 0, 100, 0, 0, -84, 102, 0, 0, 0, 84, -126, -440, 0, 0, 0, 48, 0, 0, 0, 120, 0, 892, 0, 0, 0, 172, 108, 0, 0, -216, 0, -858, 0, 0, 0, 374, -728, 0, 0, -172, 0, 0, 0, 0, 416, 660, 0, 0, 0, 270, -188, -128, 0, 0, 0, 0, 0, 0, 0, -456, -14, -348, 0, 0, 0, 64, 96, 0, 0, 0, 0, 144, 0, 0, -116, -366, 0, 0, 0, -110, 0, -616, 0, 0, 640, 120, 0, 0, 0, -384, 0, -604, 0, 0, 0, -296, 0, 0, 0, -240, 216, -774, 0, 0, 0, 656, 168, 0, 0, -198, 0, 0, 0, 0, 44, -450, 252, 0, 0, -288, 0, -164, 0, 0, 732, 0, 0, 0, 0, -564, -6, 336, 0, 0, 0, -158, 0, 0, 0, 0, 296, -488, 0, 0, 0, -312, 0, 0, 0, -4, 0, 520, 0, 0, 160, -388, -236, 0, 0, 204, 0, -770, 0, 0, 528, -450, 0, 0, 0, -280, -44, 1056, 0, 0, 0, -548, 0, 0, 0, 80, 318, 0, 0, 0, 0, -450, -120, 0, 0, -288, 0, 142, 0, 0, -36, 0, -492, 0, 0, 192, 0, 714, 0, 0, -520, -16, 0, 0, 0, 0, -130, 344, 0, 0, 0, 96, 0, 0, 0, 234, 486, 460, 0, 0, 0, 144, 40, 0, 0, -162, 0, 1012, 0, 0, 660, 346, -540, 0, 0, -16, 0, 792, 0, 0, 0, -464, 0, 0, 0, 432, -60, 0, 0, 0, 0, 840, 0, 0, 0, 384, 172, 332, 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: 38399138
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 19, 'target_dim': 80, 'target_embedding_index': 28, 'target_hecke_orbit_code': 4505386367320344, 'target_is_minimal': True, 'target_label': '280.2.ba.b.19.28', 'target_level': 280, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 38399139
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 719, 'target_dim': 80, 'target_embedding_index': 7, 'target_hecke_orbit_code': 4506485878948960, 'target_is_minimal': False, 'target_label': '1120.2.bq.b.719.7', 'target_level': 1120, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 38399140
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 19, 'target_dim': 80, 'target_embedding_index': 13, 'target_hecke_orbit_code': 4505386367320344, 'target_is_minimal': True, 'target_label': '280.2.ba.b.19.13', 'target_level': 280, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 38399141
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 59, 'target_dim': 80, 'target_embedding_index': 26, 'target_hecke_orbit_code': 4505386367320344, 'target_is_minimal': True, 'target_label': '280.2.ba.b.59.26', 'target_level': 280, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 38399142
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 19, 'target_dim': 80, 'target_embedding_index': 15, 'target_hecke_orbit_code': 4505386367320344, 'target_is_minimal': True, 'target_label': '280.2.ba.b.19.15', 'target_level': 280, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 38399143
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 719, 'target_dim': 80, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4506485878948960, 'target_is_minimal': False, 'target_label': '1120.2.bq.b.719.8', 'target_level': 1120, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 38399144
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 719, 'target_dim': 80, 'target_embedding_index': 33, 'target_hecke_orbit_code': 4506485878948960, 'target_is_minimal': False, 'target_label': '1120.2.bq.b.719.33', 'target_level': 1120, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 38399145
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 1039, 'target_dim': 80, 'target_embedding_index': 34, 'target_hecke_orbit_code': 4506485878948960, 'target_is_minimal': False, 'target_label': '1120.2.bq.b.1039.34', 'target_level': 1120, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '28.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 38399146
    {'conductor': 35, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 59, 'target_dim': 80, 'target_embedding_index': 15, 'target_hecke_orbit_code': 4505386367320344, 'target_is_minimal': True, 'target_label': '280.2.ba.b.59.15', 'target_level': 280, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '35.24', 'twisting_conrey_index': 24, 'weight': 2}
  • id: 38399147
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 19, 'target_dim': 80, 'target_embedding_index': 26, 'target_hecke_orbit_code': 4505386367320344, 'target_is_minimal': True, 'target_label': '280.2.ba.b.19.26', 'target_level': 280, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 38399148
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 719, 'target_dim': 80, 'target_embedding_index': 34, 'target_hecke_orbit_code': 4506485878948960, 'target_is_minimal': False, 'target_label': '1120.2.bq.b.719.34', 'target_level': 1120, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '40.29', 'twisting_conrey_index': 29, 'weight': 2}
  • id: 38399149
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 59, 'target_dim': 80, 'target_embedding_index': 13, 'target_hecke_orbit_code': 4505386367320344, 'target_is_minimal': True, 'target_label': '280.2.ba.b.59.13', 'target_level': 280, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '56.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 38399150
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 1039, 'target_dim': 80, 'target_embedding_index': 33, 'target_hecke_orbit_code': 4506485878948960, 'target_is_minimal': False, 'target_label': '1120.2.bq.b.1039.33', 'target_level': 1120, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '56.45', 'twisting_conrey_index': 45, 'weight': 2}
  • id: 38399151
    {'conductor': 140, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 1039, 'target_dim': 80, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4506485878948960, 'target_is_minimal': False, 'target_label': '1120.2.bq.b.1039.8', 'target_level': 1120, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '140.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 38399152
    {'conductor': 280, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 59, 'target_dim': 80, 'target_embedding_index': 28, 'target_hecke_orbit_code': 4505386367320344, 'target_is_minimal': True, 'target_label': '280.2.ba.b.59.28', 'target_level': 280, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '280.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 38399153
    {'conductor': 280, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 19, 'source_dim': 80, 'source_embedding_index': 28, 'source_hecke_orbit_code': 4505386367320344, 'source_is_minimal': True, 'source_label': '280.2.ba.b.19.28', 'source_level': 280, 'target_conrey_index': 1039, 'target_dim': 80, 'target_embedding_index': 7, 'target_hecke_orbit_code': 4506485878948960, 'target_is_minimal': False, 'target_label': '1120.2.bq.b.1039.7', 'target_level': 1120, 'twist_class_label': '280.2.ba.b.19.13', 'twist_class_level': 280, 'twisting_char_label': '280.269', 'twisting_conrey_index': 269, 'weight': 2}
• hecke_orbit_code 4505386367320344 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': '280.2.ba.b', 'level': 280, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25067257
    {'hecke_orbit_code': 4505386367320344, 'n': 1, 'trace_an': 80}
  • id: 25067258
    {'hecke_orbit_code': 4505386367320344, 'n': 2, 'trace_an': 0}
  • id: 25067259
    {'hecke_orbit_code': 4505386367320344, 'n': 3, 'trace_an': 0}
  • id: 25067260
    {'hecke_orbit_code': 4505386367320344, 'n': 4, 'trace_an': 6}
  • id: 25067261
    {'hecke_orbit_code': 4505386367320344, 'n': 5, 'trace_an': 0}
  • id: 25067262
    {'hecke_orbit_code': 4505386367320344, 'n': 6, 'trace_an': 0}
  • id: 25067263
    {'hecke_orbit_code': 4505386367320344, 'n': 7, 'trace_an': 0}
  • id: 25067264
    {'hecke_orbit_code': 4505386367320344, 'n': 8, 'trace_an': 0}
  • id: 25067265
    {'hecke_orbit_code': 4505386367320344, 'n': 9, 'trace_an': -52}
  • id: 25067266
    {'hecke_orbit_code': 4505386367320344, 'n': 10, 'trace_an': -12}
  • id: 25067267
    {'hecke_orbit_code': 4505386367320344, 'n': 11, 'trace_an': 0}
  • id: 25067268
    {'hecke_orbit_code': 4505386367320344, 'n': 12, 'trace_an': 0}
  • id: 25067269
    {'hecke_orbit_code': 4505386367320344, 'n': 13, 'trace_an': 0}
  • id: 25067270
    {'hecke_orbit_code': 4505386367320344, 'n': 14, 'trace_an': -6}
  • id: 25067271
    {'hecke_orbit_code': 4505386367320344, 'n': 15, 'trace_an': 0}
  • id: 25067272
    {'hecke_orbit_code': 4505386367320344, 'n': 16, 'trace_an': 10}
  • id: 25067273
    {'hecke_orbit_code': 4505386367320344, 'n': 17, 'trace_an': 0}
  • id: 25067274
    {'hecke_orbit_code': 4505386367320344, 'n': 18, 'trace_an': 0}
  • id: 25067275
    {'hecke_orbit_code': 4505386367320344, 'n': 19, 'trace_an': -48}
  • id: 25067276
    {'hecke_orbit_code': 4505386367320344, 'n': 20, 'trace_an': 0}
  • id: 25067277
    {'hecke_orbit_code': 4505386367320344, 'n': 21, 'trace_an': 0}
  • id: 25067278
    {'hecke_orbit_code': 4505386367320344, 'n': 22, 'trace_an': 0}
  • id: 25067279
    {'hecke_orbit_code': 4505386367320344, 'n': 23, 'trace_an': 0}
  • id: 25067280
    {'hecke_orbit_code': 4505386367320344, 'n': 24, 'trace_an': 12}
  • id: 25067281
    {'hecke_orbit_code': 4505386367320344, 'n': 25, 'trace_an': -22}
  • id: 25067282
    {'hecke_orbit_code': 4505386367320344, 'n': 26, 'trace_an': 54}
  • id: 25067283
    {'hecke_orbit_code': 4505386367320344, 'n': 27, 'trace_an': 0}
  • id: 25067284
    {'hecke_orbit_code': 4505386367320344, 'n': 28, 'trace_an': 0}
  • id: 25067285
    {'hecke_orbit_code': 4505386367320344, 'n': 29, 'trace_an': 0}
  • id: 25067286
    {'hecke_orbit_code': 4505386367320344, 'n': 30, 'trace_an': -20}
  • id: 25067287
    {'hecke_orbit_code': 4505386367320344, 'n': 31, 'trace_an': 0}
  • id: 25067288
    {'hecke_orbit_code': 4505386367320344, 'n': 32, 'trace_an': 0}
  • id: 25067289
    {'hecke_orbit_code': 4505386367320344, 'n': 33, 'trace_an': 0}
  • id: 25067290
    {'hecke_orbit_code': 4505386367320344, 'n': 34, 'trace_an': 0}
  • id: 25067291
    {'hecke_orbit_code': 4505386367320344, 'n': 35, 'trace_an': -22}
  • id: 25067292
    {'hecke_orbit_code': 4505386367320344, 'n': 36, 'trace_an': 28}
  • id: 25067293
    {'hecke_orbit_code': 4505386367320344, 'n': 37, 'trace_an': 0}
  • id: 25067294
    {'hecke_orbit_code': 4505386367320344, 'n': 38, 'trace_an': 0}
  • id: 25067295
    {'hecke_orbit_code': 4505386367320344, 'n': 39, 'trace_an': 0}
  • id: 25067296
    {'hecke_orbit_code': 4505386367320344, 'n': 40, 'trace_an': 12}
  • id: 25067297
    {'hecke_orbit_code': 4505386367320344, 'n': 41, 'trace_an': 0}
  • id: 25067298
    {'hecke_orbit_code': 4505386367320344, 'n': 42, 'trace_an': 0}
  • id: 25067299
    {'hecke_orbit_code': 4505386367320344, 'n': 43, 'trace_an': 0}
  • id: 25067300
    {'hecke_orbit_code': 4505386367320344, 'n': 44, 'trace_an': 38}
  • id: 25067301
    {'hecke_orbit_code': 4505386367320344, 'n': 45, 'trace_an': 0}
  • id: 25067302
    {'hecke_orbit_code': 4505386367320344, 'n': 46, 'trace_an': 14}
  • id: 25067303
    {'hecke_orbit_code': 4505386367320344, 'n': 47, 'trace_an': 0}
  • id: 25067304
    {'hecke_orbit_code': 4505386367320344, 'n': 48, 'trace_an': 0}
  • id: 25067305
    {'hecke_orbit_code': 4505386367320344, 'n': 49, 'trace_an': 16}
  • id: 25067306
    {'hecke_orbit_code': 4505386367320344, 'n': 50, 'trace_an': -40}
  • id: 25067307
    {'hecke_orbit_code': 4505386367320344, 'n': 51, 'trace_an': 20}
  • id: 25067308
    {'hecke_orbit_code': 4505386367320344, 'n': 52, 'trace_an': 0}
  • id: 25067309
    {'hecke_orbit_code': 4505386367320344, 'n': 53, 'trace_an': 0}
  • id: 25067310
    {'hecke_orbit_code': 4505386367320344, 'n': 54, 'trace_an': 60}
  • id: 25067311
    {'hecke_orbit_code': 4505386367320344, 'n': 55, 'trace_an': 0}
  • id: 25067312
    {'hecke_orbit_code': 4505386367320344, 'n': 56, 'trace_an': -104}
  • id: 25067313
    {'hecke_orbit_code': 4505386367320344, 'n': 57, 'trace_an': 0}
  • id: 25067314
    {'hecke_orbit_code': 4505386367320344, 'n': 58, 'trace_an': 0}
  • id: 25067315
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  • id: 25067316
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  • id: 25067317
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  • id: 25067318
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  • id: 25067319
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  • id: 25067320
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  • id: 25067321
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  • id: 25067322
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  • id: 25067323
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  • id: 25067324
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  • id: 25067325
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  • id: 25067326
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  • id: 25067327
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  • id: 25067328
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  • id: 25067329
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  • id: 25067330
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  • id: 25067331
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  • id: 25067332
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  • id: 25067333
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  • id: 25067334
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  • id: 25067335
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  • id: 25067336
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  • id: 25067337
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  • id: 25067338
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  • id: 25067339
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  • id: 25067340
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  • id: 25067341
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  • id: 25067342
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  • id: 25067343
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  • id: 25067344
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  • id: 25067345
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  • id: 25067346
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  • id: 25067347
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  • id: 25067348
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  • id: 25067349
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  • id: 25067350
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  • id: 25067351
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  • id: 25067352
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  • id: 25067353
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  • id: 25067354
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  • id: 25067355
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  • id: 25067356
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  • id: 25067357
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  • id: 25067358
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  • id: 25067359
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  • id: 25067360
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  • id: 25067361
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  • id: 25067362
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  • id: 25067363
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  • id: 25067364
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  • id: 25067365
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  • id: 25067366
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  • id: 25067367
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  • id: 25067368
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  • id: 25067369
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  • id: 25067370
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  • id: 25067371
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  • id: 25067372
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  • id: 25067373
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  • id: 25067374
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  • id: 25067375
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  • id: 25067376
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  • id: 25067377
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  • id: 25067378
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  • id: 25067379
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  • id: 25067380
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  • id: 25067381
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  • id: 25067382
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  • id: 25067383
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  • id: 25067384
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  • id: 25067385
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  • id: 25067386
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  • id: 25067387
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  • id: 25067388
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  • id: 25067389
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  • id: 25067390
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  • id: 25067391
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  • id: 25067392
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  • id: 25067393
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  • id: 25067394
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  • id: 25067395
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  • id: 25067396
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  • id: 25067397
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  • id: 25067398
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  • id: 25067399
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  • id: 25067400
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  • id: 25067401
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  • id: 25067402
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  • id: 25067403
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  • id: 25067404
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  • id: 25067405
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  • id: 25067406
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  • id: 25067407
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  • id: 25067408
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  • id: 25067409
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  • id: 25067410
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  • id: 25067411
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  • id: 25067412
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  • id: 25067413
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  • id: 25067414
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  • id: 25067415
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  • id: 25067416
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  • id: 25067417
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  • id: 25067418
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  • id: 25067419
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  • id: 25067420
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  • id: 25067421
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  • id: 25067422
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  • id: 25067423
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  • id: 25067424
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  • id: 25067425
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  • id: 25067426
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  • id: 25067427
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  • id: 25067428
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  • id: 25067429
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  • id: 25067430
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  • id: 25067431
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  • id: 25067432
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  • id: 25067433
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  • id: 25067434
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  • id: 25067435
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  • id: 25067436
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  • id: 25067437
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  • id: 25067438
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  • id: 25067439
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  • id: 25067440
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  • id: 25067441
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  • id: 25067442
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  • id: 25067443
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  • id: 25067444
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  • id: 25067445
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  • id: 25067446
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  • id: 25067447
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  • id: 25067448
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  • id: 25067449
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  • id: 25067450
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  • id: 25067451
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  • id: 25067452
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  • id: 25067453
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  • id: 25067454
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  • id: 25067455
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  • id: 25067456
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  • id: 25067457
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  • id: 25067458
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  • id: 25067459
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  • id: 25067460
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  • id: 25067461
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  • id: 25067462
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  • id: 25067463
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  • id: 25067464
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  • id: 25067465
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  • id: 25067466
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  • id: 25067467
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  • id: 25067468
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  • id: 25067469
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  • id: 25067470
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  • id: 25067471
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  • id: 25067472
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  • id: 25067473
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  • id: 25067474
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  • id: 25067475
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  • id: 25067476
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  • id: 25067477
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  • id: 25067478
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  • id: 25067479
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  • id: 25067480
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  • id: 25067481
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  • id: 25067482
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  • id: 25067483
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  • id: 25067484
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  • id: 25067485
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  • id: 25067486
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  • id: 25067487
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  • id: 25067488
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  • id: 25067489
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  • id: 25067490
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  • id: 25067491
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  • id: 25067492
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  • id: 25067493
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  • id: 25067494
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  • id: 25067495
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  • id: 25067496
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  • id: 25067497
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  • id: 25067498
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  • id: 25067499
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  • id: 25067500
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  • id: 25067501
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  • id: 25067502
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  • id: 25067503
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  • id: 25067504
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  • id: 25067505
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  • id: 25067506
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  • id: 25067507
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  • id: 25067508
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  • id: 25067509
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  • id: 25067510
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  • id: 25067511
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  • id: 25067512
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  • id: 25067513
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  • id: 25067514
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