Embedded newform data - 690.3.f.a.229.40

Formats: - HTML - YAML - JSON - 2024-06-04T00:30:34.544494

• 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': 6210, 'analytic_conductor': 18.801138240860485, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 115, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': -1, 'char_values': [690, 2, [461, 277, 511], [2, 1, 1]], 'cm_discs': [], 'conrey_index': 229, 'dim': 48, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 343647716018, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0], [1, 1, 23, 2, -1, 2, 0], [1, 1, 115, 3, -1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '690.3.f.a', 'level': 690, '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': True, 'level_primes': [2, 3, 5, 23], 'level_radical': 690, 'minimal_twist': '690.3.f.a', 'prim_orbit_index': 3, 'related_objects': [], 'relative_dim': 48, 'rm_discs': [], 'sato_tate_group': '2.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '690.3.f', 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, -96, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 96, 64, 0, 0, -152, 0, -8, 0, 0, 0, 56, 288, 0, 0, -48, 0, 40, 0, 0, 0, 0, -160, 0, 0, 424, 96, 0, 0, 0, 0, 32, 0, 0, 0, 360, 0, 0, 0, 0, -384, 0, 0, 0, 0, 192, -496, -152, 0, 0, 0, 144, 0, 0, 0, 0, 0, 432, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 256, 496, 0, 0, 0, 0, -192, 40, 0, 0, -128, 240, 0, 0, 0, 0, 352, 0, 0, 0, 0, 264, 304, 0, 0, -1352, 0, -1264, 0, 0, 16, 0, 0, 0, 0, 0, 0, 1328, 0, 0, 0, 0, 0, 0, 0, -1128, -112, 720, 0, 0, -576, 0, -128, 0, 0, 0, -48, 1008, 0, 0, -352, 0, 96, 0, 0, 0, 0, -824, 0, 0, -80, 240, 0, 0, 0, -1104, 544, 0, 0, 0, 192, 0, 0, 0, 0, -144, 0, 0, 0, 0, 320, -1688, 0, 0, 0, 0, -752, 0, 0, 0, 0, 0, -848, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 3296, 960, -1128, 0, 0, 0, -384, 0, 0, 0, 1296, -64, 0, 0, 0, 0, -288, 0, 0, 0, 0, -768, -240, 0, 0, -192, 0, -720, 0, 0, 328, 0, 0, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 768, 0, 0, -4152, 0, 456, 0, 0, 0, -872, 2304, 0, 0, 2312, 0, 1624, 0, 0, 0, 0, -384, 0, 0, 24, 992, 0, 0, 0, 304, 0, 0, 0, 0, -1720, 0, 0, 0, 0, 480, 0, 0, 0, 0, -896, -288, 752, 0, 0, 0, 2880, 0, 0, 0, 0, 0, -5168, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, -864, 4208, -128, 0, 0, 0, -672, 184, 0, 0, -800, 1784, 0, 0, 0, 0, 272, 0, 0, 0, 0, 264, 1424, 0, 0, -1592, 0, 144, 0, 0, -1680, 0, 0, 0, 0, 0, 0, -3840, 0, 0, 0, 0, 0, 0, 0, -120, -848, -3912, 0, 0, 2240, 0, -512, 0, 0, 0, -992, 1536, 0, 0, 0, 0, 1344, 0, 0, 0, 0, 600, 0, 0, -2288, 2544, 0, 0, 0, -144, 384, 0, 0, 0, -80, 0, 0, 0, 0, 392, 0, 0, 0, 0, 480, 2680, 256, 0, 0, 0, -480, 0, 0, 0, 0, 0, 1680, 0, 0, 0, -1264, 0, 0, 0, 0, 0, 0, 0, 0, 3184, -704, -1272, 0, 0, 0, -3840, 2624, 0, 0, 9032, -288, 0, 0, 0, 0, -3552, 0, 0, 0, 0, -528, -3200, 0, 0, -608, 0, 3664, 0, 0, -3336, 0, 0, 0, 0, 0, 0, 2704, 0, 0, 0, 0, 0, 0, 0, 2528, -2304, 0, 0, 0, -2448, 0, -1048, 0, 0, 0, -96, -32, 0, 0, 9272, 0, 2160, 0, 0, 0, 0, -3136, 0, 0, -6752, 144, 0, 0, 0, 1904, -1984, 0, 0, 0, -672, 0, 0, 0, 0, -2656, 0, 0, 0, 0, 5840, -3808, -1080, 0, 0, 0, 5144, 0, 0, 0, 0, 0, -2736, 0, 0, 0, -1600, 0, 0, 0, 0, 0, 0, 0, 0, 4992, 2064, 2256, 0, 0, 0, 224, -720, 0, 0, -1440, -1144, 0, 0, 0, 0, 528, 0, 0, 0, 0, -4656, 1152, 0, 0, -384, 0, 5992, 0, 0, 256, 0, 0, 0, 0, 0, 0, -6720, 0, 0, 0, 0, 0, 0, 0, 4720, 96, 2920, 0, 0, -2016, 0, 1824, 0, 0, 0, -4064, -8352, 0, 0, -960, 0, 704, 0, 0, 0, 0, -576, 0, 0, -192, 5568, 0, 0, 0, 9544, 1488, 0, 0, 0, 432, 0, 0, 0, 0, 456, 0, 0, 0, 0, 1648, 5184, -7360, 0, 0, 0, 1920, 0, 0, 0, 0, 0, 160, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 0, -3696, 1296, 8160, 0, 0, 0, -432, 2208, 0, 0, 11152, -1088, 0, 0, 0, 0, 160, 0, 0, 0, 0, -624, 80, 0, 0, -5760, 0, -384, 0, 0, -6240, 0, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, -864, -8128, 288, 0, 0, -760, 0, 1488, 0, 0, 0, -5080, -192, 0, 0, -1296, 0, -8720, 0, 0, 0, 0, -640, 0, 0, -12328, 3376, 0, 0, 0, 0, 8528, 0, 0, 0, -10200, 0, 0, 0, 0, 3008, 0, 0, 0, 0, 5328, 1504, -3064, 0, 0, 0, 408, 0, 0, 0, 0, 0, 2256, 0, 0, 0, -4744, 0, 0, 0, 0, 0, 0, 0, 0, 1696, 8, 144, 0, 0, 0, 2352, 2040, 0, 0, 2880, -960, 0, 0, 0, 0, 384, 0, 0, 0, 0, -1472, 2656, 0, 0, -9624, 0, 3704, 0, 0, -9216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2856, -5056, 3744, 0, 0, -2112, 0, -6592, 0, 0, 0, -1920, -888, 0, 0, 2256, 0, -768, 0, 0, 0, 0, 7080, 0, 0, -8288, -1488, 0, 0, 0, 3256, 768, 0, 0, 0, 0, 0, 0, 0, 0, -9248, 0, 0, 0, 0, 5872, -8328, -2592, 0, 0, 0, 128, 0, 0, 0, 0, 0, 9568, 0, 0, 0, -9568, 0, 0, 0, 0, 0, 0, 0, 0, 18264, 576, 5496, 0, 0, 0, 96, -1056, 0, 0, -120, -3680, 0, 0, 0, 0, 3024, 0, 0, 0, 0, 1536, -2304, 0, 0, 480, 0, 5664, 0, 0, 3176, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 1440, -720, 7712, 0, 0, -9824, 0, 1200, 0, 0, 0, -2784, -656, 0, 0, 6032, 0, 2088, 0, 0, 0, 0, -2208, 0, 0, -12336, -496, 0, 0, 0, 8672, 6768, 0, 0, 0, -3136, 0, 0, 0, 0, 960, 0, 0, 0, 0, 1696, -1056, -4744, 0, 0, 0, 2608, 0, 0, 0, 0, 0], 'weight': 3, 'weight_parity': -1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.7071067811865476], [0.0, 0.5773502691896257], [-0.5, 0.0], [0.9996368873573414, -0.026946120955085105], [-0.408248290463863, 0.0], [-1.58193189167298, 0.0], [0.0, -0.3535533905932738], [-0.3333333333333333, 0.0], [0.019053784854013607, 0.706850021774589], [0.0, -0.8583096796750476], [0.0, -0.28867513459481287], [0.0, -1.7208243264251943], [0.0, -1.1185947679772272], [0.0155573501870346, 0.5771406260076406], [0.25, 0.0], [1.7239134446824842, 0.0], [0.0, -0.23570226039551584], [0.0, 1.6768918409641205], [-0.4998184436786707, 0.013473060477542553], [0.0, -0.9133288034970489], [0.6069165948562796, 0.0], [0.899175816117688, -0.437587536053176], [0.2041241452319315, 0.0], [0.9985478131309479, -0.05387267295579141], [1.216806550446028, 0.0], [0.0, -0.19245008972987526], [0.79096594583649, 0.0], [0.7517331991517113, 0.0], [-0.4081000503482518, 0.011000707814545969], [-1.0940313563504012, 0.0], [0.0, 0.1767766952966369], [0.4955453246084502, 0.0], [0.0, 1.2189908869136448], [-1.5813574722032888, 0.042626928095726706], [0.16666666666666666, 0.0], [0.2051867957164764, 0.0], [-1.1857415920621233, 0.0], [0.9935183880896424, 0.0], [-0.009526892427006804, -0.3534250108872945], [1.3601142233024277, 0.0], [0.645820990405759, 0.0], [-0.5134133814469956, 0.0], [0.0, 0.4291548398375238], [-0.33321229578578043, 0.008982040318361702], [0.3094211141059136, 0.6358133170557654], [0.0, -1.6439280946697257], [0.0, 0.14433756729740643], [1.5025085098920534, 0.0], [0.03809373236768523, 0.7060799300038907], [0.0, 0.9953018913470473], [0.0, 0.8604121632125972], [-0.7395351854177992, 0.0], [0.13608276348795434, 0.0], [-0.023128116445444182, -0.8579980165790413], [0.0, 0.5592973839886136], [-0.9681539557825221, 0.0], [0.0, 0.5315556427632325], [1.1914407589315765, 0.0], [-0.0077786750935173, -0.2885703130038203], [0.0, -0.5231847780058413], [0.0, -0.7735969909060849], [0.52731063055766, 0.0], [-0.125, 0.0], [-0.04636954044230614, -1.7201994733564747], [0.0, 0.35040345941592405], [0.32814662141015594, 0.0], [-0.8619567223412421, 0.0], [0.25264128173432626, 0.5191393994843486], [-0.03014178991763972, -1.1181885920749628], [-0.44040386415197025, 0.0], [0.0, 0.11785113019775792], [0.0, -0.8775273864839362], [0.0, 0.1450889746610593], [0.03110340223299084, 0.5765118487098648], [0.0, -0.8384459204820602], [0.0, 1.3577874552095777], [0.0, 0.7025235894517141], [0.0, -0.11316231948801693], [0.24990922183933534, -0.006736530238771276], [0.1111111111111111, 0.0], [0.0, 0.9617459904854208], [0.07993117056024296, 0.0], [0.0, 0.45666440174852446], [1.723287469915871, -0.04645278019651163], [0.0, -0.36303808357308615], [0.0, 0.4340133648890191], [-0.3034582974281398, 0.0], [0.0, 1.7222619886066706], [-0.006351261618004535, -0.235616673924863], [0.0, 2.7222268819386897], [-0.449587908058844, 0.218793768026588], [0.0, -0.6316392980907956], [1.1624327035240436, 0.0], [0.04518573037521452, 1.676282940336295], [-0.10206207261596575, 0.0], [0.7322494088511006, 0.0], [0.0, 1.0624339561351657], [0.0, 0.2861032265583492], [-0.49927390656547393, 0.026936336477895704], [-1.3663917185620214, 0.0], [-0.7037847166992934, 0.0], [0.13866758100822527, 0.0], [-0.608403275223014, 0.0], [-0.024610668410794637, -0.9129971622615949], [0.0, -0.5229303445349766], [1.6403457959122987, 0.0], [0.0, 0.09622504486493763], [0.0, -1.4950335774398265], [0.6066962157676479, -0.01635404797464569], [0.0, 0.11846465174106441], [-0.395482972918245, 0.0], [-0.590387015130239, 0.0], [0.0, -0.6845882273664022], [0.8870580273359563, -0.46165794278755984], [-0.37586659957585566, 0.0], [0.0, 0.5736081088083981], [0.0, 0.8424758400225645], [-2.7271136566270457, 0.0], [0.2040500251741259, -0.0055003539072729845], [0.26330449377611714, 0.0], [0.36994750434150886, 0.0], [0.0, 0.7852623129522954], [0.5470156781752006, 0.0], [0.9967335682340603, -0.08076010125920959], [0.0, 0.3728649226590757], [0.0, -0.2565036057847897], [0.0, -0.08838834764831845], [0.0, -0.2964193539839789], [1.216364712603891, -0.032788216487258534], [0.9227078987958048, 0.0], [-0.2477726623042251, 0.0], [0.0, -2.652728682107357], [0.0, 0.23203470122257597], [-0.0051857833956782005, -0.19238020866921354], [0.0, -0.6094954434568224], [-0.12727123783587185, 0.0], [-0.367086989756495, 0.17864436352200314], [-1.0094683986533801, 0.0], [0.7906787361016444, -0.021313464047863353], [0.9491223279859546, 0.0], [0.0, -0.3114125588026172], [-1.477000176391038, 0.0], [-0.08333333333333333, 0.0], [0.7514602353231932, -0.02025629371029509], [0.6205055656596996, 0.0], [0.0, 0.8674736926458805], [-0.1025933978582382, 0.0], [0.0, 0.22128254267514913], [-0.4076554376571384, 0.021993426636920627], [1.5987322783152589, 0.0], [0.5928707960310616, 0.0], [-0.5746378148941614, 0.0], [-0.960100716988718, 0.0], [-1.0936340997334453, 0.029479901256873723], [-0.4967591940448212, 0.0], [0.43212339163209984, 0.0], [0.08001784348477536, 0.0], [0.0, -0.4269708383761662], [0.004763446213503402, 0.17671250544364725], [-1.42243489973765, 0.6922336786811192], [0.0, 0.07856742013183861], [0.0, -1.362324133547753], [-0.6800571116512139, 0.0], [0.4953653858360745, -0.01335302425562621], [0.0, 0.056519872731326325], [0.0, -1.3372514088560457], [-0.3229104952028795, 0.0], [-1.9612363624167237, 0.0], [0.03284707588192154, 1.2185482559113208], [0.0, -0.5589639469880402], [0.2567066907234978, 0.0], [0.0, -0.17831017765220014], [-0.30689379343861684, 0.0], [-1.5796346309521578, 0.08522289943843489], [0.0, -0.2145774199187619], [0.0, 0.6878786428926378], [-1.2178231311236052, 0.0], [0.3084968291930195, 0.0], [0.16660614789289022, -0.004491020159180851], [0.0, 0.2527551441653355], [-1.9249050881471585, 0.0], [0.30206087241758706, 0.0], [-0.1547105570529568, -0.3179066585278827], [0.20511228979684515, -0.0055289882157625115], [0.44663643094391264, 0.0], [0.0, -1.4796515964929309], [0.0, 0.8219640473348628], [0.0, 0.3044429344990163], [-1.185311034299119, 0.03195113636118115], [0.0, 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-0.22058455002169922, 0.008477187935739773, 0.1256365579850013, 0.17137611842627673, 0.1529102711482172, 0.031626959969130015, -0.2672324874628385, -0.2645108832074618, 0.08893715877290448, -0.13025171473433594, -0.28234231948180055, 0.016519543702412605, 0.13141542295689926, 0.09525127739081168, -0.3274248721233207, 0.04113637484107401, -0.3783466442570046, -0.38083717894468916, 0.01867548125768478, 0.03269643250819382, -0.2538242207946, 0.13662734922803282, -0.18737994631754254, 0.012043038730032587, 0.006997403910064884, -0.23467380566192708, -0.3963833609211223, -0.18726700609375452, -0.3034531731894593, -0.14846920063464822, -0.35034309213822984, -0.27037046244535146, -0.2943596886275075, 0.05898142248674361, -0.37837662310707715, -0.16569662784224917, -0.4151056895117552, -0.08028110530100697, -0.22354035373098077, -0.37330789512522966, -0.3150487556921607, -0.3068681180404617, -0.14605907101023494, -0.4878350664110967, 0.09160335392099823, -0.38095707676945134, -0.1627996584991161, 0.029159463292244413, -0.4498176374933948, -0.4026052823602012, 0.10862192487910019, 0.012777934301000087, -0.3839775876096532, -0.32188622275649986, 0.18352554082336986, -0.2666165979797369, -0.26093617212721537, 0.14777229186906488, -0.4749758193818749, -0.19478411360369366, 0.07222244939960236, -0.416938762046303, -0.31198524719750287, -0.13634301510405225, -0.25982114455768485, 0.21800807063584351], 'char_orbit_index': 6, 'conrey_index': 229, 'dual_conrey_index': 229, 'dual_embedding_index': 38, 'dual_embedding_m': 38, 'embedding_index': 40, 'embedding_m': 40, 'hecke_orbit': 1, 'hecke_orbit_code': 343647716018, 'label': '690.3.f.a.229.40', 'level': 690, 'weight': 3}
• 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': 6210, 'analytic_conductor': 18.801138240860485, 'char_conductor': 115, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': -1, 'char_values': [690, 2, [461, 277, 511], [2, 1, 1]], 'conrey_index': 229, 'cusp_dim': 280, 'dim': 48, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_orbit_code': 343647716018, 'hecke_orbit_dims': [48], 'label': '690.3.f', 'level': 690, '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': True, 'level_primes': [2, 3, 5, 23], 'level_radical': 690, 'mf_dim': 296, 'mf_new_dim': 48, 'num_forms': 1, 'prim_orbit_index': 3, 'relative_dim': 48, 'sturm_bound': 432, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, -96, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 96, 64, 0, 0, -152, 0, -8, 0, 0, 0, 56, 288, 0, 0, -48, 0, 40, 0, 0, 0, 0, -160, 0, 0, 424, 96, 0, 0, 0, 0, 32, 0, 0, 0, 360, 0, 0, 0, 0, -384, 0, 0, 0, 0, 192, -496, -152, 0, 0, 0, 144, 0, 0, 0, 0, 0, 432, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 256, 496, 0, 0, 0, 0, -192, 40, 0, 0, -128, 240, 0, 0, 0, 0, 352, 0, 0, 0, 0, 264, 304, 0, 0, -1352, 0, -1264, 0, 0, 16, 0, 0, 0, 0, 0, 0, 1328, 0, 0, 0, 0, 0, 0, 0, -1128, -112, 720, 0, 0, -576, 0, -128, 0, 0, 0, -48, 1008, 0, 0, -352, 0, 96, 0, 0, 0, 0, -824, 0, 0, -80, 240, 0, 0, 0, -1104, 544, 0, 0, 0, 192, 0, 0, 0, 0, -144, 0, 0, 0, 0, 320, -1688, 0, 0, 0, 0, -752, 0, 0, 0, 0, 0, -848, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 3296, 960, -1128, 0, 0, 0, -384, 0, 0, 0, 1296, -64, 0, 0, 0, 0, -288, 0, 0, 0, 0, -768, -240, 0, 0, -192, 0, -720, 0, 0, 328, 0, 0, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 768, 0, 0, -4152, 0, 456, 0, 0, 0, -872, 2304, 0, 0, 2312, 0, 1624, 0, 0, 0, 0, -384, 0, 0, 24, 992, 0, 0, 0, 304, 0, 0, 0, 0, -1720, 0, 0, 0, 0, 480, 0, 0, 0, 0, -896, -288, 752, 0, 0, 0, 2880, 0, 0, 0, 0, 0, -5168, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, -864, 4208, -128, 0, 0, 0, -672, 184, 0, 0, -800, 1784, 0, 0, 0, 0, 272, 0, 0, 0, 0, 264, 1424, 0, 0, -1592, 0, 144, 0, 0, -1680, 0, 0, 0, 0, 0, 0, -3840, 0, 0, 0, 0, 0, 0, 0, -120, -848, -3912, 0, 0, 2240, 0, -512, 0, 0, 0, -992, 1536, 0, 0, 0, 0, 1344, 0, 0, 0, 0, 600, 0, 0, -2288, 2544, 0, 0, 0, -144, 384, 0, 0, 0, -80, 0, 0, 0, 0, 392, 0, 0, 0, 0, 480, 2680, 256, 0, 0, 0, -480, 0, 0, 0, 0, 0, 1680, 0, 0, 0, -1264, 0, 0, 0, 0, 0, 0, 0, 0, 3184, -704, -1272, 0, 0, 0, -3840, 2624, 0, 0, 9032, -288, 0, 0, 0, 0, -3552, 0, 0, 0, 0, -528, -3200, 0, 0, -608, 0, 3664, 0, 0, -3336, 0, 0, 0, 0, 0, 0, 2704, 0, 0, 0, 0, 0, 0, 0, 2528, -2304, 0, 0, 0, -2448, 0, -1048, 0, 0, 0, -96, -32, 0, 0, 9272, 0, 2160, 0, 0, 0, 0, -3136, 0, 0, -6752, 144, 0, 0, 0, 1904, -1984, 0, 0, 0, -672, 0, 0, 0, 0, -2656, 0, 0, 0, 0, 5840, -3808, -1080, 0, 0, 0, 5144, 0, 0, 0, 0, 0, -2736, 0, 0, 0, -1600, 0, 0, 0, 0, 0, 0, 0, 0, 4992, 2064, 2256, 0, 0, 0, 224, -720, 0, 0, -1440, -1144, 0, 0, 0, 0, 528, 0, 0, 0, 0, -4656, 1152, 0, 0, -384, 0, 5992, 0, 0, 256, 0, 0, 0, 0, 0, 0, -6720, 0, 0, 0, 0, 0, 0, 0, 4720, 96, 2920, 0, 0, -2016, 0, 1824, 0, 0, 0, -4064, -8352, 0, 0, -960, 0, 704, 0, 0, 0, 0, -576, 0, 0, -192, 5568, 0, 0, 0, 9544, 1488, 0, 0, 0, 432, 0, 0, 0, 0, 456, 0, 0, 0, 0, 1648, 5184, -7360, 0, 0, 0, 1920, 0, 0, 0, 0, 0, 160, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 0, -3696, 1296, 8160, 0, 0, 0, -432, 2208, 0, 0, 11152, -1088, 0, 0, 0, 0, 160, 0, 0, 0, 0, -624, 80, 0, 0, -5760, 0, -384, 0, 0, -6240, 0, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, -864, -8128, 288, 0, 0, -760, 0, 1488, 0, 0, 0, -5080, -192, 0, 0, -1296, 0, -8720, 0, 0, 0, 0, -640, 0, 0, -12328, 3376, 0, 0, 0, 0, 8528, 0, 0, 0, -10200, 0, 0, 0, 0, 3008, 0, 0, 0, 0, 5328, 1504, -3064, 0, 0, 0, 408, 0, 0, 0, 0, 0, 2256, 0, 0, 0, -4744, 0, 0, 0, 0, 0, 0, 0, 0, 1696, 8, 144, 0, 0, 0, 2352, 2040, 0, 0, 2880, -960, 0, 0, 0, 0, 384, 0, 0, 0, 0, -1472, 2656, 0, 0, -9624, 0, 3704, 0, 0, -9216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2856, -5056, 3744, 0, 0, -2112, 0, -6592, 0, 0, 0, -1920, -888, 0, 0, 2256, 0, -768, 0, 0, 0, 0, 7080, 0, 0, -8288, -1488, 0, 0, 0, 3256, 768, 0, 0, 0, 0, 0, 0, 0, 0, -9248, 0, 0, 0, 0, 5872, -8328, -2592, 0, 0, 0, 128, 0, 0, 0, 0, 0, 9568, 0, 0, 0, -9568, 0, 0, 0, 0, 0, 0, 0, 0, 18264, 576, 5496, 0, 0, 0, 96, -1056, 0, 0, -120, -3680, 0, 0, 0, 0, 3024, 0, 0, 0, 0, 1536, -2304, 0, 0, 480, 0, 5664, 0, 0, 3176, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 1440, -720, 7712, 0, 0, -9824, 0, 1200, 0, 0, 0, -2784, -656, 0, 0, 6032, 0, 2088, 0, 0, 0, 0, -2208, 0, 0, -12336, -496, 0, 0, 0, 8672, 6768, 0, 0, 0, -3136, 0, 0, 0, 0, 960, 0, 0, 0, 0, 1696, -1056, -4744, 0, 0, 0, 2608, 0, 0, 0, 0, 0], 'weight': 3, 'weight_parity': -1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 3580831
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 229, 'source_dim': 48, 'source_embedding_index': 40, 'source_hecke_orbit_code': 343647716018, 'source_is_minimal': True, 'source_label': '690.3.f.a.229.40', 'source_level': 690, 'target_conrey_index': 229, 'target_dim': 48, 'target_embedding_index': 40, 'target_hecke_orbit_code': 343647716018, 'target_is_minimal': True, 'target_label': '690.3.f.a.229.40', 'target_level': 690, 'twist_class_label': '690.3.f.a.229.37', 'twist_class_level': 690, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 3580832
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 229, 'source_dim': 48, 'source_embedding_index': 40, 'source_hecke_orbit_code': 343647716018, 'source_is_minimal': True, 'source_label': '690.3.f.a.229.40', 'source_level': 690, 'target_conrey_index': 229, 'target_dim': 48, 'target_embedding_index': 37, 'target_hecke_orbit_code': 343647716018, 'target_is_minimal': True, 'target_label': '690.3.f.a.229.37', 'target_level': 690, 'twist_class_label': '690.3.f.a.229.37', 'twist_class_level': 690, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 3}
  • id: 3580833
    {'conductor': 23, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 229, 'source_dim': 48, 'source_embedding_index': 40, 'source_hecke_orbit_code': 343647716018, 'source_is_minimal': True, 'source_label': '690.3.f.a.229.40', 'source_level': 690, 'target_conrey_index': 229, 'target_dim': 48, 'target_embedding_index': 39, 'target_hecke_orbit_code': 343647716018, 'target_is_minimal': True, 'target_label': '690.3.f.a.229.39', 'target_level': 690, 'twist_class_label': '690.3.f.a.229.37', 'twist_class_level': 690, 'twisting_char_label': '23.22', 'twisting_conrey_index': 22, 'weight': 3}
  • id: 3580834
    {'conductor': 115, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 229, 'source_dim': 48, 'source_embedding_index': 40, 'source_hecke_orbit_code': 343647716018, 'source_is_minimal': True, 'source_label': '690.3.f.a.229.40', 'source_level': 690, 'target_conrey_index': 229, 'target_dim': 48, 'target_embedding_index': 38, 'target_hecke_orbit_code': 343647716018, 'target_is_minimal': True, 'target_label': '690.3.f.a.229.38', 'target_level': 690, 'twist_class_label': '690.3.f.a.229.37', 'twist_class_level': 690, 'twisting_char_label': '115.114', 'twisting_conrey_index': 114, 'weight': 3}
• hecke_orbit_code 343647716018 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': 6, 'hecke_orbit': 1, 'label': '690.3.f.a', 'level': 690, 'portrait': 'data:image/png;base64,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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 8372166
    {'hecke_orbit_code': 343647716018, 'n': 1, 'trace_an': 48}
  • id: 8372167
    {'hecke_orbit_code': 343647716018, 'n': 2, 'trace_an': 0}
  • id: 8372168
    {'hecke_orbit_code': 343647716018, 'n': 3, 'trace_an': 0}
  • id: 8372169
    {'hecke_orbit_code': 343647716018, 'n': 4, 'trace_an': -96}
  • id: 8372170
    {'hecke_orbit_code': 343647716018, 'n': 5, 'trace_an': 0}
  • id: 8372171
    {'hecke_orbit_code': 343647716018, 'n': 6, 'trace_an': 0}
  • id: 8372172
    {'hecke_orbit_code': 343647716018, 'n': 7, 'trace_an': 0}
  • id: 8372173
    {'hecke_orbit_code': 343647716018, 'n': 8, 'trace_an': 0}
  • id: 8372174
    {'hecke_orbit_code': 343647716018, 'n': 9, 'trace_an': -144}
  • id: 8372175
    {'hecke_orbit_code': 343647716018, 'n': 10, 'trace_an': 0}
  • id: 8372176
    {'hecke_orbit_code': 343647716018, 'n': 11, 'trace_an': 0}
  • id: 8372177
    {'hecke_orbit_code': 343647716018, 'n': 12, 'trace_an': 0}
  • id: 8372178
    {'hecke_orbit_code': 343647716018, 'n': 13, 'trace_an': 0}
  • id: 8372179
    {'hecke_orbit_code': 343647716018, 'n': 14, 'trace_an': 0}
  • id: 8372180
    {'hecke_orbit_code': 343647716018, 'n': 15, 'trace_an': 0}
  • id: 8372181
    {'hecke_orbit_code': 343647716018, 'n': 16, 'trace_an': 192}
  • id: 8372182
    {'hecke_orbit_code': 343647716018, 'n': 17, 'trace_an': 0}
  • id: 8372183
    {'hecke_orbit_code': 343647716018, 'n': 18, 'trace_an': 0}
  • id: 8372184
    {'hecke_orbit_code': 343647716018, 'n': 19, 'trace_an': 0}
  • id: 8372185
    {'hecke_orbit_code': 343647716018, 'n': 20, 'trace_an': 0}
  • id: 8372186
    {'hecke_orbit_code': 343647716018, 'n': 21, 'trace_an': 0}
  • id: 8372187
    {'hecke_orbit_code': 343647716018, 'n': 22, 'trace_an': 0}
  • id: 8372188
    {'hecke_orbit_code': 343647716018, 'n': 23, 'trace_an': 0}
  • id: 8372189
    {'hecke_orbit_code': 343647716018, 'n': 24, 'trace_an': 0}
  • id: 8372190
    {'hecke_orbit_code': 343647716018, 'n': 25, 'trace_an': 96}
  • id: 8372191
    {'hecke_orbit_code': 343647716018, 'n': 26, 'trace_an': 64}
  • id: 8372192
    {'hecke_orbit_code': 343647716018, 'n': 27, 'trace_an': 0}
  • id: 8372193
    {'hecke_orbit_code': 343647716018, 'n': 28, 'trace_an': 0}
  • id: 8372194
    {'hecke_orbit_code': 343647716018, 'n': 29, 'trace_an': -152}
  • id: 8372195
    {'hecke_orbit_code': 343647716018, 'n': 30, 'trace_an': 0}
  • id: 8372196
    {'hecke_orbit_code': 343647716018, 'n': 31, 'trace_an': -8}
  • id: 8372197
    {'hecke_orbit_code': 343647716018, 'n': 32, 'trace_an': 0}
  • id: 8372198
    {'hecke_orbit_code': 343647716018, 'n': 33, 'trace_an': 0}
  • id: 8372199
    {'hecke_orbit_code': 343647716018, 'n': 34, 'trace_an': 0}
  • id: 8372200
    {'hecke_orbit_code': 343647716018, 'n': 35, 'trace_an': 56}
  • id: 8372201
    {'hecke_orbit_code': 343647716018, 'n': 36, 'trace_an': 288}
  • id: 8372202
    {'hecke_orbit_code': 343647716018, 'n': 37, 'trace_an': 0}
  • id: 8372203
    {'hecke_orbit_code': 343647716018, 'n': 38, 'trace_an': 0}
  • id: 8372204
    {'hecke_orbit_code': 343647716018, 'n': 39, 'trace_an': -48}
  • id: 8372205
    {'hecke_orbit_code': 343647716018, 'n': 40, 'trace_an': 0}
  • id: 8372206
    {'hecke_orbit_code': 343647716018, 'n': 41, 'trace_an': 40}
  • id: 8372207
    {'hecke_orbit_code': 343647716018, 'n': 42, 'trace_an': 0}
  • id: 8372208
    {'hecke_orbit_code': 343647716018, 'n': 43, 'trace_an': 0}
  • id: 8372209
    {'hecke_orbit_code': 343647716018, 'n': 44, 'trace_an': 0}
  • id: 8372210
    {'hecke_orbit_code': 343647716018, 'n': 45, 'trace_an': 0}
  • id: 8372211
    {'hecke_orbit_code': 343647716018, 'n': 46, 'trace_an': -160}
  • id: 8372212
    {'hecke_orbit_code': 343647716018, 'n': 47, 'trace_an': 0}
  • id: 8372213
    {'hecke_orbit_code': 343647716018, 'n': 48, 'trace_an': 0}
  • id: 8372214
    {'hecke_orbit_code': 343647716018, 'n': 49, 'trace_an': 424}
  • id: 8372215
    {'hecke_orbit_code': 343647716018, 'n': 50, 'trace_an': 96}
  • id: 8372216
    {'hecke_orbit_code': 343647716018, 'n': 51, 'trace_an': 0}
  • id: 8372217
    {'hecke_orbit_code': 343647716018, 'n': 52, 'trace_an': 0}
  • id: 8372218
    {'hecke_orbit_code': 343647716018, 'n': 53, 'trace_an': 0}
  • id: 8372219
    {'hecke_orbit_code': 343647716018, 'n': 54, 'trace_an': 0}
  • id: 8372220
    {'hecke_orbit_code': 343647716018, 'n': 55, 'trace_an': 32}
  • id: 8372221
    {'hecke_orbit_code': 343647716018, 'n': 56, 'trace_an': 0}
  • id: 8372222
    {'hecke_orbit_code': 343647716018, 'n': 57, 'trace_an': 0}
  • id: 8372223
    {'hecke_orbit_code': 343647716018, 'n': 58, 'trace_an': 0}
  • id: 8372224
    {'hecke_orbit_code': 343647716018, 'n': 59, 'trace_an': 360}
  • id: 8372225
    {'hecke_orbit_code': 343647716018, 'n': 60, 'trace_an': 0}
  • id: 8372226
    {'hecke_orbit_code': 343647716018, 'n': 61, 'trace_an': 0}
  • id: 8372227
    {'hecke_orbit_code': 343647716018, 'n': 62, 'trace_an': 0}
  • id: 8372228
    {'hecke_orbit_code': 343647716018, 'n': 63, 'trace_an': 0}
  • id: 8372229
    {'hecke_orbit_code': 343647716018, 'n': 64, 'trace_an': -384}
  • id: 8372230
    {'hecke_orbit_code': 343647716018, 'n': 65, 'trace_an': 0}
  • id: 8372231
    {'hecke_orbit_code': 343647716018, 'n': 66, 'trace_an': 0}
  • id: 8372232
    {'hecke_orbit_code': 343647716018, 'n': 67, 'trace_an': 0}
  • id: 8372233
    {'hecke_orbit_code': 343647716018, 'n': 68, 'trace_an': 0}
  • id: 8372234
    {'hecke_orbit_code': 343647716018, 'n': 69, 'trace_an': 192}
  • id: 8372235
    {'hecke_orbit_code': 343647716018, 'n': 70, 'trace_an': -496}
  • id: 8372236
    {'hecke_orbit_code': 343647716018, 'n': 71, 'trace_an': -152}
  • id: 8372237
    {'hecke_orbit_code': 343647716018, 'n': 72, 'trace_an': 0}
  • id: 8372238
    {'hecke_orbit_code': 343647716018, 'n': 73, 'trace_an': 0}
  • id: 8372239
    {'hecke_orbit_code': 343647716018, 'n': 74, 'trace_an': 0}
  • id: 8372240
    {'hecke_orbit_code': 343647716018, 'n': 75, 'trace_an': 144}
  • id: 8372241
    {'hecke_orbit_code': 343647716018, 'n': 76, 'trace_an': 0}
  • id: 8372242
    {'hecke_orbit_code': 343647716018, 'n': 77, 'trace_an': 0}
  • id: 8372243
    {'hecke_orbit_code': 343647716018, 'n': 78, 'trace_an': 0}
  • id: 8372244
    {'hecke_orbit_code': 343647716018, 'n': 79, 'trace_an': 0}
  • id: 8372245
    {'hecke_orbit_code': 343647716018, 'n': 80, 'trace_an': 0}
  • id: 8372246
    {'hecke_orbit_code': 343647716018, 'n': 81, 'trace_an': 432}
  • id: 8372247
    {'hecke_orbit_code': 343647716018, 'n': 82, 'trace_an': 0}
  • id: 8372248
    {'hecke_orbit_code': 343647716018, 'n': 83, 'trace_an': 0}
  • id: 8372249
    {'hecke_orbit_code': 343647716018, 'n': 84, 'trace_an': 0}
  • id: 8372250
    {'hecke_orbit_code': 343647716018, 'n': 85, 'trace_an': -136}
  • id: 8372251
    {'hecke_orbit_code': 343647716018, 'n': 86, 'trace_an': 0}
  • id: 8372252
    {'hecke_orbit_code': 343647716018, 'n': 87, 'trace_an': 0}
  • id: 8372253
    {'hecke_orbit_code': 343647716018, 'n': 88, 'trace_an': 0}
  • id: 8372254
    {'hecke_orbit_code': 343647716018, 'n': 89, 'trace_an': 0}
  • id: 8372255
    {'hecke_orbit_code': 343647716018, 'n': 90, 'trace_an': 0}
  • id: 8372256
    {'hecke_orbit_code': 343647716018, 'n': 91, 'trace_an': 0}
  • id: 8372257
    {'hecke_orbit_code': 343647716018, 'n': 92, 'trace_an': 0}
  • id: 8372258
    {'hecke_orbit_code': 343647716018, 'n': 93, 'trace_an': 0}
  • id: 8372259
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  • id: 8372260
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  • id: 8372261
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  • id: 8372264
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  • id: 8372265
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  • id: 8372266
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  • id: 8372267
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  • id: 8372268
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  • id: 8372269
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  • id: 8372270
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  • id: 8372271
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  • id: 8372272
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  • id: 8372273
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  • id: 8372274
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  • id: 8372275
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  • id: 8372276
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  • id: 8372277
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  • id: 8372278
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  • id: 8372279
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  • id: 8372280
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  • id: 8372281
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  • id: 8372282
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  • id: 8372283
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  • id: 8372284
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  • id: 8372285
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  • id: 8372286
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  • id: 8372287
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  • id: 8372288
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  • id: 8372289
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  • id: 8372290
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  • id: 8372291
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  • id: 8372292
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  • id: 8372293
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  • id: 8372296
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  • id: 8372298
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  • id: 8372300
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  • id: 8372302
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  • id: 8372303
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  • id: 8372304
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  • id: 8372305
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  • id: 8372308
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  • id: 8372309
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  • id: 8372310
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  • id: 8372311
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  • id: 8372312
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  • id: 8372313
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  • id: 8372314
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  • id: 8372315
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  • id: 8372317
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  • id: 8372318
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  • id: 8372319
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  • id: 8372320
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  • id: 8372321
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  • id: 8372322
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  • id: 8372323
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  • id: 8372325
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  • id: 8372328
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  • id: 8372329
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  • id: 8372330
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  • id: 8372331
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  • id: 8372332
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  • id: 8372333
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  • id: 8372335
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  • id: 8372336
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  • id: 8372337
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  • id: 8372338
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  • id: 8372340
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  • id: 8372341
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  • id: 8372343
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  • id: 8372344
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  • id: 8372345
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  • id: 8372346
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  • id: 8372350
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  • id: 8372351
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  • id: 8372352
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  • id: 8372353
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  • id: 8372355
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  • id: 8372360
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  • id: 8372361
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  • id: 8372362
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  • id: 8372363
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  • id: 8372364
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  • id: 8372365
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  • id: 8372366
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  • id: 8372367
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  • id: 8372368
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  • id: 8372369
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  • id: 8372370
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  • id: 8372371
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  • id: 8372372
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  • id: 8372373
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  • id: 8372374
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  • id: 8372375
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  • id: 8372376
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  • id: 8372377
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  • id: 8372378
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  • id: 8372379
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  • id: 8372380
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  • id: 8372381
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  • id: 8372382
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  • id: 8372383
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  • id: 8372384
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  • id: 8372385
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  • id: 8372387
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  • id: 8372388
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  • id: 8372389
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  • id: 8372391
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  • id: 8372392
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  • id: 8372393
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  • id: 8372394
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  • id: 8372396
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  • id: 8372397
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  • id: 8372398
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  • id: 8372400
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  • id: 8372403
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  • id: 8372407
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  • id: 8372410
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  • id: 8372411
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  • id: 8372412
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  • id: 8372413
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  • id: 8372414
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  • id: 8372415
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  • id: 8372419
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