Embedded newform data - 350.2.x.a.3.19

Formats: - HTML - YAML - JSON - 2024-12-28T14:14:41.148893

• 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': 1400, 'analytic_conductor': 2.7947640707448134, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 175, 'char_degree': 16, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 24, 'char_orbit_label': 'x', 'char_order': 60, 'char_parity': 1, 'char_values': [350, 60, [127, 101], [21, 10]], 'cm_discs': [], 'conrey_index': 3, 'dim': 320, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 1580581519710, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 4, -1, 6, 0], [1, 1, 25, 6, -1, 20, 0], [1, 1, 175, 24, 1, 60, 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': '350.2.x.a', 'level': 350, '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': '350.2.x.a', 'prim_orbit_index': 24, 'related_objects': [], 'relative_dim': 20, 'rm_discs': [], 'sato_tate_group': '1.2.3.c60', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '350.2.x', 'trace_display': [0, 0, 12, -8], 'traces': [320, 0, 0, 0, 12, 0, -8, 0, 0, 12, 0, 0, 0, 0, -16, -40, 36, 8, 0, 0, 0, -72, 44, 0, -12, 0, 0, -24, -80, 20, 0, 0, -48, 0, -28, 80, -4, -24, -40, 0, 0, -36, 88, 0, -228, 0, -12, 0, 0, 32, 0, 0, -52, 0, 0, 0, 152, 32, -120, -8, 0, 0, 136, 0, 8, 0, -32, -144, 0, 92, 0, 8, 12, 0, -432, 0, 144, -16, 0, 12, -40, -192, 0, 60, -24, 0, 24, 4, -300, 0, 0, -8, -68, 0, 20, 0, 0, -40, 0, -12, 0, -4, -24, 0, -156, 0, -120, -36, 40, -84, 0, -24, 8, -120, -72, 0, -12, 0, -160, -16, -20, -48, -40, 0, 0, -80, 48, 0, 0, -8, 0, 0, 20, 0, -124, 0, -156, 72, 0, 16, 40, -32, 36, 0, 72, 0, 152, -8, 0, 144, 40, 24, 0, 160, -56, 0, 336, 72, 360, 0, -100, 224, 124, 180, 88, -120, 0, 0, 160, 60, 0, 96, 288, 0, 392, 0, 200, 312, 100, 240, 0, 224, 352, 0, 252, -40, 408, 0, 280, 248, -40, 0, 80, 240, 0, 0, 40, 136, 0, -40, 0, 0, -36, 120, 132, 60, -260, 0, 0, 40, 0, 28, -648, -160, -48, 0, 16, 320, 0, -204, 40, 36, 0, 0, 328, 0, -828, -44, -360, 0, 60, 96, -72, -600, -144, 0, 0, -28, 480, -8, 0, -112, -552, 0, -8, -40, -100, -180, 0, -72, 0, -176, 232, -80, -228, 40, -300, 0, -100, 40, 40, -48, 304, 0, 0, 40, 24, -48, 0, 196, -180, 0, -620, 0, -212, 0, 180, 132, 0, 8, 0, -180, 120, 80, 48, 0, -412, 16, -360, -24, -40, -12, 0, -320, -256, 0, 12, -12, 0, 0, 80, -256, -304, 0, -56, 0, 0, -48, -480, -28, 0, -72, -108, 0, 332, 0, 12, -84, -220, 0, 0, 160, -264, 0, 252, 0, 384, 0, 320, -376, -20, -72, -116, 0, 0, 0, -472, 48, 780, -76, 0, 0, 376, -120, 600, 0, -76, 24, 0, -12, -480, 4, 492, -120, 336, 0, 352, -680, 400, 24, 40, -12, 0, -120, -400, 120, 252, -4, 660, 0, -220, -264, 324, 0, 144, 0, 0, -288, -320, 140, -60, -36, 252, 0, -120, -240, 348, 24, -40, -408, 0, 24, -336, 280, -120, 0, -408, 0, 0, -24, 160, 24, -28, -60, 0, -60, -504, 4, -60, 4, 360, 0, -120, -80, -136, 0, 148, -504, 0, 60, 0, 40, -108, 0, -552, 0, -120, -40, -240, 72, -80, -144, 0, 120, -40, 0, 48, -20, -660, 0, -120, 80, -324, 0, 340, 0, 0, 12, 0, -248, 0, -4, -1056, 0, -764, 0, -660, 72, 180, -108, 0, -156, -208, 0, 60, 0, 24, 0, -700, -16, 160, 48, 280, 0, 0, 40, -376, -200, 0, 20, 0, 0, -272, 80, -144, -60, 128, 192, 0, -52, -200, -100, 636, 220, 972, 0, 244, 512, 0, 288, -200, 636, 0, 280, 80, 20, 1188, 44, 1380, 0, -60, 0, 432, 600, 272, -60, 0, 544, -200, 128, 0, 316, 816, 0, 704, -160, 564, 252, 180, 960, 0, 192, 504, 300, 804, -20, 1500, 0, 740, 344, -160, 492, 216, 0, 0, 0, 456, 156, 0, 28, -360, 0, 248, 760, 512, 120, 72, 600, 0, 92, 80, 56, -24, -240, 336, 0, 144, 136, 300, -672, 80, -36, 0, 0, 384, -160, -552, -96, 0, 0, -140, 624, 108, 0, -224, 0, 0, -80, 200, -40, 0, 44, -492, 0, -624, -80, -104, -480, 0, 48, 0, -264, 624, -120, -564, 200, -180, 0, -680, 304, -100, -372, 104, 0, 0, -120, 40, -228, -360, 12, 60, 0, -532, 0, -800, 0, 364, -24, 0, -568, 0, -88, -132, -20, -240, 0, -528, -536, -740, 0, 240, -24, 0, 100, -808, -120, 12, 112, 0, 0, -520, -248, -296, 0, -124, 0, 0, -96, -760, -4, 0, -236, 432, 0, -48, 240, -356, 36, -360, 72, 0, -76, -728, 0, 504, 160, 396, 0, 560, -208, -80, 132, -400, 0, 0, -120, -1064, 44, 300, -432, 0, 0, 40, -960, 56, 0, -296, -24, 0, 36, 320, 276, 204, 0, 228, 0, 224, -760, 260, -96, 0, 48, 0, -140, -400, 0, -768, -156, 300, 0, -40, -768, 916, 0, -388, 120, 0, -64, -720, 256, -660, -16, -780, 0, -100, 0, 336, 72, -120, -396, 0, 120, 232, 160, -396, 0, -900, 0, 0, -744, -80, -12, -364, -840, 0, 20, -168, 96, -1200, -8, 120, 0, -52, -80, 272, 0, -592, 0, 0, 56, 440, 20, -1176, 0, -1272, 0, -280, -152, -300, 36, -120, -804, 0, -20, 592, 0, -780, -40, -840, 0, -40, -112, -368, 0, -212, 0, 0, 4, 0, -64, -240, -96, -516, 0, 248, 0, -532, -12, -80, -648, 0, 16, -144, -320, 264, 0, -564, 0, 280, 64, 260, 600, -100, 0, 0, 120, -152, -100, 540, 232, 540, 0, -92, 480, -204, 180, 176, 336, 0, -248, 320, -236, 1584, 100, 696, 0, 532, 56, 0, 696, 240, 648, 0, 40, 88, 40, 696, 440, 900, 0, 620, 256, 284, 0, -52, 360, 0, 264, 0, 228, 540, -40, 1464, 0, 356, 320, 168, 384, -60, 36, 0, 856, 32, 140, 816, 200, 912, 0, 720, 616, 260, 396, -48, 1260, 0, 0, 1200, 136, 0, 136, 480, 0, 1104, 240, 300, 540, -348, 312, 0, 292, 80, -4, -492, 40, 168, 0, -104, 1440, 200, -360, 140, 192, 0, 0, 872, 160, -960, -32, -360, 0, 200, 424, 20, -1140, 124, 0, 0, -684, 0, -180, 360, 264, -864, 0, -760, 0, -320, -216, 0, 48, 0, -28, 360, -440, -1320, -40, -1272, 0, -840, -16, -100, -648, 44, 0, 0, -20, 664, -48, -840, -268, 240, 0, -828, 0, -488, 0, 160, -264, 0, -480, 0, -284, -588, -200, -696, 0, -212, -240, -560, -156, 0, 0, 0, -360, -56, 40, 336, 112, 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], [0.38511795495802315, -0.5930296457757824], [0.5166713758578648, -1.345974951287625], [-0.2033683215379001, -0.45677272882130043], [0.18176514101294888, 0.9833419718045919], [-0.5992236249294471, -0.8247605636720907], [-0.5046991132878663, -0.86329531740097], [-0.34920056166685515, -0.05530793552061857], [-0.8015544333854706, -0.7217228535451413], [0.6531519606053002, 0.27091053201648024], [-0.8579987518267714, -0.9529041514866391], [-0.7198792419196568, 0.0377272724209684], [-0.19166385259228816, -0.09765761064391956], [-0.7063284066567397, -0.03316899078584415], [1.4174665080889217, 0.26341332269037215], [-0.16728265158971456, 0.18578620636934856], [0.7389996192043551, -0.9125885284359438], [-0.7366960523591115, 0.19739711229682003], [1.009526969327624, 0.44947036533724893], [0.4121985241837986, -0.2830059657687421], [-1.4227374580422913, 0.23327238500933203], [-0.8955311360744568, 0.141838197780349], [1.486066347285534, 0.9650627699225145], [-0.2548650304649369, 0.4414391818378605], [-0.9339228670250856, 0.3574745843380257], [-0.13172704919719092, 0.07605264731355325], [-0.10096641982584838, 0.051444960445608603], [-0.29168994635687184, 0.40609971090155333], [0.3678894588176028, -0.5063563998484728], [0.702103712264389, -0.7391544610477946], [-0.09992844866138233, 0.01050290317784], [0.04575317547305483, 0.17075317547305482], [-1.7258885144696732, 0.6625065291856084], [-0.2565900296946713, -0.7897029101945993], [0.7571778141668615, -0.6532088163317253], [-0.16665253752764425, 0.5129037711773118], [0.08013511514507321, 1.529069085569981], [0.6553362134450859, -0.4255803131085433], [-0.230471924150392, 0.20751785260211797], [-0.009085874961890582, -0.3534366235637966], [-1.3859019405399204, 0.4503068375288264], [-0.4095843004320674, 0.9335628746377319], [0.7390290539648822, 0.7390290539648822], [-0.2607708635390742, 0.5857009490715188], [0.5640057192876515, -0.9193861732808816], [1.1446216651970884, -0.5096183991713672], [0.12189549438646975, -0.09870902507257483], [0.16363342231388686, 0.3211486736849953], [-0.4905576100928829, 0.8714087623956733], [-0.14767743851341028, 0.6915138278835196], [-0.8465013500944624, -1.4661833470392585], [-0.005628977302810071, 0.10740728532703864], [1.0734597852545364, 0.4120626046160573], [-0.00837559445275552, 0.07968845814428098], [0.781076383148926, -1.0169109418940094], [0.1284941320828219, 0.32937707573582337], [1.1265695412981587, -1.1265695412981587], [-0.15860352040799128, -0.4131762966367982], [0.4680865260855351, 0.09949486254880646], [-0.16794776237306525, -0.701029970218839], [-0.22228756121686727, -1.045780753463409], [-0.03225570683942757, 0.06330538910555489], [-0.21851614814518136, 1.056231073207486], [0.11888206453689419, 0.03862712429686843], [0.061193020218794664, -0.20622186010144497], [-0.27178464285101667, 1.278646214050741], [-0.315513415055617, -0.2554977257708678], [-0.567134664599438, -0.15196327537911505], [2.0667582590040454, -1.5015877702727574], [-0.09576942163529346, -0.7005913344308802], [0.0847921273343842, 0.061605086548475955], [0.23998625729713266, 0.29635834674371836], [0.038468830413444226, 0.0020160659735845277], [0.9376447698472617, 0.5413494602755613], [-0.001379376410034682, 1.4417336707746347], [0.0, -0.5525324223781392], [-0.38960648266129244, 1.221636185091562], [0.034305362516745465, 0.21659553455157812], [0.9112130529495375, 0.0957723510943635], [-0.2130975292605545, -0.130726596463945], [-0.09566700981026344, -0.9102107975805338], [-0.26669041676295724, 0.9953021852510751], [0.1918952459812334, -1.2115788999729522], [0.395892192690525, 0.6024274577057672], [1.031710972991647, 0.5608125601532942], [0.7228794960083236, -0.15365278017328776], [-0.4914650777693292, -0.7567898541953992], [0.24691048467961643, 0.3802088045566187], [-0.4674006346296688, 0.09934907181926868], [-0.32801452747522414, -0.6885442347952873], [0.012425218475201272, 0.21475021595575003], [0.1385955361599326, -0.8750577763569741], [-0.037493524464046586, 0.13992773825464852], [-0.01159323465694746, -0.11030225972952229], [-0.25848626338225017, 1.0744082849452063], [0.2534688531610818, 0.026640649975163543], [0.14835151066523047, 0.9366545751669296], [0.3278486861013528, 0.6265103662523204], [0.0, 1.3830418547221226], [0.35321496728509527, 0.3538914902703781], [-1.383988049217021, -0.7990458727706721], [-1.1954930597546274, -0.0626531364100281], [-0.26253419866248145, -0.3242027354215066], [0.061527884143868776, 0.04470262448870738], [-0.48799060172809805, -1.3566366693959115], [0.6577739776798126, -0.4779007685996328], [-1.8387289767417785, -0.49268594441766417], [0.044032026298518254, 0.03565643184576273], [-0.3880530855635831, 1.825646230418452], [-0.302251796312598, -0.854832113139295], [2.0994922081620015, 0.6821663705193513], [0.2448157679221209, 0.050648196184091734], [-0.09557122848899856, 0.1875690970565417], [-0.23422697815508772, -1.1019512938805778], [-0.6788716679218537, 1.6367261826335173], [-0.30610685626613876, -0.06506502087155012], [0.08314728134075791, 0.2166060733798274], [0.2392719287632955, -0.2392719287632955], [-1.160805855845101, -0.17739228972191998], [-0.4804112537019763, -0.17038122646602896], [-0.06733600051652056, 0.6406592498038968], [-0.7057859207739826, -0.27092583141948723], [-0.10995413871549911, 2.098049950211867], [0.02511972062323943, 0.043508632391386436], [-0.5212743842530133, -0.8533891353430988], [0.5422218471026333, 0.5363601048076103], [0.44503251560125595, 0.8734254904104097], [0.06869064741474543, -0.05562458950628874], [1.3765497530214936, -0.6128794367995497], [-0.09872914584281572, -0.11570901613421013], [0.4474189246142311, -1.0049193580242413], [0.6536059655472761, 0.6536059655472761], [-0.12148170455368863, -1.0983672002454132], [-0.2730276069784569, 0.08871204712263756], [-0.06894016438121194, -0.08993361786779835], [-0.3085324695853442, 0.27780388341184425], [-0.31328720202061805, 0.20345108784379184], 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0.11362152630345565, -0.2588549295194858, 0.1146952415848287, 0.046414213685008206, -0.4657532112899436, -0.31783295522384575, -0.35974372730414234, -0.10323008325385594, -0.20354429618062025, -0.33683824975893495, -0.08107895790061331, -0.19755271444006664, -0.4668665918108127, -0.20277931507633995, -0.3446274172739861, -0.43169639917037766, 0.10889375563534703, -0.4319115309791202, 0.12231668690960129, -0.3111991372125945, -0.42155271980821846, -0.14095728177840294, -0.4977717594743205, 0.14110744121259763, -0.3301842304055796, -0.27492286528284954, -0.21434996514262425, -0.4250726188072035, -0.10882424175236927], 'char_orbit_index': 24, 'conrey_index': 3, 'dual_conrey_index': 117, 'dual_embedding_index': 19, 'dual_embedding_m': 159, 'embedding_index': 19, 'embedding_m': 19, 'hecke_orbit': 1, 'hecke_orbit_code': 1580581519710, 'label': '350.2.x.a.3.19', 'level': 350, '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': 1400, 'analytic_conductor': 2.7947640707448134, 'char_conductor': 175, 'char_degree': 16, 'char_is_real': False, 'char_orbit_index': 24, 'char_orbit_label': 'x', 'char_order': 60, 'char_parity': 1, 'char_values': [350, 60, [127, 101], [21, 10]], 'conrey_index': 3, 'cusp_dim': 896, 'dim': 320, 'eis_dim': 128, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 1580581519710, 'hecke_orbit_dims': [320], 'label': '350.2.x', 'level': 350, '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': 1024, 'mf_new_dim': 320, 'num_forms': 1, 'prim_orbit_index': 24, 'relative_dim': 20, 'sturm_bound': 120, 'trace_bound': 0, 'trace_display': [0, 0, 12, -8], 'traces': [320, 0, 0, 0, 12, 0, -8, 0, 0, 12, 0, 0, 0, 0, -16, -40, 36, 8, 0, 0, 0, -72, 44, 0, -12, 0, 0, -24, -80, 20, 0, 0, -48, 0, -28, 80, -4, -24, -40, 0, 0, -36, 88, 0, -228, 0, -12, 0, 0, 32, 0, 0, -52, 0, 0, 0, 152, 32, -120, -8, 0, 0, 136, 0, 8, 0, -32, -144, 0, 92, 0, 8, 12, 0, -432, 0, 144, -16, 0, 12, -40, -192, 0, 60, -24, 0, 24, 4, -300, 0, 0, -8, -68, 0, 20, 0, 0, -40, 0, -12, 0, -4, -24, 0, -156, 0, -120, -36, 40, -84, 0, -24, 8, -120, -72, 0, -12, 0, -160, -16, -20, -48, -40, 0, 0, -80, 48, 0, 0, -8, 0, 0, 20, 0, -124, 0, -156, 72, 0, 16, 40, -32, 36, 0, 72, 0, 152, -8, 0, 144, 40, 24, 0, 160, -56, 0, 336, 72, 360, 0, -100, 224, 124, 180, 88, -120, 0, 0, 160, 60, 0, 96, 288, 0, 392, 0, 200, 312, 100, 240, 0, 224, 352, 0, 252, -40, 408, 0, 280, 248, -40, 0, 80, 240, 0, 0, 40, 136, 0, -40, 0, 0, -36, 120, 132, 60, -260, 0, 0, 40, 0, 28, -648, -160, -48, 0, 16, 320, 0, -204, 40, 36, 0, 0, 328, 0, -828, -44, -360, 0, 60, 96, -72, -600, -144, 0, 0, -28, 480, -8, 0, -112, -552, 0, -8, -40, -100, -180, 0, -72, 0, -176, 232, -80, -228, 40, -300, 0, -100, 40, 40, -48, 304, 0, 0, 40, 24, -48, 0, 196, -180, 0, -620, 0, -212, 0, 180, 132, 0, 8, 0, -180, 120, 80, 48, 0, -412, 16, -360, -24, -40, -12, 0, -320, -256, 0, 12, -12, 0, 0, 80, -256, -304, 0, -56, 0, 0, -48, -480, -28, 0, -72, -108, 0, 332, 0, 12, -84, -220, 0, 0, 160, -264, 0, 252, 0, 384, 0, 320, -376, -20, -72, -116, 0, 0, 0, -472, 48, 780, -76, 0, 0, 376, -120, 600, 0, -76, 24, 0, -12, -480, 4, 492, -120, 336, 0, 352, -680, 400, 24, 40, -12, 0, -120, -400, 120, 252, -4, 660, 0, -220, -264, 324, 0, 144, 0, 0, -288, -320, 140, -60, -36, 252, 0, -120, -240, 348, 24, -40, -408, 0, 24, -336, 280, -120, 0, -408, 0, 0, -24, 160, 24, -28, -60, 0, -60, -504, 4, -60, 4, 360, 0, -120, -80, -136, 0, 148, -504, 0, 60, 0, 40, -108, 0, -552, 0, -120, -40, -240, 72, -80, -144, 0, 120, -40, 0, 48, -20, -660, 0, -120, 80, -324, 0, 340, 0, 0, 12, 0, -248, 0, -4, -1056, 0, -764, 0, -660, 72, 180, -108, 0, -156, -208, 0, 60, 0, 24, 0, -700, -16, 160, 48, 280, 0, 0, 40, -376, -200, 0, 20, 0, 0, -272, 80, -144, -60, 128, 192, 0, -52, -200, -100, 636, 220, 972, 0, 244, 512, 0, 288, -200, 636, 0, 280, 80, 20, 1188, 44, 1380, 0, -60, 0, 432, 600, 272, -60, 0, 544, -200, 128, 0, 316, 816, 0, 704, -160, 564, 252, 180, 960, 0, 192, 504, 300, 804, -20, 1500, 0, 740, 344, -160, 492, 216, 0, 0, 0, 456, 156, 0, 28, -360, 0, 248, 760, 512, 120, 72, 600, 0, 92, 80, 56, -24, -240, 336, 0, 144, 136, 300, -672, 80, -36, 0, 0, 384, -160, -552, -96, 0, 0, -140, 624, 108, 0, -224, 0, 0, -80, 200, -40, 0, 44, -492, 0, -624, -80, -104, -480, 0, 48, 0, -264, 624, -120, -564, 200, -180, 0, -680, 304, -100, -372, 104, 0, 0, -120, 40, -228, -360, 12, 60, 0, -532, 0, -800, 0, 364, -24, 0, -568, 0, -88, -132, -20, -240, 0, -528, -536, -740, 0, 240, -24, 0, 100, -808, -120, 12, 112, 0, 0, -520, -248, -296, 0, -124, 0, 0, -96, -760, -4, 0, -236, 432, 0, -48, 240, -356, 36, -360, 72, 0, -76, -728, 0, 504, 160, 396, 0, 560, -208, -80, 132, -400, 0, 0, -120, -1064, 44, 300, -432, 0, 0, 40, -960, 56, 0, -296, -24, 0, 36, 320, 276, 204, 0, 228, 0, 224, -760, 260, -96, 0, 48, 0, -140, -400, 0, -768, -156, 300, 0, -40, -768, 916, 0, -388, 120, 0, -64, -720, 256, -660, -16, -780, 0, -100, 0, 336, 72, -120, -396, 0, 120, 232, 160, -396, 0, -900, 0, 0, -744, -80, -12, -364, -840, 0, 20, -168, 96, -1200, -8, 120, 0, -52, -80, 272, 0, -592, 0, 0, 56, 440, 20, -1176, 0, -1272, 0, -280, -152, -300, 36, -120, -804, 0, -20, 592, 0, -780, -40, -840, 0, -40, -112, -368, 0, -212, 0, 0, 4, 0, -64, -240, -96, -516, 0, 248, 0, -532, -12, -80, -648, 0, 16, -144, -320, 264, 0, -564, 0, 280, 64, 260, 600, -100, 0, 0, 120, -152, -100, 540, 232, 540, 0, -92, 480, -204, 180, 176, 336, 0, -248, 320, -236, 1584, 100, 696, 0, 532, 56, 0, 696, 240, 648, 0, 40, 88, 40, 696, 440, 900, 0, 620, 256, 284, 0, -52, 360, 0, 264, 0, 228, 540, -40, 1464, 0, 356, 320, 168, 384, -60, 36, 0, 856, 32, 140, 816, 200, 912, 0, 720, 616, 260, 396, -48, 1260, 0, 0, 1200, 136, 0, 136, 480, 0, 1104, 240, 300, 540, -348, 312, 0, 292, 80, -4, -492, 40, 168, 0, -104, 1440, 200, -360, 140, 192, 0, 0, 872, 160, -960, -32, -360, 0, 200, 424, 20, -1140, 124, 0, 0, -684, 0, -180, 360, 264, -864, 0, -760, 0, -320, -216, 0, 48, 0, -28, 360, -440, -1320, -40, -1272, 0, -840, -16, -100, -648, 44, 0, 0, -20, 664, -48, -840, -268, 240, 0, -828, 0, -488, 0, 160, -264, 0, -480, 0, -284, -588, -200, -696, 0, -212, -240, -560, -156, 0, 0, 0, -360, -56, 40, 336, 112, 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: 18432509
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 3, 'source_dim': 320, 'source_embedding_index': 19, 'source_hecke_orbit_code': 1580581519710, 'source_is_minimal': True, 'source_label': '350.2.x.a.3.19', 'source_level': 350, 'target_conrey_index': 3, 'target_dim': 320, 'target_embedding_index': 19, 'target_hecke_orbit_code': 1580581519710, 'target_is_minimal': True, 'target_label': '350.2.x.a.3.19', 'target_level': 350, 'twist_class_label': '350.2.x.a.3.19', 'twist_class_level': 350, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 18432510
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 3, 'source_dim': 320, 'source_embedding_index': 19, 'source_hecke_orbit_code': 1580581519710, 'source_is_minimal': True, 'source_label': '350.2.x.a.3.19', 'source_level': 350, 'target_conrey_index': 103, 'target_dim': 320, 'target_embedding_index': 2, 'target_hecke_orbit_code': 1580581519710, 'target_is_minimal': True, 'target_label': '350.2.x.a.103.2', 'target_level': 350, 'twist_class_label': '350.2.x.a.3.19', 'twist_class_level': 350, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 18432511
    {'conductor': 25, 'degree': 8, 'order': 20, 'parity': -1, 'source_conrey_index': 3, 'source_dim': 320, 'source_embedding_index': 19, 'source_hecke_orbit_code': 1580581519710, 'source_is_minimal': True, 'source_label': '350.2.x.a.3.19', 'source_level': 350, 'target_conrey_index': 17, 'target_dim': 320, 'target_embedding_index': 2, 'target_hecke_orbit_code': 1580581519710, 'target_is_minimal': True, 'target_label': '350.2.x.a.17.2', 'target_level': 350, 'twist_class_label': '350.2.x.a.3.19', 'twist_class_level': 350, 'twisting_char_label': '25.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 18432512
    {'conductor': 175, 'degree': 16, 'order': 60, 'parity': 1, 'source_conrey_index': 3, 'source_dim': 320, 'source_embedding_index': 19, 'source_hecke_orbit_code': 1580581519710, 'source_is_minimal': True, 'source_label': '350.2.x.a.3.19', 'source_level': 350, 'target_conrey_index': 117, 'target_dim': 320, 'target_embedding_index': 19, 'target_hecke_orbit_code': 1580581519710, 'target_is_minimal': True, 'target_label': '350.2.x.a.117.19', 'target_level': 350, 'twist_class_label': '350.2.x.a.3.19', 'twist_class_level': 350, 'twisting_char_label': '175.117', 'twisting_conrey_index': 117, 'weight': 2}
• hecke_orbit_code 1580581519710 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': 24, 'hecke_orbit': 1, 'label': '350.2.x.a', 'level': 350, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 13315446
    {'hecke_orbit_code': 1580581519710, 'n': 1, 'trace_an': 320}
  • id: 13315447
    {'hecke_orbit_code': 1580581519710, 'n': 2, 'trace_an': 0}
  • id: 13315448
    {'hecke_orbit_code': 1580581519710, 'n': 3, 'trace_an': 0}
  • id: 13315449
    {'hecke_orbit_code': 1580581519710, 'n': 4, 'trace_an': 0}
  • id: 13315450
    {'hecke_orbit_code': 1580581519710, 'n': 5, 'trace_an': 12}
  • id: 13315451
    {'hecke_orbit_code': 1580581519710, 'n': 6, 'trace_an': 0}
  • id: 13315452
    {'hecke_orbit_code': 1580581519710, 'n': 7, 'trace_an': -8}
  • id: 13315453
    {'hecke_orbit_code': 1580581519710, 'n': 8, 'trace_an': 0}
  • id: 13315454
    {'hecke_orbit_code': 1580581519710, 'n': 9, 'trace_an': 0}
  • id: 13315455
    {'hecke_orbit_code': 1580581519710, 'n': 10, 'trace_an': 12}
  • id: 13315456
    {'hecke_orbit_code': 1580581519710, 'n': 11, 'trace_an': 0}
  • id: 13315457
    {'hecke_orbit_code': 1580581519710, 'n': 12, 'trace_an': 0}
  • id: 13315458
    {'hecke_orbit_code': 1580581519710, 'n': 13, 'trace_an': 0}
  • id: 13315459
    {'hecke_orbit_code': 1580581519710, 'n': 14, 'trace_an': 0}
  • id: 13315460
    {'hecke_orbit_code': 1580581519710, 'n': 15, 'trace_an': -16}
  • id: 13315461
    {'hecke_orbit_code': 1580581519710, 'n': 16, 'trace_an': -40}
  • id: 13315462
    {'hecke_orbit_code': 1580581519710, 'n': 17, 'trace_an': 36}
  • id: 13315463
    {'hecke_orbit_code': 1580581519710, 'n': 18, 'trace_an': 8}
  • id: 13315464
    {'hecke_orbit_code': 1580581519710, 'n': 19, 'trace_an': 0}
  • id: 13315465
    {'hecke_orbit_code': 1580581519710, 'n': 20, 'trace_an': 0}
  • id: 13315466
    {'hecke_orbit_code': 1580581519710, 'n': 21, 'trace_an': 0}
  • id: 13315467
    {'hecke_orbit_code': 1580581519710, 'n': 22, 'trace_an': -72}
  • id: 13315468
    {'hecke_orbit_code': 1580581519710, 'n': 23, 'trace_an': 44}
  • id: 13315469
    {'hecke_orbit_code': 1580581519710, 'n': 24, 'trace_an': 0}
  • id: 13315470
    {'hecke_orbit_code': 1580581519710, 'n': 25, 'trace_an': -12}
  • id: 13315471
    {'hecke_orbit_code': 1580581519710, 'n': 26, 'trace_an': 0}
  • id: 13315472
    {'hecke_orbit_code': 1580581519710, 'n': 27, 'trace_an': 0}
  • id: 13315473
    {'hecke_orbit_code': 1580581519710, 'n': 28, 'trace_an': -24}
  • id: 13315474
    {'hecke_orbit_code': 1580581519710, 'n': 29, 'trace_an': -80}
  • id: 13315475
    {'hecke_orbit_code': 1580581519710, 'n': 30, 'trace_an': 20}
  • id: 13315476
    {'hecke_orbit_code': 1580581519710, 'n': 31, 'trace_an': 0}
  • id: 13315477
    {'hecke_orbit_code': 1580581519710, 'n': 32, 'trace_an': 0}
  • id: 13315478
    {'hecke_orbit_code': 1580581519710, 'n': 33, 'trace_an': -48}
  • id: 13315479
    {'hecke_orbit_code': 1580581519710, 'n': 34, 'trace_an': 0}
  • id: 13315480
    {'hecke_orbit_code': 1580581519710, 'n': 35, 'trace_an': -28}
  • id: 13315481
    {'hecke_orbit_code': 1580581519710, 'n': 36, 'trace_an': 80}
  • id: 13315482
    {'hecke_orbit_code': 1580581519710, 'n': 37, 'trace_an': -4}
  • id: 13315483
    {'hecke_orbit_code': 1580581519710, 'n': 38, 'trace_an': -24}
  • id: 13315484
    {'hecke_orbit_code': 1580581519710, 'n': 39, 'trace_an': -40}
  • id: 13315485
    {'hecke_orbit_code': 1580581519710, 'n': 40, 'trace_an': 0}
  • id: 13315486
    {'hecke_orbit_code': 1580581519710, 'n': 41, 'trace_an': 0}
  • id: 13315487
    {'hecke_orbit_code': 1580581519710, 'n': 42, 'trace_an': -36}
  • id: 13315488
    {'hecke_orbit_code': 1580581519710, 'n': 43, 'trace_an': 88}
  • id: 13315489
    {'hecke_orbit_code': 1580581519710, 'n': 44, 'trace_an': 0}
  • id: 13315490
    {'hecke_orbit_code': 1580581519710, 'n': 45, 'trace_an': -228}
  • id: 13315491
    {'hecke_orbit_code': 1580581519710, 'n': 46, 'trace_an': 0}
  • id: 13315492
    {'hecke_orbit_code': 1580581519710, 'n': 47, 'trace_an': -12}
  • id: 13315493
    {'hecke_orbit_code': 1580581519710, 'n': 48, 'trace_an': 0}
  • id: 13315494
    {'hecke_orbit_code': 1580581519710, 'n': 49, 'trace_an': 0}
  • id: 13315495
    {'hecke_orbit_code': 1580581519710, 'n': 50, 'trace_an': 32}
  • id: 13315496
    {'hecke_orbit_code': 1580581519710, 'n': 51, 'trace_an': 0}
  • id: 13315497
    {'hecke_orbit_code': 1580581519710, 'n': 52, 'trace_an': 0}
  • id: 13315498
    {'hecke_orbit_code': 1580581519710, 'n': 53, 'trace_an': -52}
  • id: 13315499
    {'hecke_orbit_code': 1580581519710, 'n': 54, 'trace_an': 0}
  • id: 13315500
    {'hecke_orbit_code': 1580581519710, 'n': 55, 'trace_an': 0}
  • id: 13315501
    {'hecke_orbit_code': 1580581519710, 'n': 56, 'trace_an': 0}
  • id: 13315502
    {'hecke_orbit_code': 1580581519710, 'n': 57, 'trace_an': 152}
  • id: 13315503
    {'hecke_orbit_code': 1580581519710, 'n': 58, 'trace_an': 32}
  • id: 13315504
    {'hecke_orbit_code': 1580581519710, 'n': 59, 'trace_an': -120}
  • id: 13315505
    {'hecke_orbit_code': 1580581519710, 'n': 60, 'trace_an': -8}
  • id: 13315506
    {'hecke_orbit_code': 1580581519710, 'n': 61, 'trace_an': 0}
  • id: 13315507
    {'hecke_orbit_code': 1580581519710, 'n': 62, 'trace_an': 0}
  • id: 13315508
    {'hecke_orbit_code': 1580581519710, 'n': 63, 'trace_an': 136}
  • id: 13315509
    {'hecke_orbit_code': 1580581519710, 'n': 64, 'trace_an': 0}
  • id: 13315510
    {'hecke_orbit_code': 1580581519710, 'n': 65, 'trace_an': 8}
  • id: 13315511
    {'hecke_orbit_code': 1580581519710, 'n': 66, 'trace_an': 0}
  • id: 13315512
    {'hecke_orbit_code': 1580581519710, 'n': 67, 'trace_an': -32}
  • id: 13315513
    {'hecke_orbit_code': 1580581519710, 'n': 68, 'trace_an': -144}
  • id: 13315514
    {'hecke_orbit_code': 1580581519710, 'n': 69, 'trace_an': 0}
  • id: 13315515
    {'hecke_orbit_code': 1580581519710, 'n': 70, 'trace_an': 92}
  • id: 13315516
    {'hecke_orbit_code': 1580581519710, 'n': 71, 'trace_an': 0}
  • id: 13315517
    {'hecke_orbit_code': 1580581519710, 'n': 72, 'trace_an': 8}
  • id: 13315518
    {'hecke_orbit_code': 1580581519710, 'n': 73, 'trace_an': 12}
  • id: 13315519
    {'hecke_orbit_code': 1580581519710, 'n': 74, 'trace_an': 0}
  • id: 13315520
    {'hecke_orbit_code': 1580581519710, 'n': 75, 'trace_an': -432}
  • id: 13315521
    {'hecke_orbit_code': 1580581519710, 'n': 76, 'trace_an': 0}
  • id: 13315522
    {'hecke_orbit_code': 1580581519710, 'n': 77, 'trace_an': 144}
  • id: 13315523
    {'hecke_orbit_code': 1580581519710, 'n': 78, 'trace_an': -16}
  • id: 13315524
    {'hecke_orbit_code': 1580581519710, 'n': 79, 'trace_an': 0}
  • id: 13315525
    {'hecke_orbit_code': 1580581519710, 'n': 80, 'trace_an': 12}
  • id: 13315526
    {'hecke_orbit_code': 1580581519710, 'n': 81, 'trace_an': -40}
  • id: 13315527
    {'hecke_orbit_code': 1580581519710, 'n': 82, 'trace_an': -192}
  • id: 13315528
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  • id: 13315529
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  • id: 13315530
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  • id: 13315531
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  • id: 13315532
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  • id: 13315533
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  • id: 13315534
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  • id: 13315535
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  • id: 13315536
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  • id: 13315537
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  • id: 13315538
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  • id: 13315539
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  • id: 13315540
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  • id: 13315541
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  • id: 13315542
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  • id: 13315543
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  • id: 13315544
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  • id: 13315545
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  • id: 13315546
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  • id: 13315547
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  • id: 13315548
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  • id: 13315549
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  • id: 13315550
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  • id: 13315552
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  • id: 13315553
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  • id: 13315555
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  • id: 13315559
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  • id: 13315560
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  • id: 13315561
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  • id: 13315562
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  • id: 13315563
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  • id: 13315564
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  • id: 13315565
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  • id: 13315566
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  • id: 13315567
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  • id: 13315568
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  • id: 13315569
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  • id: 13315570
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  • id: 13315571
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  • id: 13315572
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  • id: 13315573
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  • id: 13315574
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  • id: 13315575
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  • id: 13315576
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  • id: 13315577
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  • id: 13315578
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  • id: 13315579
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  • id: 13315580
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  • id: 13315582
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  • id: 13315583
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  • id: 13315584
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  • id: 13315585
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  • id: 13315587
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  • id: 13315588
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  • id: 13315596
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  • id: 13315599
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  • id: 13315600
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  • id: 13315601
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  • id: 13315602
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  • id: 13315604
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  • id: 13315605
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  • id: 13315606
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  • id: 13315607
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  • id: 13315608
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  • id: 13315609
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  • id: 13315610
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  • id: 13315611
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  • id: 13315612
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  • id: 13315613
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  • id: 13315614
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  • id: 13315615
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  • id: 13315616
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  • id: 13315617
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  • id: 13315618
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  • id: 13315619
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  • id: 13315620
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  • id: 13315621
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  • id: 13315622
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  • id: 13315623
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  • id: 13315624
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  • id: 13315625
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  • id: 13315626
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  • id: 13315627
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  • id: 13315628
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  • id: 13315629
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  • id: 13315630
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  • id: 13315631
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  • id: 13315632
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  • id: 13315633
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  • id: 13315634
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  • id: 13315635
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  • id: 13315636
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  • id: 13315637
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  • id: 13315638
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  • id: 13315639
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  • id: 13315640
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  • id: 13315641
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  • id: 13315642
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  • id: 13315643
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  • id: 13315644
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  • id: 13315645
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  • id: 13315646
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  • id: 13315647
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  • id: 13315648
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  • id: 13315649
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  • id: 13315650
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  • id: 13315651
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  • id: 13315652
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  • id: 13315653
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  • id: 13315654
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  • id: 13315655
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  • id: 13315656
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  • id: 13315657
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  • id: 13315658
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  • id: 13315659
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  • id: 13315660
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  • id: 13315661
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  • id: 13315662
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  • id: 13315663
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  • id: 13315664
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  • id: 13315665
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  • id: 13315666
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  • id: 13315667
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  • id: 13315668
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  • id: 13315669
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  • id: 13315670
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  • id: 13315671
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  • id: 13315672
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  • id: 13315673
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  • id: 13315680
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  • id: 13315682
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  • id: 13315684
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  • id: 13315685
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  • id: 13315688
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  • id: 13315689
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  • id: 13315690
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  • id: 13315691
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  • id: 13315692
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  • id: 13315697
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  • id: 13315698
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  • id: 13315699
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  • id: 13315700
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