Embedded newform data - 1850.2.a.p.1.1

Formats: - HTML - YAML - JSON - 2025-04-23T21:52:23.767454

• 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': 7400, 'analytic_conductor': 14.772324373936872, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 1], [37, 1]], 'atkin_lehner_string': '-++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1850, 1, [1777, 1001], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-2, 1]], [7, [-4, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444113722, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1850.2.a.p', 'level': 1850, '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, 37], 'level_radical': 370, 'minimal_twist': '1850.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}+2q^{3}+q^{4}+2q^{6}+4q^{7}+q^{8}+\\cdots', 'related_objects': ['EllipticCurve/Q/1850/p'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1850.2.a', 'trace_display': [1, 2, 0, 4], 'trace_hash': 2026785506745601078, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.984', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.908', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.622', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.013', 'prec': 17}, 'traces': [1, 1, 2, 1, 0, 2, 4, 1, 1, 0, 0, 2, -2, 4, 0, 1, 0, 1, 5, 0, 8, 0, -3, 2, 0, -2, -4, 4, 6, 0, -4, 1, 0, 0, 0, 1, -1, 5, -4, 0, -9, 8, 7, 0, 0, -3, 6, 2, 9, 0, 0, -2, -9, -4, 0, 4, 10, 6, 3, 0, 2, -4, 4, 1, 0, 0, -2, 0, -6, 0, -6, 1, -11, -1, 0, 5, 0, -4, -1, 0, -11, -9, 0, 8, 0, 7, 12, 0, -6, 0, -8, -3, -8, 6, 0, 2, 4, 9, 0, 0, 3, 0, 13, -2, 0, -9, 18, -4, -16, 0, -2, 4, -18, 10, 0, 6, -2, 3, 0, 0, -11, 2, -18, -4, 0, 4, 16, 1, 14, 0, -12, 0, 20, -2, 0, 0, -6, -6, 14, 0, 12, -6, 0, 1, 0, -11, 18, -1, 15, 0, -4, 5, 0, 0, 0, -4, 13, -1, -18, 0, -12, -11, 7, -9, 0, 0, 3, 8, -9, 0, 5, 7, -6, 12, 0, 0, 6, -6, -12, 0, 5, -8, 4, -3, 0, -8, 0, 6, -16, 0, -9, 2, 4, 4, 0, 9, -27, 0, -13, 0, -4, 3, 24, 0, 0, 13, -3, -2, 0, 0, 2, -9, -12, 18, 0, -4, -16, -16, 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• 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], [0.7071067811865476, 0.0], [1.1547005383792515, 0.0], [0.5, 0.0], [0.0, 0.0], [0.816496580927726, 0.0], [1.511857892036909, 0.0], [0.3535533905932738, 0.0], [0.3333333333333333, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5773502691896257, 0.0], [-0.5547001962252291, 0.0], [1.0690449676496976, 0.0], [0.0, 0.0], [0.25, 0.0], [0.0, 0.0], [0.23570226039551584, 0.0], [1.1470786693528088, 0.0], [0.0, 0.0], [1.7457431218879391, 0.0], [0.0, 0.0], [-0.6255432421712243, 0.0], [0.408248290463863, 0.0], [0.0, 0.0], [-0.3922322702763681, 0.0], [-0.769800358919501, 0.0], [0.7559289460184545, 0.0], [1.1141720290623112, 0.0], [0.0, 0.0], [-0.7184212081070996, 0.0], [0.1767766952966369, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.16666666666666666, 0.0], [-0.1643989873053573, 0.0], [0.8111071056538127, 0.0], [-0.6405126152203485, 0.0], [0.0, 0.0], [-1.4055638569974547, 0.0], [1.2344267996967353, 0.0], [1.0674899923282326, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4423258684646914, 0.0], 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-0.14882691721240432, -0.14469423697331482, -0.27601944143521456, -0.1631975688861858, -0.20580322415529484, -0.23148459478942088, -0.2866233320887496, -0.32401386020071266, -0.22025236068786655, -0.3027845811975867, -0.22700766076062293, -0.4558878966367222, -0.32621384734052106, -0.2390346487896677, -0.2606657848769395, -0.2017275906681027, -0.3206607474581924, -0.1292712281791284, -0.20299257456014488, -0.17554983221958237, -0.4123393867585085, -0.25, -0.27961230107744156, -0.36057349603011235, -0.3307659488970918, -0.13508186416484466, -0.19174132212391717, -0.1544927811585058, -0.23603519132897782, -0.43318587969708383, -0.18008675962624882, -0.14320962151642355, -0.43869733902276026, -0.2147199904382026, -0.13079041416539486, -0.31595038442318785, -0.3349042227995269, -0.3017319050309929, -0.10460604325364446, -0.25831159788978036, -0.309029181964259, -0.16414362057362836, -0.1874054708433403, -0.4329784425797823, -0.14206834423599451, -0.17581203398178166, -0.16768142387946341, -0.20265336261311678, -0.14079212115539008, -0.19117295080461566, -0.3573975452264858, -0.27671140227310165, -0.34655498356475867, -0.22739107719008606, -0.13635697233366414, -0.25, -0.3834376067573112, -0.2947772603014695, -0.15763874323539093, -0.19095914729587923, -0.31656697126563277, -0.45625993816711496, -0.10172995227691971, -0.21804076605475933, -0.3785906051365122, -0.14514694477240017, -0.2844821637963606, -0.14786259720865394, -0.20908929227880005, -0.44858016570064635, -0.3338974009469956, -0.24333762730950703, -0.09342255108240044, -0.2401401529916776, -0.2998278471044548, -0.11848304157890074, -0.3860919864449994, -0.36249412255017777, -0.1657701685963501, -0.3090087068939222, -0.4377368681634548, -0.14009789281399931, -0.3180611214936828, -0.23743403195855173, -0.16095707935187273, -0.23127216865732275, -0.25, -0.14309353304517414, -0.12364014046996234, -0.11515999675970244, -0.06476723373222407, -0.28045827599946, -0.19479910130148034, -0.3852420045781968, -0.17615286660131577, -0.20205633490048852, -0.18341039378248022, -0.3575229340224386, -0.23244795708840915, -0.06716674215215884, -0.30920167876246085, -0.0981968213279104, -0.17234469299644387, -0.23279328342347475, -0.30800845314132264, -0.21591469149505377, -0.21617233846585007, -0.33179507323732205, -0.15233483824548164, -0.14905415871721825, -0.2165480816347534, -0.03742474360094239, -0.2665135303253261, -0.10568622925507246, -0.12267827414476375, -0.2364077417816653, -0.23371852491995362, -0.18064743069228548, -0.3640814548488278, -0.3404936141085276, -0.16599493256137718, -0.1447227834280743, -0.27381747252739463, -0.16151015842320474, -0.2022934626609568, -0.35657634829128204, -0.16868345081928351, -0.34006620221639056, -0.2732828613468956, -0.16695203450846274, -0.38992097601723114, -0.2035155602965931, -0.08486726784598284, -0.2831003051888428, -0.17688882638134407, -0.2675721663852758, -0.31152741101389286, -0.3113364374195812, -0.23002401860556845, -0.31095977597072705, -0.3805124319270147, -0.25988146665758605, -0.23523693209720561, -0.17619872710213058, -0.24266825561331204, -0.10308931144866461, -0.11146094821536874, -0.39858753044862266, -0.21354361913918402, -0.41077612215126574, -0.1585565962040617, -0.2936756705014121, -0.2861540713507471, -0.13878292044480228, -0.13914030390346754, -0.2737716396919703, -0.3228891601137245, -0.08706958041211871, -0.4594152284741797, -0.10902499348678865, -0.29217274763664797, -0.222140962653934, -0.299160616448081, -0.21762982691965074, -0.18416216146105258, -0.26370354213756836, -0.41409805038371666, -0.14777793636218092, -0.18958935794441756, -0.22041630387966668, -0.07971652809940741, -0.2770427141177954, -0.16598476062063663, -0.2859058445446644, -0.33379808087701035, -0.34943609089234806, -0.2051120152881428, -0.2005986074921082, -0.25, -0.2144320390625595, -0.30384949668834255, -0.3402067666989523, -0.17004801177906573, -0.22144843110908446, -0.23704336758279002, -0.10992000259445874, -0.21095251549868985, -0.33293352740056675, -0.13349147582233048, -0.42094137103170537, -0.3127931036322812, -0.19855064488324425, -0.19412660123648082, -0.1323685257323285, -0.15662858251215422, -0.19001465468383144, -0.25626888046052354, -0.29877585742171653, -0.36915871095708397, -0.15277135135302797, -0.1794766638842676, -0.3467772657589082, -0.22513525387048836, -0.41734717935650745, -0.17287499035237988, -0.16599400408557904, -0.39031467040568374, -0.1196926431627647, -0.25813863974287987, -0.24189309687014318, -0.4011008240541568, -0.292924129482511, -0.305536755457885, -0.375050783329258, -0.31833492380401934, -0.12555437572354447, -0.4170153899726542, -0.3155601573733167, -0.40433992788020084, -0.2860389779882698, -0.1270279860291237, -0.17603565856271783, -0.22617841058533322, -0.33965720511622316, -0.15343110975133034, -0.2142984847078551, -0.37072371468748766, -0.31416892729827917, -0.3729709603898007, -0.3119357161757452, -0.1624944126440595, -0.3489822395500723, -0.26935371377009226, -0.28492878540437927, -0.12134582792472252, -0.3528701640351614, -0.395665407005196, -0.17475540301250456, -0.3450300584780899, -0.23094816184656392, -0.2747659312700349, -0.2823134390535346, -0.07180930976760062, -0.23869568293735868, -0.2802851006500511, -0.3217899041847655, -0.3195068535440741, -0.29534180268557675, -0.07187837699341038, -0.2277074916928105, -0.28533823932564334, -0.26475469486109954, -0.2721481335176576, -0.27585599930840815, -0.13573756713614624, -0.1838594049062463, -0.3566820182447566, -0.3707700627475769, -0.25546791157270693, -0.28298516701467746, -0.38520695704529484, -0.3745471511062878, -0.26082356372047694, -0.30133043017042355, -0.15267883366804938, -0.20092796250882428, -0.23211017332784337, -0.2750588065745599, -0.310188968913485, -0.335997164674451], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444113722, 'label': '1850.2.a.p.1.1', 'level': 1850, '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

  
  {'ALdims': [7, 8, 9, 5, 8, 4, 5, 11], 'Nk2': 7400, 'analytic_conductor': 14.772324373936872, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1850, 1, [1777, 1001], [1, 1]], 'conrey_index': 1, 'cusp_dim': 273, 'dim': 57, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 33556282, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 5, 5], 'label': '1850.2.a', 'level': 1850, '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, 37], 'level_radical': 370, 'mf_dim': 296, 'mf_new_dim': 57, 'num_forms': 31, 'plus_dim': 21, 'prim_orbit_index': 1, 'relative_dim': 57, 'sturm_bound': 570, 'trace_bound': 7, 'trace_display': [-1, -2, 0, 8], 'traces': [57, -1, -2, 57, 0, 4, 8, -1, 67, 0, 6, -2, 2, 4, 0, 57, 2, -5, 4, 0, 20, -8, 12, 4, 0, -12, 4, 8, 22, 0, -4, -1, 32, -6, 0, 67, -1, 0, 44, 0, -8, -8, 16, 6, 0, 2, 4, -2, 81, 0, -12, 2, -18, 4, 0, 4, -4, -4, -44, 0, 14, 6, 68, 57, 0, -36, -2, 2, 16, 0, 0, -5, 20, 5, 0, 4, -28, 38, 60, 0, 81, -2, 24, 20, 0, -24, 20, -8, 38, 0, 56, 12, 24, 24, 0, 4, -14, 7, -40, 0, 22, -12, 36, -12, 0, 2, -46, 4, 30, 0, 0, 8, -38, -12, 0, 22, -46, 0, -32, 0, 27, -16, -46, -4, 0, -48, 48, -1, -108, 0, -52, 32, 32, -52, 0, -6, -60, 54, -42, 0, -44, 0, -56, 67, 0, -2, -18, -1, -122, 0, -12, 0, 22, -20, 0, 44, 2, 34, -24, 0, -136, 15, 16, -8, 0, -40, -36, -8, 105, 0, 48, 16, 10, -10, 0, 6, -76, -50, 80, 0, -26, 44, 56, 2, 0, 4, 12, 4, 80, 0, -28, -2, -2, -2, 0, 81, 6, -12, -24, 0, 164, -42, -104, -12, 0, -18, -4, 2, -12, 0, -14, -18, -68, -52, 0, 4, 36, 30, -72, 0, -96, -6, -16, 4, 0, -22, -60, -4, -34, 0, -160, -4, -52, 88, 0, -44, -72, -48, -76, 0, 34, -13, -20, 14, 0, 0, 128, 6, -76, 0, -92, 68, -56, 80, 0, 57, 34, 20, 4, 0, 38, 0, 48, -36, 0, 48, 4, -2, -82, 0, 24, 2, 4, -2, 0, 16, 122, 8, 72, 0, -54, -12, -16, 0, 0, -12, -4, -5, 71, 0, 100, 20, -22, -20, 0, 5, 110, -22, 98, 0, 72, -40, 20, 4, 0, -34, 50, -28, 48, 0, 44, 38, -78, 54, 0, 60, 22, 36, -72, 0, -142, -36, -8, 81, 0, 56, 48, -2, -112, 0, -124, 24, -5, -34, 0, 20, -28, -103, -56, 0, 8, -12, 16, -24, 0, -42, -84, 20, -62, 0, 92, -8, -82, -128, 0, 38, 40, -8, -136, 0, 29, 30, 8, 56, 0, -64, 4, 12, -44, 0, -88, 24, 38, 28, 0, 24, 70, -44, 10, 0, -40, -10, 96, 4, 0, -74, 24, -14, -146, 0, -20, 7, 28, -6, 0, -40, 38, 36, -32, 0, -82, -40, 56, 22, 0, -116, 8, -12, -22, 0, -200, 36, -8, -50, 0, -12, 26, -36, 62, 0, 142, 8, -132, 2, 0, -48, 148, -46, -184, 0, -8, 4, 92, 28, 0, 30, 24, -64, 36, 0, 3, -84, -6, 0, 0, 44, -140, 8, 142, 0, -228, -38, 156, 20, 0, -12, -14, 66, -216, 0, 86, 44, -52, 22, 0, -54, -56, -46, 28, 0, 4, 0, 128, -290, 0, -32, -134, -66, -292, 0, 16, 2, -116, 27, 0, 116, 40, -16, 12, 0, -70, -46, -88, -156, 0, -4, 16, 48, -164, 0, -48, 64, 76, -48, 0, -76, -38, 48, 46, 0, 60, -1, -204, -90, 0, -108, -88, -8, 112, 0, 2, -104, -120, -52, 0, 140, -16, 32, -25, 0, -136, 32, 36, -32, 0, -52, -8, -58, 38, 0, 46, 40, -64, -6, 0, -180, -108, -60, 14, 0, -232, 54, 128, -60, 0, -42, 10, -68, -36, 0, 56, -90, -80, -44, 0, -52, 88, 0, -42, 0, 34, -56, -264, 96, 0, 67, -26, 13, -44, 0, -320, -136, -84, -2, 0, 66, -16, -18, 28, 0, -104, -1, -52, -140, 0, -122, -16, 60, -264, 0, -36, -48, -108, -12, 0, -80, 20, 0, -276, 0, -60, 22, 2, 28, 0, -20, -32, 116, -14, 0, -24, 162, 8, 44, 0, 114, -4, 2, 6, 0, 220, 34, 200, -54, 0, -24, 18, 76, -60, 0, -52, -64, 8, -136, 0, -20, 44, 15, -132, 0, 156, 16, -22, 108, 0, -8, 58, 48, 106, 0, 222, -24, 56, -40, 0, 15, -38, -36, 332, 0, 100, -8, -24, 38, 0, 105, 146, -32, -40, 0, -148, 114, -104, 48, 0, 128, -172, 16, 240, 0, 248, 10, 200, 72, 0, -10, 156, 30, 166, 0, -114, 206, -16, 6, 0, 46, -120, -76, 190, 0, -20, -50, 32, 160, 0, 80, -72, -24, 152, 0, 380, 67, -356, -26, 0, -180, 28, 44, 175, 0, 120, 56, 2, -120, 0, 2, -62, 246, 50, 0, 148, 64, 160, 4, 0, 22, -88, 12, 20, 0, 184, 4, 204, 60, 0, 80, 170, -16, 500, 0, 12, -84, -48, -28, 0, -28, 32, -2, 126, 0, 188, -2, 230, -268, 0, -2, 32, -12, -64, 0, 12, 128, 140, 81, 0, -72, 72, 6, -192, 0, 16, -12, -160, 198, 0, -24, 34, -48, 272, 0, 326, -38, 186, 164, 0, -176, -80, -42, 66, 0, 74, -104, 212, 6, 0, -12, 24, 182, -4, 0, -318, -72, 104, -18, 0, 144, -56, -4, 294, 0, -256, 2, 66, 36, 0, -12, 56, -56, -136, 0, 129, -16, 296, -14, 0, -28, -4, -18, -180, 0, 26, -68, -134, -12, 0, -52, 118, 86, 136, 0, 4, -84, -236, 4, 0, -26, -110, 36, -112, 0, 384, 30, 346, 52, 0, -72, -106, 122, -68, 0, 252, -77, -160, -96, 0, -12, -48, -6, 264, 0, -308, -16, 0, 144, 0, 4, -112, 14, 176, 0, 116, 72, 24, -22, 0, 196, -60, -60, 22, 0, -16, -4, -104, 182, 0, -34, -200, -180, 72, 0, -518, 142, 168, -160, 0, -10, 80, -4, -80, 0, 188, -52, -64, -32, 0, 88, -32, 84, 328, 0, 294, -176, -236, -44, 0, 220, 48, -72, 300, 0, -280, -48, -76, -174, 0, -76, 200, -2, 540, 0, 123, -14, 42, 34, 0, 28, 92, -13, 52, 0, 74, -20, -156, 16, 0, 14, -86, -148, 160, 0, 246, -24, -72, 0, 0, 180, 32, 128, 40, 0, -36, 6, -64, 280, 0, -76, 114, -72, -24, 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: 47889939
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444113722, 'source_is_minimal': True, 'source_label': '1850.2.a.p.1.1', 'source_level': 1850, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444113722, 'target_is_minimal': True, 'target_label': '1850.2.a.p.1.1', 'target_level': 1850, 'twist_class_label': '1850.2.a.a.1.1', 'twist_class_level': 1850, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47889940
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444113722, 'source_is_minimal': True, 'source_label': '1850.2.a.p.1.1', 'source_level': 1850, 'target_conrey_index': 149, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518066889885498, 'target_is_minimal': False, 'target_label': '1850.2.b.f.149.2', 'target_level': 1850, 'twist_class_label': '1850.2.a.a.1.1', 'twist_class_level': 1850, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47889941
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444113722, 'source_is_minimal': True, 'source_label': '1850.2.a.p.1.1', 'source_level': 1850, 'target_conrey_index': 149, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518066889885498, 'target_is_minimal': False, 'target_label': '1850.2.b.f.149.1', 'target_level': 1850, 'twist_class_label': '1850.2.a.a.1.1', 'twist_class_level': 1850, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47889942
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444113722, 'source_is_minimal': True, 'source_label': '1850.2.a.p.1.1', 'source_level': 1850, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33556282, 'target_is_minimal': True, 'target_label': '1850.2.a.a.1.1', 'target_level': 1850, 'twist_class_label': '1850.2.a.a.1.1', 'twist_class_level': 1850, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2252700
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 2}
  • id: 2252701
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 3}
  • id: 2252702
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 5}
  • id: 2252703
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 7}
  • id: 2252704
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 11}
  • id: 2252705
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 13}
  • id: 2252706
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 17}
  • id: 2252707
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 19}
  • id: 2252708
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 23}
  • id: 2252709
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 29}
  • id: 2252710
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 31}
  • id: 2252711
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 37}
  • id: 2252712
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 41}
  • id: 2252713
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 43}
  • id: 2252714
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 47}
  • id: 2252715
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 53}
  • id: 2252716
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 59}
  • id: 2252717
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 61}
  • id: 2252718
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 67}
  • id: 2252719
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 71}
  • id: 2252720
    {'charpoly_factorization': [[[11, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 73}
  • id: 2252721
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 79}
  • id: 2252722
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 83}
  • id: 2252723
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 89}
  • id: 2252724
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 67553994444113722, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 16, 'label': '1850.2.a.p', 'level': 1850, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 60398293
    {'hecke_orbit_code': 67553994444113722, 'n': 1, 'trace_an': 1}
  • id: 60398294
    {'hecke_orbit_code': 67553994444113722, 'n': 2, 'trace_an': 1}
  • id: 60398295
    {'hecke_orbit_code': 67553994444113722, 'n': 3, 'trace_an': 2}
  • id: 60398296
    {'hecke_orbit_code': 67553994444113722, 'n': 4, 'trace_an': 1}
  • id: 60398297
    {'hecke_orbit_code': 67553994444113722, 'n': 5, 'trace_an': 0}
  • id: 60398298
    {'hecke_orbit_code': 67553994444113722, 'n': 6, 'trace_an': 2}
  • id: 60398299
    {'hecke_orbit_code': 67553994444113722, 'n': 7, 'trace_an': 4}
  • id: 60398300
    {'hecke_orbit_code': 67553994444113722, 'n': 8, 'trace_an': 1}
  • id: 60398301
    {'hecke_orbit_code': 67553994444113722, 'n': 9, 'trace_an': 1}
  • id: 60398302
    {'hecke_orbit_code': 67553994444113722, 'n': 10, 'trace_an': 0}
  • id: 60398303
    {'hecke_orbit_code': 67553994444113722, 'n': 11, 'trace_an': 0}
  • id: 60398304
    {'hecke_orbit_code': 67553994444113722, 'n': 12, 'trace_an': 2}
  • id: 60398305
    {'hecke_orbit_code': 67553994444113722, 'n': 13, 'trace_an': -2}
  • id: 60398306
    {'hecke_orbit_code': 67553994444113722, 'n': 14, 'trace_an': 4}
  • id: 60398307
    {'hecke_orbit_code': 67553994444113722, 'n': 15, 'trace_an': 0}
  • id: 60398308
    {'hecke_orbit_code': 67553994444113722, 'n': 16, 'trace_an': 1}
  • id: 60398309
    {'hecke_orbit_code': 67553994444113722, 'n': 17, 'trace_an': 0}
  • id: 60398310
    {'hecke_orbit_code': 67553994444113722, 'n': 18, 'trace_an': 1}
  • id: 60398311
    {'hecke_orbit_code': 67553994444113722, 'n': 19, 'trace_an': 5}
  • id: 60398312
    {'hecke_orbit_code': 67553994444113722, 'n': 20, 'trace_an': 0}
  • id: 60398313
    {'hecke_orbit_code': 67553994444113722, 'n': 21, 'trace_an': 8}
  • id: 60398314
    {'hecke_orbit_code': 67553994444113722, 'n': 22, 'trace_an': 0}
  • id: 60398315
    {'hecke_orbit_code': 67553994444113722, 'n': 23, 'trace_an': -3}
  • id: 60398316
    {'hecke_orbit_code': 67553994444113722, 'n': 24, 'trace_an': 2}
  • id: 60398317
    {'hecke_orbit_code': 67553994444113722, 'n': 25, 'trace_an': 0}
  • id: 60398318
    {'hecke_orbit_code': 67553994444113722, 'n': 26, 'trace_an': -2}
  • id: 60398319
    {'hecke_orbit_code': 67553994444113722, 'n': 27, 'trace_an': -4}
  • id: 60398320
    {'hecke_orbit_code': 67553994444113722, 'n': 28, 'trace_an': 4}
  • id: 60398321
    {'hecke_orbit_code': 67553994444113722, 'n': 29, 'trace_an': 6}
  • id: 60398322
    {'hecke_orbit_code': 67553994444113722, 'n': 30, 'trace_an': 0}
  • id: 60398323
    {'hecke_orbit_code': 67553994444113722, 'n': 31, 'trace_an': -4}
  • id: 60398324
    {'hecke_orbit_code': 67553994444113722, 'n': 32, 'trace_an': 1}
  • id: 60398325
    {'hecke_orbit_code': 67553994444113722, 'n': 33, 'trace_an': 0}
  • id: 60398326
    {'hecke_orbit_code': 67553994444113722, 'n': 34, 'trace_an': 0}
  • id: 60398327
    {'hecke_orbit_code': 67553994444113722, 'n': 35, 'trace_an': 0}
  • id: 60398328
    {'hecke_orbit_code': 67553994444113722, 'n': 36, 'trace_an': 1}
  • id: 60398329
    {'hecke_orbit_code': 67553994444113722, 'n': 37, 'trace_an': -1}
  • id: 60398330
    {'hecke_orbit_code': 67553994444113722, 'n': 38, 'trace_an': 5}
  • id: 60398331
    {'hecke_orbit_code': 67553994444113722, 'n': 39, 'trace_an': -4}
  • id: 60398332
    {'hecke_orbit_code': 67553994444113722, 'n': 40, 'trace_an': 0}
  • id: 60398333
    {'hecke_orbit_code': 67553994444113722, 'n': 41, 'trace_an': -9}
  • id: 60398334
    {'hecke_orbit_code': 67553994444113722, 'n': 42, 'trace_an': 8}
  • id: 60398335
    {'hecke_orbit_code': 67553994444113722, 'n': 43, 'trace_an': 7}
  • id: 60398336
    {'hecke_orbit_code': 67553994444113722, 'n': 44, 'trace_an': 0}
  • id: 60398337
    {'hecke_orbit_code': 67553994444113722, 'n': 45, 'trace_an': 0}
  • id: 60398338
    {'hecke_orbit_code': 67553994444113722, 'n': 46, 'trace_an': -3}
  • id: 60398339
    {'hecke_orbit_code': 67553994444113722, 'n': 47, 'trace_an': 6}
  • id: 60398340
    {'hecke_orbit_code': 67553994444113722, 'n': 48, 'trace_an': 2}
  • id: 60398341
    {'hecke_orbit_code': 67553994444113722, 'n': 49, 'trace_an': 9}
  • id: 60398342
    {'hecke_orbit_code': 67553994444113722, 'n': 50, 'trace_an': 0}
  • id: 60398343
    {'hecke_orbit_code': 67553994444113722, 'n': 51, 'trace_an': 0}
  • id: 60398344
    {'hecke_orbit_code': 67553994444113722, 'n': 52, 'trace_an': -2}
  • id: 60398345
    {'hecke_orbit_code': 67553994444113722, 'n': 53, 'trace_an': -9}
  • id: 60398346
    {'hecke_orbit_code': 67553994444113722, 'n': 54, 'trace_an': -4}
  • id: 60398347
    {'hecke_orbit_code': 67553994444113722, 'n': 55, 'trace_an': 0}
  • id: 60398348
    {'hecke_orbit_code': 67553994444113722, 'n': 56, 'trace_an': 4}
  • id: 60398349
    {'hecke_orbit_code': 67553994444113722, 'n': 57, 'trace_an': 10}
  • id: 60398350
    {'hecke_orbit_code': 67553994444113722, 'n': 58, 'trace_an': 6}
  • id: 60398351
    {'hecke_orbit_code': 67553994444113722, 'n': 59, 'trace_an': 3}
  • id: 60398352
    {'hecke_orbit_code': 67553994444113722, 'n': 60, 'trace_an': 0}
  • id: 60398353
    {'hecke_orbit_code': 67553994444113722, 'n': 61, 'trace_an': 2}
  • id: 60398354
    {'hecke_orbit_code': 67553994444113722, 'n': 62, 'trace_an': -4}
  • id: 60398355
    {'hecke_orbit_code': 67553994444113722, 'n': 63, 'trace_an': 4}
  • id: 60398356
    {'hecke_orbit_code': 67553994444113722, 'n': 64, 'trace_an': 1}
  • id: 60398357
    {'hecke_orbit_code': 67553994444113722, 'n': 65, 'trace_an': 0}
  • id: 60398358
    {'hecke_orbit_code': 67553994444113722, 'n': 66, 'trace_an': 0}
  • id: 60398359
    {'hecke_orbit_code': 67553994444113722, 'n': 67, 'trace_an': -2}
  • id: 60398360
    {'hecke_orbit_code': 67553994444113722, 'n': 68, 'trace_an': 0}
  • id: 60398361
    {'hecke_orbit_code': 67553994444113722, 'n': 69, 'trace_an': -6}
  • id: 60398362
    {'hecke_orbit_code': 67553994444113722, 'n': 70, 'trace_an': 0}
  • id: 60398363
    {'hecke_orbit_code': 67553994444113722, 'n': 71, 'trace_an': -6}
  • id: 60398364
    {'hecke_orbit_code': 67553994444113722, 'n': 72, 'trace_an': 1}
  • id: 60398365
    {'hecke_orbit_code': 67553994444113722, 'n': 73, 'trace_an': -11}
  • id: 60398366
    {'hecke_orbit_code': 67553994444113722, 'n': 74, 'trace_an': -1}
  • id: 60398367
    {'hecke_orbit_code': 67553994444113722, 'n': 75, 'trace_an': 0}
  • id: 60398368
    {'hecke_orbit_code': 67553994444113722, 'n': 76, 'trace_an': 5}
  • id: 60398369
    {'hecke_orbit_code': 67553994444113722, 'n': 77, 'trace_an': 0}
  • id: 60398370
    {'hecke_orbit_code': 67553994444113722, 'n': 78, 'trace_an': -4}
  • id: 60398371
    {'hecke_orbit_code': 67553994444113722, 'n': 79, 'trace_an': -1}
  • id: 60398372
    {'hecke_orbit_code': 67553994444113722, 'n': 80, 'trace_an': 0}
  • id: 60398373
    {'hecke_orbit_code': 67553994444113722, 'n': 81, 'trace_an': -11}
  • id: 60398374
    {'hecke_orbit_code': 67553994444113722, 'n': 82, 'trace_an': -9}
  • id: 60398375
    {'hecke_orbit_code': 67553994444113722, 'n': 83, 'trace_an': 0}
  • id: 60398376
    {'hecke_orbit_code': 67553994444113722, 'n': 84, 'trace_an': 8}
  • id: 60398377
    {'hecke_orbit_code': 67553994444113722, 'n': 85, 'trace_an': 0}
  • id: 60398378
    {'hecke_orbit_code': 67553994444113722, 'n': 86, 'trace_an': 7}
  • id: 60398379
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  • id: 60398382
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  • id: 60398383
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  • id: 60398384
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  • id: 60398385
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  • id: 60398386
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  • id: 60398388
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  • id: 60398389
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  • id: 60398390
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  • id: 60398391
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  • id: 60398392
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  • id: 60398393
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  • id: 60398394
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  • id: 60398395
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  • id: 60398396
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  • id: 60398397
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  • id: 60398399
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  • id: 60398400
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  • id: 60398401
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  • id: 60398402
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  • id: 60398403
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  • id: 60398404
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  • id: 60398405
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  • id: 60398407
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  • id: 60398408
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  • id: 60398409
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  • id: 60398410
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  • id: 60398411
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  • id: 60398412
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  • id: 60398413
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  • id: 60398414
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  • id: 60398415
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  • id: 60398416
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  • id: 60398417
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  • id: 60398418
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  • id: 60398419
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  • id: 60398420
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  • id: 60398421
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  • id: 60398422
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  • id: 60398423
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  • id: 60398424
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  • id: 60398425
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  • id: 60398426
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  • id: 60398427
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  • id: 60398428
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  • id: 60398429
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  • id: 60398430
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  • id: 60398431
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  • id: 60398432
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  • id: 60398433
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  • id: 60398434
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  • id: 60398435
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  • id: 60398436
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  • id: 60398437
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  • id: 60398438
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  • id: 60398439
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  • id: 60398440
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  • id: 60398441
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  • id: 60398442
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  • id: 60398443
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  • id: 60398444
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  • id: 60398445
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  • id: 60398446
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  • id: 60398447
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  • id: 60398448
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  • id: 60398449
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  • id: 60398450
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  • id: 60398451
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  • id: 60398452
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  • id: 60398453
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  • id: 60398454
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  • id: 60398455
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  • id: 60398456
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  • id: 60398457
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  • id: 60398458
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  • id: 60398459
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  • id: 60398460
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  • id: 60398461
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  • id: 60398462
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  • id: 60398463
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  • id: 60398464
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  • id: 60398465
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  • id: 60398466
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  • id: 60398467
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  • id: 60398468
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  • id: 60398469
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  • id: 60398470
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  • id: 60398471
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  • id: 60398472
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  • id: 60398473
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  • id: 60398474
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  • id: 60398476
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  • id: 60398477
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  • id: 60398478
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  • id: 60398479
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  • id: 60398480
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  • id: 60398481
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  • id: 60398482
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  • id: 60398483
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  • id: 60398484
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  • id: 60398485
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  • id: 60398486
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  • id: 60398487
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  • id: 60398488
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  • id: 60398489
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  • id: 60398490
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  • id: 60398491
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  • id: 60398492
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  • id: 60398493
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  • id: 60398494
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  • id: 60398495
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  • id: 60398496
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  • id: 60398497
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  • id: 60398498
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  • id: 60398499
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  • id: 60398500
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  • id: 60398501
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  • id: 60398502
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  • id: 60398503
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  • id: 60398504
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  • id: 60398505
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  • id: 60398506
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  • id: 60398507
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  • id: 60398508
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  • id: 60398509
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  • id: 60398510
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  • id: 60398511
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  • id: 60398512
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  • id: 60398513
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  • id: 60398514
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  • id: 60398515
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  • id: 60398516
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  • id: 60398517
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  • id: 60398518
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  • id: 60398519
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  • id: 60398520
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  • id: 60398521
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  • id: 60398522
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  • id: 60398523
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  • id: 60398524
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  • id: 60398525
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  • id: 60398526
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  • id: 60398527
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  • id: 60398528
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  • id: 60398529
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  • id: 60398530
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  • id: 60398531
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  • id: 60398532
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  • id: 60398533
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  • id: 60398534
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  • id: 60398535
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  • id: 60398536
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  • id: 60398537
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  • id: 60398538
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  • id: 60398539
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  • id: 60398540
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  • id: 60398541
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  • id: 60398542
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  • id: 60398543
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  • id: 60398544
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  • id: 60398545
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  • id: 60398546
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  • id: 60398547
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  • id: 60398548
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  • id: 60398549
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  • id: 60398550
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