Embedded newform data - 378.3.s.d.107.4

Formats: - HTML - YAML - JSON - 2024-05-08T18:25:55.925047

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 3402, 'analytic_conductor': 10.299753992819223, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 21, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 19, 'char_orbit_label': 's', 'char_order': 6, 'char_parity': -1, 'char_values': [378, 6, [29, 325], [3, 4]], 'cm_discs': [], 'conrey_index': 53, 'conrey_indexes': [53, 107], 'dim': 8, 'field_disc': 621801639936, 'field_disc_factorization': [[2, 12], [3, 4], [37, 4]], 'field_poly': [4467, 2196, -1664, -1024, 413, 116, -34, -4, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [104976, 0, -12312, 0, 1120, 0, -38, 0, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13512035883024762, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 7, 3, 1, 3, 0], [1, 1, 21, 8, -1, 6, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '378.3.s.d', 'level': 378, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '378.3.s.d', 'nf_label': '8.0.621801639936.1', 'prim_orbit_index': 8, 'qexp_display': 'q+\\beta _{5}q^{2}+(2+2\\beta _{1})q^{4}-\\beta _{2}q^{5}+(-2+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '2.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '378.3.s', 'trace_display': [0, 0, 0, -24], 'trace_hash': 1086945550733816901, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.112', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '378.273', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '36793.272', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.509', 'prec': 17}, 'traces': [8, 0, 0, 8, 0, 0, -24, 0, 0, 4, 0, 0, 56, 0, 0, -16, 0, 0, 52, 0, 0, 80, 0, 0, -24, 0, 0, -48, 0, 0, -28, 0, 0, 56, 0, 0, 4, 0, 0, -8, 0, 0, -176, 0, 0, 92, 0, 0, -100, 0, 0, 56, 0, 0, -256, 0, 0, -68, 0, 0, 152, 0, 0, -64, 0, 0, 180, 0, 0, -172, 0, 0, -264, 0, 0, 208, 0, 0, 392, 0, 0, 36, 0, 0, -712, 0, 0, 80, 0, 0, -316, 0, 0, 84, 0, 0, 48, 0, 0, 48, 0, 0, 244, 0, 0, -216, 0, 0, 552, 0, 0, 0, 0, 0, -28, 0, 0, 736, 0, 0, 12, 0, 0, 56, 0, 0, 272, 0, 0, -120, 0, 0, 0, 0, 0, 56, 0, 0, 408, 0, 0, -520, 0, 0, -404, 0, 0, 16, 0, 0, 324, 0, 0, -536, 0, 0, -140, 0, 0, -32, 0, 0, 388, 0, 0, 704, 0, 0, -664, 0, 0, -176, 0, 0, -4, 0, 0, 204, 0, 0, 248, 0, 0, -184, 0, 0, 880, 0, 0, 104, 0, 0, 100, 0, 0, -400, 0, 0, -488, 0, 0, 208, 0, 0, -204, 0, 0, -112, 0, 0, -752, 0, 0, -384, 0, 0, -424, 0, 0, -256, 0, 0, -680, 0, 0, -200, 0, 0, -684, 0, 0, -272, 0, 0, 708, 0, 0, -908, 0, 0, 88, 0, 0, 608, 0, 0, 364, 0, 0, -24, 0, 0, 1216, 0, 0, -64, 0, 0, 2664, 0, 0, -356, 0, 0, -2328, 0, 0, -360, 0, 0, -1336, 0, 0, 520, 0, 0, 280, 0, 0, -592, 0, 0, 408, 0, 0, 1152, 0, 0, 792, 0, 0, 528, 0, 0, -224, 0, 0, -1212, 0, 0, 1860, 0, 0, 208, 0, 0, -1128, 0, 0, -564, 0, 0, 420, 0, 0, 1568, 0, 0, -400, 0, 0, -404, 0, 0, -316, 0, 0, 144, 0, 0, 1096, 0, 0, -512, 0, 0, 1208, 0, 0, -712, 0, 0, 0, 0, 0, 1156, 0, 0, -2568, 0, 0, -160, 0, 0, -112, 0, 0, -888, 0, 0, 768, 0, 0, -40, 0, 0, 328, 0, 0, 2672, 0, 0, 276, 0, 0, -168, 0, 0, 792, 0, 0, -324, 0, 0, 1360, 0, 0, 48, 0, 0, 1384, 0, 0, -1408, 0, 0, -1144, 0, 0, 192, 0, 0, -788, 0, 0, -1480, 0, 0, 724, 0, 0, 976, 0, 0, 944, 0, 0, 520, 0, 0, -1072, 0, 0, -216, 0, 0, 2072, 0, 0, 1244, 0, 0, -3728, 0, 0, -1104, 0, 0, -1132, 0, 0, 1872, 0, 0, -1452, 0, 0, 192, 0, 0, -624, 0, 0, -408, 0, 0, -1080, 0, 0, 56, 0, 0, -2928, 0, 0, -1324, 0, 0, -44, 0, 0, 736, 0, 0, -624, 0, 0, -1428, 0, 0, -1304, 0, 0, 48, 0, 0, -380, 0, 0, -200, 0, 0, -1612, 0, 0, 224, 0, 0, 2388, 0, 0, 996, 0, 0, 5728, 0, 0, 272, 0, 0, 1732, 0, 0, 672, 0, 0, -1824, 0, 0, 240, 0, 0, -1232, 0, 0, 1824, 0, 0, -984, 0, 0, -624, 0, 0, -1968, 0, 0, 3520, 0, 0, 584, 0, 0, -112, 0, 0, 632, 0, 0, -536, 0, 0, 1184, 0, 0, 408, 0, 0, -3896, 0, 0, -2776, 0, 0, 640, 0, 0, -2080, 0, 0, 296, 0, 0, -888, 0, 0, -780, 0, 0, -1616, 0, 0, 1680, 0, 0, -936, 0, 0, -728, 0, 0, 16, 0, 0, 2284, 0, 0, 792, 0, 0, -4016, 0, 0, -648, 0, 0, -1036, 0, 0, 2376, 0, 0, 2888, 0, 0, 112, 0, 0, 3012, 0, 0, 4816, 0, 0, 1608, 0, 0, 280, 0, 0, -3536, 0, 0, 912, 0, 0, 1076, 0, 0, -32, 0, 0, 3832, 0, 0, 364, 0, 0, 2432, 0, 0, 1552, 0, 0, 2116, 0, 0, -1836, 0, 0, -3372, 0, 0, 2816, 0, 0, -412, 0, 0, 856, 0, 0, 208, 0, 0, -664, 0, 0, 4, 0, 0, -1464, 0, 0, 1000, 0, 0, 352, 0, 0, 232, 0, 0, -912, 0, 0, -1236, 0, 0, -592, 0, 0, -52, 0, 0, -4224, 0, 0, -1784, 0, 0, -408, 0, 0, -2976, 0, 0, -1664, 0, 0, 2664, 0, 0, 248, 0, 0, -5040, 0, 0, 412, 0, 0, 2120, 0, 0, -736, 0, 0, 740, 0, 0, -1572, 0, 0, -828, 0, 0, 3520, 0, 0, 1208, 0, 0, 264, 0, 0, 2960, 0, 0, 104, 0, 0, -3164, 0, 0, 344, 0, 0, 5040, 0, 0, -200, 0, 0, -760, 0, 0, -968, 0, 0, 2896, 0, 0, -400, 0, 0, 2900, 0, 0, 1968, 0, 0, 28, 0, 0, 976, 0, 0, -6072, 0, 0, -1920, 0, 0, -1460, 0, 0, 208, 0, 0, -840, 0, 0, -2624, 0, 0, -1144, 0, 0, -816, 0, 0, 792, 0, 0, -2800, 0, 0, -540, 0, 0, -448, 0, 0, 928, 0, 0, -684, 0, 0, 1872, 0, 0, -752, 0, 0, -5920, 0, 0, -908, 0, 0, -176, 0, 0, 768, 0, 0, -1772, 0, 0, 576, 0, 0, 652, 0, 0, -2368, 0, 0, 2296, 0, 0, 2392, 0, 0, -204, 0, 0, 512, 0, 0, -7784, 0, 0, 4172, 0, 0, -1852, 0, 0, -680, 0, 0, 4440, 0, 0, 2044, 0, 0, 5172, 0, 0, -800, 0, 0, 4016, 0, 0, -168, 0, 0, -2336, 0, 0, -2736, 0, 0, -492, 0, 0, 3904, 0, 0, 2616, 0, 0, -272, 0, 0, 1300, 0, 0, -1040, 0, 0, 376, 0, 0, -1416, 0, 0, 636, 0, 0, -7088, 0, 0, -1700, 0, 0, 1144, 0, 0, 1836, 0, 0, -6232, 0, 0, 1280, 0, 0, -176, 0, 0, -6248, 0, 0, 172, 0, 0, 1588, 0, 0, 608, 0, 0, 8256, 0, 0, 2688, 0, 0, -1888, 0, 0, 1456, 0, 0, 2116, 0, 0, 592, 0, 0, -5192, 0, 0, -96], '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], [0.6123724356957945, 0.3535533905932738], [0.0, 0.0], [0.25, 0.4330127018922193], [0.8674577084267259, 0.5008269414707861], [0.0, 0.0], [0.005911609307015692, 0.9999825262850353], [0.0, 0.3535533905932738], [0.0, 0.0], [0.354138126514911, 0.6133852280210808], [-0.12055525962888405, 0.06960261159896143], [0.0, 0.0], [0.07055672843859849, 0.0], [-0.3499271061118826, 0.614451804788759], [0.0, 0.0], [-0.125, 0.21650635094610965], [-0.8434102048422714, 0.48694310880296277], [0.0, 0.0], [0.34210526315789475, -0.5925436973261948], [0.0, 0.5008269414707861], [0.0, 0.0], [-0.09843295729983816, 0.0], [0.4504195615028452, 0.26004985508194084], [0.0, 0.0], [0.0016552506059643937, 0.0028669781487895016], [0.04320699564867129, 0.024945570568635358], [0.0, 0.0], [-0.4315272332249364, 0.25255543348982085], [0.0, 1.1560906361302716], [0.0, 0.0], [0.2795330664708529, 0.4841654735230454], [-0.15309310892394862, 0.08838834764831845], [0.0, 0.0], [-0.6886415485732676, 0.0], [-0.4956901191009862, 0.8704032439263878], [0.0, 0.0], [0.7533089563876213, -1.3047693862600476], [0.4189916665287015, -0.24190495145855573], [0.0, 0.0], [-0.1770690632574555, 0.3066926140105404], [0.0, 0.15950065536304908], [0.0, 0.0], [0.761508436574046, 0.0], [-0.06027762981444203, -0.034801305799480715], [0.0, 0.0], [0.18388301597501935, 0.318494726317733], [0.9868950235649404, 0.5697841075171204], [0.0, 0.0], [-0.9999301057508024, 0.011823012018479356], [0.0, 0.0023408778560811295], [0.0, 0.0], [0.017639182109649622, 0.03055195961787312], [-1.3661848558557355, 0.7887671942910989], [0.0, 0.0], [-0.13943545234194765, 0.0], [-0.3535472127021017, 0.0020900695143581515], [0.0, 0.0], [-0.4087397642369922, 0.7079580387321949], [0.7023491467501992, -0.4055014689413315], [0.0, 0.0], [0.6604863746892421, -1.1439959586687418], [0.0, 0.39531945373482], [0.0, 0.0], [-0.125, 0.0], [0.06120497796543344, 0.03533671050408811], [0.0, 0.0], [0.018064643939645242, 0.031288881124106764], [-0.4217051024211357, -0.24347155440148138], [0.0, 0.0], [-0.6112809836577682, 0.3577580322289855], [0.0, 1.173543046298712], [0.0, 0.0], [-0.49371755157738506, -0.8551438839205386], [0.9226112809090894, -0.5326698713902482], [0.0, 0.0], [0.34210526315789475, 0.0], [-0.07031407097759736, -0.12014168963411878], [0.0, 0.0], [0.7742471526657777, -1.3410354060326641], [-0.21686442710668147, 0.12520673536769653], [0.0, 0.0], [-0.05639199750545524, 0.09767380481974586], [0.0, -1.9139770428554563], [0.0, 0.0], [-0.9754969114082562, 0.0], [0.466326776107745, 0.26923388971613693], [0.0, 0.0], [-0.02460823932495954, -0.04262272079564437], [-0.5280027417383035, -0.30484252507547], [0.0, 0.0], [0.00041710381251019757, 0.0705554955504369], [0.0, 0.26004985508194084], [0.0, 0.0], [0.40289820623768074, 0.6978401634820269], [0.5935236952393388, -0.34267106521685364], [0.0, 0.0], [0.12456456216802288, 0.0], [-0.6165097003703307, -0.34628859257747013], [0.0, 0.0], [-0.0008276253029821969, 0.0014334890743947508], [1.5590940135913702, -0.9001433484389116], [0.0, 0.0], [0.5618682658868154, -0.9731843836765833], [0.0, 0.024945570568635358], [0.0, 0.0], [-1.115485263721446, 0.0], [-1.384913461507517, -0.7995801598057013], [0.0, 0.0], [0.6051249425215678, 1.0481071453745519], [-0.08538642757298337, -0.04929787694440243], [0.0, 0.0], [-0.21724151893922214, -0.12371791482634838], [0.0, -0.06775475465385626], [0.0, 0.0], [0.2604799471012192, 0.4511645027321652], [-0.5006019299830635, 0.2890226590325679], [0.0, 0.0], [0.5734656769390434, 0.0], [-0.49192051171445306, -0.8405168499187669], [0.0, 0.0], [-0.4903109529172082, 0.8492434819601163], [0.8089273000246727, -0.46703439442408196], [0.0, 0.0], [-0.13976653323542645, 0.2420827367615227], [0.0, -0.9983379065481609], [0.0, 0.0], [-0.06755384025265777, 0.0], [-0.07654655446197431, -0.04419417382415922], [0.0, 0.0], [0.02498682762226661, 0.04327845496173121], [0.46542940856982573, 0.2687157943265572], [0.0, 0.0], [0.5945557360441869, 0.33859639847211137], [0.0, 0.025547264458887237], [0.0, 0.0], [-0.1721603871433169, -0.2981905375829526], [0.4264875098716483, -0.24623267863040932], [0.0, 0.0], [1.1983632235659436, 0.0], [-0.5008181901635642, 0.0029606932084029025], [0.0, 0.0], [-0.4149101230260689, 0.7186454136558048], [-0.008505984715479907, 0.004910932565205167], [0.0, 0.0], [-0.5790013373561393, 1.0028597339511611], [0.0, -0.698222057422376], [0.0, 0.0], [0.7533089563876213, 0.0], [-1.3202925928532836, -0.7622712838929122], [0.0, 0.0], [0.9127430495680233, 1.5809173361071744], [0.20949583326435076, 0.12095247572927786], [0.0, 0.0], [-0.0005818971864908015, -0.09843123731039916], [0.0, 0.5599907628821887], [0.0, 0.0], [-0.634505058337745, -1.0989949987004288], [0.948255229416952, -0.5474754119643476], [0.0, 0.0], [-0.1770690632574555, 0.0], [-0.2573826065730544, 0.4519490041434034], [0.0, 0.0], [0.29754601226993865, -0.5153648108410464], [-0.06906580973233359, 0.03987516384076227], [0.0, 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0.0021724978744663013, 0.025715133218650956, -0.34045064070572406, -0.2443119496826701, -0.13606620036075406, 0.39652175825948904, -0.2060310554095093, 0.12224313609261768, -0.14537203030538876, -0.2142601063604899, -0.20600222004918822, -0.4625124733595122, -0.4950807747578137, 0.03219176911614083, -0.47410878211021884, -0.2148210647410928, -0.39252161885231984, -0.34409150382165093, 0.0068356138412400255, -0.33995423108941747, -0.3202167366991504, -0.22312651658967467, -0.0580500092376959, -0.19034331203191204, -0.3529383305134974, 0.022127205190264992, -0.4844447478327073, -0.4592887543426532, -0.3665340091394911, -0.017375447502861487, -0.15153933038893888, -0.3813824044364349, 0.03926323702514262, -0.4250169161392657, -0.2674087590635155, 0.36067323657403766, -0.46521761442290444, -0.25580809813533395, -0.45024369240172174, -0.4053062582763098, -0.3868201895084379, -0.2416687127570712, -0.006128685294956661, -0.34411851118640835, -0.3377407862934571, -0.16047065185105622, -0.28186602314398235, -0.24305317342928445, -0.18604456574194442, -0.38359618954445834, -0.3644223908122035, -0.08085269221853787, -0.32117183601166327, -0.40346739483261523, -0.15620541184886017, -0.14006420082171983], 'char_orbit_index': 19, 'conrey_index': 107, 'dual_conrey_index': 53, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 4, 'embedding_m': 8, 'embedding_root_imag': 0.7071067811865476, 'embedding_root_real': 2.3166363937575207, 'hecke_orbit': 4, 'hecke_orbit_code': 13512035883024762, 'label': '378.3.s.d.107.4', 'level': 378, 'weight': 3}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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': 3402, 'analytic_conductor': 10.299753992819223, 'char_conductor': 21, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 19, 'char_orbit_label': 's', 'char_order': 6, 'char_parity': -1, 'char_values': [378, 6, [29, 325], [3, 4]], 'conrey_index': 53, 'cusp_dim': 264, 'dim': 44, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 1237000913274, 'hecke_orbit_dims': [4, 4, 4, 8, 24], 'label': '378.3.s', 'level': 378, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 312, 'mf_new_dim': 44, 'num_forms': 5, 'prim_orbit_index': 8, 'relative_dim': 22, 'sturm_bound': 216, 'trace_bound': 7, 'trace_display': [0, 0, 0, 6], 'traces': [44, 0, 0, 44, 0, 0, 6, 0, 0, -8, 0, 0, 32, 0, 0, -88, 0, 0, -74, 0, 0, -16, 0, 0, 150, 0, 0, 36, 0, 0, 74, 0, 0, -16, 0, 0, -104, 0, 0, 16, 0, 0, 148, 0, 0, 56, 0, 0, 314, 0, 0, 32, 0, 0, 992, 0, 0, -8, 0, 0, 38, 0, 0, -352, 0, 0, -84, 0, 0, -208, 0, 0, -510, 0, 0, -296, 0, 0, 260, 0, 0, -48, 0, 0, -1048, 0, 0, -16, 0, 0, -160, 0, 0, 48, 0, 0, -468, 0, 0, -300, 0, 0, 640, 0, 0, 336, 0, 0, -126, 0, 0, 48, 0, 0, -148, 0, 0, 64, 0, 0, 438, 0, 0, -148, 0, 0, 356, 0, 0, -24, 0, 0, -1200, 0, 0, -16, 0, 0, -1368, 0, 0, 296, 0, 0, -176, 0, 0, -416, 0, 0, 258, 0, 0, -1040, 0, 0, 616, 0, 0, 64, 0, 0, 334, 0, 0, 1136, 0, 0, 764, 0, 0, 148, 0, 0, 1634, 0, 0, -384, 0, 0, -28, 0, 0, -112, 0, 0, -584, 0, 0, 1520, 0, 0, -656, 0, 0, -256, 0, 0, 142, 0, 0, -224, 0, 0, 300, 0, 0, -64, 0, 0, -3524, 0, 0, -432, 0, 0, -2554, 0, 0, 992, 0, 0, 1192, 0, 0, -56, 0, 0, 942, 0, 0, -32, 0, 0, 1284, 0, 0, 1960, 0, 0, -506, 0, 0, 152, 0, 0, -944, 0, 0, -1296, 0, 0, 3352, 0, 0, -352, 0, 0, -12, 0, 0, 136, 0, 0, -816, 0, 0, 168, 0, 0, -2206, 0, 0, -416, 0, 0, 1486, 0, 0, -160, 0, 0, 1170, 0, 0, 6240, 0, 0, 498, 0, 0, 1020, 0, 0, 3712, 0, 0, 312, 0, 0, 3774, 0, 0, -296, 0, 0, -348, 0, 0, -1368, 0, 0, -1374, 0, 0, 1040, 0, 0, -268, 0, 0, -1784, 0, 0, -124, 0, 0, -192, 0, 0, -722, 0, 0, -80, 0, 0, -6268, 0, 0, -1048, 0, 0, 1200, 0, 0, 232, 0, 0, -7692, 0, 0, 32, 0, 0, 3080, 0, 0, -1776, 0, 0, -852, 0, 0, 224, 0, 0, -1814, 0, 0, -2896, 0, 0, -2346, 0, 0, -96, 0, 0, 528, 0, 0, -144, 0, 0, 1192, 0, 0, -468, 0, 0, 3736, 0, 0, 488, 0, 0, -1186, 0, 0, -1200, 0, 0, 3340, 0, 0, -1120, 0, 0, 1768, 0, 0, 2560, 0, 0, 3020, 0, 0, 1336, 0, 0, 2612, 0, 0, 336, 0, 0, 4820, 0, 0, 32, 0, 0, 2500, 0, 0, 252, 0, 0, -328, 0, 0, 1104, 0, 0, -5268, 0, 0, -48, 0, 0, -4332, 0, 0, -2544, 0, 0, -102, 0, 0, 296, 0, 0, -3300, 0, 0, -3184, 0, 0, -3824, 0, 0, 64, 0, 0, -3228, 0, 0, -1368, 0, 0, 1960, 0, 0, 1752, 0, 0, -1478, 0, 0, -1760, 0, 0, -2560, 0, 0, -592, 0, 0, 1386, 0, 0, -4440, 0, 0, -776, 0, 0, 356, 0, 0, -2714, 0, 0, 216, 0, 0, -2112, 0, 0, 48, 0, 0, -4076, 0, 0, 192, 0, 0, 1242, 0, 0, 300, 0, 0, 768, 0, 0, 3760, 0, 0, 5798, 0, 0, 32, 0, 0, 5108, 0, 0, 1336, 0, 0, 872, 0, 0, -1368, 0, 0, 3328, 0, 0, -4792, 0, 0, 4396, 0, 0, 1184, 0, 0, -2878, 0, 0, -288, 0, 0, 1692, 0, 0, -704, 0, 0, 276, 0, 0, 1104, 0, 0, 1060, 0, 0, -416, 0, 0, 3556, 0, 0, 3768, 0, 0, -2900, 0, 0, -516, 0, 0, -358, 0, 0, -5376, 0, 0, 3134, 0, 0, 976, 0, 0, 8544, 0, 0, -1904, 0, 0, 1962, 0, 0, -1232, 0, 0, 1252, 0, 0, 1632, 0, 0, -1504, 0, 0, 64, 0, 0, 5020, 0, 0, 3712, 0, 0, -4096, 0, 0, 1336, 0, 0, 3748, 0, 0, 72, 0, 0, 1098, 0, 0, 4544, 0, 0, -7156, 0, 0, 4888, 0, 0, 6868, 0, 0, 764, 0, 0, -6638, 0, 0, 528, 0, 0, -2192, 0, 0, -296, 0, 0, 2266, 0, 0, 3696, 0, 0, 3804, 0, 0, -2464, 0, 0, -2536, 0, 0, -11760, 0, 0, -3170, 0, 0, 768, 0, 0, -5784, 0, 0, -5120, 0, 0, 7260, 0, 0, -28, 0, 0, -19740, 0, 0, -2720, 0, 0, -1846, 0, 0, -448, 0, 0, -1786, 0, 0, -264, 0, 0, -1224, 0, 0, -2336, 0, 0, 1562, 0, 0, -1008, 0, 0, -4300, 0, 0, 1520, 0, 0, 2074, 0, 0, 1784, 0, 0, 13884, 0, 0, 1312, 0, 0, 3302, 0, 0, 2704, 0, 0, 4384, 0, 0, -1768, 0, 0, 2462, 0, 0, 19776, 0, 0, 2536, 0, 0, -284, 0, 0, -6216, 0, 0, 6120, 0, 0, 4672, 0, 0, -224, 0, 0, 12936, 0, 0, 784, 0, 0, -1990, 0, 0, 1200, 0, 0, -5178, 0, 0, 464, 0, 0, -2622, 0, 0, -256, 0, 0, 2344, 0, 0, 3984, 0, 0, 14052, 0, 0, -3524, 0, 0, -5416, 0, 0, -1928, 0, 0, 1012, 0, 0, 864, 0, 0, -9278, 0, 0, -1824, 0, 0, -6176, 0, 0, -3184, 0, 0, -4844, 0, 0, -9200, 0, 0, 1890, 0, 0, -1984, 0, 0, -17108, 0, 0, 3800, 0, 0, -1606, 0, 0, 1192, 0, 0, -5064, 0, 0, 1048, 0, 0, 3516, 0, 0, -224, 0, 0, 1580, 0, 0, 5112, 0, 0, -14456, 0, 0, 3768, 0, 0, 1206, 0, 0, 472, 0, 0, -8736, 0, 0, -32, 0, 0, -8978, 0, 0, -4640, 0, 0, 2824, 0, 0, -2568, 0, 0, 8592, 0, 0, -1952, 0, 0, 1096, 0, 0, 2320, 0, 0, 3888, 0, 0, -4960, 0, 0, -7444, 0, 0, 1012, 0, 0, -8336, 0, 0, -8792, 0, 0, -8960, 0, 0, 152, 0, 0, -7656, 0, 0, 480, 0, 0, -4780, 0, 0, -3776, 0, 0, -1088, 0, 0, 2440, 0, 0, 6418, 0, 0, -5184], '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: 43622094
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 107, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 13512035883024762, 'source_is_minimal': True, 'source_label': '378.3.s.d.107.4', 'source_level': 378, 'target_conrey_index': 107, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13512035883024762, 'target_is_minimal': True, 'target_label': '378.3.s.d.107.4', 'target_level': 378, 'twist_class_label': '378.3.s.d.53.1', 'twist_class_level': 378, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 43622095
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 107, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 13512035883024762, 'source_is_minimal': True, 'source_label': '378.3.s.d.107.4', 'source_level': 378, 'target_conrey_index': 107, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13512035883024762, 'target_is_minimal': True, 'target_label': '378.3.s.d.107.1', 'target_level': 378, 'twist_class_label': '378.3.s.d.53.1', 'twist_class_level': 378, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 43622096
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 107, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 13512035883024762, 'source_is_minimal': True, 'source_label': '378.3.s.d.107.4', 'source_level': 378, 'target_conrey_index': 53, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13512035883024762, 'target_is_minimal': True, 'target_label': '378.3.s.d.53.1', 'target_level': 378, 'twist_class_label': '378.3.s.d.53.1', 'twist_class_level': 378, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 3}
  • id: 43622097
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 107, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 13512035883024762, 'source_is_minimal': True, 'source_label': '378.3.s.d.107.4', 'source_level': 378, 'target_conrey_index': 53, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13512035883024762, 'target_is_minimal': True, 'target_label': '378.3.s.d.53.4', 'target_level': 378, 'twist_class_label': '378.3.s.d.53.1', 'twist_class_level': 378, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 799200
    {'charpoly_factorization': [[[4, 0, -2, 0, 1], 2]], 'hecke_orbit_code': 13512035883024762, 'p': 2}
  • id: 799201
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 13512035883024762, 'p': 3}
  • id: 799202
    {'charpoly_factorization': [[[104976, 0, -12312, 0, 1120, 0, -38, 0, 1], 1]], 'hecke_orbit_code': 13512035883024762, 'p': 5}
  • id: 799203
    {'charpoly_factorization': [[[2401, 588, 97, 12, 1], 2]], 'hecke_orbit_code': 13512035883024762, 'p': 7}
  • id: 799204
    {'charpoly_factorization': [[[331776, 0, -142848, 0, 60928, 0, -248, 0, 1], 1]], 'hecke_orbit_code': 13512035883024762, 'p': 11}
  • id: 799205
    {'charpoly_factorization': [[[12, -14, 1], 4]], 'hecke_orbit_code': 13512035883024762, 'p': 13}
  • id: 799206
    {'charpoly_factorization': [[[36804120336, 0, -186856056, 0, 756832, 0, -974, 0, 1], 1]], 'hecke_orbit_code': 13512035883024762, 'p': 17}
  • id: 799207
    {'charpoly_factorization': [[[169, -13, 1], 4]], 'hecke_orbit_code': 13512035883024762, 'p': 19}
  • id: 799208
    {'charpoly_factorization': [[[3662186256, 0, -34252056, 0, 259840, 0, -566, 0, 1], 1]], 'hecke_orbit_code': 13512035883024762, 'p': 23}
  • id: 799209
    {'charpoly_factorization': [[[101124, 0, 1214, 0, 1], 2]], 'hecke_orbit_code': 13512035883024762, 'p': 29}
  • id: 799210
    {'charpoly_factorization': [[[294849, -7602, 739, 14, 1], 2]], 'hecke_orbit_code': 13512035883024762, 'p': 31}
  • id: 799211
    {'charpoly_factorization': [[[8976016, 5992, 3000, -2, 1], 2]], 'hecke_orbit_code': 13512035883024762, 'p': 37}
  • id: 799212
    {'charpoly_factorization': [[[15876, 0, 414, 0, 1], 2]], 'hecke_orbit_code': 13512035883024762, 'p': 41}
  • id: 799213
    {'charpoly_factorization': [[[-2513, 44, 1], 4]], 'hecke_orbit_code': 13512035883024762, 'p': 43}
  • id: 799214
    {'charpoly_factorization': [[[2667616624656, 0, -5615230392, 0, 10186560, 0, -3438, 0, 1], 1]], 'hecke_orbit_code': 13512035883024762, 'p': 47}
  • id: 799215
    {'charpoly_factorization': [[[208074970438416, 0, -130602175416, 0, 67550112, 0, -9054, 0, 1], 1]], 'hecke_orbit_code': 13512035883024762, 'p': 53}
  • id: 799216
    {'charpoly_factorization': [[[240005038473216, 0, -140296421376, 0, 66519040, 0, -9056, 0, 1], 1]], 'hecke_orbit_code': 13512035883024762, 'p': 59}
  • id: 799217
    {'charpoly_factorization': [[[136161, 28044, 6145, -76, 1], 2]], 'hecke_orbit_code': 13512035883024762, 'p': 61}
  • id: 799218
    {'charpoly_factorization': [[[44944, -19080, 7888, -90, 1], 2]], 'hecke_orbit_code': 13512035883024762, 'p': 67}
  • id: 799219
    {'charpoly_factorization': [[[70157376, 0, 17048, 0, 1], 2]], 'hecke_orbit_code': 13512035883024762, 'p': 71}
  • id: 799220
    {'charpoly_factorization': [[[18653761, 570108, 13105, 132, 1], 2]], 'hecke_orbit_code': 13512035883024762, 'p': 73}
  • id: 799221
    {'charpoly_factorization': [[[81216144, -1766352, 29404, -196, 1], 2]], 'hecke_orbit_code': 13512035883024762, 'p': 79}
  • id: 799222
    {'charpoly_factorization': [[[204604416, 0, 33344, 0, 1], 2]], 'hecke_orbit_code': 13512035883024762, 'p': 83}
  • id: 799223
    {'charpoly_factorization': [[[2212024450522896, 0, -889754478552, 0, 310858560, 0, -18918, 0, 1], 1]], 'hecke_orbit_code': 13512035883024762, 'p': 89}
  • id: 799224
    {'charpoly_factorization': [[[-1, -12, 1], 4]], 'hecke_orbit_code': 13512035883024762, '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': 19, 'hecke_orbit': 4, 'label': '378.3.s.d', 'level': 378, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 145318000
    {'hecke_orbit_code': 13512035883024762, 'n': 1, 'trace_an': 8}
  • id: 145318001
    {'hecke_orbit_code': 13512035883024762, 'n': 2, 'trace_an': 0}
  • id: 145318002
    {'hecke_orbit_code': 13512035883024762, 'n': 3, 'trace_an': 0}
  • id: 145318003
    {'hecke_orbit_code': 13512035883024762, 'n': 4, 'trace_an': 8}
  • id: 145318004
    {'hecke_orbit_code': 13512035883024762, 'n': 5, 'trace_an': 0}
  • id: 145318005
    {'hecke_orbit_code': 13512035883024762, 'n': 6, 'trace_an': 0}
  • id: 145318006
    {'hecke_orbit_code': 13512035883024762, 'n': 7, 'trace_an': -24}
  • id: 145318007
    {'hecke_orbit_code': 13512035883024762, 'n': 8, 'trace_an': 0}
  • id: 145318008
    {'hecke_orbit_code': 13512035883024762, 'n': 9, 'trace_an': 0}
  • id: 145318009
    {'hecke_orbit_code': 13512035883024762, 'n': 10, 'trace_an': 4}
  • id: 145318010
    {'hecke_orbit_code': 13512035883024762, 'n': 11, 'trace_an': 0}
  • id: 145318011
    {'hecke_orbit_code': 13512035883024762, 'n': 12, 'trace_an': 0}
  • id: 145318012
    {'hecke_orbit_code': 13512035883024762, 'n': 13, 'trace_an': 56}
  • id: 145318013
    {'hecke_orbit_code': 13512035883024762, 'n': 14, 'trace_an': 0}
  • id: 145318014
    {'hecke_orbit_code': 13512035883024762, 'n': 15, 'trace_an': 0}
  • id: 145318015
    {'hecke_orbit_code': 13512035883024762, 'n': 16, 'trace_an': -16}
  • id: 145318016
    {'hecke_orbit_code': 13512035883024762, 'n': 17, 'trace_an': 0}
  • id: 145318017
    {'hecke_orbit_code': 13512035883024762, 'n': 18, 'trace_an': 0}
  • id: 145318018
    {'hecke_orbit_code': 13512035883024762, 'n': 19, 'trace_an': 52}
  • id: 145318019
    {'hecke_orbit_code': 13512035883024762, 'n': 20, 'trace_an': 0}
  • id: 145318020
    {'hecke_orbit_code': 13512035883024762, 'n': 21, 'trace_an': 0}
  • id: 145318021
    {'hecke_orbit_code': 13512035883024762, 'n': 22, 'trace_an': 80}
  • id: 145318022
    {'hecke_orbit_code': 13512035883024762, 'n': 23, 'trace_an': 0}
  • id: 145318023
    {'hecke_orbit_code': 13512035883024762, 'n': 24, 'trace_an': 0}
  • id: 145318024
    {'hecke_orbit_code': 13512035883024762, 'n': 25, 'trace_an': -24}
  • id: 145318025
    {'hecke_orbit_code': 13512035883024762, 'n': 26, 'trace_an': 0}
  • id: 145318026
    {'hecke_orbit_code': 13512035883024762, 'n': 27, 'trace_an': 0}
  • id: 145318027
    {'hecke_orbit_code': 13512035883024762, 'n': 28, 'trace_an': -48}
  • id: 145318028
    {'hecke_orbit_code': 13512035883024762, 'n': 29, 'trace_an': 0}
  • id: 145318029
    {'hecke_orbit_code': 13512035883024762, 'n': 30, 'trace_an': 0}
  • id: 145318030
    {'hecke_orbit_code': 13512035883024762, 'n': 31, 'trace_an': -28}
  • id: 145318031
    {'hecke_orbit_code': 13512035883024762, 'n': 32, 'trace_an': 0}
  • id: 145318032
    {'hecke_orbit_code': 13512035883024762, 'n': 33, 'trace_an': 0}
  • id: 145318033
    {'hecke_orbit_code': 13512035883024762, 'n': 34, 'trace_an': 56}
  • id: 145318034
    {'hecke_orbit_code': 13512035883024762, 'n': 35, 'trace_an': 0}
  • id: 145318035
    {'hecke_orbit_code': 13512035883024762, 'n': 36, 'trace_an': 0}
  • id: 145318036
    {'hecke_orbit_code': 13512035883024762, 'n': 37, 'trace_an': 4}
  • id: 145318037
    {'hecke_orbit_code': 13512035883024762, 'n': 38, 'trace_an': 0}
  • id: 145318038
    {'hecke_orbit_code': 13512035883024762, 'n': 39, 'trace_an': 0}
  • id: 145318039
    {'hecke_orbit_code': 13512035883024762, 'n': 40, 'trace_an': -8}
  • id: 145318040
    {'hecke_orbit_code': 13512035883024762, 'n': 41, 'trace_an': 0}
  • id: 145318041
    {'hecke_orbit_code': 13512035883024762, 'n': 42, 'trace_an': 0}
  • id: 145318042
    {'hecke_orbit_code': 13512035883024762, 'n': 43, 'trace_an': -176}
  • id: 145318043
    {'hecke_orbit_code': 13512035883024762, 'n': 44, 'trace_an': 0}
  • id: 145318044
    {'hecke_orbit_code': 13512035883024762, 'n': 45, 'trace_an': 0}
  • id: 145318045
    {'hecke_orbit_code': 13512035883024762, 'n': 46, 'trace_an': 92}
  • id: 145318046
    {'hecke_orbit_code': 13512035883024762, 'n': 47, 'trace_an': 0}
  • id: 145318047
    {'hecke_orbit_code': 13512035883024762, 'n': 48, 'trace_an': 0}
  • id: 145318048
    {'hecke_orbit_code': 13512035883024762, 'n': 49, 'trace_an': -100}
  • id: 145318049
    {'hecke_orbit_code': 13512035883024762, 'n': 50, 'trace_an': 0}
  • id: 145318050
    {'hecke_orbit_code': 13512035883024762, 'n': 51, 'trace_an': 0}
  • id: 145318051
    {'hecke_orbit_code': 13512035883024762, 'n': 52, 'trace_an': 56}
  • id: 145318052
    {'hecke_orbit_code': 13512035883024762, 'n': 53, 'trace_an': 0}
  • id: 145318053
    {'hecke_orbit_code': 13512035883024762, 'n': 54, 'trace_an': 0}
  • id: 145318054
    {'hecke_orbit_code': 13512035883024762, 'n': 55, 'trace_an': -256}
  • id: 145318055
    {'hecke_orbit_code': 13512035883024762, 'n': 56, 'trace_an': 0}
  • id: 145318056
    {'hecke_orbit_code': 13512035883024762, 'n': 57, 'trace_an': 0}
  • id: 145318057
    {'hecke_orbit_code': 13512035883024762, 'n': 58, 'trace_an': -68}
  • id: 145318058
    {'hecke_orbit_code': 13512035883024762, 'n': 59, 'trace_an': 0}
  • id: 145318059
    {'hecke_orbit_code': 13512035883024762, 'n': 60, 'trace_an': 0}
  • id: 145318060
    {'hecke_orbit_code': 13512035883024762, 'n': 61, 'trace_an': 152}
  • id: 145318061
    {'hecke_orbit_code': 13512035883024762, 'n': 62, 'trace_an': 0}
  • id: 145318062
    {'hecke_orbit_code': 13512035883024762, 'n': 63, 'trace_an': 0}
  • id: 145318063
    {'hecke_orbit_code': 13512035883024762, 'n': 64, 'trace_an': -64}
  • id: 145318064
    {'hecke_orbit_code': 13512035883024762, 'n': 65, 'trace_an': 0}
  • id: 145318065
    {'hecke_orbit_code': 13512035883024762, 'n': 66, 'trace_an': 0}
  • id: 145318066
    {'hecke_orbit_code': 13512035883024762, 'n': 67, 'trace_an': 180}
  • id: 145318067
    {'hecke_orbit_code': 13512035883024762, 'n': 68, 'trace_an': 0}
  • id: 145318068
    {'hecke_orbit_code': 13512035883024762, 'n': 69, 'trace_an': 0}
  • id: 145318069
    {'hecke_orbit_code': 13512035883024762, 'n': 70, 'trace_an': -172}
  • id: 145318070
    {'hecke_orbit_code': 13512035883024762, 'n': 71, 'trace_an': 0}
  • id: 145318071
    {'hecke_orbit_code': 13512035883024762, 'n': 72, 'trace_an': 0}
  • id: 145318072
    {'hecke_orbit_code': 13512035883024762, 'n': 73, 'trace_an': -264}
  • id: 145318073
    {'hecke_orbit_code': 13512035883024762, 'n': 74, 'trace_an': 0}
  • id: 145318074
    {'hecke_orbit_code': 13512035883024762, 'n': 75, 'trace_an': 0}
  • id: 145318075
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  • id: 145318076
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  • id: 145318077
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  • id: 145318078
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  • id: 145318079
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  • id: 145318080
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  • id: 145318081
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  • id: 145318082
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  • id: 145318083
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  • id: 145318084
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  • id: 145318085
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  • id: 145318086
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  • id: 145318087
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  • id: 145318088
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  • id: 145318089
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  • id: 145318090
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  • id: 145318091
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  • id: 145318092
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  • id: 145318093
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  • id: 145318094
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  • id: 145318095
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  • id: 145318096
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  • id: 145318097
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  • id: 145318098
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  • id: 145318099
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  • id: 145318100
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  • id: 145318101
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  • id: 145318102
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  • id: 145318103
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  • id: 145318104
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  • id: 145318105
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  • id: 145318106
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  • id: 145318107
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  • id: 145318108
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  • id: 145318109
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  • id: 145318110
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  • id: 145318111
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  • id: 145318112
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  • id: 145318113
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  • id: 145318114
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  • id: 145318115
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  • id: 145318116
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  • id: 145318117
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  • id: 145318118
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  • id: 145318119
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  • id: 145318120
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  • id: 145318121
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  • id: 145318122
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  • id: 145318123
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  • id: 145318124
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  • id: 145318125
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  • id: 145318126
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  • id: 145318127
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  • id: 145318128
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  • id: 145318129
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  • id: 145318130
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  • id: 145318131
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  • id: 145318132
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  • id: 145318133
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  • id: 145318135
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  • id: 145318136
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  • id: 145318137
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  • id: 145318138
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  • id: 145318139
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  • id: 145318140
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  • id: 145318141
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  • id: 145318142
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  • id: 145318143
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  • id: 145318144
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  • id: 145318145
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  • id: 145318146
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  • id: 145318147
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  • id: 145318148
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  • id: 145318149
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  • id: 145318150
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  • id: 145318151
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  • id: 145318152
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  • id: 145318153
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  • id: 145318154
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  • id: 145318155
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  • id: 145318156
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  • id: 145318157
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  • id: 145318158
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  • id: 145318159
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  • id: 145318160
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  • id: 145318161
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  • id: 145318162
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  • id: 145318163
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  • id: 145318164
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  • id: 145318165
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  • id: 145318166
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  • id: 145318167
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  • id: 145318168
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  • id: 145318169
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  • id: 145318170
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  • id: 145318171
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  • id: 145318172
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  • id: 145318173
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  • id: 145318174
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  • id: 145318175
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  • id: 145318176
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  • id: 145318177
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  • id: 145318178
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  • id: 145318179
    {'hecke_orbit_code': 13512035883024762, 'n': 180, 'trace_an': 0}
  • id: 145318180
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  • id: 145318181
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  • id: 145318182
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  • id: 145318183
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  • id: 145318184
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  • id: 145318185
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  • id: 145318186
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  • id: 145318187
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  • id: 145318188
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  • id: 145318189
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  • id: 145318190
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  • id: 145318191
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  • id: 145318192
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  • id: 145318193
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  • id: 145318194
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  • id: 145318195
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  • id: 145318196
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  • id: 145318197
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  • id: 145318198
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  • id: 145318199
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  • id: 145318200
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  • id: 145318201
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  • id: 145318202
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  • id: 145318203
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  • id: 145318204
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  • id: 145318205
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  • id: 145318206
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  • id: 145318207
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  • id: 145318208
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  • id: 145318209
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  • id: 145318210
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  • id: 145318211
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  • id: 145318212
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  • id: 145318213
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  • id: 145318214
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  • id: 145318215
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  • id: 145318216
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  • id: 145318217
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  • id: 145318218
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  • id: 145318219
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  • id: 145318220
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  • id: 145318221
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  • id: 145318222
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  • id: 145318223
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  • id: 145318224
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  • id: 145318225
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  • id: 145318226
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  • id: 145318227
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  • id: 145318228
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  • id: 145318229
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  • id: 145318230
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  • id: 145318231
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  • id: 145318232
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  • id: 145318233
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  • id: 145318234
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  • id: 145318235
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  • id: 145318236
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  • id: 145318237
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  • id: 145318238
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  • id: 145318239
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  • id: 145318240
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  • id: 145318241
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  • id: 145318242
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  • id: 145318243
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  • id: 145318244
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  • id: 145318245
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  • id: 145318246
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  • id: 145318247
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  • id: 145318248
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  • id: 145318249
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  • id: 145318250
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  • id: 145318251
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  • id: 145318252
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  • id: 145318253
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  • id: 145318254
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  • id: 145318255
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  • id: 145318256
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  • id: 145318257
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  • id: 145318258
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  • id: 145318259
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  • id: 145318260
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  • id: 145318261
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  • id: 145318262
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  • id: 145318263
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  • id: 145318264
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  • id: 145318265
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  • id: 145318266
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  • id: 145318267
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  • id: 145318268
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  • id: 145318269
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  • id: 145318270
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  • id: 145318271
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  • id: 145318665
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  • id: 145318684
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  • id: 145318712
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  • id: 145318716
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  • id: 145318720
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  • id: 145318722
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  • id: 145318726
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  • id: 145318728
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  • id: 145318729
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  • id: 145318730
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  • id: 145318731
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  • id: 145318732
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  • id: 145318736
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  • id: 145318738
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  • id: 145318740
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  • id: 145318744
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  • id: 145318762
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  • id: 145318764
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  • id: 145318765
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  • id: 145318767
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  • id: 145318768
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  • id: 145318769
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  • id: 145318770
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  • id: 145318771
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  • id: 145318772
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  • id: 145318773
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  • id: 145318775
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  • id: 145318776
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  • id: 145318778
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  • id: 145318780
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  • id: 145318786
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  • id: 145318788
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  • id: 145318789
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  • id: 145318795
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  • id: 145318812
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  • id: 145318813
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  • id: 145318814
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  • id: 145318815
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  • id: 145318816
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  • id: 145318817
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  • id: 145318818
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  • id: 145318819
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  • id: 145318820
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  • id: 145318821
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  • id: 145318822
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  • id: 145318823
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  • id: 145318824
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  • id: 145318827
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  • id: 145318828
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  • id: 145318830
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  • id: 145318831
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  • id: 145318839
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  • id: 145318844
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  • id: 145318858
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  • id: 145318867
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  • id: 145318870
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  • id: 145318900
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  • id: 145318904
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  • id: 145318906
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  • id: 145318910
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  • id: 145318911
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  • id: 145318912
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  • id: 145318915
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  • id: 145318916
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  • id: 145318921
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  • id: 145318922
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  • id: 145318923
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  • id: 145318924
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  • id: 145318925
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  • id: 145318926
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  • id: 145318927
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  • id: 145318928
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  • id: 145318929
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  • id: 145318930
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  • id: 145318933
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  • id: 145318936
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  • id: 145318939
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  • id: 145318942
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  • id: 145318943
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  • id: 145318944
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  • id: 145318945
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  • id: 145318948
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  • id: 145318954
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  • id: 145318956
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  • id: 145318960
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  • id: 145318961
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  • id: 145318962
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  • id: 145318963
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  • id: 145318964
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  • id: 145318965
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  • id: 145318966
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  • id: 145318969
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  • id: 145318970
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  • id: 145318971
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  • id: 145318972
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  • id: 145318975
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  • id: 145318977
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  • id: 145318978
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  • id: 145318980
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  • id: 145318981
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  • id: 145318983
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  • id: 145318984
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  • id: 145318986
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