Embedded newform data - 768.3.l.e.319.1

Formats: - HTML - YAML - JSON - 2024-05-06T03:54:18.968580

• 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': 6912, 'analytic_conductor': 20.9264843028708, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 16, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 12, 'char_orbit_label': 'l', 'char_order': 4, 'char_parity': -1, 'char_values': [768, 4, [511, 517, 257], [2, 1, 4]], 'cm_discs': [], 'conrey_index': 319, 'conrey_indexes': [319, 703], 'dim': 16, 'field_disc': 1095479029580573612269633536, 'field_disc_factorization': [[2, 32], [3, 8], [11, 4], [227, 4]], 'field_poly': [429981696, 0, -155271168, 0, 36142848, 0, -5039424, 0, 513409, 0, -34996, 0, 1743, 0, -52, 0, 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, [5308416, -442368, 18432, 9984, 5392, -208, 8, 4, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18015154474058496, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 16777216, 'hecke_ring_index_factorization': [[2, 24]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 16, 5, 1, 4, 0], [1, 1, 4, 2, -1, 2, 0], [1, 1, 16, 6, -1, 4, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '768.3.l.e', 'level': 768, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '768.3.l.e', 'prim_orbit_index': 6, 'qexp_display': 'q+\\beta _{8}q^{3}+(-1+\\beta _{10})q^{5}+(-2\\beta _{7}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '2.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '768.3.l', 'trace_display': [0, 0, -8, 0], 'trace_hash': 1335644392695498926, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.034', 'prec': 17}, {'__RealLiteral__': 0, 'data': '13.910', 'prec': 20}, {'__RealLiteral__': 0, 'data': '28.667', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1606.224', 'prec': 27}, {'__RealLiteral__': 0, 'data': '10791.184', 'prec': 30}, {'__RealLiteral__': 0, 'data': '319810.223', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.627', 'prec': 17}, 'traces': [16, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 112, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, -48, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 304, 0, 0, 0, -504, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 624, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 848, 0, 0, 0, -144, 0, 0, 0, -880, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, -160, 0, 0, 0, -488, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 1056, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 912, 0, 0, 0, -624, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -864, 0, 0, 0, -1312, 0, 0, 0, 792, 0, 0, 0, 0, 0, 0, 0, -944, 0, 0, 0, 1440, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 1664, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, -960, 0, 0, 0, 2712, 0, 0, 0, 0, 0, 0, 0, -784, 0, 0, 0, -224, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, -1296, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, -800, 0, 0, 0, 2296, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 448, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -2352, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, -2160, 0, 0, 0, -2192, 0, 0, 0, -488, 0, 0, 0, 0, 0, 0, 0, -1952, 0, 0, 0, 240, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 1704, 0, 0, 0, 1728, 0, 0, 0, 2656, 0, 0, 0, 0, 0, 0, 0, 816, 0, 0, 0, 352, 0, 0, 0, -1200, 0, 0, 0, 0, 0, 0, 0, -1424, 0, 0, 0, -448, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 2080, 0, 0, 0, -1104, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 840, 0, 0, 0, 512, 0, 0, 0, 632, 0, 0, 0, 0, 0, 0, 0, 2736, 0, 0, 0, 3536, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, -1248, 0, 0, 0, -3296, 0, 0, 0, 0, 0, 0, 0, -2544, 0, 0, 0, 320, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 1136, 0, 0, 0, -2320, 0, 0, 0, 648, 0, 0, 0, 0, 0, 0, 0, -3768, 0, 0, 0, 5328, 0, 0, 0, -2432, 0, 0, 0, 0, 0, 0, 0, 1512, 0, 0, 0, 6208, 0, 0, 0, -5408, 0, 0, 0, 0, 0, 0, 0, 1648, 0, 0, 0, -256, 0, 0, 0, -1296, 0, 0, 0, 0, 0, 0, 0, 1704, 0, 0, 0, -720, 0, 0, 0, -1056, 0, 0, 0, 0, 0, 0, 0, 4248, 0, 0, 0, -400, 0, 0, 0, -3504, 0, 0, 0, 0, 0, 0, 0, -2208, 0, 0, 0, 336, 0, 0, 0, 528, 0, 0, 0, 0, 0, 0, 0, 2248, 0, 0, 0, -480, 0, 0, 0, -5616, 0, 0, 0, 0, 0, 0, 0, -528, 0, 0, 0, 352, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 3328, 0, 0, 0, -96, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -1656, 0, 0, 0, 5904, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 864, 0, 0, 0, 2352, 0, 0, 0, 1264, 0, 0, 0, 0, 0, 0, 0, 9152, 0, 0, 0, 2000, 0, 0, 0, -2640, 0, 0, 0, 0, 0, 0, 0, -4024, 0, 0, 0, -2208, 0, 0, 0, 624, 0, 0, 0, 0, 0, 0, 0, 1560, 0, 0, 0, -1920, 0, 0, 0, -3480, 0, 0, 0, 0, 0, 0, 0, -4784, 0, 0, 0, -11184, 0, 0, 0, 2544, 0, 0, 0, 0, 0, 0, 0, -8808, 0, 0, 0, 1440, 0, 0, 0, -3008, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 9664, 0, 0, 0, -1432, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -7232, 0, 0, 0, 3216, 0, 0, 0, 0, 0, 0, 0, 608, 0, 0, 0, 4944, 0, 0, 0, 9312, 0, 0, 0, 0, 0, 0, 0, 2640, 0, 0, 0, -4544, 0, 0, 0, 4920, 0, 0, 0, 0, 0, 0, 0, -1568, 0, 0, 0, -6192, 0, 0, 0, -768, 0, 0, 0, 0, 0, 0, 0, 2440, 0, 0, 0, -2112, 0, 0, 0, 9888, 0, 0, 0, 0, 0, 0, 0, -408, 0, 0, 0, -7104, 0, 0, 0, -2600, 0, 0, 0, 0, 0, 0, 0, -1760, 0, 0, 0, -2768, 0, 0, 0, -648, 0, 0, 0, 0, 0, 0, 0, -4936, 0, 0, 0, 576, 0, 0, 0, 6544, 0, 0, 0, 0, 0, 0, 0, -2976, 0, 0, 0, 12544, 0, 0, 0, 1520, 0, 0, 0, 0, 0, 0, 0, 3952, 0, 0, 0, 4992, 0, 0, 0, 3648, 0, 0, 0, 0, 0, 0, 0, -5280, 0, 0, 0, 1152, 0, 0, 0, -1776, 0, 0, 0, 0, 0, 0, 0, 1464, 0, 0, 0, -4800, 0, 0, 0, 8640, 0, 0, 0, 0, 0, 0, 0, -3792, 0, 0, 0, -10224, 0, 0, 0, 4896, 0, 0, 0, 0, 0, 0, 0, -5880, 0, 0, 0, -144, 0, 0, 0, 2208, 0, 0, 0, 0, 0, 0, 0, 4032, 0, 0, 0, 1872, 0, 0, 0, 10832, 0, 0, 0, 0, 0, 0, 0, -1024, 0, 0, 0, -7760, 0, 0, 0, -672, 0, 0, 0, 0, 0, 0, 0, 6624, 0, 0, 0, -2592, 0, 0, 0, 5360, 0, 0, 0], 'weight': 3, 'weight_parity': -1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-0.408248290463863, -0.408248290463863], [0.0, 0.0], [-1.2903781319882786, -1.2903781319882786], [0.0, 0.0], [1.2493448417534863, 0.0], [0.0, 0.0], [0.0, 0.3333333333333333], [0.0, 0.0], [0.8294864794761287, -0.8294864794761287], [0.0, 0.0], [0.7067087217764575, -0.7067087217764575], [0.0, 0.0], [0.0, 1.0535893328723354], [0.0, 0.0], [1.1119871364636933, 0.0], [0.0, 0.0], [0.14729034290753246, 0.14729034290753246], [0.0, 0.0], [-0.5100428958457063, -0.5100428958457063], [0.0, 0.0], [-0.09885323007730748, 0.0], [0.0, 0.0], [0.0, 2.3301514470271183], [0.0, 0.0], [0.13608276348795434, -0.13608276348795434], [0.0, 0.0], [0.37539639637837063, -0.37539639637837063], [0.0, 0.0], [0.0, -1.642223471403329], [0.0, 0.0], [-0.6772728744180355, 0.0], [0.0, 0.0], [-1.612127263111055, -1.612127263111055], [0.0, 0.0], [1.2757077659244787, 1.2757077659244787], [0.0, 0.0], [-0.5770252550422812, 0.0], [0.0, 0.0], [0.0, -0.6732631958895885], [0.0, 0.0], [-0.8351788756855458, 0.8351788756855458], [0.0, 0.0], [0.43012604399609283, -0.43012604399609283], [0.0, 0.0], [0.0, -1.2991782578420075], [0.0, 0.0], [0.5608625336160437, 0.0], [0.0, 0.0], [-0.45396684747910915, -0.45396684747910915], [0.0, 0.0], [-1.0146970295622173, -1.0146970295622173], [0.0, 0.0], [-2.140702427791881, 0.0], [0.0, 0.0], [0.0, -0.12026206138767258], [0.0, 0.0], [-0.3488499671060856, 0.3488499671060856], [0.0, 0.0], [0.20809204898114417, -0.20809204898114417], [0.0, 0.0], [0.0, 0.4164482805844954], [0.0, 0.0], [-1.8238429605314586, 0.0], [0.0, 0.0], [-0.6526840312432871, -0.6526840312432871], [0.0, 0.0], [0.040356662185891706, 0.040356662185891706], [0.0, 0.0], [-0.28904685690497045, 0.0], [0.0, 0.0], [0.0, 1.477202859819763], [0.0, 0.0], [0.9512803447707177, -0.9512803447707177], [0.0, 0.0], [1.0363146544377604, -1.0363146544377604], [0.0, 0.0], [0.0, -0.6320027691185571], [0.0, 0.0], [-0.1111111111111111, 0.0], [0.0, 0.0], [-0.1808380828529807, -0.1808380828529807], [0.0, 0.0], [-1.4348838839450155, -1.4348838839450155], [0.0, 0.0], [-0.30650987413552905, 0.0], [0.0, 0.0], [0.0, 0.6974061044903387], [0.0, 0.0], [0.8829228961736169, -0.8829228961736169], [0.0, 0.0], [-0.6704349247600397, 0.6704349247600397], [0.0, 0.0], [0.0, -0.3801204750818694], [0.0, 0.0], [-0.23455455108539333, 0.0], [0.0, 0.0], [0.2764954931587096, 0.2764954931587096], [0.0, 0.0], [-0.7286914797487238, -0.7286914797487238], [0.0, 0.0], [0.7578598367145526, 0.0], [0.0, 0.0], [0.0, 1.3162963983505491], [0.0, 0.0], [-0.6617642079017538, 0.6617642079017538], [0.0, 0.0], [-0.4486240945339081, 0.4486240945339081], [0.0, 0.0], [0.0, -1.0416110291402847], [0.0, 0.0], [1.5586079436361686, 0.0], [0.0, 0.0], [0.12755804636816354, 0.12755804636816354], [0.0, 0.0], [0.23556957392548583, 0.23556957392548583], [0.0, 0.0], [1.3892553930371452, 0.0], [0.0, 0.0], [0.0, -0.37609563926740425], [0.0, 0.0], [-0.27485854875416144, 0.27485854875416144], [0.0, 0.0], [1.7163983394763584, -1.7163983394763584], [0.0, 0.0], [0.0, 0.46266501074077643], [0.0, 0.0], [0.6819206964603105, 0.0], [0.0, 0.0], [0.9770344660526354, 0.9770344660526354], [0.0, 0.0], [0.18401643015162786, 0.18401643015162786], [0.0, 0.0], [-0.35119644429077845, 0.0], [0.0, 0.0], [0.0, -0.14275413305072268], [0.0, 0.0], [1.1986909375610897, -1.1986909375610897], [0.0, 0.0], [-0.5303873027718193, 0.5303873027718193], [0.0, 0.0], [0.0, -1.1724106592828574], [0.0, 0.0], [-0.9688066014277066, 0.0], [0.0, 0.0], [-0.22897117053398072, -0.22897117053398072], [0.0, 0.0], [0.3541658487634367, 0.3541658487634367], [0.0, 0.0], [-1.0489879896362542, 0.0], [0.0, 0.0], [0.0, 0.3706623788212311], [0.0, 0.0], [-2.1190892553367338, 2.1190892553367338], [0.0, 0.0], [0.15891564597935337, -0.15891564597935337], [0.0, 0.0], [0.0, 0.8284966553150702], [0.0, 0.0], [-0.12350177308775469, 0.0], [0.0, 0.0], [-1.2967990922404002, -1.2967990922404002], [0.0, 0.0], [0.8739381065378766, 0.8739381065378766], 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'angles': [None, None, -0.44209981256050035, -0.1426162554042827, -0.27524571860540875, -0.29171838942334677, -0.15616895391248053, -0.10839389816707481, -0.2578696965897932, -0.33224050972936997, -0.34667711639239424, 0.053973317309827795, -0.44535615235395604, -0.4755466763241597, -0.38747046912591604, -0.4976433616978285, -0.41466887226639093, -0.3514960759661194, -0.20134738834021895, -0.2730824526855169, 0.13225670762706, -0.44882978598322126, -0.14540730842864047, 0.05668891250447088, -0.26870831199041645, -0.21115281929971616, -0.18814606921972393, -0.45250146675919195, -0.426375543931073, -0.10778641160576184, 0.037154262781907386, -0.0036143503882877246, -0.4886303189082846, -0.21402263133148922, -0.08471349803976656, -0.3378727374381392, -0.3570778531246785, -0.4403115533396528, -0.263199840012308, 0.30839214701393114, -0.21900787610533848, -0.044030874628613575, -0.47601190986776926, -0.2994447671368249, -0.08461328308579324, -0.26374880141839013, 0.031825265425009706, 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• 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': 6912, 'analytic_conductor': 20.9264843028708, 'char_conductor': 16, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 12, 'char_orbit_label': 'l', 'char_order': 4, 'char_parity': -1, 'char_values': [768, 4, [511, 517, 257], [2, 1, 4]], 'conrey_index': 319, 'cusp_dim': 464, 'dim': 64, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 755964576512, 'hecke_orbit_dims': [8, 8, 8, 8, 16, 16], 'label': '768.3.l', 'level': 768, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 560, 'mf_new_dim': 64, 'num_forms': 6, 'prim_orbit_index': 6, 'relative_dim': 32, 'sturm_bound': 384, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1792, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1088, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -31488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3840, 0, 0, 0, 0, 0, 0, 0], 'weight': 3, 'weight_parity': -1}
• mf_twists_cc •

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

  
  
  • id: 44485353
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 319, 'source_dim': 16, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015154474058496, 'source_is_minimal': True, 'source_label': '768.3.l.e.319.1', 'source_level': 768, 'target_conrey_index': 319, 'target_dim': 16, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18015154474058496, 'target_is_minimal': True, 'target_label': '768.3.l.e.319.1', 'target_level': 768, 'twist_class_label': '768.3.l.e.319.1', 'twist_class_level': 768, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 44485354
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 319, 'source_dim': 16, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015154474058496, 'source_is_minimal': True, 'source_label': '768.3.l.e.319.1', 'source_level': 768, 'target_conrey_index': 319, 'target_dim': 16, 'target_embedding_index': 5, 'target_hecke_orbit_code': 18015154474058496, 'target_is_minimal': True, 'target_label': '768.3.l.e.319.5', 'target_level': 768, 'twist_class_label': '768.3.l.e.319.1', 'twist_class_level': 768, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 44485355
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 319, 'source_dim': 16, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015154474058496, 'source_is_minimal': True, 'source_label': '768.3.l.e.319.1', 'source_level': 768, 'target_conrey_index': 319, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 22518754101428992, 'target_is_minimal': True, 'target_label': '768.3.l.f.319.4', 'target_level': 768, 'twist_class_label': '768.3.l.e.319.1', 'twist_class_level': 768, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 44485356
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 319, 'source_dim': 16, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015154474058496, 'source_is_minimal': True, 'source_label': '768.3.l.e.319.1', 'source_level': 768, 'target_conrey_index': 319, 'target_dim': 16, 'target_embedding_index': 8, 'target_hecke_orbit_code': 22518754101428992, 'target_is_minimal': True, 'target_label': '768.3.l.f.319.8', 'target_level': 768, 'twist_class_label': '768.3.l.e.319.1', 'twist_class_level': 768, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 44485357
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 319, 'source_dim': 16, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015154474058496, 'source_is_minimal': True, 'source_label': '768.3.l.e.319.1', 'source_level': 768, 'target_conrey_index': 703, 'target_dim': 16, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18015154474058496, 'target_is_minimal': True, 'target_label': '768.3.l.e.703.1', 'target_level': 768, 'twist_class_label': '768.3.l.e.319.1', 'twist_class_level': 768, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 44485358
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 319, 'source_dim': 16, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015154474058496, 'source_is_minimal': True, 'source_label': '768.3.l.e.319.1', 'source_level': 768, 'target_conrey_index': 703, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 22518754101428992, 'target_is_minimal': True, 'target_label': '768.3.l.f.703.4', 'target_level': 768, 'twist_class_label': '768.3.l.e.319.1', 'twist_class_level': 768, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 44485359
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 319, 'source_dim': 16, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015154474058496, 'source_is_minimal': True, 'source_label': '768.3.l.e.319.1', 'source_level': 768, 'target_conrey_index': 703, 'target_dim': 16, 'target_embedding_index': 8, 'target_hecke_orbit_code': 22518754101428992, 'target_is_minimal': True, 'target_label': '768.3.l.f.703.8', 'target_level': 768, 'twist_class_label': '768.3.l.e.319.1', 'twist_class_level': 768, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 3}
  • id: 44485360
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 319, 'source_dim': 16, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18015154474058496, 'source_is_minimal': True, 'source_label': '768.3.l.e.319.1', 'source_level': 768, 'target_conrey_index': 703, 'target_dim': 16, 'target_embedding_index': 5, 'target_hecke_orbit_code': 18015154474058496, 'target_is_minimal': True, 'target_label': '768.3.l.e.703.5', 'target_level': 768, 'twist_class_label': '768.3.l.e.319.1', 'twist_class_level': 768, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1302425
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 18015154474058496, 'p': 2}
  • id: 1302426
    {'charpoly_factorization': [[[9, 0, 0, 0, 1], 4]], 'hecke_orbit_code': 18015154474058496, 'p': 3}
  • id: 1302427
    {'charpoly_factorization': [[[5308416, -442368, 18432, 9984, 5392, -208, 8, 4, 1], 2]], 'hecke_orbit_code': 18015154474058496, 'p': 5}
  • id: 1302428
    {'charpoly_factorization': [[[524176, 0, -421568, 0, 20376, 0, -272, 0, 1], 2]], 'hecke_orbit_code': 18015154474058496, 'p': 7}
  • id: 1302429
    {'charpoly_factorization': [[[7213895789838336, 0, 0, 0, 4250809663488, 0, 0, 0, 762843136, 0, 0, 0, 50048, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 18015154474058496, 'p': 11}
  • id: 1302430
    {'charpoly_factorization': [[[129686544, -90739584, 31744512, -3273792, 173320, -1760, 128, -16, 1], 2]], 'hecke_orbit_code': 18015154474058496, 'p': 13}
  • id: 1302431
    {'charpoly_factorization': [[[1872, 1488, 88, -28, 1], 4]], 'hecke_orbit_code': 18015154474058496, 'p': 17}
  • id: 1302432
    {'charpoly_factorization': [[[1366778124655722496, 0, 0, 0, 5622750915739648, 0, 0, 0, 211567977984, 0, 0, 0, 1172032, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 18015154474058496, 'p': 19}
  • id: 1302433
    {'charpoly_factorization': [[[5184, 0, -1008, 0, 1], 4]], 'hecke_orbit_code': 18015154474058496, 'p': 23}
  • id: 1302434
    {'charpoly_factorization': [[[109502751744, -30115639296, 4141228032, -256443264, 8038480, -14960, 392, -28, 1], 2]], 'hecke_orbit_code': 18015154474058496, 'p': 29}
  • id: 1302435
    {'charpoly_factorization': [[[36638553744, 0, 499710528, 0, 2219992, 0, 3376, 0, 1], 2]], 'hecke_orbit_code': 18015154474058496, 'p': 31}
  • id: 1302436
    {'charpoly_factorization': [[[97388397525136, 5955397226432, 182089227392, 2710798112, 24880936, 295024, 9248, 136, 1], 2]], 'hecke_orbit_code': 18015154474058496, 'p': 37}
  • id: 1302437
    {'charpoly_factorization': [[[132834007296, 0, 8617775616, 0, 16230496, 0, 7520, 0, 1], 2]], 'hecke_orbit_code': 18015154474058496, 'p': 41}
  • id: 1302438
    {'charpoly_factorization': [[[86003880721499342289043456, 0, 0, 0, 1621306625412064952320, 0, 0, 0, 452065754666496, 0, 0, 0, 38265664, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 18015154474058496, 'p': 43}
  • id: 1302439
    {'charpoly_factorization': [[[2742336, 0, 4464, 0, 1], 4]], 'hecke_orbit_code': 18015154474058496, 'p': 47}
  • id: 1302440
    {'charpoly_factorization': [[[85131180942336, 1062910771200, 6635520000, 1369878912, 87210576, 2204784, 31752, 252, 1], 2]], 'hecke_orbit_code': 18015154474058496, 'p': 53}
  • id: 1302441
    {'charpoly_factorization': [[[6921823732303336398913536, 0, 0, 0, 796606643873431683072, 0, 0, 0, 1170314717298688, 0, 0, 0, 103817216, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 18015154474058496, 'p': 59}
  • id: 1302442
    {'charpoly_factorization': [[[278622864, 286034112, 146821248, 2634144, -28760, -23120, 3872, -88, 1], 2]], 'hecke_orbit_code': 18015154474058496, 'p': 61}
  • id: 1302443
    {'charpoly_factorization': [[[28117596459142579263180374016, 0, 0, 0, 20173489154818031222784, 0, 0, 0, 3436469366947840, 0, 0, 0, 164258816, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 18015154474058496, 'p': 67}
  • id: 1302444
    {'charpoly_factorization': [[[15912308736, 0, -336531456, 0, 1691008, 0, -2752, 0, 1], 2]], 'hecke_orbit_code': 18015154474058496, 'p': 71}
  • id: 1302445
    {'charpoly_factorization': [[[5580782567424, 0, 443146665984, 0, 242583808, 0, 29216, 0, 1], 2]], 'hecke_orbit_code': 18015154474058496, 'p': 73}
  • id: 1302446
    {'charpoly_factorization': [[[137219389108624, 0, 217295988416, 0, 103584024, 0, 17936, 0, 1], 2]], 'hecke_orbit_code': 18015154474058496, 'p': 79}
  • id: 1302447
    {'charpoly_factorization': [[[4074443918442233856, 0, 0, 0, 47555054205942104064, 0, 0, 0, 288179800510464, 0, 0, 0, 265885056, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 18015154474058496, 'p': 83}
  • id: 1302448
    {'charpoly_factorization': [[[7013622986885376, 0, 4070616309504, 0, 762210784, 0, 50096, 0, 1], 2]], 'hecke_orbit_code': 18015154474058496, 'p': 89}
  • id: 1302449
    {'charpoly_factorization': [[[-26948352, -1674624, -21152, 40, 1], 4]], 'hecke_orbit_code': 18015154474058496, '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': 12, 'hecke_orbit': 5, 'label': '768.3.l.e', 'level': 768, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 160338000
    {'hecke_orbit_code': 18015154474058496, 'n': 1, 'trace_an': 16}
  • id: 160338001
    {'hecke_orbit_code': 18015154474058496, 'n': 2, 'trace_an': 0}
  • id: 160338002
    {'hecke_orbit_code': 18015154474058496, 'n': 3, 'trace_an': 0}
  • id: 160338003
    {'hecke_orbit_code': 18015154474058496, 'n': 4, 'trace_an': 0}
  • id: 160338004
    {'hecke_orbit_code': 18015154474058496, 'n': 5, 'trace_an': -8}
  • id: 160338005
    {'hecke_orbit_code': 18015154474058496, 'n': 6, 'trace_an': 0}
  • id: 160338006
    {'hecke_orbit_code': 18015154474058496, 'n': 7, 'trace_an': 0}
  • id: 160338007
    {'hecke_orbit_code': 18015154474058496, 'n': 8, 'trace_an': 0}
  • id: 160338008
    {'hecke_orbit_code': 18015154474058496, 'n': 9, 'trace_an': 0}
  • id: 160338009
    {'hecke_orbit_code': 18015154474058496, 'n': 10, 'trace_an': 0}
  • id: 160338010
    {'hecke_orbit_code': 18015154474058496, 'n': 11, 'trace_an': 0}
  • id: 160338011
    {'hecke_orbit_code': 18015154474058496, 'n': 12, 'trace_an': 0}
  • id: 160338012
    {'hecke_orbit_code': 18015154474058496, 'n': 13, 'trace_an': 32}
  • id: 160338013
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  • id: 160338014
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  • id: 160338015
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  • id: 160338016
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  • id: 160338017
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  • id: 160338018
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  • id: 160338019
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  • id: 160338020
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  • id: 160338021
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  • id: 160338022
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  • id: 160338023
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  • id: 160338024
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  • id: 160338025
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  • id: 160338026
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  • id: 160338027
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  • id: 160338028
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  • id: 160338029
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  • id: 160338030
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  • id: 160338031
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  • id: 160338032
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  • id: 160338033
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  • id: 160338034
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  • id: 160338035
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  • id: 160338036
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  • id: 160338037
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  • id: 160338038
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  • id: 160338039
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  • id: 160338040
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  • id: 160338041
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  • id: 160338042
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  • id: 160338043
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  • id: 160338044
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  • id: 160338045
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  • id: 160338046
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  • id: 160338047
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  • id: 160338048
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  • id: 160338049
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  • id: 160338050
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  • id: 160338051
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  • id: 160338052
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  • id: 160338053
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  • id: 160338054
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  • id: 160338055
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  • id: 160338056
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  • id: 160338057
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  • id: 160338058
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  • id: 160338059
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  • id: 160338060
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  • id: 160338061
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  • id: 160338062
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  • id: 160338063
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  • id: 160338064
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  • id: 160338065
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  • id: 160338066
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  • id: 160338067
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  • id: 160338068
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  • id: 160338069
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  • id: 160338070
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  • id: 160338071
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  • id: 160338072
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  • id: 160338073
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  • id: 160338074
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  • id: 160338075
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  • id: 160338076
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  • id: 160338077
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  • id: 160338078
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  • id: 160338079
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  • id: 160338080
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  • id: 160338081
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  • id: 160338082
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  • id: 160338083
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  • id: 160338084
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  • id: 160338085
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  • id: 160338086
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  • id: 160338087
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  • id: 160338088
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  • id: 160338089
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  • id: 160338090
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  • id: 160338091
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  • id: 160338092
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  • id: 160338093
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  • id: 160338094
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  • id: 160338095
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  • id: 160338096
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  • id: 160338097
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  • id: 160338098
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  • id: 160338099
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  • id: 160338100
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  • id: 160338101
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  • id: 160338102
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  • id: 160338103
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  • id: 160338104
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  • id: 160338105
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  • id: 160338106
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  • id: 160338107
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  • id: 160338108
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  • id: 160338109
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  • id: 160338110
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  • id: 160338111
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  • id: 160338112
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  • id: 160338113
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  • id: 160338114
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  • id: 160338115
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  • id: 160338116
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  • id: 160338117
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  • id: 160338118
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  • id: 160338119
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  • id: 160338120
    {'hecke_orbit_code': 18015154474058496, 'n': 121, 'trace_an': 0}
  • id: 160338121
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  • id: 160338122
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  • id: 160338123
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  • id: 160338124
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  • id: 160338125
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  • id: 160338126
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  • id: 160338127
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  • id: 160338128
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  • id: 160338129
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  • id: 160338130
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  • id: 160338131
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  • id: 160338132
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  • id: 160338133
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  • id: 160338134
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  • id: 160338135
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  • id: 160338136
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  • id: 160338137
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  • id: 160338138
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  • id: 160338139
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  • id: 160338140
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  • id: 160338141
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  • id: 160338142
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  • id: 160338143
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  • id: 160338144
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  • id: 160338145
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  • id: 160338146
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  • id: 160338147
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  • id: 160338148
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  • id: 160338149
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  • id: 160338150
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  • id: 160338151
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  • id: 160338152
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  • id: 160338153
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  • id: 160338154
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  • id: 160338155
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  • id: 160338156
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  • id: 160338157
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  • id: 160338158
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  • id: 160338159
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  • id: 160338160
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  • id: 160338161
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  • id: 160338162
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  • id: 160338163
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  • id: 160338164
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  • id: 160338165
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  • id: 160338166
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  • id: 160338167
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  • id: 160338168
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  • id: 160338169
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  • id: 160338170
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  • id: 160338171
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  • id: 160338172
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  • id: 160338173
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  • id: 160338174
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  • id: 160338175
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  • id: 160338176
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  • id: 160338177
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  • id: 160338178
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  • id: 160338179
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  • id: 160338180
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  • id: 160338181
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  • id: 160338182
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  • id: 160338183
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  • id: 160338184
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  • id: 160338185
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  • id: 160338186
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  • id: 160338187
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  • id: 160338188
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  • id: 160338189
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  • id: 160338190
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  • id: 160338191
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  • id: 160338192
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  • id: 160338193
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  • id: 160338194
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  • id: 160338195
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  • id: 160338196
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  • id: 160338197
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  • id: 160338198
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  • id: 160338199
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  • id: 160338200
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  • id: 160338201
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  • id: 160338202
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  • id: 160338203
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  • id: 160338204
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  • id: 160338205
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  • id: 160338206
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  • id: 160338207
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  • id: 160338208
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  • id: 160338209
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  • id: 160338210
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  • id: 160338211
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  • id: 160338212
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  • id: 160338416
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  • id: 160338419
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  • id: 160338420
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  • id: 160338421
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  • id: 160338422
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  • id: 160338423
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  • id: 160338425
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  • id: 160338426
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  • id: 160338427
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  • id: 160338428
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  • id: 160338429
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  • id: 160338430
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  • id: 160338431
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  • id: 160338432
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  • id: 160338433
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  • id: 160338434
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  • id: 160338435
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  • id: 160338436
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  • id: 160338437
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  • id: 160338447
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  • id: 160338448
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  • id: 160338463
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  • id: 160338464
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  • id: 160338465
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  • id: 160338480
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  • id: 160338490
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  • id: 160338494
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  • id: 160338495
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  • id: 160338496
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  • id: 160338509
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  • id: 160338510
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  • id: 160338511
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  • id: 160338512
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  • id: 160338513
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  • id: 160338514
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  • id: 160338515
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  • id: 160338516
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  • id: 160338517
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  • id: 160338518
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  • id: 160338519
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  • id: 160338520
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  • id: 160338521
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  • id: 160338522
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  • id: 160338523
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  • id: 160338524
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  • id: 160338525
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  • id: 160338526
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  • id: 160338527
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  • id: 160338528
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  • id: 160338529
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  • id: 160338530
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  • id: 160338531
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  • id: 160338532
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  • id: 160338533
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  • id: 160338534
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  • id: 160338535
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  • id: 160338536
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  • id: 160338537
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  • id: 160338538
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  • id: 160338539
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  • id: 160338540
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  • id: 160338541
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  • id: 160338542
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  • id: 160338543
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  • id: 160338544
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  • id: 160338545
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  • id: 160338546
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  • id: 160338547
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  • id: 160338548
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  • id: 160338549
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  • id: 160338550
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  • id: 160338551
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  • id: 160338552
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  • id: 160338553
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  • id: 160338554
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  • id: 160338555
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  • id: 160338556
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  • id: 160338557
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  • id: 160338558
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  • id: 160338559
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  • id: 160338560
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  • id: 160338561
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  • id: 160338562
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  • id: 160338563
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  • id: 160338564
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  • id: 160338565
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  • id: 160338566
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  • id: 160338567
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  • id: 160338568
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  • id: 160338569
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  • id: 160338570
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  • id: 160338571
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  • id: 160338572
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  • id: 160338573
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  • id: 160338577
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  • id: 160338610
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  • id: 160338612
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  • id: 160338613
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  • id: 160338718
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  • id: 160338719
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  • id: 160338721
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  • id: 160338722
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  • id: 160338811
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  • id: 160338812
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  • id: 160338813
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  • id: 160338814
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  • id: 160338815
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  • id: 160338816
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  • id: 160338817
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  • id: 160338818
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  • id: 160338819
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  • id: 160338820
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  • id: 160338821
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  • id: 160338822
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  • id: 160338823
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  • id: 160338824
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  • id: 160338825
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  • id: 160338826
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  • id: 160338827
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  • id: 160338828
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  • id: 160338829
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  • id: 160338830
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  • id: 160338831
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  • id: 160338832
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  • id: 160338833
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  • id: 160338834
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  • id: 160338835
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  • id: 160338836
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  • id: 160338837
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  • id: 160338838
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  • id: 160338839
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  • id: 160338841
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  • id: 160338842
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  • id: 160338848
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  • id: 160338849
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  • id: 160338851
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  • id: 160338852
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  • id: 160338853
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  • id: 160338854
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  • id: 160338856
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  • id: 160338859
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  • id: 160338862
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  • id: 160338863
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  • id: 160338864
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  • id: 160338865
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  • id: 160338868
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  • id: 160338869
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  • id: 160338870
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  • id: 160338871
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  • id: 160338872
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  • id: 160338876
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  • id: 160338877
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  • id: 160338878
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  • id: 160338879
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  • id: 160338880
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  • id: 160338881
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  • id: 160338882
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  • id: 160338883
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  • id: 160338884
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  • id: 160338885
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  • id: 160338886
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  • id: 160338887
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  • id: 160338888
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  • id: 160338889
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  • id: 160338890
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  • id: 160338891
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  • id: 160338892
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  • id: 160338893
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  • id: 160338894
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  • id: 160338895
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  • id: 160338896
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  • id: 160338897
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  • id: 160338898
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  • id: 160338899
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  • id: 160338900
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  • id: 160338901
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  • id: 160338902
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  • id: 160338903
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  • id: 160338904
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  • id: 160338905
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  • id: 160338906
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  • id: 160338907
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  • id: 160338908
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  • id: 160338909
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  • id: 160338910
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  • id: 160338911
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  • id: 160338912
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  • id: 160338913
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  • id: 160338914
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  • id: 160338915
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  • id: 160338916
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  • id: 160338917
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  • id: 160338918
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  • id: 160338919
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  • id: 160338920
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  • id: 160338921
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  • id: 160338922
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  • id: 160338923
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  • id: 160338924
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  • id: 160338925
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  • id: 160338926
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  • id: 160338927
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  • id: 160338928
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  • id: 160338929
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  • id: 160338930
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  • id: 160338931
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  • id: 160338932
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  • id: 160338933
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  • id: 160338934
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  • id: 160338935
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  • id: 160338936
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  • id: 160338937
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  • id: 160338938
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  • id: 160338939
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  • id: 160338940
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  • id: 160338941
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  • id: 160338942
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  • id: 160338943
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  • id: 160338944
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  • id: 160338945
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  • id: 160338946
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  • id: 160338947
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  • id: 160338948
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  • id: 160338949
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  • id: 160338950
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  • id: 160338951
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  • id: 160338952
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  • id: 160338953
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  • id: 160338954
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  • id: 160338955
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  • id: 160338956
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  • id: 160338957
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  • id: 160338958
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  • id: 160338959
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  • id: 160338960
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  • id: 160338961
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  • id: 160338962
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  • id: 160338963
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  • id: 160338964
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  • id: 160338965
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  • id: 160338966
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  • id: 160338967
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  • id: 160338968
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  • id: 160338969
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  • id: 160338970
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  • id: 160338971
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  • id: 160338972
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  • id: 160338973
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  • id: 160338974
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  • id: 160338975
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  • id: 160338976
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  • id: 160338977
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  • id: 160338978
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  • id: 160338979
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  • id: 160338980
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  • id: 160338981
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  • id: 160338982
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  • id: 160338983
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  • id: 160338984
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  • id: 160338985
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  • id: 160338986
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  • id: 160338987
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  • id: 160338988
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  • id: 160338989
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  • id: 160338990
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  • id: 160338991
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  • id: 160338992
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  • id: 160338993
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  • id: 160338994
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  • id: 160338995
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  • id: 160338996
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  • id: 160338997
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  • id: 160338998
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  • id: 160338999
    {'hecke_orbit_code': 18015154474058496, 'n': 1000, 'trace_an': 0}