Embedded newform data - 8047.2.a.d.1.10

Formats: - HTML - YAML - JSON - 2024-06-07T13:34:02.676890

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 32188, 'analytic_conductor': 64.25561850652433, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[13, 1], [619, -1]], 'atkin_lehner_string': '+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [8047, 1, [3096, 4954], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 156, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-6152614763945, -116907757692250, 1823792489422472, 47357767685061849, -53726648033144962, -6515427802179153343, -21733329369298338030, 410897847584963995407, 2399126226939899466272, -14627553303025036560092, -124432751753882643604165, 315808354033207986509491, 4112911280459567528234708, -3790792568997420490644929, -97204578238747367271954574, 2883887759865946297520091, 1749281802641496034285162089, 889746101468601394509260887, -24957078616297216400699036893, 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29305871990108137500140, 1070160802840262940549, -2631522409184428809949, -4036038814152433008, 212046231030659187366, -6548366078917406476, -15240386225870249562, 938607403778546754, 969582500401021337, -88693025714856621, -54068012378376188, 6575792337157330, 2608867606419421, -400528975859926, -107004469592450, 20294353305991, 3634491516361, -853394431943, -97942027317, 29412181939, 1922139156, -812074140, -21064932, 17308391, -110919, -267722, 8986, 2677, -152, -13, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510798915673967, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '8047.2.a.d', 'level': 8047, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [13, 619], 'level_radical': 8047, 'minimal_twist': '8047.2.a.d', 'prim_orbit_index': 1, 'related_objects': [], 'relative_dim': 156, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8047.2.a', 'trace_display': [13, 23, 39, 19], 'traces': [156, 13, 23, 161, 39, 25, 19, 42, 169, 11, 23, 57, -156, 18, 32, 159, 119, 36, 35, 109, 33, 11, 55, 63, 189, -13, 89, 54, -55, 0, 47, 112, 109, 51, 25, 162, 53, 37, -23, 25, 113, 26, 31, 86, 144, 37, 115, 129, 189, 72, -4, -161, 51, 108, 22, 39, 102, 31, 75, 97, 7, 77, 94, 158, -39, 48, 37, 235, 27, 38, 70, 152, 155, -18, 80, 21, 101, -25, 10, 211, 220, 45, 132, 86, 74, 35, 53, 51, 190, -27, -19, 125, 96, -19, 72, 146, 155, 135, 89, 232, -9, 65, 56, -42, 29, 70, 42, 212, 56, 89, 109, 119, 184, -72, 89, -72, -169, 55, 176, 51, 181, 210, 116, 142, 216, 87, 50, 167, 50, -11, 64, 224, 20, -36, 154, 126, 277, 39, 19, 8, 120, 82, -23, 166, 55, 107, 121, 168, 156, 129, 23, 109, 363, 37, 35, -57, 39, 213, 9, 104, 155, 31, 115, 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281, 48, -24, 1699], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
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-0.09291362011932379, -0.2888283119128682, -0.27530520166842587, -0.22784929848380583, -0.14722516883676506, -0.32936965231831355, -0.3057482516720117, -0.21135529003944892, -0.23826339495556603], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 10, 'dual_embedding_m': 10, 'embedding_index': 10, 'embedding_m': 10, 'hecke_orbit': 4, 'hecke_orbit_code': 13510798915673967, 'label': '8047.2.a.d.1.10', 'level': 8047, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [151, 158, 168, 142], 'Nk2': 32188, 'analytic_conductor': 64.25561850652433, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [8047, 1, [3096, 4954], [1, 1]], 'conrey_index': 1, 'cusp_dim': 721, 'dim': 619, 'eis_dim': 3, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 33562479, 'hecke_orbit_dims': [2, 142, 151, 156, 168], 'label': '8047.2.a', 'level': 8047, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [13, 619], 'level_radical': 8047, 'mf_dim': 724, 'mf_new_dim': 619, 'num_forms': 5, 'plus_dim': 293, 'prim_orbit_index': 1, 'relative_dim': 619, 'sturm_bound': 1446, 'trace_bound': 1, 'trace_display': [-1, 4, 2, -4], 'traces': [619, -1, 4, 621, 2, 0, -4, -9, 623, -10, 4, 20, 1, 0, 16, 613, 18, -9, 20, -10, 0, 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64, 354, -48, 274, -248, 136, -130, 288, 0, 368, 112, -64, 60, 376, 44, -444, -92, 476, -236, -586, -500, -348, -120, 292, -8, -506, -74, -184, 36, 468, 106, 336, 252, -296, -142, -401, 32, 46, 456, -188, -232, -84, -452, 336, 308, 172, -216, 132, -204, 64, -96, -166, 48, 851, -144, 540, -208, 198, 132, -192, 4, 16, -26, -28, -238, 20, -340, -38, -172, 194, -292, -164, 28, 76, 380, -114, 36, -700, 34, 0, 80, -898, 334, -236, -88, -274, 92, -368, -128, -147, -22, -224, 196, -160, -230, -344, 88, -64, -828, -132, -64, 484, -22, 252, -132, 372, -26, 38, 200, -88, -208, -112, -200, 1100, 367, -10, 164, -362, 28, -208, -18, 15, 268, -656, -364, -256, 204, -428, -4, -114, 302, 252, -68, -10, -354, -264, 240, -544, -240, 440, 176, 116, 12, 120, -64, -568, 188, -512, 48, 8, -210, -60, 292, -588], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 156, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13510798915673967, 'source_is_minimal': True, 'source_label': '8047.2.a.d.1.10', 'source_level': 8047, 'target_conrey_index': 1, 'target_dim': 156, 'target_embedding_index': 10, 'target_hecke_orbit_code': 13510798915673967, 'target_is_minimal': True, 'target_label': '8047.2.a.d.1.10', 'target_level': 8047, 'twist_class_label': '8047.2.a.d.1.10', 'twist_class_level': 8047, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
• hecke_orbit_code 13510798915673967 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 4, 'label': '8047.2.a.d', 'level': 8047, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 34155565
    {'hecke_orbit_code': 13510798915673967, 'n': 1, 'trace_an': 156}
  • id: 34155566
    {'hecke_orbit_code': 13510798915673967, 'n': 2, 'trace_an': 13}
  • id: 34155567
    {'hecke_orbit_code': 13510798915673967, 'n': 3, 'trace_an': 23}
  • id: 34155568
    {'hecke_orbit_code': 13510798915673967, 'n': 4, 'trace_an': 161}
  • id: 34155569
    {'hecke_orbit_code': 13510798915673967, 'n': 5, 'trace_an': 39}
  • id: 34155570
    {'hecke_orbit_code': 13510798915673967, 'n': 6, 'trace_an': 25}
  • id: 34155571
    {'hecke_orbit_code': 13510798915673967, 'n': 7, 'trace_an': 19}
  • id: 34155572
    {'hecke_orbit_code': 13510798915673967, 'n': 8, 'trace_an': 42}
  • id: 34155573
    {'hecke_orbit_code': 13510798915673967, 'n': 9, 'trace_an': 169}
  • id: 34155574
    {'hecke_orbit_code': 13510798915673967, 'n': 10, 'trace_an': 11}
  • id: 34155575
    {'hecke_orbit_code': 13510798915673967, 'n': 11, 'trace_an': 23}
  • id: 34155576
    {'hecke_orbit_code': 13510798915673967, 'n': 12, 'trace_an': 57}
  • id: 34155577
    {'hecke_orbit_code': 13510798915673967, 'n': 13, 'trace_an': -156}
  • id: 34155578
    {'hecke_orbit_code': 13510798915673967, 'n': 14, 'trace_an': 18}
  • id: 34155579
    {'hecke_orbit_code': 13510798915673967, 'n': 15, 'trace_an': 32}
  • id: 34155580
    {'hecke_orbit_code': 13510798915673967, 'n': 16, 'trace_an': 159}
  • id: 34155581
    {'hecke_orbit_code': 13510798915673967, 'n': 17, 'trace_an': 119}
  • id: 34155582
    {'hecke_orbit_code': 13510798915673967, 'n': 18, 'trace_an': 36}
  • id: 34155583
    {'hecke_orbit_code': 13510798915673967, 'n': 19, 'trace_an': 35}
  • id: 34155584
    {'hecke_orbit_code': 13510798915673967, 'n': 20, 'trace_an': 109}
  • id: 34155585
    {'hecke_orbit_code': 13510798915673967, 'n': 21, 'trace_an': 33}
  • id: 34155586
    {'hecke_orbit_code': 13510798915673967, 'n': 22, 'trace_an': 11}
  • id: 34155587
    {'hecke_orbit_code': 13510798915673967, 'n': 23, 'trace_an': 55}
  • id: 34155588
    {'hecke_orbit_code': 13510798915673967, 'n': 24, 'trace_an': 63}
  • id: 34155589
    {'hecke_orbit_code': 13510798915673967, 'n': 25, 'trace_an': 189}
  • id: 34155590
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  • id: 34155591
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  • id: 34155592
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  • id: 34155593
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  • id: 34155594
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  • id: 34155595
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  • id: 34155596
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  • id: 34155597
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  • id: 34155598
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  • id: 34155599
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  • id: 34155600
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  • id: 34155601
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  • id: 34155602
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  • id: 34155603
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  • id: 34155604
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  • id: 34155605
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  • id: 34155606
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  • id: 34155607
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  • id: 34155608
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  • id: 34155609
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  • id: 34155610
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  • id: 34155611
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  • id: 34155612
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  • id: 34155613
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  • id: 34155614
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  • id: 34155615
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  • id: 34155616
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  • id: 34155617
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  • id: 34155618
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  • id: 34155619
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  • id: 34155620
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  • id: 34155621
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  • id: 34155622
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  • id: 34155623
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  • id: 34155624
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  • id: 34155625
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  • id: 34155626
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  • id: 34155627
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  • id: 34155628
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  • id: 34155629
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  • id: 34155630
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  • id: 34155631
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  • id: 34155632
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  • id: 34155633
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  • id: 34155634
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  • id: 34155635
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  • id: 34155636
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  • id: 34155637
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  • id: 34155638
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  • id: 34155639
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  • id: 34155640
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  • id: 34155641
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  • id: 34155642
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  • id: 34155643
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  • id: 34155644
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  • id: 34155645
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  • id: 34155646
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  • id: 34155647
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  • id: 34155648
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  • id: 34155649
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  • id: 34155650
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  • id: 34155651
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  • id: 34155652
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  • id: 34155653
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  • id: 34155654
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  • id: 34155655
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  • id: 34155656
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  • id: 34155657
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  • id: 34155658
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  • id: 34155659
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  • id: 34155660
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  • id: 34155661
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  • id: 34155662
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  • id: 34155663
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  • id: 34155664
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  • id: 34155665
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  • id: 34155666
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  • id: 34155667
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  • id: 34155668
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  • id: 34155669
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  • id: 34155670
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  • id: 34155671
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  • id: 34155672
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  • id: 34155673
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  • id: 34155674
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  • id: 34155675
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  • id: 34155676
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  • id: 34155677
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  • id: 34155678
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  • id: 34155679
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  • id: 34155680
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  • id: 34155681
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  • id: 34155682
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  • id: 34155683
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  • id: 34155684
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  • id: 34155685
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  • id: 34155686
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  • id: 34155687
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  • id: 34155688
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  • id: 34155689
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  • id: 34155690
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  • id: 34155691
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  • id: 34155692
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  • id: 34155693
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  • id: 34155694
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  • id: 34155695
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  • id: 34155696
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  • id: 34155697
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  • id: 34155698
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  • id: 34155699
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  • id: 34155700
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  • id: 34155701
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  • id: 34155702
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  • id: 34155703
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  • id: 34155704
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  • id: 34155705
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  • id: 34155706
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  • id: 34155707
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  • id: 34155708
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  • id: 34155709
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  • id: 34155710
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  • id: 34155711
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  • id: 34155712
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  • id: 34155713
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  • id: 34155714
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  • id: 34155715
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  • id: 34155716
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  • id: 34155717
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  • id: 34155718
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  • id: 34155719
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  • id: 34155720
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  • id: 34155721
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  • id: 34155722
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  • id: 34155723
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  • id: 34155724
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  • id: 34155725
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  • id: 34155726
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  • id: 34155727
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  • id: 34155728
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  • id: 34155729
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  • id: 34155730
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  • id: 34155731
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  • id: 34155732
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  • id: 34155733
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  • id: 34155734
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  • id: 34155735
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  • id: 34155736
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  • id: 34155737
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  • id: 34155738
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  • id: 34155739
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  • id: 34155740
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  • id: 34155741
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  • id: 34155742
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  • id: 34155743
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  • id: 34155744
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  • id: 34155745
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  • id: 34155746
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  • id: 34155747
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  • id: 34155748
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  • id: 34155749
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  • id: 34155750
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  • id: 34155751
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  • id: 34155752
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  • id: 34155753
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  • id: 34155754
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  • id: 34155755
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  • id: 34155756
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  • id: 34155757
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  • id: 34155758
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  • id: 34155759
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  • id: 34155760
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  • id: 34155761
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  • id: 34155762
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  • id: 34155763
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  • id: 34155764
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  • id: 34155765
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  • id: 34155766
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  • id: 34155767
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  • id: 34155768
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  • id: 34155769
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  • id: 34155770
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  • id: 34155771
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  • id: 34155772
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  • id: 34155773
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  • id: 34155774
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  • id: 34155775
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  • id: 34155776
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  • id: 34155777
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  • id: 34155778
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  • id: 34155779
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  • id: 34155780
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  • id: 34155781
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  • id: 34155782
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  • id: 34155783
    {'hecke_orbit_code': 13510798915673967, 'n': 739, 'trace_an': 6}
  • id: 34155784
    {'hecke_orbit_code': 13510798915673967, 'n': 743, 'trace_an': 313}
  • id: 34155785
    {'hecke_orbit_code': 13510798915673967, 'n': 751, 'trace_an': -38}
  • id: 34155786
    {'hecke_orbit_code': 13510798915673967, 'n': 757, 'trace_an': 4}
  • id: 34155787
    {'hecke_orbit_code': 13510798915673967, 'n': 761, 'trace_an': 447}
  • id: 34155788
    {'hecke_orbit_code': 13510798915673967, 'n': 769, 'trace_an': 220}
  • id: 34155789
    {'hecke_orbit_code': 13510798915673967, 'n': 773, 'trace_an': 484}
  • id: 34155790
    {'hecke_orbit_code': 13510798915673967, 'n': 787, 'trace_an': -41}
  • id: 34155791
    {'hecke_orbit_code': 13510798915673967, 'n': 797, 'trace_an': 230}
  • id: 34155792
    {'hecke_orbit_code': 13510798915673967, 'n': 809, 'trace_an': -25}
  • id: 34155793
    {'hecke_orbit_code': 13510798915673967, 'n': 811, 'trace_an': -142}
  • id: 34155794
    {'hecke_orbit_code': 13510798915673967, 'n': 821, 'trace_an': 425}
  • id: 34155795
    {'hecke_orbit_code': 13510798915673967, 'n': 823, 'trace_an': -158}
  • id: 34155796
    {'hecke_orbit_code': 13510798915673967, 'n': 827, 'trace_an': 328}
  • id: 34155797
    {'hecke_orbit_code': 13510798915673967, 'n': 829, 'trace_an': 111}
  • id: 34155798
    {'hecke_orbit_code': 13510798915673967, 'n': 839, 'trace_an': 271}
  • id: 34155799
    {'hecke_orbit_code': 13510798915673967, 'n': 841, 'trace_an': 13}
  • id: 34155800
    {'hecke_orbit_code': 13510798915673967, 'n': 853, 'trace_an': 88}
  • id: 34155801
    {'hecke_orbit_code': 13510798915673967, 'n': 857, 'trace_an': 328}
  • id: 34155802
    {'hecke_orbit_code': 13510798915673967, 'n': 859, 'trace_an': 126}
  • id: 34155803
    {'hecke_orbit_code': 13510798915673967, 'n': 863, 'trace_an': -77}
  • id: 34155804
    {'hecke_orbit_code': 13510798915673967, 'n': 877, 'trace_an': -70}
  • id: 34155805
    {'hecke_orbit_code': 13510798915673967, 'n': 881, 'trace_an': 528}
  • id: 34155806
    {'hecke_orbit_code': 13510798915673967, 'n': 883, 'trace_an': -6}
  • id: 34155807
    {'hecke_orbit_code': 13510798915673967, 'n': 887, 'trace_an': 71}
  • id: 34155808
    {'hecke_orbit_code': 13510798915673967, 'n': 907, 'trace_an': 229}
  • id: 34155809
    {'hecke_orbit_code': 13510798915673967, 'n': 911, 'trace_an': -302}
  • id: 34155810
    {'hecke_orbit_code': 13510798915673967, 'n': 919, 'trace_an': -147}
  • id: 34155811
    {'hecke_orbit_code': 13510798915673967, 'n': 929, 'trace_an': 928}
  • id: 34155812
    {'hecke_orbit_code': 13510798915673967, 'n': 937, 'trace_an': 100}
  • id: 34155813
    {'hecke_orbit_code': 13510798915673967, 'n': 941, 'trace_an': -33}
  • id: 34155814
    {'hecke_orbit_code': 13510798915673967, 'n': 947, 'trace_an': 151}
  • id: 34155815
    {'hecke_orbit_code': 13510798915673967, 'n': 953, 'trace_an': 202}
  • id: 34155816
    {'hecke_orbit_code': 13510798915673967, 'n': 961, 'trace_an': -75}
  • id: 34155817
    {'hecke_orbit_code': 13510798915673967, 'n': 967, 'trace_an': -295}
  • id: 34155818
    {'hecke_orbit_code': 13510798915673967, 'n': 971, 'trace_an': -201}
  • id: 34155819
    {'hecke_orbit_code': 13510798915673967, 'n': 977, 'trace_an': 656}
  • id: 34155820
    {'hecke_orbit_code': 13510798915673967, 'n': 983, 'trace_an': 545}
  • id: 34155821
    {'hecke_orbit_code': 13510798915673967, 'n': 991, 'trace_an': -156}
  • id: 34155822
    {'hecke_orbit_code': 13510798915673967, 'n': 997, 'trace_an': 13}