Embedded newform data - 1386.2.ba.b.1187.16

Formats: - HTML - YAML - JSON - 2024-06-12T22:16:42.814754

• 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': 5544, 'analytic_conductor': 11.06726572014946, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 231, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 27, 'char_orbit_label': 'ba', 'char_order': 6, 'char_parity': 1, 'char_values': [1386, 6, [155, 199, 1135], [3, 2, 3]], 'cm_discs': [], 'conrey_index': 989, 'dim': 32, 'has_non_self_twist': 1, 'hecke_orbit': 2, 'hecke_orbit_code': 4505386367321450, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 0], [1, 1, 33, 4, 1, 2, 0], [1, 1, 231, 12, 1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1386.2.ba.b', 'level': 1386, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 11], 'level_radical': 462, 'minimal_twist': '1386.2.ba.a', 'prim_orbit_index': 12, 'related_objects': [], 'relative_dim': 16, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1386.2.ba', 'trace_display': [16, 0, 0, 0], 'traces': [32, 16, 0, -16, 0, 0, 0, -32, 0, 0, 2, 0, 0, 0, 0, -16, 4, 0, 0, 0, 0, 4, 0, 0, 4, 0, 0, 0, 16, 0, 4, 16, 0, 8, 16, 0, 4, 0, 0, 0, -32, 0, 0, 2, 0, 0, 0, 0, 20, 8, 0, 0, 0, 0, -12, 0, 0, 8, 0, 0, 0, 8, 0, 32, 0, 0, -8, 4, 0, -4, 0, 0, 0, -4, 0, 0, 14, 0, 0, 0, 0, -16, 88, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, -24, 0, -32, -8, 0, 4, -28, 0, -40, 0, 0, 0, 12, 0, 0, -6, 0, 0, 0, 0, -32, -8, 0, 0, 0, 0, -2, 0, 0, 4, 0, 0, 0, 16, 0, 0, -4, 0, 92, -16, 0, -4, 0, 0, 0, -20, 0, 0, -56, 0, 0, 0, 0, -8, -76, 0, 0, 0, 0, 10, 0, 0, 68, 0, 0, 0, -60, 0, 48, 16, 0, 44, -112, 0, -64, 0, 0, 0, 80, 0, 0, -4, 0, 0, 0, 0, -48, 24, 0, 0, 0, 0, 44, 0, 0, -48, 0, 0, 0, -16, 0, -28, 120, 0, 32, -4, 0, -56, 0, 0, 0, 40, 0, 0, 80, 0, 0, 0, 0, -12, -32, 0, 0, 0, 0, 6, 0, 0, -72, 0, 0, 0, 60, 0, -64, -64, 0, -16, -68, 0, -16, 0, 0, 0, 16, 0, 0, 2, 0, 0, 0, 0, -112, -4, 0, 0, 0, 0, -136, 0, 0, -16, 0, 0, 0, 0, 0, 4, 104, 0, 264, 28, 0, -8, 0, 0, 0, -8, 0, 0, 40, 0, 0, 0, 0, -16, -104, 0, 0, 0, 0, -112, 0, 0, -20, 0, 0, 0, 0, 0, 344, -4, 0, 76, 16, 0, -144, 0, 0, 0, -80, 0, 0, -4, 0, 0, 0, 0, -8, 136, 0, 0, 0, 0, -30, 0, 0, 60, 0, 0, 0, -48, 0, 32, 28, 0, 24, -44, 0, -56, 0, 0, 0, -32, 0, 0, -58, 0, 0, 0, 0, -80, 48, 0, 0, 0, 0, -2, 0, 0, 152, 0, 0, 0, 128, 0, 84, -24, 0, 24, -16, 0, -124, 0, 0, 0, -108, 0, 0, -44, 0, 0, 0, 0, -16, -24, 0, 0, 0, 0, -74, 0, 0, 16, 0, 0, 0, -20, 0, 60, 4, 0, 84, 64, 0, -8, 0, 0, 0, -28, 0, 0, -160, 0, 0, 0, 0, 80, 200, 0, 0, 0, 0, 40, 0, 0, -216, 0, 0, 0, -76, 0, -176, -24, 0, 32, 40, 0, -56, 0, 0, 0, 132, 0, 0, 12, 0, 0, 0, 0, 40, -36, 0, 0, 0, 0, 32, 0, 0, 120, 0, 0, 0, 64, 0, -32, -408, 0, 0, -8, 0, 68, 0, 0, 0, -32, 0, 0, -60, 0, 0, 0, 0, 8, -56, 0, 0, 0, 0, 4, 0, 0, 36, 0, 0, 0, 72, 0, 20, 112, 0, -8, 64, 0, 8, 0, 0, 0, -16, 0, 0, -68, 0, 0, 0, 0, -16, -32, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 8, 0, 208, 40, 0, 36, 132, 0, -64, 0, 0, 0, 8, 0, 0, 76, 0, 0, 0, 0, -4, 352, 0, 0, 0, 0, -40, 0, 0, 80, 0, 0, 0, -120, 0, 112, 4, 0, -52, -52, 0, -192, 0, 0, 0, 76, 0, 0, -56, 0, 0, 0, 0, -132, 20, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 172, 0, 4, 76, 0, 256, 152, 0, -16, 0, 0, 0, -156, 0, 0, -166, 0, 0, 0, 0, -160, -144, 0, 0, 0, 0, -14, 0, 0, 112, 0, 0, 0, -256, 0, 160, 8, 0, 68, -168, 0, -152, 0, 0, 0, 180, 0, 0, -60, 0, 0, 0, 0, -80, 120, 0, 0, 0, 0, 38, 0, 0, -96, 0, 0, 0, 16, 0, -4, 176, 0, -4, -24, 0, -88, 0, 0, 0, 56, 0, 0, 376, 0, 0, 0, 0, 32, -80, 0, 0, 0, 0, 58, 0, 0, -224, 0, 0, 0, 168, 0, -64, -160, 0, 96, -184, 0, -8, 0, 0, 0, 384, 0, 0, 2, 0, 0, 0, 0, 4, -152, 0, 0, 0, 0, -296, 0, 0, -128, 0, 0, 0, 168, 0, 24, 60, 0, 328, 0, 0, -8, 0, 0, 0, -248, 0, 0, 12, 0, 0, 0, 0, -36, -256, 0, 0, 0, 0, -88, 0, 0, 28, 0, 0, 0, -184, 0, 600, -8, 0, 24, -40, 0, -96, 0, 0, 0, -160, 0, 0, 104, 0, 0, 0, 0, -56, 32, 0, 0, 0, 0, -176, 0, 0, 8, 0, 0, 0, -60, 0, 8, 120, 0, -120, -84, 0, 32, 0, 0, 0, -4, 0, 0, 20, 0, 0, 0, 0, 28, -16, 0, 0, 0, 0, -80, 0, 0, 324, 0, 0, 0, 236, 0, 96, 40, 0, 124, -376, 0, -36, 0, 0, 0, -220, 0, 0, -40, 0, 0, 0, 0, 48, -108, 0, 0, 0, 0, 72, 0, 0, 76, 0, 0, 0, -136, 0, -12, 116, 0, -8, 64, 0, 80, 0, 0, 0, -28, 0, 0, -172, 0, 0, 0, 0, 264, 84, 0, 0, 0, 0, 6, 0, 0, -96, 0, 0, 0, -112, 0, -268, 80, 0, 36, 204, 0, -176, 0, 0, 0, 124, 0, 0, 64, 0, 0, 0, 0, -72, 60, 0, 0, 0, 0, 58, 0, 0, 128, 0, 0, 0, 32, 0, -204, -176, 0, -152, 0, 0, 8, 0, 0, 0, 136, 0, 0, 72, 0, 0, 0, 0, -16, -280, 0, 0, 0, 0, -120, 0, 0, -56, 0, 0, 0, -32, 0, -104, -8, 0, -112, 64, 0, -28, 0, 0, 0, -40, 0, 0, 2, 0, 0, 0, 0, 144, 72, 0, 0, 0, 0, -24, 0, 0, 36, 0, 0, 0, 40, 0, 224, 4, 0, -60, -4, 0, -172, 0, 0, 0, -8, 0, 0, 460, 0, 0, 0, 0, -8, 704, 0, 0, 0, 0, 68, 0, 0, 448, 0, 0, 0, -140, 0, 416, -80, 0, -16, 80, 0, -320, 0, 0, 0, 160, 0, 0, -104, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -16, 0, 0, 4, 0, 0, 0, 104, 0, -40, 232, 0, 288, 72, 0, -132, 0, 0, 0, -92, 0, 0, -126, 0, 0, 0, 0, 16, -196, 0, 0, 0, 0, 26, 0, 0, 236, 0, 0, 0, -500, 0, 108, 4, 0, 176, 136, 0, 488, 0, 0, 0, -84, 0, 0, -80, 0, 0, 0, 0, -416, 28, 0, 0, 0, 0, 92, 0, 0, -240, 0, 0, 0, 56, 0, 20, -136, 0, 136, 52, 0, -104, 0, 0, 0, 192, 0, 0, 176, 0, 0, 0, 0, -76, -64, 0, 0, 0, 0, 56, 0, 0, -464, 0, 0, 0, 376, 0, -200, -264, 0, 40, -160, 0, -8, 0, 0, 0, 104, 0, 0, 6, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -228, 0, 0, -172, 0, 0, 0, 8, 0, -76, 172, 0, 96, 224, 0, 76, 0, 0, 0, -32, 0, 0, -84, 0, 0, 0, 0, -12, -408, 0, 0, 0, 0, -332, 0, 0, -268, 0, 0, 0, -416, 0, 320, -80, 0, 144, 24, 0, -436, 0, 0, 0, 4, 0, 0, -10, 0, 0, 0, 0, -112, 224, 0, 0, 0, 0, -136, 0, 0, 184, 0, 0, 0, -160, 0, 16, -124, 0, 188, -68, 0, -84, 0, 0, 0, -76, 0, 0, -108, 0, 0, 0, 0, -180, -112, 0, 0, 0, 0, -30, 0, 0, 280, 0, 0, 0, 372, 0, 296, -40, 0, 60, 48, 0, -152, 0, 0, 0, -640, 0, 0, -38, 0, 0, 0, 0, 248, -48, 0, 0, 0, 0, 156, 0, 0, -16, 0, 0, 0, -32, 0, 88, 88, 0, 4, -8, 0, -48, 0, 0, 0, -44, 0, 0, -64, 0, 0, 0, 0, 112, 408, 0, 0, 0, 0, 188, 0, 0, -280, 0, 0, 0, 60, 0, -644, 64, 0, 80, 308, 0, 280, 0, 0, 0, 296, 0, 0, 116, 0, 0, 0, 0, 108, -112, 0, 0, 0, 0, 94, 0, 0, 336, 0, 0, 0, 64, 0, -80, -736, 0, -128, 48, 0, 184, 0, 0, 0, -16, 0, 0, 30, 0, 0, 0, 0, 192, -464, 0, 0, 0, 0, 4, 0, 0, 32, 0, 0, 0, 368, 0, -344, -4, 0, -304, 404, 0, 148, 0, 0, 0, -776, 0, 0, -148, 0, 0, 0, 0, 104, -256, 0, 0, 0, 0, 332, 0, 0, 84, 0, 0, 0, 48, 0, 120, 72, 0, -308, 164, 0, -24, 0, 0, 0, 8, 0, 0, 352, 0, 0, 0, 0, -124, 592, 0, 0, 0, 0, -12, 0, 0, 144, 0, 0, 0, -276, 0, -32, 72, 0, -128, -288, 0, -128, 0, 0, 0, 332, 0, 0, -44, 0, 0, 0, 0, 216, -28, 0, 0, 0, 0, -172, 0, 0, -92, 0, 0, 0, 300, 0, 8, 104, 0, 64, 48, 0, 40, 0, 0, 0, -192, 0, 0, -256, 0, 0, 0, 0, -320, -376, 0, 0, 0, 0, 178, 0, 0, 268, 0, 0, 0, -424, 0, 76, 56, 0, 16, -40, 0, 96, 0, 0, 0, 32, 0, 0, -352, 0, 0, 0, 0, -8, 28, 0, 0, 0, 0, 160, 0, 0, -120, 0, 0, 0, 4, 0, -240, 400, 0, 44, 120, 0, -168, 0, 0, 0, -32, 0, 0, 524, 0, 0, 0, 0, 4, -108, 0, 0, 0, 0, -20, 0, 0, -32, 0, 0, 0, 436, 0, -336, 56, 0, -32, -420, 0, -72, 0, 0, 0, 848, 0, 0, 80, 0, 0, 0, 0, -140, -324, 0, 0, 0, 0, -416, 0, 0, -236, 0, 0, 0, 192, 0, -40, -28, 0, 288, -76, 0, -188, 0, 0, 0, -72, 0, 0, -134, 0, 0, 0, 0, -224, -456, 0, 0, 0, 0, -80, 0, 0, -152, 0, 0, 0, -256, 0, 80, 24, 0, 108, -236, 0, -268, 0, 0, 0, -144, 0, 0, 186, 0, 0, 0, 0, 72, 152, 0, 0, 0, 0, 6, 0, 0, 40, 0, 0, 0, 12, 0, 232, 260, 0, -52, 8, 0, 32, 0, 0, 0, 40, 0, 0, -56, 0, 0, 0, 0, 28, 228, 0, 0, 0, 0, -86, 0, 0, 452, 0, 0, 0, 248, 0, 264, 132, 0, -24, 64, 0, -388, 0, 0, 0, -60, 0, 0, -6, 0, 0, 0, 0, 16, -48, 0, 0, 0, 0, 204, 0, 0, 112, 0, 0, 0, -260, 0, 40, -136, 0, 200, 72, 0, 408, 0, 0, 0, -88, 0, 0, -360, 0, 0, 0, 0, 248, 544, 0, 0, 0, 0, 32, 0, 0, -656, 0, 0, 0, -8, 0, -140, -144, 0, -60, 16, 0, 688, 0, 0, 0, 432, 0, 0, 116, 0, 0, 0, 0, 292, 64, 0, 0, 0, 0, 108, 0, 0, 64, 0, 0, 0, 204, 0, -88, -448, 0, -360, -76, 0, 0, 0, 0, 0, 16, 0, 0, -74, 0, 0, 0, 0, 68, -448, 0, 0, 0, 0, 144, 0, 0, 76, 0, 0, 0, 192, 0, -20, 16, 0, -560, -4, 0, 384, 0, 0, 0, 408, 0, 0, -60, 0, 0, 0, 0, -416, -112, 0, 0, 0, 0, 248, 0, 0, -16, 0, 0, 0, -208, 0, -16, 136, 0, -288, -56, 0, -88, 0, 0, 0, 28, 0, 0, 148, 0, 0, 0, 0, -20, 96, 0, 0, 0, 0, -2, 0, 0, 240, 0, 0, 0, -264, 0, -32, -84, 0, 36, -68, 0, -184, 0, 0, 0, 272, 0, 0, -12, 0, 0, 0, 0, 112, -36, 0, 0, 0, 0, 204, 0, 0, 20, 0, 0, 0, 112, 0, -4, 192, 0, 240, -120, 0, 4, 0, 0, 0, -236, 0, 0, -232, 0, 0, 0, 0, -16, -152, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.3535533905932738, 0.6123724356957945], [0.0, 0.0], [-0.25, 0.4330127018922193], [1.4296718380164828, -0.8254214205316435], [0.0, 0.0], [-0.5782277521256606, 0.8158753989866993], [-0.3535533905932738, 0.0], [0.0, 0.0], [1.0109306515328904, 0.583661083794558], [-0.1243654721686367, 0.9922364785333545], [0.0, 0.0], [0.0, 1.5546018159791128], [-0.7040539876009175, -0.06563522334270736], [0.0, 0.0], [-0.125, -0.21650635094610965], [0.33824325923371124, -0.5858545103104786], [0.0, 0.0], [-0.49239774703747996, 0.28428597180045434], [0.0, 0.8254214205316435], [0.0, 0.0], [-0.6515881035036432, 0.274650584147432], [-0.6802057278151412, 0.3927169600583971], [0.0, 0.0], [0.8626410429449524, -1.4941381150748632], [-0.9519953005882348, 0.549634743061876], [0.0, 0.0], [-0.20872747289120794, -0.4543488110036716], [0.28042095040983217, 0.0], [0.0, 0.0], [-0.3058603452321541, 0.5297656579626481], [0.08838834764831845, -0.15309310892394862], [0.0, 0.0], [0.47834820458959304, 0.0], [-0.1532349023652098, 1.6437156538121274], [0.0, 0.0], [0.46995885237157586, 0.8139926097743307], [-0.3481777859711803, -0.20102053845630888], [0.0, 0.0], [-0.5054653257664452, 0.291830541897279], [0.9756664600912406, 0.0], [0.0, 0.0], [0.0, -1.177298301527827], [-0.3985596304435897, -0.3019109487591816], [0.0, 0.0], [-0.48097808274001735, -0.2776928255442591], [-1.3101035169305308, 0.7563886181661174], [0.0, 0.0], [-0.3313053333434113, -0.9435235959414111], [1.219958662392423, 0.0], [0.0, 0.0], [-0.6731623327036664, -0.3886504539947782], [1.274262766022178, 0.7356959509812215], [0.0, 0.0], [0.6412114304331944, 1.521226474714308], [0.20443438229915437, -0.28845551361338756], [0.0, 0.0], [0.09914377781078446, 0.17172206042259855], [1.5132131742743589, 0.8736540335085892], [0.0, 0.0], [-0.27301268076210333, 0.15762394473018174], [-0.43255184841942934, 0.0], [0.0, 0.0], [0.125, 0.0], [1.283201639306552, 2.2225704356346205], [0.0, 0.0], [0.6922043330094051, 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• mf_newspaces •

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

  
  {'Nk2': 5544, 'analytic_conductor': 11.06726572014946, 'char_conductor': 231, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 27, 'char_orbit_label': 'ba', 'char_order': 6, 'char_parity': 1, 'char_values': [1386, 6, [155, 199, 1135], [3, 2, 3]], 'conrey_index': 989, 'cusp_dim': 544, 'dim': 64, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_orbit_code': 1786739950954, 'hecke_orbit_dims': [32, 32], 'label': '1386.2.ba', 'level': 1386, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 11], 'level_radical': 462, 'mf_dim': 608, 'mf_new_dim': 64, 'num_forms': 2, 'prim_orbit_index': 12, 'relative_dim': 32, 'sturm_bound': 576, 'trace_bound': 2, 'trace_display': [0, 0, 0, 0], 'traces': [64, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 8, 0, 0, 8, 0, 0, 0, 0, 0, 8, 0, 0, 16, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -24, 0, 0, 16, 0, 0, 0, 0, 0, 64, 0, 0, -16, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 8, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -4, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 20, 0, 0, 136, 0, 0, 0, 0, 0, 96, 0, 0, 88, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 88, 0, 0, -96, 0, 0, 0, 0, 0, -56, 0, 0, 64, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 12, 0, 0, -144, 0, 0, 0, 0, 0, -128, 0, 0, -32, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, -272, 0, 0, -32, 0, 0, 0, 0, 0, 8, 0, 0, 528, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -224, 0, 0, -40, 0, 0, 0, 0, 0, 688, 0, 0, 152, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -60, 0, 0, 120, 0, 0, 0, 0, 0, 64, 0, 0, 48, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -4, 0, 0, 304, 0, 0, 0, 0, 0, 168, 0, 0, 48, 0, 0, -248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -148, 0, 0, 32, 0, 0, 0, 0, 0, 120, 0, 0, 168, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 80, 0, 0, -432, 0, 0, 0, 0, 0, -352, 0, 0, 64, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 64, 0, 0, 240, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 8, 0, 0, 72, 0, 0, 0, 0, 0, 40, 0, 0, -16, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 0, 416, 0, 0, 72, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -80, 0, 0, 160, 0, 0, 0, 0, 0, 224, 0, 0, -104, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 512, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, -28, 0, 0, 224, 0, 0, 0, 0, 0, 320, 0, 0, 136, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 76, 0, 0, -192, 0, 0, 0, 0, 0, -8, 0, 0, -8, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 116, 0, 0, -448, 0, 0, 0, 0, 0, -128, 0, 0, 192, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -592, 0, 0, -256, 0, 0, 0, 0, 0, 48, 0, 0, 656, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -176, 0, 0, 56, 0, 0, 0, 0, 0, 1200, 0, 0, 48, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, -352, 0, 0, 16, 0, 0, 0, 0, 0, 16, 0, 0, -240, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -160, 0, 0, 648, 0, 0, 0, 0, 0, 192, 0, 0, 248, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 144, 0, 0, 152, 0, 0, 0, 0, 0, -24, 0, 0, -16, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 528, 0, 0, 0, 0, 0, 12, 0, 0, -192, 0, 0, 0, 0, 0, -536, 0, 0, 72, 0, 0, -352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 116, 0, 0, 256, 0, 0, 0, 0, 0, -408, 0, 0, -304, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -240, 0, 0, -112, 0, 0, 0, 0, 0, -208, 0, 0, -224, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, -48, 0, 0, 72, 0, 0, 0, 0, 0, 448, 0, 0, -120, 0, 0, -344, 0, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 38508286
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1187, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 4505386367321450, 'source_is_minimal': True, 'source_label': '1386.2.ba.b.1187.16', 'source_level': 1386, 'target_conrey_index': 1187, 'target_dim': 32, 'target_embedding_index': 16, 'target_hecke_orbit_code': 4505386367321450, 'target_is_minimal': True, 'target_label': '1386.2.ba.b.1187.16', 'target_level': 1386, 'twist_class_label': '1386.2.ba.a.989.1', 'twist_class_level': 1386, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 38508287
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1187, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 4505386367321450, 'source_is_minimal': True, 'source_label': '1386.2.ba.b.1187.16', 'source_level': 1386, 'target_conrey_index': 1187, 'target_dim': 32, 'target_embedding_index': 1, 'target_hecke_orbit_code': 1786739950954, 'target_is_minimal': True, 'target_label': '1386.2.ba.a.1187.1', 'target_level': 1386, 'twist_class_label': '1386.2.ba.a.989.1', 'twist_class_level': 1386, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 38508288
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1187, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 4505386367321450, 'source_is_minimal': True, 'source_label': '1386.2.ba.b.1187.16', 'source_level': 1386, 'target_conrey_index': 989, 'target_dim': 32, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4505386367321450, 'target_is_minimal': True, 'target_label': '1386.2.ba.b.989.1', 'target_level': 1386, 'twist_class_label': '1386.2.ba.a.989.1', 'twist_class_level': 1386, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 38508289
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1187, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 4505386367321450, 'source_is_minimal': True, 'source_label': '1386.2.ba.b.1187.16', 'source_level': 1386, 'target_conrey_index': 1187, 'target_dim': 32, 'target_embedding_index': 16, 'target_hecke_orbit_code': 1786739950954, 'target_is_minimal': True, 'target_label': '1386.2.ba.a.1187.16', 'target_level': 1386, 'twist_class_label': '1386.2.ba.a.989.1', 'twist_class_level': 1386, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 2}
  • id: 38508290
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1187, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 4505386367321450, 'source_is_minimal': True, 'source_label': '1386.2.ba.b.1187.16', 'source_level': 1386, 'target_conrey_index': 989, 'target_dim': 32, 'target_embedding_index': 16, 'target_hecke_orbit_code': 1786739950954, 'target_is_minimal': True, 'target_label': '1386.2.ba.a.989.16', 'target_level': 1386, 'twist_class_label': '1386.2.ba.a.989.1', 'twist_class_level': 1386, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 38508291
    {'conductor': 33, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1187, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 4505386367321450, 'source_is_minimal': True, 'source_label': '1386.2.ba.b.1187.16', 'source_level': 1386, 'target_conrey_index': 1187, 'target_dim': 32, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4505386367321450, 'target_is_minimal': True, 'target_label': '1386.2.ba.b.1187.1', 'target_level': 1386, 'twist_class_label': '1386.2.ba.a.989.1', 'twist_class_level': 1386, 'twisting_char_label': '33.32', 'twisting_conrey_index': 32, 'weight': 2}
  • id: 38508292
    {'conductor': 77, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1187, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 4505386367321450, 'source_is_minimal': True, 'source_label': '1386.2.ba.b.1187.16', 'source_level': 1386, 'target_conrey_index': 989, 'target_dim': 32, 'target_embedding_index': 1, 'target_hecke_orbit_code': 1786739950954, 'target_is_minimal': True, 'target_label': '1386.2.ba.a.989.1', 'target_level': 1386, 'twist_class_label': '1386.2.ba.a.989.1', 'twist_class_level': 1386, 'twisting_char_label': '77.65', 'twisting_conrey_index': 65, 'weight': 2}
  • id: 38508293
    {'conductor': 231, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1187, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 4505386367321450, 'source_is_minimal': True, 'source_label': '1386.2.ba.b.1187.16', 'source_level': 1386, 'target_conrey_index': 989, 'target_dim': 32, 'target_embedding_index': 16, 'target_hecke_orbit_code': 4505386367321450, 'target_is_minimal': True, 'target_label': '1386.2.ba.b.989.16', 'target_level': 1386, 'twist_class_label': '1386.2.ba.a.989.1', 'twist_class_level': 1386, 'twisting_char_label': '231.65', 'twisting_conrey_index': 65, 'weight': 2}
• hecke_orbit_code 4505386367321450 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': 27, 'hecke_orbit': 2, 'label': '1386.2.ba.b', 'level': 1386, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25085833
    {'hecke_orbit_code': 4505386367321450, 'n': 1, 'trace_an': 32}
  • id: 25085834
    {'hecke_orbit_code': 4505386367321450, 'n': 2, 'trace_an': 16}
  • id: 25085835
    {'hecke_orbit_code': 4505386367321450, 'n': 3, 'trace_an': 0}
  • id: 25085836
    {'hecke_orbit_code': 4505386367321450, 'n': 4, 'trace_an': -16}
  • id: 25085837
    {'hecke_orbit_code': 4505386367321450, 'n': 5, 'trace_an': 0}
  • id: 25085838
    {'hecke_orbit_code': 4505386367321450, 'n': 6, 'trace_an': 0}
  • id: 25085839
    {'hecke_orbit_code': 4505386367321450, 'n': 7, 'trace_an': 0}
  • id: 25085840
    {'hecke_orbit_code': 4505386367321450, 'n': 8, 'trace_an': -32}
  • id: 25085841
    {'hecke_orbit_code': 4505386367321450, 'n': 9, 'trace_an': 0}
  • id: 25085842
    {'hecke_orbit_code': 4505386367321450, 'n': 10, 'trace_an': 0}
  • id: 25085843
    {'hecke_orbit_code': 4505386367321450, 'n': 11, 'trace_an': 2}
  • id: 25085844
    {'hecke_orbit_code': 4505386367321450, 'n': 12, 'trace_an': 0}
  • id: 25085845
    {'hecke_orbit_code': 4505386367321450, 'n': 13, 'trace_an': 0}
  • id: 25085846
    {'hecke_orbit_code': 4505386367321450, 'n': 14, 'trace_an': 0}
  • id: 25085847
    {'hecke_orbit_code': 4505386367321450, 'n': 15, 'trace_an': 0}
  • id: 25085848
    {'hecke_orbit_code': 4505386367321450, 'n': 16, 'trace_an': -16}
  • id: 25085849
    {'hecke_orbit_code': 4505386367321450, 'n': 17, 'trace_an': 4}
  • id: 25085850
    {'hecke_orbit_code': 4505386367321450, 'n': 18, 'trace_an': 0}
  • id: 25085851
    {'hecke_orbit_code': 4505386367321450, 'n': 19, 'trace_an': 0}
  • id: 25085852
    {'hecke_orbit_code': 4505386367321450, 'n': 20, 'trace_an': 0}
  • id: 25085853
    {'hecke_orbit_code': 4505386367321450, 'n': 21, 'trace_an': 0}
  • id: 25085854
    {'hecke_orbit_code': 4505386367321450, 'n': 22, 'trace_an': 4}
  • id: 25085855
    {'hecke_orbit_code': 4505386367321450, 'n': 23, 'trace_an': 0}
  • id: 25085856
    {'hecke_orbit_code': 4505386367321450, 'n': 24, 'trace_an': 0}
  • id: 25085857
    {'hecke_orbit_code': 4505386367321450, 'n': 25, 'trace_an': 4}
  • id: 25085858
    {'hecke_orbit_code': 4505386367321450, 'n': 26, 'trace_an': 0}
  • id: 25085859
    {'hecke_orbit_code': 4505386367321450, 'n': 27, 'trace_an': 0}
  • id: 25085860
    {'hecke_orbit_code': 4505386367321450, 'n': 28, 'trace_an': 0}
  • id: 25085861
    {'hecke_orbit_code': 4505386367321450, 'n': 29, 'trace_an': 16}
  • id: 25085862
    {'hecke_orbit_code': 4505386367321450, 'n': 30, 'trace_an': 0}
  • id: 25085863
    {'hecke_orbit_code': 4505386367321450, 'n': 31, 'trace_an': 4}
  • id: 25085864
    {'hecke_orbit_code': 4505386367321450, 'n': 32, 'trace_an': 16}
  • id: 25085865
    {'hecke_orbit_code': 4505386367321450, 'n': 33, 'trace_an': 0}
  • id: 25085866
    {'hecke_orbit_code': 4505386367321450, 'n': 34, 'trace_an': 8}
  • id: 25085867
    {'hecke_orbit_code': 4505386367321450, 'n': 35, 'trace_an': 16}
  • id: 25085868
    {'hecke_orbit_code': 4505386367321450, 'n': 36, 'trace_an': 0}
  • id: 25085869
    {'hecke_orbit_code': 4505386367321450, 'n': 37, 'trace_an': 4}
  • id: 25085870
    {'hecke_orbit_code': 4505386367321450, 'n': 38, 'trace_an': 0}
  • id: 25085871
    {'hecke_orbit_code': 4505386367321450, 'n': 39, 'trace_an': 0}
  • id: 25085872
    {'hecke_orbit_code': 4505386367321450, 'n': 40, 'trace_an': 0}
  • id: 25085873
    {'hecke_orbit_code': 4505386367321450, 'n': 41, 'trace_an': -32}
  • id: 25085874
    {'hecke_orbit_code': 4505386367321450, 'n': 42, 'trace_an': 0}
  • id: 25085875
    {'hecke_orbit_code': 4505386367321450, 'n': 43, 'trace_an': 0}
  • id: 25085876
    {'hecke_orbit_code': 4505386367321450, 'n': 44, 'trace_an': 2}
  • id: 25085877
    {'hecke_orbit_code': 4505386367321450, 'n': 45, 'trace_an': 0}
  • id: 25085878
    {'hecke_orbit_code': 4505386367321450, 'n': 46, 'trace_an': 0}
  • id: 25085879
    {'hecke_orbit_code': 4505386367321450, 'n': 47, 'trace_an': 0}
  • id: 25085880
    {'hecke_orbit_code': 4505386367321450, 'n': 48, 'trace_an': 0}
  • id: 25085881
    {'hecke_orbit_code': 4505386367321450, 'n': 49, 'trace_an': 20}
  • id: 25085882
    {'hecke_orbit_code': 4505386367321450, 'n': 50, 'trace_an': 8}
  • id: 25085883
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  • id: 25085884
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  • id: 25085885
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  • id: 25085886
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  • id: 25085887
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  • id: 25085888
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  • id: 25085889
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  • id: 25085890
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  • id: 25085891
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  • id: 25085892
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  • id: 25085893
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  • id: 25085894
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  • id: 25085895
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  • id: 25085896
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  • id: 25085897
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  • id: 25085898
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  • id: 25085899
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  • id: 25085900
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  • id: 25085901
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  • id: 25085902
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  • id: 25085903
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  • id: 25085904
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  • id: 25085905
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  • id: 25085906
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  • id: 25085907
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  • id: 25085908
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  • id: 25085909
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  • id: 25085910
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  • id: 25085911
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  • id: 25085912
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  • id: 25085913
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  • id: 25085914
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  • id: 25085915
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  • id: 25085916
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  • id: 25085917
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  • id: 25085918
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  • id: 25085919
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  • id: 25085920
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  • id: 25085921
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  • id: 25085922
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  • id: 25085923
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  • id: 25085924
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  • id: 25085925
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  • id: 25085926
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  • id: 25085927
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  • id: 25085928
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  • id: 25085929
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  • id: 25085930
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  • id: 25085931
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  • id: 25085932
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  • id: 25085933
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  • id: 25085934
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  • id: 25085935
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  • id: 25085936
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  • id: 25085937
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  • id: 25085938
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  • id: 25085939
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  • id: 25085940
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  • id: 25085941
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  • id: 25085942
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  • id: 25085943
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  • id: 25085944
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  • id: 25085945
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  • id: 25085946
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  • id: 25085947
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  • id: 25085948
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  • id: 25085949
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  • id: 25085950
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  • id: 25085951
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  • id: 25085952
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  • id: 25085953
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  • id: 25085954
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  • id: 25085955
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  • id: 25085956
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  • id: 25085957
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  • id: 25085958
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  • id: 25085959
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  • id: 25085960
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  • id: 25085961
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  • id: 25085962
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  • id: 25085963
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  • id: 25085964
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  • id: 25085965
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  • id: 25085966
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  • id: 25085967
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  • id: 25085968
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  • id: 25085969
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  • id: 25085970
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  • id: 25085971
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  • id: 25085972
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  • id: 25085973
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  • id: 25085974
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  • id: 25085975
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  • id: 25085976
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  • id: 25085977
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  • id: 25085978
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  • id: 25085979
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  • id: 25085980
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  • id: 25085981
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  • id: 25085982
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  • id: 25085983
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  • id: 25085984
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  • id: 25085985
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  • id: 25085986
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  • id: 25085987
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  • id: 25085988
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  • id: 25085989
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  • id: 25085990
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  • id: 25085991
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  • id: 25085992
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  • id: 25085993
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  • id: 25085994
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  • id: 25085995
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  • id: 25085996
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  • id: 25085997
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  • id: 25085998
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  • id: 25085999
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  • id: 25086000
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  • id: 25086001
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  • id: 25086002
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  • id: 25086003
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  • id: 25086004
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  • id: 25086005
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  • id: 25086006
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  • id: 25086007
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  • id: 25086008
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  • id: 25086009
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  • id: 25086010
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  • id: 25086011
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  • id: 25086012
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  • id: 25086013
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  • id: 25086014
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  • id: 25086015
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  • id: 25086016
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  • id: 25086017
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  • id: 25086018
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  • id: 25086019
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  • id: 25086020
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  • id: 25086021
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  • id: 25086022
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  • id: 25086023
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  • id: 25086024
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  • id: 25086025
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  • id: 25086026
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  • id: 25086027
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  • id: 25086028
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  • id: 25086029
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  • id: 25086030
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  • id: 25086031
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  • id: 25086032
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  • id: 25086033
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  • id: 25086034
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  • id: 25086035
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  • id: 25086036
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  • id: 25086037
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  • id: 25086038
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  • id: 25086039
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  • id: 25086040
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  • id: 25086041
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  • id: 25086042
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  • id: 25086043
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  • id: 25086044
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  • id: 25086045
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  • id: 25086046
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  • id: 25086047
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  • id: 25086048
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  • id: 25086049
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  • id: 25086050
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  • id: 25086051
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  • id: 25086052
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  • id: 25086053
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  • id: 25086054
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  • id: 25086055
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  • id: 25086056
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  • id: 25086057
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  • id: 25086058
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  • id: 25086059
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  • id: 25086060
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  • id: 25086061
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  • id: 25086062
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  • id: 25086063
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  • id: 25086064
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  • id: 25086065
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  • id: 25086066
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  • id: 25086067
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  • id: 25086068
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  • id: 25086069
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  • id: 25086070
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  • id: 25086071
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  • id: 25086072
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  • id: 25086073
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  • id: 25086074
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  • id: 25086075
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  • id: 25086076
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  • id: 25086077
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  • id: 25086078
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  • id: 25086079
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  • id: 25086080
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  • id: 25086081
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  • id: 25086082
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  • id: 25086083
    {'hecke_orbit_code': 4505386367321450, 'n': 953, 'trace_an': -32}
  • id: 25086084
    {'hecke_orbit_code': 4505386367321450, 'n': 961, 'trace_an': -28}
  • id: 25086085
    {'hecke_orbit_code': 4505386367321450, 'n': 967, 'trace_an': 0}
  • id: 25086086
    {'hecke_orbit_code': 4505386367321450, 'n': 971, 'trace_an': 0}
  • id: 25086087
    {'hecke_orbit_code': 4505386367321450, 'n': 977, 'trace_an': 0}
  • id: 25086088
    {'hecke_orbit_code': 4505386367321450, 'n': 983, 'trace_an': 0}
  • id: 25086089
    {'hecke_orbit_code': 4505386367321450, 'n': 991, 'trace_an': -60}
  • id: 25086090
    {'hecke_orbit_code': 4505386367321450, 'n': 997, 'trace_an': 0}