Embedded newform data - 2380.2.cb.b.1801.41

Formats: - HTML - YAML - JSON - 2025-10-25T19:49:30.944986

• 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': 9520, 'analytic_conductor': 19.004395681064732, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 119, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 54, 'char_orbit_label': 'cb', 'char_order': 6, 'char_parity': 1, 'char_values': [2380, 6, [1191, 477, 1361, 1261], [6, 6, 4, 3]], 'cm_discs': [], 'conrey_index': 781, 'dim': 92, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [43046721, 0, -204467141781, 0, 903880770395535, 0, -317884742310821706, 0, 100852664193132117669, 0, -1399125346195327641423, 0, 11335639976953458912711, 0, -60714872476522043908752, 0, 239015507037965030203785, 0, -716365397380335930368829, 0, 1696062100497432448982427, 0, -3259217526317748819701514, 0, 5198799502632611981947509, 0, -7004089438840513217020419, 0, 8082048637570350139746831, 0, -8076670130991074231850660, 0, 7053413430038403649753737, 0, -5422525410178839922905873, 0, 3691926800649450491719099, 0, -2237192408983858980400518, 0, 1211520301113195019592829, 0, -588304026120640233485527, 0, 256877131410029066974255, 0, -101085216652165402242068, 0, 35915616063711261117519, 0, -11538142453613894852363, 0, 3355166709433632201097, 0, -883770956170139808498, 0, 210956200980017369931, 0, -45635783438653898865, 0, 8944580895706784761, 0, -1587330254899408012, 0, 254770429307224375, 0, -36923677196306363, 0, 4821399244314949, 0, -565551496612978, 0, 59364575631643, 0, -5548318015469, 0, 458717503593, 0, -33263377168, 0, 2091627271, 0, -112289343, 0, 5034613, 0, -182382, 0, 5059, 0, -97, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4507241793194316, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 0], [1, 1, 17, 2, 1, 2, 0], [1, 1, 119, 10, 1, 6, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2380.2.cb.b', 'level': 2380, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 7, 17], 'level_radical': 1190, 'minimal_twist': '2380.2.cb.b', 'prim_orbit_index': 10, 'related_objects': [], 'relative_dim': 46, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2380.2.cb', 'trace_display': [0, 0, 0, 0], 'traces': [92, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, -24, 0, 12, 0, 4, 0, 0, 0, -24, 0, 0, 0, 46, 0, 0, 0, 0, 0, 0, 0, -24, 0, 14, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 16, 0, 38, 0, -22, 0, -8, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 16, 0, -36, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -86, 0, 8, 0, -20, 0, 20, 0, 2, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, -32, 0, 4, 0, 0, 0, 0, 0, 0, 0, 124, 0, 0, 0, 26, 0, -12, 0, 68, 0, -22, 0, -64, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -30, 0, -32, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 26, 0, 12, 0, -80, 0, 24, 0, 20, 0, 0, 0, -254, 0, 0, 0, 0, 0, 0, 0, 196, 0, 52, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 104, 0, -54, 0, 8, 0, 78, 0, 40, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, -28, 0, -8, 0, 0, 0, 0, 0, 0, 0, -156, 0, 0, 0, 12, 0, -62, 0, 56, 0, -80, 0, 112, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, -104, 0, 124, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, -292, 0, -256, 0, 20, 0, -220, 0, -66, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, -114, 0, 176, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 120, 0, -26, 0, -62, 0, -8, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, -4, 0, 56, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -108, 0, 236, 0, -152, 0, -12, 0, -84, 0, 0, 0, 62, 0, 0, 0, 0, 0, 0, 0, -140, 0, -20, 0, 0, 0, 0, 0, 0, 0, 236, 0, 0, 0, 16, 0, -40, 0, 200, 0, 2, 0, -78, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 28, 0, 6, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, -24, 0, 34, 0, 244, 0, 176, 0, 88, 0, 0, 0, -228, 0, 0, 0, 0, 0, 0, 0, 176, 0, 34, 0, 0, 0, 0, 0, 0, 0, 248, 0, 0, 0, -84, 0, -276, 0, -4, 0, 36, 0, 176, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 228, 0, -16, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, -52, 0, -84, 0, 50, 0, 268, 0, 232, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, -94, 0, 0, 0, 44, 0, -164, 0, -60, 0, -80, 0, -220, 0, 0, 0, -78, 0, 0, 0, 0, 0, 0, 0, -54, 0, -360, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, -28, 0, -6, 0, -92, 0, -68, 0, -64, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 28, 0, -8, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 116, 0, 160, 0, 56, 0, -32, 0, 76, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, -76, 0, 40, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 278, 0, -144, 0, 4, 0, 0, 0, -210, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, -160, 0, 64, 0, 0, 0, 0, 0, 0, 0, -62, 0, 0, 0, -46, 0, 168, 0, -76, 0, -36, 0, 412, 0, 0, 0, -356, 0, 0, 0, 0, 0, 0, 0, -48, 0, 84, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 120, 0, -114, 0, 156, 0, -100, 0, 196, 0, 0, 0, -472, 0, 0, 0, 0, 0, 0, 0, 74, 0, 250, 0, 0, 0, 0, 0, 0, 0, -248, 0, 0, 0, -652, 0, -12, 0, 56, 0, -332, 0, 292, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -88, 0, -112, 0, 0, 0, 0, 0, 0, 0, -296, 0, 0, 0, -696, 0, -628, 0, -92, 0, -132, 0, -22, 0, 0, 0, -142, 0, 0, 0, 0, 0, 0, 0, -184, 0, -86, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 134, 0, -24, 0, -8, 0, -212, 0, -116, 0, 0, 0, 172, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 84, 0, 360, 0, -16, 0, -148, 0, 132, 0, 0, 0, 296, 0, 0, 0, 0, 0, 0, 0, 22, 0, -128, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -54, 0, 48, 0, 240, 0, 26, 0, 216, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -18, 0, 150, 0, 0, 0, 0, 0, 0, 0, -142, 0, 0, 0, 188, 0, 32, 0, 656, 0, 184, 0, -16, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 344, 0, 18, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 152, 0, -412, 0, -160, 0, -52, 0, -56, 0, 0, 0, -976, 0, 0, 0, 0, 0, 0, 0, 280, 0, 260, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, -72, 0, -328, 0, -72, 0, 440, 0, 400, 0, 0, 0, 204, 0, 0, 0, 0, 0, 0, 0, 568, 0, -136, 0, 0, 0, 0, 0, 0, 0, 62, 0, 0, 0, -296, 0, -384, 0, -300, 0, -34, 0, -148, 0, 0, 0, -356, 0, 0, 0, 0, 0, 0, 0, 26, 0, -540, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, -170, 0, 596, 0, -112, 0, -40, 0, -152, 0, 0, 0, 350, 0, 0, 0, 0, 0, 0, 0, 120, 0, 92, 0, 0, 0, 0, 0, 0, 0, 210, 0, 0, 0, 0, 0, 112, 0, 72, 0, -18, 0, 38, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 40, 0, 4, 0, 0, 0, 0, 0, 0, 0, 960, 0, 0, 0, 192, 0, 26, 0, 168, 0, 224, 0, -32, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -264, 0, 156, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 220, 0, 184, 0, 72, 0, -1064, 0, 350, 0, 0, 0, -508, 0, 0, 0, 0, 0, 0, 0, -512, 0, -16, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 180, 0, -272, 0, 128, 0, -166, 0, 464, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 28, 0, 164, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, -394, 0, -454, 0, 116, 0, 32, 0, 816, 0, 0, 0, 166, 0, 0, 0, 0, 0, 0, 0, 448, 0, 1048, 0, 0, 0, 0, 0, 0, 0, -180, 0, 0, 0, -248, 0, 0, 0, -268, 0, 164, 0, -468, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 128, 0, -2, 0, 0, 0, 0, 0, 0, 0, -536, 0, 0, 0, 40, 0, 130, 0, -30, 0, 416, 0, -384, 0, 0, 0, 504, 0, 0, 0, 0, 0, 0, 0, 140, 0, 180, 0, 0, 0, 0, 0, 0, 0, 300, 0, 0, 0, -56, 0, 304, 0, -44, 0, -216, 0, -218, 0, 0, 0, 172, 0, 0, 0, 0, 0, 0, 0, -330, 0, 584, 0, 0, 0, 0, 0, 0, 0, 316, 0, 0, 0, -24, 0, -108, 0, 296, 0, -232, 0, -324, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 8, 0, 72, 0, 0, 0, 0, 0, 0, 0, 250, 0, 0, 0, 252, 0, -108, 0, -160, 0, 200, 0, 460, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -488, 0, -194, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 512, 0, 0, 0, -304, 0, -114, 0, 96, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 224, 0, -28, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, -536, 0, -358, 0, 12, 0, -352, 0, -84, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, -136, 0, 444, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 288, 0, 672, 0, -40, 0, 224, 0, -424, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 2, 0, -12, 0, 0, 0, 0, 0, 0, 0, -848, 0, 0, 0, -18, 0, 872, 0, -408, 0, 72, 0, -944, 0, 0, 0, 408, 0, 0, 0, 0, 0, 0, 0, 128, 0, 776, 0, 0, 0, 0, 0, 0, 0, 228, 0, 0, 0, -376, 0, 72, 0, -312, 0, -140, 0, 192, 0, 0, 0, 492, 0, 0, 0, 0, 0, 0, 0, -156, 0, -488, 0, 0, 0, 0, 0, 0, 0, 1408, 0, 0, 0, -196, 0, -128, 0, 248, 0, -234, 0, 128, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, -72, 0, -104, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 32, 0, 58, 0, 664, 0, 280, 0, 124, 0, 0, 0, -276, 0, 0, 0, 0, 0, 0, 0, -520, 0, 228, 0, 0, 0, 0, 0, 0, 0, 164, 0, 0, 0, -864, 0, -596, 0, 0, 0, -108, 0, 512, 0, 0, 0, -1304, 0, 0, 0, 0, 0, 0, 0, -286, 0, -140, 0, 0, 0, 0, 0, 0, 0, -494, 0, 0, 0, -224, 0, -500, 0, 242, 0, -536, 0, -736, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 24, 0, 752, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -12, 0, -1276, 0, 180, 0, -226, 0, -176, 0, 0, 0, -172, 0, 0, 0, 0, 0, 0, 0, -2, 0, -80, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, -880, 0, 34, 0, 0, 0, 636, 0, 256, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 232, 0, -28, 0, 0, 0, 0, 0, 0, 0, 1012, 0, 0, 0, 32, 0, 48, 0, 136, 0, -164, 0, 288, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, -552, 0, 152, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 452, 0, -440, 0, 176, 0, 184, 0, -218, 0, 0, 0, 280, 0, 0, 0, 0, 0, 0, 0, 38, 0, -136, 0, 0, 0, 0, 0, 0, 0, -78, 0, 0, 0, 162, 0, -392, 0, -100, 0, 124, 0, 368, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, 168, 0, -84, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, 100, 0, -548, 0, 180, 0, -92, 0, 348, 0, 0, 0, -952, 0, 0, 0, 0, 0, 0, 0, 506, 0, 480, 0, 0, 0, 0, 0, 0, 0, -150, 0, 0, 0, -1004, 0, -44, 0, -276, 0, -124, 0, 1040, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 1160, 0, -400, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -1088, 0, -160, 0, -352, 0, -48, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, 0, 0, 300, 0, -96, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 442, 0, 328, 0, 32, 0, -236, 0, -32, 0, 0, 0, 564, 0, 0, 0, 0, 0, 0, 0, -102, 0, -1128, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 116, 0, 392, 0, 56, 0, 20, 0, 520, 0, 0, 0, 396, 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], [0.0, 0.0], [1.327563946150716, -0.7664694016765577], [0.0, 0.0], [0.3872983346207417, 0.22360679774997896], [0.0, 0.0], [-0.9634822633483066, -0.2677721572778328], [0.0, 0.0], [0.674950687412841, -1.16904888320258], [0.0, 0.0], [-0.5918061073173881, 0.3416794153677586], [0.0, 0.0], [1.4403256395017257, 0.0], [0.0, 0.0], [0.6855510739289498, 0.0], [0.0, 0.0], [-0.4882633448310954, -0.8726963424320918], [0.0, 0.0], [0.6301385941846755, -1.0914320609378843], [0.0, 0.0], [-1.484323480751283, 0.3829950121295023], [0.0, 0.0], [1.5470235825026302, 0.8931744818005928], [0.0, 0.0], [0.1, 0.17320508075688773], [0.0, 0.0], [0.0, -0.536377394816891], [0.0, 0.0], [0.0, -1.2580065213236158], [0.0, 0.0], [0.3590582043840216, -0.20730235095585853], [0.0, 0.0], [-0.523773634124244, 0.9072025459681825], [0.0, 0.0], [-0.3132794014159221, -0.31914889416772474], [0.0, 0.0], [0.3036449931118572, 0.17530951851121285], [0.0, 0.0], [1.9121243897189646, -1.1039655311282932], 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-0.002176965148977734], [0.0, 0.0], [0.004188054442601572, -0.0010806296490245822], [0.0, 0.0], [0.6596197412885929, 0.3808316351957604], [0.0, 0.0], [0.3787263861608695, 0.6559733429975765], [0.0, 0.0], [1.3523559388537376, 0.0], [0.0, 0.0], [-1.944120386361664, -0.026247454890123388], [0.0, 0.0], [-0.18739721811379093, -0.32458150297015265], [0.0, 0.0], [-0.5805005989959449, 1.0054565312851433], [0.0, 0.0], [-0.6165726225878878, 0.6052331863392457], [0.0, 0.0], [0.6006886326274997, -1.0404232312399055], [0.0, 0.0], [0.9518274153986446, -0.5495378145024732], [0.0, 0.0]], 'angles': [None, -0.19433918273100784, None, None, -0.38883118388957566, -0.12203354229593846, None, -0.30816569860021764, 0.009096950035565083, -0.3917316023880904, -0.3000991394728524, -0.1386203592500027, -0.4789869490078845, -0.3760345982990983, -0.3735772072516985, -0.48556407942470803, -0.16344946783491782, -0.12864177430493864, -0.05191831479592699, 0.061815668118765175, -0.25409458693466463, -0.2078570674598335, -0.3443699195010633, -0.31979230569977096, 0.023992130710857387, -0.4638795769510851, -0.24491160893381056, -0.05028857717362719, -0.4312027382454286, -0.45941910401511477, -0.3368253533274903, -0.04507995410328177, 0.052620494004130644, 0.1370539208636498, -0.3239329696112334, 0.061556946443485173, -0.01689330323798629, -0.1287943664687792, -0.44210175803031454, -0.32104809071618706, 0.05161371231808883, 0.04421141267379171, 0.2482348585919914, -0.3515323240075401, 0.16678307132981418, -0.4242537647324683, 0.07990107058775897, -0.35633399193852316, -0.4635318064447207, -0.275495233646279, -0.12884490751425207, -0.3385889583809814, -0.3660085638029423, -0.09741262045174924, -0.35363266244558467, -0.05301709880876368, -0.28622494044179503, -0.43027941402359154, -0.2417923675202001, -0.2966690012664952, -0.3336775239711973, -0.2038353994248845, -0.3503619996384219, -0.3240693370756152, -0.2505148512157084, -0.22528086349225093, -0.48870905739865145, -0.4969434034052816, -0.29429612363391244, -0.18584744086850774, -0.08487919816429804, -0.26893349902517405, -0.2570108152990128, -0.37480230639239087, 0.15548271330961075, 0.17534745830602894, -0.07906605722051332, -0.005912363715163309, -0.15582092287646285, 0.006722989326339537, -0.40226760527822203, -0.30780724590579084, -0.3706725017261727, -0.19358655900741484, -0.09765608869019048, -0.3840153520145718, 0.05453807161836807, -0.3947513542364467, -0.25256985561053014, -0.23322481224176106, -0.35420435873629685, -0.4153462944607975, -0.4449713582968964, -0.28747686901415104, -0.26728486022417464, 0.06356046064588698, 0.17053388571027434, -0.44864073742644545, -0.41473263894108064, -0.29212088834129046, 0.03012021796784949, -0.48676030801013676, -0.08400229508025803, -0.4420050596343018, -0.37194100590293816, -0.0557482657244108, -0.43490287134792166, -0.41199422066453284, -0.4610004904551981, -0.31509313990693305, -0.03354689679378835, -0.11597055488239418, -0.4769373241985513, -0.4894983058800785, -0.12676903662318306, -0.3973712117940563, 0.024475782220628656, -0.16203232997441747, -0.09666979584919543, -0.3105002792749718, -0.04337564477710105, -0.4955854441661501, -0.20483161860157856, -0.40099833718004985, -0.10978954488567565, -0.266063881629102, -0.16225911618961802, -0.31917763899902324, -0.1484146629145493, 0.188692169549301, 0.029656915930985725, -0.3638954581339364, -0.10051665796857198, -0.3158240381204991, -0.4234027911314493, -0.2858813610393911, -0.02710814568724785, -0.43359587060934995, -0.03418854120451475, -0.3094736750371292, 0.10748345368918868, -0.21433746488933597, -0.2030628572251838, -0.36592034686897057, -0.13226449436207655, 0.06852824442533134, 0.016261042539257926, -0.30177051629500334, -0.4211350427422891, -0.28639149624597443, 0.007874682868025062, -0.4139395678149187, -0.06844524728275977, -0.261388466156473, -0.43537999724465676, -0.49128187851622007, 0.17311772499360156, -0.09730756807628446, -0.08008805556851864, -0.3442396366227659, -0.16797683541723632, -0.23012932939639297, -0.17402419541129013, 0.18183512488130765, -0.4704157436516546, -0.40502409294416936, -0.2929608625247894, -0.2661224237749787, 0.009704325200172847, -0.14293584805460674, -0.14701199617131286, -0.1259104666555413, -0.16000882426127055, -0.13733577951281464, 0.07340783697591932, 0.1006722609748975, 0.11115343382304523, -0.1396263435725032, -0.2633446651045184, -0.40619674676511497, -0.306875199618476, -0.41201322464678836, -0.41871484166877354, -0.4430833224015711, -0.1527667763015091, -0.09197118610820815, -0.28794481981322706, -0.4352203154970438, -0.012320536477610987, -0.26732750765428165, -0.2426127534467915, -0.40047710920363105, 0.21064142621373222, -0.3461801565606531, -0.2563145055727208, -0.25408519972069127, -0.4554219605563201, -0.3215593636131946, -0.4721274214129798, -0.4593649534209005, 0.3481779564975811, -0.4421252992892413, -0.3918221473584347, -0.08043350734548275, -0.28179945712140103, -0.03130690321140412, -0.4731190574711007, -0.40879259587995587, -0.43124857537610056, -0.1495867978652411, -0.2484125548569606, -0.34732099440032715, -0.4018255697333253, -0.3457243252135191, -0.16659981557933087, -0.017352849752910616, -0.1601804834997489, 0.0053098124307453575, -0.26172765296457773, -0.22720016247663258, -0.34439871153997675, 0.016282601611591424, 0.1992434768482443, -0.18942426607027704, -0.29655821966457857, -0.1327891546793794, -0.0883662939170911, -0.37883289250669266, 0.23194085044003926, -0.24845789585909392, 0.0306524400761451, -0.34084429499893293, -0.25499556540655927, -0.08247698810056288, -0.34871692702724344, -0.03929093176071561, -0.22797210403511023, -0.13641914378151945, 0.04032647648742572, -0.21588510395511362, -0.405077134515677, 0.23546533673821907, -0.4353329329668162, -0.4373152898312223, 0.15109337094192477, 0.0025548052362202507, 0.06803127748150926, -0.3301971913802234, -0.11166613101858608, -0.18076119332510807, -0.341193445178338, -0.1908514774998476, -0.06988700800450874, -0.3813683493209648, -0.11595376644438192, -0.3576398113255903, -0.35967966809281054, -0.3910072747897531, -0.4651976410511639, -0.40063634220997496, -0.22391112104243518, -0.2500728689133982, -0.2943588738461693, -0.3627767011799728, -0.4715978143275524, -0.2691897703021695, -0.2698329755350114, -0.37334648273916454, -0.3635427702405562, 0.09356553132516361, -0.1524479891427176, 0.04574147871112211, -0.07898758082517175, -0.27154285169645076, -0.22711930432031782, -0.32723089060821947, -0.45002197787532977, -0.07179244314440292, -0.27207509303062216, -0.38015635327287767, -0.4185955495853864, -0.41506855899628875, -0.433983899300173, -0.2873289823691977, -0.28495535785699483, -0.44447015634357784, -0.19643077045170212, 0.0370975889780834, -0.007626954351045608, -0.14348175914797565, -0.4359027564315291, -0.24842253814935536, 0.18129857605543395, -0.45396365054453797, -0.4644578422994571, -0.34919199897610503, -0.4179157776068069, -0.42989900303001094, -0.1670131417047334, -0.13181751880134213, 0.1819048883660224, -0.3141132409404439, -0.24073524752746825], 'char_orbit_index': 54, 'conrey_index': 1801, 'dual_conrey_index': 781, 'dual_embedding_index': 41, 'dual_embedding_m': 41, 'embedding_index': 41, 'embedding_m': 87, 'hecke_orbit': 2, 'hecke_orbit_code': 4507241793194316, 'label': '2380.2.cb.b.1801.41', 'level': 2380, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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': 9520, 'analytic_conductor': 19.004395681064732, 'char_conductor': 119, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 54, 'char_orbit_label': 'cb', 'char_order': 6, 'char_parity': 1, 'char_values': [2380, 6, [1191, 477, 1361, 1261], [6, 6, 4, 3]], 'conrey_index': 781, 'cusp_dim': 840, 'dim': 96, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 3642165823820, 'hecke_orbit_dims': [4, 92], 'label': '2380.2.cb', 'level': 2380, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 7, 17], 'level_radical': 1190, 'mf_dim': 888, 'mf_new_dim': 96, 'num_forms': 2, 'prim_orbit_index': 10, 'relative_dim': 48, 'sturm_bound': 864, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, -16, 0, 8, 0, -4, 0, 0, 0, -16, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -16, 0, 4, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 28, 0, 64, 0, -24, 0, -4, 0, -16, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, -88, 0, 24, 0, -16, 0, 24, 0, 20, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, -44, 0, 4, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 8, 0, -20, 0, 60, 0, -12, 0, -68, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -20, 0, -52, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 44, 0, -4, 0, -48, 0, 24, 0, 16, 0, 0, 0, -164, 0, 0, 0, 0, 0, 0, 0, 160, 0, 52, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 88, 0, -36, 0, 0, 0, 88, 0, 40, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -24, 0, -12, 0, 0, 0, 0, 0, 0, 0, -148, 0, 0, 0, 12, 0, -60, 0, 40, 0, -64, 0, 104, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -72, 0, 104, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, -224, 0, -112, 0, 28, 0, -172, 0, -156, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, -128, 0, 192, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 116, 0, -56, 0, -36, 0, -104, 0, 0, 0, 196, 0, 0, 0, 0, 0, 0, 0, 4, 0, -64, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, -92, 0, 208, 0, -152, 0, -8, 0, -64, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -152, 0, -20, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 76, 0, -32, 0, 160, 0, -32, 0, -40, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 52, 0, 4, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, -56, 0, 32, 0, 208, 0, 176, 0, 72, 0, 0, 0, -228, 0, 0, 0, 0, 0, 0, 0, 32, 0, 84, 0, 0, 0, 0, 0, 0, 0, 236, 0, 0, 0, 8, 0, -252, 0, 4, 0, -4, 0, 192, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 220, 0, -76, 0, 0, 0, 0, 0, 0, 0, -124, 0, 0, 0, -72, 0, -148, 0, 40, 0, 248, 0, 144, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 128, 0, -160, 0, -64, 0, -64, 0, -212, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, 8, 0, -352, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, -48, 0, 4, 0, -92, 0, 48, 0, -40, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 72, 0, -48, 0, 0, 0, 0, 0, 0, 0, 260, 0, 0, 0, 48, 0, 224, 0, -8, 0, -36, 0, 64, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, -84, 0, 12, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 320, 0, -172, 0, 12, 0, 36, 0, -204, 0, 0, 0, 344, 0, 0, 0, 0, 0, 0, 0, -136, 0, -16, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, -48, 0, 168, 0, -40, 0, -144, 0, 436, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, -80, 0, 8, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 72, 0, -116, 0, 152, 0, -100, 0, 160, 0, 0, 0, -536, 0, 0, 0, 0, 0, 0, 0, 100, 0, 216, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, -636, 0, -24, 0, 60, 0, -248, 0, 208, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -88, 0, -144, 0, 0, 0, 0, 0, 0, 0, -316, 0, 0, 0, -488, 0, -680, 0, -156, 0, -104, 0, -48, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, -200, 0, -156, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 140, 0, 56, 0, -12, 0, -224, 0, -184, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 196, 0, 0, 0, 80, 0, 512, 0, -112, 0, -112, 0, 140, 0, 0, 0, 344, 0, 0, 0, 0, 0, 0, 0, -20, 0, -128, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -28, 0, 20, 0, 152, 0, 12, 0, 216, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -28, 0, -12, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 176, 0, 68, 0, 688, 0, 312, 0, -8, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 296, 0, 24, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 224, 0, -412, 0, -144, 0, 12, 0, -12, 0, 0, 0, -928, 0, 0, 0, 0, 0, 0, 0, 280, 0, 212, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, -72, 0, -328, 0, -40, 0, 384, 0, 392, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 528, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, -192, 0, -300, 0, 76, 0, -160, 0, 0, 0, -296, 0, 0, 0, 0, 0, 0, 0, 68, 0, -552, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, -80, 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: 39659870
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1801, 'source_dim': 92, 'source_embedding_index': 41, 'source_hecke_orbit_code': 4507241793194316, 'source_is_minimal': True, 'source_label': '2380.2.cb.b.1801.41', 'source_level': 2380, 'target_conrey_index': 1801, 'target_dim': 92, 'target_embedding_index': 41, 'target_hecke_orbit_code': 4507241793194316, 'target_is_minimal': True, 'target_label': '2380.2.cb.b.1801.41', 'target_level': 2380, 'twist_class_label': '2380.2.cb.b.781.6', 'twist_class_level': 2380, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 39659871
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1801, 'source_dim': 92, 'source_embedding_index': 41, 'source_hecke_orbit_code': 4507241793194316, 'source_is_minimal': True, 'source_label': '2380.2.cb.b.1801.41', 'source_level': 2380, 'target_conrey_index': 781, 'target_dim': 92, 'target_embedding_index': 6, 'target_hecke_orbit_code': 4507241793194316, 'target_is_minimal': True, 'target_label': '2380.2.cb.b.781.6', 'target_level': 2380, 'twist_class_label': '2380.2.cb.b.781.6', 'twist_class_level': 2380, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 39659872
    {'conductor': 17, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1801, 'source_dim': 92, 'source_embedding_index': 41, 'source_hecke_orbit_code': 4507241793194316, 'source_is_minimal': True, 'source_label': '2380.2.cb.b.1801.41', 'source_level': 2380, 'target_conrey_index': 1801, 'target_dim': 92, 'target_embedding_index': 6, 'target_hecke_orbit_code': 4507241793194316, 'target_is_minimal': True, 'target_label': '2380.2.cb.b.1801.6', 'target_level': 2380, 'twist_class_label': '2380.2.cb.b.781.6', 'twist_class_level': 2380, 'twisting_char_label': '17.16', 'twisting_conrey_index': 16, 'weight': 2}
  • id: 39659873
    {'conductor': 119, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1801, 'source_dim': 92, 'source_embedding_index': 41, 'source_hecke_orbit_code': 4507241793194316, 'source_is_minimal': True, 'source_label': '2380.2.cb.b.1801.41', 'source_level': 2380, 'target_conrey_index': 781, 'target_dim': 92, 'target_embedding_index': 41, 'target_hecke_orbit_code': 4507241793194316, 'target_is_minimal': True, 'target_label': '2380.2.cb.b.781.41', 'target_level': 2380, 'twist_class_label': '2380.2.cb.b.781.6', 'twist_class_level': 2380, 'twisting_char_label': '119.67', 'twisting_conrey_index': 67, 'weight': 2}
• hecke_orbit_code 4507241793194316 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': 54, 'hecke_orbit': 2, 'label': '2380.2.cb.b', 'level': 2380, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25664011
    {'hecke_orbit_code': 4507241793194316, 'n': 1, 'trace_an': 92}
  • id: 25664012
    {'hecke_orbit_code': 4507241793194316, 'n': 2, 'trace_an': 0}
  • id: 25664013
    {'hecke_orbit_code': 4507241793194316, 'n': 3, 'trace_an': 0}
  • id: 25664014
    {'hecke_orbit_code': 4507241793194316, 'n': 4, 'trace_an': 0}
  • id: 25664015
    {'hecke_orbit_code': 4507241793194316, 'n': 5, 'trace_an': 0}
  • id: 25664016
    {'hecke_orbit_code': 4507241793194316, 'n': 6, 'trace_an': 0}
  • id: 25664017
    {'hecke_orbit_code': 4507241793194316, 'n': 7, 'trace_an': 0}
  • id: 25664018
    {'hecke_orbit_code': 4507241793194316, 'n': 8, 'trace_an': 0}
  • id: 25664019
    {'hecke_orbit_code': 4507241793194316, 'n': 9, 'trace_an': 56}
  • id: 25664020
    {'hecke_orbit_code': 4507241793194316, 'n': 10, 'trace_an': 0}
  • id: 25664021
    {'hecke_orbit_code': 4507241793194316, 'n': 11, 'trace_an': 0}
  • id: 25664022
    {'hecke_orbit_code': 4507241793194316, 'n': 12, 'trace_an': 0}
  • id: 25664023
    {'hecke_orbit_code': 4507241793194316, 'n': 13, 'trace_an': -24}
  • id: 25664024
    {'hecke_orbit_code': 4507241793194316, 'n': 14, 'trace_an': 0}
  • id: 25664025
    {'hecke_orbit_code': 4507241793194316, 'n': 15, 'trace_an': 12}
  • id: 25664026
    {'hecke_orbit_code': 4507241793194316, 'n': 16, 'trace_an': 0}
  • id: 25664027
    {'hecke_orbit_code': 4507241793194316, 'n': 17, 'trace_an': 4}
  • id: 25664028
    {'hecke_orbit_code': 4507241793194316, 'n': 18, 'trace_an': 0}
  • id: 25664029
    {'hecke_orbit_code': 4507241793194316, 'n': 19, 'trace_an': 0}
  • id: 25664030
    {'hecke_orbit_code': 4507241793194316, 'n': 20, 'trace_an': 0}
  • id: 25664031
    {'hecke_orbit_code': 4507241793194316, 'n': 21, 'trace_an': -24}
  • id: 25664032
    {'hecke_orbit_code': 4507241793194316, 'n': 22, 'trace_an': 0}
  • id: 25664033
    {'hecke_orbit_code': 4507241793194316, 'n': 23, 'trace_an': 0}
  • id: 25664034
    {'hecke_orbit_code': 4507241793194316, 'n': 24, 'trace_an': 0}
  • id: 25664035
    {'hecke_orbit_code': 4507241793194316, 'n': 25, 'trace_an': 46}
  • id: 25664036
    {'hecke_orbit_code': 4507241793194316, 'n': 26, 'trace_an': 0}
  • id: 25664037
    {'hecke_orbit_code': 4507241793194316, 'n': 27, 'trace_an': 0}
  • id: 25664038
    {'hecke_orbit_code': 4507241793194316, 'n': 28, 'trace_an': 0}
  • id: 25664039
    {'hecke_orbit_code': 4507241793194316, 'n': 29, 'trace_an': 0}
  • id: 25664040
    {'hecke_orbit_code': 4507241793194316, 'n': 30, 'trace_an': 0}
  • id: 25664041
    {'hecke_orbit_code': 4507241793194316, 'n': 31, 'trace_an': 0}
  • id: 25664042
    {'hecke_orbit_code': 4507241793194316, 'n': 32, 'trace_an': 0}
  • id: 25664043
    {'hecke_orbit_code': 4507241793194316, 'n': 33, 'trace_an': -24}
  • id: 25664044
    {'hecke_orbit_code': 4507241793194316, 'n': 34, 'trace_an': 0}
  • id: 25664045
    {'hecke_orbit_code': 4507241793194316, 'n': 35, 'trace_an': 14}
  • id: 25664046
    {'hecke_orbit_code': 4507241793194316, 'n': 36, 'trace_an': 0}
  • id: 25664047
    {'hecke_orbit_code': 4507241793194316, 'n': 37, 'trace_an': 0}
  • id: 25664048
    {'hecke_orbit_code': 4507241793194316, 'n': 38, 'trace_an': 0}
  • id: 25664049
    {'hecke_orbit_code': 4507241793194316, 'n': 39, 'trace_an': 0}
  • id: 25664050
    {'hecke_orbit_code': 4507241793194316, 'n': 40, 'trace_an': 0}
  • id: 25664051
    {'hecke_orbit_code': 4507241793194316, 'n': 41, 'trace_an': 0}
  • id: 25664052
    {'hecke_orbit_code': 4507241793194316, 'n': 42, 'trace_an': 0}
  • id: 25664053
    {'hecke_orbit_code': 4507241793194316, 'n': 43, 'trace_an': -64}
  • id: 25664054
    {'hecke_orbit_code': 4507241793194316, 'n': 44, 'trace_an': 0}
  • id: 25664055
    {'hecke_orbit_code': 4507241793194316, 'n': 45, 'trace_an': 0}
  • id: 25664056
    {'hecke_orbit_code': 4507241793194316, 'n': 46, 'trace_an': 0}
  • id: 25664057
    {'hecke_orbit_code': 4507241793194316, 'n': 47, 'trace_an': 16}
  • id: 25664058
    {'hecke_orbit_code': 4507241793194316, 'n': 48, 'trace_an': 0}
  • id: 25664059
    {'hecke_orbit_code': 4507241793194316, 'n': 49, 'trace_an': 38}
  • id: 25664060
    {'hecke_orbit_code': 4507241793194316, 'n': 50, 'trace_an': 0}
  • id: 25664061
    {'hecke_orbit_code': 4507241793194316, 'n': 51, 'trace_an': -22}
  • id: 25664062
    {'hecke_orbit_code': 4507241793194316, 'n': 52, 'trace_an': 0}
  • id: 25664063
    {'hecke_orbit_code': 4507241793194316, 'n': 53, 'trace_an': -8}
  • id: 25664064
    {'hecke_orbit_code': 4507241793194316, 'n': 54, 'trace_an': 0}
  • id: 25664065
    {'hecke_orbit_code': 4507241793194316, 'n': 55, 'trace_an': 0}
  • id: 25664066
    {'hecke_orbit_code': 4507241793194316, 'n': 56, 'trace_an': 0}
  • id: 25664067
    {'hecke_orbit_code': 4507241793194316, 'n': 57, 'trace_an': 0}
  • id: 25664068
    {'hecke_orbit_code': 4507241793194316, 'n': 58, 'trace_an': 0}
  • id: 25664069
    {'hecke_orbit_code': 4507241793194316, 'n': 59, 'trace_an': 18}
  • id: 25664070
    {'hecke_orbit_code': 4507241793194316, 'n': 60, 'trace_an': 0}
  • id: 25664071
    {'hecke_orbit_code': 4507241793194316, 'n': 61, 'trace_an': 0}
  • id: 25664072
    {'hecke_orbit_code': 4507241793194316, 'n': 62, 'trace_an': 0}
  • id: 25664073
    {'hecke_orbit_code': 4507241793194316, 'n': 63, 'trace_an': 0}
  • id: 25664074
    {'hecke_orbit_code': 4507241793194316, 'n': 64, 'trace_an': 0}
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  • id: 25664077
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  • id: 25664078
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  • id: 25664079
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  • id: 25664080
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  • id: 25664081
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  • id: 25664082
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  • id: 25664083
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  • id: 25664084
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  • id: 25664085
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  • id: 25664086
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  • id: 25664087
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  • id: 25664088
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  • id: 25664089
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  • id: 25664090
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  • id: 25664091
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  • id: 25664092
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  • id: 25664093
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  • id: 25664094
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  • id: 25664095
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  • id: 25664096
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  • id: 25664097
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  • id: 25664098
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  • id: 25664099
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  • id: 25664100
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  • id: 25664101
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  • id: 25664102
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  • id: 25664103
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  • id: 25664105
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  • id: 25664108
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  • id: 25664110
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  • id: 25664111
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  • id: 25664112
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  • id: 25664114
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  • id: 25664115
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  • id: 25664116
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  • id: 25664117
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  • id: 25664118
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  • id: 25664119
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  • id: 25664120
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  • id: 25664121
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  • id: 25664122
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  • id: 25664123
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  • id: 25664124
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  • id: 25664125
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  • id: 25664126
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  • id: 25664127
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  • id: 25664128
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  • id: 25664129
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  • id: 25664130
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  • id: 25664131
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  • id: 25664132
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  • id: 25664133
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  • id: 25664134
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  • id: 25664135
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  • id: 25664136
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  • id: 25664137
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  • id: 25664138
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  • id: 25664139
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  • id: 25664140
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  • id: 25664141
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  • id: 25664142
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  • id: 25664143
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  • id: 25664144
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  • id: 25664145
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  • id: 25664146
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  • id: 25664147
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  • id: 25664148
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  • id: 25664149
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  • id: 25664150
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  • id: 25664151
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  • id: 25664152
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  • id: 25664153
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  • id: 25664154
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  • id: 25664155
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  • id: 25664156
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  • id: 25664157
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  • id: 25664158
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  • id: 25664159
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  • id: 25664160
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  • id: 25664161
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  • id: 25664162
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  • id: 25664163
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  • id: 25664164
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  • id: 25664165
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  • id: 25664166
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  • id: 25664167
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  • id: 25664168
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  • id: 25664169
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  • id: 25664170
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  • id: 25664171
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  • id: 25664172
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  • id: 25664173
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  • id: 25664174
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  • id: 25664175
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  • id: 25664176
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  • id: 25664177
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  • id: 25664178
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  • id: 25664179
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  • id: 25664180
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  • id: 25664181
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  • id: 25664182
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  • id: 25664183
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  • id: 25664184
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  • id: 25664185
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  • id: 25664186
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  • id: 25664187
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  • id: 25664188
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  • id: 25664189
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  • id: 25664190
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  • id: 25664191
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  • id: 25664192
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  • id: 25664193
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  • id: 25664194
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  • id: 25664195
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  • id: 25664196
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  • id: 25664197
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  • id: 25664198
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  • id: 25664199
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  • id: 25664200
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  • id: 25664201
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  • id: 25664202
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  • id: 25664203
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  • id: 25664204
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  • id: 25664205
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  • id: 25664206
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  • id: 25664207
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  • id: 25664208
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  • id: 25664209
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  • id: 25664210
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  • id: 25664211
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  • id: 25664212
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  • id: 25664213
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  • id: 25664214
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  • id: 25664215
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  • id: 25664216
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  • id: 25664217
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  • id: 25664218
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  • id: 25664219
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  • id: 25664220
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  • id: 25664221
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  • id: 25664222
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  • id: 25664223
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  • id: 25664224
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  • id: 25664225
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  • id: 25664226
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  • id: 25664227
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  • id: 25664228
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  • id: 25664229
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  • id: 25664230
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  • id: 25664231
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  • id: 25664232
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  • id: 25664233
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  • id: 25664234
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  • id: 25664235
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  • id: 25664236
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  • id: 25664237
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  • id: 25664238
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  • id: 25664239
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  • id: 25664240
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  • id: 25664241
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  • id: 25664242
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  • id: 25664243
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  • id: 25664244
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  • id: 25664245
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  • id: 25664246
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  • id: 25664247
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  • id: 25664248
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  • id: 25664249
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  • id: 25664250
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  • id: 25664251
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  • id: 25664252
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  • id: 25664253
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  • id: 25664254
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  • id: 25664255
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  • id: 25664256
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  • id: 25664257
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  • id: 25664258
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  • id: 25664259
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  • id: 25664260
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  • id: 25664261
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  • id: 25664262
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  • id: 25664263
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  • id: 25664264
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  • id: 25664265
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  • id: 25664266
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  • id: 25664267
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