Embedded newform data - 3150.2.bp.h.899.4

Formats: - HTML - YAML - JSON - 2025-10-03T23:13:28.278025

• 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': 12600, 'analytic_conductor': 25.152876636703322, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 105, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 42, 'char_orbit_label': 'bp', 'char_order': 6, 'char_parity': 1, 'char_values': [3150, 6, [2801, 127, 451], [3, 3, 1]], 'cm_discs': [], 'conrey_index': 899, 'dim': 24, 'has_non_self_twist': 1, 'hecke_cutters': [[11, [1679616, 0, -11757312, 0, 59590080, 0, -136499904, 0, 226614160, 0, -126799808, 0, 50195872, 0, -9697232, 0, 1330444, 0, -77312, 0, 3232, 0, -68, 0, 1]], [13, [1806336, 0, -3581952, 0, 969088, 0, -100896, 0, 4937, 0, -114, 0, 1]], [17, [142884, 598752, 841266, 20592, -139511, -8124, 18092, 2832, -861, -192, 32, 12, 1]]], 'hecke_orbit': 8, 'hecke_orbit_code': 31528014923697230, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 4, -1, 6, 0], [1, 1, 15, 4, -1, 2, 0], [1, 1, 105, 16, 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': '3150.2.bp.h', 'level': 3150, '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, 5, 7], 'level_radical': 210, 'minimal_twist': '3150.2.bf.d', 'prim_orbit_index': 16, 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3150.2.bp', 'trace_display': [12, 0, 0, 0], 'traces': [24, 12, 0, -12, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -12, -24, 0, -12, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -8, 24, 0, 52, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 24, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68, -16, 0, 24, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 64, 32, 0, 4, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 4, -12, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 24, 64, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -4, 12, 0, 8, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, -32, 0, -12, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 120, 32, 0, -32, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -24, -264, 0, -132, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, -12, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 144, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 128, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, -8, 0, 12, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 8, 128, 0, 72, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, -24, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 24, 8, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 24, 24, 0, -52, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 136, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, -128, 0, -228, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 152, 60, 0, -32, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 4, -96, 0, 12, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, -240, 24, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, -88, 216, 0, 196, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -156, 0, 0, -8, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -148, -24, 0, 144, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 64, 64, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, -168, 0, -24, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 68, 192, 0, -208, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, -112, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, -256, 0, -264, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 88, 4, 0, -128, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -40, -144, 0, -432, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -252, -44, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -72, 96, 0, 196, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 16, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, -344, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 344, 48, 0, 24, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, 16, 264, 0, -4, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 108, -24, 0, 168, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, 264, 136, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 16, 96, 0, -20, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 64, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -232, 144, 0, -204, 0, 0, 0, -312, 0, 0, 0, 0, 0, 0, 0, -88, 76, 0, -60, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -32, -192, 0, 24, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, -372, -4, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -136, 504, 0, -20, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, -480, 0, 0, 48, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 148, -176, 0, 216, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, 64, 64, 0, 92, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -60, -156, 0, 12, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 12, -72, 0, 0, 0, 0, 0, -504, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, -136, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 208, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, -260, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132, 64, 0, -252, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, -160, 32, 0, -64, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, 120, 76, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -64, 240, 0, 172, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 136, 0, 192, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 88, 104, 0, 108, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -84, 24, 0, 72, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 360, -168, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 244, -36, 0, -168, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, -176, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, -512, 0, 72, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 136, 44, 0, -4, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, -252, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -60, 40, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, -96, -72, 0, 72, 0, 0, 0, -280, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -472, 0, 204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 304, -144, 0, 96, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -96, 192, 0, 176, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 88, 108, 0, -24, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 120, 192, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 104, 240, 0, -160, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, -72, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 148, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 336, 0, 240, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, -352, 8, 0, -264, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -216, -504, 0, -108, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -36, -108, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, -68, 744, 0, 32, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 272, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, -180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 32, 0, 96, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 32, 24, 0, 260, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 280, 12, 0, 192, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 120, -256, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 8, 36, 0, 48, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 228, 0, 0, 48, 0, 0, 0, 552, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, -128, 0, 60, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 168, -44, 0, -76, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -32, 336, 0, 324, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 144, 32, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -104, -288, 0, 856, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 396, 0, 0, -8, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 352, 0, 316, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, -272, 0, 504, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 448, 128, 0, 160, 0, 0, 0, -464, 0, 0, 0, 0, 0, 0, 0, -188, -480, 0, 240, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 264, -144, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 332, 132, 0, -408, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, -632, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 352, 0, -516, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -112, 32, 0, -64, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 144, 384, 0, -600, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -288, 60, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 4, -72, 0, -188, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, -144, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 436, 96, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, -200, -112, 0, -68, 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], [0.0, 0.0], [0.0, 0.0], [-0.816420573725036, -0.5774577445999691], [-0.3535533905932738, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2958437353629912, 0.7481557294395131], [0.0, 0.0], [-1.5237274539997472, 0.0], [0.06497094358149082, -0.7041155988118221], [0.0, 0.0], [-0.125, -0.21650635094610965], [0.6457193091913441, 0.3728062169825618], [0.0, 0.0], [0.6162606893492275, -0.35579827488676086], [0.0, 0.0], [0.0, 0.0], [0.0, 1.0580519793404954], [-0.6439136927290666, -1.1152912314960377], [0.0, 0.0], [0.0, 0.0], [-0.5387190077016673, -0.9330886923423769], [0.0, 0.0], [0.4541516816490787, -0.2091560423590814], [0.0, -1.2402315173185678], [0.0, 0.0], [-0.1825738852992001, -0.10540908182448903], [0.08838834764831845, -0.15309310892394862], [0.0, 0.0], [0.0, 0.5272276081937457], [0.0, 0.0], [0.0, 0.0], [-1.5245364784546538, 0.8801915462251985], [0.4357621124175352, 0.2515873729069039], 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[0.0, -0.23653021981633965], [0.0, 0.0], [-0.022856029131859197, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.621722432133867, -0.35895161355371696], [1.4346074254704202, -0.8282709832767832], [0.0, 0.0], [0.0, 0.0], [0.0, -1.0762138034007092], [0.0, 0.0], [0.06339845196249548, -0.10980933992025697], [-0.31271747834266134, -0.1805475203014365], [0.0, 0.0], [0.0, -0.571945536145401], [0.5343938356662171, -0.755536012789946], [0.0, 0.0], [-0.20535784273531077, -0.35569021735029754], [0.0, 0.0], [0.0, 0.0], [0.23118301007703893, 0.40042071930013917], [0.0, 1.2665662203541888], [0.0, 0.0], [0.0, 0.0], [0.33199134705176125, -0.19167529358896085], [0.0, 0.0], [-1.059564661223614, -0.6117399423812682], [-0.572768474706829, -0.9920640991659573], [0.0, 0.0], [0.9527262669786161, -0.43877070922477146], [0.9608109032336901, 0.0], [0.0, 0.0], [-0.022821735662400013, -0.01317613522806113], [0.0, 0.0], [0.0, 0.0], [0.0991257072759833, 0.0], [0.024165012398513798, 0.052470781594798954], [0.0, 0.0], [0.0, 0.0], 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-0.3824869204407122, -0.14013956442055195, -0.45017062874801855, -0.4410855181723563, -0.40498775734126435, -0.23635494268452753, -0.24582048870823647, -0.09557829226546542, -0.30154117611511144, -0.15212078063506493, -0.49105183916864775, -0.2512987514056082, 0.08983945144104696, -0.022708732930438555, -0.16008343557656696, -0.38654866164839535, 0.0785485412064016, -0.4689270402989877, -0.03177776730616197, -0.34719548474818157, -0.20926729243475123, -0.21438049908015036, -0.18206833682118814, -0.2993355222208604, -0.14418519839903685, -0.17749493580361553, -0.45894490467106613, -0.2355765718110791, 0.042735274587576165, -0.2858334880015335, -0.24447632150313717, 0.10914656100050683, -0.48626803769959465, -0.24210859375597812, 0.04625695443290671, -0.06590769414398753, 0.2072407014660192], 'char_orbit_index': 42, 'conrey_index': 899, 'dual_conrey_index': 1349, 'dual_embedding_index': 4, 'dual_embedding_m': 16, 'embedding_index': 4, 'embedding_m': 4, 'hecke_orbit': 8, 'hecke_orbit_code': 31528014923697230, 'label': '3150.2.bp.h.899.4', 'level': 3150, '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': 12600, 'analytic_conductor': 25.152876636703322, 'char_conductor': 105, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 42, 'char_orbit_label': 'bp', 'char_order': 6, 'char_parity': 1, 'char_values': [3150, 6, [2801, 127, 451], [3, 3, 1]], 'conrey_index': 899, 'cusp_dim': 1344, 'dim': 96, 'eis_dim': 192, 'eis_new_dim': 0, 'hecke_cutter_primes': [11, 13, 17], 'hecke_orbit_code': 2817532103758, 'hecke_orbit_dims': [8, 8, 8, 8, 8, 8, 24, 24], 'label': '3150.2.bp', 'level': 3150, '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, 5, 7], 'level_radical': 210, 'mf_dim': 1536, 'mf_new_dim': 96, 'num_forms': 8, 'prim_orbit_index': 16, 'relative_dim': 48, 'sturm_bound': 1440, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, -528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 656, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -504, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -664, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, -496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, -544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, -768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 640, 0, 0, -296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 416, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, -504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -496, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, -592, 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: 46438175
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 899, 'target_dim': 24, 'target_embedding_index': 4, 'target_hecke_orbit_code': 31528014923697230, 'target_is_minimal': False, 'target_label': '3150.2.bp.h.899.4', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46438176
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 899, 'target_dim': 24, 'target_embedding_index': 4, 'target_hecke_orbit_code': 27024415296326734, 'target_is_minimal': False, 'target_label': '3150.2.bp.g.899.4', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46438177
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 1151, 'target_dim': 24, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18016528846818382, 'target_is_minimal': True, 'target_label': '3150.2.bf.e.1151.1', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46438178
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 1151, 'target_dim': 24, 'target_embedding_index': 12, 'target_hecke_orbit_code': 13512929219447886, 'target_is_minimal': True, 'target_label': '3150.2.bf.d.1151.12', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46438179
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 899, 'target_dim': 24, 'target_embedding_index': 9, 'target_hecke_orbit_code': 27024415296326734, 'target_is_minimal': False, 'target_label': '3150.2.bp.g.899.9', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46438180
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 1349, 'target_dim': 24, 'target_embedding_index': 9, 'target_hecke_orbit_code': 31528014923697230, 'target_is_minimal': False, 'target_label': '3150.2.bp.h.1349.9', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46438181
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 1151, 'target_dim': 24, 'target_embedding_index': 12, 'target_hecke_orbit_code': 18016528846818382, 'target_is_minimal': True, 'target_label': '3150.2.bf.e.1151.12', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46438182
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 1151, 'target_dim': 24, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13512929219447886, 'target_is_minimal': True, 'target_label': '3150.2.bf.d.1151.1', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 46438183
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 899, 'target_dim': 24, 'target_embedding_index': 9, 'target_hecke_orbit_code': 31528014923697230, 'target_is_minimal': False, 'target_label': '3150.2.bp.h.899.9', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 46438184
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 1349, 'target_dim': 24, 'target_embedding_index': 9, 'target_hecke_orbit_code': 27024415296326734, 'target_is_minimal': False, 'target_label': '3150.2.bp.g.1349.9', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46438185
    {'conductor': 35, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 1601, 'target_dim': 24, 'target_embedding_index': 12, 'target_hecke_orbit_code': 18016528846818382, 'target_is_minimal': True, 'target_label': '3150.2.bf.e.1601.12', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '35.12', 'twisting_conrey_index': 12, 'weight': 2}
  • id: 46438186
    {'conductor': 35, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 1349, 'target_dim': 24, 'target_embedding_index': 4, 'target_hecke_orbit_code': 27024415296326734, 'target_is_minimal': False, 'target_label': '3150.2.bp.g.1349.4', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '35.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 46438187
    {'conductor': 35, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 1601, 'target_dim': 24, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13512929219447886, 'target_is_minimal': True, 'target_label': '3150.2.bf.d.1601.1', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '35.33', 'twisting_conrey_index': 33, 'weight': 2}
  • id: 46438188
    {'conductor': 105, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 1601, 'target_dim': 24, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18016528846818382, 'target_is_minimal': True, 'target_label': '3150.2.bf.e.1601.1', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '105.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 46438189
    {'conductor': 105, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 1601, 'target_dim': 24, 'target_embedding_index': 12, 'target_hecke_orbit_code': 13512929219447886, 'target_is_minimal': True, 'target_label': '3150.2.bf.d.1601.12', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '105.68', 'twisting_conrey_index': 68, 'weight': 2}
  • id: 46438190
    {'conductor': 105, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 899, 'source_dim': 24, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31528014923697230, 'source_is_minimal': False, 'source_label': '3150.2.bp.h.899.4', 'source_level': 3150, 'target_conrey_index': 1349, 'target_dim': 24, 'target_embedding_index': 4, 'target_hecke_orbit_code': 31528014923697230, 'target_is_minimal': False, 'target_label': '3150.2.bp.h.1349.4', 'target_level': 3150, 'twist_class_label': '3150.2.bf.d.1151.1', 'twist_class_level': 3150, 'twisting_char_label': '105.89', 'twisting_conrey_index': 89, 'weight': 2}
• hecke_orbit_code 31528014923697230 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': 42, 'hecke_orbit': 8, 'label': '3150.2.bp.h', 'level': 3150, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 50274631
    {'hecke_orbit_code': 31528014923697230, 'n': 1, 'trace_an': 24}
  • id: 50274632
    {'hecke_orbit_code': 31528014923697230, 'n': 2, 'trace_an': 12}
  • id: 50274633
    {'hecke_orbit_code': 31528014923697230, 'n': 3, 'trace_an': 0}
  • id: 50274634
    {'hecke_orbit_code': 31528014923697230, 'n': 4, 'trace_an': -12}
  • id: 50274635
    {'hecke_orbit_code': 31528014923697230, 'n': 5, 'trace_an': 0}
  • id: 50274636
    {'hecke_orbit_code': 31528014923697230, 'n': 6, 'trace_an': 0}
  • id: 50274637
    {'hecke_orbit_code': 31528014923697230, 'n': 7, 'trace_an': 0}
  • id: 50274638
    {'hecke_orbit_code': 31528014923697230, 'n': 8, 'trace_an': -24}
  • id: 50274639
    {'hecke_orbit_code': 31528014923697230, 'n': 9, 'trace_an': 0}
  • id: 50274640
    {'hecke_orbit_code': 31528014923697230, 'n': 10, 'trace_an': 0}
  • id: 50274641
    {'hecke_orbit_code': 31528014923697230, 'n': 11, 'trace_an': 0}
  • id: 50274642
    {'hecke_orbit_code': 31528014923697230, 'n': 12, 'trace_an': 0}
  • id: 50274643
    {'hecke_orbit_code': 31528014923697230, 'n': 13, 'trace_an': 0}
  • id: 50274644
    {'hecke_orbit_code': 31528014923697230, 'n': 14, 'trace_an': 0}
  • id: 50274645
    {'hecke_orbit_code': 31528014923697230, 'n': 15, 'trace_an': 0}
  • id: 50274646
    {'hecke_orbit_code': 31528014923697230, 'n': 16, 'trace_an': -12}
  • id: 50274647
    {'hecke_orbit_code': 31528014923697230, 'n': 17, 'trace_an': -24}
  • id: 50274648
    {'hecke_orbit_code': 31528014923697230, 'n': 18, 'trace_an': 0}
  • id: 50274649
    {'hecke_orbit_code': 31528014923697230, 'n': 19, 'trace_an': -12}
  • id: 50274650
    {'hecke_orbit_code': 31528014923697230, 'n': 20, 'trace_an': 0}
  • id: 50274651
    {'hecke_orbit_code': 31528014923697230, 'n': 21, 'trace_an': 0}
  • id: 50274652
    {'hecke_orbit_code': 31528014923697230, 'n': 22, 'trace_an': 0}
  • id: 50274653
    {'hecke_orbit_code': 31528014923697230, 'n': 23, 'trace_an': 8}
  • id: 50274654
    {'hecke_orbit_code': 31528014923697230, 'n': 24, 'trace_an': 0}
  • id: 50274655
    {'hecke_orbit_code': 31528014923697230, 'n': 25, 'trace_an': 0}
  • id: 50274656
    {'hecke_orbit_code': 31528014923697230, 'n': 26, 'trace_an': 0}
  • id: 50274657
    {'hecke_orbit_code': 31528014923697230, 'n': 27, 'trace_an': 0}
  • id: 50274658
    {'hecke_orbit_code': 31528014923697230, 'n': 28, 'trace_an': 0}
  • id: 50274659
    {'hecke_orbit_code': 31528014923697230, 'n': 29, 'trace_an': 0}
  • id: 50274660
    {'hecke_orbit_code': 31528014923697230, 'n': 30, 'trace_an': 0}
  • id: 50274661
    {'hecke_orbit_code': 31528014923697230, 'n': 31, 'trace_an': 0}
  • id: 50274662
    {'hecke_orbit_code': 31528014923697230, 'n': 32, 'trace_an': 12}
  • id: 50274663
    {'hecke_orbit_code': 31528014923697230, 'n': 33, 'trace_an': 0}
  • id: 50274664
    {'hecke_orbit_code': 31528014923697230, 'n': 34, 'trace_an': 0}
  • id: 50274665
    {'hecke_orbit_code': 31528014923697230, 'n': 35, 'trace_an': 0}
  • id: 50274666
    {'hecke_orbit_code': 31528014923697230, 'n': 36, 'trace_an': 0}
  • id: 50274667
    {'hecke_orbit_code': 31528014923697230, 'n': 37, 'trace_an': 0}
  • id: 50274668
    {'hecke_orbit_code': 31528014923697230, 'n': 38, 'trace_an': -12}
  • id: 50274669
    {'hecke_orbit_code': 31528014923697230, 'n': 39, 'trace_an': 0}
  • id: 50274670
    {'hecke_orbit_code': 31528014923697230, 'n': 40, 'trace_an': 0}
  • id: 50274671
    {'hecke_orbit_code': 31528014923697230, 'n': 41, 'trace_an': 0}
  • id: 50274672
    {'hecke_orbit_code': 31528014923697230, 'n': 42, 'trace_an': 0}
  • id: 50274673
    {'hecke_orbit_code': 31528014923697230, 'n': 43, 'trace_an': 0}
  • id: 50274674
    {'hecke_orbit_code': 31528014923697230, 'n': 44, 'trace_an': 0}
  • id: 50274675
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  • id: 50274676
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  • id: 50274677
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  • id: 50274678
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  • id: 50274679
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  • id: 50274680
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  • id: 50274681
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  • id: 50274682
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  • id: 50274683
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  • id: 50274684
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  • id: 50274685
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  • id: 50274686
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  • id: 50274687
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  • id: 50274688
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  • id: 50274689
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  • id: 50274690
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  • id: 50274691
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  • id: 50274692
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  • id: 50274693
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  • id: 50274694
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  • id: 50274695
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  • id: 50274696
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  • id: 50274697
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  • id: 50274698
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  • id: 50274699
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  • id: 50274700
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  • id: 50274701
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  • id: 50274702
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  • id: 50274703
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  • id: 50274705
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  • id: 50274706
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  • id: 50274707
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  • id: 50274708
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  • id: 50274709
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  • id: 50274710
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  • id: 50274711
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  • id: 50274712
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  • id: 50274713
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  • id: 50274714
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  • id: 50274715
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  • id: 50274716
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  • id: 50274717
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  • id: 50274718
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  • id: 50274719
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  • id: 50274720
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  • id: 50274721
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  • id: 50274722
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  • id: 50274723
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  • id: 50274724
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  • id: 50274725
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  • id: 50274726
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  • id: 50274727
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  • id: 50274728
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  • id: 50274729
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  • id: 50274730
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  • id: 50274731
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  • id: 50274732
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  • id: 50274733
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  • id: 50274734
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  • id: 50274735
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  • id: 50274736
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  • id: 50274737
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  • id: 50274738
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  • id: 50274739
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  • id: 50274740
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  • id: 50274741
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  • id: 50274742
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  • id: 50274743
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  • id: 50274744
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  • id: 50274745
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  • id: 50274746
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  • id: 50274747
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  • id: 50274748
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  • id: 50274749
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  • id: 50274750
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  • id: 50274751
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  • id: 50274752
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  • id: 50274753
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  • id: 50274754
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  • id: 50274755
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  • id: 50274756
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  • id: 50274757
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  • id: 50274758
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  • id: 50274759
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  • id: 50274760
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  • id: 50274761
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  • id: 50274762
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  • id: 50274763
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  • id: 50274764
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  • id: 50274765
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  • id: 50274766
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  • id: 50274767
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  • id: 50274768
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  • id: 50274769
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  • id: 50274770
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  • id: 50274771
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  • id: 50274772
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  • id: 50274773
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  • id: 50274774
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  • id: 50274775
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  • id: 50274776
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  • id: 50274777
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  • id: 50274778
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  • id: 50274779
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  • id: 50274780
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  • id: 50274781
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  • id: 50274782
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  • id: 50274783
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  • id: 50274784
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  • id: 50274785
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  • id: 50274786
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  • id: 50274787
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  • id: 50274788
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  • id: 50274789
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  • id: 50274790
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  • id: 50274791
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  • id: 50274792
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  • id: 50274793
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  • id: 50274794
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  • id: 50274795
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  • id: 50274796
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  • id: 50274797
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  • id: 50274798
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  • id: 50274799
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  • id: 50274800
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  • id: 50274801
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  • id: 50274802
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  • id: 50274803
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  • id: 50274804
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  • id: 50274805
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  • id: 50274806
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  • id: 50274807
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  • id: 50274808
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  • id: 50274809
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  • id: 50274810
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  • id: 50274811
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  • id: 50274812
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  • id: 50274813
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  • id: 50274814
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  • id: 50274815
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  • id: 50274816
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  • id: 50274817
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  • id: 50274818
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  • id: 50274819
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  • id: 50274820
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  • id: 50274821
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  • id: 50274822
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  • id: 50274823
    {'hecke_orbit_code': 31528014923697230, 'n': 587, 'trace_an': 0}
  • id: 50274824
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  • id: 50274825
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  • id: 50274826
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  • id: 50274827
    {'hecke_orbit_code': 31528014923697230, 'n': 607, 'trace_an': 0}
  • id: 50274828
    {'hecke_orbit_code': 31528014923697230, 'n': 613, 'trace_an': 0}
  • id: 50274829
    {'hecke_orbit_code': 31528014923697230, 'n': 617, 'trace_an': -256}
  • id: 50274830
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  • id: 50274831
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  • id: 50274832
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  • id: 50274833
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  • id: 50274834
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  • id: 50274835
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  • id: 50274836
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  • id: 50274837
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  • id: 50274838
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  • id: 50274839
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  • id: 50274840
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  • id: 50274841
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  • id: 50274842
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  • id: 50274843
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  • id: 50274844
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  • id: 50274845
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  • id: 50274846
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  • id: 50274847
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  • id: 50274848
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  • id: 50274849
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  • id: 50274850
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  • id: 50274851
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  • id: 50274852
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  • id: 50274853
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  • id: 50274854
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  • id: 50274855
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  • id: 50274856
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  • id: 50274857
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  • id: 50274858
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  • id: 50274859
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  • id: 50274860
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  • id: 50274861
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  • id: 50274862
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  • id: 50274863
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  • id: 50274864
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  • id: 50274865
    {'hecke_orbit_code': 31528014923697230, 'n': 841, 'trace_an': -88}
  • id: 50274866
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  • id: 50274867
    {'hecke_orbit_code': 31528014923697230, 'n': 857, 'trace_an': -192}
  • id: 50274868
    {'hecke_orbit_code': 31528014923697230, 'n': 859, 'trace_an': 24}
  • id: 50274869
    {'hecke_orbit_code': 31528014923697230, 'n': 863, 'trace_an': 104}
  • id: 50274870
    {'hecke_orbit_code': 31528014923697230, 'n': 877, 'trace_an': 0}
  • id: 50274871
    {'hecke_orbit_code': 31528014923697230, 'n': 881, 'trace_an': 0}
  • id: 50274872
    {'hecke_orbit_code': 31528014923697230, 'n': 883, 'trace_an': 0}
  • id: 50274873
    {'hecke_orbit_code': 31528014923697230, 'n': 887, 'trace_an': 504}
  • id: 50274874
    {'hecke_orbit_code': 31528014923697230, 'n': 907, 'trace_an': 0}
  • id: 50274875
    {'hecke_orbit_code': 31528014923697230, 'n': 911, 'trace_an': 0}
  • id: 50274876
    {'hecke_orbit_code': 31528014923697230, 'n': 919, 'trace_an': -80}
  • id: 50274877
    {'hecke_orbit_code': 31528014923697230, 'n': 929, 'trace_an': 0}
  • id: 50274878
    {'hecke_orbit_code': 31528014923697230, 'n': 937, 'trace_an': 0}
  • id: 50274879
    {'hecke_orbit_code': 31528014923697230, 'n': 941, 'trace_an': 0}
  • id: 50274880
    {'hecke_orbit_code': 31528014923697230, 'n': 947, 'trace_an': 64}
  • id: 50274881
    {'hecke_orbit_code': 31528014923697230, 'n': 953, 'trace_an': 288}
  • id: 50274882
    {'hecke_orbit_code': 31528014923697230, 'n': 961, 'trace_an': -60}
  • id: 50274883
    {'hecke_orbit_code': 31528014923697230, 'n': 967, 'trace_an': 0}
  • id: 50274884
    {'hecke_orbit_code': 31528014923697230, 'n': 971, 'trace_an': 0}
  • id: 50274885
    {'hecke_orbit_code': 31528014923697230, 'n': 977, 'trace_an': -72}
  • id: 50274886
    {'hecke_orbit_code': 31528014923697230, 'n': 983, 'trace_an': -504}
  • id: 50274887
    {'hecke_orbit_code': 31528014923697230, 'n': 991, 'trace_an': 48}
  • id: 50274888
    {'hecke_orbit_code': 31528014923697230, 'n': 997, 'trace_an': 0}