Embedded newform data - 4752.2.a.x.1.2

Formats: - HTML - YAML - JSON - 2026-06-18T05:21:53.493501

• 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': 19008, 'analytic_conductor': 37.94491104051244, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1], [11, 1]], 'atkin_lehner_string': '+++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [4752, 1, [4159, 1189, 353, 1729], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 28, 'field_disc_factorization': [[2, 2], [7, 1]], 'field_poly': [-7, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [0, 1]], [7, [-7, 0, 1]], [13, [0, 1]], [17, [-3, -4, 1]], [23, [-19, 6, 1]]], 'hecke_orbit': 24, 'hecke_orbit_code': 103582791463080592, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '4752.2.a.x', 'level': 4752, '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, 11], 'level_radical': 66, 'minimal_twist': '2376.2.a.i', 'nf_label': '2.2.28.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta q^{7}-q^{11}+(2-\\beta )q^{17}-2\\beta q^{19}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4752.2.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1498010192959818084, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.999', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.231', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1.156', 'prec': 17}, {'__RealLiteral__': 0, 'data': '73.597', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.036', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -6, 0, -10, 0, 0, 0, 8, 0, -8, 0, 0, 0, 0, 0, -6, 0, 0, 0, 4, 0, -4, 0, 0, 0, -2, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -8, 0, -8, 0, 0, 0, 0, 0, 8, 0, 0, 0, -16, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 16, 0, -8, 0, 0, 0, 0, 0, -4, 0, 0, 0, 16, 0, 0, 0, 0, 0, -14, 0, 2, 0, 0, 0, 0, 0, -16, 0, 0, 0, -12, 0, -28, 0, 0, 0, -8, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 16, 0, 0, 0, 0, 0, -6, 0, 0, 0, 28, 0, -24, 0, 0, 0, -8, 0, -26, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, -30, 0, 0, 0, 0, 0, -4, 0, 0, 0, 2, 0, 32, 0, 0, 0, 16, 0, 8, 0, 0, 0, -14, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 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0, 0, 0, 64, 0, 0, 0, 0, 0, 80, 0, -184, 0, 0, 0, 0, 0, -52, 0, 0, 0, 104, 0, 60, 0, 0, 0, 62, 0, 50, 0, 0, 0, 112, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 30, 0, 0, 0, 144, 0, -24, 0, 0, 0, -14, 0, 0, 0, 0, 0, 12, 0, 72, 0, 0, 0, 70, 0, 0, 0, 0, 0, -8, 0, -56, 0, 0, 0, -88, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, -12, 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], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.30151134457776363, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.15661769784708196, 0.0], [0.0, 0.0], [-1.213953957333768, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.4778113265635166, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.25147766826768997, 0.0], [0.0, 0.0], [-1.6688031347300825, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.363114634317752, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.5519383295892182, 0.0], [0.0, 0.0], [0.09847615172775515, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9177099764858543, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5494422557947561, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9113223768657671, 0.0], [0.0, 0.0], [-1.3550149717883164, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.3308956196949876, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.73068431452306, 0.0], [0.0, 0.0], [0.7704824857861424, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.30151134457776363, 0.0], [0.0, 0.0], [-0.44297567631097123, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8781140799175228, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.4088964601555907, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.769937529494585, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, None, -0.25, -0.16666666666666666, None, -0.25, -0.26247601367831047, -0.3538089954299217, -0.21160566463142397, -0.229934931914284, -0.40709326840615234, -0.36934849301020084, -0.10863060220791376, -0.24216034693231767, -0.3258701295467762, -0.20570723360854762, -0.3252985675779072, -0.3684699302822946, -0.2764534712036322, -0.41644943924358985, -0.18705911741417386, -0.28554565534357035, -0.3223437001318438, -0.1255972649523577, -0.18710610790493307, -0.16116240434782397, -0.1974320369410437, -0.16453596069285792, -0.2652676848462628, -0.22966888699745097, -0.26917200522063073, -0.3789489251974801, -0.3570340413123123, -0.41975857304258496, -0.23312919053973333, -0.15905633179871798, -0.23542636951960538, -0.292310604574198, -0.20901096228331498, -0.25, -0.19170659561785627, -0.3087504500051971, -0.2748109456160064, -0.15233510493250565, -0.21945608287413323, -0.12560062308106276, -0.3758008885855368, -0.2355468266246661, -0.3464652792812065, -0.24101087047678776, -0.21540917673913884, -0.3247860568155003, -0.2675511886268516, -0.2378479080132193, -0.30353699871856193, -0.14938373910183705, -0.16163202681053196, -0.29521755681351236, -0.21831549239031098, -0.3182340353841645, -0.2628261269039683, -0.39150286964770425, -0.28967632306714985, -0.3094694704911679, -0.4823401160070385, -0.24422634196281776, -0.3419632372994314, -0.27869156825867375, -0.3680341656513884, -0.2731563004400462, -0.09958553784159473, -0.26085688095411363, -0.12796519978172474, -0.24175558278419618, -0.20618950968616082, -0.3478822988488705, -0.28198647290807577, -0.13061797156579458, -0.28251569447904884, -0.1740259158232863, -0.14463449953587967, -0.40744940565148874, -0.18704097387395388, -0.31697120355085956, -0.18790661660007052, -0.20399180735220407, -0.36424365244622314, -0.1946032901510373, -0.2701305991145416, -0.3685180270975652, -0.0540815946052131, -0.14071780088993038, -0.0981876071754685, -0.12586546584262, -0.2828863051441056, -0.22864689241708566, -0.404040584963104, -0.22196441642193473, -0.3830580268711246, -0.32294817839485507], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 2.6457513110645907, 'hecke_orbit': 24, 'hecke_orbit_code': 103582791463080592, 'label': '4752.2.a.x.1.2', 'level': 4752, '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

  
  {'ALdims': [10, 12, 10, 8, 11, 9, 9, 11], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [8, 9, 9, 9, 9, 9, 9, 9], 'ALdims_old': [90, 96, 95, 94, 97, 90, 93, 94], 'Nk2': 19008, 'analytic_conductor': 37.94491104051244, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [4752, 1, [4159, 1189, 353, 1729], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 829, 'dim': 80, 'eis_dim': 71, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 13, 17, 23], 'hecke_orbit_code': 33559184, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3], 'label': '4752.2.a', 'level': 4752, '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, 11], 'level_radical': 66, 'mf_dim': 900, 'mf_new_dim': 80, 'num_forms': 44, 'plus_dim': 36, 'prim_orbit_index': 1, 'relative_dim': 80, 'sturm_bound': 1728, 'trace_bound': 13, 'trace_display': [0, 0, 0, 4], 'traces': [80, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 260, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 148, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, -116, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, -220, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -364, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, -424, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, -276, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, -196, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -396, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 348, 0, 0, 0, 0, 0, 80, 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: 48487363
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 103582791463080592, 'source_is_minimal': False, 'source_label': '4752.2.a.x.1.2', 'source_level': 4752, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 103582791463080592, 'target_is_minimal': False, 'target_label': '4752.2.a.x.1.2', 'target_level': 4752, 'twist_class_label': '2376.2.a.i.1.1', 'twist_class_level': 2376, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48487364
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 103582791463080592, 'source_is_minimal': False, 'source_label': '4752.2.a.x.1.2', 'source_level': 4752, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 108086391090451088, 'target_is_minimal': False, 'target_label': '4752.2.a.y.1.2', 'target_level': 4752, 'twist_class_label': '2376.2.a.i.1.1', 'twist_class_level': 2376, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48487365
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 103582791463080592, 'source_is_minimal': False, 'source_label': '4752.2.a.x.1.2', 'source_level': 4752, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679891272, 'target_is_minimal': True, 'target_label': '2376.2.a.j.1.1', 'target_level': 2376, 'twist_class_label': '2376.2.a.i.1.1', 'twist_class_level': 2376, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48487366
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 103582791463080592, 'source_is_minimal': False, 'source_label': '4752.2.a.x.1.2', 'source_level': 4752, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797052520776, 'target_is_minimal': True, 'target_label': '2376.2.a.i.1.1', 'target_level': 2376, 'twist_class_label': '2376.2.a.i.1.1', 'twist_class_level': 2376, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3695200
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 103582791463080592, 'p': 2}
  • id: 3695201
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 103582791463080592, 'p': 3}
  • id: 3695202
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 103582791463080592, 'p': 5}
  • id: 3695203
    {'charpoly_factorization': [[[-7, 0, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 7}
  • id: 3695204
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 103582791463080592, 'p': 11}
  • id: 3695205
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 103582791463080592, 'p': 13}
  • id: 3695206
    {'charpoly_factorization': [[[-3, -4, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 17}
  • id: 3695207
    {'charpoly_factorization': [[[-28, 0, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 19}
  • id: 3695208
    {'charpoly_factorization': [[[-19, 6, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 23}
  • id: 3695209
    {'charpoly_factorization': [[[9, -8, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 29}
  • id: 3695210
    {'charpoly_factorization': [[[-12, 8, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 31}
  • id: 3695211
    {'charpoly_factorization': [[[-19, 6, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 37}
  • id: 3695212
    {'charpoly_factorization': [[[-59, -4, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 41}
  • id: 3695213
    {'charpoly_factorization': [[[-3, 4, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 43}
  • id: 3695214
    {'charpoly_factorization': [[[-27, 2, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 47}
  • id: 3695215
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 103582791463080592, 'p': 53}
  • id: 3695216
    {'charpoly_factorization': [[[7, 1], 2]], 'hecke_orbit_code': 103582791463080592, 'p': 59}
  • id: 3695217
    {'charpoly_factorization': [[[-112, 0, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 61}
  • id: 3695218
    {'charpoly_factorization': [[[36, 16, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 67}
  • id: 3695219
    {'charpoly_factorization': [[[-96, 8, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 71}
  • id: 3695220
    {'charpoly_factorization': [[[-96, 8, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 73}
  • id: 3695221
    {'charpoly_factorization': [[[-47, -8, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 79}
  • id: 3695222
    {'charpoly_factorization': [[[8, 1], 2]], 'hecke_orbit_code': 103582791463080592, 'p': 83}
  • id: 3695223
    {'charpoly_factorization': [[[36, -16, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 89}
  • id: 3695224
    {'charpoly_factorization': [[[-103, 6, 1], 1]], 'hecke_orbit_code': 103582791463080592, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 24, 'label': '4752.2.a.x', 'level': 4752, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 65940391
    {'hecke_orbit_code': 103582791463080592, 'n': 1, 'trace_an': 2}
  • id: 65940392
    {'hecke_orbit_code': 103582791463080592, 'n': 2, 'trace_an': 0}
  • id: 65940393
    {'hecke_orbit_code': 103582791463080592, 'n': 3, 'trace_an': 0}
  • id: 65940394
    {'hecke_orbit_code': 103582791463080592, 'n': 4, 'trace_an': 0}
  • id: 65940395
    {'hecke_orbit_code': 103582791463080592, 'n': 5, 'trace_an': 0}
  • id: 65940396
    {'hecke_orbit_code': 103582791463080592, 'n': 6, 'trace_an': 0}
  • id: 65940397
    {'hecke_orbit_code': 103582791463080592, 'n': 7, 'trace_an': 0}
  • id: 65940398
    {'hecke_orbit_code': 103582791463080592, 'n': 8, 'trace_an': 0}
  • id: 65940399
    {'hecke_orbit_code': 103582791463080592, 'n': 9, 'trace_an': 0}
  • id: 65940400
    {'hecke_orbit_code': 103582791463080592, 'n': 10, 'trace_an': 0}
  • id: 65940401
    {'hecke_orbit_code': 103582791463080592, 'n': 11, 'trace_an': -2}
  • id: 65940402
    {'hecke_orbit_code': 103582791463080592, 'n': 12, 'trace_an': 0}
  • id: 65940403
    {'hecke_orbit_code': 103582791463080592, 'n': 13, 'trace_an': 0}
  • id: 65940404
    {'hecke_orbit_code': 103582791463080592, 'n': 14, 'trace_an': 0}
  • id: 65940405
    {'hecke_orbit_code': 103582791463080592, 'n': 15, 'trace_an': 0}
  • id: 65940406
    {'hecke_orbit_code': 103582791463080592, 'n': 16, 'trace_an': 0}
  • id: 65940407
    {'hecke_orbit_code': 103582791463080592, 'n': 17, 'trace_an': 4}
  • id: 65940408
    {'hecke_orbit_code': 103582791463080592, 'n': 18, 'trace_an': 0}
  • id: 65940409
    {'hecke_orbit_code': 103582791463080592, 'n': 19, 'trace_an': 0}
  • id: 65940410
    {'hecke_orbit_code': 103582791463080592, 'n': 20, 'trace_an': 0}
  • id: 65940411
    {'hecke_orbit_code': 103582791463080592, 'n': 21, 'trace_an': 0}
  • id: 65940412
    {'hecke_orbit_code': 103582791463080592, 'n': 22, 'trace_an': 0}
  • id: 65940413
    {'hecke_orbit_code': 103582791463080592, 'n': 23, 'trace_an': -6}
  • id: 65940414
    {'hecke_orbit_code': 103582791463080592, 'n': 24, 'trace_an': 0}
  • id: 65940415
    {'hecke_orbit_code': 103582791463080592, 'n': 25, 'trace_an': -10}
  • id: 65940416
    {'hecke_orbit_code': 103582791463080592, 'n': 26, 'trace_an': 0}
  • id: 65940417
    {'hecke_orbit_code': 103582791463080592, 'n': 27, 'trace_an': 0}
  • id: 65940418
    {'hecke_orbit_code': 103582791463080592, 'n': 28, 'trace_an': 0}
  • id: 65940419
    {'hecke_orbit_code': 103582791463080592, 'n': 29, 'trace_an': 8}
  • id: 65940420
    {'hecke_orbit_code': 103582791463080592, 'n': 30, 'trace_an': 0}
  • id: 65940421
    {'hecke_orbit_code': 103582791463080592, 'n': 31, 'trace_an': -8}
  • id: 65940422
    {'hecke_orbit_code': 103582791463080592, 'n': 32, 'trace_an': 0}
  • id: 65940423
    {'hecke_orbit_code': 103582791463080592, 'n': 33, 'trace_an': 0}
  • id: 65940424
    {'hecke_orbit_code': 103582791463080592, 'n': 34, 'trace_an': 0}
  • id: 65940425
    {'hecke_orbit_code': 103582791463080592, 'n': 35, 'trace_an': 0}
  • id: 65940426
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  • id: 65940427
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  • id: 65940428
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  • id: 65940429
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  • id: 65940430
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  • id: 65940431
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  • id: 65940432
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  • id: 65940433
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  • id: 65940434
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  • id: 65940435
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  • id: 65940436
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  • id: 65940437
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  • id: 65940438
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  • id: 65940439
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  • id: 65940440
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  • id: 65940441
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  • id: 65940442
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  • id: 65940443
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  • id: 65940444
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  • id: 65940445
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  • id: 65940446
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  • id: 65940447
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  • id: 65940448
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  • id: 65940449
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  • id: 65940450
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  • id: 65940451
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  • id: 65940452
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  • id: 65940453
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  • id: 65940454
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  • id: 65940455
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  • id: 65940456
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  • id: 65940457
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  • id: 65940458
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  • id: 65940461
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  • id: 65940462
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  • id: 65940463
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  • id: 65940464
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  • id: 65940467
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  • id: 65940468
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  • id: 65940469
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  • id: 65940470
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  • id: 65940471
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  • id: 65940476
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  • id: 65940477
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  • id: 65940480
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  • id: 65940481
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  • id: 65940486
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  • id: 65940487
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  • id: 65940488
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  • id: 65940489
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  • id: 65940490
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  • id: 65940491
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  • id: 65940492
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  • id: 65940493
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  • id: 65940494
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  • id: 65940495
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  • id: 65940496
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  • id: 65940497
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  • id: 65940498
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  • id: 65940499
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  • id: 65940500
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  • id: 65940501
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  • id: 65940502
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  • id: 65940503
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  • id: 65940504
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  • id: 65940505
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  • id: 65940506
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  • id: 65940507
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  • id: 65940508
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  • id: 65940509
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  • id: 65940510
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  • id: 65940511
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  • id: 65940512
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  • id: 65940513
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  • id: 65940514
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  • id: 65940515
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  • id: 65940516
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  • id: 65940517
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  • id: 65940518
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  • id: 65940519
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  • id: 65940520
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  • id: 65940521
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  • id: 65940522
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  • id: 65940523
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  • id: 65940524
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  • id: 65940525
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  • id: 65940526
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  • id: 65940527
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  • id: 65940528
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  • id: 65940529
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  • id: 65940530
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  • id: 65940531
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  • id: 65940532
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  • id: 65940533
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  • id: 65940534
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  • id: 65940535
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  • id: 65940536
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  • id: 65940537
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  • id: 65940538
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  • id: 65940539
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  • id: 65940540
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  • id: 65940541
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  • id: 65940542
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  • id: 65940543
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  • id: 65940544
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  • id: 65940545
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  • id: 65940546
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  • id: 65940547
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  • id: 65940548
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  • id: 65940549
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  • id: 65940550
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  • id: 65940551
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  • id: 65940552
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  • id: 65940553
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  • id: 65940554
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  • id: 65940555
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  • id: 65940556
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  • id: 65940557
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  • id: 65940558
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  • id: 65940559
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  • id: 65940560
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  • id: 65940561
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  • id: 65940562
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  • id: 65940563
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  • id: 65940564
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  • id: 65940565
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  • id: 65940566
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  • id: 65940567
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  • id: 65940568
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  • id: 65940569
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  • id: 65940570
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  • id: 65940571
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  • id: 65940572
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  • id: 65940573
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  • id: 65940574
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  • id: 65940575
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  • id: 65940576
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  • id: 65940577
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  • id: 65940578
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  • id: 65940579
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  • id: 65940580
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  • id: 65940581
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  • id: 65940582
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  • id: 65940583
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  • id: 65940584
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  • id: 65940585
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  • id: 65940586
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  • id: 65940587
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  • id: 65940588
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  • id: 65940589
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  • id: 65940590
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  • id: 65940591
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  • id: 65940592
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  • id: 65940593
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  • id: 65940594
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  • id: 65940595
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  • id: 65940596
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  • id: 65940597
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  • id: 65940600
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  • id: 65940601
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  • id: 65940602
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  • id: 65940603
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  • id: 65940604
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  • id: 65940605
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  • id: 65940606
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  • id: 65940607
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  • id: 65940608
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  • id: 65940609
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  • id: 65940610
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  • id: 65940611
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  • id: 65940612
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  • id: 65940613
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  • id: 65940614
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  • id: 65940615
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  • id: 65940616
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  • id: 65940617
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  • id: 65940618
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  • id: 65940619
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  • id: 65940620
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  • id: 65940621
    {'hecke_orbit_code': 103582791463080592, 'n': 823, 'trace_an': 24}
  • id: 65940622
    {'hecke_orbit_code': 103582791463080592, 'n': 827, 'trace_an': 36}
  • id: 65940623
    {'hecke_orbit_code': 103582791463080592, 'n': 829, 'trace_an': -6}
  • id: 65940624
    {'hecke_orbit_code': 103582791463080592, 'n': 839, 'trace_an': -10}
  • id: 65940625
    {'hecke_orbit_code': 103582791463080592, 'n': 841, 'trace_an': -12}
  • id: 65940626
    {'hecke_orbit_code': 103582791463080592, 'n': 853, 'trace_an': 64}
  • id: 65940627
    {'hecke_orbit_code': 103582791463080592, 'n': 857, 'trace_an': -36}
  • id: 65940628
    {'hecke_orbit_code': 103582791463080592, 'n': 859, 'trace_an': 56}
  • id: 65940629
    {'hecke_orbit_code': 103582791463080592, 'n': 863, 'trace_an': -90}
  • id: 65940630
    {'hecke_orbit_code': 103582791463080592, 'n': 877, 'trace_an': -28}
  • id: 65940631
    {'hecke_orbit_code': 103582791463080592, 'n': 881, 'trace_an': 40}
  • id: 65940632
    {'hecke_orbit_code': 103582791463080592, 'n': 883, 'trace_an': 24}
  • id: 65940633
    {'hecke_orbit_code': 103582791463080592, 'n': 887, 'trace_an': 68}
  • id: 65940634
    {'hecke_orbit_code': 103582791463080592, 'n': 907, 'trace_an': 16}
  • id: 65940635
    {'hecke_orbit_code': 103582791463080592, 'n': 911, 'trace_an': -18}
  • id: 65940636
    {'hecke_orbit_code': 103582791463080592, 'n': 919, 'trace_an': -8}
  • id: 65940637
    {'hecke_orbit_code': 103582791463080592, 'n': 929, 'trace_an': -32}
  • id: 65940638
    {'hecke_orbit_code': 103582791463080592, 'n': 937, 'trace_an': 24}
  • id: 65940639
    {'hecke_orbit_code': 103582791463080592, 'n': 941, 'trace_an': -88}
  • id: 65940640
    {'hecke_orbit_code': 103582791463080592, 'n': 947, 'trace_an': 8}
  • id: 65940641
    {'hecke_orbit_code': 103582791463080592, 'n': 953, 'trace_an': 108}
  • id: 65940642
    {'hecke_orbit_code': 103582791463080592, 'n': 961, 'trace_an': 26}
  • id: 65940643
    {'hecke_orbit_code': 103582791463080592, 'n': 967, 'trace_an': 88}
  • id: 65940644
    {'hecke_orbit_code': 103582791463080592, 'n': 971, 'trace_an': 8}
  • id: 65940645
    {'hecke_orbit_code': 103582791463080592, 'n': 977, 'trace_an': 48}
  • id: 65940646
    {'hecke_orbit_code': 103582791463080592, 'n': 983, 'trace_an': -56}
  • id: 65940647
    {'hecke_orbit_code': 103582791463080592, 'n': 991, 'trace_an': 40}
  • id: 65940648
    {'hecke_orbit_code': 103582791463080592, 'n': 997, 'trace_an': 24}