Embedded newform data - 3332.2.b.c.2549.3

Formats: - HTML - YAML - JSON - 2025-03-20T02:54:33.645364

• 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': 13328, 'analytic_conductor': 26.606153953490622, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 17, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [3332, 2, [1667, 885, 785], [2, 2, 1]], 'cm_discs': [], 'conrey_index': 2549, 'dim': 8, 'field_disc': 12960000, 'field_disc_factorization': [[2, 8], [3, 4], [5, 4]], 'field_poly': [1, 0, -3, 0, 8, 0, -3, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [1, 0, 7, 0, 1]], [13, [144, 0, -36, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007268007775492, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 2304, 'hecke_ring_index_factorization': [[2, 8], [3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 119, 4, -1, 2, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 17, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '3332.2.b.c', 'level': 3332, '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, 7, 17], 'level_radical': 238, 'minimal_twist': '3332.2.b.c', 'nf_label': '8.0.12960000.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{2}q^{3}+\\beta _{7}q^{5}+(-1-\\beta _{1})q^{9}+\\beta _{5}q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3332.2.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 436299554643839351, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6.820', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.791', 'prec': 17}, {'__RealLiteral__': 0, 'data': '481.838', 'prec': 24}, {'__RealLiteral__': 0, 'data': '189.327', 'prec': 24}, {'__RealLiteral__': 0, 'data': '48868.736', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.766', 'prec': 17}, 'traces': [8, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 20, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, -48, 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, -8, 0, 28, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 20, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, -28, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, -12, 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, 0, 0, 60, 0, -48, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 56, 0, -24, 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, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -92, 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, 36, 0, -8, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 68, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -100, 0, -84, 0, 0, 0, 32, 0, 0, 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, -92, 0, 0, 0, 0, 0, 0, 0, -192, 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, 164, 0, -40, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, 60, 0, 40, 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, 0, 0, 96, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -156, 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, -60, 0, 180, 0, 0, 0, -280, 0, 0, 0, 0, 0, 0, 0, -48, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, -48, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -240, 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, 0, 0, 180, 0, -20, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 236, 0, 0, 0, 0, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 220, 0, 0, 0, 0, 0, 0, 0, 80, 0, -96, 0, 0, 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, 12, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -296, 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, 56, 0, 60, 0, 0, 0, -248, 0, 0, 0, 0, 0, 0, 0, 240, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132, 0, -232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 368, 0, -144, 0, 0, 0, -312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 436, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 192, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, -192, 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, 240, 0, 120, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 160, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -180, 0, -60, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -480, 0, 0, 0, -260, 0, 0, 0, 0, 0, 0, 0, -248, 0, 0, 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, 80, 0, 48, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 468, 0, 0, 0, 0, 0, 0, 0, 60, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, -228, 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, -96, 0, 288, 0, 0, 0, -420, 0, 0, 0, 0, 0, 0, 0, 108, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, -252, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 284, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, -228, 0, 0, 0, 0, 0, 0, 0, -332, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 396, 0, -48, 0, 0, 0, -300, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -116, 0, 0, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, 0, 528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 260, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 240, 0, 228, 0, 0, 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, 320, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -380, 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, -124, 0, 144, 0, 0, 0, -388, 0, 0, 0, 0, 0, 0, 0, 260, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 44, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, -228, 0, 0, 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, 180, 0, -60, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 300, 0, 0, 0, 0, 0, 300, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 444, 0, 0, 0, 0, 0, 0, 0, 144, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -300, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, -364, 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, 204, 0, -76, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 148, 0, 360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -240, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, -204, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, -336, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 300, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, -480, 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], [0.0, -0.22052817941653582], [0.0, 0.0], [0.0, 1.1708203932499368], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9513673220832282, 0.0], [0.0, 0.0], [0.0, -1.044465935734187], [0.0, 0.0], [-0.5937878496438879, 0.0], [0.0, 0.0], [0.25819888974716115, 0.0], [0.0, 0.0], [-0.8401680504168059, -0.5423261445466404], [0.0, 0.0], [-1.2858830237581518, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.1687304123445559], [0.0, 0.0], [-0.37082039324993693, 0.0], [0.0, 0.0], [0.0, -0.43033148291193524], [0.0, 0.0], [0.0, 1.4383899044561523], [0.0, 0.0], [0.0, 0.3330065436367118], [0.0, 0.0], [-0.2303341712700488, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.2175276562102358], [0.0, 0.0], [0.0, 0.13094695344162632], [0.0, 0.0], [0.0, 0.05965306889051455], [0.0, 0.0], [-0.13024932877134346, 0.0], [0.0, 0.0], [0.0, 1.1138802621666246], [0.0, 0.0], [-0.5052911526399114, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.11959819730685967, 0.1852807305623585], 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'conrey_index': 2549, 'dual_conrey_index': 2549, 'dual_embedding_index': 6, 'dual_embedding_m': 6, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.30901699437494745, 'embedding_root_real': 0.5352331346596348, 'hecke_orbit': 3, 'hecke_orbit_code': 9007268007775492, 'label': '3332.2.b.c.2549.3', 'level': 3332, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 13328, 'analytic_conductor': 26.606153953490622, 'char_conductor': 17, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [3332, 2, [1667, 885, 785], [2, 2, 1]], 'conrey_index': 2549, 'cusp_dim': 480, 'dim': 62, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 13], 'hecke_orbit_code': 68753034500, 'hecke_orbit_dims': [2, 8, 8, 12, 12, 20], 'label': '3332.2.b', 'level': 3332, '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, 7, 17], 'level_radical': 238, 'mf_dim': 528, 'mf_new_dim': 62, 'num_forms': 6, 'prim_orbit_index': 2, 'relative_dim': 62, 'sturm_bound': 1008, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [62, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, -12, 0, 12, 0, -6, 0, -4, 0, 0, 0, 0, 0, -46, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 18, 0, 40, 0, -4, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -4, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 90, 0, -4, 0, -2, 0, -44, 0, -24, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -12, 0, -12, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, -24, 0, 112, 0, 0, 0, -86, 0, 4, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -96, 0, 8, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 96, 0, -36, 0, 6, 0, -16, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 50, 0, 28, 0, 0, 0, 0, 0, 0, 0, -140, 0, 0, 0, 20, 0, 8, 0, 48, 0, 0, 0, 44, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 24, 0, -44, 0, 12, 0, 38, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 32, 0, 40, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -68, 0, 128, 0, -40, 0, -4, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -76, 0, 0, 0, -12, 0, -8, 0, -40, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, -172, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, -12, 0, 14, 0, 12, 0, -144, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 20, 0, -48, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 28, 0, 120, 0, 0, 0, 24, 0, 166, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, -56, 0, 112, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 168, 0, -112, 0, -44, 0, -84, 0, 164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, -44, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, -156, 0, -140, 0, 54, 0, 0, 0, 204, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, -188, 0, -50, 0, 76, 0, -84, 0, 0, 0, -200, 0, 0, 0, 0, 0, 0, 0, 104, 0, -84, 0, 0, 0, 0, 0, 0, 0, -316, 0, 0, 0, -36, 0, 60, 0, -24, 0, 56, 0, 0, 0, 0, 0, 392, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, -92, 0, 0, 0, -92, 0, 0, 0, -86, 0, -174, 0, -104, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, -188, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 156, 0, 80, 0, 166, 0, 72, 0, -196, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 36, 0, 16, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 112, 0, 192, 0, 0, 0, -44, 0, 28, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, -256, 0, 136, 0, 0, 0, 0, 0, 0, 0, 268, 0, 0, 0, 78, 0, -88, 0, 108, 0, 184, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 72, 0, 0, 0, 0, 0, 0, 0, -140, 0, 0, 0, 244, 0, -96, 0, 224, 0, 0, 0, -40, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -76, 0, -12, 0, -92, 0, -84, 0, 0, 0, -408, 0, 0, 0, 0, 0, 0, 0, -4, 0, -184, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, -20, 0, -210, 0, -44, 0, 20, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, -248, 0, 0, 0, -184, 0, -112, 0, 32, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, -60, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, -34, 0, 84, 0, -244, 0, 0, 0, 284, 0, 0, 0, 0, 0, 0, 0, -140, 0, -92, 0, 0, 0, 0, 0, 0, 0, 196, 0, 0, 0, 120, 0, 188, 0, 0, 0, 156, 0, 484, 0, 0, 0, -70, 0, 0, 0, 0, 0, 0, 0, 140, 0, -108, 0, 0, 0, 0, 0, 0, 0, 232, 0, 0, 0, 148, 0, -232, 0, -72, 0, -364, 0, 116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -340, 0, -8, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -200, 0, -20, 0, 152, 0, 0, 0, 464, 0, 0, 0, -164, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, -364, 0, -50, 0, 76, 0, -96, 0, 0, 0, -260, 0, 0, 0, 0, 0, 0, 0, 68, 0, -116, 0, 0, 0, 0, 0, 0, 0, -46, 0, 0, 0, 68, 0, 304, 0, -44, 0, 48, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, -292, 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: 40581215
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 2549, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007775492, 'source_is_minimal': True, 'source_label': '3332.2.b.c.2549.3', 'source_level': 3332, 'target_conrey_index': 2549, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007268007775492, 'target_is_minimal': True, 'target_label': '3332.2.b.c.2549.3', 'target_level': 3332, 'twist_class_label': '3332.2.b.c.2549.3', 'twist_class_level': 3332, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 40581216
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2549, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007775492, 'source_is_minimal': True, 'source_label': '3332.2.b.c.2549.3', 'source_level': 3332, 'target_conrey_index': 2549, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9007268007775492, 'target_is_minimal': True, 'target_label': '3332.2.b.c.2549.5', 'target_level': 3332, 'twist_class_label': '3332.2.b.c.2549.3', 'twist_class_level': 3332, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 40581217
    {'conductor': 17, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 2549, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007775492, 'source_is_minimal': True, 'source_label': '3332.2.b.c.2549.3', 'source_level': 3332, 'target_conrey_index': 2549, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 9007268007775492, 'target_is_minimal': True, 'target_label': '3332.2.b.c.2549.6', 'target_level': 3332, 'twist_class_label': '3332.2.b.c.2549.3', 'twist_class_level': 3332, 'twisting_char_label': '17.16', 'twisting_conrey_index': 16, 'weight': 2}
  • id: 40581218
    {'conductor': 119, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 2549, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007775492, 'source_is_minimal': True, 'source_label': '3332.2.b.c.2549.3', 'source_level': 3332, 'target_conrey_index': 2549, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007268007775492, 'target_is_minimal': True, 'target_label': '3332.2.b.c.2549.4', 'target_level': 3332, 'twist_class_label': '3332.2.b.c.2549.3', 'twist_class_level': 3332, 'twisting_char_label': '119.118', 'twisting_conrey_index': 118, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3128425
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9007268007775492, 'p': 2}
  • id: 3128426
    {'charpoly_factorization': [[[1, 0, 7, 0, 1], 2]], 'hecke_orbit_code': 9007268007775492, 'p': 3}
  • id: 3128427
    {'charpoly_factorization': [[[1, 0, 7, 0, 1], 2]], 'hecke_orbit_code': 9007268007775492, 'p': 5}
  • id: 3128428
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9007268007775492, 'p': 7}
  • id: 3128429
    {'charpoly_factorization': [[[12, 0, 1], 4]], 'hecke_orbit_code': 9007268007775492, 'p': 11}
  • id: 3128430
    {'charpoly_factorization': [[[144, 0, -36, 0, 1], 2]], 'hecke_orbit_code': 9007268007775492, 'p': 13}
  • id: 3128431
    {'charpoly_factorization': [[[289, 0, -14, 0, 1], 2]], 'hecke_orbit_code': 9007268007775492, 'p': 17}
  • id: 3128432
    {'charpoly_factorization': [[[144, 0, -36, 0, 1], 2]], 'hecke_orbit_code': 9007268007775492, 'p': 19}
  • id: 3128433
    {'charpoly_factorization': [[[144, 0, 36, 0, 1], 2]], 'hecke_orbit_code': 9007268007775492, 'p': 23}
  • id: 3128434
    {'charpoly_factorization': [[[60, 0, 1], 4]], 'hecke_orbit_code': 9007268007775492, 'p': 29}
  • id: 3128435
    {'charpoly_factorization': [[[81, 0, 27, 0, 1], 2]], 'hecke_orbit_code': 9007268007775492, 'p': 31}
  • id: 3128436
    {'charpoly_factorization': [[[144, 0, 84, 0, 1], 2]], 'hecke_orbit_code': 9007268007775492, 'p': 37}
  • id: 3128437
    {'charpoly_factorization': [[[1, 0, 7, 0, 1], 2]], 'hecke_orbit_code': 9007268007775492, 'p': 41}
  • id: 3128438
    {'charpoly_factorization': [[[-5, -5, 1], 4]], 'hecke_orbit_code': 9007268007775492, 'p': 43}
  • id: 3128439
    {'charpoly_factorization': [[[-12, 0, 1], 4]], 'hecke_orbit_code': 9007268007775492, 'p': 47}
  • id: 3128440
    {'charpoly_factorization': [[[-9, -3, 1], 4]], 'hecke_orbit_code': 9007268007775492, 'p': 53}
  • id: 3128441
    {'charpoly_factorization': [[[-48, 0, 1], 4]], 'hecke_orbit_code': 9007268007775492, 'p': 59}
  • id: 3128442
    {'charpoly_factorization': [[[9801, 0, 207, 0, 1], 2]], 'hecke_orbit_code': 9007268007775492, 'p': 61}
  • id: 3128443
    {'charpoly_factorization': [[[-95, -5, 1], 4]], 'hecke_orbit_code': 9007268007775492, 'p': 67}
  • id: 3128444
    {'charpoly_factorization': [[[144, 0, 84, 0, 1], 2]], 'hecke_orbit_code': 9007268007775492, 'p': 71}
  • id: 3128445
    {'charpoly_factorization': [[[2025, 0, 135, 0, 1], 2]], 'hecke_orbit_code': 9007268007775492, 'p': 73}
  • id: 3128446
    {'charpoly_factorization': [[[60, 0, 1], 4]], 'hecke_orbit_code': 9007268007775492, 'p': 79}
  • id: 3128447
    {'charpoly_factorization': [[[17424, 0, -276, 0, 1], 2]], 'hecke_orbit_code': 9007268007775492, 'p': 83}
  • id: 3128448
    {'charpoly_factorization': [[[-108, 0, 1], 4]], 'hecke_orbit_code': 9007268007775492, 'p': 89}
  • id: 3128449
    {'charpoly_factorization': [[[81, 0, 63, 0, 1], 2]], 'hecke_orbit_code': 9007268007775492, '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': 2, 'hecke_orbit': 3, 'label': '3332.2.b.c', 'level': 3332, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29653981
    {'hecke_orbit_code': 9007268007775492, 'n': 1, 'trace_an': 8}
  • id: 29653982
    {'hecke_orbit_code': 9007268007775492, 'n': 2, 'trace_an': 0}
  • id: 29653983
    {'hecke_orbit_code': 9007268007775492, 'n': 3, 'trace_an': 0}
  • id: 29653984
    {'hecke_orbit_code': 9007268007775492, 'n': 4, 'trace_an': 0}
  • id: 29653985
    {'hecke_orbit_code': 9007268007775492, 'n': 5, 'trace_an': 0}
  • id: 29653986
    {'hecke_orbit_code': 9007268007775492, 'n': 6, 'trace_an': 0}
  • id: 29653987
    {'hecke_orbit_code': 9007268007775492, 'n': 7, 'trace_an': 0}
  • id: 29653988
    {'hecke_orbit_code': 9007268007775492, 'n': 8, 'trace_an': 0}
  • id: 29653989
    {'hecke_orbit_code': 9007268007775492, 'n': 9, 'trace_an': -4}
  • id: 29653990
    {'hecke_orbit_code': 9007268007775492, 'n': 10, 'trace_an': 0}
  • id: 29653991
    {'hecke_orbit_code': 9007268007775492, 'n': 11, 'trace_an': 0}
  • id: 29653992
    {'hecke_orbit_code': 9007268007775492, 'n': 12, 'trace_an': 0}
  • id: 29653993
    {'hecke_orbit_code': 9007268007775492, 'n': 13, 'trace_an': 0}
  • id: 29653994
    {'hecke_orbit_code': 9007268007775492, 'n': 14, 'trace_an': 0}
  • id: 29653995
    {'hecke_orbit_code': 9007268007775492, 'n': 15, 'trace_an': 8}
  • id: 29653996
    {'hecke_orbit_code': 9007268007775492, 'n': 16, 'trace_an': 0}
  • id: 29653997
    {'hecke_orbit_code': 9007268007775492, 'n': 17, 'trace_an': 0}
  • id: 29653998
    {'hecke_orbit_code': 9007268007775492, 'n': 18, 'trace_an': 0}
  • id: 29653999
    {'hecke_orbit_code': 9007268007775492, 'n': 19, 'trace_an': 0}
  • id: 29654000
    {'hecke_orbit_code': 9007268007775492, 'n': 20, 'trace_an': 0}
  • id: 29654001
    {'hecke_orbit_code': 9007268007775492, 'n': 21, 'trace_an': 0}
  • id: 29654002
    {'hecke_orbit_code': 9007268007775492, 'n': 22, 'trace_an': 0}
  • id: 29654003
    {'hecke_orbit_code': 9007268007775492, 'n': 23, 'trace_an': 0}
  • id: 29654004
    {'hecke_orbit_code': 9007268007775492, 'n': 24, 'trace_an': 0}
  • id: 29654005
    {'hecke_orbit_code': 9007268007775492, 'n': 25, 'trace_an': 12}
  • id: 29654006
    {'hecke_orbit_code': 9007268007775492, 'n': 26, 'trace_an': 0}
  • id: 29654007
    {'hecke_orbit_code': 9007268007775492, 'n': 27, 'trace_an': 0}
  • id: 29654008
    {'hecke_orbit_code': 9007268007775492, 'n': 28, 'trace_an': 0}
  • id: 29654009
    {'hecke_orbit_code': 9007268007775492, 'n': 29, 'trace_an': 0}
  • id: 29654010
    {'hecke_orbit_code': 9007268007775492, 'n': 30, 'trace_an': 0}
  • id: 29654011
    {'hecke_orbit_code': 9007268007775492, 'n': 31, 'trace_an': 0}
  • id: 29654012
    {'hecke_orbit_code': 9007268007775492, 'n': 32, 'trace_an': 0}
  • id: 29654013
    {'hecke_orbit_code': 9007268007775492, 'n': 33, 'trace_an': 0}
  • id: 29654014
    {'hecke_orbit_code': 9007268007775492, 'n': 34, 'trace_an': 0}
  • id: 29654015
    {'hecke_orbit_code': 9007268007775492, 'n': 35, 'trace_an': 0}
  • id: 29654016
    {'hecke_orbit_code': 9007268007775492, 'n': 36, 'trace_an': 0}
  • id: 29654017
    {'hecke_orbit_code': 9007268007775492, 'n': 37, 'trace_an': 0}
  • id: 29654018
    {'hecke_orbit_code': 9007268007775492, 'n': 38, 'trace_an': 0}
  • id: 29654019
    {'hecke_orbit_code': 9007268007775492, 'n': 39, 'trace_an': 0}
  • id: 29654020
    {'hecke_orbit_code': 9007268007775492, 'n': 40, 'trace_an': 0}
  • id: 29654021
    {'hecke_orbit_code': 9007268007775492, 'n': 41, 'trace_an': 0}
  • id: 29654022
    {'hecke_orbit_code': 9007268007775492, 'n': 42, 'trace_an': 0}
  • id: 29654023
    {'hecke_orbit_code': 9007268007775492, 'n': 43, 'trace_an': 20}
  • id: 29654024
    {'hecke_orbit_code': 9007268007775492, 'n': 44, 'trace_an': 0}
  • id: 29654025
    {'hecke_orbit_code': 9007268007775492, 'n': 45, 'trace_an': 0}
  • id: 29654026
    {'hecke_orbit_code': 9007268007775492, 'n': 46, 'trace_an': 0}
  • id: 29654027
    {'hecke_orbit_code': 9007268007775492, 'n': 47, 'trace_an': 0}
  • id: 29654028
    {'hecke_orbit_code': 9007268007775492, 'n': 48, 'trace_an': 0}
  • id: 29654029
    {'hecke_orbit_code': 9007268007775492, 'n': 49, 'trace_an': 0}
  • id: 29654030
    {'hecke_orbit_code': 9007268007775492, 'n': 50, 'trace_an': 0}
  • id: 29654031
    {'hecke_orbit_code': 9007268007775492, 'n': 51, 'trace_an': 20}
  • id: 29654032
    {'hecke_orbit_code': 9007268007775492, 'n': 52, 'trace_an': 0}
  • id: 29654033
    {'hecke_orbit_code': 9007268007775492, 'n': 53, 'trace_an': 12}
  • id: 29654034
    {'hecke_orbit_code': 9007268007775492, 'n': 54, 'trace_an': 0}
  • id: 29654035
    {'hecke_orbit_code': 9007268007775492, 'n': 55, 'trace_an': 0}
  • id: 29654036
    {'hecke_orbit_code': 9007268007775492, 'n': 56, 'trace_an': 0}
  • id: 29654037
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  • id: 29654038
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  • id: 29654039
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  • id: 29654040
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  • id: 29654041
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  • id: 29654042
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  • id: 29654043
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  • id: 29654044
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  • id: 29654045
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  • id: 29654046
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  • id: 29654047
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  • id: 29654048
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  • id: 29654049
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  • id: 29654050
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  • id: 29654051
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  • id: 29654052
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  • id: 29654053
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  • id: 29654054
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  • id: 29654055
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  • id: 29654056
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  • id: 29654057
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  • id: 29654058
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  • id: 29654059
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  • id: 29654060
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  • id: 29654061
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  • id: 29654062
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  • id: 29654063
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  • id: 29654064
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  • id: 29654065
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  • id: 29654066
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  • id: 29654067
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  • id: 29654068
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  • id: 29654069
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  • id: 29654070
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  • id: 29654071
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  • id: 29654072
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  • id: 29654073
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  • id: 29654074
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  • id: 29654075
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  • id: 29654076
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  • id: 29654077
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  • id: 29654078
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  • id: 29654079
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  • id: 29654080
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  • id: 29654081
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  • id: 29654082
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  • id: 29654083
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  • id: 29654084
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  • id: 29654085
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  • id: 29654086
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  • id: 29654087
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  • id: 29654088
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  • id: 29654089
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  • id: 29654090
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  • id: 29654091
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  • id: 29654092
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  • id: 29654093
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  • id: 29654094
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  • id: 29654095
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  • id: 29654096
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  • id: 29654097
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  • id: 29654098
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  • id: 29654099
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  • id: 29654100
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  • id: 29654101
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  • id: 29654102
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  • id: 29654103
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  • id: 29654104
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  • id: 29654105
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  • id: 29654106
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  • id: 29654107
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  • id: 29654108
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  • id: 29654109
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  • id: 29654110
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  • id: 29654111
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  • id: 29654112
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  • id: 29654113
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  • id: 29654114
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  • id: 29654115
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  • id: 29654116
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  • id: 29654117
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  • id: 29654118
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  • id: 29654119
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  • id: 29654120
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  • id: 29654121
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  • id: 29654122
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  • id: 29654123
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  • id: 29654124
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  • id: 29654125
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  • id: 29654126
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  • id: 29654127
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  • id: 29654128
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  • id: 29654129
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  • id: 29654130
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  • id: 29654131
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  • id: 29654132
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  • id: 29654133
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  • id: 29654134
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  • id: 29654135
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  • id: 29654136
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  • id: 29654137
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  • id: 29654138
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  • id: 29654139
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  • id: 29654140
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  • id: 29654141
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  • id: 29654142
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  • id: 29654143
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  • id: 29654144
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  • id: 29654145
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  • id: 29654146
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  • id: 29654147
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  • id: 29654148
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  • id: 29654149
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  • id: 29654150
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  • id: 29654151
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  • id: 29654152
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  • id: 29654153
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  • id: 29654154
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  • id: 29654155
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  • id: 29654156
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  • id: 29654157
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  • id: 29654158
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  • id: 29654159
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  • id: 29654160
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  • id: 29654161
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  • id: 29654162
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  • id: 29654163
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  • id: 29654164
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  • id: 29654165
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  • id: 29654166
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  • id: 29654167
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  • id: 29654168
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  • id: 29654169
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  • id: 29654170
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  • id: 29654171
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  • id: 29654172
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  • id: 29654173
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  • id: 29654174
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  • id: 29654175
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  • id: 29654176
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  • id: 29654177
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  • id: 29654178
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  • id: 29654179
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  • id: 29654180
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  • id: 29654181
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  • id: 29654182
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  • id: 29654183
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  • id: 29654184
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  • id: 29654185
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  • id: 29654186
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  • id: 29654187
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  • id: 29654188
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  • id: 29654189
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  • id: 29654190
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  • id: 29654191
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  • id: 29654192
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  • id: 29654193
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  • id: 29654194
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  • id: 29654195
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  • id: 29654196
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  • id: 29654197
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  • id: 29654198
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  • id: 29654199
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  • id: 29654200
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  • id: 29654201
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  • id: 29654202
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  • id: 29654203
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  • id: 29654204
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  • id: 29654205
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  • id: 29654206
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  • id: 29654207
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  • id: 29654208
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  • id: 29654209
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  • id: 29654210
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  • id: 29654211
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  • id: 29654212
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  • id: 29654213
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  • id: 29654214
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  • id: 29654215
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  • id: 29654216
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  • id: 29654217
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  • id: 29654218
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  • id: 29654219
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  • id: 29654220
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  • id: 29654221
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  • id: 29654222
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  • id: 29654223
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  • id: 29654224
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  • id: 29654225
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  • id: 29654226
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  • id: 29654227
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  • id: 29654228
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  • id: 29654229
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  • id: 29654230
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  • id: 29654231
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  • id: 29654232
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  • id: 29654233
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  • id: 29654234
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  • id: 29654235
    {'hecke_orbit_code': 9007268007775492, 'n': 977, 'trace_an': 36}
  • id: 29654236
    {'hecke_orbit_code': 9007268007775492, 'n': 983, 'trace_an': 0}
  • id: 29654237
    {'hecke_orbit_code': 9007268007775492, 'n': 991, 'trace_an': 0}
  • id: 29654238
    {'hecke_orbit_code': 9007268007775492, 'n': 997, 'trace_an': 0}