Embedded newform data - 3700.2.d.k.149.2

Formats: - HTML - YAML - JSON - 2025-03-11T18:17:36.982083

• 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': 14800, 'analytic_conductor': 29.544648747873744, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [3700, 2, [1851, 1777, 1001], [2, 1, 2]], 'cm_discs': [], 'conrey_index': 149, 'dim': 12, 'field_disc': 1221389376620138496, 'field_disc_factorization': [[2, 12], [3, 6], [639563, 2]], 'field_poly': [36, 0, 165, 0, 277, 0, 216, 0, 83, 0, 15, 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, [4, 0, 129, 0, 1098, 0, 959, 0, 255, 0, 27, 0, 1]], [7, [599076, 0, 578313, 0, 186948, 0, 27888, 0, 2077, 0, 74, 0, 1]], [13, [183184, 0, 500073, 0, 266706, 0, 46799, 0, 3363, 0, 99, 0, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45036202465693300, 'hecke_ring_generator_nbound': 23, 'hecke_ring_index': 81, 'hecke_ring_index_factorization': [[3, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '3700.2.d.k', 'level': 3700, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 37], 'level_radical': 370, 'minimal_twist': '3700.2.a.m', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{2}q^{3}-\\beta _{8}q^{7}+(-1+\\beta _{3}-\\beta _{6}+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3700.2.d', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1011735655601709337, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.059', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.512', 'prec': 20}, {'__RealLiteral__': 0, 'data': '6.273', 'prec': 17}, {'__RealLiteral__': 0, 'data': '592.571', 'prec': 24}, {'__RealLiteral__': 0, 'data': '598.561', 'prec': 24}, {'__RealLiteral__': 0, 'data': '50658.124', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.509', 'prec': 17}, 'traces': [12, 0, 0, 0, 0, 0, 0, 0, -18, 0, -16, 0, 0, 0, 0, 0, 0, 0, -4, 0, 20, 0, 0, 0, 0, 0, 0, 0, -26, 0, -6, 0, 0, 0, 0, 0, 0, 0, -24, 0, 44, 0, 0, 0, 0, 0, 0, 0, -64, 0, -10, 0, 0, 0, 0, 0, 0, 0, -26, 0, -18, 0, 0, 0, 0, 0, 0, 0, -76, 0, 40, 0, 0, 0, 0, 0, 0, 0, -28, 0, 60, 0, 0, 0, 0, 0, 0, 0, -32, 0, -56, 0, 0, 0, 0, 0, 0, 0, -26, 0, 66, 0, 0, 0, 0, 0, 0, 0, -66, 0, 2, 0, 0, 0, 0, 0, 0, 0, -72, 0, -40, 0, 0, 0, 0, 0, 0, 0, -104, 0, 18, 0, 0, 0, 0, 0, 0, 0, -14, 0, 54, 0, 0, 0, 0, 0, 0, 0, -30, 0, 4, 0, 0, 0, 0, 0, 0, 0, -54, 0, 90, 0, 0, 0, 0, 0, 0, 0, -42, 0, -2, 0, 0, 0, 0, 0, 0, 0, 12, 0, 6, 0, 0, 0, 0, 0, 0, 0, -50, 0, 4, 0, 0, 0, 0, 0, 0, 0, 14, 0, 16, 0, 0, 0, 0, 0, 0, 0, -86, 0, -42, 0, 0, 0, 0, 0, 0, 0, -68, 0, 118, 0, 0, 0, 0, 0, 0, 0, -30, 0, 54, 0, 0, 0, 0, 0, 0, 0, -82, 0, 100, 0, 0, 0, 0, 0, 0, 0, -92, 0, 66, 0, 0, 0, 0, 0, 0, 0, 4, 0, 44, 0, 0, 0, 0, 0, 0, 0, -116, 0, -78, 0, 0, 0, 0, 0, 0, 0, -72, 0, 92, 0, 0, 0, 0, 0, 0, 0, 4, 0, -108, 0, 0, 0, 0, 0, 0, 0, 10, 0, 46, 0, 0, 0, 0, 0, 0, 0, 122, 0, 102, 0, 0, 0, 0, 0, 0, 0, 34, 0, -106, 0, 0, 0, 0, 0, 0, 0, -90, 0, -82, 0, 0, 0, 0, 0, 0, 0, -82, 0, -44, 0, 0, 0, 0, 0, 0, 0, 18, 0, -102, 0, 0, 0, 0, 0, 0, 0, -50, 0, 36, 0, 0, 0, 0, 0, 0, 0, 16, 0, 18, 0, 0, 0, 0, 0, 0, 0, 92, 0, 30, 0, 0, 0, 0, 0, 0, 0, -34, 0, 4, 0, 0, 0, 0, 0, 0, 0, 92, 0, 110, 0, 0, 0, 0, 0, 0, 0, -16, 0, -250, 0, 0, 0, 0, 0, 0, 0, 110, 0, 10, 0, 0, 0, 0, 0, 0, 0, 152, 0, 66, 0, 0, 0, 0, 0, 0, 0, -74, 0, 82, 0, 0, 0, 0, 0, 0, 0, 138, 0, -232, 0, 0, 0, 0, 0, 0, 0, 166, 0, 60, 0, 0, 0, 0, 0, 0, 0, -16, 0, -174, 0, 0, 0, 0, 0, 0, 0, -168, 0, 10, 0, 0, 0, 0, 0, 0, 0, 52, 0, -154, 0, 0, 0, 0, 0, 0, 0, 98, 0, 116, 0, 0, 0, 0, 0, 0, 0, -86, 0, 4, 0, 0, 0, 0, 0, 0, 0, 122, 0, 102, 0, 0, 0, 0, 0, 0, 0, 4, 0, -130, 0, 0, 0, 0, 0, 0, 0, 278, 0, 38, 0, 0, 0, 0, 0, 0, 0, 108, 0, 38, 0, 0, 0, 0, 0, 0, 0, 8, 0, -76, 0, 0, 0, 0, 0, 0, 0, -46, 0, -22, 0, 0, 0, 0, 0, 0, 0, 272, 0, 126, 0, 0, 0, 0, 0, 0, 0, 184, 0, -8, 0, 0, 0, 0, 0, 0, 0, -60, 0, 36, 0, 0, 0, 0, 0, 0, 0, 60, 0, -60, 0, 0, 0, 0, 0, 0, 0, 54, 0, 58, 0, 0, 0, 0, 0, 0, 0, -4, 0, -54, 0, 0, 0, 0, 0, 0, 0, -88, 0, 76, 0, 0, 0, 0, 0, 0, 0, 34, 0, -86, 0, 0, 0, 0, 0, 0, 0, 210, 0, -92, 0, 0, 0, 0, 0, 0, 0, 16, 0, 76, 0, 0, 0, 0, 0, 0, 0, 68, 0, 38, 0, 0, 0, 0, 0, 0, 0, 12, 0, -242, 0, 0, 0, 0, 0, 0, 0, 152, 0, -50, 0, 0, 0, 0, 0, 0, 0, -38, 0, -146, 0, 0, 0, 0, 0, 0, 0, 46, 0, 70, 0, 0, 0, 0, 0, 0, 0, 168, 0, -66, 0, 0, 0, 0, 0, 0, 0, 190, 0, 98, 0, 0, 0, 0, 0, 0, 0, -138, 0, -132, 0, 0, 0, 0, 0, 0, 0, 20, 0, 158, 0, 0, 0, 0, 0, 0, 0, 162, 0, -244, 0, 0, 0, 0, 0, 0, 0, 208, 0, -26, 0, 0, 0, 0, 0, 0, 0, -20, 0, -6, 0, 0, 0, 0, 0, 0, 0, 24, 0, -4, 0, 0, 0, 0, 0, 0, 0, 8, 0, 30, 0, 0, 0, 0, 0, 0, 0, 416, 0, 204, 0, 0, 0, 0, 0, 0, 0, 96, 0, -474, 0, 0, 0, 0, 0, 0, 0, -42, 0, -238, 0, 0, 0, 0, 0, 0, 0, -2, 0, -16, 0, 0, 0, 0, 0, 0, 0, 112, 0, -240, 0, 0, 0, 0, 0, 0, 0, -2, 0, -130, 0, 0, 0, 0, 0, 0, 0, 132, 0, 252, 0, 0, 0, 0, 0, 0, 0, 98, 0, 8, 0, 0, 0, 0, 0, 0, 0, 20, 0, -48, 0, 0, 0, 0, 0, 0, 0, 54, 0, -38, 0, 0, 0, 0, 0, 0, 0, -14, 0, -46, 0, 0, 0, 0, 0, 0, 0, -26, 0, -314, 0, 0, 0, 0, 0, 0, 0, 302, 0, 270, 0, 0, 0, 0, 0, 0, 0, 44, 0, -48, 0, 0, 0, 0, 0, 0, 0, 66, 0, -78, 0, 0, 0, 0, 0, 0, 0, 4, 0, 22, 0, 0, 0, 0, 0, 0, 0, 28, 0, -30, 0, 0, 0, 0, 0, 0, 0, -198, 0, 4, 0, 0, 0, 0, 0, 0, 0, -2, 0, 138, 0, 0, 0, 0, 0, 0, 0, -28, 0, -92, 0, 0, 0, 0, 0, 0, 0, 160, 0, -106, 0, 0, 0, 0, 0, 0, 0, 374, 0, 144, 0, 0, 0, 0, 0, 0, 0, 170, 0, 84, 0, 0, 0, 0, 0, 0, 0, -92, 0, 26, 0, 0, 0, 0, 0, 0, 0, 154, 0, 234, 0, 0, 0, 0, 0, 0, 0, 198, 0, -318, 0, 0, 0, 0, 0, 0, 0, -172, 0, -18, 0, 0, 0, 0, 0, 0, 0, 292, 0, 66, 0, 0, 0, 0, 0, 0, 0, 170, 0, -176, 0, 0, 0, 0, 0, 0, 0, -36, 0, -150, 0, 0, 0, 0, 0, 0, 0, 6, 0, -106, 0, 0, 0, 0, 0, 0, 0, 218, 0, 166, 0, 0, 0, 0, 0, 0, 0, 130, 0, 46, 0, 0, 0, 0, 0, 0, 0, -16, 0, 280, 0, 0, 0, 0, 0, 0, 0, -176, 0, 242, 0, 0, 0, 0, 0, 0, 0, -60, 0, -88, 0, 0, 0, 0, 0, 0, 0, -96, 0, 246, 0, 0, 0, 0, 0, 0, 0, -62, 0, -140, 0, 0, 0, 0, 0, 0, 0, 14, 0, -166, 0, 0, 0, 0, 0, 0, 0, 42, 0, 42, 0, 0, 0, 0, 0, 0, 0, -90, 0, -2, 0, 0, 0, 0, 0, 0, 0, -236, 0, -22, 0, 0, 0, 0, 0, 0, 0, -300, 0, -108, 0, 0, 0, 0, 0, 0, 0, -90, 0, 206, 0, 0, 0, 0, 0, 0, 0, -54, 0, 24, 0, 0, 0, 0, 0, 0, 0, -258, 0, 250, 0, 0, 0, 0, 0, 0, 0, -100, 0, 46, 0, 0, 0, 0, 0, 0, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, -100, 0, 144, 0, 0, 0, 0, 0, 0, 0, 306, 0, 28, 0, 0, 0, 0, 0, 0, 0, -102, 0, -82, 0, 0, 0, 0, 0, 0, 0, 138, 0, 18, 0, 0, 0, 0, 0, 0, 0, -92, 0, -216, 0, 0, 0, 0, 0, 0, 0, -196, 0, -38, 0, 0, 0, 0, 0, 0, 0, -304, 0, 492, 0, 0, 0, 0, 0, 0, 0, -12, 0, 206, 0, 0, 0, 0, 0, 0, 0, -84, 0, -240, 0, 0, 0, 0, 0, 0, 0, -362, 0, 52, 0, 0, 0, 0, 0, 0, 0, 170, 0, -324, 0, 0, 0, 0, 0, 0, 0, -72, 0, 206, 0, 0, 0, 0, 0, 0, 0, 72, 0, 184, 0, 0, 0, 0, 0, 0, 0, -22, 0, 132, 0, 0, 0, 0, 0, 0, 0, -8, 0, 66, 0, 0, 0, 0, 0, 0, 0, -192, 0, -108, 0, 0, 0, 0, 0, 0, 0, 20, 0, -166, 0, 0, 0, 0, 0, 0, 0, -380, 0, -76, 0, 0, 0, 0, 0, 0, 0, 16, 0, -26, 0, 0, 0, 0, 0, 0, 0, -138, 0, -336, 0, 0, 0, 0, 0, 0, 0, -54, 0, -126, 0, 0, 0, 0, 0, 0, 0, 180, 0, 94, 0, 0, 0, 0, 0, 0, 0, -356, 0, 48, 0, 0, 0, 0, 0, 0, 0, -78, 0, 28, 0, 0, 0, 0, 0, 0, 0, 110, 0, 184, 0, 0, 0, 0, 0, 0, 0, -88, 0, -36, 0, 0, 0, 0, 0, 0, 0, 134, 0, -458, 0, 0, 0, 0, 0, 0, 0, 210, 0, 6, 0, 0, 0, 0, 0, 0, 0, 44, 0, -182, 0, 0, 0, 0, 0, 0, 0, -84, 0, -16, 0, 0, 0, 0, 0, 0, 0, -394, 0, 90, 0, 0, 0, 0, 0, 0, 0, 8, 0, -300, 0, 0, 0, 0, 0, 0, 0, 84, 0, 198, 0, 0, 0, 0, 0, 0, 0, -138, 0, 60, 0, 0, 0, 0, 0, 0, 0, -12, 0, -86, 0, 0, 0, 0, 0, 0, 0, -64, 0, 186, 0, 0, 0, 0, 0, 0, 0, -412, 0, 98, 0, 0, 0, 0, 0, 0, 0, 86, 0, -144, 0, 0, 0, 0, 0, 0, 0, -114, 0, 272, 0, 0, 0, 0, 0, 0, 0, 114, 0, 272, 0, 0, 0, 0, 0, 0, 0, 218, 0, 422, 0, 0, 0, 0, 0, 0, 0, -126, 0, 44, 0, 0, 0, 0, 0, 0, 0, -676, 0, 384, 0, 0, 0, 0, 0, 0, 0, -134, 0, 144, 0, 0, 0, 0, 0, 0, 0, -36, 0, -340, 0, 0, 0, 0, 0, 0, 0, 54, 0, 284, 0, 0, 0, 0, 0, 0, 0, -344, 0, -144, 0, 0, 0, 0, 0, 0, 0, 32, 0, -240, 0, 0, 0, 0, 0, 0, 0, -184, 0, 190, 0, 0, 0, 0, 0, 0, 0, -268, 0, 328, 0, 0, 0, 0, 0, 0, 0, -294, 0, -188, 0, 0, 0, 0, 0, 0, 0, 44, 0, -98, 0, 0, 0, 0, 0, 0, 0, -296, 0, -258, 0, 0, 0, 0, 0, 0, 0, 26, 0, 116, 0, 0, 0, 0, 0, 0, 0, -324, 0, 318, 0, 0, 0, 0, 0, 0, 0, 212, 0, -312, 0, 0, 0, 0, 0, 0, 0, 228, 0, -46, 0, 0, 0, 0, 0, 0, 0, 186, 0, 332, 0, 0, 0, 0, 0, 0, 0, -2, 0, -286, 0, 0, 0, 0, 0, 0, 0, -400, 0, -282, 0, 0, 0, 0, 0, 0, 0, 66, 0, 360, 0, 0, 0, 0, 0, 0, 0, -190, 0, 452, 0, 0, 0, 0, 0, 0, 0, -204, 0, 292, 0, 0, 0, 0, 0, 0, 0, -52, 0, -60, 0, 0, 0, 0, 0, 0, 0, 14, 0, -50, 0, 0, 0, 0, 0, 0, 0, -314, 0, -134, 0, 0, 0, 0, 0, 0, 0, -570, 0, 6, 0, 0, 0, 0, 0, 0, 0, -198, 0, 284, 0, 0, 0, 0, 0, 0, 0, -54, 0, -476, 0, 0, 0, 0, 0, 0, 0, 104, 0, 202, 0, 0, 0, 0, 0, 0, 0, -468, 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

  
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• mf_newspaces •

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

  
  {'Nk2': 14800, 'analytic_conductor': 29.544648747873744, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [3700, 2, [1851, 1777, 1001], [2, 1, 2]], 'conrey_index': 149, 'cusp_dim': 552, 'dim': 54, 'eis_dim': 36, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 13], 'hecke_orbit_code': 206191988340, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 4, 4, 6, 8, 10, 12], 'label': '3700.2.d', 'level': 3700, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 37], 'level_radical': 370, 'mf_dim': 588, 'mf_new_dim': 54, 'num_forms': 11, 'prim_orbit_index': 2, 'relative_dim': 54, 'sturm_bound': 1140, 'trace_bound': 19, 'trace_display': [0, 0, 0, 0], 'traces': [54, 0, 0, 0, 0, 0, 0, 0, -54, 0, -4, 0, 0, 0, 0, 0, 0, 0, -4, 0, 20, 0, 0, 0, 0, 0, 0, 0, 4, 0, -8, 0, 0, 0, 0, 0, 0, 0, -12, 0, 8, 0, 0, 0, 0, 0, 0, 0, -90, 0, 8, 0, 0, 0, 0, 0, 0, 0, 32, 0, 8, 0, 0, 0, 0, 0, 0, 0, -36, 0, 28, 0, 0, 0, 0, 0, 0, 0, 40, 0, 38, 0, 0, 0, 0, 0, 0, 0, 8, 0, -56, 0, 0, 0, 0, 0, 0, 0, 28, 0, -4, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 114, 0, 0, 0, 0, 0, 0, 0, 56, 0, -32, 0, 0, 0, 0, 0, 0, 0, -76, 0, 8, 0, 0, 0, 0, 0, 0, 0, -36, 0, -104, 0, 0, 0, 0, 0, 0, 0, 128, 0, -112, 0, 0, 0, 0, 0, 0, 0, -86, 0, -44, 0, 0, 0, 0, 0, 0, 0, 20, 0, 60, 0, 0, 0, 0, 0, 0, 0, 32, 0, -84, 0, 0, 0, 0, 0, 0, 0, 12, 0, 56, 0, 0, 0, 0, 0, 0, 0, 32, 0, 8, 0, 0, 0, 0, 0, 0, 0, -76, 0, 132, 0, 0, 0, 0, 0, 0, 0, -4, 0, -48, 0, 0, 0, 0, 0, 0, 0, -144, 0, 32, 0, 0, 0, 0, 0, 0, 0, -92, 0, 144, 0, 0, 0, 0, 0, 0, 0, 8, 0, 32, 0, 0, 0, 0, 0, 0, 0, -12, 0, -40, 0, 0, 0, 0, 0, 0, 0, 76, 0, -4, 0, 0, 0, 0, 0, 0, 0, -26, 0, 112, 0, 0, 0, 0, 0, 0, 0, 28, 0, 168, 0, 0, 0, 0, 0, 0, 0, 56, 0, 172, 0, 0, 0, 0, 0, 0, 0, 4, 0, -132, 0, 0, 0, 0, 0, 0, 0, -88, 0, -28, 0, 0, 0, 0, 0, 0, 0, 48, 0, -188, 0, 0, 0, 0, 0, 0, 0, -184, 0, -72, 0, 0, 0, 0, 0, 0, 0, 96, 0, 110, 0, 0, 0, 0, 0, 0, 0, -140, 0, 40, 0, 0, 0, 0, 0, 0, 0, 20, 0, -88, 0, 0, 0, 0, 0, 0, 0, -84, 0, 192, 0, 0, 0, 0, 0, 0, 0, -24, 0, 76, 0, 0, 0, 0, 0, 0, 0, -68, 0, 132, 0, 0, 0, 0, 0, 0, 0, -56, 0, 132, 0, 0, 0, 0, 0, 0, 0, -12, 0, -80, 0, 0, 0, 0, 0, 0, 0, -64, 0, 158, 0, 0, 0, 0, 0, 0, 0, 112, 0, -60, 0, 0, 0, 0, 0, 0, 0, -240, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, 16, 0, -24, 0, 0, 0, 0, 0, 0, 0, 388, 0, -84, 0, 0, 0, 0, 0, 0, 0, -4, 0, -32, 0, 0, 0, 0, 0, 0, 0, -92, 0, 84, 0, 0, 0, 0, 0, 0, 0, 216, 0, -28, 0, 0, 0, 0, 0, 0, 0, 2, 0, -188, 0, 0, 0, 0, 0, 0, 0, 132, 0, 68, 0, 0, 0, 0, 0, 0, 0, 220, 0, 156, 0, 0, 0, 0, 0, 0, 0, -72, 0, -352, 0, 0, 0, 0, 0, 0, 0, -28, 0, 160, 0, 0, 0, 0, 0, 0, 0, -52, 0, -72, 0, 0, 0, 0, 0, 0, 0, -32, 0, 356, 0, 0, 0, 0, 0, 0, 0, -100, 0, -156, 0, 0, 0, 0, 0, 0, 0, -20, 0, 60, 0, 0, 0, 0, 0, 0, 0, 256, 0, 152, 0, 0, 0, 0, 0, 0, 0, 36, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 172, 0, -76, 0, 0, 0, 0, 0, 0, 0, -48, 0, -108, 0, 0, 0, 0, 0, 0, 0, 132, 0, 76, 0, 0, 0, 0, 0, 0, 0, 88, 0, -24, 0, 0, 0, 0, 0, 0, 0, -80, 0, -52, 0, 0, 0, 0, 0, 0, 0, -24, 0, -188, 0, 0, 0, 0, 0, 0, 0, 96, 0, -388, 0, 0, 0, 0, 0, 0, 0, -16, 0, -100, 0, 0, 0, 0, 0, 0, 0, 282, 0, 4, 0, 0, 0, 0, 0, 0, 0, 8, 0, -332, 0, 0, 0, 0, 0, 0, 0, 52, 0, -236, 0, 0, 0, 0, 0, 0, 0, 20, 0, -12, 0, 0, 0, 0, 0, 0, 0, 4, 0, -240, 0, 0, 0, 0, 0, 0, 0, -124, 0, 56, 0, 0, 0, 0, 0, 0, 0, 148, 0, 116, 0, 0, 0, 0, 0, 0, 0, 136, 0, -164, 0, 0, 0, 0, 0, 0, 0, 104, 0, 40, 0, 0, 0, 0, 0, 0, 0, -92, 0, 168, 0, 0, 0, 0, 0, 0, 0, 52, 0, 80, 0, 0, 0, 0, 0, 0, 0, 52, 0, -138, 0, 0, 0, 0, 0, 0, 0, -208, 0, -36, 0, 0, 0, 0, 0, 0, 0, 136, 0, 44, 0, 0, 0, 0, 0, 0, 0, 44, 0, -180, 0, 0, 0, 0, 0, 0, 0, 192, 0, 340, 0, 0, 0, 0, 0, 0, 0, 128, 0, -84, 0, 0, 0, 0, 0, 0, 0, -40, 0, -236, 0, 0, 0, 0, 0, 0, 0, -200, 0, -156, 0, 0, 0, 0, 0, 0, 0, 4, 0, 160, 0, 0, 0, 0, 0, 0, 0, -208, 0, -304, 0, 0, 0, 0, 0, 0, 0, 76, 0, 336, 0, 0, 0, 0, 0, 0, 0, 108, 0, 216, 0, 0, 0, 0, 0, 0, 0, -36, 0, 322, 0, 0, 0, 0, 0, 0, 0, 48, 0, -84, 0, 0, 0, 0, 0, 0, 0, 204, 0, -4, 0, 0, 0, 0, 0, 0, 0, -252, 0, 116, 0, 0, 0, 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: 47177058
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 149, 'source_dim': 12, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036202465693300, 'source_is_minimal': False, 'source_label': '3700.2.d.k.149.2', 'source_level': 3700, 'target_conrey_index': 149, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45036202465693300, 'target_is_minimal': False, 'target_label': '3700.2.d.k.149.2', 'target_level': 3700, 'twist_class_label': '3700.2.a.m.1.1', 'twist_class_level': 3700, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47177059
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 149, 'source_dim': 12, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036202465693300, 'source_is_minimal': False, 'source_label': '3700.2.d.k.149.2', 'source_level': 3700, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043195562004084, 'target_is_minimal': True, 'target_label': '3700.2.a.m.1.1', 'target_level': 3700, 'twist_class_label': '3700.2.a.m.1.1', 'twist_class_level': 3700, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47177060
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 149, 'source_dim': 12, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036202465693300, 'source_is_minimal': False, 'source_label': '3700.2.d.k.149.2', 'source_level': 3700, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 58546795189374580, 'target_is_minimal': True, 'target_label': '3700.2.a.n.1.6', 'target_level': 3700, 'twist_class_label': '3700.2.a.m.1.1', 'twist_class_level': 3700, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47177061
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 149, 'source_dim': 12, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036202465693300, 'source_is_minimal': False, 'source_label': '3700.2.d.k.149.2', 'source_level': 3700, 'target_conrey_index': 149, 'target_dim': 12, 'target_embedding_index': 11, 'target_hecke_orbit_code': 45036202465693300, 'target_is_minimal': False, 'target_label': '3700.2.d.k.149.11', 'target_level': 3700, 'twist_class_label': '3700.2.a.m.1.1', 'twist_class_level': 3700, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3316925
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 45036202465693300, 'p': 2}
  • id: 3316926
    {'charpoly_factorization': [[[4, 0, 129, 0, 1098, 0, 959, 0, 255, 0, 27, 0, 1], 1]], 'hecke_orbit_code': 45036202465693300, 'p': 3}
  • id: 3316927
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 45036202465693300, 'p': 5}
  • id: 3316928
    {'charpoly_factorization': [[[599076, 0, 578313, 0, 186948, 0, 27888, 0, 2077, 0, 74, 0, 1], 1]], 'hecke_orbit_code': 45036202465693300, 'p': 7}
  • id: 3316929
    {'charpoly_factorization': [[[-18, 93, -41, -43, 9, 8, 1], 2]], 'hecke_orbit_code': 45036202465693300, 'p': 11}
  • id: 3316930
    {'charpoly_factorization': [[[183184, 0, 500073, 0, 266706, 0, 46799, 0, 3363, 0, 99, 0, 1], 1]], 'hecke_orbit_code': 45036202465693300, 'p': 13}
  • id: 3316931
    {'charpoly_factorization': [[[82944, 0, 224577, 0, 171334, 0, 37261, 0, 3132, 0, 100, 0, 1], 1]], 'hecke_orbit_code': 45036202465693300, 'p': 17}
  • id: 3316932
    {'charpoly_factorization': [[[127, 677, 341, -112, -64, 2, 1], 2]], 'hecke_orbit_code': 45036202465693300, 'p': 19}
  • id: 3316933
    {'charpoly_factorization': [[[2424249, 0, 6731334, 0, 1669921, 0, 157963, 0, 6846, 0, 136, 0, 1], 1]], 'hecke_orbit_code': 45036202465693300, 'p': 23}
  • id: 3316934
    {'charpoly_factorization': [[[-72, -147, -26, 85, 57, 13, 1], 2]], 'hecke_orbit_code': 45036202465693300, 'p': 29}
  • id: 3316935
    {'charpoly_factorization': [[[-11024, 1191, 1551, -124, -69, 3, 1], 2]], 'hecke_orbit_code': 45036202465693300, 'p': 31}
  • id: 3316936
    {'charpoly_factorization': [[[1, 0, 1], 6]], 'hecke_orbit_code': 45036202465693300, 'p': 37}
  • id: 3316937
    {'charpoly_factorization': [[[23031, 12042, -10484, 1607, 51, -22, 1], 2]], 'hecke_orbit_code': 45036202465693300, 'p': 41}
  • id: 3316938
    {'charpoly_factorization': [[[2424249, 0, 2668734, 0, 888921, 0, 120603, 0, 6742, 0, 152, 0, 1], 1]], 'hecke_orbit_code': 45036202465693300, 'p': 43}
  • id: 3316939
    {'charpoly_factorization': [[[57972996, 0, 115468497, 0, 16725528, 0, 921348, 0, 23085, 0, 258, 0, 1], 1]], 'hecke_orbit_code': 45036202465693300, 'p': 47}
  • id: 3316940
    {'charpoly_factorization': [[[6561, 0, 49572, 0, 55242, 0, 14418, 0, 1449, 0, 63, 0, 1], 1]], 'hecke_orbit_code': 45036202465693300, 'p': 53}
  • id: 3316941
    {'charpoly_factorization': [[[-2151, 5991, -1340, -1067, -69, 13, 1], 2]], 'hecke_orbit_code': 45036202465693300, 'p': 59}
  • id: 3316942
    {'charpoly_factorization': [[[-7346, 4245, 639, -388, -39, 9, 1], 2]], 'hecke_orbit_code': 45036202465693300, 'p': 61}
  • id: 3316943
    {'charpoly_factorization': [[[17391279376, 0, 4809315249, 0, 269718831, 0, 6437891, 0, 76140, 0, 441, 0, 1], 1]], 'hecke_orbit_code': 45036202465693300, 'p': 67}
  • id: 3316944
    {'charpoly_factorization': [[[-89118, -51621, -830, 2242, -51, -20, 1], 2]], 'hecke_orbit_code': 45036202465693300, 'p': 71}
  • id: 3316945
    {'charpoly_factorization': [[[82944, 0, 451118592, 0, 58045248, 0, 2653248, 0, 52096, 0, 425, 0, 1], 1]], 'hecke_orbit_code': 45036202465693300, 'p': 73}
  • id: 3316946
    {'charpoly_factorization': [[[107917, 105350, 7790, -2809, -211, 14, 1], 2]], 'hecke_orbit_code': 45036202465693300, 'p': 79}
  • id: 3316947
    {'charpoly_factorization': [[[1679616, 0, 18700713, 0, 4766518, 0, 447217, 0, 18480, 0, 304, 0, 1], 1]], 'hecke_orbit_code': 45036202465693300, 'p': 83}
  • id: 3316948
    {'charpoly_factorization': [[[130716, 108075, -1526, -3983, -216, 16, 1], 2]], 'hecke_orbit_code': 45036202465693300, 'p': 89}
  • id: 3316949
    {'charpoly_factorization': [[[79922682436, 0, 10920766845, 0, 546273765, 0, 12392924, 0, 129423, 0, 603, 0, 1], 1]], 'hecke_orbit_code': 45036202465693300, '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': 4, 'hecke_orbit': 11, 'label': '3700.2.d.k', 'level': 3700, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 55449079
    {'hecke_orbit_code': 45036202465693300, 'n': 1, 'trace_an': 12}
  • id: 55449080
    {'hecke_orbit_code': 45036202465693300, 'n': 2, 'trace_an': 0}
  • id: 55449081
    {'hecke_orbit_code': 45036202465693300, 'n': 3, 'trace_an': 0}
  • id: 55449082
    {'hecke_orbit_code': 45036202465693300, 'n': 4, 'trace_an': 0}
  • id: 55449083
    {'hecke_orbit_code': 45036202465693300, 'n': 5, 'trace_an': 0}
  • id: 55449084
    {'hecke_orbit_code': 45036202465693300, 'n': 6, 'trace_an': 0}
  • id: 55449085
    {'hecke_orbit_code': 45036202465693300, 'n': 7, 'trace_an': 0}
  • id: 55449086
    {'hecke_orbit_code': 45036202465693300, 'n': 8, 'trace_an': 0}
  • id: 55449087
    {'hecke_orbit_code': 45036202465693300, 'n': 9, 'trace_an': -18}
  • id: 55449088
    {'hecke_orbit_code': 45036202465693300, 'n': 10, 'trace_an': 0}
  • id: 55449089
    {'hecke_orbit_code': 45036202465693300, 'n': 11, 'trace_an': -16}
  • id: 55449090
    {'hecke_orbit_code': 45036202465693300, 'n': 12, 'trace_an': 0}
  • id: 55449091
    {'hecke_orbit_code': 45036202465693300, 'n': 13, 'trace_an': 0}
  • id: 55449092
    {'hecke_orbit_code': 45036202465693300, 'n': 14, 'trace_an': 0}
  • id: 55449093
    {'hecke_orbit_code': 45036202465693300, 'n': 15, 'trace_an': 0}
  • id: 55449094
    {'hecke_orbit_code': 45036202465693300, 'n': 16, 'trace_an': 0}
  • id: 55449095
    {'hecke_orbit_code': 45036202465693300, 'n': 17, 'trace_an': 0}
  • id: 55449096
    {'hecke_orbit_code': 45036202465693300, 'n': 18, 'trace_an': 0}
  • id: 55449097
    {'hecke_orbit_code': 45036202465693300, 'n': 19, 'trace_an': -4}
  • id: 55449098
    {'hecke_orbit_code': 45036202465693300, 'n': 20, 'trace_an': 0}
  • id: 55449099
    {'hecke_orbit_code': 45036202465693300, 'n': 21, 'trace_an': 20}
  • id: 55449100
    {'hecke_orbit_code': 45036202465693300, 'n': 22, 'trace_an': 0}
  • id: 55449101
    {'hecke_orbit_code': 45036202465693300, 'n': 23, 'trace_an': 0}
  • id: 55449102
    {'hecke_orbit_code': 45036202465693300, 'n': 24, 'trace_an': 0}
  • id: 55449103
    {'hecke_orbit_code': 45036202465693300, 'n': 25, 'trace_an': 0}
  • id: 55449104
    {'hecke_orbit_code': 45036202465693300, 'n': 26, 'trace_an': 0}
  • id: 55449105
    {'hecke_orbit_code': 45036202465693300, 'n': 27, 'trace_an': 0}
  • id: 55449106
    {'hecke_orbit_code': 45036202465693300, 'n': 28, 'trace_an': 0}
  • id: 55449107
    {'hecke_orbit_code': 45036202465693300, 'n': 29, 'trace_an': -26}
  • id: 55449108
    {'hecke_orbit_code': 45036202465693300, 'n': 30, 'trace_an': 0}
  • id: 55449109
    {'hecke_orbit_code': 45036202465693300, 'n': 31, 'trace_an': -6}
  • id: 55449110
    {'hecke_orbit_code': 45036202465693300, 'n': 32, 'trace_an': 0}
  • id: 55449111
    {'hecke_orbit_code': 45036202465693300, 'n': 33, 'trace_an': 0}
  • id: 55449112
    {'hecke_orbit_code': 45036202465693300, 'n': 34, 'trace_an': 0}
  • id: 55449113
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  • id: 55449114
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  • id: 55449115
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  • id: 55449116
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  • id: 55449117
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  • id: 55449118
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  • id: 55449119
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  • id: 55449120
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  • id: 55449121
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  • id: 55449122
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  • id: 55449123
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  • id: 55449124
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  • id: 55449125
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  • id: 55449126
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  • id: 55449127
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  • id: 55449128
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  • id: 55449129
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  • id: 55449130
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  • id: 55449131
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  • id: 55449132
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  • id: 55449133
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  • id: 55449134
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  • id: 55449135
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  • id: 55449136
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  • id: 55449137
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  • id: 55449138
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  • id: 55449139
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  • id: 55449140
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  • id: 55449141
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  • id: 55449142
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  • id: 55449143
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  • id: 55449144
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  • id: 55449145
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  • id: 55449146
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  • id: 55449147
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  • id: 55449148
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  • id: 55449149
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  • id: 55449150
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  • id: 55449151
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  • id: 55449152
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  • id: 55449153
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  • id: 55449154
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  • id: 55449155
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  • id: 55449156
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  • id: 55449157
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  • id: 55449158
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  • id: 55449159
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  • id: 55449160
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  • id: 55449161
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  • id: 55449162
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  • id: 55449163
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  • id: 55449164
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  • id: 55449165
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  • id: 55449166
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  • id: 55449167
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  • id: 55449168
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  • id: 55449169
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  • id: 55449170
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  • id: 55449171
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  • id: 55449172
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  • id: 55449173
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  • id: 55449174
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  • id: 55449175
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  • id: 55449176
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  • id: 55449177
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  • id: 55449178
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  • id: 55449179
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  • id: 55449180
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  • id: 55449181
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  • id: 55449182
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  • id: 55449183
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  • id: 55449184
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  • id: 55449185
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  • id: 55449186
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  • id: 55449187
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  • id: 55449188
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  • id: 55449189
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  • id: 55449190
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  • id: 55449191
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  • id: 55449192
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  • id: 55449193
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  • id: 55449194
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  • id: 55449195
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  • id: 55449196
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  • id: 55449197
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  • id: 55449198
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  • id: 55449199
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  • id: 55449200
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  • id: 55449201
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  • id: 55449202
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  • id: 55449203
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  • id: 55449204
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  • id: 55449205
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  • id: 55449206
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  • id: 55449207
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  • id: 55449208
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  • id: 55449209
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  • id: 55449210
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  • id: 55449211
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  • id: 55449212
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  • id: 55449213
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  • id: 55449214
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  • id: 55449215
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  • id: 55449216
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  • id: 55449217
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  • id: 55449218
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  • id: 55449219
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  • id: 55449220
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  • id: 55449221
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  • id: 55449222
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  • id: 55449223
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  • id: 55449224
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  • id: 55449225
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  • id: 55449226
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  • id: 55449227
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  • id: 55449228
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  • id: 55449229
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  • id: 55449230
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  • id: 55449231
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  • id: 55449232
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  • id: 55449233
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  • id: 55449234
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  • id: 55449235
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  • id: 55449236
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  • id: 55449237
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  • id: 55449238
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  • id: 55449239
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  • id: 55449240
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  • id: 55449241
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  • id: 55449242
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  • id: 55449243
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  • id: 55449244
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  • id: 55449245
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  • id: 55449246
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  • id: 55449247
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  • id: 55449248
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  • id: 55449249
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  • id: 55449250
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  • id: 55449251
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  • id: 55449252
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  • id: 55449253
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  • id: 55449254
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  • id: 55449255
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  • id: 55449256
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  • id: 55449257
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  • id: 55449258
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  • id: 55449259
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  • id: 55449260
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  • id: 55449261
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  • id: 55449262
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  • id: 55449263
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  • id: 55449264
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  • id: 55449265
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  • id: 55449266
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  • id: 55449267
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  • id: 55449268
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  • id: 55449269
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  • id: 55449270
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  • id: 55449271
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  • id: 55449272
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  • id: 55449273
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  • id: 55449274
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  • id: 55449275
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  • id: 55449276
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  • id: 55449277
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  • id: 55449278
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  • id: 55449280
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  • id: 55449281
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  • id: 55449286
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  • id: 55449287
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  • id: 55449288
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  • id: 55449290
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  • id: 55449291
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  • id: 55449292
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  • id: 55449293
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  • id: 55449294
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  • id: 55449295
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  • id: 55449296
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  • id: 55449297
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  • id: 55449298
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  • id: 55449299
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  • id: 55449300
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  • id: 55449302
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  • id: 55449303
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  • id: 55449304
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  • id: 55449305
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  • id: 55449306
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  • id: 55449307
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  • id: 55449308
    {'hecke_orbit_code': 45036202465693300, 'n': 821, 'trace_an': 204}
  • id: 55449309
    {'hecke_orbit_code': 45036202465693300, 'n': 823, 'trace_an': 0}
  • id: 55449310
    {'hecke_orbit_code': 45036202465693300, 'n': 827, 'trace_an': 0}
  • id: 55449311
    {'hecke_orbit_code': 45036202465693300, 'n': 829, 'trace_an': 96}
  • id: 55449312
    {'hecke_orbit_code': 45036202465693300, 'n': 839, 'trace_an': -42}
  • id: 55449313
    {'hecke_orbit_code': 45036202465693300, 'n': 841, 'trace_an': -238}
  • id: 55449314
    {'hecke_orbit_code': 45036202465693300, 'n': 853, 'trace_an': 0}
  • id: 55449315
    {'hecke_orbit_code': 45036202465693300, 'n': 857, 'trace_an': 0}
  • id: 55449316
    {'hecke_orbit_code': 45036202465693300, 'n': 859, 'trace_an': 112}
  • id: 55449317
    {'hecke_orbit_code': 45036202465693300, 'n': 863, 'trace_an': 0}
  • id: 55449318
    {'hecke_orbit_code': 45036202465693300, 'n': 877, 'trace_an': 0}
  • id: 55449319
    {'hecke_orbit_code': 45036202465693300, 'n': 881, 'trace_an': 252}
  • id: 55449320
    {'hecke_orbit_code': 45036202465693300, 'n': 883, 'trace_an': 0}
  • id: 55449321
    {'hecke_orbit_code': 45036202465693300, 'n': 887, 'trace_an': 0}
  • id: 55449322
    {'hecke_orbit_code': 45036202465693300, 'n': 907, 'trace_an': 0}
  • id: 55449323
    {'hecke_orbit_code': 45036202465693300, 'n': 911, 'trace_an': -38}
  • id: 55449324
    {'hecke_orbit_code': 45036202465693300, 'n': 919, 'trace_an': -14}
  • id: 55449325
    {'hecke_orbit_code': 45036202465693300, 'n': 929, 'trace_an': -26}
  • id: 55449326
    {'hecke_orbit_code': 45036202465693300, 'n': 937, 'trace_an': 0}
  • id: 55449327
    {'hecke_orbit_code': 45036202465693300, 'n': 941, 'trace_an': 270}
  • id: 55449328
    {'hecke_orbit_code': 45036202465693300, 'n': 947, 'trace_an': 0}
  • id: 55449329
    {'hecke_orbit_code': 45036202465693300, 'n': 953, 'trace_an': 0}
  • id: 55449330
    {'hecke_orbit_code': 45036202465693300, 'n': 961, 'trace_an': -78}
  • id: 55449331
    {'hecke_orbit_code': 45036202465693300, 'n': 967, 'trace_an': 0}
  • id: 55449332
    {'hecke_orbit_code': 45036202465693300, 'n': 971, 'trace_an': 22}
  • id: 55449333
    {'hecke_orbit_code': 45036202465693300, 'n': 977, 'trace_an': 0}
  • id: 55449334
    {'hecke_orbit_code': 45036202465693300, 'n': 983, 'trace_an': 0}
  • id: 55449335
    {'hecke_orbit_code': 45036202465693300, 'n': 991, 'trace_an': 4}
  • id: 55449336
    {'hecke_orbit_code': 45036202465693300, 'n': 997, 'trace_an': 0}