Newform data - 1400.2.q.l

Formats: - HTML - YAML - JSON - 2026-06-18T17:53:24.107846

• 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': 5600, 'analytic_conductor': 11.179056282979253, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 3, 'char_parity': 1, 'char_values': [1400, 3, [351, 701, 1177, 801], [3, 3, 3, 1]], 'cm_discs': [], 'conrey_index': 401, 'dim': 8, 'field_disc': 16990340409, 'field_disc_factorization': [[3, 4], [7, 2], [2069, 2]], 'field_poly': [1, 2, 11, -12, 50, 3, 8, -1, 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, [16, 44, 105, 68, 53, 10, 13, 3, 1]], [11, [17956, 6566, 7359, -1813, 1235, -98, 37, 0, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49540695446259064, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 3, 'hecke_ring_index_factorization': [[3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 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': '1400.2.q.l', 'level': 1400, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 7], 'level_radical': 70, 'minimal_twist': '1400.2.q.l', 'prim_orbit_index': 3, 'qexp_display': 'q+(\\beta _{1}+\\beta _{5})q^{3}+(-\\beta _{1}-\\beta _{3}+\\beta _{4})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1400.2.q', 'trace_display': [0, -3, 0, 3], 'trace_hash': 1118995466469112230, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.702', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.280', 'prec': 17}, {'__RealLiteral__': 0, 'data': '266.469', 'prec': 24}, {'__RealLiteral__': 0, 'data': '188.901', 'prec': 24}, {'__RealLiteral__': 0, 'data': '17890.005', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.006', 'prec': 17}, 'traces': [8, 0, -3, 0, 0, 0, 3, 0, -5, 0, 0, 0, -8, 0, 0, 0, 7, 0, 10, 0, 25, 0, 0, 0, 0, 0, 24, 0, 4, 0, 14, 0, -2, 0, 0, 0, 2, 0, 10, 0, -8, 0, 30, 0, 0, 0, 15, 0, -13, 0, -5, 0, 10, 0, 0, 0, -38, 0, 1, 0, 25, 0, -20, 0, 0, 0, 4, 0, -32, 0, -40, 0, 2, 0, 0, 0, -17, 0, -2, 0, -24, 0, 52, 0, 0, 0, -13, 0, 19, 0, 17, 0, 8, 0, 0, 0, -12, 0, -102, 0, 9, 0, -14, 0, 0, 0, -23, 0, -6, 0, -48, 0, 40, 0, 0, 0, 57, 0, 33, 0, -30, 0, 46, 0, 0, 0, -82, 0, 10, 0, 27, 0, -41, 0, 0, 0, -2, 0, 28, 0, -106, 0, -32, 0, 0, 0, 45, 0, 12, 0, -48, 0, 16, 0, 0, 0, 41, 0, 3, 0, 100, 0, 36, 0, 0, 0, -24, 0, 20, 0, 65, 0, -17, 0, 0, 0, 45, 0, -4, 0, 16, 0, -40, 0, 0, 0, 19, 0, -5, 0, 4, 0, 2, 0, 0, 0, -30, 0, 17, 0, 48, 0, -40, 0, 0, 0, 33, 0, 22, 0, -6, 0, -35, 0, 0, 0, 9, 0, -32, 0, -13, 0, -28, 0, 0, 0, -27, 0, 51, 0, 91, 0, 7, 0, 0, 0, -24, 0, -46, 0, 25, 0, -89, 0, 0, 0, -81, 0, -13, 0, -30, 0, 118, 0, 0, 0, 50, 0, 32, 0, -55, 0, -20, 0, 0, 0, -94, 0, 5, 0, 75, 0, -109, 0, 0, 0, -17, 0, 68, 0, -82, 0, -47, 0, 0, 0, 100, 0, 33, 0, -27, 0, -36, 0, 0, 0, 123, 0, 25, 0, 75, 0, -24, 0, 0, 0, 78, 0, -6, 0, 69, 0, -35, 0, 0, 0, 29, 0, 11, 0, 0, 0, 72, 0, 0, 0, 82, 0, 18, 0, 3, 0, -15, 0, 0, 0, -72, 0, -24, 0, 53, 0, 27, 0, 0, 0, -31, 0, -84, 0, -206, 0, -24, 0, 0, 0, -38, 0, -25, 0, -50, 0, 108, 0, 0, 0, -45, 0, 41, 0, -8, 0, 19, 0, 0, 0, -146, 0, -110, 0, -16, 0, -3, 0, 0, 0, -52, 0, -25, 0, -116, 0, 80, 0, 0, 0, 2, 0, 102, 0, -59, 0, 31, 0, 0, 0, -72, 0, 106, 0, 76, 0, -75, 0, 0, 0, -106, 0, 60, 0, -150, 0, 19, 0, 0, 0, 113, 0, -45, 0, -59, 0, 2, 0, 0, 0, 67, 0, -22, 0, 157, 0, -5, 0, 0, 0, 26, 0, -4, 0, 67, 0, -77, 0, 0, 0, -26, 0, -25, 0, -26, 0, -2, 0, 0, 0, 9, 0, -98, 0, 7, 0, 97, 0, 0, 0, -24, 0, -35, 0, 42, 0, -41, 0, 0, 0, -21, 0, -150, 0, -112, 0, 22, 0, 0, 0, -49, 0, 13, 0, 26, 0, 52, 0, 0, 0, -44, 0, 20, 0, 16, 0, 105, 0, 0, 0, -118, 0, -8, 0, -25, 0, -49, 0, 0, 0, -31, 0, -66, 0, -106, 0, 114, 0, 0, 0, -4, 0, 165, 0, -10, 0, 53, 0, 0, 0, -58, 0, 47, 0, 106, 0, -90, 0, 0, 0, -9, 0, -54, 0, -152, 0, -105, 0, 0, 0, 233, 0, -13, 0, -9, 0, -62, 0, 0, 0, 43, 0, 42, 0, 64, 0, -21, 0, 0, 0, 172, 0, -12, 0, 139, 0, 1, 0, 0, 0, 71, 0, 39, 0, 54, 0, 60, 0, 0, 0, 31, 0, 76, 0, 9, 0, -56, 0, 0, 0, 120, 0, 73, 0, 108, 0, 80, 0, 0, 0, -22, 0, -46, 0, 12, 0, -36, 0, 0, 0, 34, 0, -43, 0, 66, 0, -82, 0, 0, 0, 38, 0, 6, 0, -34, 0, -14, 0, 0, 0, -140, 0, -94, 0, -12, 0, 30, 0, 0, 0, -67, 0, -21, 0, 122, 0, 132, 0, 0, 0, 78, 0, -66, 0, -64, 0, -18, 0, 0, 0, -142, 0, 3, 0, 44, 0, 55, 0, 0, 0, -24, 0, 82, 0, -44, 0, 43, 0, 0, 0, 99, 0, 61, 0, -1, 0, -34, 0, 0, 0, 161, 0, -36, 0, 79, 0, -18, 0, 0, 0, 78, 0, 202, 0, 5, 0, -51, 0, 0, 0, 72, 0, -3, 0, 224, 0, -36, 0, 0, 0, -83, 0, -1, 0, 39, 0, -22, 0, 0, 0, 36, 0, -165, 0, -10, 0, -167, 0, 0, 0, -22, 0, -166, 0, 84, 0, 33, 0, 0, 0, -58, 0, -123, 0, 34, 0, 162, 0, 0, 0, -117, 0, 41, 0, 61, 0, 7, 0, 0, 0, -38, 0, 4, 0, 23, 0, -152, 0, 0, 0, -95, 0, -6, 0, -78, 0, 50, 0, 0, 0, 7, 0, 222, 0, -133, 0, 13, 0, 0, 0, -30, 0, 116, 0, 97, 0, -8, 0, 0, 0, -65, 0, -2, 0, -28, 0, -114, 0, 0, 0, 184, 0, 59, 0, -57, 0, -32, 0, 0, 0, 83, 0, 14, 0, 6, 0, -35, 0, 0, 0, -102, 0, -126, 0, 84, 0, 24, 0, 0, 0, 66, 0, -15, 0, -116, 0, 184, 0, 0, 0, -43, 0, -87, 0, 100, 0, -31, 0, 0, 0, 162, 0, -34, 0, -5, 0, 224, 0, 0, 0, 85, 0, 78, 0, -22, 0, 95, 0, 0, 0, -97, 0, 18, 0, -108, 0, 36, 0, 0, 0, -36, 0, -65, 0, -128, 0, 84, 0, 0, 0, -24, 0, -36, 0, -76, 0, 94, 0, 0, 0, -26, 0, -52, 0, -90, 0, 10, 0, 0, 0, 26, 0, -94, 0, 26, 0, 40, 0, 0, 0, -38, 0, 12, 0, -99, 0, -125, 0, 0, 0, -107, 0, -34, 0, -294, 0, -31, 0, 0, 0, -2, 0, 85, 0, -8, 0, 126, 0, 0, 0, -8, 0, -25, 0, 92, 0, 29, 0, 0, 0, -10, 0, 34, 0, -82, 0, 32, 0, 0, 0, -6, 0, -43, 0, -86, 0, -148, 0, 0, 0, -37, 0, -71, 0, -3, 0, -44, 0, 0, 0, -8, 0, -7, 0, -115, 0, 29, 0, 0, 0, -5, 0, 116, 0, 124, 0, 86, 0, 0, 0, 43, 0, -108, 0, 35, 0, -114, 0, 0, 0, -78, 0, -54, 0, -54, 0, -47, 0, 0, 0, -124, 0, -90, 0, -31, 0, -119, 0, 0, 0, -113, 0, -41, 0, -82, 0, -60, 0, 0, 0, 34, 0, 9, 0, 6, 0, -13, 0, 0, 0, -48, 0, 59, 0, 57, 0, 49, 0, 0, 0, 51, 0, 284, 0, 74, 0, -19, 0, 0, 0, -51, 0, 76, 0, 92, 0, 12, 0, 0, 0, 44, 0, 46, 0, -29, 0, -52, 0, 0, 0, 94, 0, -32, 0, -16, 0, 63, 0, 0, 0, 31, 0, 16, 0, 308, 0, -2, 0, 0, 0, 36, 0, 5, 0, 65, 0, 43, 0, 0, 0, 102, 0, -51, 0, 39, 0, 38, 0, 0, 0, 46, 0, -230, 0, -18, 0, -14, 0, 0, 0, -300, 0, -62, 0, 13, 0, 54, 0, 0, 0, -101, 0, 24, 0, -225, 0, 56, 0, 0, 0, -214, 0, 84, 0, -57, 0, 89, 0, 0, 0, 45, 0, 62, 0, -130, 0, -342, 0, 0, 0, -1, 0, 71, 0, 14, 0, 27, 0, 0, 0, -46, 0, 92, 0, -173, 0, 52, 0, 0, 0, 29, 0, 56, 0, 48, 0, 53, 0, 0, 0, -6, 0, 28, 0, -21, 0, -172, 0, 0, 0, 60, 0, -62, 0, 73, 0, 25, 0, 0, 0, 352, 0, -52, 0, 7, 0, -14, 0, 0, 0, 36, 0, 49, 0, 174, 0, -126, 0, 0, 0, -9, 0, -137, 0, -55, 0, -27, 0, 0, 0, 140, 0, -106, 0, -50, 0, -129, 0, 0, 0, 54, 0, 164, 0, 294, 0, -2, 0, 0, 0, -73, 0, 84, 0, 135, 0, 68, 0, 0, 0, -45, 0, -64, 0, -106, 0, -43, 0, 0, 0, 96, 0, 294, 0, -7, 0, 1, 0, 0, 0, 30, 0, 58, 0, 86, 0, -70, 0, 0, 0, -84, 0, 165, 0, 134, 0, -130, 0, 0, 0, 8, 0, -108, 0, -29, 0, -166, 0, 0, 0, 47, 0, -66, 0, 164, 0, -142, 0, 0, 0, 34, 0, -39, 0, 14, 0, -66, 0, 0, 0, -68, 0, 47, 0, -41, 0, -86, 0, 0, 0, 264, 0, 246, 0, 46, 0, 57, 0, 0, 0, 72, 0, 103, 0, -106, 0, 110, 0, 0, 0, -58, 0, -179, 0, -10, 0, -70, 0, 0, 0, 188, 0, 57, 0, -107, 0, 150, 0, 0, 0, 184, 0, 126, 0, 180, 0, 84, 0, 0, 0, -80, 0, -2, 0, 7, 0, 56, 0, 0, 0, 12, 0, 36, 0, -23, 0, -142, 0, 0, 0, -66, 0, -78, 0, -85, 0, 273, 0, 0, 0, -35, 0, 97, 0, 16, 0, -32, 0, 0, 0, -35, 0, -178, 0, -79, 0, 45, 0, 0, 0, -112, 0, 20, 0, -170, 0, 140, 0, 0, 0, -25, 0, -206, 0, 228, 0, 97, 0, 0, 0, -83, 0, 103, 0, -83, 0, -226, 0, 0, 0, -35, 0, -67, 0, -72, 0, -66, 0, 0, 0, 56, 0, -134, 0, -61, 0, 121, 0, 0, 0, 46, 0, -109, 0, 66, 0, -380, 0, 0, 0, -123, 0, 49, 0, -47, 0, 93, 0, 0, 0, -118, 0, -175, 0, -44, 0, -74, 0, 0, 0, -5, 0, -276, 0, 420, 0, 57, 0, 0, 0, -200, 0, -27, 0, 12, 0, -266, 0, 0, 0, -102, 0, 39, 0, 28, 0, 148, 0, 0, 0, -84, 0, 326, 0, -125, 0, -31, 0, 0, 0, 153, 0, -12, 0, -50, 0, -276, 0, 0, 0, -19, 0, 17, 0, 7, 0, -92, 0, 0, 0, 156, 0, 100, 0, -100, 0, 133, 0, 0, 0, 7, 0, 172, 0, 212, 0, -25, 0, 0, 0, 48, 0, -61, 0, 19, 0, -94, 0, 0, 0, -28, 0, 117, 0, -168, 0, -31, 0, 0, 0, -250, 0, -30, 0, 35, 0, -101, 0, 0, 0, -84, 0, 213, 0, -88, 0, 498, 0, 0, 0, -44, 0, -237, 0, 190, 0, 45, 0, 0, 0, 66, 0, -115, 0, -126, 0, 308, 0, 0, 0, -1, 0, 30, 0, -152, 0, 70, 0, 0, 0, -92, 0, 55, 0, -43, 0, 310, 0, 0, 0, -9, 0, -66, 0, -290, 0, 71, 0, 0, 0, 278, 0, -320, 0, -155, 0, 129, 0, 0, 0, 56, 0, 15, 0, -314, 0, 78, 0, 0, 0, 56, 0, -56, 0, 38, 0, 106, 0, 0, 0, -228, 0, -50, 0, -189, 0, 119, 0, 0, 0, 126, 0, -114, 0, 166, 0, 76, 0, 0, 0, -269, 0, 4, 0, 8, 0, 326, 0, 0, 0, -244, 0, -237, 0, -65, 0, -3, 0, 0, 0, -40, 0, 90, 0, -158, 0, 91, 0, 0, 0, 165, 0, 97, 0, 122, 0, -542, 0, 0, 0, -71, 0, -2, 0, 6, 0, -54, 0, 0, 0, 274, 0, 82, 0, -267, 0, 94, 0, 0, 0, -56, 0, 254, 0, 146, 0, 64, 0, 0, 0, -4, 0, -221, 0, 117, 0, -290, 0, 0, 0, -49, 0, 101, 0, -35, 0, -32, 0, 0, 0, 184, 0, 156, 0, -29, 0, 48, 0, 0, 0, -151, 0, 9, 0, 350, 0, 50, 0, 0, 0, -133, 0, -239, 0, 57, 0, -94, 0, 0, 0, 314, 0, -165, 0, 85, 0, 27, 0, 0, 0, 143, 0, 158, 0, 18, 0, 133, 0, 0, 0, -221, 0, 254, 0, 192, 0, -96, 0, 0, 0, 59, 0, 110, 0, -191, 0, -140, 0, 0, 0, 272, 0, -70, 0, -61, 0, 150, 0, 0, 0, 128, 0, -180, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
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[-4, -7, 4, 0, -13, 5, 0, 4], [-3, 3, 3, 0, 5, 29, 0, 3], [-43, 0, -4, 4, 0, 0, 3, 0], [-17, 0, -4, -15, 0, 0, -1, 0], [-6, -18, 0, -18, 7, -6, 7, -12], [15, -9, -15, 0, 11, 12, 0, -15], [-32, 0, -4, 4, 0, 0, -1, 0], [-5, 7, 5, 0, 12, -9, 0, 5], [3, 11, 0, 11, 16, 3, 16, 2], [-9, -10, 9, 0, 8, -6, 0, 9], [-7, 2, 7, 0, 3, 24, 0, 7], [-10, 0, 6, -2, 0, 0, 8, 0], [-16, 11, 0, 11, -22, -16, -22, 6], [-5, -6, 5, 0, 6, 22, 0, 5], [23, 0, -9, 2, 0, 0, -3, 0], [-4, 10, 4, 0, -3, -26, 0, 4], [-19, 0, -2, -5, 0, 0, -14, 0], [0, 8, 0, 0, -4, 7, 0, 0], [27, 3, 0, 3, -11, 27, -11, -5], [-15, 0, 4, 1, 0, 0, -19, 0], [-9, 0, -11, 12, 0, 0, -13, 0], [64, 0, -1, -5, 0, 0, 5, 0], [-6, -11, 6, 0, 16, -9, 0, 6], [-30, 14, 0, 14, -9, -30, -9, -5], [-4, 11, 4, 0, -8, -3, 0, 4], [17, -2, -17, 0, -3, -11, 0, -17], [10, -9, 0, -9, -11, 10, -11, -8], [33, 0, -6, -7, 0, 0, -6, 0], [22, -5, 0, -5, -19, 22, -19, -1], [14, 14, 0, 14, -3, 14, -3, 4], [8, -7, -8, 0, -11, -7, 0, -8], [-1, -6, 0, -6, -12, -1, -12, 6], [-47, 3, 0, 3, -4, -47, -4, -3], [2, 14, -2, 0, 3, -13, 0, -2], [-1, -6, 1, 0, 2, -3, 0, 1], [-3, 0, -4, 22, 0, 0, -11, 0], [24, 0, -5, 13, 0, 0, 6, 0], [-17, 15, 0, 15, -10, -17, -10, -4], [-9, -26, 0, -26, -7, -9, -7, 1], [-1, -4, 1, 0, -2, 11, 0, 1], [37, 0, 12, -7, 0, 0, 21, 0], [-10, -2, 10, 0, 0, -26, 0, 10], [40, 0, 4, 1, 0, 0, 20, 0], [7, 11, -7, 0, -4, -25, 0, -7], [-8, 3, 8, 0, -4, 7, 0, 8], [-7, 8, 0, 8, -1, -7, -1, 1], [45, 0, -4, 5, 0, 0, -4, 0], [-2, 0, 7, 7, 0, 0, -13, 0], [1, 9, -1, 0, 6, 47, 0, -1], [21, 3, 0, 3, -15, 21, -15, -13], [-15, 0, 1, 34, 0, 0, -22, 0], [30, 16, 0, 16, -3, 30, -3, 0], [37, 0, -11, -8, 0, 0, -1, 0], [35, 14, 0, 14, -4, 35, -4, 8], [30, 2, 0, 2, -9, 30, -9, -4], [0, 14, 0, 0, -3, 47, 0, 0]], 'char_orbit_index': 17, 'field_poly': [1, 2, 11, -12, 50, 3, 8, -1, 1], 'hecke_orbit_code': 49540695446259064, 'hecke_ring_character_values': [[351, [1, 0, 0, 0, 0, 0, 0, 0]], [701, [1, 0, 0, 0, 0, 0, 0, 0]], [1177, [1, 0, 0, 0, 0, 0, 0, 0]], [801, [-1, 0, 0, 0, 0, -1, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1381, 4143, 4143, 4143, 4143, 4143], 'hecke_ring_inverse_denominators': [1, 1, 1, 1, 1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0], [-4, 1, 0, 1, 0, -4, 0, 1], [-2, 0, -1, 8, 0, 0, -1, 0], [8, -13, -8, 0, 1, 30, 0, -8], [43, -66, 0, -66, 8, 43, 8, -13], [177, 0, 66, -140, 0, 0, 13, 0], [-140, 568, 140, 0, -66, -481, 0, 140]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0], [-3755, 36, 156, 4685, 456, 636, -31, 84], [793, 159, 689, 19196, 2014, 2809, -252, 371], [-2464, 36375, -26048, 34144, -1885, 5984, -1056, 634], [-2716, 8034, -28712, 37636, -430, 6596, -1164, 793], [9323, 1164, 5044, 135370, 14744, 20564, -1923, 2716], [4915, 27834, -111394, 131348, -3734, 23575, -4404, 2801]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 8, 'label': '1400.2.q.l', 'level': 1400, 'maxp': 1999, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 5600, 'analytic_conductor': 11.179056282979253, 'char_conductor': 7, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 3, 'char_parity': 1, 'char_values': [1400, 3, [351, 701, 1177, 801], [3, 3, 3, 1]], 'conrey_index': 401, 'cusp_dim': 432, 'dim': 76, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 11], 'hecke_orbit_code': 1099545183608, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 4, 6, 6, 6, 8, 8, 12, 12], 'label': '1400.2.q', 'level': 1400, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 7], 'level_radical': 70, 'mf_dim': 528, 'mf_new_dim': 76, 'num_forms': 15, 'prim_orbit_index': 3, 'relative_dim': 38, 'sturm_bound': 480, 'trace_bound': 7, 'trace_display': [0, -2, 0, -4], 'traces': [76, 0, -2, 0, 0, 0, -4, 0, -36, 0, 2, 0, -8, 0, 0, 0, 2, 0, 10, 0, 18, 0, -10, 0, 0, 0, 4, 0, 16, 0, 10, 0, -6, 0, 0, 0, -6, 0, 4, 0, 24, 0, -32, 0, 0, 0, -6, 0, -20, 0, 22, 0, -6, 0, 0, 0, -36, 0, 18, 0, 2, 0, 40, 0, 0, 0, 14, 0, -28, 0, 0, 0, 26, 0, 0, 0, 34, 0, 30, 0, -22, 0, 72, 0, 0, 0, 24, 0, -10, 0, 16, 0, 46, 0, 0, 0, 8, 0, -112, 0, -42, 0, -6, 0, 0, 0, 30, 0, 14, 0, -108, 0, 48, 0, 0, 0, 4, 0, 10, 0, -72, 0, -8, 0, 0, 0, -8, 0, -44, 0, 18, 0, -66, 0, 0, 0, 14, 0, -32, 0, 4, 0, -48, 0, 0, 0, -98, 0, 30, 0, -86, 0, -136, 0, 0, 0, -18, 0, -78, 0, 118, 0, -50, 0, 0, 0, 16, 0, 124, 0, 84, 0, -14, 0, 0, 0, -14, 0, 2, 0, 104, 0, -4, 0, 0, 0, -26, 0, 24, 0, 54, 0, -34, 0, 0, 0, -24, 0, 38, 0, -26, 0, 112, 0, 0, 0, -40, 0, 20, 0, 104, 0, 104, 0, 0, 0, 50, 0, 22, 0, 68, 0, 64, 0, 0, 0, 14, 0, 46, 0, -70, 0, 70, 0, 0, 0, 20, 0, 56, 0, -74, 0, -28, 0, 0, 0, -8, 0, -16, 0, -80, 0, 52, 0, 0, 0, 10, 0, -2, 0, -92, 0, 70, 0, 0, 0, 116, 0, -54, 0, -94, 0, -132, 0, 0, 0, 26, 0, 88, 0, -56, 0, -78, 0, 0, 0, 28, 0, -44, 0, 4, 0, -160, 0, 0, 0, -94, 0, 136, 0, 60, 0, -118, 0, 0, 0, -64, 0, -4, 0, 86, 0, 42, 0, 0, 0, -22, 0, 0, 0, -36, 0, -164, 0, 0, 0, 122, 0, 14, 0, 70, 0, -48, 0, 0, 0, 8, 0, 8, 0, -62, 0, 104, 0, 0, 0, -14, 0, 104, 0, -112, 0, 94, 0, 0, 0, 42, 0, 74, 0, -88, 0, 264, 0, 0, 0, 106, 0, 16, 0, -238, 0, 70, 0, 0, 0, 16, 0, -152, 0, -160, 0, -18, 0, 0, 0, 64, 0, -98, 0, -148, 0, 204, 0, 0, 0, -22, 0, -16, 0, -94, 0, -16, 0, 0, 0, -148, 0, 82, 0, 18, 0, -110, 0, 0, 0, -4, 0, 32, 0, -232, 0, -216, 0, 0, 0, -98, 0, -80, 0, 6, 0, -104, 0, 0, 0, -90, 0, -162, 0, 84, 0, -102, 0, 0, 0, -180, 0, 56, 0, 104, 0, 94, 0, 0, 0, -58, 0, -34, 0, 208, 0, 16, 0, 0, 0, -98, 0, -74, 0, 202, 0, -52, 0, 0, 0, 80, 0, 30, 0, -32, 0, 224, 0, 0, 0, -70, 0, -68, 0, -72, 0, 96, 0, 0, 0, 8, 0, -38, 0, 124, 0, 56, 0, 0, 0, 14, 0, 102, 0, -210, 0, 122, 0, 0, 0, 220, 0, 52, 0, -66, 0, -18, 0, 0, 0, 30, 0, 44, 0, -232, 0, 144, 0, 0, 0, -70, 0, -10, 0, -26, 0, 128, 0, 0, 0, 200, 0, -156, 0, 28, 0, -174, 0, 0, 0, 54, 0, 24, 0, -204, 0, -134, 0, 0, 0, 98, 0, -42, 0, -26, 0, -116, 0, 0, 0, -38, 0, 74, 0, 44, 0, -126, 0, 0, 0, 40, 0, -188, 0, 304, 0, -14, 0, 0, 0, -102, 0, 102, 0, 32, 0, -352, 0, 0, 0, 150, 0, 272, 0, 72, 0, 22, 0, 0, 0, 8, 0, 154, 0, 294, 0, 82, 0, 0, 0, 98, 0, -12, 0, 160, 0, 228, 0, 0, 0, 4, 0, 132, 0, 110, 0, 192, 0, 0, 0, 90, 0, -238, 0, -22, 0, 142, 0, 0, 0, 72, 0, 88, 0, -122, 0, -84, 0, 0, 0, 72, 0, 192, 0, 428, 0, 16, 0, 0, 0, 6, 0, -208, 0, -102, 0, 82, 0, 0, 0, -76, 0, -28, 0, 206, 0, -336, 0, 0, 0, -32, 0, -340, 0, 16, 0, -186, 0, 0, 0, -234, 0, 2, 0, 136, 0, -236, 0, 0, 0, 4, 0, -90, 0, 414, 0, -118, 0, 0, 0, -208, 0, 228, 0, 128, 0, 62, 0, 0, 0, -30, 0, 74, 0, 600, 0, 16, 0, 0, 0, -164, 0, -174, 0, 138, 0, -112, 0, 0, 0, -176, 0, -182, 0, -70, 0, 218, 0, 0, 0, -140, 0, -296, 0, 436, 0, 142, 0, 0, 0, 152, 0, -180, 0, 172, 0, 256, 0, 0, 0, -22, 0, 166, 0, -60, 0, 108, 0, 0, 0, -168, 0, -84, 0, -168, 0, 46, 0, 0, 0, -30, 0, -90, 0, -152, 0, 164, 0, 0, 0, 16, 0, 312, 0, -118, 0, 38, 0, 0, 0, 208, 0, -6, 0, 98, 0, -154, 0, 0, 0, -6, 0, -104, 0, 156, 0, -104, 0, 0, 0, 100, 0, 86, 0, -126, 0, -304, 0, 0, 0, -42, 0, -54, 0, 72, 0, -42, 0, 0, 0, -72, 0, -92, 0, -124, 0, 68, 0, 0, 0, -14, 0, -152, 0, -88, 0, -304, 0, 0, 0, 98, 0, 220, 0, -30, 0, -114, 0, 0, 0, -120, 0, 220, 0, -62, 0, 180, 0, 0, 0, 110, 0, 128, 0, 504, 0, 120, 0, 0, 0, 206, 0, 14, 0, -116, 0, 88, 0, 0, 0, 180, 0, -118, 0, -230, 0, 98, 0, 0, 0, 248, 0, 172, 0, -310, 0, -108, 0, 0, 0, 218, 0, -4, 0, -164, 0, 136, 0, 0, 0, -16, 0, -530, 0, -12, 0, 60, 0, 0, 0, -200, 0, 50, 0, -114, 0, -228, 0, 0, 0, 90, 0, 68, 0, -424, 0, -118, 0, 0, 0, -376, 0, 108, 0, -46, 0, -12, 0, 0, 0, -34, 0, 174, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 726443
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 17, 'source_dim': 8, 'source_hecke_orbit': 12, 'source_is_minimal': True, 'source_label': '1400.2.q.l', 'source_level': 1400, 'target_char_orbit': 17, 'target_dim': 8, 'target_hecke_orbit': 12, 'target_is_minimal': True, 'target_label': '1400.2.q.l', 'target_level': 1400, 'twist_class_label': '1400.2.q.l', 'twist_class_level': 1400, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 726444
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 8, 'source_hecke_orbit': 12, 'source_is_minimal': True, 'source_label': '1400.2.q.l', 'source_level': 1400, 'target_char_orbit': 17, 'target_dim': 8, 'target_hecke_orbit': 12, 'target_is_minimal': True, 'target_label': '1400.2.q.l', 'target_level': 1400, 'twist_class_label': '1400.2.q.l', 'twist_class_level': 1400, 'twisting_char_label': '7.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 726445
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 8, 'source_hecke_orbit': 12, 'source_is_minimal': True, 'source_label': '1400.2.q.l', 'source_level': 1400, 'target_char_orbit': 17, 'target_dim': 8, 'target_hecke_orbit': 13, 'target_is_minimal': True, 'target_label': '1400.2.q.m', 'target_level': 1400, 'twist_class_label': '1400.2.q.l', 'twist_class_level': 1400, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 726446
    {'conductor': 35, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 8, 'source_hecke_orbit': 12, 'source_is_minimal': True, 'source_label': '1400.2.q.l', 'source_level': 1400, 'target_char_orbit': 17, 'target_dim': 8, 'target_hecke_orbit': 13, 'target_is_minimal': True, 'target_label': '1400.2.q.m', 'target_level': 1400, 'twist_class_label': '1400.2.q.l', 'twist_class_level': 1400, 'twisting_char_label': '35.j', 'twisting_char_orbit': 10, 'weight': 2}
  • id: 726447
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 8, 'source_hecke_orbit': 12, 'source_is_minimal': True, 'source_label': '1400.2.q.l', 'source_level': 1400, 'target_char_orbit': 34, 'target_dim': 16, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '1400.2.bh.j', 'target_level': 1400, 'twist_class_label': '1400.2.q.l', 'twist_class_level': 1400, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 726448
    {'conductor': 35, 'degree': 4, 'multiplicity': 2, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 8, 'source_hecke_orbit': 12, 'source_is_minimal': True, 'source_label': '1400.2.q.l', 'source_level': 1400, 'target_char_orbit': 34, 'target_dim': 16, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '1400.2.bh.j', 'target_level': 1400, 'twist_class_label': '1400.2.q.l', 'twist_class_level': 1400, 'twisting_char_label': '35.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 726449
    {'conductor': 35, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 8, 'source_hecke_orbit': 12, 'source_is_minimal': True, 'source_label': '1400.2.q.l', 'source_level': 1400, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 62, 'target_is_minimal': False, 'target_label': '9800.2.a.cj', 'target_level': 9800, 'twist_class_label': '1400.2.q.l', 'twist_class_level': 1400, 'twisting_char_label': '35.j', 'twisting_char_orbit': 10, 'weight': 2}
  • id: 726450
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 8, 'source_hecke_orbit': 12, 'source_is_minimal': True, 'source_label': '1400.2.q.l', 'source_level': 1400, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 63, 'target_is_minimal': False, 'target_label': '9800.2.a.ck', 'target_level': 9800, 'twist_class_label': '1400.2.q.l', 'twist_class_level': 1400, 'twisting_char_label': '7.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 726451
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 8, 'source_hecke_orbit': 12, 'source_is_minimal': True, 'source_label': '1400.2.q.l', 'source_level': 1400, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 72, 'target_is_minimal': False, 'target_label': '9800.2.a.ct', 'target_level': 9800, 'twist_class_label': '1400.2.q.l', 'twist_class_level': 1400, 'twisting_char_label': '7.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 726452
    {'conductor': 35, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 8, 'source_hecke_orbit': 12, 'source_is_minimal': True, 'source_label': '1400.2.q.l', 'source_level': 1400, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 73, 'target_is_minimal': False, 'target_label': '9800.2.a.cu', 'target_level': 9800, 'twist_class_label': '1400.2.q.l', 'twist_class_level': 1400, 'twisting_char_label': '35.i', 'twisting_char_orbit': 9, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1921025
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 49540695446259064, 'p': 2}
  • id: 1921026
    {'charpoly_factorization': [[[16, 44, 105, 68, 53, 10, 13, 3, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 3}
  • id: 1921027
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 49540695446259064, 'p': 5}
  • id: 1921028
    {'charpoly_factorization': [[[2401, -1029, 539, -231, 135, -33, 11, -3, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 7}
  • id: 1921029
    {'charpoly_factorization': [[[17956, 6566, 7359, -1813, 1235, -98, 37, 0, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 11}
  • id: 1921030
    {'charpoly_factorization': [[[-84, -105, -23, 4, 1], 2]], 'hecke_orbit_code': 49540695446259064, 'p': 13}
  • id: 1921031
    {'charpoly_factorization': [[[25, 90, 289, 196, 170, -85, 42, -7, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 17}
  • id: 1921032
    {'charpoly_factorization': [[[678976, -295816, 118169, -21147, 4583, -588, 113, -10, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 19}
  • id: 1921033
    {'charpoly_factorization': [[[908209, 86723, 83568, -7189, 5288, -182, 79, 0, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 23}
  • id: 1921034
    {'charpoly_factorization': [[[-222, 219, -49, -2, 1], 2]], 'hecke_orbit_code': 49540695446259064, 'p': 29}
  • id: 1921035
    {'charpoly_factorization': [[[625, -75, 1234, -553, 2468, -692, 147, -14, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 31}
  • id: 1921036
    {'charpoly_factorization': [[[8464, -11684, 12173, -5829, 2195, -168, 47, -2, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 37}
  • id: 1921037
    {'charpoly_factorization': [[[3319, -125, -127, 4, 1], 2]], 'hecke_orbit_code': 49540695446259064, 'p': 41}
  • id: 1921038
    {'charpoly_factorization': [[[-1956, 621, 4, -15, 1], 2]], 'hecke_orbit_code': 49540695446259064, 'p': 43}
  • id: 1921039
    {'charpoly_factorization': [[[9090225, -2460240, 668871, -89634, 15256, -1647, 224, -15, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 47}
  • id: 1921040
    {'charpoly_factorization': [[[1024, 416, 1097, -1017, 743, -264, 71, -10, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 53}
  • id: 1921041
    {'charpoly_factorization': [[[4900, 5390, 10549, -4942, 4363, -88, 67, -1, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 59}
  • id: 1921042
    {'charpoly_factorization': [[[4536900, -121410, 352569, -97152, 30451, -4214, 461, -25, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 61}
  • id: 1921043
    {'charpoly_factorization': [[[2166784, -1495552, 779072, -186528, 35120, -1344, 188, -4, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 67}
  • id: 1921044
    {'charpoly_factorization': [[[-1035, -732, 34, 20, 1], 2]], 'hecke_orbit_code': 49540695446259064, 'p': 71}
  • id: 1921045
    {'charpoly_factorization': [[[1327104, 442368, 359424, -66048, 33472, -400, 188, -2, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 73}
  • id: 1921046
    {'charpoly_factorization': [[[22201, 39485, 59050, 20471, 6304, 380, 79, 2, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 79}
  • id: 1921047
    {'charpoly_factorization': [[[-2826, 15, 187, -26, 1], 2]], 'hecke_orbit_code': 49540695446259064, 'p': 83}
  • id: 1921048
    {'charpoly_factorization': [[[2064969, -681138, 300837, -29484, 13252, -1955, 308, -19, 1], 1]], 'hecke_orbit_code': 49540695446259064, 'p': 89}
  • id: 1921049
    {'charpoly_factorization': [[[-27, -81, -57, 6, 1], 2]], 'hecke_orbit_code': 49540695446259064, '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': 17, 'hecke_orbit': 12, 'label': '1400.2.q.l', 'level': 1400, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 56987533
    {'hecke_orbit_code': 49540695446259064, 'n': 1, 'trace_an': 8}
  • id: 56987534
    {'hecke_orbit_code': 49540695446259064, 'n': 2, 'trace_an': 0}
  • id: 56987535
    {'hecke_orbit_code': 49540695446259064, 'n': 3, 'trace_an': -3}
  • id: 56987536
    {'hecke_orbit_code': 49540695446259064, 'n': 4, 'trace_an': 0}
  • id: 56987537
    {'hecke_orbit_code': 49540695446259064, 'n': 5, 'trace_an': 0}
  • id: 56987538
    {'hecke_orbit_code': 49540695446259064, 'n': 6, 'trace_an': 0}
  • id: 56987539
    {'hecke_orbit_code': 49540695446259064, 'n': 7, 'trace_an': 3}
  • id: 56987540
    {'hecke_orbit_code': 49540695446259064, 'n': 8, 'trace_an': 0}
  • id: 56987541
    {'hecke_orbit_code': 49540695446259064, 'n': 9, 'trace_an': -5}
  • id: 56987542
    {'hecke_orbit_code': 49540695446259064, 'n': 10, 'trace_an': 0}
  • id: 56987543
    {'hecke_orbit_code': 49540695446259064, 'n': 11, 'trace_an': 0}
  • id: 56987544
    {'hecke_orbit_code': 49540695446259064, 'n': 12, 'trace_an': 0}
  • id: 56987545
    {'hecke_orbit_code': 49540695446259064, 'n': 13, 'trace_an': -8}
  • id: 56987546
    {'hecke_orbit_code': 49540695446259064, 'n': 14, 'trace_an': 0}
  • id: 56987547
    {'hecke_orbit_code': 49540695446259064, 'n': 15, 'trace_an': 0}
  • id: 56987548
    {'hecke_orbit_code': 49540695446259064, 'n': 16, 'trace_an': 0}
  • id: 56987549
    {'hecke_orbit_code': 49540695446259064, 'n': 17, 'trace_an': 7}
  • id: 56987550
    {'hecke_orbit_code': 49540695446259064, 'n': 18, 'trace_an': 0}
  • id: 56987551
    {'hecke_orbit_code': 49540695446259064, 'n': 19, 'trace_an': 10}
  • id: 56987552
    {'hecke_orbit_code': 49540695446259064, 'n': 20, 'trace_an': 0}
  • id: 56987553
    {'hecke_orbit_code': 49540695446259064, 'n': 21, 'trace_an': 25}
  • id: 56987554
    {'hecke_orbit_code': 49540695446259064, 'n': 22, 'trace_an': 0}
  • id: 56987555
    {'hecke_orbit_code': 49540695446259064, 'n': 23, 'trace_an': 0}
  • id: 56987556
    {'hecke_orbit_code': 49540695446259064, 'n': 24, 'trace_an': 0}
  • id: 56987557
    {'hecke_orbit_code': 49540695446259064, 'n': 25, 'trace_an': 0}
  • id: 56987558
    {'hecke_orbit_code': 49540695446259064, 'n': 26, 'trace_an': 0}
  • id: 56987559
    {'hecke_orbit_code': 49540695446259064, 'n': 27, 'trace_an': 24}
  • id: 56987560
    {'hecke_orbit_code': 49540695446259064, 'n': 28, 'trace_an': 0}
  • id: 56987561
    {'hecke_orbit_code': 49540695446259064, 'n': 29, 'trace_an': 4}
  • id: 56987562
    {'hecke_orbit_code': 49540695446259064, 'n': 30, 'trace_an': 0}
  • id: 56987563
    {'hecke_orbit_code': 49540695446259064, 'n': 31, 'trace_an': 14}
  • id: 56987564
    {'hecke_orbit_code': 49540695446259064, 'n': 32, 'trace_an': 0}
  • id: 56987565
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  • id: 56987566
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  • id: 56987567
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  • id: 56987568
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  • id: 56987569
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  • id: 56987570
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  • id: 56987571
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  • id: 56987572
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  • id: 56987573
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  • id: 56987574
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  • id: 56987575
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  • id: 56987576
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  • id: 56987577
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  • id: 56987578
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  • id: 56987579
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  • id: 56987580
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  • id: 56987581
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  • id: 56987582
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  • id: 56987583
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  • id: 56987584
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  • id: 56987585
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  • id: 56987586
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  • id: 56987587
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  • id: 56987588
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  • id: 56987589
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  • id: 56987590
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  • id: 56987591
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  • id: 56987592
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  • id: 56987593
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  • id: 56987594
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  • id: 56987595
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  • id: 56987596
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  • id: 56987597
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  • id: 56987598
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  • id: 56987599
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  • id: 56987600
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  • id: 56987601
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  • id: 56987602
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  • id: 56987603
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  • id: 56987604
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  • id: 56987605
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  • id: 56987606
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  • id: 56987607
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  • id: 56987608
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  • id: 56987609
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  • id: 56987610
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  • id: 56987611
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  • id: 56987612
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  • id: 56987613
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  • id: 56987614
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  • id: 56987615
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  • id: 56987616
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  • id: 56987617
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  • id: 56987618
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  • id: 56987619
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  • id: 56987620
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  • id: 56987621
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  • id: 56987622
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  • id: 56987623
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  • id: 56987624
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  • id: 56987625
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  • id: 56987626
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  • id: 56987627
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  • id: 56987628
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  • id: 56987629
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  • id: 56987630
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  • id: 56987631
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  • id: 56987632
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  • id: 56987633
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  • id: 56987634
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  • id: 56987635
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  • id: 56987636
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  • id: 56987637
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  • id: 56987638
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  • id: 56987639
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  • id: 56987640
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  • id: 56987641
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  • id: 56987642
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  • id: 56987643
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  • id: 56987644
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  • id: 56987645
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  • id: 56987646
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  • id: 56987647
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  • id: 56987648
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  • id: 56987649
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  • id: 56987650
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  • id: 56987651
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  • id: 56987652
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  • id: 56987653
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  • id: 56987654
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  • id: 56987655
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  • id: 56987656
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  • id: 56987657
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  • id: 56987658
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  • id: 56987659
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  • id: 56987660
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  • id: 56987661
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  • id: 56987662
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  • id: 56987663
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  • id: 56987664
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  • id: 56987665
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  • id: 56987666
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  • id: 56987667
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  • id: 56987668
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  • id: 56987669
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  • id: 56987670
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  • id: 56987671
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  • id: 56987672
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  • id: 56987673
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  • id: 56987674
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  • id: 56987675
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  • id: 56987676
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  • id: 56987677
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  • id: 56987678
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  • id: 56987679
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  • id: 56987680
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  • id: 56987681
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  • id: 56987682
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  • id: 56987683
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  • id: 56987684
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  • id: 56987685
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  • id: 56987686
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  • id: 56987687
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  • id: 56987688
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  • id: 56987689
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  • id: 56987690
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  • id: 56987691
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  • id: 56987692
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  • id: 56987693
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  • id: 56987694
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  • id: 56987695
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  • id: 56987696
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  • id: 56987697
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  • id: 56987698
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  • id: 56987699
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  • id: 56987700
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  • id: 56987701
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  • id: 56987702
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  • id: 56987703
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  • id: 56987704
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  • id: 56987705
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  • id: 56987706
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  • id: 56987707
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  • id: 56987708
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  • id: 56987709
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  • id: 56987710
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  • id: 56987711
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  • id: 56987712
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  • id: 56987713
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  • id: 56987714
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  • id: 56987715
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  • id: 56987716
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  • id: 56987717
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  • id: 56987718
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  • id: 56987719
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  • id: 56987720
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  • id: 56987721
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  • id: 56987722
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  • id: 56987723
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  • id: 56987724
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  • id: 56987725
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  • id: 56987726
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  • id: 56987727
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  • id: 56987728
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  • id: 56987729
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  • id: 56987730
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  • id: 56987731
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  • id: 56987732
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  • id: 56987733
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  • id: 56987734
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  • id: 56987735
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  • id: 56987736
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  • id: 56987737
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  • id: 56987738
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  • id: 56987739
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  • id: 56987740
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  • id: 56987741
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  • id: 56987742
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  • id: 56987743
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  • id: 56987744
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  • id: 56987745
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  • id: 56987746
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  • id: 56987747
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  • id: 56987748
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  • id: 56987749
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  • id: 56987750
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  • id: 56987751
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  • id: 56987752
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  • id: 56987753
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  • id: 56987754
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  • id: 56987755
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  • id: 56987756
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  • id: 56987757
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  • id: 56987758
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  • id: 56987759
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  • id: 56987760
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  • id: 56987761
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  • id: 56987762
    {'hecke_orbit_code': 49540695446259064, 'n': 821, 'trace_an': -133}
  • id: 56987763
    {'hecke_orbit_code': 49540695446259064, 'n': 823, 'trace_an': 13}
  • id: 56987764
    {'hecke_orbit_code': 49540695446259064, 'n': 827, 'trace_an': -30}
  • id: 56987765
    {'hecke_orbit_code': 49540695446259064, 'n': 829, 'trace_an': 116}
  • id: 56987766
    {'hecke_orbit_code': 49540695446259064, 'n': 839, 'trace_an': -2}
  • id: 56987767
    {'hecke_orbit_code': 49540695446259064, 'n': 841, 'trace_an': -28}
  • id: 56987768
    {'hecke_orbit_code': 49540695446259064, 'n': 853, 'trace_an': -32}
  • id: 56987769
    {'hecke_orbit_code': 49540695446259064, 'n': 857, 'trace_an': 83}
  • id: 56987770
    {'hecke_orbit_code': 49540695446259064, 'n': 859, 'trace_an': 14}
  • id: 56987771
    {'hecke_orbit_code': 49540695446259064, 'n': 863, 'trace_an': -35}
  • id: 56987772
    {'hecke_orbit_code': 49540695446259064, 'n': 877, 'trace_an': 66}
  • id: 56987773
    {'hecke_orbit_code': 49540695446259064, 'n': 881, 'trace_an': -116}
  • id: 56987774
    {'hecke_orbit_code': 49540695446259064, 'n': 883, 'trace_an': 184}
  • id: 56987775
    {'hecke_orbit_code': 49540695446259064, 'n': 887, 'trace_an': -43}
  • id: 56987776
    {'hecke_orbit_code': 49540695446259064, 'n': 907, 'trace_an': 85}
  • id: 56987777
    {'hecke_orbit_code': 49540695446259064, 'n': 911, 'trace_an': -22}
  • id: 56987778
    {'hecke_orbit_code': 49540695446259064, 'n': 919, 'trace_an': 18}
  • id: 56987779
    {'hecke_orbit_code': 49540695446259064, 'n': 929, 'trace_an': -65}
  • id: 56987780
    {'hecke_orbit_code': 49540695446259064, 'n': 937, 'trace_an': -24}
  • id: 56987781
    {'hecke_orbit_code': 49540695446259064, 'n': 941, 'trace_an': -76}
  • id: 56987782
    {'hecke_orbit_code': 49540695446259064, 'n': 947, 'trace_an': -26}
  • id: 56987783
    {'hecke_orbit_code': 49540695446259064, 'n': 953, 'trace_an': 10}
  • id: 56987784
    {'hecke_orbit_code': 49540695446259064, 'n': 961, 'trace_an': 26}
  • id: 56987785
    {'hecke_orbit_code': 49540695446259064, 'n': 967, 'trace_an': -38}
  • id: 56987786
    {'hecke_orbit_code': 49540695446259064, 'n': 971, 'trace_an': -99}
  • id: 56987787
    {'hecke_orbit_code': 49540695446259064, 'n': 977, 'trace_an': -107}
  • id: 56987788
    {'hecke_orbit_code': 49540695446259064, 'n': 983, 'trace_an': -31}
  • id: 56987789
    {'hecke_orbit_code': 49540695446259064, 'n': 991, 'trace_an': -8}
  • id: 56987790
    {'hecke_orbit_code': 49540695446259064, 'n': 997, 'trace_an': -8}