Newform data - 152.2.v.a

Formats: - HTML - YAML - JSON - 2025-07-11T01:17:05.454877

• 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': 608, 'analytic_conductor': 1.2137261107234618, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 152, 'char_degree': 6, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 18, 'char_parity': 1, 'char_values': [152, 18, [39, 77, 97], [9, 9, 13]], 'cm_discs': [-8], 'conrey_index': 3, 'dim': 12, 'field_disc': 101559956668416, 'field_disc_factorization': [[2, 18], [3, 18]], 'field_poly': [64, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 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, [5329, 8322, 10941, 4422, -951, -2706, -932, 48, 138, 48, 15, 6, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 1443142566040, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 4, -1, 2, -8], [1, 1, 19, 6, -1, 18, 0], [1, 1, 152, 22, 1, 18, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '152.2.v.a', 'level': 152, '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, 19], 'level_radical': 38, 'minimal_twist': '152.2.v.a', 'nf_label': '12.0.101559956668416.1', 'prim_orbit_index': 22, 'qexp_display': 'q-\\beta _{11}q^{2}+(\\beta _{1}+\\beta _{3}-\\beta _{6}-\\beta _{9}+\\beta _{10}+\\cdots)q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.1.d18', 'self_twist_discs': [-8], 'self_twist_type': 1, 'space_label': '152.2.v', 'trace_display': [0, -6, 0, 0], 'trace_hash': 726889135978386808, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.649', 'prec': 20}, {'__RealLiteral__': 0, 'data': '13.703', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1290.332', 'prec': 27}, {'__RealLiteral__': 0, 'data': '4007.066', 'prec': 27}, {'__RealLiteral__': 0, 'data': '265742.315', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.745', 'prec': 17}, 'traces': [12, 0, -6, 0, 0, 12, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, -24, 0, 0, -90, 0, 0, 0, 0, 0, 30, 0, 0, -12, 0, 36, 0, 0, 18, 0, 0, -72, 0, 0, 0, -48, -42, 0, 90, 0, 0, -36, 0, 0, 0, 0, -18, 0, 0, 0, 0, 48, 0, 24, 42, 36, 0, 0, 0, 96, -12, 0, 0, 0, 0, 0, 0, 0, 78, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30, 0, -30, 0, 0, 0, 0, 0, 0, 0, -54, 36, 0, 0, 0, 0, 0, 24, 0, 0, 0, -60, 0, 0, -66, 0, 60, 0, 0, 0, 0, 0, -138, 0, 108, 0, 0, 0, 0, 0, 18, 0, 66, 0, 0, 0, 0, 72, 0, -144, -42, 0, 0, -120, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -24, 0, 0, 0, 0, -78, 120, 0, 0, 0, -72, 156, 24, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, -96, 0, 144, 0, 0, 0, 252, 0, 0, -78, 0, 0, -108, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 24, 0, 0, -66, 0, 0, 0, 0, 0, 30, -48, 0, 120, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 0, 0, -78, 72, 48, 0, 0, 0, 0, 0, 132, 0, 18, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, -60, 0, -48, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, 54, 0, 66, 0, 0, 0, 0, -96, 0, 0, -102, 0, 0, -168, 0, 0, -54, 0, 0, -60, 0, 0, 0, 24, 0, 0, -204, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 168, 0, -198, -216, 0, 108, 0, -192, 0, 0, 0, -108, 0, 0, 0, 0, -42, 0, -12, 0, 0, 120, 0, 0, 0, 0, 36, 0, 0, 0, 0, 48, 0, 288, 0, 0, 0, -84, 0, 0, 0, 0, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, -90, 0, 0, 0, 0, 0, 6, 0, 0, 132, 0, 0, 0, 240, -18, -120, 0, 0, 0, 0, 0, 144, -66, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 120, 0, 0, -84, 0, 126, 0, 0, 0, 0, 0, 0, 120, 204, 108, 0, -12, 0, 0, 0, 0, 270, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -240, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 36, 0, 0, 204, 0, 0, -120, 0, 0, 0, 0, 0, -96, 42, 0, 0, 0, 0, 0, 0, 0, -78, 0, 0, 0, 0, 0, -90, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, -48, 0, 144, -138, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, -234, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, -432, 144, 0, 0, -396, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 54, -288, 0, 0, 0, 0, 0, 0, 0, 0, -222, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, -72, 0, 0, -90, 0, -78, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, -234, 0, 0, 0, 0, 0, 0, 0, -252, -24, -150, 0, 0, 0, 0, -48, -6, 0, 0, 12, 0, 0, 0, -72, 150, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -90, 288, 180, -156, 0, 312, 0, 0, 78, 0, 0, 36, 0, 0, 0, 0, 0, 0, 138, 0, 0, 156, 0, 0, 234, 0, -132, 0, 0, 0, 0, 0, 0, -96, 0, 156, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 24, 0, 0, -180, 0, 0, 300, 0, 0, 0, 0, 0, 0, 0, 324, -96, 102, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, -396, 0, -240, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, -210, 168, 90, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 264, 0, 0, -90, 0, 162, 0, 0, 0, 0, 0, 0, 336, 0, 36, 0, 0, 0, 0, 0, 0, -132, 252, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, -336, -324, 0, -174, 0, 0, 0, 0, 288, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, -636, 0, 0, 0, 0, 0, 0, -24, 0, -180, 0, -108, 0, 0, 0, 0, 30, -360, 0, 0, 0, -336, 348, -144, 0, 0, 0, 108, 0, 0, 138, 0, 0, 0, 0, 0, 0, 0, -162, 0, 0, 0, 0, 132, 0, 0, -102, 0, 0, 0, 0, 0, 0, -144, 0, 264, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 0, 0, 186, 0, -222, -156, 0, 0, 0, 0, 270, 0, -324, 132, 0, 0, 0, 0, 0, 120, -462, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, -186, 0, 0, 252, 0, -180, 0, 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

  
  {'an': [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1], [0, 1, 0, 1, 0, 0, -1, 0, 0, -1, 1, 0], [0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 0, 0, 1, 0, -1, -2, 0, -2, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, -2, 0, 0, 0, 0, 0, 2, 0, 0], [1, 0, 1, -2, 3, 0, -1, 0, 0, 0, -3, 2], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 0, -3, 1, 0, 1, -3, 0, 3, 0], [0, -2, 2, 0, 0, -2, 0, 0, -2, 0, 2, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0], [0, 0, -3, 0, 0, 4, 0, 0, 0, 0, 0, -2], [0, 1, -4, 0, 4, -1, 0, -1, 4, -3, 0, 0], [0, -3, 0, 0, -1, 0, 0, 3, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 0, 0, 0, 2, 0, 0, -3, 0, 3, -2, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-4, 0, 0, 2, -4, 0, 4, -2, 0, 0, 4, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-10, 3, 0, -1, -3, 3, 5, -3, 3, 1, 0, -3], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -2, -1, 2, 5, -4, 5, 2, -1, -2, 0, 0], [0, -3, 0, 0, 4, 0, 0, 3, 0, 0, -8, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, -6, 4, -2, 0, -2, 4, 0, -4, 2, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, 0, 0, 6, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [3, 4, 0, 4, 3, 0, -3, -4, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, -5, 0, 0, -3, 0, 0, 5, 0, 0, 6], [-6, 0, 6, 0, 0, 0, 0, 0, 0, -2, 0, -2], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-4, 0, 4, 0, 0, 4, 0, 0, -4, 4, 0, 0], [0, 0, 0, 0, 0, 0, -7, 0, 0, 0, 0, 0], [0, 0, 0, -5, 0, 0, 0, 0, 0, 0, 0, 0], [7, 0, 8, -5, 0, -5, 1, 0, -1, 4, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 3, 0, -3, 0, 5, -6, 0, 2, 3, -6, 5], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 2, -5, 0, 0, -4, 0, 0, 5, 0, 7, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-3, -5, 0, 5, 0, 0, 3, 0, 0, 0, 3, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [8, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -2, 0, 5, -8, 5, 4, 1, -4, -5, 8, -5], [7, 0, -7, -3, 0, 0, -7, 0, 0, 0, 0, -3], [0, 0, 0, -4, 0, 0, 6, 0, 0, -4, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [8, -6, 0, 0, 0, -2, 0, 6, -8, 2, 0, 2], [-1, 0, 0, 0, 1, 0, 0, -6, 0, -6, -1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 5, 0, -5, 0, 0, -5, 0, 0, 5, -5], [0, 0, 0, 0, 0, 6, 0, 0, 2, 0, 0, -6], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [3, -10, 9, -4, -7, 0, 7, 4, -9, 10, -3, 0], [0, 0, 8, 3, 0, -3, -8, 0, -8, -3, 0, 0], [0, 0, 0, 0, 9, 1, 0, -1, -9, 0, -9, -1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 6, 0, 0, 5, 0, 0, 6, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 6, -4, 0, -4, 0, 0, -6, 0, 0, 0, 6], [0, 2, 0, 0, -18, 0, 0, 0, 0, 0, 9, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 8, 0, 8, 0, 0, -4, 0, 0, -8, 4], [0, 0, 0, -6, 5, 0, -5, 6, 0, 6, -5, 0], [0, 0, 0, 0, 0, -7, 0, 0, 0, 0, 0, 7], [2, 7, -9, 3, -1, -2, -9, 7, 2, -5, 0, 5], [0, 0, -10, 0, 0, 0, 0, 0, 10, 0, 0, 0]], 'ap': [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1], [0, 1, 0, 1, 0, 0, -1, 0, 0, -1, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 0, -3, 1, 0, 1, -3, 0, 3, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, -3, 0, 0, 4, 0, 0, 0, 0, 0, -2], [0, -3, 0, 0, -1, 0, 0, 3, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [3, 4, 0, 4, 3, 0, -3, -4, 0, 0, 0, 0], [0, 0, -5, 0, 0, -3, 0, 0, 5, 0, 0, 6], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-3, -5, 0, 5, 0, 0, 3, 0, 0, 0, 3, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [7, 0, -7, -3, 0, 0, -7, 0, 0, 0, 0, -3], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-1, 0, 0, 0, 1, 0, 0, -6, 0, -6, -1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 9, 1, 0, -1, -9, 0, -9, -1], [0, 2, 0, 0, -18, 0, 0, 0, 0, 0, 9, 0], [0, 0, 0, -6, 5, 0, -5, 6, 0, 6, -5, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-3, 0, 0, 7, 0, 0, -3, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -4, 0, 0, 0, 4, 0, 0, 9, 0, 9, -4], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [9, 5, 0, 0, 9, 0, 0, -5, 0, 5, 0, 0], [0, 0, 3, 8, 0, 0, 3, 0, 0, -8, 0, 8], [0, 0, -11, 3, 0, -3, 11, 0, 11, -3, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -9, 0, 0, 1, 9, 0, 9, 1, 0, 0, -9], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -7, 9, 0, 0, 0, 0, 0, 0, 0, -9, 7], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 22, 0, 0, 6, 0, 0, -11, 0, 0, -6], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, -7, 0, 0, 0, 0, 0, 14, 0, 0, 9], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 15, 0, -15, -1, 0, -1, -15, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [15, 0, 0, 2, 15, 0, -15, -2, 0, 0, -15, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-13, 0, 0, -6, 0, -6, 13, 0, -13, 0, 0, 6], [0, 0, 3, -11, 0, 0, 3, 0, 0, 11, 0, -11], [15, 0, -15, 0, 0, 4, 0, 0, 15, 4, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, -9, -10, 0, 0, 9, 0, 0, 10, 0, 10], [11, 9, 0, 9, 0, 0, -11, 0, 0, 0, 11, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-17, 0, 0, 0, -17, 0, 0, -3, 0, 3, 17, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5, 0, 5, 0, 0, -12, 0, 0, -5, 12, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, -13, 0, -13, -9, 0, 9, 13, 0, 13, 0], [-7, 0, 0, 12, 7, 0, 7, 12, 0, 0, -7, 0], [3, 13, 0, 0, 0, 0, 0, 0, 0, -13, -3, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -8, -15, 0, 0, 0, 0, 0, 0, 0, -15, -8], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-3, 14, 0, -14, 0, 0, 3, 0, 0, 0, 3, 0], [0, 0, 0, 12, 0, -12, -11, 0, -11, -12, 0, 12], [-9, 0, 0, -26, 0, 0, 0, 0, 0, 13, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -12, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [21, 0, 0, 1, 0, -1, -21, 0, -21, 0, 0, 1], [0, -2, 21, 0, 0, -2, 0, 0, -21, 0, 21, 0], [0, 12, 13, 0, 13, 12, 0, -12, -13, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 11, -15, 0, 0, 0, 0, 0, 0, 0, -15, 11], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 5, 0, 0, 21, 0, 0, 5], [0, 15, 0, 15, -7, 0, 7, -15, 0, -15, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -16, 0, 0, -3, -16, 0, 16, 3, 0, 0, 16], [0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -3, 0, 0, 23, 0, 0, 3, 0, 0, -46, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -13, 15, 0, 15, 0, 0, 13, 0, 0, 0, -13], [-21, 0, 0, 0, 0, 0, 42, 0, 0, 8, 0, 0], [0, 0, -11, 0, -11, 0, 0, 15, 0, 0, 11, -15], [0, -12, 17, 0, -17, 0, 0, 12, 0, 0, 0, 12], [0, 0, -3, 0, 0, -34, 0, 0, 0, 0, 0, 17], [9, 0, -9, -16, 0, -16, -9, 0, 9, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 6, -23, 0, -23, 0, 0, -6, 0, 0, 0, 6], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, -14, 0, -14, -15, 0, 15, 14, 0, 14], [0, 0, 0, 15, 0, 0, -13, 0, 0, 15, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-21, 10, 0, 0, 0, 0, 0, 0, 0, 10, -21, 0], [0, 3, 0, -3, 0, 0, -25, 0, 0, 3, -25, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -17, 0, 0, -18, 0, 0, 0, 0, 0, 9, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-10, 0, 0, 18, 0, 0, 5, 0, 0, -18, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-21, 0, 0, 0, 0, 0, 42, 0, 0, -11, 0, 0], [23, 0, 0, -9, 0, 0, -23, 0, 0, 18, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, -15, 17, 0, 17, -15, 0, 15, -17, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 27, 0, 27, 0, 0, -4, 0, 0, -27, 4], [0, 36, 0, 0, 11, 0, 0, -18, 0, 0, -11, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 25, 0, 25, -9, 0, 9, -25, 0, -25, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 0, -3, 20, 0, 20, -3, 0, 3, 0], [0, -30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, -7, 0, 7, 27, 0, 27, 7, 0, -7], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-27, 8, 0, 0, 27, 0, 0, -8, 0, -8, 0, 0], [-29, 0, 29, 3, 0, 3, 29, 0, -29, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 9, 20, 0, -20, -9, 0, -9, -20], [1, 0, 1, -21, 0, 0, -1, 0, 0, 0, 0, 21], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -21, 0, 21, 5, 0, 5, 21, 0, -21, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-27, -10, 0, -10, 0, 0, 27, 0, 0, 0, -27, 0], [-17, 0, 0, -18, 0, 18, 17, 0, 17, 0, 0, -18], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -30, 0, 0, 0], [21, 0, 0, 0, 21, 0, 0, 16, 0, -16, -21, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-27, -11, 0, 0, 27, 0, 0, 11, 0, 11, 0, 0], [0, 22, 0, 0, -3, 22, 0, -22, 3, 0, 0, -22], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'char_orbit_index': 22, 'field_poly': [64, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 1], 'hecke_orbit_code': 1443142566040, 'hecke_ring_character_values': [[39, [-1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [77, [-1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [97, [0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 2, 2, 4, 4, 8, 8, 16, 16, 32, 32], 'hecke_ring_inverse_denominators': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 12, 'label': '152.2.v.a', 'level': 152, 'maxp': 997, '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': 608, 'analytic_conductor': 1.2137261107234618, 'char_conductor': 152, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 18, 'char_parity': 1, 'char_values': [152, 18, [39, 77, 97], [9, 9, 13]], 'conrey_index': 3, 'cusp_dim': 108, 'dim': 108, 'eis_dim': 24, 'eis_new_dim': 24, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 1443142566040, 'hecke_orbit_dims': [12, 96], 'label': '152.2.v', 'level': 152, '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, 19], 'level_radical': 38, 'mf_dim': 132, 'mf_new_dim': 132, 'num_forms': 2, 'prim_orbit_index': 22, 'relative_dim': 18, 'sturm_bound': 40, 'trace_bound': 1, 'trace_display': [-6, -12, 0, 0], 'traces': [108, -6, -12, -12, 0, 0, 0, -9, -12, -3, -6, -9, 0, -21, 0, 0, -12, 0, -12, 18, 0, 0, 0, -36, -12, 21, -18, -36, 0, -6, 0, -51, 6, 48, -42, -51, 0, 42, 0, -48, -24, 69, -12, 9, 0, 36, 0, -57, 12, 18, 12, -45, 0, -51, 0, 0, -12, -84, -12, 24, 0, 66, 0, 39, -18, 90, -12, 0, 0, 81, 0, 102, -36, 9, 0, 66, 0, 81, 0, 51, -18, 39, -6, 99, 0, 12, 0, 63, -12, 114, -54, -48, 0, 0, 0, -66, -12, -123, 42, 177, 0, -93, 0, 165, -54, 9, -18, 72, 0, -126, 0, 33, 0, -120, -72, 141, 0, -108, 0, 60, 0, -153, -12, 105, 0, -234, 0, 162, 72, -36, 120, 0, 0, -12, 0, -165, -72, -228, 204, -105, 0, -150, 0, 21, -18, -90, 204, -93, 0, -117, 0, -135, -24, -60, 186, -102, 0, 45, 0, -153, -78, -81, 54, -99, 0, -129, 0, -27, 12, 0, 60, -72, 0, 159, 0, -165, -12, 105, -18, -345, 0, -33, 0, -102, -48, 93, 138, -66, 0, 159, 0, -72, 60, 69, 30, -66, 0, 315, 0, -45, -18, 252, -186, -231, 0, 78, 0, 0, 174, 0, 12, 237, 0, 255, 0, 60, -234, 306, -12, -24, 0, 66, 0, 96, 90, 72, 0, 135, 0, 228, 0, 87, -108, 51, -6, 225, 0, 126, 0, 441, 228, 219, 54, 9, 0, 0, 0, 174, -258, -234, -96, 423, 0, -99, 0, 240, -12, 27, -144, 72, 0, -81, 0, 192, 0, -180, 240, 105, 0, -282, 0, -15, 60, -261, -66, 156, 0, -216, 0, 90, 36, -93, -384, 0, 0, -24, 0, -315, 204, -249, -468, -54, 0, -492, 0, 12, 90, -114, -144, -21, 0, -39, 0, -129, 216, -6, -252, -123, 0, 18, 0, -279, 60, -51, -270, -450, 0, -210, 0, -111, 150, 0, -12, -192, 0, 333, 0, -411, 18, 171, -306, -327, 0, -51, 0, -270, 0, 51, -264, -255, 0, 324, 0, -189, 30, 162, -12, -36, 0, 540, 0, -72, 66, 513, 144, -399, 0, 96, 0, 0, -84, 96, -60, 273, 0, 606, 0, 84, -18, 423, -54, -12, 0, 126, 0, 36, -12, 108, 0, 84, 0, 24, 0, 345, 48, -105, -6, 423, 0, 138, 0, 315, -60, 267, -24, 165, 0, 0, 0, -6, -12, -321, 186, 327, 0, -57, 0, 627, 24, 135, -18, 183, 0, -186, 0, 60, 0, -180, -72, 141, 0, -189, 0, 87, -78, -450, 174, 0, 0, -549, 0, 255, -132, -156, 624, 0, 0, -54, 0, -324, 96, -468, 552, -165, 0, -375, 0, 105, -18, -117, 246, -165, 0, -168, 0, -402, -24, -318, 426, -102, 0, -48, 0, -468, 246, -156, 246, -387, 0, -540, 0, -255, 18, 0, 96, -276, 0, 303, 0, -774, -96, 27, 486, -477, 0, -66, 0, -3, -18, 153, 588, -183, 0, 159, 0, 18, -246, 240, 36, -9, 0, 351, 0, -204, 42, 486, -144, -180, 0, 246, 0, 0, -354, 168, 102, 402, 0, 264, 0, 69, 414, 429, -12, -144, 0, 201, 0, 78, -108, 69, 0, 276, 0, 30, 0, 222, 66, 102, 168, 648, 0, -174, 0, 594, -348, 411, 72, 204, 0, 0, 0, 132, 234, -519, -516, 546, 0, -183, 0, 681, 90, 48, -198, 285, 0, 3, 0, 186, 0, -318, 216, 345, 0, -291, 0, 0, -54, -693, -276, 297, 0, -801, 0, 501, -108, -39, -276, 0, 0, -384, 0, -318, -264, -717, -702, -75, 0, -636, 0, 63, -90, -231, -402, -75, 0, -240, 0, -156, -348, -105, -432, -132, 0, 63, 0, -243, -60, -243, -102, -342, 0, -123, 0, -39, -90, 0, -114, -18, 0, 582, 0, -333, -240, 213, -558, -519, 0, -159, 0, -27, -36, 132, -576, -156, 0, 300, 0, -420, -114, 402, -210, -36, 0, 432, 0, 60, -90, 522, 468, -369, 0, 165, 0, 0, 90, -84, -108, 495, 0, 642, 0, 216, -18, 597, -144, -57, 0, 168, 0, 183, 84, 306, 0, 360, 0, 363, 0, 144, 12, 66, -6, 468, 0, 246, 0, 873, 36, 453, -168, 84, 0, 0, 0, 528, 36, -288, 258, 636, 0, -204, 0, 420, 102, 69, 414, 147, 0, -57, 0, 168, 0, -315, -168, -42, 0, -150, 0, -306, -36, -450, 132, 327, 0, -297, 0, 282, 198, -132, 708, 0, 0, -264, 0, -564, -60, -378, 894, -135, 0, -645, 0, -6, -18, -144, 156, -213, 0, 57, 0, -288, -24, -39, 522, -243, 0, -198, 0, -774, -324, 126, 306, -612, 0, -453, 0, -60, -204, 0, 168, -30, 0, 516, 0, -741, -108, 165, 774, -810, 0, -27, 0, -282, 108, 3, 966, -222, 0, 267, 0, -489, 348, 141, 234, -171, 0, 612, 0, -336, -126, 738, -84, -492, 0, 15, 0, 0, 72, 474, 264, 369, 0, 840, 0, 150, -72, 417, 72, 18, 0, 282, 0, 186, 264, 432, 0, 165, 0, 138, 0, 147, -252, -36, -6, 351, 0, 357, 0, 162, 180, 267, -324, 378, 0, 0, 0, -72, -180, -237, -636, 270, 0, -102, 0, 705, 180, -9, -630, 231, 0, -408, 0, 93, 0, -264, -372, -57, 0, -225, 0, 141, 114, -360, -108, -21, 0, -657, 0, 333, 258, -90, -1242, 0, 0, 234, 0, -669, 630, -651, -534, -240, 0, -537, 0, 231, 702, -408, -240, -174, 0, -345, 0, -474, 444, -453, -774, -468, 0, 117, 0, -702, 468, -81, -426, -981, 0, -567, 0, -6, 12, 0, -420, -156, 0, 492, 0, -783, 300, 216, -774, -501, 0, -78, 0, -402, -432, 336, -1092, -138, 0, 240, 0, 18, 516, 171, -156, -144, 0, 522, 0, -327, 216, 81, 150, -411, 0, 186, 0, 0, 24, -204, -276, 366, 0, 375, 0, 165, -18, 966, -126, -156, 0, -33, 0, 225, 6, 33, 0, 384, 0, 354, 0, 345, -18, -30, -102, 414, 0, 189, 0, 531], '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: 130108
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 22, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '152.2.v.a', 'source_level': 152, 'target_char_orbit': 22, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '152.2.v.a', 'target_level': 152, 'twist_class_label': '152.2.v.a', 'twist_class_level': 152, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 130109
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -8, 'source_char_orbit': 22, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '152.2.v.a', 'source_level': 152, 'target_char_orbit': 22, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '152.2.v.a', 'target_level': 152, 'twist_class_label': '152.2.v.a', 'twist_class_level': 152, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 130110
    {'conductor': 19, 'degree': 6, 'multiplicity': 1, 'order': 18, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '152.2.v.a', 'source_level': 152, 'target_char_orbit': 22, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '152.2.v.a', 'target_level': 152, 'twist_class_label': '152.2.v.a', 'twist_class_level': 152, 'twisting_char_label': '19.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 130111
    {'conductor': 152, 'degree': 6, 'multiplicity': 1, 'order': 18, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '152.2.v.a', 'source_level': 152, 'target_char_orbit': 22, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '152.2.v.a', 'target_level': 152, 'twist_class_label': '152.2.v.a', 'twist_class_level': 152, 'twisting_char_label': '152.v', 'twisting_char_orbit': 22, 'weight': 2}
  • id: 130112
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '152.2.v.a', 'source_level': 152, 'target_char_orbit': 34, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '608.2.bh.a', 'target_level': 608, 'twist_class_label': '152.2.v.a', 'twist_class_level': 152, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 130113
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '152.2.v.a', 'source_level': 152, 'target_char_orbit': 34, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '608.2.bh.a', 'target_level': 608, 'twist_class_label': '152.2.v.a', 'twist_class_level': 152, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 130114
    {'conductor': 76, 'degree': 6, 'multiplicity': 1, 'order': 18, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '152.2.v.a', 'source_level': 152, 'target_char_orbit': 34, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '608.2.bh.a', 'target_level': 608, 'twist_class_label': '152.2.v.a', 'twist_class_level': 152, 'twisting_char_label': '76.k', 'twisting_char_orbit': 11, 'weight': 2}
  • id: 130115
    {'conductor': 152, 'degree': 6, 'multiplicity': 1, 'order': 18, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 22, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '152.2.v.a', 'source_level': 152, 'target_char_orbit': 34, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '608.2.bh.a', 'target_level': 608, 'twist_class_label': '152.2.v.a', 'twist_class_level': 152, 'twisting_char_label': '152.s', 'twisting_char_orbit': 19, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 406100
    {'charpoly_factorization': [[[64, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 1443142566040, 'p': 2}
  • id: 406101
    {'charpoly_factorization': [[[5329, 8322, 10941, 4422, -951, -2706, -932, 48, 138, 48, 15, 6, 1], 1]], 'hecke_orbit_code': 1443142566040, 'p': 3}
  • id: 406102
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 1443142566040, 'p': 5}
  • id: 406103
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 1443142566040, 'p': 7}
  • id: 406104
    {'charpoly_factorization': [[[13461561, -2179386, 4348377, 514782, 954459, 58806, 64860, 1782, 3267, 36, 66, 0, 1], 1]], 'hecke_orbit_code': 1443142566040, 'p': 11}
  • id: 406105
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 1443142566040, 'p': 13}
  • id: 406106
    {'charpoly_factorization': [[[11390625, 0, 0, -1640250, 0, 0, 239571, 0, 0, 486, 0, 0, 1], 1]], 'hecke_orbit_code': 1443142566040, 'p': 17}
  • id: 406107
    {'charpoly_factorization': [[[47045881, 0, 0, 727054, 0, 0, 4377, 0, 0, 106, 0, 0, 1], 1]], 'hecke_orbit_code': 1443142566040, 'p': 19}
  • id: 406108
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 1443142566040, 'p': 23}
  • id: 406109
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 1443142566040, 'p': 29}
  • id: 406110
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 1443142566040, 'p': 31}
  • id: 406111
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 1443142566040, 'p': 37}
  • id: 406112
    {'charpoly_factorization': [[[41437894969, -2345045760, 830094720, 623389716, -71266908, 1888506, 2202202, -351576, 28488, -1296, 93, -18, 1], 1]], 'hecke_orbit_code': 1443142566040, 'p': 41}
  • id: 406113
    {'charpoly_factorization': [[[594823321, 0, 0, 45607430, 0, 0, 3521289, 0, 0, -1870, 0, 0, 1], 1]], 'hecke_orbit_code': 1443142566040, 'p': 43}
  • id: 406114
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 1443142566040, 'p': 47}
  • id: 406115
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 1443142566040, 'p': 53}
  • id: 406116
    {'charpoly_factorization': [[[260443853569, 42255903600, 17399909400, -1916313012, -340620204, -45627534, 1827118, 669096, 52032, 1296, 39, 18, 1], 1]], 'hecke_orbit_code': 1443142566040, 'p': 59}
  • id: 406117
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 1443142566040, 'p': 61}
  • id: 406118
    {'charpoly_factorization': [[[87534914769, 51929282034, 17973774909, 2899434006, -569203191, -63399042, 24364572, -3091536, 245898, -16464, 975, -42, 1], 1]], 'hecke_orbit_code': 1443142566040, 'p': 67}
  • id: 406119
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 1443142566040, 'p': 71}
  • id: 406120
    {'charpoly_factorization': [[[964620586801, -265610952138, -20405021655, 7953790574, 650190528, -26934210, 3008127, 451728, 71757, 4970, 498, 12, 1], 1]], 'hecke_orbit_code': 1443142566040, 'p': 73}
  • id: 406121
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 1443142566040, 'p': 79}
  • id: 406122
    {'charpoly_factorization': [[[11478765321, -36014774850, 106354097361, -21130911450, 4351281723, -251104050, 32913276, -1008450, 186003, -2700, 498, 0, 1], 1]], 'hecke_orbit_code': 1443142566040, 'p': 83}
  • id: 406123
    {'charpoly_factorization': [[[168425239515625, 0, 0, 187115001750, 0, 0, 82270783, 0, 0, 14418, 0, 0, 1], 1]], 'hecke_orbit_code': 1443142566040, 'p': 89}
  • id: 406124
    {'charpoly_factorization': [[[7482560872329, 2245484670030, 456480510471, 38143164510, 624284289, -418010670, -35557716, -742320, 89946, 6000, 309, 30, 1], 1]], 'hecke_orbit_code': 1443142566040, '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': 22, 'hecke_orbit': 1, 'label': '152.2.v.a', 'level': 152, '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: 13028808
    {'hecke_orbit_code': 1443142566040, 'n': 1, 'trace_an': 12}
  • id: 13028809
    {'hecke_orbit_code': 1443142566040, 'n': 2, 'trace_an': 0}
  • id: 13028810
    {'hecke_orbit_code': 1443142566040, 'n': 3, 'trace_an': -6}
  • id: 13028811
    {'hecke_orbit_code': 1443142566040, 'n': 4, 'trace_an': 0}
  • id: 13028812
    {'hecke_orbit_code': 1443142566040, 'n': 5, 'trace_an': 0}
  • id: 13028813
    {'hecke_orbit_code': 1443142566040, 'n': 6, 'trace_an': 12}
  • id: 13028814
    {'hecke_orbit_code': 1443142566040, 'n': 7, 'trace_an': 0}
  • id: 13028815
    {'hecke_orbit_code': 1443142566040, 'n': 8, 'trace_an': 0}
  • id: 13028816
    {'hecke_orbit_code': 1443142566040, 'n': 9, 'trace_an': 6}
  • id: 13028817
    {'hecke_orbit_code': 1443142566040, 'n': 10, 'trace_an': 0}
  • id: 13028818
    {'hecke_orbit_code': 1443142566040, 'n': 11, 'trace_an': 0}
  • id: 13028819
    {'hecke_orbit_code': 1443142566040, 'n': 12, 'trace_an': 0}
  • id: 13028820
    {'hecke_orbit_code': 1443142566040, 'n': 13, 'trace_an': 0}
  • id: 13028821
    {'hecke_orbit_code': 1443142566040, 'n': 14, 'trace_an': 0}
  • id: 13028822
    {'hecke_orbit_code': 1443142566040, 'n': 15, 'trace_an': 0}
  • id: 13028823
    {'hecke_orbit_code': 1443142566040, 'n': 16, 'trace_an': 0}
  • id: 13028824
    {'hecke_orbit_code': 1443142566040, 'n': 17, 'trace_an': 0}
  • id: 13028825
    {'hecke_orbit_code': 1443142566040, 'n': 18, 'trace_an': 0}
  • id: 13028826
    {'hecke_orbit_code': 1443142566040, 'n': 19, 'trace_an': 0}
  • id: 13028827
    {'hecke_orbit_code': 1443142566040, 'n': 20, 'trace_an': 0}
  • id: 13028828
    {'hecke_orbit_code': 1443142566040, 'n': 21, 'trace_an': 0}
  • id: 13028829
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  • id: 13028830
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  • id: 13028831
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  • id: 13028832
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  • id: 13028833
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  • id: 13028834
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  • id: 13028835
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  • id: 13028836
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  • id: 13028837
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  • id: 13028838
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  • id: 13028839
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  • id: 13028840
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  • id: 13028841
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  • id: 13028842
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  • id: 13028843
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  • id: 13028844
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  • id: 13028845
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  • id: 13028846
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  • id: 13028847
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  • id: 13028848
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  • id: 13028849
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  • id: 13028850
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  • id: 13028851
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  • id: 13028852
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  • id: 13028853
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  • id: 13028854
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  • id: 13028855
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  • id: 13028856
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  • id: 13028857
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  • id: 13028858
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  • id: 13028859
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  • id: 13028860
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  • id: 13028861
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  • id: 13028862
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  • id: 13028863
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  • id: 13028864
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  • id: 13028865
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  • id: 13028866
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  • id: 13028867
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  • id: 13028868
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  • id: 13028869
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  • id: 13028870
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  • id: 13028871
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  • id: 13028872
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  • id: 13028873
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  • id: 13028874
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  • id: 13028875
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  • id: 13028876
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  • id: 13028877
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  • id: 13028878
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  • id: 13028879
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  • id: 13028880
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  • id: 13028881
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  • id: 13028882
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  • id: 13028883
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  • id: 13028884
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  • id: 13028885
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  • id: 13028886
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  • id: 13028887
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  • id: 13028888
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  • id: 13028889
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  • id: 13028890
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  • id: 13028891
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  • id: 13028892
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  • id: 13028893
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  • id: 13028894
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  • id: 13028895
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  • id: 13028896
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  • id: 13028897
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  • id: 13028898
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  • id: 13028899
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  • id: 13028900
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  • id: 13028901
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  • id: 13028902
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  • id: 13028903
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  • id: 13028904
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  • id: 13028905
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  • id: 13028906
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  • id: 13028907
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  • id: 13028908
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  • id: 13028909
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  • id: 13028910
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  • id: 13028911
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  • id: 13028912
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  • id: 13028913
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  • id: 13028914
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  • id: 13028915
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  • id: 13028916
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  • id: 13028917
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  • id: 13028918
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  • id: 13028919
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  • id: 13028920
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  • id: 13028921
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  • id: 13028922
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  • id: 13028923
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  • id: 13028924
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  • id: 13028925
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  • id: 13028926
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  • id: 13028927
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  • id: 13028928
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  • id: 13028929
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  • id: 13028930
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  • id: 13028931
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  • id: 13028932
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  • id: 13028933
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  • id: 13028934
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  • id: 13028935
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  • id: 13028936
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  • id: 13028937
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  • id: 13028938
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  • id: 13028939
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  • id: 13028940
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  • id: 13028941
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  • id: 13028942
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  • id: 13028943
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  • id: 13028944
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  • id: 13028945
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  • id: 13028946
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  • id: 13028947
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  • id: 13028948
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  • id: 13028949
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  • id: 13028950
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  • id: 13028951
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  • id: 13028952
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  • id: 13028953
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  • id: 13028954
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  • id: 13028955
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  • id: 13028956
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  • id: 13028957
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  • id: 13028958
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  • id: 13028959
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  • id: 13028960
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  • id: 13028961
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  • id: 13028962
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  • id: 13028963
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  • id: 13028964
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  • id: 13028965
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  • id: 13028966
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  • id: 13028967
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  • id: 13028968
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  • id: 13028969
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  • id: 13028970
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  • id: 13028971
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  • id: 13028972
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  • id: 13028973
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  • id: 13028974
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  • id: 13028975
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  • id: 13028976
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  • id: 13028977
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  • id: 13028978
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  • id: 13028979
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  • id: 13028980
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  • id: 13028981
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  • id: 13028982
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  • id: 13028983
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  • id: 13028984
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  • id: 13028985
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  • id: 13028986
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  • id: 13028987
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  • id: 13028988
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  • id: 13028989
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  • id: 13028990
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  • id: 13028991
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  • id: 13028992
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  • id: 13028993
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  • id: 13028994
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  • id: 13028995
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  • id: 13028996
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  • id: 13028997
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  • id: 13028998
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  • id: 13028999
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  • id: 13029000
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  • id: 13029001
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  • id: 13029002
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  • id: 13029003
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  • id: 13029004
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  • id: 13029005
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  • id: 13029006
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  • id: 13029007
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  • id: 13029008
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  • id: 13029009
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  • id: 13029010
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  • id: 13029011
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  • id: 13029012
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  • id: 13029013
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  • id: 13029014
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  • id: 13029015
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  • id: 13029016
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  • id: 13029017
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  • id: 13029018
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  • id: 13029019
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  • id: 13029020
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  • id: 13029021
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  • id: 13029022
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  • id: 13029023
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  • id: 13029024
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  • id: 13029025
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  • id: 13029026
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  • id: 13029027
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  • id: 13029028
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  • id: 13029029
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  • id: 13029030
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  • id: 13029031
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  • id: 13029032
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  • id: 13029033
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  • id: 13029034
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  • id: 13029035
    {'hecke_orbit_code': 1443142566040, 'n': 809, 'trace_an': 0}
  • id: 13029036
    {'hecke_orbit_code': 1443142566040, 'n': 811, 'trace_an': 0}
  • id: 13029037
    {'hecke_orbit_code': 1443142566040, 'n': 821, 'trace_an': 0}
  • id: 13029038
    {'hecke_orbit_code': 1443142566040, 'n': 823, 'trace_an': 0}
  • id: 13029039
    {'hecke_orbit_code': 1443142566040, 'n': 827, 'trace_an': 162}
  • id: 13029040
    {'hecke_orbit_code': 1443142566040, 'n': 829, 'trace_an': 0}
  • id: 13029041
    {'hecke_orbit_code': 1443142566040, 'n': 839, 'trace_an': 0}
  • id: 13029042
    {'hecke_orbit_code': 1443142566040, 'n': 841, 'trace_an': 0}
  • id: 13029043
    {'hecke_orbit_code': 1443142566040, 'n': 853, 'trace_an': 0}
  • id: 13029044
    {'hecke_orbit_code': 1443142566040, 'n': 857, 'trace_an': -324}
  • id: 13029045
    {'hecke_orbit_code': 1443142566040, 'n': 859, 'trace_an': -174}
  • id: 13029046
    {'hecke_orbit_code': 1443142566040, 'n': 863, 'trace_an': 0}
  • id: 13029047
    {'hecke_orbit_code': 1443142566040, 'n': 877, 'trace_an': 0}
  • id: 13029048
    {'hecke_orbit_code': 1443142566040, 'n': 881, 'trace_an': 0}
  • id: 13029049
    {'hecke_orbit_code': 1443142566040, 'n': 883, 'trace_an': 6}
  • id: 13029050
    {'hecke_orbit_code': 1443142566040, 'n': 887, 'trace_an': 0}
  • id: 13029051
    {'hecke_orbit_code': 1443142566040, 'n': 907, 'trace_an': 30}
  • id: 13029052
    {'hecke_orbit_code': 1443142566040, 'n': 911, 'trace_an': 0}
  • id: 13029053
    {'hecke_orbit_code': 1443142566040, 'n': 919, 'trace_an': 0}
  • id: 13029054
    {'hecke_orbit_code': 1443142566040, 'n': 929, 'trace_an': -162}
  • id: 13029055
    {'hecke_orbit_code': 1443142566040, 'n': 937, 'trace_an': -102}
  • id: 13029056
    {'hecke_orbit_code': 1443142566040, 'n': 941, 'trace_an': 0}
  • id: 13029057
    {'hecke_orbit_code': 1443142566040, 'n': 947, 'trace_an': 0}
  • id: 13029058
    {'hecke_orbit_code': 1443142566040, 'n': 953, 'trace_an': 252}
  • id: 13029059
    {'hecke_orbit_code': 1443142566040, 'n': 961, 'trace_an': 186}
  • id: 13029060
    {'hecke_orbit_code': 1443142566040, 'n': 967, 'trace_an': 0}
  • id: 13029061
    {'hecke_orbit_code': 1443142566040, 'n': 971, 'trace_an': -324}
  • id: 13029062
    {'hecke_orbit_code': 1443142566040, 'n': 977, 'trace_an': 0}
  • id: 13029063
    {'hecke_orbit_code': 1443142566040, 'n': 983, 'trace_an': 0}
  • id: 13029064
    {'hecke_orbit_code': 1443142566040, 'n': 991, 'trace_an': 0}
  • id: 13029065
    {'hecke_orbit_code': 1443142566040, 'n': 997, 'trace_an': 0}