Newform data - 444.2.w.b

Formats: - HTML - YAML - JSON - 2026-07-17T02:36:00.453323

• 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': 1776, 'analytic_conductor': 3.5453578497448492, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 111, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 23, 'char_orbit_label': 'w', 'char_order': 12, 'char_parity': 1, 'char_values': [444, 12, [223, 149, 409], [12, 6, 7]], 'cm_discs': [-3], 'conrey_index': 29, 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [0, 1]], [7, [729, 0, 27, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4505111489413564, 'hecke_ring_generator_nbound': 13, '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, 3, 2, -1, 2, -3], [1, 1, 37, 7, -1, 12, 0], [1, 1, 111, 13, 1, 12, 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': '444.2.w.b', 'level': 444, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 37], 'level_radical': 222, 'minimal_twist': '444.2.w.b', 'nf_label': '4.0.144.1', 'prim_orbit_index': 13, 'qexp_display': 'q+(1+\\zeta_{12}^{2})q^{3}+(-3\\zeta_{12}+6\\zeta_{12}^{3})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.1.d12', 'self_twist_discs': [-3], 'self_twist_type': 1, 'space_label': '444.2.w', 'trace_display': [0, 6, 0, 0], 'trace_hash': 1102240784421815964, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.676', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '75.287', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2285.235', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.650', 'prec': 17}, 'traces': [4, 0, 6, 0, 0, 0, 0, 0, 6, 0, 0, 0, -14, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 20, 0, -24, 0, 0, 0, -10, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, -26, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 30, 0, 0, 0, -38, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -38, 0, 18, 0, 0, 0, 0, 0, -30, 0, 0, 0, -44, 0, 0, 0, 0, 0, -38, 0, -36, 0, 0, 0, -54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -34, 0, 0, 0, 0, 0, 90, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 50, 0, 0, 0, 0, 0, 34, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, -28, 0, -54, 0, 0, 0, -102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 90, 0, 0, 0, 62, 0, 24, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 66, 0, 0, 0, -26, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -50, 0, -42, 0, 0, 0, 64, 0, -6, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, -66, 0, 0, 0, 62, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -78, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, -46, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54, 0, 0, 0, 62, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -82, 0, 0, 0, 0, 0, 88, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, -306, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, -90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 58, 0, 0, 0, 0, 0, -2, 0, -84, 0, 0, 0, -126, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 82, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -98, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 50, 0, 0, 0, 0, 0, 86, 0, 78, 0, 0, 0, 200, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 198, 0, 0, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 106, 0, 0, 0, 0, 0, -106, 0, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 162, 0, 6, 0, 0, 0, 88, 0, -108, 0, 0, 0, 114, 0, 0, 0, 0, 0, 0, 0, -204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -94, 0, 0, 0, 0, 0, -70, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -124, 0, 0, 0, 0, 0, -34, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 138, 0, 216, 0, 0, 0, -10, 0, 0, 0, 0, 0, -92, 0, 114, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -114, 0, 0, 0, -46, 0, 0, 0, 0, 0, -86, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 70, 0, -30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 110, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 38, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 6, 0, 0, 0, 0, 0, 78, 0, 0, 0, -320, 0, 0, 0, 0, 0, -70, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 82, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 66, 0, 0, 0, -118, 0, -72, 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], [1, 0, 1, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -3, 0, 6], [0, 0, 0, 0], [0, 0, 3, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-4, -4, 1, 3], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [5, 5, -3, -2], [0, 0, 0, 0], [0, -9, 0, 9], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 5, 0, -5], [0, 0, 0, 0], [-3, 0, 6, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [5, -1, 1, -5], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [3, 0, 4, 0], [0, 0, 0, 0], [-5, -7, -2, 2], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-6, 7, 7, -6], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, -20, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [8, 7, -1, 1], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-9, 9, 5, -4], [0, 0, 0, 0], [0, -18, 0, 9], [0, 0, 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, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 17], [0, 0, 0, 0], [0, 10, 0, -5], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [10, 10, -7, -3], [0, 0, 0, 0], [-9, 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], [15, 6, -21, -21], [0, 0, 0, 0], [4, 4, 7, -11], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-8, -3, -3, -8], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]], 'ap': [[0, 0, 0, 0], [1, 0, 1, 0], [0, 0, 0, 0], [0, -3, 0, 6], [0, 0, 0, 0], [-4, -4, 1, 3], [0, 0, 0, 0], [5, 5, -3, -2], [0, 0, 0, 0], [0, 0, 0, 0], [5, -1, 1, -5], [3, 0, 4, 0], [0, 0, 0, 0], [-6, 7, 7, -6], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-9, 9, 5, -4], [0, -5, 0, 0], [0, 0, 0, 0], [0, 0, 0, 17], [10, 10, -7, -3], [0, 0, 0, 0], [0, 0, 0, 0], [-8, -3, -3, -8], [0, 0, 0, 0], [11, 2, -2, -11], [0, 0, 0, 0], [-7, 12, -5, -5], [0, 0, 0, 0], [0, 0, -19, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -7, 0, 7], [0, 0, 0, 0], [9, 0, 9, 0], [0, -13, 0, -13], [-14, -3, 11, -11], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -11, 0, 22], [0, 0, 0, 0], [9, 7, 7, 9], [0, 0, 0, 0], [2, -13, 13, -2], [13, 0, 0, 0], [5, 0, 0, 0], [0, 0, 0, 0], [-7, 0, 7, 0], [0, 0, 0, 0], [0, 0, 0, 0], [1, 1, -16, 15], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 9, 0, 9], [19, -19, -7, 12], [0, 0, 0, 0], [-19, 19, 6, -13], [0, 0, 0, 0], [1, 0, -2, 0], [0, 0, 0, 0], [3, 16, -19, -19], [0, 0, 0, 0], [11, -21, 10, 10], [-21, 0, -21, 0], [0, 0, 0, 0], [0, -20, 0, -20], [0, 0, 0, 0], [0, 0, 0, 0], [31, 0, -31, 0], [0, -25, 0, 0], [0, 22, 0, 22], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, -1], [0, 0, 0, 0], [-15, 8, 23, -23], [0, 0, 0, 0], [-1, 20, -20, 1], [0, 0, 0, 0], [0, 48, 0, -24], [23, -23, -18, 5], [0, 0, 0, 0], [0, 0, 0, 0], [7, 7, 17, -24], [0, 0, 0, 0], [21, 21, -22, 1], [0, 0, 0, 0], [0, 0, 0, 0], [23, -2, -2, 23], [0, 0, 0, 0], [-7, 7, 25, 18], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-17, -17, 26, -9], [25, -21, -21, 25], [13, 27, -27, -13], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -21, 0, -21], [8, 19, -27, -27], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 1, 0, 1], [-26, -23, 3, -3], [-56, 0, 28, 0], [0, 0, 0, 0], [5, 0, -10, 0], [29, 14, -15, 15], [0, 0, 0, 0], [-11, -29, 29, 11], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [20, -20, -29, -9], [0, 8, 0, -16], [0, 0, 0, 0], [0, 0, 0, 0], [0, -49, 0, 49], [0, 0, 0, 0], [-25, -3, -3, -25], [0, 0, 0, 0], [13, -13, 18, 31], [19, 0, 19, 0], [30, 0, -60, 0], [0, 0, 0, 0], [0, 0, 0, 41], [1, 27, -28, -28], [0, 0, 0, 0], [-32, -17, 17, 32], [0, 0, 0, 0], [-31, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 6, 0, -12], [0, 0, 0, 0], [0, 0, -5, 0], [0, 0, 0, 0], [-13, -33, -20, 20], [0, 0, 0, 0], [4, -27, -31, 31], [0, 0, 0, 0], [-10, -23, -23, -10], [0, 0, 0, 0], [0, 6, 0, -3], [0, 0, 0, 0], [21, -21, 13, 34], [0, 0, 0, 0], [26, 26, -33, 7], [0, 0, 0, 0], [-18, -35, 35, 18], [0, 0, 0, 0], [0, 0, -35, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [34, 34, -27, -7], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-9, 26, -26, 9], [-36, 23, 13, 13]], 'char_orbit_index': 23, 'field_poly': [1, 0, -1, 0, 1], 'hecke_orbit_code': 4505111489413564, 'hecke_ring_character_values': [[223, [1, 0, 0, 0]], [149, [-1, 0, 0, 0]], [409, [0, 1, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 4, 'label': '444.2.w.b', 'level': 444, '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': 1776, 'analytic_conductor': 3.5453578497448492, 'char_conductor': 111, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 23, 'char_orbit_label': 'w', 'char_order': 12, 'char_parity': 1, 'char_values': [444, 12, [223, 149, 409], [12, 6, 7]], 'conrey_index': 29, 'cusp_dim': 280, 'dim': 48, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7], 'hecke_orbit_code': 1511862043068, 'hecke_orbit_dims': [4, 4, 40], 'label': '444.2.w', 'level': 444, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 37], 'level_radical': 222, 'mf_dim': 328, 'mf_new_dim': 48, 'num_forms': 3, 'prim_orbit_index': 13, 'relative_dim': 12, 'sturm_bound': 152, 'trace_bound': 3, 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, -4, 0, 0, 0, 0, 0, -8, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -4, 0, 14, 0, 0, 0, 12, 0, -54, 0, 0, 0, -8, 0, 14, 0, 0, 0, 20, 0, 46, 0, 0, 0, 8, 0, -36, 0, 0, 0, 12, 0, -50, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, -26, 0, 0, 0, 0, 0, -32, 0, 0, 0, 20, 0, 6, 0, 0, 0, 24, 0, -12, 0, 0, 0, -4, 0, -94, 0, 0, 0, 24, 0, 32, 0, 0, 0, -96, 0, -14, 0, 0, 0, 8, 0, -4, 0, 0, 0, 12, 0, -70, 0, 0, 0, -68, 0, 18, 0, 0, 0, -120, 0, -12, 0, 0, 0, -64, 0, 0, 0, 0, 0, 60, 0, 46, 0, 0, 0, -32, 0, 0, 0, 0, 0, -48, 0, 8, 0, 0, 0, 132, 0, 14, 0, 0, 0, 0, 0, -26, 0, 0, 0, -72, 0, 4, 0, 0, 0, -64, 0, 156, 0, 0, 0, 160, 0, 116, 0, 0, 0, -20, 0, -62, 0, 0, 0, -116, 0, 158, 0, 0, 0, 32, 0, 102, 0, 0, 0, 100, 0, 72, 0, 0, 0, -24, 0, -18, 0, 0, 0, 48, 0, 92, 0, 0, 0, 156, 0, 98, 0, 0, 0, 48, 0, -180, 0, 0, 0, -12, 0, 0, 0, 0, 0, 176, 0, 110, 0, 0, 0, 28, 0, -14, 0, 0, 0, -80, 0, -42, 0, 0, 0, 36, 0, 70, 0, 0, 0, 164, 0, 138, 0, 0, 0, -140, 0, -52, 0, 0, 0, -12, 0, -44, 0, 0, 0, 0, 0, -48, 0, 0, 0, -164, 0, -50, 0, 0, 0, 0, 0, -158, 0, 0, 0, -36, 0, 124, 0, 0, 0, -52, 0, 42, 0, 0, 0, 124, 0, -278, 0, 0, 0, 76, 0, -78, 0, 0, 0, -336, 0, 78, 0, 0, 0, -192, 0, -42, 0, 0, 0, 100, 0, -92, 0, 0, 0, -360, 0, 62, 0, 0, 0, -240, 0, -36, 0, 0, 0, -48, 0, 0, 0, 0, 0, -36, 0, 114, 0, 0, 0, -152, 0, 0, 0, 0, 0, -116, 0, 58, 0, 0, 0, 204, 0, 10, 0, 0, 0, 0, 0, -130, 0, 0, 0, -108, 0, -66, 0, 0, 0, 16, 0, 246, 0, 0, 0, 100, 0, 108, 0, 0, 0, -76, 0, -128, 0, 0, 0, -176, 0, 256, 0, 0, 0, 176, 0, 468, 0, 0, 0, 0, 0, 152, 0, 0, 0, 224, 0, -222, 0, 0, 0, 108, 0, 86, 0, 0, 0, 236, 0, -2, 0, 0, 0, -212, 0, -174, 0, 0, 0, -108, 0, 0, 0, 0, 0, 480, 0, 94, 0, 0, 0, -64, 0, 74, 0, 0, 0, 8, 0, -242, 0, 0, 0, 72, 0, 68, 0, 0, 0, 76, 0, 150, 0, 0, 0, 36, 0, -112, 0, 0, 0, 12, 0, -244, 0, 0, 0, 0, 0, -40, 0, 0, 0, -140, 0, -250, 0, 0, 0, 0, 0, -358, 0, 0, 0, -156, 0, -22, 0, 0, 0, 80, 0, -192, 0, 0, 0, 156, 0, -290, 0, 0, 0, 128, 0, -274, 0, 0, 0, -72, 0, 80, 0, 0, 0, -216, 0, -78, 0, 0, 0, 96, 0, -358, 0, 0, 0, -292, 0, 112, 0, 0, 0, -552, 0, 66, 0, 0, 0, -112, 0, 0, 0, 0, 0, 264, 0, 258, 0, 0, 0, -48, 0, 0, 0, 0, 0, 112, 0, 86, 0, 0, 0, 132, 0, 82, 0, 0, 0, 0, 0, -112, 0, 0, 0, -40, 0, -16, 0, 0, 0, 92, 0, 372, 0, 0, 0, 312, 0, 228, 0, 0, 0, -40, 0, -270, 0, 0, 0, -144, 0, 322, 0, 0, 0, 376, 0, 444, 0, 0, 0, 324, 0, 40, 0, 0, 0, 152, 0, -48, 0, 0, 0, 344, 0, 260, 0, 0, 0, 460, 0, 130, 0, 0, 0, -16, 0, -336, 0, 0, 0, -24, 0, 0, 0, 0, 0, 224, 0, 90, 0, 0, 0, 360, 0, 24, 0, 0, 0, -76, 0, -146, 0, 0, 0, 24, 0, 218, 0, 0, 0, 396, 0, 266, 0, 0, 0, -52, 0, -88, 0, 0, 0, 168, 0, -278, 0, 0, 0, 0, 0, -276, 0, 0, 0, -300, 0, -46, 0, 0, 0, 0, 0, -302, 0, 0, 0, 164, 0, 188, 0, 0, 0, -88, 0, 12, 0, 0, 0, -116, 0, -582, 0, 0, 0, -16, 0, -18, 0, 0, 0, -564, 0, 8, 0, 0, 0, 72, 0, -126, 0, 0, 0, 232, 0, -316, 0, 0, 0, -196, 0, 150, 0, 0, 0, -528, 0, -24, 0, 0, 0, -328, 0, 0, 0, 0, 0, 96, 0, 260, 0, 0, 0, -280, 0, 0, 0, 0, 0, -332, 0, 108, 0, 0, 0, 456, 0, -96, 0, 0, 0, 0, 0, -58, 0, 0, 0, -276, 0, -214, 0, 0, 0, -92, 0, 66, 0, 0, 0, 192, 0, 228, 0, 0, 0, -256, 0, -186, 0, 0, 0, -264, 0, 446, 0, 0, 0, 24, 0, 684, 0, 0, 0, 320, 0, 236, 0, 0, 0, -144, 0, -228, 0, 0, 0, 36, 0, 78, 0, 0, 0, 396, 0, -142, 0, 0, 0, -80, 0, -204, 0, 0, 0, 240, 0, 0, 0, 0, 0, 628, 0, 104, 0, 0, 0, 28, 0, 106, 0, 0, 0, -136, 0, -378, 0, 0, 0, 124, 0, 10, 0, 0, 0, 304, 0, 220, 0, 0, 0, -448, 0, -424, 0, 0, 0, -264, 0, -284, 0, 0, 0, 0, 0, -212, 0, 0, 0, -192, 0, -300, 0, 0, 0, 0, 0, -498, 0, 0, 0, -188, 0, -10, 0, 0, 0, 80, 0, -132, 0, 0, 0, 328, 0, -402, 0, 0, 0, 140, 0, -158, 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: 325338
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 23, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '444.2.w.b', 'source_level': 444, 'target_char_orbit': 23, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '444.2.w.b', 'target_level': 444, 'twist_class_label': '444.2.w.b', 'twist_class_level': 444, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 325339
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -3, 'source_char_orbit': 23, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '444.2.w.b', 'source_level': 444, 'target_char_orbit': 23, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '444.2.w.b', 'target_level': 444, 'twist_class_label': '444.2.w.b', 'twist_class_level': 444, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 325340
    {'conductor': 37, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 23, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '444.2.w.b', 'source_level': 444, 'target_char_orbit': 23, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '444.2.w.b', 'target_level': 444, 'twist_class_label': '444.2.w.b', 'twist_class_level': 444, 'twisting_char_label': '37.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 325341
    {'conductor': 111, 'degree': 4, 'multiplicity': 1, 'order': 12, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 23, 'source_dim': 4, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '444.2.w.b', 'source_level': 444, 'target_char_orbit': 23, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '444.2.w.b', 'target_level': 444, 'twist_class_label': '444.2.w.b', 'twist_class_level': 444, 'twisting_char_label': '111.m', 'twisting_char_orbit': 13, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 899950
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505111489413564, 'p': 2}
  • id: 899951
    {'charpoly_factorization': [[[3, -3, 1], 2]], 'hecke_orbit_code': 4505111489413564, 'p': 3}
  • id: 899952
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505111489413564, 'p': 5}
  • id: 899953
    {'charpoly_factorization': [[[729, 0, 27, 0, 1], 1]], 'hecke_orbit_code': 4505111489413564, 'p': 7}
  • id: 899954
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505111489413564, 'p': 11}
  • id: 899955
    {'charpoly_factorization': [[[1, 4, 53, 14, 1], 1]], 'hecke_orbit_code': 4505111489413564, 'p': 13}
  • id: 899956
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505111489413564, 'p': 17}
  • id: 899957
    {'charpoly_factorization': [[[676, -52, 50, -14, 1], 1]], 'hecke_orbit_code': 4505111489413564, 'p': 19}
  • id: 899958
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505111489413564, 'p': 23}
  • id: 899959
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505111489413564, 'p': 29}
  • id: 899960
    {'charpoly_factorization': [[[3481, -1298, 242, -22, 1], 1]], 'hecke_orbit_code': 4505111489413564, 'p': 31}
  • id: 899961
    {'charpoly_factorization': [[[37, -10, 1], 2]], 'hecke_orbit_code': 4505111489413564, 'p': 37}
  • id: 899962
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505111489413564, 'p': 41}
  • id: 899963
    {'charpoly_factorization': [[[3721, -610, 50, 10, 1], 1]], 'hecke_orbit_code': 4505111489413564, 'p': 43}
  • id: 899964
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505111489413564, 'p': 47}
  • id: 899965
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505111489413564, 'p': 53}
  • id: 899966
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505111489413564, 'p': 59}
  • id: 899967
    {'charpoly_factorization': [[[5476, 148, 170, 26, 1], 1]], 'hecke_orbit_code': 4505111489413564, 'p': 61}
  • id: 899968
    {'charpoly_factorization': [[[625, 0, -25, 0, 1], 1]], 'hecke_orbit_code': 4505111489413564, 'p': 67}
  • id: 899969
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505111489413564, 'p': 71}
  • id: 899970
    {'charpoly_factorization': [[[289, 0, 1], 2]], 'hecke_orbit_code': 4505111489413564, 'p': 73}
  • id: 899971
    {'charpoly_factorization': [[[17161, -1048, 185, -26, 1], 1]], 'hecke_orbit_code': 4505111489413564, 'p': 79}
  • id: 899972
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505111489413564, 'p': 83}
  • id: 899973
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505111489413564, 'p': 89}
  • id: 899974
    {'charpoly_factorization': [[[27889, 6346, 722, 38, 1], 1]], 'hecke_orbit_code': 4505111489413564, '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': 23, 'hecke_orbit': 2, 'label': '444.2.w.b', 'level': 444, '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

  
  Showing the first 100 of 258 matching records in this table.
  • id: 24874531
    {'hecke_orbit_code': 4505111489413564, 'n': 1, 'trace_an': 4}
  • id: 24874532
    {'hecke_orbit_code': 4505111489413564, 'n': 2, 'trace_an': 0}
  • id: 24874533
    {'hecke_orbit_code': 4505111489413564, 'n': 3, 'trace_an': 6}
  • id: 24874534
    {'hecke_orbit_code': 4505111489413564, 'n': 4, 'trace_an': 0}
  • id: 24874535
    {'hecke_orbit_code': 4505111489413564, 'n': 5, 'trace_an': 0}
  • id: 24874536
    {'hecke_orbit_code': 4505111489413564, 'n': 6, 'trace_an': 0}
  • id: 24874537
    {'hecke_orbit_code': 4505111489413564, 'n': 7, 'trace_an': 0}
  • id: 24874538
    {'hecke_orbit_code': 4505111489413564, 'n': 8, 'trace_an': 0}
  • id: 24874539
    {'hecke_orbit_code': 4505111489413564, 'n': 9, 'trace_an': 6}
  • id: 24874540
    {'hecke_orbit_code': 4505111489413564, 'n': 10, 'trace_an': 0}
  • id: 24874541
    {'hecke_orbit_code': 4505111489413564, 'n': 11, 'trace_an': 0}
  • id: 24874542
    {'hecke_orbit_code': 4505111489413564, 'n': 12, 'trace_an': 0}
  • id: 24874543
    {'hecke_orbit_code': 4505111489413564, 'n': 13, 'trace_an': -14}
  • id: 24874544
    {'hecke_orbit_code': 4505111489413564, 'n': 14, 'trace_an': 0}
  • id: 24874545
    {'hecke_orbit_code': 4505111489413564, 'n': 15, 'trace_an': 0}
  • id: 24874546
    {'hecke_orbit_code': 4505111489413564, 'n': 16, 'trace_an': 0}
  • id: 24874547
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  • id: 24874548
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  • id: 24874549
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  • id: 24874550
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  • id: 24874551
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  • id: 24874552
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  • id: 24874553
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  • id: 24874554
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  • id: 24874555
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  • id: 24874556
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  • id: 24874557
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  • id: 24874558
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  • id: 24874559
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  • id: 24874560
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  • id: 24874561
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  • id: 24874562
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  • id: 24874563
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  • id: 24874564
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  • id: 24874565
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  • id: 24874566
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  • id: 24874567
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  • id: 24874568
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  • id: 24874569
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  • id: 24874570
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  • id: 24874571
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  • id: 24874572
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  • id: 24874573
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  • id: 24874574
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  • id: 24874575
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  • id: 24874576
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  • id: 24874577
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  • id: 24874578
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  • id: 24874579
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  • id: 24874580
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  • id: 24874581
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  • id: 24874582
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  • id: 24874583
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  • id: 24874584
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  • id: 24874585
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  • id: 24874586
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  • id: 24874587
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  • id: 24874588
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  • id: 24874589
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  • id: 24874590
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  • id: 24874591
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  • id: 24874592
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  • id: 24874593
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  • id: 24874594
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  • id: 24874595
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  • id: 24874596
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  • id: 24874597
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  • id: 24874598
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  • id: 24874599
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  • id: 24874600
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  • id: 24874601
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  • id: 24874602
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  • id: 24874603
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  • id: 24874604
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  • id: 24874605
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  • id: 24874606
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  • id: 24874607
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  • id: 24874608
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  • id: 24874609
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  • id: 24874610
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  • id: 24874611
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  • id: 24874612
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  • id: 24874613
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  • id: 24874614
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  • id: 24874615
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  • id: 24874616
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  • id: 24874617
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  • id: 24874618
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  • id: 24874619
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  • id: 24874620
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  • id: 24874621
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  • id: 24874622
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  • id: 24874623
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  • id: 24874624
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  • id: 24874625
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  • id: 24874626
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  • id: 24874627
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  • id: 24874628
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  • id: 24874629
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  • id: 24874630
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