Newform data - 3249.2.a.e

Formats: - HTML - YAML - JSON - 2025-12-02T00:02:03.770223

• 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': 12996, 'analytic_conductor': 25.943395616713996, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [19, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3249, 1, [362, 2890], [1, 1]], 'cm_discs': [-19], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [0, 1]], [5, [-1, 1]], [13, [0, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18014398543039665, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 19, 2, -1, 2, -19]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '3249.2.a.e', 'level': 3249, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 19], 'level_radical': 57, 'minimal_twist': '361.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2q^{4}+q^{5}+3q^{7}+5q^{11}+4q^{16}+\\cdots', 'related_objects': ['EllipticCurve/Q/3249/e'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.1.d1', 'self_twist_discs': [-19], 'self_twist_type': 1, 'space_label': '3249.2.a', 'trace_display': [0, 0, 1, 3], 'trace_hash': 1152629183203958463, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.026', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.959', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.073', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.847', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.258', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.418', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.515', 'prec': 17}, 'traces': [1, 0, 0, -2, 1, 0, 3, 0, 0, 0, 5, 0, 0, 0, 0, 4, 7, 0, 0, -2, 0, 0, 4, 0, -4, 0, 0, -6, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, -1, -10, 0, 0, -13, 0, 2, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 15, 0, 0, -8, 0, 0, 0, -14, 0, 0, 0, 0, -11, 0, 0, 0, 15, 0, 0, 4, 0, 0, 16, 0, 7, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 8, -10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 4, 0, 0, 0, 21, 0, 14, 0, 0, 0, -9, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 23, 0, -9, -6, 0, 0, 0, 0, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 12, 0, -24, 0, 0, 0, 0, 0, -13, 0, 0, 2, 0, 0, -12, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 35, 26, 0, 0, 17, 0, 0, 0, 0, -4, -22, 0, -25, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 0, 0, 0, 21, 0, 0, 0, 1, 0, -13, 0, 0, 0, 5, 0, 0, 0, 0, -30, 2, 0, 0, 0, 0, 0, 23, 0, 20, 0, 0, 16, 0, 0, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, 0, 0, -20, 28, 0, 0, -20, 0, 33, 0, 0, 0, 0, 0, 31, 0, 0, 0, 0, 0, 32, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, -3, 0, 0, 0, 15, 0, 0, -30, 0, 0, 35, 0, -6, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, -39, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -14, 0, 0, -15, 0, 0, 0, -37, 0, -35, 0, 0, 0, -14, 0, 0, 0, 0, 0, -31, 0, 0, 0, 0, 0, -11, 0, -28, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15, 0, 0, 0, 25, 0, 28, 0, 0, 0, 0, 0, -7, 0, 0, -16, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, -40, 0, 0, 0, 0, 0, -28, 0, 45, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, -17, 0, 0, -8, -37, 0, 41, 0, 0, 0, 43, 0, 0, 0, 0, 0, -5, 0, 0, -42, 0, 0, 4, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -39, 18, 0, 0, 44, 0, -10, 0, 0, 0, 0, 0, -33, 0, 0, 0, 0, 0, -65, 0, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, -7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, -25, 0, 0, 0, 0, 0, 0, -46, 0, 0, 0, 0, 0, 0, 0, 18, 47, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, -16, 0, 3, 0, 0, 0, 48, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, -34, 0, 21, -22, 0, 0, 0, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, -39, 0, 0, 0, -13, 0, -24, 0, 0, 0, 0, 0, 11, 0, 0, -36, 0, 0, 15, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -49, -24, 0, 0, 17, 0, 0, 0, 0, 48, -41, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 75, 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, 0, 0, 0, 23, 0, 0, -4, 0, 0, -35, 0, 0, 0, -9, 0, 0, 0, 0, 24, -50, 0, 0, -40, 0, 0, -30, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49, 0, 0, 0, 0, 0, 0, 0, 37, 0, 0, 0, -7, 0, 14, 0, 0, 0, 0, 0, -45, 0, 0, 0, 0, 0, 11, 0, 0, -70, 0, 0, 0, -52, 0, 0, 0, 0, 27, 0, 0, 0, 55, 0, 0, -34, 0, 0, 0, 0, 51, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 18, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 50, 0, 0, -91, 0, 0, 0, -55, 0, 12, 0, 0, 0, 5, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -53, 0, -9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, -29, 0, 0, 0, -13, 0, 42, 0, 0, 0, 0, 0, -26, 0, 0, 0, 0, 0, 15, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -27, 0, 0, 0, 0, 20, 35, 0, 51, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, -42, 21, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, -50, 0, 0, -2, 0, 0, 35, 0, -47, 0, 0, 26, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 17, -10, 0, 0, 69, 0, -31, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -27, 0, 0, 60, 0, 0, 0, -4, 0, 0, 0, 0, -22, 0, 0, 0, -4, 0, 0, 0, 0, 0, -25, 0, -63, 0, 0, 0, 0, 0, 0, -46, 0, 0, 0, 0, 0, 0, 0, -40, -29, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 20, 0, -54, 0, 0, 0, 105, 0, 0, 0, 0, 0, 33, 0, 0, 0, 0, 0, 61, 0, 48, -22, 0, 0, 0, 0, 0, 0, 0, 0, -65, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -52, 0, 0, 40, 0, 0, 53, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54, 40, 0, 0, -59, 0, 0, 0, 0, -66, 35, 0, -50, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, -62, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 21, 0, 0, 0, 0, 0, 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-14, 0, 0, 0, 0, 0, 60, 58, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 17, 0, 0, 0, 0, 48, -120, 0, -31, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 85, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 34, 0, 0, 60, 0, 0, 0, -28, 0, 0, 0, 0, 16, 33, 0, 0, 74, 0, 0, 23, 0, -42, 0, 0, -82, 0, 0, 0, 0, 0, 0, -65, 0, 0, 0, 0, 0, 0, 0, -77, -86, 0, 0, 25, 0, -81, 0, 0, 0, 0, 0, -45, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, -60, 0, 0, 0, -2, 0, 0, 84, 0, 0, 73, 0, 64, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 99, 0, 0, 0, 0, 0, 25, 0, 0, 0, -14, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 49, 0, 0, 0, 0, 0, 0, 0, 93, 0, 0, 0, -7, 0, 33, 0, 0, 0, 0, 0, 69, 0, 0, 78, 0, 0, -61, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -87, -88, 0, 0, 0, 0, 0, 0, 0, 20, 13, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 85, 0, 0, 0, 0, 66, 0, 0, 0, 0, 0, 0, 0, 0, -74, 0, 0, 0, 98, 0, 0, 0, 0, 0, -71, 0, 0, 0, 0, 130, 26, 0, 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0, 0, 0, 0, 0, -99, -150, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, -40, 0, 0, 0, 0, -52, -25, 0, -63, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 75, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, -46, 58, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, -31, 0, 0, 0, 0, 0, 0, 0, 115, 0, 0, 70, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, -21, 18, 0, 0, 56, 0, 47, 0, 0, 0, 0, 0, -83, 0, 0, 0, 0, 0, 53, 0, 0, -48, 0, 0, 0, 100, 0, 0, 0, 0, -53, 0, 0, 0, 0, 0, 0, 80, 0, 0, 35, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -20, -67, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -55, 0, 0, 0, 40, 0, 22, 0, 0, 0, 62, 0, 0, 0, 0, 0, -195, 0, 0, 0, 0, 0, -91, 0, -36, -98, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 55, 0, 0, 0, 82, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, -74, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14, 0, 0, -97, 0, 0, 0, 0, -28, -120, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 0, 0, 0, -34, 0, 0, 0, 1, 0, 3, 0, 0, 0, -84, 0, 0, 0, 0, -22, -100, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 140, 0, 0, 0, 0, 0, 0, 11, 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], [-2], [1], [0], [3], [0], [0], [0], [5], [0], [0], [0], [0], [4], [7], [0], [0], [-2], [0], [0], [4], [0], [-4], [0], [0], [-6], [0], [0], [0], [0], [0], [0], [3], [0], [0], [0], [0], [0], [0], [0], [-1], [-10], [0], [0], [-13], [0], [2], [0], [0], [0], [0], [0], [5], [0], [0], [0], [0], [0], [15], [0], [0], [-8], [0], [0], [0], [-14], [0], [0], [0], [0], [-11], [0], [0], [0], [15], [0], [0], [4], [0], [0], [16], [0], [7], [0], [0], [0], [0], [0], [0], [-8], [0], [0], [0], [0], [0], [0], [0], [8]], 'ap': [[0], [0], [1], [3], [5], [0], [7], [0], [4], [0], [0], [0], [0], [-1], [-13], [0], [0], [15], [0], [0], [-11], [0], [16], [0], [0], [-10], [0], [0], [0], [0], [0], [7], [23], [-9], [11], [0], [18], [-24], [0], [0], [0], [0], [17], [0], [-22], [-25], [0], [0], [0], [21], [1], [5], [0], [23], [0], [11], [0], [-20], [33], [0], [31], [0], [0], [35], [-6], [0], [0], [0], [-37], [-35], [-14], [-31], [-28], [0], [0], [0], [25], [-7], [0], [0], [-40], [0], [0], [0], [0], [-29], [0], [-17], [-37], [41], [43], [4], [0], [-8], [-39], [44], [0], [0], [0], [-25], [0], [47], [0], [0], [40], [3], [7], [-34], [0], [0], [0], [-39], [-13], [-24], [15], [0], [-49], [17], [-41], [0], [0], [0], [0], [0], [-35], [-50], [10], [49], [37], [14], [-45], [0], [0], [27], [55], [51], [0], [0], [0], [5], [0], [-53], [-9], [0], [0], [0], [-26], [0], [15], [0], [0], [35], [51], [0], [0], [0], [60], [-50], [-47], [0], [-8], [0], [12], [0], [0], [0], [0], [-63], [0], [-29], [0], [0], [20], [-54], [0], [61], [48], [-65], [0], [-1], [53], [0], [0], [0], [-59], [35], [0], [0], [0], [-52], [0], [61], [0], [0], [-32], [0], [-23], [46], [-2], [-41], [0], [0], [0], [0], [-56], [-53], [29], [0], [-65], [0], [18], [-70], [71], [0], [0], [0], [-68], [0], [0], [1], [0], [0], [0], [69], [0], [15], [0], [0], [0], [73], [51], [0], [0], [0], [21], [77], [41], [-71], [64], [0], [0], [-43], [-4], [0], [0], [55], [-63], [0], [0], [-29], [78], [77], [-52], [0], [-31], [80], [-47], [0], [0], [-42], [0], [0], [-49], [0], [-67], [0], [0], [5], [0], [61], [0], [0], [-39], [-81], [0], [84], [17], [0], [0], [85], [0], [60], [23], [0], [-77], [25], [-81], [0], [-45], [0], [-2], [73], [0], [0], [0], [-14], [0], [49], [0], [33], [69], [0], [-61], [0], [-87], [0], [0], [0], [85], [-74], [-71], [26], [0], [0], [68], [0], [-89], [0], [91], [55], [0], [13], [0], [0], [-86], [0], [0], [0], [0], [-89], [-45], [0], [84], [-59], [-25], [47], [0], [0], [-93], [-92], [0], [83], [0], [0], [0], [0], [-42], [0], [0], [-97], [0], [0], [85], [0], [0], [0], [20], [-88], [-53], [0], [37], [-70], [0], [0], [-87], [0], [-98], [0], [0], [80], [0], [11], [0], [-77], [-43], [0], [92], [-101], [85], [0], [0], [-71], [-47], [-103], [0], [0], [-100], [-102], [-99], [0], [0], [0], [-40], [-63], [0], [0], [0], [0], [0], [58], [0], [-31], [0], [0], [0], [-83], [53], [0], [0], [35], [0], [-67], [0], [-55], [22], [62], [0], [0], [82], [0], [0], [0], [-97], [0], [0], [0], [0], [1], [3], [11]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 18014398543039665, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '3249.2.a.e', 'level': 3249, 'maxp': 2999, '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

  
  {'ALdims': [23, 33, 41, 36], 'ALdims_eis_new': [0, 0, 8, 9], 'ALdims_eis_old': [19, 20, 12, 11], 'ALdims_old': [58, 57, 49, 44], 'Nk2': 12996, 'analytic_conductor': 25.943395616713996, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3249, 1, [362, 2890], [1, 1]], 'conrey_index': 1, 'cusp_dim': 341, 'dim': 133, 'eis_dim': 79, 'eis_new_dim': 17, 'hecke_cutter_primes': [2, 5, 13], 'hecke_orbit_code': 33557681, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 6, 6, 6, 6, 8, 8, 8, 8], 'label': '3249.2.a', 'level': 3249, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 19], 'level_radical': 57, 'mf_dim': 420, 'mf_new_dim': 150, 'num_forms': 40, 'plus_dim': 59, 'prim_orbit_index': 1, 'relative_dim': 133, 'sturm_bound': 760, 'trace_bound': 91, 'trace_display': [-3, 0, 0, 2], 'traces': [133, -3, 0, 121, 0, 0, 2, -3, 0, 10, 2, 0, -6, 4, 0, 97, -6, 0, 0, 14, 0, 20, 8, 0, 93, 6, 0, 34, -4, 0, 4, 21, 0, 22, 20, 0, -20, 0, 0, 66, -16, 0, 18, -14, 0, 8, -2, 0, 75, -1, 0, -14, 10, 0, 8, 0, 0, -36, -26, 0, -20, 22, 0, 31, -36, 0, 8, 26, 0, -24, 6, 0, 2, -26, 0, 0, 12, 0, -8, 60, 0, 24, 44, 0, -28, 0, 0, 12, 14, 0, 20, 84, 0, -24, 0, 0, 10, -47, 0, -3, 6, 0, 18, -28, 0, -90, -10, 0, -42, 12, 0, 78, 8, 0, 4, -38, 0, -114, 20, 0, 67, -14, 0, -48, 18, 0, 38, -3, 0, -12, -24, 0, 0, -16, 0, 54, 10, 0, 46, 30, 0, 12, 8, 0, 26, 54, 0, -138, 30, 0, 42, 0, 0, -16, -8, 0, 2, -54, 0, 146, 20, 0, 32, -2, 0, 76, 34, 0, 29, 0, 0, 98, -20, 0, 74, 28, 0, -72, -50, 0, -36, 194, 0, -48, 34, 0, 26, -18, 0, 0, 20, 0, 14, 54, 0, 1, 16, 0, -14, 3, 0, -30, -26, 0, -2, -6, 0, -38, 0, 0, 22, -10, 0, -24, 96, 0, 28, -58, 0, -16, -44, 0, -6, -16, 0, 70, 36, 0, -124, -40, 0, -104, -20, 0, -60, 8, 0, -32, -20, 0, 12, 13, 0, -2, -58, 0, 0, -6, 0, 12, 38, 0, -52, -22, 0, -51, 14, 0, 34, 12, 0, 52, 32, 0, 0, 0, 0, -4, -26, 0, 58, -16, 0, -138, 24, 0, 100, 40, 0, -96, 8, 0, 132, -12, 0, 92, -18, 0, 35, 184, 0, 112, -50, 0, 18, 32, 0, -126, -8, 0, 16, 14, 0, 0, 48, 0, -40, 24, 0, 62, -8, 0, 164, 38, 0, 24, -16, 0, -106, 46, 0, 136, 0, 0, -30, 28, 0, 50, 76, 0, 24, 16, 0, 22, -20, 0, -30, -5, 0, -144, -24, 0, 160, 12, 0, 68, -4, 0, -86, 64, 0, 124, -14, 0, 6, -14, 0, 4, 54, 0, 0, -134, 0, 120, -184, 0, -50, 148, 0, 6, -80, 0, 42, 20, 0, 168, -150, 0, -74, 0, 0, 120, 0, 0, 126, -214, 0, -42, -14, 0, 92, 21, 0, 114, -24, 0, -164, 44, 0, -253, 58, 0, 46, 34, 0, 42, -18, 0, 38, -172, 0, 76, 46, 0, -64, 250, 0, 0, 50, 0, -106, 60, 0, -122, -182, 0, 6, 40, 0, -232, -100, 0, 120, -90, 0, -134, 0, 0, -14, 0, 0, -174, 40, 0, -56, 8, 0, -114, -58, 0, -54, -26, 0, -4, 24, 0, 66, -14, 0, -72, -210, 0, 0, 70, 0, 46, -92, 0, 20, -84, 0, -304, 14, 0, 0, 44, 0, -24, -44, 0, 156, -256, 0, -17, 32, 0, -58, 6, 0, -166, -34, 0, 94, 0, 0, -168, 90, 0, -24, 86, 0, -76, 62, 0, -108, 32, 0, 140, -26, 0, 10, -75, 0, -72, 46, 0, 118, -42, 0, -54, 22, 0, 14, 4, 0, -104, -24, 0, 9, -76, 0, 0, 62, 0, 70, 36, 0, -162, 218, 0, -32, -48, 0, 134, -20, 0, 32, 46, 0, 92, 0, 0, 96, 18, 0, 10, -154, 0, 36, 238, 0, -52, 58, 0, -78, -32, 0, -156, -6, 0, -148, 64, 0, -162, -36, 0, 176, 67, 0, 64, 62, 0, 92, -30, 0, 10, -10, 0, 0, -20, 0, -294, -72, 0, -94, -46, 0, -64, -60, 0, 96, -4, 0, 28, 32, 0, -192, 0, 0, -140, 48, 0, 126, 36, 0, -192, -130, 0, 20, 80, 0, -32, 48, 0, 85, -46, 0, 58, 78, 0, -18, -394, 0, -222, 26, 0, -18, -426, 0, 162, 58, 0, 84, -296, 0, 0, 24, 0, 122, -226, 0, -118, -4, 0, -46, 10, 0, -24, -78, 0, -58, -382, 0, 276, 0, 0, -72, 68, 0, -332, -14, 0, 220, -280, 0, -1, -52, 0, 104, -36, 0, -98, 60, 0, -170, 140, 0, -36, -54, 0, 6, 98, 0, -212, -48, 0, -30, -70, 0, 116, 10, 0, 0, -360, 0, 22, -2, 0, -146, -92, 0, -162, 64, 0, 36, -16, 0, 240, -4, 0, 54, 0, 0, -170, 54, 0, 116, 250, 0, -92, 414, 0, 174, 32, 0, -32, -28, 0, 16, -16, 0, -520, -8, 0, -16, -6, 0, -322, -18, 0, -24, -12, 0, 124, -22, 0, -38, 386, 0, 0, -86, 0, -144, -332, 0, 62, -40, 0, -56, -12, 0, -226, -4, 0, 0, 0, 0, -222, 0, 0, -90, -56, 0, 51, 190, 0, -72, -394, 0, -198, -34, 0, 24, -22, 0, 52, -74, 0, -46, -5, 0, -344, 378, 0, 148, 96, 0, -318, -36, 0, 132, -28, 0, -300, 46, 0, 0, -38, 0, -208, -106, 0, 166, 164, 0, 112, -56, 0, -18, 32, 0, -246, 42, 0, 54, 0, 0, 28, 102, 0, -153, -392, 0, 96, -188, 0, -252, 38, 0, 58, -8, 0, -62, -52, 0, -30, 88, 0, 100, 184, 0, 32, -22, 0, -22, 390, 0, 40, 40, 0, 260, -332, 0, 0, -36, 0, 28, -28, 0, -384, -92, 0, -28, -28, 0, 188, -86, 0, -54, -248, 0, 4, 0, 0, 14, 0, 0, -94, 8, 0, 40, 364, 0, -46, 22, 0, -100, 60, 0, -346, -26, 0, -98, 46, 0, -202, -86, 0, 78, 24, 0, 138, -132, 0, -102, 60, 0, -6, -30, 0, 0, 60, 0, 108, 292, 0, -246, -328, 0, -212, 4, 0, 16, 20, 0, -56, 324, 0, -160, 0, 0, -96, -58, 0, -126, -58, 0, -336, 76, 0, -185, 36, 0, 178, 8, 0, 136, 33, 0, 320, 48, 0, 154, -308, 0, 130, -6, 0, 156, 32, 0, 4, -84, 0, -254, -148, 0, 0, 20, 0, -110, 40, 0, 12, 478, 0, 50, 88, 0, -12], '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: 1071425
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '3249.2.a.e', 'source_level': 3249, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '361.2.a.a', 'target_level': 361, 'twist_class_label': '361.2.a.a', 'twist_class_level': 361, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1071426
    {'conductor': 57, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '3249.2.a.e', 'source_level': 3249, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '361.2.a.a', 'target_level': 361, 'twist_class_label': '361.2.a.a', 'twist_class_level': 361, 'twisting_char_label': '57.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1071427
    {'conductor': 57, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '3249.2.a.e', 'source_level': 3249, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '361.2.c.b', 'target_level': 361, 'twist_class_label': '361.2.a.a', 'twist_class_level': 361, 'twisting_char_label': '57.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1071428
    {'conductor': 57, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '3249.2.a.e', 'source_level': 3249, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '361.2.c.b', 'target_level': 361, 'twist_class_label': '361.2.a.a', 'twist_class_level': 361, 'twisting_char_label': '57.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1071429
    {'conductor': 57, 'degree': 6, 'multiplicity': 6, 'order': 18, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '3249.2.a.e', 'source_level': 3249, 'target_char_orbit': 5, 'target_dim': 6, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '361.2.e.c', 'target_level': 361, 'twist_class_label': '361.2.a.a', 'twist_class_level': 361, 'twisting_char_label': '57.j', 'twisting_char_orbit': 10, 'weight': 2}
  • id: 1071430
    {'conductor': 57, 'degree': 6, 'multiplicity': 6, 'order': 18, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '3249.2.a.e', 'source_level': 3249, 'target_char_orbit': 5, 'target_dim': 6, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '361.2.e.c', 'target_level': 361, 'twist_class_label': '361.2.a.a', 'twist_class_level': 361, 'twisting_char_label': '57.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 1071431
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '3249.2.a.e', 'source_level': 3249, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '3249.2.a.e', 'target_level': 3249, 'twist_class_label': '361.2.a.a', 'twist_class_level': 361, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1071432
    {'conductor': 19, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -19, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '3249.2.a.e', 'source_level': 3249, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '3249.2.a.e', 'target_level': 3249, 'twist_class_label': '361.2.a.a', 'twist_class_level': 361, 'twisting_char_label': '19.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1071433
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '3249.2.a.e', 'source_level': 3249, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '5776.2.a.i', 'target_level': 5776, 'twist_class_label': '361.2.a.a', 'twist_class_level': 361, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1071434
    {'conductor': 228, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '3249.2.a.e', 'source_level': 3249, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '5776.2.a.i', 'target_level': 5776, 'twist_class_label': '361.2.a.a', 'twist_class_level': 361, 'twisting_char_label': '228.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1071435
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '3249.2.a.e', 'source_level': 3249, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '9025.2.a.f', 'target_level': 9025, 'twist_class_label': '361.2.a.a', 'twist_class_level': 361, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1071436
    {'conductor': 285, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 5, 'source_is_minimal': False, 'source_label': '3249.2.a.e', 'source_level': 3249, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '9025.2.a.f', 'target_level': 9025, 'twist_class_label': '361.2.a.a', 'twist_class_level': 361, 'twisting_char_label': '285.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3082150
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 2}
  • id: 3082151
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 3}
  • id: 3082152
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 5}
  • id: 3082153
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 7}
  • id: 3082154
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 11}
  • id: 3082155
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 13}
  • id: 3082156
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 17}
  • id: 3082157
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 19}
  • id: 3082158
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 23}
  • id: 3082159
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 29}
  • id: 3082160
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 31}
  • id: 3082161
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 37}
  • id: 3082162
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 41}
  • id: 3082163
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 43}
  • id: 3082164
    {'charpoly_factorization': [[[13, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 47}
  • id: 3082165
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 53}
  • id: 3082166
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 59}
  • id: 3082167
    {'charpoly_factorization': [[[-15, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 61}
  • id: 3082168
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 67}
  • id: 3082169
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 71}
  • id: 3082170
    {'charpoly_factorization': [[[11, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 73}
  • id: 3082171
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 79}
  • id: 3082172
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 83}
  • id: 3082173
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543039665, 'p': 89}
  • id: 3082174
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 18014398543039665, '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': 1, 'hecke_orbit': 5, 'label': '3249.2.a.e', 'level': 3249, '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: 38449201
    {'hecke_orbit_code': 18014398543039665, 'n': 1, 'trace_an': 1}
  • id: 38449202
    {'hecke_orbit_code': 18014398543039665, 'n': 2, 'trace_an': 0}
  • id: 38449203
    {'hecke_orbit_code': 18014398543039665, 'n': 3, 'trace_an': 0}
  • id: 38449204
    {'hecke_orbit_code': 18014398543039665, 'n': 4, 'trace_an': -2}
  • id: 38449205
    {'hecke_orbit_code': 18014398543039665, 'n': 5, 'trace_an': 1}
  • id: 38449206
    {'hecke_orbit_code': 18014398543039665, 'n': 6, 'trace_an': 0}
  • id: 38449207
    {'hecke_orbit_code': 18014398543039665, 'n': 7, 'trace_an': 3}
  • id: 38449208
    {'hecke_orbit_code': 18014398543039665, 'n': 8, 'trace_an': 0}
  • id: 38449209
    {'hecke_orbit_code': 18014398543039665, 'n': 9, 'trace_an': 0}
  • id: 38449210
    {'hecke_orbit_code': 18014398543039665, 'n': 10, 'trace_an': 0}
  • id: 38449211
    {'hecke_orbit_code': 18014398543039665, 'n': 11, 'trace_an': 5}
  • id: 38449212
    {'hecke_orbit_code': 18014398543039665, 'n': 12, 'trace_an': 0}
  • id: 38449213
    {'hecke_orbit_code': 18014398543039665, 'n': 13, 'trace_an': 0}
  • id: 38449214
    {'hecke_orbit_code': 18014398543039665, 'n': 14, 'trace_an': 0}
  • id: 38449215
    {'hecke_orbit_code': 18014398543039665, 'n': 15, 'trace_an': 0}
  • id: 38449216
    {'hecke_orbit_code': 18014398543039665, 'n': 16, 'trace_an': 4}
  • id: 38449217
    {'hecke_orbit_code': 18014398543039665, 'n': 17, 'trace_an': 7}
  • id: 38449218
    {'hecke_orbit_code': 18014398543039665, 'n': 18, 'trace_an': 0}
  • id: 38449219
    {'hecke_orbit_code': 18014398543039665, 'n': 19, 'trace_an': 0}
  • id: 38449220
    {'hecke_orbit_code': 18014398543039665, 'n': 20, 'trace_an': -2}
  • id: 38449221
    {'hecke_orbit_code': 18014398543039665, 'n': 21, 'trace_an': 0}
  • id: 38449222
    {'hecke_orbit_code': 18014398543039665, 'n': 22, 'trace_an': 0}
  • id: 38449223
    {'hecke_orbit_code': 18014398543039665, 'n': 23, 'trace_an': 4}
  • id: 38449224
    {'hecke_orbit_code': 18014398543039665, 'n': 24, 'trace_an': 0}
  • id: 38449225
    {'hecke_orbit_code': 18014398543039665, 'n': 25, 'trace_an': -4}
  • id: 38449226
    {'hecke_orbit_code': 18014398543039665, 'n': 26, 'trace_an': 0}
  • id: 38449227
    {'hecke_orbit_code': 18014398543039665, 'n': 27, 'trace_an': 0}
  • id: 38449228
    {'hecke_orbit_code': 18014398543039665, 'n': 28, 'trace_an': -6}
  • id: 38449229
    {'hecke_orbit_code': 18014398543039665, 'n': 29, 'trace_an': 0}
  • id: 38449230
    {'hecke_orbit_code': 18014398543039665, 'n': 30, 'trace_an': 0}
  • id: 38449231
    {'hecke_orbit_code': 18014398543039665, 'n': 31, 'trace_an': 0}
  • id: 38449232
    {'hecke_orbit_code': 18014398543039665, 'n': 32, 'trace_an': 0}
  • id: 38449233
    {'hecke_orbit_code': 18014398543039665, 'n': 33, 'trace_an': 0}
  • id: 38449234
    {'hecke_orbit_code': 18014398543039665, 'n': 34, 'trace_an': 0}
  • id: 38449235
    {'hecke_orbit_code': 18014398543039665, 'n': 35, 'trace_an': 3}
  • id: 38449236
    {'hecke_orbit_code': 18014398543039665, 'n': 36, 'trace_an': 0}
  • id: 38449237
    {'hecke_orbit_code': 18014398543039665, 'n': 37, 'trace_an': 0}
  • id: 38449238
    {'hecke_orbit_code': 18014398543039665, 'n': 38, 'trace_an': 0}
  • id: 38449239
    {'hecke_orbit_code': 18014398543039665, 'n': 39, 'trace_an': 0}
  • id: 38449240
    {'hecke_orbit_code': 18014398543039665, 'n': 40, 'trace_an': 0}
  • id: 38449241
    {'hecke_orbit_code': 18014398543039665, 'n': 41, 'trace_an': 0}
  • id: 38449242
    {'hecke_orbit_code': 18014398543039665, 'n': 42, 'trace_an': 0}
  • id: 38449243
    {'hecke_orbit_code': 18014398543039665, 'n': 43, 'trace_an': -1}
  • id: 38449244
    {'hecke_orbit_code': 18014398543039665, 'n': 44, 'trace_an': -10}
  • id: 38449245
    {'hecke_orbit_code': 18014398543039665, 'n': 45, 'trace_an': 0}
  • id: 38449246
    {'hecke_orbit_code': 18014398543039665, 'n': 46, 'trace_an': 0}
  • id: 38449247
    {'hecke_orbit_code': 18014398543039665, 'n': 47, 'trace_an': -13}
  • id: 38449248
    {'hecke_orbit_code': 18014398543039665, 'n': 48, 'trace_an': 0}
  • id: 38449249
    {'hecke_orbit_code': 18014398543039665, 'n': 49, 'trace_an': 2}
  • id: 38449250
    {'hecke_orbit_code': 18014398543039665, 'n': 50, 'trace_an': 0}
  • id: 38449251
    {'hecke_orbit_code': 18014398543039665, 'n': 51, 'trace_an': 0}
  • id: 38449252
    {'hecke_orbit_code': 18014398543039665, 'n': 52, 'trace_an': 0}
  • id: 38449253
    {'hecke_orbit_code': 18014398543039665, 'n': 53, 'trace_an': 0}
  • id: 38449254
    {'hecke_orbit_code': 18014398543039665, 'n': 54, 'trace_an': 0}
  • id: 38449255
    {'hecke_orbit_code': 18014398543039665, 'n': 55, 'trace_an': 5}
  • id: 38449256
    {'hecke_orbit_code': 18014398543039665, 'n': 56, 'trace_an': 0}
  • id: 38449257
    {'hecke_orbit_code': 18014398543039665, 'n': 57, 'trace_an': 0}
  • id: 38449258
    {'hecke_orbit_code': 18014398543039665, 'n': 58, 'trace_an': 0}
  • id: 38449259
    {'hecke_orbit_code': 18014398543039665, 'n': 59, 'trace_an': 0}
  • id: 38449260
    {'hecke_orbit_code': 18014398543039665, 'n': 60, 'trace_an': 0}
  • id: 38449261
    {'hecke_orbit_code': 18014398543039665, 'n': 61, 'trace_an': 15}
  • id: 38449262
    {'hecke_orbit_code': 18014398543039665, 'n': 62, 'trace_an': 0}
  • id: 38449263
    {'hecke_orbit_code': 18014398543039665, 'n': 63, 'trace_an': 0}
  • id: 38449264
    {'hecke_orbit_code': 18014398543039665, 'n': 64, 'trace_an': -8}
  • id: 38449265
    {'hecke_orbit_code': 18014398543039665, 'n': 65, 'trace_an': 0}
  • id: 38449266
    {'hecke_orbit_code': 18014398543039665, 'n': 66, 'trace_an': 0}
  • id: 38449267
    {'hecke_orbit_code': 18014398543039665, 'n': 67, 'trace_an': 0}
  • id: 38449268
    {'hecke_orbit_code': 18014398543039665, 'n': 68, 'trace_an': -14}
  • id: 38449269
    {'hecke_orbit_code': 18014398543039665, 'n': 69, 'trace_an': 0}
  • id: 38449270
    {'hecke_orbit_code': 18014398543039665, 'n': 70, 'trace_an': 0}
  • id: 38449271
    {'hecke_orbit_code': 18014398543039665, 'n': 71, 'trace_an': 0}
  • id: 38449272
    {'hecke_orbit_code': 18014398543039665, 'n': 72, 'trace_an': 0}
  • id: 38449273
    {'hecke_orbit_code': 18014398543039665, 'n': 73, 'trace_an': -11}
  • id: 38449274
    {'hecke_orbit_code': 18014398543039665, 'n': 74, 'trace_an': 0}
  • id: 38449275
    {'hecke_orbit_code': 18014398543039665, 'n': 75, 'trace_an': 0}
  • id: 38449276
    {'hecke_orbit_code': 18014398543039665, 'n': 76, 'trace_an': 0}
  • id: 38449277
    {'hecke_orbit_code': 18014398543039665, 'n': 77, 'trace_an': 15}
  • id: 38449278
    {'hecke_orbit_code': 18014398543039665, 'n': 78, 'trace_an': 0}
  • id: 38449279
    {'hecke_orbit_code': 18014398543039665, 'n': 79, 'trace_an': 0}
  • id: 38449280
    {'hecke_orbit_code': 18014398543039665, 'n': 80, 'trace_an': 4}
  • id: 38449281
    {'hecke_orbit_code': 18014398543039665, 'n': 81, 'trace_an': 0}
  • id: 38449282
    {'hecke_orbit_code': 18014398543039665, 'n': 82, 'trace_an': 0}
  • id: 38449283
    {'hecke_orbit_code': 18014398543039665, 'n': 83, 'trace_an': 16}
  • id: 38449284
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  • id: 38449285
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  • id: 38449286
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  • id: 38449287
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  • id: 38449288
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  • id: 38449289
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  • id: 38449290
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  • id: 38449291
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  • id: 38449292
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  • id: 38449293
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  • id: 38449294
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  • id: 38449295
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  • id: 38449296
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  • id: 38449297
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  • id: 38449298
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  • id: 38449299
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  • id: 38449300
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  • id: 38449301
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  • id: 38449302
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  • id: 38449303
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  • id: 38449304
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  • id: 38449305
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  • id: 38449306
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  • id: 38449307
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  • id: 38449308
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  • id: 38449309
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  • id: 38449310
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  • id: 38449311
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  • id: 38449312
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  • id: 38449313
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  • id: 38449314
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  • id: 38449315
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  • id: 38449316
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  • id: 38449317
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  • id: 38449318
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  • id: 38449319
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  • id: 38449320
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  • id: 38449321
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  • id: 38449322
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  • id: 38449323
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  • id: 38449324
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  • id: 38449325
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  • id: 38449326
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  • id: 38449327
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  • id: 38449328
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  • id: 38449329
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  • id: 38449330
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  • id: 38449331
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  • id: 38449332
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  • id: 38449333
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  • id: 38449334
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  • id: 38449335
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  • id: 38449336
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  • id: 38449337
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  • id: 38449338
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  • id: 38449339
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  • id: 38449340
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  • id: 38449341
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  • id: 38449342
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  • id: 38449343
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  • id: 38449344
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  • id: 38449345
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  • id: 38449346
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  • id: 38449347
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  • id: 38449348
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  • id: 38449349
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  • id: 38449350
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  • id: 38449351
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  • id: 38449352
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  • id: 38449353
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  • id: 38449354
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  • id: 38449355
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  • id: 38449356
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  • id: 38449357
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  • id: 38449358
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  • id: 38449359
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  • id: 38449360
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  • id: 38449361
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  • id: 38449362
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  • id: 38449363
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  • id: 38449364
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  • id: 38449365
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  • id: 38449366
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  • id: 38449367
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  • id: 38449368
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  • id: 38449369
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  • id: 38449370
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  • id: 38449371
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  • id: 38449372
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  • id: 38449373
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  • id: 38449374
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  • id: 38449375
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  • id: 38449376
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  • id: 38449377
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  • id: 38449378
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  • id: 38449379
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  • id: 38449380
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  • id: 38449381
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  • id: 38449382
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  • id: 38449383
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  • id: 38449384
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  • id: 38449385
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  • id: 38449386
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  • id: 38449387
    {'hecke_orbit_code': 18014398543039665, 'n': 547, 'trace_an': 0}
  • id: 38449388
    {'hecke_orbit_code': 18014398543039665, 'n': 557, 'trace_an': 47}
  • id: 38449389
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  • id: 38449390
    {'hecke_orbit_code': 18014398543039665, 'n': 569, 'trace_an': 0}
  • id: 38449391
    {'hecke_orbit_code': 18014398543039665, 'n': 571, 'trace_an': 40}
  • id: 38449392
    {'hecke_orbit_code': 18014398543039665, 'n': 577, 'trace_an': 3}
  • id: 38449393
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  • id: 38449394
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  • id: 38449395
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  • id: 38449396
    {'hecke_orbit_code': 18014398543039665, 'n': 601, 'trace_an': 0}
  • id: 38449397
    {'hecke_orbit_code': 18014398543039665, 'n': 607, 'trace_an': 0}
  • id: 38449398
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  • id: 38449399
    {'hecke_orbit_code': 18014398543039665, 'n': 617, 'trace_an': -13}
  • id: 38449400
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  • id: 38449401
    {'hecke_orbit_code': 18014398543039665, 'n': 625, 'trace_an': 11}
  • id: 38449402
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  • id: 38449403
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  • id: 38449404
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  • id: 38449405
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  • id: 38449406
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  • id: 38449407
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  • id: 38449408
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  • id: 38449409
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  • id: 38449410
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  • id: 38449411
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  • id: 38449412
    {'hecke_orbit_code': 18014398543039665, 'n': 691, 'trace_an': -35}
  • id: 38449413
    {'hecke_orbit_code': 18014398543039665, 'n': 701, 'trace_an': -50}
  • id: 38449414
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  • id: 38449415
    {'hecke_orbit_code': 18014398543039665, 'n': 719, 'trace_an': 49}
  • id: 38449416
    {'hecke_orbit_code': 18014398543039665, 'n': 727, 'trace_an': 37}
  • id: 38449417
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  • id: 38449418
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  • id: 38449419
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  • id: 38449420
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  • id: 38449421
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  • id: 38449422
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  • id: 38449423
    {'hecke_orbit_code': 18014398543039665, 'n': 761, 'trace_an': 55}
  • id: 38449424
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  • id: 38449425
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  • id: 38449426
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  • id: 38449427
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  • id: 38449428
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  • id: 38449429
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  • id: 38449430
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  • id: 38449431
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  • id: 38449432
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  • id: 38449433
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  • id: 38449434
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  • id: 38449435
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  • id: 38449436
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  • id: 38449437
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  • id: 38449438
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  • id: 38449439
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  • id: 38449440
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  • id: 38449441
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  • id: 38449442
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  • id: 38449443
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  • id: 38449444
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  • id: 38449445
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  • id: 38449446
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  • id: 38449447
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  • id: 38449448
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  • id: 38449449
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  • id: 38449450
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  • id: 38449451
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  • id: 38449452
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  • id: 38449453
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  • id: 38449454
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  • id: 38449455
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  • id: 38449456
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  • id: 38449457
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  • id: 38449458
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