Newform data - 9075.2.a.y

Formats: - HTML - YAML - JSON - 2025-09-14T04:10:22.884092

• 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': 36300, 'analytic_conductor': 72.46423983431195, 'analytic_rank': 2, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1], [11, 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': [9075, 1, [3026, 727, 5326], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 5, 'field_disc_factorization': [[5, 1]], 'field_poly': [-1, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 10, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-1, 1, 1]], [7, [3, 1]], [13, [-9, 3, 1]], [17, [-11, 6, 1]], [19, [20, 10, 1]], [23, [41, 13, 1]], [37, [19, 11, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090455411, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '9075.2.a.y', 'level': 9075, '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': [3, 5, 11], 'level_radical': 165, 'minimal_twist': '825.2.n.a', 'nf_label': '2.2.5.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta q^{2}-q^{3}+(-1+\\beta )q^{4}+\\beta q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9075.2.a', 'trace_display': [-1, -2, 0, -6], 'trace_hash': 1666311868268654923, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.903', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '8.788', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '55.770', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.014', 'prec': 17}, 'traces': [2, -1, -2, -1, 0, 1, -6, 0, 2, 0, 0, 1, -3, 3, 0, -3, -6, -1, -10, 0, 6, 0, -13, 0, 0, -6, -2, 3, 5, 0, -11, 9, 0, 13, 0, -1, -11, 0, 3, 0, 4, -3, -8, 0, 0, 9, -21, 3, 4, 0, 6, 9, -8, 1, 0, 0, 10, -5, -15, 0, -16, 13, -6, 4, 0, 0, 4, -7, 13, 0, -6, 0, 7, 13, 0, 10, 0, 6, 5, 0, 2, 3, -23, -3, 0, -1, -5, 0, -15, 0, 9, 4, 11, 8, 0, -9, -6, -2, 0, 0, 9, -13, -8, 15, 0, -6, -6, 1, 30, 0, 11, 9, -8, 0, 0, 0, -3, 0, 18, 0, 0, 3, -4, -2, 0, 3, -11, -25, 8, 0, -1, 0, 30, -17, 0, -20, -1, -9, 5, 0, 21, -7, 0, -3, 0, -11, -4, -2, 10, 0, 4, 10, -6, 0, 0, -9, -11, 20, 8, 0, 39, -1, -23, -7, 0, 9, 24, 0, 1, 0, -10, 9, 2, 5, 0, 0, 15, -15, 0, 0, -1, 18, 16, 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24, -27, -9, 0, 0, -7, -20, -138, 24, 0, -90, 30, -1, -55, 0, 129, 83, 6, -37, 0, -33, -61, -39, -21, 0, 0, -5, 67, 23, 0, 75, 9, -13, -15, 0, 35, 0, -48, -8, 0, -60, 12, -45, 8, 0, 89, -36, 0, 40, 0, -27, -11, 0, -7, 0, 89, 32, -72, 0, 0, 39, -6, 23, 10, 0, -24, 24, -30, 14, 0, -25, -18, -15, 30, 0, -66, 3, 9, -12, 0, 0, 75, 25, -12, 0, -36, -10, -8, -15, 0, -65, 0, 15, -5, 0, -20, -17, 27, 3, 0, -81, -42, 0, -55, 0, -150, 45, 36, -79, 0, -9, -67, -45, 0, 0, 29, 22, 22, -87, 0, 90, 24, 5, -30, 0, -8, -1, -36, 40, 0, -51, -3, -20, 60, 0, 0, -47, -24, 90, 0, -6, -16, 46, -40, 0, -66, 0, -13, -69, 0, 12, 25, 31, -3, 0, 27, 23, 0, 15, 0, 59, 10, 0, 115, 0, -46, 33, -5, 0, 0, -45, -31, 5, -79, 0, -86, -39, 57, 3, 0, 50, 20, 45, -12, 0, -10, 20, 12, 50, 0, 0, 70, 69, 43, 0, 34, -77, -24, -62, 0, -39, 0, -75, 9, 0, 24, 27, -36, -72, 0, 85, 138, 0, -85, 0, -4, -7, 60, 45, 0, -71, -2, 43, 0, 0, 144, 84, -4, -12, 0, 13, -30, -99, 33, 0, 3, 52, -18, 10, 0, -66, 34, 56, 129, 0, 0, 75, -28, -3, 0, -105, -55, 80, -12, 0, 39, 0, 30, -30, 0, -18, -67, 78, -52, 0, 9, -15, 0, 53, 0, -51, -1, -34, -100, 0, 23, 30, 117, 0, 0, -86, -18, -35, 27, 0, 89, 69, 26, 18, 0, -24, 73, 5, -21, 0, -30, 15, -61, -25, 0, 0, -56, 3, -55, 0, -49, -37, -18, -55, 0, -30, 0, 101, 52, 0, 44, -72, 36, -57, 0, 8, 44, 0, 90, 0, -10, -53, 42, -124, 0, 30, -51, 16, 0, 0, -45, -17, -42, 7, 0, -96, 55, 63, 90, 0, -6, 120, 9, 45, 0, -4, 18, 20, -12, 0, 0, 1, -46, -42, 0, 54, -135, -60, 113, 0, 33, 0, -153, -25, 0, 24, 30, 96, -50, 0, 14, 103, 0, 60, 0, 97, 94, -67, 5, 0, -16, 6, -81, 0, 0, -10, -6, -17, -102, 0, -49, -77, -45, 12, 0, -66, -18, -37, 77, 0, -16, -36, -24, -57, 0, 0, 34, 5, -39, 0, -26, 32, 72, -90, 0, -61, 0, -30, 55, 0, -9, -90, 42, 0, 0, -20, -53, 0, 30, 0, -118, -17, 15, 33, 0, -13, -55, -30, 0, 0, -66, 13, 50, 11, 0, 69, -36, -33, -45, 0, -10, 33, 12, 25, 0, 19, 0, 18, -27, 0, 0, 120, 26, 53, 0, 0, 59, 34, -11, 0, -36, 0, -120, -102, 0, 24, -26, 39, 40, 0, -50, -51, 0, -35, 0, -80, -9, -25, -15, 0, 69, -17, -39, 0, 0, 28, -116, 38, -2, 0, 54, 50, 52, 43, 0, -75, -81, 0, -67, 0, 11, 83, 159, -4, 0, 0, 35, 20, 40, 0, 94, -90, -1, 5, 0, -9, 0, 45, 12, 0, -42, -10, -28, -30, 0, -135, -195, 0, 12, 0, -11, 99, 45, 30, 0, 46, -25, 70, 0, 0, -71, 18, 43, 13, 0, -28, -66, 45, 9, 0, 174, -23, -130, -84, 0, -50, 75, -8, 0, 0, 0, -9, -3, 18, 0, 60, -43, 18, 115, 0, -106, 0, -79, 8, 0, 13, 44, -75, -47, 0, -36, 9, 0, 73, 0, -86, 88, 60, 48, 0, -9, 24, 119, 0, 0, -81, -15, -35, -90, 0, -15, -12, -12, 70, 0, 12, 90, 53, -67, 0, 69, 9, 107, -42, 0, 0, -16, 41, 62, 0, 24, 38, -50, -6, 0, -41, 0, 72, 120, 0, 24, 24, -39, 63, 0, 0, 44, 0, 6, 0, -66, 10, 74, -2, 0, -27, 3, 4, 0, 0, 86, -15, 22, -5, 0, -50, 12, -25, 0, 0, -10, -92, 46, 3, 0, 2, -36, -60, -27, 0, 0, -3, -15, 53, 0, -106, 159, 51, -55, 0, -14, 0, 77, -15, 0, -17, -33, -5, 143, 0, 104, -96, 0, 126, 0, -9, -11, 24, -110, 0, -156, -30, 12, 0, 0, -80, -31, -75, -15, 0, 12, 39, 42, 20, 0, 30, 35, 40, -150, 0, -61, -72, 16, 66, 0, 0, -31, -22, 24, 0, 44, 20, 92, -15, 0, -99, 0, 23, -140, 0, -54, -57, 75, -18, 0, 45, -9, 0, 50, 0, 69, 9, -79, -37, 0, 0, -147, -87, 0, 0, 14, -18, 69, 0, 0, 14, -22, -10, 60, 0, -3, -6, 12, 13, 0, -66, -25, -54, 15, 0, 0, -87, 4, 3, 0, -23, 9, -33, -39, 0, 119, 0, 165, 30, 0, 35, 114, 1, -57, 0, 8, 18, 0, -20, 0, 0, 100, -9, -30, 0, 79, 40, 20, 0, 0, -19, 104, 90, -46, 0, 94, -13, -8, -7, 0, -37, -72, -15, -34, 0, 46, -10, 15, -51, 0, 0, -48, 60, -90, 0, 18, -137, 6, 80, 0, 33, 0, 51, 21, 0, 0, 0, -88, -90, 0, -5, -51, 0, -152, 0, 81, -10, -108, -25, 0, 29, -12, -90, 0, 0, -16, 23, 4, -2, 0, -60, 64, 10, -22, 0, 24, 6, -60, 135, 0, 14, 173, 30, -70, 0, 0, 115, 87, 35, 0, 55, -3, -10, -120, 0, 14, 0, -21, 63, 0, -33, 14, -100, 6, 0, -30, -3, 0, -17, 0, 84, -41, -27, 27, 0, 41, -17, 117, 0, 0, 9, 10, -7, 90, 0, -32, 63, -34, -119, 0, -1, -116, 65, 15, 0, 74, 22, 40, 23, 0, 0, 64, -9, 10, 0, -39, 39, -60, 24, 0, 120, 0, 24, -30, 0, -46, 33, -30, 165, 0, -18, -57, 0, -42, 0, 54, -10, -23, 81, 0, 10, 89, -45, 0, 0, 63, 78, -118, 60, 0, 119, -47, -60, -45, 0, -16, -1, 41, 83, 0, 42, 30, -5, -6, 0, 0, -21, 0, -60, 0, 54, -45, 14, -32, 0, 16, 0, -1, 45, 0, 81, -11, 60, -60, 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, -1], [-1, 0], [-1, 1], [0, 0], [0, 1], [-3, 0], [-1, 2], [1, 0], [0, 0], [0, 0], [1, -1], [-3, 3], [0, 3], [0, 0], [0, -3], [-1, -4], [0, -1], [-6, 2], [0, 0], [3, 0], [0, 0], [-6, -1], [1, -2], [0, 0], [-3, 0], [-1, 0], [3, -3], [2, 1], [0, 0], [-4, -3], [5, -1], [0, 0], [4, 5], [0, 0], [-1, 1], [-4, -3], [-2, 4], [3, -3], [0, 0], [3, -2], [0, -3], [-5, 2], [0, 0], [0, 0], [1, 7], [-11, 1], [0, 3], [2, 0], [0, 0], [1, 4], [6, -3], [-6, 4], [0, 1], [0, 0], [3, -6], [6, -2], [-1, -3], [-9, 3], [0, 0], [-9, 2], [3, 7], [-3, 0], [1, 2], [0, 0], [0, 0], [-1, 6], [-3, -1], [6, 1], [0, 0], [-5, 4], [-1, 2], [2, 3], [3, 7], [0, 0], [8, -6], [0, 0], [3, 0], [7, -9], [0, 0], [1, 0], [2, -1], [-12, 1], [-3, 3], [0, 0], [-2, 3], [-2, -1], [0, 0], [-12, 9], [0, 0], [9, -9], [5, -6], [4, 3], [-1, 10], [0, 0], [-5, 1], [-9, 12], [0, -2], [0, 0], [0, 0]], 'ap': [[0, -1], [-1, 0], [0, 0], [-3, 0], [0, 0], [-3, 3], [-1, -4], [-6, 2], [-6, -1], [2, 1], [-4, -3], [-4, -3], [3, -2], [-5, 2], [-11, 1], [-6, 4], [-9, 3], [-9, 2], [-1, 6], [-5, 4], [2, 3], [7, -9], [-12, 1], [-12, 9], [-9, 12], [7, -5], [1, -10], [3, -12], [15, 0], [-2, -4], [-5, -1], [-4, 7], [5, -11], [1, 3], [0, 10], [7, -10], [0, -11], [-9, -5], [8, 8], [-1, 4], [9, -18], [5, -11], [-15, 19], [-12, -4], [0, -6], [-18, 6], [-3, 10], [3, 6], [0, 9], [-10, 0], [-5, 7], [2, -14], [3, 3], [-6, -9], [11, -13], [-18, 18], [-7, 4], [2, -15], [10, -21], [8, -7], [-19, -5], [0, 12], [10, -16], [-25, 4], [-21, -6], [7, -10], [3, -12], [14, 6], [1, 7], [16, 8], [-17, 16], [-19, 23], [-20, 24], [2, -12], [14, -23], [28, -4], [-10, -5], [5, 9], [17, -10], [19, -18], [6, 8], [17, -15], [21, -3], [11, 10], [22, -9], [0, 17], [8, 4], [-30, 4], [7, -10], [19, -6], [26, -13], [-25, 20], [-23, 15], [-9, -3], [-27, 24], [18, -9], [3, -11], [15, -36], [-21, -11], [14, -24], [-31, 6], [-18, 30], [-21, 24], [22, -4], [33, -12], [-17, 23], [11, -28], [2, -17], [28, 4], [-31, 1], [-24, -3], [9, -21], [-22, 8], [35, -20], [-33, -10], [-11, 31], [-22, 1], [-31, 11], [-8, 8], [-2, -26], [-3, 0], [-5, 17], [14, -4], [3, 6], [-15, -6], [11, 2], [-3, -4], [-39, 8], [3, -2], [-21, 9], [20, 15], [21, 10], [-11, -4], [18, 13], [-26, 16], [-29, 3], [-1, 14], [24, 1], [-12, 33], [-1, 2], [-10, -6], [3, 33], [3, -4], [13, -37], [-14, -7], [7, 11], [10, 27], [2, 5], [12, -9], [33, 1], [-49, 12], [-18, -10], [27, -27], [2, 10], [15, 24], [33, 13], [11, 3], [-48, -4], [-17, -12], [-3, 0], [-49, 17], [-9, 40], [-32, 23], [-2, 38], [12, 15], [30, -18], [-8, -25], [-5, -6], [-18, 6], [6, -15], [-15, 10], [-12, 3], [-16, 11], [-3, 28], [-27, 24], [-31, 17], [-19, 22], [-17, -2], [-14, -15], [31, -12], [-9, 27], [-26, 11], [-1, 24], [-24, 12], [48, 6], [-11, -23], [4, -19], [-4, 30], [-32, 9], [32, -5], [18, 26], [18, -24], [38, -47], [-1, 26], [-27, 28], [31, 10], [5, 4], [35, -18], [-38, -5], [27, -17], [-23, 16], [17, 0], [11, -18], [-3, -14], [23, -31], [34, -14], [-24, 33], [11, 25], [-49, 28], [-42, 18], [-12, 18], [-23, -5], [-4, 15], [33, -32], [-17, 14], [-16, 36], [-44, -3], [39, 6], [-14, 17], [-20, 2], [57, 10], [-39, -17], [39, -33], [-17, -4], [5, -1], [17, -9], [-20, 2], [4, 2], [-1, 6], [-43, 20], [-21, 4], [16, -27], [-33, 0], [12, -30], [-11, -36], [4, -29], [5, 0], [18, -24], [-3, -19], [19, 16], [-2, 1], [-55, 4], [-13, 18], [-58, 31], [34, -41], [19, -23], [-37, -2], [14, -49], [-36, -18], [30, -33], [-17, 18], [-48, 15], [13, -32], [42, 1], [49, -26], [-25, -10], [7, 30], [-22, -27], [-18, -20], [40, -36], [-22, 36], [-34, 2], [-6, 12], [-1, 9], [-32, -7], [-1, 42], [33, -36], [-19, 32], [-33, 68], [-26, 19], [5, -11], [-21, 11], [39, 24], [-56, 12], [-48, 30], [-23, -7], [-18, 0], [29, -38], [8, -47], [7, 10], [30, 2], [-51, -14], [-17, -32], [-12, 33], [-24, 27], [12, -30], [5, -38], [-29, 22], [-5, 30], [-60, 0], [-60, 24], [-1, -29], [31, -20], [21, 2], [23, 1], [18, -36], [24, -14], [-63, -12], [-51, 47], [-38, 15], [49, -31], [39, -69], [9, -33], [-44, 40], [37, 15], [-15, 19], [-20, 34], [-7, 24], [13, 4], [3, -14], [-10, 47], [-10, -35], [5, 19], [10, 2], [24, -24], [-21, 12], [12, 36], [-45, 24], [-24, 35], [45, 25], [-21, -4], [-24, 17], [-42, -2], [21, 15], [15, -18], [2, 30], [-53, 21], [9, -36], [6, 22], [15, -58], [24, -9], [23, -47], [-51, 2], [73, -29], [64, -39], [-35, 14], [-39, 23], [-4, -10], [1, 42], [36, -28], [33, -24], [-31, 11], [50, -10], [0, -6], [-69, -15], [-27, 4], [26, -38], [62, -30], [0, -16], [31, -68], [22, -60], [23, -12], [-17, 8], [54, -36], [6, 43], [8, 26], [16, -2], [-32, -2], [-45, 54], [37, -62], [16, 27], [0, -36], [9, -44], [-38, 61], [-50, -16], [39, -26], [-49, 17], [-41, 54], [-43, 15], [82, 10], [-3, 6], [6, -15], [39, 37], [-34, -38], [13, 18], [-32, -26], [37, -5], [47, 13], [53, 14], [49, -54], [-35, 4], [25, -28], [3, -42], [85, -11], [-13, -29], [60, -43], [46, 12], [1, -13], [33, -54], [-24, 17], [-45, 75], [20, 2], [-73, -4], [-15, -1], [17, 10], [61, -30], [-67, -6], [29, -8], [57, -45], [8, -2], [27, 6], [30, -48], [-3, 15], [62, -10], [-19, 8], [17, 45], [67, -30], [36, 22], [-29, 50], [-58, 26], [-26, -36], [-24, -3], [-52, -4], [-8, 0], [40, -16], [21, -18], [-41, -38], [26, -38], [-36, 31], [63, -9], [36, 18], [-65, 14], [3, 58], [-18, 6], [-31, 39], [51, -13], [-73, 28], [0, -45], [-7, -2], [-24, -12]], 'char_orbit_index': 1, 'field_poly': [-1, -1, 1], 'hecke_orbit_code': 108086391090455411, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '9075.2.a.y', 'level': 9075, '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': [36, 45, 46, 45, 48, 35, 38, 52], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [17, 18, 18, 18, 18, 18, 18, 18], 'ALdims_old': [115, 117, 116, 105, 114, 115, 112, 110], 'Nk2': 36300, 'analytic_conductor': 72.46423983431195, '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': [9075, 1, [3026, 727, 5326], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1249, 'dim': 345, 'eis_dim': 143, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 13, 17, 19, 23, 37], 'hecke_orbit_code': 33563507, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6, 6, 8, 8, 8, 8, 12, 12, 12, 12], 'label': '9075.2.a', 'level': 9075, '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': [3, 5, 11], 'level_radical': 165, 'mf_dim': 1392, 'mf_new_dim': 345, 'num_forms': 105, 'plus_dim': 154, 'prim_orbit_index': 1, 'relative_dim': 345, 'sturm_bound': 2640, 'trace_bound': 23, 'trace_display': [-3, 1, 0, 4], 'traces': [345, -3, 1, 341, 0, -1, 4, -15, 345, 0, 0, 7, -2, 0, 0, 345, -10, -3, 14, 0, 10, 0, -4, -9, 0, 42, 1, 4, -6, 0, -10, -23, 0, -10, 0, 341, 2, -4, 16, 0, 26, -16, 0, 0, 0, -16, -8, -1, 363, 0, 6, -54, -30, -1, 0, -12, 16, 6, 4, 0, 8, 32, 4, 341, 0, 0, 24, 50, -8, 0, 12, -15, -14, -22, 0, 44, 0, -6, 4, 0, 345, 14, 28, 24, 0, 4, 2, 0, -26, 0, 70, 8, 44, 64, 0, -9, 38, 77, 0, 0, 38, -18, 44, 158, 0, 34, 20, 7, 60, 0, 58, 12, -38, 28, 0, 2, -2, 4, -12, 0, 0, -30, -26, 32, 0, 0, -52, -7, 38, 0, -84, 0, 0, 24, 0, 130, -170, -16, -8, 0, -32, -24, 0, 345, 0, -38, 37, 26, 10, 0, -54, -8, -10, 0, 0, 58, -82, -4, -58, 0, -20, -3, 44, 78, 0, 104, 0, 4, 413, 0, 14, 40, -62, 30, 0, 0, 20, 10, -76, 0, 92, -16, 6, 24, 0, -4, 0, -28, 10, 0, -160, 39, 34, 130, 0, 453, -38, 0, -50, 0, 62, -18, 0, 62, 0, 176, -4, -62, 0, 0, -26, 250, -16, 280, 0, -9, -32, 110, 10, 0, -52, 38, 20, 352, 0, 78, 28, 80, 48, 0, 0, 254, -10, 42, 0, 136, -4, 32, -88, 0, 72, 0, 1, -38, 0, -6, 80, 48, 16, 0, 4, 4, 0, 96, 0, 185, -54, -20, -12, 0, -6, -36, 48, 0, 0, -76, 14, 140, 98, 0, -52, 90, 116, 14, 0, 68, 6, -24, -10, 0, -90, 0, 64, 252, 0, 0, -4, -23, 355, 0, 28, 38, -30, -13, 0, -166, 0, 66, -132, 0, 94, 160, -38, 264, 0, -10, 16, 0, 72, 0, -8, 46, 54, -50, 0, -84, -70, -34, 0, 0, 4, 204, 108, 341, 0, 24, -50, 130, -68, 0, -64, -100, 2, -92, 0, 132, 10, -125, -38, 0, 0, -4, -136, -8, 0, -254, -28, 14, 70, 0, 16, 0, 62, -132, 0, -146, -12, -84, -120, 0, 219, -26, 0, 168, 0, -10, 124, 148, 26, 0, -24, 112, -50, 0, 0, 104, -128, -16, 150, 0, 60, 8, -68, 23, 0, -154, 0, 274, 46, 0, -16, 1, 68, 146, 0, 0, -10, 128, 170, 0, 138, 20, 0, 146, 0, -128, 0, -42, 168, 0, 78, 144, 64, -16, 0, 274, 72, 0, 64, 0, 158, 224, -8, -38, 0, -144, 140, 164, 0, 0, -28, -1, 50, 32, 0, 154, 160, 142, -10, 0, 363, 76, 44, 174, 0, -156, -62, 68, 178, 0, 0, 130, -44, -360, 0, -164, 18, 78, 6, 0, -2, 0, 108, 122, 0, 34, 88, -54, 42, 0, 0, -44, 0, -184, 0, -212, -30, 24, -164, 0, 192, -2, -112, 0, 0, -1, -16, -258, 86, 0, -44, -54, -256, -348, 0, -360, -48, 44, -106, 0, -32, -20, -48, -12, 0, 0, 119, -52, -218, 0, -136, 49, 16, -170, 0, 36, 0, 252, 58, 0, -142, 6, -32, -252, 0, -596, -80, 0, 361, 0, 4, 128, -324, -98, 0, 28, -24, -170, 0, 0, 60, 72, -10, -102, 0, -132, 8, -658, 8, 0, -4, 32, 12, 130, 0, -112, 10, 32, 90, 0, 0, -138, 52, -280, 0, -224, 4, 40, 38, 0, 230, 0, -36, -224, 0, 341, -266, -49, 104, 0, -40, 2, 0, -414, 0, -482, -224, 167, -10, 0, -142, 202, 78, 0, 0, -238, 92, -220, -48, 0, 28, 8, 24, -360, 0, -42, -20, -168, -92, 0, -164, 50, 94, -60, 0, 0, -318, -80, -38, 0, -8, 128, -56, -10, 0, -254, 0, -358, 228, 0, -162, 252, -16, -30, 0, -514, 142, 0, 12, 0, 214, 36, 60, -88, 0, -32, -136, -15, 0, 0, 142, -8, -250, -102, 0, 382, -14, 96, 76, 0, 190, -108, -16, 108, 0, -22, -128, -120, -42, 0, 0, -28, -30, 498, 0, 215, 58, -14, 162, 0, -20, 0, 32, 44, 0, -16, 158, -16, 204, 0, 64, 38, 0, -28, 0, 150, -116, -54, 26, 0, 114, -6, -176, 0, 0, 110, -316, -40, -296, 0, 4, 130, -232, 144, 0, 20, -40, 304, 0, 0, -56, -103, 90, 434, 0, 0, -252, 160, 345, 0, -172, 58, -66, -36, 0, 232, 0, 14, 0, 0, 158, -136, 168, -120, 0, 302, 28, 0, 44, 0, -236, -12, 48, -4, 0, 24, -270, 172, 0, 0, 170, -352, 280, -184, 0, -248, -24, 207, -76, 0, -42, 150, -302, 4, 0, 430, -24, 6, 212, 0, 0, -36, 2, 853, 0, -84, 72, 78, -32, 0, 200, 0, 132, 158, 0, -368, -122, -112, -176, 0, -26, 58, 0, 400, 0, -288, -178, -286, 130, 0, 230, 384, -92, 0, 0, 102, 200, 26, 70, 0, -142, -6, 172, 16, 0, -20, 116, 8, 218, 0, 16, -118, -266, -224, 0, 0, 44, 92, 280, 0, 435, -10, 38, 52, 0, 64, 0, 506, 10, 0, 636, -36, 14, 380, 0, 476, -98, 0, 312, 0, -36, 88, 320, -9, 0, 138, 27, -96, 0, 0, -102, 494, 38, -460, 0, 186, -10, -268, -174, 0, -206, 77, 372, -116, 0, -12, 104, 94, -132, 0, 0, 100, 64, -26, 0, 716, 48, -14, 36, 0, 140, 0, 44, 118, 0, 4, 100, 44, 38, 0, 464, 32, 0, 274, 0, -10, -224, -18, 138, 0, -38, -334, 224, 0, 0, -280, 44, 446, 370, 0, 244, -30, 140, 284, 0, 158, -22, -728, 248, 0, 42, 78, 64, -876, 0, 0, 360, -124, 348, 0, -202, -128, -98, 34, 0, -872, 0, -792, -420, 0, 451, -52, 20, -346, 0, -120, 52, 0, -168, 0, 416, 7, 96, -68, 0, -314, 74, -84, 0, 0, 60, -396, 88, -46, 0, 20, -64, 312, 92, 0, 246, -64, 12, -700, 0, 252, 62, -132, 58, 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: 1417069
    {'conductor': 55, 'degree': 4, 'multiplicity': 2, 'order': 10, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '9075.2.a.y', 'source_level': 9075, 'target_char_orbit': 14, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '825.2.n.a', 'target_level': 825, 'twist_class_label': '825.2.n.a', 'twist_class_level': 825, 'twisting_char_label': '55.j', 'twisting_char_orbit': 10, 'weight': 2}
  • id: 1417070
    {'conductor': 11, 'degree': 4, 'multiplicity': 2, 'order': 5, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '9075.2.a.y', 'source_level': 9075, 'target_char_orbit': 14, 'target_dim': 4, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '825.2.n.e', 'target_level': 825, 'twist_class_label': '825.2.n.a', 'twist_class_level': 825, 'twisting_char_label': '11.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1417071
    {'conductor': 55, 'degree': 8, 'multiplicity': 4, 'order': 20, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '9075.2.a.y', 'source_level': 9075, 'target_char_orbit': 50, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '825.2.bx.a', 'target_level': 825, 'twist_class_label': '825.2.n.a', 'twist_class_level': 825, 'twisting_char_label': '55.k', 'twisting_char_orbit': 11, 'weight': 2}
  • id: 1417072
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '9075.2.a.y', 'source_level': 9075, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 25, 'target_is_minimal': False, 'target_label': '9075.2.a.y', 'target_level': 9075, 'twist_class_label': '825.2.n.a', 'twist_class_level': 825, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1417073
    {'conductor': 55, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '9075.2.a.y', 'source_level': 9075, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 28, 'target_is_minimal': False, 'target_label': '9075.2.a.bb', 'target_level': 9075, 'twist_class_label': '825.2.n.a', 'twist_class_level': 825, 'twisting_char_label': '55.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1417074
    {'conductor': 11, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '9075.2.a.y', 'source_level': 9075, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 47, 'target_is_minimal': False, 'target_label': '9075.2.a.bu', 'target_level': 9075, 'twist_class_label': '825.2.n.a', 'twist_class_level': 825, 'twisting_char_label': '11.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1417075
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '9075.2.a.y', 'source_level': 9075, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 52, 'target_is_minimal': False, 'target_label': '9075.2.a.bz', 'target_level': 9075, 'twist_class_label': '825.2.n.a', 'twist_class_level': 825, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4927575
    {'charpoly_factorization': [[[-1, 1, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 2}
  • id: 4927576
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 108086391090455411, 'p': 3}
  • id: 4927577
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 108086391090455411, 'p': 5}
  • id: 4927578
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 108086391090455411, 'p': 7}
  • id: 4927579
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 108086391090455411, 'p': 11}
  • id: 4927580
    {'charpoly_factorization': [[[-9, 3, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 13}
  • id: 4927581
    {'charpoly_factorization': [[[-11, 6, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 17}
  • id: 4927582
    {'charpoly_factorization': [[[20, 10, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 19}
  • id: 4927583
    {'charpoly_factorization': [[[41, 13, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 23}
  • id: 4927584
    {'charpoly_factorization': [[[5, -5, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 29}
  • id: 4927585
    {'charpoly_factorization': [[[19, 11, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 31}
  • id: 4927586
    {'charpoly_factorization': [[[19, 11, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 37}
  • id: 4927587
    {'charpoly_factorization': [[[-1, -4, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 41}
  • id: 4927588
    {'charpoly_factorization': [[[11, 8, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 43}
  • id: 4927589
    {'charpoly_factorization': [[[109, 21, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 47}
  • id: 4927590
    {'charpoly_factorization': [[[-4, 8, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 53}
  • id: 4927591
    {'charpoly_factorization': [[[45, 15, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 59}
  • id: 4927592
    {'charpoly_factorization': [[[59, 16, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 61}
  • id: 4927593
    {'charpoly_factorization': [[[-41, -4, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 67}
  • id: 4927594
    {'charpoly_factorization': [[[-11, 6, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 71}
  • id: 4927595
    {'charpoly_factorization': [[[1, -7, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 73}
  • id: 4927596
    {'charpoly_factorization': [[[-95, -5, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 79}
  • id: 4927597
    {'charpoly_factorization': [[[131, 23, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 83}
  • id: 4927598
    {'charpoly_factorization': [[[-45, 15, 1], 1]], 'hecke_orbit_code': 108086391090455411, 'p': 89}
  • id: 4927599
    {'charpoly_factorization': [[[-171, 6, 1], 1]], 'hecke_orbit_code': 108086391090455411, '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': 25, 'label': '9075.2.a.y', 'level': 9075, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 66608095
    {'hecke_orbit_code': 108086391090455411, 'n': 1, 'trace_an': 2}
  • id: 66608096
    {'hecke_orbit_code': 108086391090455411, 'n': 2, 'trace_an': -1}
  • id: 66608097
    {'hecke_orbit_code': 108086391090455411, 'n': 3, 'trace_an': -2}
  • id: 66608098
    {'hecke_orbit_code': 108086391090455411, 'n': 4, 'trace_an': -1}
  • id: 66608099
    {'hecke_orbit_code': 108086391090455411, 'n': 5, 'trace_an': 0}
  • id: 66608100
    {'hecke_orbit_code': 108086391090455411, 'n': 6, 'trace_an': 1}
  • id: 66608101
    {'hecke_orbit_code': 108086391090455411, 'n': 7, 'trace_an': -6}
  • id: 66608102
    {'hecke_orbit_code': 108086391090455411, 'n': 8, 'trace_an': 0}
  • id: 66608103
    {'hecke_orbit_code': 108086391090455411, 'n': 9, 'trace_an': 2}
  • id: 66608104
    {'hecke_orbit_code': 108086391090455411, 'n': 10, 'trace_an': 0}
  • id: 66608105
    {'hecke_orbit_code': 108086391090455411, 'n': 11, 'trace_an': 0}
  • id: 66608106
    {'hecke_orbit_code': 108086391090455411, 'n': 12, 'trace_an': 1}
  • id: 66608107
    {'hecke_orbit_code': 108086391090455411, 'n': 13, 'trace_an': -3}
  • id: 66608108
    {'hecke_orbit_code': 108086391090455411, 'n': 14, 'trace_an': 3}
  • id: 66608109
    {'hecke_orbit_code': 108086391090455411, 'n': 15, 'trace_an': 0}
  • id: 66608110
    {'hecke_orbit_code': 108086391090455411, 'n': 16, 'trace_an': -3}
  • id: 66608111
    {'hecke_orbit_code': 108086391090455411, 'n': 17, 'trace_an': -6}
  • id: 66608112
    {'hecke_orbit_code': 108086391090455411, 'n': 18, 'trace_an': -1}
  • id: 66608113
    {'hecke_orbit_code': 108086391090455411, 'n': 19, 'trace_an': -10}
  • id: 66608114
    {'hecke_orbit_code': 108086391090455411, 'n': 20, 'trace_an': 0}
  • id: 66608115
    {'hecke_orbit_code': 108086391090455411, 'n': 21, 'trace_an': 6}
  • id: 66608116
    {'hecke_orbit_code': 108086391090455411, 'n': 22, 'trace_an': 0}
  • id: 66608117
    {'hecke_orbit_code': 108086391090455411, 'n': 23, 'trace_an': -13}
  • id: 66608118
    {'hecke_orbit_code': 108086391090455411, 'n': 24, 'trace_an': 0}
  • id: 66608119
    {'hecke_orbit_code': 108086391090455411, 'n': 25, 'trace_an': 0}
  • id: 66608120
    {'hecke_orbit_code': 108086391090455411, 'n': 26, 'trace_an': -6}
  • id: 66608121
    {'hecke_orbit_code': 108086391090455411, 'n': 27, 'trace_an': -2}
  • id: 66608122
    {'hecke_orbit_code': 108086391090455411, 'n': 28, 'trace_an': 3}
  • id: 66608123
    {'hecke_orbit_code': 108086391090455411, 'n': 29, 'trace_an': 5}
  • id: 66608124
    {'hecke_orbit_code': 108086391090455411, 'n': 30, 'trace_an': 0}
  • id: 66608125
    {'hecke_orbit_code': 108086391090455411, 'n': 31, 'trace_an': -11}
  • id: 66608126
    {'hecke_orbit_code': 108086391090455411, 'n': 32, 'trace_an': 9}
  • id: 66608127
    {'hecke_orbit_code': 108086391090455411, 'n': 33, 'trace_an': 0}
  • id: 66608128
    {'hecke_orbit_code': 108086391090455411, 'n': 34, 'trace_an': 13}
  • id: 66608129
    {'hecke_orbit_code': 108086391090455411, 'n': 35, 'trace_an': 0}
  • id: 66608130
    {'hecke_orbit_code': 108086391090455411, 'n': 36, 'trace_an': -1}
  • id: 66608131
    {'hecke_orbit_code': 108086391090455411, 'n': 37, 'trace_an': -11}
  • id: 66608132
    {'hecke_orbit_code': 108086391090455411, 'n': 38, 'trace_an': 0}
  • id: 66608133
    {'hecke_orbit_code': 108086391090455411, 'n': 39, 'trace_an': 3}
  • id: 66608134
    {'hecke_orbit_code': 108086391090455411, 'n': 40, 'trace_an': 0}
  • id: 66608135
    {'hecke_orbit_code': 108086391090455411, 'n': 41, 'trace_an': 4}
  • id: 66608136
    {'hecke_orbit_code': 108086391090455411, 'n': 42, 'trace_an': -3}
  • id: 66608137
    {'hecke_orbit_code': 108086391090455411, 'n': 43, 'trace_an': -8}
  • id: 66608138
    {'hecke_orbit_code': 108086391090455411, 'n': 44, 'trace_an': 0}
  • id: 66608139
    {'hecke_orbit_code': 108086391090455411, 'n': 45, 'trace_an': 0}
  • id: 66608140
    {'hecke_orbit_code': 108086391090455411, 'n': 46, 'trace_an': 9}
  • id: 66608141
    {'hecke_orbit_code': 108086391090455411, 'n': 47, 'trace_an': -21}
  • id: 66608142
    {'hecke_orbit_code': 108086391090455411, 'n': 48, 'trace_an': 3}
  • id: 66608143
    {'hecke_orbit_code': 108086391090455411, 'n': 49, 'trace_an': 4}
  • id: 66608144
    {'hecke_orbit_code': 108086391090455411, 'n': 50, 'trace_an': 0}
  • id: 66608145
    {'hecke_orbit_code': 108086391090455411, 'n': 51, 'trace_an': 6}
  • id: 66608146
    {'hecke_orbit_code': 108086391090455411, 'n': 52, 'trace_an': 9}
  • id: 66608147
    {'hecke_orbit_code': 108086391090455411, 'n': 53, 'trace_an': -8}
  • id: 66608148
    {'hecke_orbit_code': 108086391090455411, 'n': 54, 'trace_an': 1}
  • id: 66608149
    {'hecke_orbit_code': 108086391090455411, 'n': 55, 'trace_an': 0}
  • id: 66608150
    {'hecke_orbit_code': 108086391090455411, 'n': 56, 'trace_an': 0}
  • id: 66608151
    {'hecke_orbit_code': 108086391090455411, 'n': 57, 'trace_an': 10}
  • id: 66608152
    {'hecke_orbit_code': 108086391090455411, 'n': 58, 'trace_an': -5}
  • id: 66608153
    {'hecke_orbit_code': 108086391090455411, 'n': 59, 'trace_an': -15}
  • id: 66608154
    {'hecke_orbit_code': 108086391090455411, 'n': 60, 'trace_an': 0}
  • id: 66608155
    {'hecke_orbit_code': 108086391090455411, 'n': 61, 'trace_an': -16}
  • id: 66608156
    {'hecke_orbit_code': 108086391090455411, 'n': 62, 'trace_an': 13}
  • id: 66608157
    {'hecke_orbit_code': 108086391090455411, 'n': 63, 'trace_an': -6}
  • id: 66608158
    {'hecke_orbit_code': 108086391090455411, 'n': 64, 'trace_an': 4}
  • id: 66608159
    {'hecke_orbit_code': 108086391090455411, 'n': 65, 'trace_an': 0}
  • id: 66608160
    {'hecke_orbit_code': 108086391090455411, 'n': 66, 'trace_an': 0}
  • id: 66608161
    {'hecke_orbit_code': 108086391090455411, 'n': 67, 'trace_an': 4}
  • id: 66608162
    {'hecke_orbit_code': 108086391090455411, 'n': 68, 'trace_an': -7}
  • id: 66608163
    {'hecke_orbit_code': 108086391090455411, 'n': 69, 'trace_an': 13}
  • id: 66608164
    {'hecke_orbit_code': 108086391090455411, 'n': 70, 'trace_an': 0}
  • id: 66608165
    {'hecke_orbit_code': 108086391090455411, 'n': 71, 'trace_an': -6}
  • id: 66608166
    {'hecke_orbit_code': 108086391090455411, 'n': 72, 'trace_an': 0}
  • id: 66608167
    {'hecke_orbit_code': 108086391090455411, 'n': 73, 'trace_an': 7}
  • id: 66608168
    {'hecke_orbit_code': 108086391090455411, 'n': 74, 'trace_an': 13}
  • id: 66608169
    {'hecke_orbit_code': 108086391090455411, 'n': 75, 'trace_an': 0}
  • id: 66608170
    {'hecke_orbit_code': 108086391090455411, 'n': 76, 'trace_an': 10}
  • id: 66608171
    {'hecke_orbit_code': 108086391090455411, 'n': 77, 'trace_an': 0}
  • id: 66608172
    {'hecke_orbit_code': 108086391090455411, 'n': 78, 'trace_an': 6}
  • id: 66608173
    {'hecke_orbit_code': 108086391090455411, 'n': 79, 'trace_an': 5}
  • id: 66608174
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  • id: 66608175
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  • id: 66608176
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  • id: 66608177
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  • id: 66608178
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  • id: 66608179
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  • id: 66608180
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  • id: 66608181
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  • id: 66608182
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  • id: 66608183
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  • id: 66608184
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  • id: 66608185
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  • id: 66608186
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  • id: 66608187
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  • id: 66608188
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  • id: 66608189
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  • id: 66608190
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  • id: 66608191
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  • id: 66608192
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  • id: 66608193
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  • id: 66608194
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  • id: 66608195
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  • id: 66608196
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  • id: 66608197
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  • id: 66608198
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  • id: 66608199
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  • id: 66608200
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  • id: 66608201
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  • id: 66608202
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  • id: 66608203
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  • id: 66608204
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  • id: 66608205
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  • id: 66608206
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  • id: 66608207
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  • id: 66608208
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  • id: 66608209
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  • id: 66608210
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  • id: 66608211
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  • id: 66608212
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  • id: 66608213
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  • id: 66608214
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  • id: 66608215
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  • id: 66608216
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  • id: 66608217
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  • id: 66608218
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  • id: 66608219
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  • id: 66608220
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  • id: 66608221
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  • id: 66608222
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  • id: 66608223
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  • id: 66608224
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  • id: 66608225
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  • id: 66608226
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  • id: 66608227
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  • id: 66608228
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  • id: 66608229
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  • id: 66608230
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  • id: 66608231
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  • id: 66608232
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  • id: 66608233
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  • id: 66608234
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  • id: 66608235
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  • id: 66608236
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  • id: 66608237
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  • id: 66608238
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  • id: 66608239
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  • id: 66608240
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  • id: 66608241
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  • id: 66608242
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  • id: 66608243
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  • id: 66608244
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  • id: 66608245
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  • id: 66608246
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  • id: 66608247
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  • id: 66608248
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  • id: 66608249
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  • id: 66608250
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  • id: 66608251
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  • id: 66608252
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  • id: 66608253
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  • id: 66608254
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  • id: 66608255
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  • id: 66608256
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  • id: 66608257
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  • id: 66608258
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  • id: 66608259
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  • id: 66608260
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  • id: 66608261
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  • id: 66608262
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  • id: 66608263
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  • id: 66608264
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  • id: 66608265
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  • id: 66608266
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  • id: 66608267
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  • id: 66608268
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  • id: 66608269
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  • id: 66608270
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  • id: 66608271
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  • id: 66608272
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  • id: 66608273
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  • id: 66608274
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  • id: 66608275
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  • id: 66608276
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  • id: 66608277
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  • id: 66608278
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  • id: 66608279
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  • id: 66608280
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  • id: 66608281
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  • id: 66608282
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  • id: 66608283
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  • id: 66608284
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  • id: 66608285
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  • id: 66608286
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  • id: 66608287
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  • id: 66608288
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  • id: 66608289
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  • id: 66608290
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  • id: 66608291
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  • id: 66608292
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  • id: 66608293
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  • id: 66608294
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  • id: 66608295
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  • id: 66608296
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  • id: 66608297
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  • id: 66608298
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  • id: 66608299
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  • id: 66608300
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  • id: 66608301
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  • id: 66608302
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  • id: 66608303
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  • id: 66608304
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  • id: 66608305
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  • id: 66608306
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  • id: 66608307
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  • id: 66608308
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  • id: 66608309
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  • id: 66608310
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  • id: 66608311
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  • id: 66608312
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  • id: 66608313
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  • id: 66608314
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  • id: 66608315
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  • id: 66608316
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  • id: 66608317
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  • id: 66608318
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  • id: 66608319
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  • id: 66608320
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  • id: 66608321
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  • id: 66608322
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  • id: 66608323
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  • id: 66608324
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  • id: 66608325
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  • id: 66608326
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  • id: 66608327
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  • id: 66608328
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  • id: 66608329
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  • id: 66608330
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  • id: 66608331
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  • id: 66608332
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  • id: 66608333
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  • id: 66608334
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  • id: 66608335
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  • id: 66608336
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  • id: 66608337
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  • id: 66608338
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  • id: 66608339
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  • id: 66608340
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  • id: 66608341
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  • id: 66608342
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  • id: 66608343
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  • id: 66608344
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  • id: 66608345
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  • id: 66608346
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  • id: 66608347
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  • id: 66608348
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  • id: 66608349
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  • id: 66608350
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  • id: 66608351
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  • id: 66608352
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