Newform data - 9747.2.a.v

Formats: - HTML - YAML - JSON - 2025-09-13T01:42:24.121340

• 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': 38988, 'analytic_conductor': 77.83018685014198, 'analytic_rank': 1, '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': [9747, 1, [6860, 2890], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 81, 'field_disc_factorization': [[3, 4]], 'field_poly': [-1, -3, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 18, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-3, 0, 3, 1]], [5, [3, 0, -3, 1]], [7, [19, 24, 9, 1]], [13, [-19, 24, -9, 1]]], 'hecke_orbit': 22, 'hecke_orbit_code': 94575592208344595, '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': '9747.2.a.v', 'level': 9747, 'level_is_powerful': True, '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, 19], 'level_radical': 57, 'minimal_twist': '513.2.y.a', 'nf_label': '3.3.81.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1+\\beta _{1})q^{2}+(1-2\\beta _{1}+\\beta _{2})q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9747.2.a', 'trace_display': [-3, 0, 3, -9], 'trace_hash': 2240719243371182704, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.849', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '21.313', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '228.885', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.026', 'prec': 17}, 'traces': [3, -3, 0, 3, 3, 0, -9, -6, 0, 0, 9, 0, 9, 12, 0, 3, 3, 0, 0, 3, 0, -18, -3, 0, -6, -12, 0, -18, -6, 0, 0, 0, 0, 9, -12, 0, 27, 0, 0, -18, -21, 0, -18, 18, 0, 9, 6, 0, 12, 15, 0, 9, -6, 0, 0, 33, 0, -9, -3, 0, -9, -3, 0, 12, 3, 0, 9, -33, 0, 9, -3, 0, -18, -21, 0, 0, -27, 0, 0, 12, 0, 18, 0, 0, -9, 3, 0, -9, -33, 0, -24, -12, 0, 9, 0, 0, 3, -36, 0, -15, 15, 0, 0, -6, 0, 0, -9, 0, 21, -9, 0, -27, -9, 0, 0, 21, 0, 0, 15, 0, 12, 3, 0, 27, -12, 0, 30, -3, 0, 0, 3, 0, 0, -3, 0, 54, -3, 0, -36, -21, 0, 27, 36, 0, -9, 12, 0, 9, -33, 0, -15, 0, 0, 63, 21, 0, 0, -48, 0, 9, 12, 0, 27, -21, 0, 18, -15, 0, -6, 36, 0, 0, -3, 0, 18, 9, 0, 63, -9, 0, 21, 39, 0, 9, 21, 0, 9, -3, 0, 0, 0, 0, 0, -21, 0, 75, -54, 0, -18, 3, 0, -9, 6, 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0, 72, -147, 0, 54, -228, 0, 39, 48, 0, 36, 33, 0, -90, -12, 0, 33, -45, 0, 90, 42, 0, 0, -195, 0, 36, -144, 0, 81, -21, 0, -144, 6, 0, 0, -144, 0, 27, 204, 0, -117, 129, 0, -63, 39, 0, -81, 84, 0, 45, 3, 0, -45, 0, 0, 201, -3, 0, -117, -126, 0, -27, 129, 0, 72, 39, 0, 45, -171, 0, -90, -75, 0, 162, 21, 0, -75, -36, 0, 117, -9, 0, -36, 75, 0, 216, 96, 0, -9, -39, 0, 0, 18, 0, -60, 189, 0, 9, 0, 0, -111, -24, 0, -72, 108, 0, -9, -15, 0, -18, 0, 0, 27, -159, 0, -18, 24, 0, -126, -144, 0, -36, 66, 0, 180, -261, 0, -90, 54, 0, 51, -75, 0, -18, -57, 0, 36, -90, 0, 126, -63, 0, 9, 21, 0, 18, 6, 0, 0, -111, 0, 57, -60, 0, -75, 156, 0, -18, 72, 0, -6, 120, 0, 54, 156, 0, 27, 0, 0, 18, -57, 0, -36, -6, 0, -27, -120, 0, 90, -60, 0, 108, 99, 0, -147, -57, 0, -54, -105, 0, 33, 63, 0, 72, 0, 0, -9, 0, 0, -135, -84, 0, 117, 66, 0, 0, -36, 0, -132, -186, 0, -78, -102, 0, 27, -63, 0, -18, -177, 0, 57, -18, 0, -315, 0, 0, -153, 81, 0, 36, -42, 0, -6, -72, 0, -288, -135, 0, 36, -36, 0, 126, 66, 0, -72, -72, 0, 180, 12, 0, 69, 291, 0, 171, -66, 0, -18, 63, 0, -81, 66, 0, 0, 57, 0, -108, -15, 0, 117, -30, 0, 42, 51, 0, 57, -174, 0, 54, 87, 0, -54, 0, 0, 36, -3, 0, 24, -111, 0, 162, -48, 0, -99, 195, 0, 243, -96, 0, -45, 51, 0, -234, -39, 0, -153, 87, 0, 81, -18, 0, -24, -204, 0, 0, 84, 0, -69, -126, 0, 0, 75, 0, 0, -144, 0, 54, 18, 0, -30, -54, 0, 306, -27, 0, -117, -186, 0, 9, 0, 0, 36, -39, 0, 90, 168, 0, 45, -36, 0, -144, -135, 0, 9, 12, 0, 90, -189, 0, 153, -75, 0, 63, -30, 0, -39, 3, 0, 72, 126, 0, 81, -90, 0, 18, 21, 0, 0, -63, 0, -36, 90, 0, 9, 21, 0, 189, -69, 0, -69, 126, 0, -114, 60, 0, -105, 0, 0, -72, -81, 0, -9, 24, 0, -33, -3, 0, -39, -33, 0, -54, 48, 0, -9, 120, 0, -189, 33, 0, -18, 45, 0, -54, 63, 0, -54, 15, 0, 144, -48, 0, -30, 132, 0, 0, -27, 0, -18, -45, 0, 78, 81, 0, 18, -75, 0, -27, -195, 0, 225, -165, 0, -27, 0, 0, -135, 27, 0, -9, 117, 0, -153, 327, 0, 72, 54, 0, -27, 84, 0, 144, -117, 0, 9, 93, 0, 144, -123, 0, 99, 159, 0, -99, -66, 0, -132, 66, 0, 0, -81, 0, 0, 3, 0, 225, 48, 0, 96, 18, 0, -315, 147, 0, -72, 279, 0, -189, -231, 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], [0, 0, 0], [1, -2, 1], [1, 0, 1], [0, 0, 0], [-3, 1, -1], [-2, 2, -3], [0, 0, 0], [0, 2, -1], [3, -1, -1], [0, 0, 0], [3, 0, -1], [4, -5, 2], [0, 0, 0], [1, -3, 3], [1, 4, -4], [0, 0, 0], [0, 0, 0], [1, -3, 1], [0, 0, 0], [-6, 3, 0], [-1, 1, 0], [0, 0, 0], [-2, 1, 1], [-4, 2, 1], [0, 0, 0], [-6, 9, -5], [-2, -3, 1], [0, 0, 0], [0, -3, 5], [0, 3, 0], [0, 0, 0], [3, -7, 8], [-4, 1, -3], [0, 0, 0], [9, 2, -2], [0, 0, 0], [0, 0, 0], [-6, 1, -2], [-7, 0, -1], [0, 0, 0], [-6, -2, -1], [6, -7, 5], [0, 0, 0], [3, -2, 1], [2, 1, 3], [0, 0, 0], [4, -7, 6], [5, -2, 0], [0, 0, 0], [3, -5, 3], [-2, -3, 4], [0, 0, 0], [0, -3, 3], [11, -10, 10], [0, 0, 0], [-3, 2, -4], [-1, 1, -3], [0, 0, 0], [-3, -3, 4], [-1, 8, -8], [0, 0, 0], [4, 3, -3], [1, -1, 3], [0, 0, 0], [3, 1, 0], [-11, 10, -7], [0, 0, 0], [3, -8, 4], [-1, 1, 6], [0, 0, 0], [-6, 1, -4], [-7, 5, 4], [0, 0, 0], [0, 0, 0], [-9, 7, -2], [0, 0, 0], [0, -7, -2], [4, -3, 1], [0, 0, 0], [6, -8, 1], [0, 3, 0], [0, 0, 0], [-3, 4, 1], [1, -5, -1], [0, 0, 0], [-3, 12, -12], [-11, 5, 0], [0, 0, 0], [-8, 3, -1], [-4, 4, -3], [0, 0, 0], [3, 4, -2], [0, 0, 0], [0, 0, 0], [1, -7, 8], [-12, 17, -13], [0, 0, 0], [-5, 5, -4]], 'ap': [[-1, 1, 0], [0, 0, 0], [1, 0, 1], [-3, 1, -1], [3, -1, -1], [3, 0, -1], [1, 4, -4], [0, 0, 0], [-1, 1, 0], [-2, -3, 1], [0, -3, 5], [9, 2, -2], [-7, 0, -1], [-6, -2, -1], [2, 1, 3], [-2, -3, 4], [-1, 1, -3], [-3, -3, 4], [3, 1, 0], [-1, 1, 6], [-6, 1, -4], [0, -7, -2], [0, 3, 0], [-11, 5, 0], [1, -7, 8], [5, -2, 6], [0, -3, -1], [-3, 6, 3], [7, -1, 5], [-3, -1, -4], [10, -4, 2], [1, 5, 6], [-1, -13, 4], [-12, 4, 5], [-11, -3, 4], [-5, 0, -3], [0, -9, 1], [9, 5, 0], [-5, -3, -8], [-1, 12, -7], [-3, 3, -6], [7, -1, -7], [0, -5, 4], [0, 9, -10], [-18, -5, 4], [-6, -12, 7], [3, -12, -1], [-9, 0, -7], [12, 15, -9], [-12, 0, 4], [-17, 5, -12], [6, -2, 4], [9, 1, 0], [11, -5, 3], [-14, -4, 3], [-5, -10, 6], [5, 0, 8], [-7, -2, 4], [-16, 6, 0], [-14, -14, 5], [-4, 1, -5], [12, -5, 1], [4, 2, -1], [6, -1, -1], [-22, -5, 7], [-5, 1, 8], [-3, 2, -11], [-12, 14, 4], [-2, 12, 1], [-3, -5, -4], [-24, 6, -12], [-5, 6, 7], [9, 5, 3], [16, -3, -9], [6, 9, -7], [8, -10, 1], [11, 16, -3], [0, -1, -9], [-16, -7, 13], [-8, -1, -4], [-18, -13, 14], [7, -7, 17], [-20, -3, -8], [-3, -6, 8], [9, 7, 6], [-1, 5, -17], [-9, -5, 4], [15, -10, 15], [-14, -16, 3], [-9, 5, 9], [3, -15, -3], [-4, -5, 9], [-5, 18, -3], [4, -17, -4], [-18, 11, -21], [14, 18, -16], [1, 16, -16], [0, 5, 2], [24, 4, -3], [-9, 1, -13], [6, -16, 16], [-28, 3, -4], [18, -2, -8], [-3, -12, 9], [15, 7, -16], [17, 9, -3], [13, -13, 3], [5, -14, 6], [-23, -5, 2], [-3, 11, -11], [-3, 23, -5], [5, 13, -14], [2, 5, 19], [9, 3, -17], [-15, 11, -3], [-19, 2, 13], [3, -12, -2], [6, -19, 5], [-3, 15, 9], [19, 4, -7], [25, 2, 8], [6, 17, -5], [3, 8, -10], [9, 7, 7], [-31, -15, 9], [-14, 18, -14], [15, -5, 20], [13, 2, -15], [-3, 20, -12], [8, -6, 15], [6, -6, 16], [8, -15, 23], [9, -9, 23], [-9, -4, 6], [-3, -14, 4], [-6, 0, 1], [16, -9, -2], [6, -5, 24], [-27, 13, 4], [33, 7, -5], [4, 8, -4], [-4, -3, -22], [-19, 7, -5], [-5, 15, -26], [-3, 17, 13], [-28, -6, 2], [42, -6, 13], [-25, 11, -26], [18, 1, -16], [9, 19, 1], [9, 8, -2], [-30, 1, 7], [-3, 1, 11], [13, -15, 25], [-2, 14, -28], [-18, 4, 4], [-15, 3, 1], [-8, 8, -3], [-21, 10, -28], [25, 23, -9], [-8, 23, -30], [5, 7, -18], [-9, 21, -2], [-7, 2, -11], [-30, 6, 3], [2, 15, 2], [24, 0, 2], [3, -20, -13], [-8, 5, -34], [8, 26, -23], [3, 24, -27], [3, -7, 10], [-32, 4, -16], [-24, -19, 3], [18, 1, 15], [-22, -2, 9], [-15, 0, -23], [-5, 34, -13], [-12, 2, -11], [24, -15, -5], [8, -14, 28], [-6, 16, 10], [21, -9, -1], [-1, -17, 6], [9, 1, 16], [6, 14, -28], [4, 8, 2], [12, 20, -14], [10, 24, -9], [-24, -10, -4], [-30, -1, -17], [17, -7, 28], [12, 13, 3], [-16, -17, 12], [-22, -7, -2], [31, 6, 1], [-4, 19, -26], [15, 3, 1], [-33, 16, -17], [-33, -20, 13], [-5, -3, -17], [-32, 5, 2], [15, -7, 7], [18, -20, -18], [10, 3, 16], [-7, -16, 16], [-28, 1, -17], [-2, 37, -22], [-11, 35, -9], [15, -12, 26], [27, 2, 15], [11, 5, -5], [0, -39, 25], [1, -2, -7], [-3, -3, 9], [-18, -35, 15], [-22, 13, -8], [-33, -19, 17], [-12, 5, 20], [-29, 17, -6], [-21, -13, -5], [-15, 19, -24], [-1, 24, -31], [-18, -23, 32], [-43, -11, 0], [27, 5, 18], [0, 2, 2], [-16, 15, 17], [-20, -16, 20], [15, -23, 43], [3, 4, 35], [0, -1, 7], [28, -9, -9], [9, 26, 5], [11, 12, 18], [1, -38, 44], [-15, 13, -19], [-15, 32, -4], [19, -19, -6], [-32, 19, -7], [11, -28, -23], [-10, -12, 21], [15, 36, -17], [-9, 5, -32], [-13, 1, -9], [33, 13, -14], [-31, -26, 22], [4, -20, -22], [48, -12, 8], [8, -10, -20], [-33, 13, 8], [13, 21, -11], [3, -29, 40], [22, 2, 20], [-47, 5, -12], [35, 23, -14], [-6, 5, 24], [9, -9, 44], [2, -19, 40], [-51, 1, -7], [6, 12, -22], [11, -32, -9], [-6, 17, -12], [15, 19, -15], [5, 2, 13], [-18, 22, 0], [-27, 13, -11], [9, 5, 32], [-15, -5, -18], [-25, 12, 17], [-9, 37, 6], [1, 33, -9], [5, 25, -29], [-19, 9, -12], [9, -20, 12], [-18, -5, 29], [33, 24, -30], [15, 1, 0], [-9, 6, 5], [2, 43, -36], [-12, -34, 26], [47, -3, -6], [-40, 12, -40], [-3, 7, 9], [-7, 37, -41], [-7, 33, -28], [39, -2, -7], [31, 8, -9], [15, 6, -29], [33, -23, -5], [-6, -22, -22], [63, -10, -1], [31, -27, 19], [3, -29, 34], [-24, 35, 1], [12, 39, -6], [22, -1, -25], [16, -6, -5], [-34, -3, -4], [27, -25, 12], [-19, 25, -29], [-13, -33, -7], [30, 8, 6], [12, -19, 35], [0, 21, -11], [6, 42, -10], [-2, 44, -42], [-15, -25, 13], [23, 35, -32], [-36, 16, -4], [18, -4, -13], [22, 16, -25], [4, -8, 17], [24, -9, -19], [-26, -2, 32], [10, 9, -6], [17, -29, 63], [23, -38, 18], [-18, 34, -22], [-30, 0, 12], [-39, 21, 8], [-12, 10, -13], [13, 57, -32], [21, -14, 3], [-13, 32, -5], [21, 9, 14], [-12, -1, 13], [-3, -34, 13], [-1, 4, 6], [14, -32, -9], [-3, 26, -21], [29, 19, -30], [-1, 13, 13], [18, -4, -7], [23, -38, 4], [14, 15, 14], [3, 25, 18], [-54, -5, -2], [-36, 11, 3], [63, 22, -13], [31, -22, -1], [-2, -2, -1], [-20, 17, -42], [19, 0, -36], [16, -18, 49], [-22, -11, 21], [-1, -2, 22], [16, 17, -13], [-7, -41, 39], [-33, -5, 19], [-24, 25, -18], [18, -37, 1], [-10, -35, 15], [55, 3, -6], [1, -16, 8], [-18, -14, 16], [58, 8, 0], [-11, -34, 9], [-7, -4, 16], [1, -26, 23], [-19, 1, -8], [-1, -4, 22], [28, 24, -14], [0, -27, 39], [29, -17, 49], [-8, -10, -16], [9, -6, -9], [12, 18, -40], [27, 28, -9], [68, -2, 12], [-27, 14, -17], [1, 37, -37], [-1, -29, 36], [-39, -47, 23], [24, 62, -36], [32, 1, 30], [0, 25, -38], [-37, -29, -5], [8, 53, -29], [60, 19, -12], [18, -29, 55], [-21, -53, 34], [-25, -56, 31], [52, -27, -14], [9, -10, 28], [-19, -15, -10], [30, -22, 60], [-49, 10, 4], [11, 28, -23], [0, -3, 21], [-3, -41, 3], [-28, -19, 13], [-12, -1, -7], [9, -4, 15], [-59, 0, -17], [19, -25, -13], [-51, -24, -4], [-45, 13, -14], [12, 12, 32], [4, 3, 1], [-6, 0, -55], [22, -29, 44], [19, 27, -18], [-1, -43, -11], [-32, -16, 33], [-15, 15, -8], [-51, 25, 20], [-6, -31, 5], [-8, -19, -25], [6, -6, -30], [12, -28, -20], [56, 2, 4], [-45, -19, 17], [51, 0, 4], [-13, -3, -33], [42, -7, 38], [-23, -29, -1], [-35, 15, 15], [-1, -1, 43], [16, -34, -18], [11, 10, -21], [-18, 44, -11], [-9, 30, -30], [-65, 3, -11], [-51, -12, 11], [18, -53, -5], [-39, 3, -3], [-41, -27, 1], [33, -26, 2], [-77, 2, -9]], 'char_orbit_index': 1, 'field_poly': [-1, -3, 0, 1], 'hecke_orbit_code': 94575592208344595, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1], 'hecke_ring_inverse_denominators': [1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0], [0, 1, 0], [2, 0, 1]], 'hecke_ring_numerators': [[1, 0, 0], [0, 1, 0], [-2, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 3, 'label': '9747.2.a.v', 'level': 9747, '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': [108, 120, 119, 108], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [29, 30, 30, 30], 'ALdims_old': [153, 158, 161, 154], 'Nk2': 38988, 'analytic_conductor': 77.83018685014198, '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': [9747, 1, [6860, 2890], [1, 1]], 'conrey_index': 1, 'cusp_dim': 1081, 'dim': 455, 'eis_dim': 119, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5, 7, 13], 'hecke_orbit_code': 33564179, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 12, 12, 12, 12, 12, 12, 12, 12, 18, 18, 18, 18, 24, 24, 24, 24, 24, 24], 'label': '9747.2.a', 'level': 9747, 'level_is_powerful': True, '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, 19], 'level_radical': 57, 'mf_dim': 1200, 'mf_new_dim': 455, 'num_forms': 64, 'plus_dim': 216, 'prim_orbit_index': 1, 'relative_dim': 455, 'sturm_bound': 2280, 'trace_bound': 91, 'trace_display': [0, 0, 0, -3], 'traces': [455, 0, 0, 458, 0, 0, -3, 0, 0, 4, 0, 0, 11, 0, 0, 476, 0, 0, 0, 0, 0, 8, 0, 0, 465, 0, 0, -10, 0, 0, -12, 0, 0, -20, 0, 0, 33, 0, 0, -24, 0, 0, -36, 0, 0, -4, 0, 0, 442, 0, 0, 18, 0, 0, -4, 0, 0, 56, 0, 0, 37, 0, 0, 500, 0, 0, 31, 0, 0, -24, 0, 0, -5, 0, 0, 0, 0, 0, 51, 0, 0, -52, 0, 0, 44, 0, 0, 84, 0, 0, -63, 0, 0, 12, 0, 0, 15, 0, 0, 506, 0, 0, 17, 0, 0, 28, 0, 0, 26, 0, 0, -72, 0, 0, -76, 0, 0, 64, 0, 0, 395, 0, 0, 44, 0, 0, 4, 0, 0, 144, 0, 0, 0, 0, 0, 36, 0, 0, -67, 0, 0, -68, 0, 0, 32, 0, 0, 158, 0, 0, -73, 0, 0, 80, 0, 0, -38, 0, 0, -64, 0, 0, -3, 0, 0, -20, 0, 0, 516, 0, 0, -104, 0, 0, -113, 0, 0, 4, 0, 0, -49, 0, 0, -48, 0, 0, -68, 0, 0, 0, 0, 0, 1, 0, 0, 516, 0, 0, -103, 0, 0, -12, 0, 0, -44, 0, 0, 24, 0, 0, -111, 0, 0, 48, 0, 0, -40, 0, 0, -28, 0, 0, -40, 0, 0, 44, 0, 0, 94, 0, 0, 100, 0, 0, -92, 0, 0, -92, 0, 0, 59, 0, 0, -34, 0, 0, 0, 0, 0, 48, 0, 0, 76, 0, 0, 696, 0, 0, -13, 0, 0, -80, 0, 0, 144, 0, 0, 22, 0, 0, -87, 0, 0, 60, 0, 0, -56, 0, 0, 84, 0, 0, -242, 0, 0, -100, 0, 0, 513, 0, 0, -114, 0, 0, -108, 0, 0, -36, 0, 0, -2, 0, 0, 0, 0, 0, -56, 0, 0, -300, 0, 0, -77, 0, 0, 2, 0, 0, 152, 0, 0, -176, 0, 0, 137, 0, 0, -80, 0, 0, -91, 0, 0, -20, 0, 0, -13, 0, 0, 52, 0, 0, -207, 0, 0, -192, 0, 0, 77, 0, 0, 64, 0, 0, 24, 0, 0, -24, 0, 0, 0, 0, 0, -134, 0, 0, 41, 0, 0, -112, 0, 0, 41, 0, 0, -300, 0, 0, -57, 0, 0, -96, 0, 0, -100, 0, 0, 26, 0, 0, 52, 0, 0, 132, 0, 0, -58, 0, 0, 832, 0, 0, 90, 0, 0, 160, 0, 0, -101, 0, 0, -162, 0, 0, 44, 0, 0, 0, 0, 0, 163, 0, 0, 80, 0, 0, -143, 0, 0, 116, 0, 0, -46, 0, 0, 264, 0, 0, 36, 0, 0, -88, 0, 0, 136, 0, 0, 208, 0, 0, 216, 0, 0, 60, 0, 0, -18, 0, 0, 32, 0, 0, -63, 0, 0, 256, 0, 0, -27, 0, 0, -40, 0, 0, 0, 0, 0, 84, 0, 0, -249, 0, 0, 282, 0, 0, 25, 0, 0, 416, 0, 0, -164, 0, 0, -100, 0, 0, 224, 0, 0, -196, 0, 0, 72, 0, 0, -116, 0, 0, 123, 0, 0, -48, 0, 0, -240, 0, 0, 252, 0, 0, -29, 0, 0, 52, 0, 0, 347, 0, 0, 0, 0, 0, -224, 0, 0, 280, 0, 0, 135, 0, 0, -76, 0, 0, 85, 0, 0, -28, 0, 0, 49, 0, 0, -118, 0, 0, 100, 0, 0, -156, 0, 0, 48, 0, 0, -120, 0, 0, 131, 0, 0, -104, 0, 0, 63, 0, 0, 4, 0, 0, -100, 0, 0, -152, 0, 0, 0, 0, 0, 68, 0, 0, 112, 0, 0, 120, 0, 0, 62, 0, 0, 18, 0, 0, 77, 0, 0, 232, 0, 0, -17, 0, 0, 384, 0, 0, 27, 0, 0, 16, 0, 0, 367, 0, 0, -368, 0, 0, 11, 0, 0, -152, 0, 0, -102, 0, 0, 36, 0, 0, 212, 0, 0, 0, 0, 0, 20, 0, 0, -126, 0, 0, -92, 0, 0, 156, 0, 0, 145, 0, 0, -300, 0, 0, 0, 0, 0, -40, 0, 0, -63, 0, 0, 420, 0, 0, -171, 0, 0, 116, 0, 0, -160, 0, 0, -280, 0, 0, 2, 0, 0, -236, 0, 0, 204, 0, 0, 74, 0, 0, 0, 0, 0, -380, 0, 0, -69, 0, 0, -176, 0, 0, -360, 0, 0, -336, 0, 0, -233, 0, 0, -366, 0, 0, -172, 0, 0, -404, 0, 0, -344, 0, 0, -56, 0, 0, 68, 0, 0, 312, 0, 0, 328, 0, 0, -160, 0, 0, 11, 0, 0, -44, 0, 0, -141, 0, 0, 0, 0, 0, 166, 0, 0, 208, 0, 0, 273, 0, 0, 70, 0, 0, -256, 0, 0, 516, 0, 0, -36, 0, 0, 408, 0, 0, 287, 0, 0, 208, 0, 0, -191, 0, 0, -446, 0, 0, -52, 0, 0, 336, 0, 0, -264, 0, 0, -120, 0, 0, -268, 0, 0, 36, 0, 0, 0, 0, 0, 32, 0, 0, -427, 0, 0, 128, 0, 0, -157, 0, 0, 140, 0, 0, -180, 0, 0, 148, 0, 0, 549, 0, 0, -406, 0, 0, 5, 0, 0, -56, 0, 0, 21, 0, 0, 212, 0, 0, -103, 0, 0, -92, 0, 0, 380, 0, 0, 212, 0, 0, -391, 0, 0, 0, 0, 0, -123, 0, 0, 244, 0, 0, 93, 0, 0, 32, 0, 0, -212, 0, 0, -24, 0, 0, 56, 0, 0, -60, 0, 0, 52, 0, 0, -72, 0, 0, -65, 0, 0, 372, 0, 0, 180, 0, 0, 452, 0, 0, -120, 0, 0, -24, 0, 0, -37, 0, 0, 4, 0, 0, 0, 0, 0, -36, 0, 0, 93, 0, 0, -440, 0, 0, -260, 0, 0, 388, 0, 0, 267, 0, 0, 336, 0, 0, -92, 0, 0, 312, 0, 0, 447, 0, 0, -30, 0, 0, -237, 0, 0, -20, 0, 0, -367, 0, 0, 4, 0, 0, 372, 0, 0, -56, 0, 0, 28, 0, 0, 0, 0, 0, -75, 0, 0, -236, 0, 0, -274, 0, 0, -48], '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: 1445355
    {'conductor': 19, 'degree': 6, 'multiplicity': 2, 'order': 18, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '9747.2.a.v', 'source_level': 9747, 'target_char_orbit': 25, 'target_dim': 6, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '513.2.y.a', 'target_level': 513, 'twist_class_label': '513.2.y.a', 'twist_class_level': 513, 'twisting_char_label': '19.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1445356
    {'conductor': 57, 'degree': 6, 'multiplicity': 2, 'order': 18, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '9747.2.a.v', 'source_level': 9747, 'target_char_orbit': 25, 'target_dim': 6, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '513.2.y.c', 'target_level': 513, 'twist_class_label': '513.2.y.a', 'twist_class_level': 513, 'twisting_char_label': '57.j', 'twisting_char_orbit': 10, 'weight': 2}
  • id: 1445357
    {'conductor': 57, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '9747.2.a.v', 'source_level': 9747, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 21, 'target_is_minimal': False, 'target_label': '9747.2.a.u', 'target_level': 9747, 'twist_class_label': '513.2.y.a', 'twist_class_level': 513, 'twisting_char_label': '57.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1445358
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '9747.2.a.v', 'source_level': 9747, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '9747.2.a.v', 'target_level': 9747, 'twist_class_label': '513.2.y.a', 'twist_class_level': 513, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1445359
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '9747.2.a.v', 'source_level': 9747, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 28, 'target_is_minimal': False, 'target_label': '9747.2.a.bb', 'target_level': 9747, 'twist_class_label': '513.2.y.a', 'twist_class_level': 513, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1445360
    {'conductor': 19, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '9747.2.a.v', 'source_level': 9747, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 30, 'target_is_minimal': False, 'target_label': '9747.2.a.bd', 'target_level': 9747, 'twist_class_label': '513.2.y.a', 'twist_class_level': 513, 'twisting_char_label': '19.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 5110425
    {'charpoly_factorization': [[[-3, 0, 3, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 2}
  • id: 5110426
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 94575592208344595, 'p': 3}
  • id: 5110427
    {'charpoly_factorization': [[[3, 0, -3, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 5}
  • id: 5110428
    {'charpoly_factorization': [[[19, 24, 9, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 7}
  • id: 5110429
    {'charpoly_factorization': [[[9, 18, -9, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 11}
  • id: 5110430
    {'charpoly_factorization': [[[-19, 24, -9, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 13}
  • id: 5110431
    {'charpoly_factorization': [[[111, -45, -3, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 17}
  • id: 5110432
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 94575592208344595, 'p': 19}
  • id: 5110433
    {'charpoly_factorization': [[[-3, 0, 3, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 23}
  • id: 5110434
    {'charpoly_factorization': [[[-51, -9, 6, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 29}
  • id: 5110435
    {'charpoly_factorization': [[[107, -57, 0, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 31}
  • id: 5110436
    {'charpoly_factorization': [[[-613, 231, -27, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 37}
  • id: 5110437
    {'charpoly_factorization': [[[321, 144, 21, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 41}
  • id: 5110438
    {'charpoly_factorization': [[[127, 87, 18, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 43}
  • id: 5110439
    {'charpoly_factorization': [[[51, -27, -6, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 47}
  • id: 5110440
    {'charpoly_factorization': [[[-51, -27, 6, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 53}
  • id: 5110441
    {'charpoly_factorization': [[[-57, -18, 3, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 59}
  • id: 5110442
    {'charpoly_factorization': [[[-71, -12, 9, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 61}
  • id: 5110443
    {'charpoly_factorization': [[[-19, 24, -9, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 67}
  • id: 5110444
    {'charpoly_factorization': [[[-57, -126, 3, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 71}
  • id: 5110445
    {'charpoly_factorization': [[[-107, 69, 18, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 73}
  • id: 5110446
    {'charpoly_factorization': [[[1007, -201, 0, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 79}
  • id: 5110447
    {'charpoly_factorization': [[[-27, -27, 0, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 83}
  • id: 5110448
    {'charpoly_factorization': [[[381, 288, 33, 1], 1]], 'hecke_orbit_code': 94575592208344595, 'p': 89}
  • id: 5110449
    {'charpoly_factorization': [[[17, -168, -3, 1], 1]], 'hecke_orbit_code': 94575592208344595, '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': 22, 'label': '9747.2.a.v', 'level': 9747, '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: 65208187
    {'hecke_orbit_code': 94575592208344595, 'n': 1, 'trace_an': 3}
  • id: 65208188
    {'hecke_orbit_code': 94575592208344595, 'n': 2, 'trace_an': -3}
  • id: 65208189
    {'hecke_orbit_code': 94575592208344595, 'n': 3, 'trace_an': 0}
  • id: 65208190
    {'hecke_orbit_code': 94575592208344595, 'n': 4, 'trace_an': 3}
  • id: 65208191
    {'hecke_orbit_code': 94575592208344595, 'n': 5, 'trace_an': 3}
  • id: 65208192
    {'hecke_orbit_code': 94575592208344595, 'n': 6, 'trace_an': 0}
  • id: 65208193
    {'hecke_orbit_code': 94575592208344595, 'n': 7, 'trace_an': -9}
  • id: 65208194
    {'hecke_orbit_code': 94575592208344595, 'n': 8, 'trace_an': -6}
  • id: 65208195
    {'hecke_orbit_code': 94575592208344595, 'n': 9, 'trace_an': 0}
  • id: 65208196
    {'hecke_orbit_code': 94575592208344595, 'n': 10, 'trace_an': 0}
  • id: 65208197
    {'hecke_orbit_code': 94575592208344595, 'n': 11, 'trace_an': 9}
  • id: 65208198
    {'hecke_orbit_code': 94575592208344595, 'n': 12, 'trace_an': 0}
  • id: 65208199
    {'hecke_orbit_code': 94575592208344595, 'n': 13, 'trace_an': 9}
  • id: 65208200
    {'hecke_orbit_code': 94575592208344595, 'n': 14, 'trace_an': 12}
  • id: 65208201
    {'hecke_orbit_code': 94575592208344595, 'n': 15, 'trace_an': 0}
  • id: 65208202
    {'hecke_orbit_code': 94575592208344595, 'n': 16, 'trace_an': 3}
  • id: 65208203
    {'hecke_orbit_code': 94575592208344595, 'n': 17, 'trace_an': 3}
  • id: 65208204
    {'hecke_orbit_code': 94575592208344595, 'n': 18, 'trace_an': 0}
  • id: 65208205
    {'hecke_orbit_code': 94575592208344595, 'n': 19, 'trace_an': 0}
  • id: 65208206
    {'hecke_orbit_code': 94575592208344595, 'n': 20, 'trace_an': 3}
  • id: 65208207
    {'hecke_orbit_code': 94575592208344595, 'n': 21, 'trace_an': 0}
  • id: 65208208
    {'hecke_orbit_code': 94575592208344595, 'n': 22, 'trace_an': -18}
  • id: 65208209
    {'hecke_orbit_code': 94575592208344595, 'n': 23, 'trace_an': -3}
  • id: 65208210
    {'hecke_orbit_code': 94575592208344595, 'n': 24, 'trace_an': 0}
  • id: 65208211
    {'hecke_orbit_code': 94575592208344595, 'n': 25, 'trace_an': -6}
  • id: 65208212
    {'hecke_orbit_code': 94575592208344595, 'n': 26, 'trace_an': -12}
  • id: 65208213
    {'hecke_orbit_code': 94575592208344595, 'n': 27, 'trace_an': 0}
  • id: 65208214
    {'hecke_orbit_code': 94575592208344595, 'n': 28, 'trace_an': -18}
  • id: 65208215
    {'hecke_orbit_code': 94575592208344595, 'n': 29, 'trace_an': -6}
  • id: 65208216
    {'hecke_orbit_code': 94575592208344595, 'n': 30, 'trace_an': 0}
  • id: 65208217
    {'hecke_orbit_code': 94575592208344595, 'n': 31, 'trace_an': 0}
  • id: 65208218
    {'hecke_orbit_code': 94575592208344595, 'n': 32, 'trace_an': 0}
  • id: 65208219
    {'hecke_orbit_code': 94575592208344595, 'n': 33, 'trace_an': 0}
  • id: 65208220
    {'hecke_orbit_code': 94575592208344595, 'n': 34, 'trace_an': 9}
  • id: 65208221
    {'hecke_orbit_code': 94575592208344595, 'n': 35, 'trace_an': -12}
  • id: 65208222
    {'hecke_orbit_code': 94575592208344595, 'n': 36, 'trace_an': 0}
  • id: 65208223
    {'hecke_orbit_code': 94575592208344595, 'n': 37, 'trace_an': 27}
  • id: 65208224
    {'hecke_orbit_code': 94575592208344595, 'n': 38, 'trace_an': 0}
  • id: 65208225
    {'hecke_orbit_code': 94575592208344595, 'n': 39, 'trace_an': 0}
  • id: 65208226
    {'hecke_orbit_code': 94575592208344595, 'n': 40, 'trace_an': -18}
  • id: 65208227
    {'hecke_orbit_code': 94575592208344595, 'n': 41, 'trace_an': -21}
  • id: 65208228
    {'hecke_orbit_code': 94575592208344595, 'n': 42, 'trace_an': 0}
  • id: 65208229
    {'hecke_orbit_code': 94575592208344595, 'n': 43, 'trace_an': -18}
  • id: 65208230
    {'hecke_orbit_code': 94575592208344595, 'n': 44, 'trace_an': 18}
  • id: 65208231
    {'hecke_orbit_code': 94575592208344595, 'n': 45, 'trace_an': 0}
  • id: 65208232
    {'hecke_orbit_code': 94575592208344595, 'n': 46, 'trace_an': 9}
  • id: 65208233
    {'hecke_orbit_code': 94575592208344595, 'n': 47, 'trace_an': 6}
  • id: 65208234
    {'hecke_orbit_code': 94575592208344595, 'n': 48, 'trace_an': 0}
  • id: 65208235
    {'hecke_orbit_code': 94575592208344595, 'n': 49, 'trace_an': 12}
  • id: 65208236
    {'hecke_orbit_code': 94575592208344595, 'n': 50, 'trace_an': 15}
  • id: 65208237
    {'hecke_orbit_code': 94575592208344595, 'n': 51, 'trace_an': 0}
  • id: 65208238
    {'hecke_orbit_code': 94575592208344595, 'n': 52, 'trace_an': 9}
  • id: 65208239
    {'hecke_orbit_code': 94575592208344595, 'n': 53, 'trace_an': -6}
  • id: 65208240
    {'hecke_orbit_code': 94575592208344595, 'n': 54, 'trace_an': 0}
  • id: 65208241
    {'hecke_orbit_code': 94575592208344595, 'n': 55, 'trace_an': 0}
  • id: 65208242
    {'hecke_orbit_code': 94575592208344595, 'n': 56, 'trace_an': 33}
  • id: 65208243
    {'hecke_orbit_code': 94575592208344595, 'n': 57, 'trace_an': 0}
  • id: 65208244
    {'hecke_orbit_code': 94575592208344595, 'n': 58, 'trace_an': -9}
  • id: 65208245
    {'hecke_orbit_code': 94575592208344595, 'n': 59, 'trace_an': -3}
  • id: 65208246
    {'hecke_orbit_code': 94575592208344595, 'n': 60, 'trace_an': 0}
  • id: 65208247
    {'hecke_orbit_code': 94575592208344595, 'n': 61, 'trace_an': -9}
  • id: 65208248
    {'hecke_orbit_code': 94575592208344595, 'n': 62, 'trace_an': -3}
  • id: 65208249
    {'hecke_orbit_code': 94575592208344595, 'n': 63, 'trace_an': 0}
  • id: 65208250
    {'hecke_orbit_code': 94575592208344595, 'n': 64, 'trace_an': 12}
  • id: 65208251
    {'hecke_orbit_code': 94575592208344595, 'n': 65, 'trace_an': 3}
  • id: 65208252
    {'hecke_orbit_code': 94575592208344595, 'n': 66, 'trace_an': 0}
  • id: 65208253
    {'hecke_orbit_code': 94575592208344595, 'n': 67, 'trace_an': 9}
  • id: 65208254
    {'hecke_orbit_code': 94575592208344595, 'n': 68, 'trace_an': -33}
  • id: 65208255
    {'hecke_orbit_code': 94575592208344595, 'n': 69, 'trace_an': 0}
  • id: 65208256
    {'hecke_orbit_code': 94575592208344595, 'n': 70, 'trace_an': 9}
  • id: 65208257
    {'hecke_orbit_code': 94575592208344595, 'n': 71, 'trace_an': -3}
  • id: 65208258
    {'hecke_orbit_code': 94575592208344595, 'n': 72, 'trace_an': 0}
  • id: 65208259
    {'hecke_orbit_code': 94575592208344595, 'n': 73, 'trace_an': -18}
  • id: 65208260
    {'hecke_orbit_code': 94575592208344595, 'n': 74, 'trace_an': -21}
  • id: 65208261
    {'hecke_orbit_code': 94575592208344595, 'n': 75, 'trace_an': 0}
  • id: 65208262
    {'hecke_orbit_code': 94575592208344595, 'n': 76, 'trace_an': 0}
  • id: 65208263
    {'hecke_orbit_code': 94575592208344595, 'n': 77, 'trace_an': -27}
  • id: 65208264
    {'hecke_orbit_code': 94575592208344595, 'n': 78, 'trace_an': 0}
  • id: 65208265
    {'hecke_orbit_code': 94575592208344595, 'n': 79, 'trace_an': 0}
  • id: 65208266
    {'hecke_orbit_code': 94575592208344595, 'n': 80, 'trace_an': 12}
  • id: 65208267
    {'hecke_orbit_code': 94575592208344595, 'n': 81, 'trace_an': 0}
  • id: 65208268
    {'hecke_orbit_code': 94575592208344595, 'n': 82, 'trace_an': 18}
  • id: 65208269
    {'hecke_orbit_code': 94575592208344595, 'n': 83, 'trace_an': 0}
  • id: 65208270
    {'hecke_orbit_code': 94575592208344595, 'n': 84, 'trace_an': 0}
  • id: 65208271
    {'hecke_orbit_code': 94575592208344595, 'n': 85, 'trace_an': -9}
  • id: 65208272
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  • id: 65208273
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  • id: 65208274
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  • id: 65208275
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  • id: 65208276
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  • id: 65208277
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  • id: 65208278
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  • id: 65208279
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  • id: 65208280
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  • id: 65208281
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  • id: 65208282
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  • id: 65208283
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  • id: 65208284
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  • id: 65208285
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  • id: 65208286
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  • id: 65208287
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  • id: 65208288
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  • id: 65208289
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  • id: 65208290
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  • id: 65208291
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  • id: 65208292
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  • id: 65208293
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  • id: 65208294
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  • id: 65208295
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  • id: 65208296
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  • id: 65208297
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  • id: 65208298
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  • id: 65208299
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  • id: 65208300
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  • id: 65208301
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  • id: 65208302
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  • id: 65208303
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  • id: 65208304
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  • id: 65208305
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  • id: 65208306
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  • id: 65208307
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  • id: 65208308
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  • id: 65208309
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  • id: 65208310
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  • id: 65208311
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  • id: 65208312
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  • id: 65208313
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  • id: 65208314
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  • id: 65208315
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  • id: 65208316
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  • id: 65208317
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  • id: 65208318
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  • id: 65208319
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  • id: 65208320
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  • id: 65208321
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  • id: 65208322
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  • id: 65208323
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  • id: 65208324
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  • id: 65208325
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  • id: 65208326
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  • id: 65208327
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  • id: 65208328
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  • id: 65208329
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  • id: 65208330
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  • id: 65208331
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  • id: 65208332
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  • id: 65208333
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  • id: 65208334
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  • id: 65208335
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  • id: 65208336
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  • id: 65208337
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  • id: 65208338
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  • id: 65208339
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  • id: 65208340
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  • id: 65208341
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  • id: 65208342
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  • id: 65208343
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  • id: 65208344
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  • id: 65208345
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  • id: 65208346
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  • id: 65208347
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  • id: 65208348
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  • id: 65208349
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  • id: 65208350
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  • id: 65208351
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  • id: 65208352
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  • id: 65208353
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  • id: 65208354
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  • id: 65208355
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  • id: 65208356
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  • id: 65208357
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  • id: 65208358
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  • id: 65208359
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  • id: 65208360
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  • id: 65208361
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  • id: 65208362
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  • id: 65208363
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  • id: 65208364
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  • id: 65208365
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  • id: 65208366
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  • id: 65208367
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  • id: 65208368
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  • id: 65208369
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  • id: 65208370
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  • id: 65208371
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  • id: 65208372
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  • id: 65208373
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  • id: 65208374
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  • id: 65208375
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  • id: 65208376
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  • id: 65208377
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  • id: 65208378
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  • id: 65208379
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  • id: 65208380
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  • id: 65208381
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  • id: 65208382
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  • id: 65208383
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  • id: 65208384
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  • id: 65208385
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  • id: 65208386
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  • id: 65208387
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  • id: 65208388
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  • id: 65208389
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  • id: 65208390
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  • id: 65208391
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  • id: 65208392
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  • id: 65208393
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  • id: 65208394
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  • id: 65208395
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  • id: 65208396
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  • id: 65208397
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  • id: 65208398
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  • id: 65208399
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  • id: 65208400
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  • id: 65208401
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  • id: 65208402
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  • id: 65208403
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  • id: 65208404
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  • id: 65208405
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  • id: 65208406
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  • id: 65208407
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  • id: 65208408
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  • id: 65208409
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  • id: 65208410
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  • id: 65208411
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  • id: 65208412
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  • id: 65208413
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  • id: 65208414
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  • id: 65208415
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  • id: 65208416
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  • id: 65208417
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  • id: 65208418
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  • id: 65208419
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  • id: 65208420
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  • id: 65208421
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  • id: 65208422
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  • id: 65208423
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  • id: 65208424
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  • id: 65208425
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  • id: 65208426
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  • id: 65208427
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  • id: 65208428
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  • id: 65208429
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  • id: 65208430
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  • id: 65208431
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  • id: 65208432
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  • id: 65208433
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  • id: 65208434
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  • id: 65208435
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  • id: 65208436
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  • id: 65208437
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  • id: 65208438
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  • id: 65208439
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  • id: 65208440
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  • id: 65208441
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  • id: 65208442
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  • id: 65208443
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  • id: 65208444
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