Newform data - 1925.2.a.p

Formats: - HTML - YAML - JSON - 2025-09-24T04:04:18.094687

• 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': 7700, 'analytic_conductor': 15.371202389096474, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[5, -1], [7, -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': [1925, 1, [1002, 276, 1751], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 13, 'field_disc_factorization': [[13, 1]], 'field_poly': [-3, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-3, 1, 1]], [3, [-1, 1]], [13, [-13, 0, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444113797, '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': True, 'label': '1925.2.a.p', 'level': 1925, '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': [5, 7, 11], 'level_radical': 385, 'minimal_twist': '1925.2.a.p', 'nf_label': '2.2.13.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta q^{2}+q^{3}+(1+\\beta )q^{4}-\\beta q^{6}+q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1925.2.a', 'trace_display': [-1, 2, 0, 2], 'trace_hash': 1723027898037002387, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.949', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.492', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '62.932', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.008', 'prec': 17}, 'traces': [2, -1, 2, 3, 0, -1, 2, -6, -4, 0, -2, 3, 0, -1, 0, -3, -1, 2, -9, 0, 2, 1, 3, -6, 0, -13, -10, 3, 6, 0, -10, 7, -2, 7, 0, -6, -10, 11, 0, 0, -3, -1, -14, -3, 0, -21, 3, -3, 2, 0, -1, 13, -8, 5, 0, -6, -9, -3, 1, 0, -1, 18, -4, -4, 0, 1, -1, -8, 3, 0, -9, 12, 6, 18, 0, -20, -2, -13, -17, 0, 2, -18, 11, 3, 0, 7, 6, 6, -14, 0, 0, 24, -10, -21, 0, 7, 12, -1, 4, 0, -10, 7, -14, 0, 0, 17, 7, -15, 21, 0, -10, -3, 9, 11, 0, 9, 0, -7, -1, 0, 2, 33, -3, -28, 0, 2, 24, 27, -14, 0, 12, -3, -9, 33, 0, 3, -13, -21, -2, 0, 3, 24, 0, 6, 0, -16, 2, -28, -30, 0, -14, 27, 2, 1, 0, 13, -9, -11, -8, 0, 3, -1, -5, 15, 0, -38, -4, -6, 0, 0, 18, -21, 8, -3, 0, 3, 1, 20, -19, 0, -14, -13, -1, -9, 0, 18, 1, 24, -10, 0, 6, -4, 19, -19, 0, 3, -31, -2, 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20, -22, 0, -27, 102, -20, 47, 0, 66, 86, 78, 34, 0, 86, 21, 24, 19, 0, -30, -24, 60, -21, 0, 39, -62, 147, 114, 0, -3, -101, 16, 98, 0, 31, -24, -33, 26, 0, 14, -33, 76, 6, 0, 6, -58, -90, -20, 0, 9, 13, -3, -32, 0, 10, -26, 90, -3, 0, -80, -117, 1, -109, 0, -14, 123, 32, -21, 0, -21, -9, -27, 9, 0, -39, -82, 0, -26, 0, 42, -62, 1, 48, 0, 59, 12, -73, -24, 0, -13, -155, -24, 22, 0, -18, -60, -45, -74, 0, 6, 100, -20, 91, 0, 87, -1, -1, -27, 0, 36, 156, -43, 21, 0, 59, -26, -24, 32, 0, -127, 30, -25, -36, 0, -53, 70, -158, 10, 0, 132, -75, 13, 33, 0, 15, 52, 36, -23, 0, -18, 73, 39, -13, 0, -57, -18, 15, 48, 0, -6, -34, 7, 18, 0, -13, -14, 66, 58, 0, 65, 4, 24, -32, 0, 84, 18, 28, -39, 0, -10, -72, -19, -16, 0, 93, 3, 7, 4, 0, -90, 39, 85, 19, 0, 42, 3, 3, -54, 0, 120, -14, 12, -36, 0, 54, -60, -74, 2, 0, -18, 18, -81, -19, 0, -3, -24, -104, 14, 0, -45, -90, -14, -125, 0, -63, 31, -48, -24, 0, -52, -21, -27, -6, 0, -33, -5, 2, -129, 0, 29, -85, -18, 0, 0, -167, -70, -17, 23, 0, 42, 13, 7, 78, 0, 68, 0, 11, 64, 0, 84, 16, 31, -60, 0, -30, -9, 30, -31, 0, 1, -6, 10, 90, 0, 69, -76, -22, 22, 0, -67, 8, 26, 42, 0, 17, 33, -9, -1, 0, 57, -60, -6, 10, 0, -91, 20, -91, 69, 0, -55, 38, 74, 8, 0, 83, 7, -63, -130, 0, -144, 144, -54, -21, 0, 15, 70, -66, 60, 0, 11, -39, -56, 9, 0, -46, -70, 3, -21, 0, 1, -51, -18, 52, 0, -83, 6, -36, 56, 0, -33, 22, 40, 8, 0, -28, 62, -13, 21, 0, -51, 87, 86, -168, 0, 9, 58, 49, -9, 0, 13, 84, 3, 50, 0, -174, -8, 73, -25, 0, 62, 81, 58, 104, 0, 48, 16, -168, 54, 0, 36, -35, 24, 49, 0, 75, -91, -36, 13, 0, 20, 25, -46, -21, 0, 34, -6, 28, -21, 0, -35, 149, 9, -18, 0, 30, -2, 93, 6, 0, 18, -3, 0, -29, 0, 178, -20, -66, -34, 0, -26, -139, -38, -14, 0, 0, 12, 98, -138, 0, 34, 130, 9, 75, 0, -30, 22, -54, -65, 0, 12, -67, 61, 45, 0, 45, 10, 24, -85, 0, 6, -117, 98, -22, 0, -144, -21, 43, 4, 0, 2, 39, 70, -42, 0, -31, 33, 42, -6, 0, -28, 68, -82, -51, 0, 60, -122, 78, 18, 0, 12, 61, 42, 30, 0, 110, 54, 134, -6, 0, 13, -141, -4, -141, 0, 9, 104, 123, -32, 0, 24, -18, 0, 78, 0, 27, 50, 10, 46, 0, 63, 95, -13, -133, 0, -6, 0, -87, 50, 0, -87, -66, -25, -7, 0, -26, -16, 27, -60, 0, -43, 42, -21, -5, 0, -148, 70, -7, 70, 0, 35, 34, 156, -120, 0, 24, -95, 15, -15, 0, -51, -34, 46, 21, 0, -78, -12, -15, -1, 0, -96, 76, -41, -126, 0, 55, 129, 20, 39, 0, -10, 7, 25, -72, 0, 66, 15, -108, 18, 0, 48, -91, -40, -121, 0, -21, 9, -40, -42, 0, 22, -80, 15, 7, 0, -66, -7, 105, 18, 0, 2, 90, -10, -1, 0, -168, 6, 13, 24, 0, 32, 18, -54, -75, 0, 66, -69, 18, 0, 0, 65, 33, -9, 102, 0, 49, -32, -21, 46, 0, -5, 36, -120, -26, 0, 15, -84, -53, -86, 0, -42, 142, 6, -33, 0, -80, 117, 147, 12, 0, -58, 7, -144, -154, 0, -8, -8, 3, 72, 0, 54, -8, 65, -28, 0, -92, 17, -12, 29, 0, 0, 142, -65, 87, 0, -63, 75, -7, -60, 0, 2, 114, 7, -111, 0, 52, 84, -44, -9, 0, -70, -9, 108, 30, 0, -145, -12, 63, 0, 0, -30, -55, -63, 141, 0, 5, -10, -48, -10, 0, -12, -26, -26, 71, 0, 71, 107, -87, -35, 0, -21, 1, 42, -60, 0, -126, 24, 72, 11, 0, 26, -20, -32, -81, 0, -39, 75, 130, -33, 0, 32, -30, -1, 34, 0, -40, -153, 27, -27, 0, -78, -38, 85, -8, 0, 102, -30, -147, -80, 0, -56, -29, 17, 0, 0, 18, 90, 24, 28, 0, -162, -27, -138, -30, 0, 31, 13, 64, -36, 0, -10, 172, 3, -21, 0, -63, 50, -30, 30, 0, -152, -163, -4, 111, 0, -14, -21, -131, -11, 0, 175, 127, -52, -6, 0, -66, -96, -53, 92, 0, 12, 28, 26, 7, 0, -91, -9, -17, 96, 0, 30, 71, -4, 86, 0, -64, 58, -77, -39, 0, 22, 6, 21, 98, 0, 18, -16, -69, -9, 0, 70, -13, 3, 21, 0, -47, 43, -27, 122, 0, 36, 0, -9, -14, 0, 33, -11, -147, 10, 0, -40, -39, -48, 17, 0, 108, 49, 0, -48, 0, -8, 178, 36, 33, 0, 25, -84, 114, -88, 0, -26, 71, -5, 129, 0, -22, 29, -2, 54, 0, 135, 5, -12, -169, 0, 76, 34, -7, 28, 0, 60, -3, 44, 12, 0, 8, 26, -62, 10, 0, 87, -198, -44, 242, 0, 3, 86, 163, 33, 0, -81, -85, 6, -17, 0, -75, -99, -45, 24, 0, 12, -75, 0, 20, 0, -75, -13, -163, 44, 0, 7, -33, 14, -60, 0, 78, -104, -27, -35, 0, 1, -8, 6, -74, 0, 21, -5, 42, -117, 0, -8, -122, 47, -6, 0, -221, -22, -28, -103, 0, -45, 13, -6, 144, 0, 39, -74, -115, -2, 0, -42, -7, 46, 56, 0, -11, 128, -31, -30, 0, -8, 96, -12, -44, 0, -138, 14, -78, -81, 0, 61, 201, -105, 99, 0, -20, -10, 34, -68, 0, -78, -18, -69, 44, 0, -127, -28, 21, 6, 0, -6, 119, -98, -78, 0, -23, -21, 24, 73, 0, -94, 70, 46, 52, 0, -48, -52, -37, -32, 0, -16, 24, 47, 0, 0, -25, -42, -98, -1, 0, -25, 5, 30, -41, 0, -22, -10, 3, -28, 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], [1, 0], [-3, 0], [-2, 0], [0, 0], [-1, 0], [1, 1], [-1, 2], [0, -1], [0, 0], [-2, 1], [0, -1], [0, 2], [-4, -1], [0, 0], [1, 0], [0, 1], [0, 3], [-3, 0], [0, 0], [-6, -1], [-5, 0], [1, 1], [3, 0], [0, 0], [-4, -2], [3, 1], [-1, 0], [3, 1], [0, 0], [-2, -2], [-4, -2], [3, 5], [-1, 2], [0, 0], [-3, 3], [0, -1], [-7, 0], [-1, -1], [0, 0], [-9, -3], [0, 3], [-2, 1], [1, 0], [0, 0], [0, -1], [5, 3], [-3, -2], [0, 5], [0, 0], [-3, 0], [-4, -1], [0, -3], [0, 1], [0, 0], [2, -5], [6, 6], [-2, 0], [1, -6], [0, 0], [0, 1], [2, -5], [-3, -2], [0, 3], [0, 0], [-3, -3], [6, 0], [2, 2], [6, 6], [0, 0], [-7, -6], [-1, 0], [-6, -1], [-10, 3], [0, 0], [1, 0], [-9, 0], [3, 5], [1, 1], [0, 0], [0, 7], [3, 0], [3, 0], [-6, -2], [0, 0], [-1, 2], [9, 6], [-4, -2], [-9, -3], [0, 0], [3, 1], [5, 2], [0, -1], [2, 0], [0, 0]], 'ap': [[0, -1], [1, 0], [0, 0], [1, 0], [-1, 0], [-1, 2], [0, -1], [-4, -1], [0, 3], [3, 0], [-4, -2], [-4, -2], [-3, 3], [-7, 0], [0, 3], [-3, -2], [0, 1], [2, -5], [2, -5], [-3, -3], [2, 2], [-10, 3], [3, 5], [-6, -2], [5, 2], [-6, 2], [-4, -6], [6, -5], [8, 5], [3, 3], [14, -4], [9, -6], [-6, -1], [-4, 6], [-15, 0], [-10, 6], [-4, -1], [-1, -3], [0, -4], [9, -10], [-6, -7], [-7, 0], [-3, 12], [8, 3], [-18, 5], [-16, 9], [-16, -4], [11, -9], [9, -6], [-7, -4], [3, 3], [9, -9], [8, -4], [-15, 0], [-12, -5], [-6, 6], [3, -12], [11, -6], [-10, -3], [12, -3], [2, -7], [9, -12], [-7, 16], [-3, 1], [23, -4], [12, -2], [11, -6], [-19, 4], [-9, 12], [-1, 2], [-21, -1], [12, 1], [26, -6], [-7, 14], [-10, -6], [21, -10], [0, 3], [-10, 11], [24, 1], [-7, 20], [-12, 12], [-7, 4], [3, 11], [11, -2], [-16, -2], [3, 12], [-6, 2], [-1, -18], [-6, 10], [-1, 10], [-24, 9], [-6, -2], [-28, 5], [6, 2], [-22, 9], [-39, 0], [33, -5], [27, -6], [11, 5], [-7, -13], [5, -4], [-27, 9], [24, 9], [15, -16], [8, -2], [11, 5], [-9, 15], [6, 14], [-24, -9], [26, -15], [26, 7], [29, 1], [-15, 9], [-28, -8], [-19, -8], [-6, 15], [20, -3], [33, 6], [18, 11], [-27, -8], [-1, 18], [-10, -1], [24, -6], [-33, -8], [-22, 19], [3, 1], [-4, 11], [-9, -6], [20, -11], [32, 0], [-37, -2], [-6, 11], [-31, 8], [2, -3], [15, 10], [-4, 0], [27, 0], [-13, 0], [0, 6], [33, -12], [-13, 22], [-6, -13], [-25, -10], [15, 5], [-46, -3], [6, 3], [5, -10], [0, -5], [-40, -4], [12, -12], [-37, 4], [-39, 15], [-13, 16], [0, -21], [-7, 4], [-15, 26], [-1, -7], [24, -5], [-7, 6], [-6, 7], [33, -6], [21, -9], [-13, 18], [-9, 12], [-6, 4], [-30, -8], [17, 12], [-13, 1], [-4, -4], [-3, 6], [24, 7], [8, 21], [12, -24], [-10, -7], [11, 21], [-36, 3], [-22, 8], [51, 3], [-37, -8], [53, -8], [20, -2], [-27, 16], [-1, 24], [27, -15], [30, 0], [15, 1], [11, -3], [-13, -10], [-4, 10], [21, -15], [-22, 28], [9, -12], [26, -25], [-15, 22], [9, -12], [-24, -3], [17, -8], [2, -16], [15, 18], [-27, 0], [-39, 18], [-25, 13], [-37, 6], [8, 1], [3, 15], [33, 6], [-4, -2], [0, -7], [-3, 8], [-16, -18], [-28, 26], [36, -4], [8, 12], [-3, -12], [21, -12], [41, 2], [-22, -7], [24, -28], [15, -18], [-18, 12], [20, -13], [35, 16], [12, -18], [-64, 8], [24, -38], [-16, -21], [54, 3], [-33, 28], [53, 3], [24, 14], [-10, 33], [17, 14], [23, -32], [21, -20], [-19, 6], [18, -10], [-19, 8], [18, 1], [-45, 6], [6, 2], [-18, 2], [-55, 2], [-19, -4], [17, 8], [12, -5], [-15, -1], [2, 1], [0, -33], [47, 0], [-3, -30], [-43, -8], [27, 18], [3, 13], [5, -35], [-12, -10], [21, 0], [29, -35], [-22, -4], [24, 7], [38, -3], [-19, -1], [-6, -21], [29, -1], [47, 2], [-24, 18], [-4, -8], [-3, 33], [15, -21], [-52, 2], [18, -16], [5, -7], [-43, 29], [-10, -31], [29, -21], [35, -29], [20, -24], [36, 10], [17, -28], [2, 0], [-3, -22], [-39, 29], [-16, 1], [-12, 7], [-34, 26], [11, -18], [24, -8], [-10, -10], [24, -42], [35, -15], [-21, 38], [30, -26], [-42, -8], [-12, -8], [-12, -6], [20, -11], [66, 3], [-58, -1], [42, -24], [51, 12], [-22, 20], [35, 6], [-21, -16], [-22, 24], [9, -21], [-40, 0], [62, -1], [-45, 8], [-16, 6], [0, -24], [-19, 18], [-18, -7], [30, -28], [69, -6], [14, -15], [21, 10], [-7, -9], [27, -6], [36, -7], [23, -22], [12, -20], [-46, 2], [2, -1], [60, 0], [-10, 32], [-48, 15], [-19, -7], [-61, -7], [17, -3], [12, -33], [6, -2], [-49, 31], [9, 2], [32, 5], [36, 2], [-70, -4], [-27, -16], [8, -37], [-15, 12], [2, -37], [17, 28], [53, -20], [33, -8], [-30, 35], [47, -32], [-6, -34], [-15, 9], [-7, -21], [17, -36], [-9, 36], [0, -20], [5, 24], [23, -24], [-12, 36], [32, -3], [-34, -17], [51, -4], [15, -26], [-9, -10], [-69, 16], [27, -12], [56, -8], [9, 6], [30, -10], [39, -28], [-22, 28], [-22, 23], [39, -8], [-25, 9], [26, -4], [6, 10], [-7, 32], [3, -16], [6, 12], [8, 16], [-37, 5], [-39, -8], [-27, -4], [-67, -10], [12, 5], [47, -19], [-6, 14], [66, -24], [2, -14], [48, 11], [-19, 3], [9, 24], [20, -14], [47, -19], [-13, 25], [-78, 3], [-4, -19], [48, -11], [-54, 28], [32, 26], [-75, -12], [-61, -16], [-19, 2], [18, -6], [-76, 0], [84, 7], [53, -14], [-3, 32], [20, 18], [-27, 38], [69, -16], [35, -34], [-10, 9], [-21, 2], [-37, 26], [-60, 32], [11, -34], [24, -14], [30, -16], [38, 11], [32, 22], [-27, -27], [21, 2], [-49, -6], [-27, 49], [12, 23], [-63, 23], [-52, 30], [57, 14], [-24, -33], [-46, 23], [-15, 2], [-48, -2], [27, 19], [-49, 4], [-9, -10]], 'char_orbit_index': 1, 'field_poly': [-3, -1, 1], 'hecke_orbit_code': 67553994444113797, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '1925.2.a.p', 'level': 1925, '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': [9, 13, 15, 7, 13, 13, 9, 17], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [16, 17, 18, 20, 20, 14, 15, 13], 'Nk2': 7700, 'analytic_conductor': 15.371202389096474, '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': [1925, 1, [1002, 276, 1751], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 229, 'dim': 96, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 3, 13], 'hecke_orbit_code': 33556357, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 4, 6, 6, 7, 7, 7, 7, 8, 8], 'label': '1925.2.a', 'level': 1925, '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': [5, 7, 11], 'level_radical': 385, 'mf_dim': 252, 'mf_new_dim': 96, 'num_forms': 32, 'plus_dim': 38, 'prim_orbit_index': 1, 'relative_dim': 96, 'sturm_bound': 480, 'trace_bound': 13, 'trace_display': [2, 2, 0, 0], 'traces': [96, 2, 2, 106, 0, -4, 0, -6, 102, 0, 4, -4, 16, 4, 0, 126, 12, 34, 12, 0, 0, -2, -6, 28, 0, -44, -10, 0, -24, 0, 18, 10, 2, 20, 0, 158, 30, 16, 0, 0, -12, 16, -8, 10, 0, 24, 16, 64, 96, 0, 36, 8, 0, 24, 0, 12, 12, -28, -10, 0, 36, -76, 0, 142, 0, 0, -26, 48, 6, 0, -18, 42, 36, -20, 0, 88, -4, -16, 28, 0, 96, -20, -32, -28, 0, 80, 52, 6, -50, 0, 0, -36, -50, -148, 0, -68, 26, 2, -18, 0, -120, -24, 0, -92, 0, -60, 60, -44, -76, 0, -18, 32, -14, -136, 0, -44, -40, 4, 24, 0, 96, -68, -12, -36, 0, 44, 12, -6, 8, 0, 20, -24, 0, 8, 0, -140, 2, -24, 124, 0, -56, -72, -4, 86, 0, -212, 2, 112, -104, 0, 92, 72, -32, 4, 0, 8, -6, 24, 36, 0, 0, 90, 32, -136, 0, -16, -44, 40, 144, 0, 216, -8, -88, -152, 0, 6, 2, -36, 62, 0, -10, -36, 36, -96, 0, -48, -8, 112, -12, 0, 134, 104, 24, -28, 0, 106, -24, -18, 80, 0, 58, -60, -16, 24, 0, 124, 84, -24, -4, 0, -4, -84, -126, 16, 0, -112, -8, -68, 140, 0, -168, -56, -86, 68, 0, -356, 24, 56, -74, 0, 12, -60, 64, -228, 0, -44, -20, -12, 32, 0, -56, 2, -8, 32, 0, 16, 56, -12, 120, 0, 94, -8, 14, -64, 0, 214, 72, 16, 24, 0, -228, -104, -4, 56, 0, 40, -18, 4, -40, 0, 48, 56, 24, -44, 0, -244, 28, -104, 68, 0, 36, 56, -16, 28, 0, -16, -24, 26, 64, 0, 98, 56, 20, -4, 0, -60, 50, 100, 176, 0, 8, 48, -24, 248, 0, -4, 16, -12, 88, 0, -48, -136, 134, 36, 0, 264, -134, -56, 8, 0, 100, 0, 64, 186, 0, -120, 40, -36, 20, 0, 210, -200, 48, -32, 0, -68, 80, 150, -38, 0, -38, 40, 0, 248, 0, 12, -84, -168, 140, 0, -64, 30, 30, -288, 0, -184, -8, 56, -64, 0, 248, -68, 2, 40, 0, -168, 106, -176, -16, 0, -24, 44, 84, -40, 0, -172, 40, -16, -102, 0, -76, -128, -6, -476, 0, -92, 40, 88, 34, 0, -76, -6, 12, -4, 0, -122, 72, -4, -112, 0, -80, 120, 72, -280, 0, 32, -38, -160, -36, 0, -134, -48, 64, -152, 0, -164, 36, 48, -64, 0, -56, 0, -152, 44, 0, 256, 0, 112, -16, 0, -104, -48, 58, 24, 0, -76, -100, 40, -140, 0, 102, 112, -74, -620, 0, -324, 4, 64, -274, 0, 24, -120, 124, 96, 0, -760, -12, -44, 332, 0, -148, -4, -82, -412, 0, 28, -42, -72, -32, 0, -70, -28, -32, -520, 0, 16, -12, -200, 72, 0, -160, 68, -28, 106, 0, -292, 154, 52, 120, 0, 172, 24, 32, -56, 0, -128, 48, -24, 48, 0, 124, 220, -40, 20, 0, 88, 94, -152, 14, 0, 64, -166, 148, 20, 0, -208, 44, 48, -240, 0, -54, -28, -120, 80, 0, 240, -84, -76, 182, 0, 84, -16, -32, -120, 0, 152, -142, -68, 4, 0, 100, 160, -98, -76, 0, -80, -40, -176, 192, 0, 8, 24, 56, -212, 0, 88, -48, -396, 16, 0, -12, 60, 8, -240, 0, 232, -48, -328, -64, 0, -120, 28, -30, -20, 0, -42, 90, 286, -204, 0, -48, -72, -8, -540, 0, 164, -160, -4, 308, 0, -180, 260, 28, 56, 0, -36, -64, -168, -48, 0, 88, -32, 140, 528, 0, 0, -236, 96, 24, 0, -272, -152, 196, 64, 0, 12, 56, -296, 82, 0, -14, -132, 12, 160, 0, -556, 28, -56, -108, 0, -286, 144, -36, 116, 0, 208, 16, 12, -532, 0, -218, 48, 134, 136, 0, -16, -58, -30, -82, 0, 144, 0, -146, -192, 0, 0, 8, -56, 52, 0, -46, 216, -16, 352, 0, 396, 84, -16, 166, 0, -64, -24, -12, -76, 0, 494, -12, 88, -36, 0, 360, 56, 24, 320, 0, 4, -330, 120, -104, 0, -130, 152, -12, 144, 0, -160, 0, 372, 180, 0, 332, 24, -36, 14, 0, 92, 0, 292, -18, 0, 136, 124, -114, 128, 0, -164, -136, 104, -374, 0, -28, -38, 56, 392, 0, -4, 18, -132, 288, 0, 288, -88, -152, 500, 0, 160, 26, -140, 172, 0, 352, 16, -16, -560, 0, -164, -72, 68, 32, 0, -74, 448, -166, 192, 0, -432, 56, 192, -174, 0, -288, 264, -48, 28, 0, 332, -8, 208, 8, 0, -92, 84, 88, 456, 0, 332, 76, -164, 336, 0, 66, 0, 204, 126, 0, -40, 132, 92, 500, 0, -96, -82, -40, 116, 0, 104, 130, 64, -24, 0, 16, 68, 32, 452, 0, 528, 20, -76, 144, 0, 228, 16, 64, -20, 0, 440, -24, 28, 48, 0, -192, 40, -22, 148, 0, 24, 64, 320, -94, 0, 8, 8, 12, -112, 0, 104, -38, 212, -70, 0, -208, -124, 104, -48, 0, 12, 0, 188, 312, 0, 246, -252, -60, -316, 0, -192, -248, -16, -306, 0, -40, -200, -248, -1224, 0, 788, 126, 28, 44, 0, 304, -212, 136, -56, 0, 528, -160, -48, 44, 0, -150, 34, -56, -104, 0, -344, 108, 56, 32, 0, -84, 180, -96, 648, 0, 252, -152, 124, -172, 0, -392, -32, 0, -388, 0, 216, -80, -128, -72, 0, 200, -288, -48, 404, 0, -456, 24, 312, 144, 0, 24, 28, 216, 24, 0, -296, -24, -108, -200, 0, 12, 236, 192, -332, 0, -12, -8, 128, 502, 0, 76, -40, -228, 384, 0, -88, 238, -152, -512, 0, -134, -156, -100, -548, 0, 472, -20, -104, -56, 0, 142, -32, 176, -200, 0, 96, -12, -6, 240, 0, 194, -168, -24, 528, 0, -360, 210, 40, 18, 0, -540, -96, -174, 392, 0, 464, -32, 104, -184, 0, 272, -396, -170, 112, 0, 88, -352, 112, 242, 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: 843716
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': True, 'source_label': '1925.2.a.p', 'source_level': 1925, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 16, 'target_is_minimal': True, 'target_label': '1925.2.a.p', 'target_level': 1925, 'twist_class_label': '1925.2.a.p', 'twist_class_level': 1925, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 843717
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': True, 'source_label': '1925.2.a.p', 'source_level': 1925, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 19, 'target_is_minimal': True, 'target_label': '1925.2.a.s', 'target_level': 1925, 'twist_class_label': '1925.2.a.p', 'twist_class_level': 1925, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 843718
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': True, 'source_label': '1925.2.a.p', 'source_level': 1925, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '1925.2.b.i', 'target_level': 1925, 'twist_class_label': '1925.2.a.p', 'twist_class_level': 1925, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2307975
    {'charpoly_factorization': [[[-3, 1, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 2}
  • id: 2307976
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 67553994444113797, 'p': 3}
  • id: 2307977
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444113797, 'p': 5}
  • id: 2307978
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 67553994444113797, 'p': 7}
  • id: 2307979
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 67553994444113797, 'p': 11}
  • id: 2307980
    {'charpoly_factorization': [[[-13, 0, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 13}
  • id: 2307981
    {'charpoly_factorization': [[[-3, 1, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 17}
  • id: 2307982
    {'charpoly_factorization': [[[17, 9, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 19}
  • id: 2307983
    {'charpoly_factorization': [[[-27, -3, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 23}
  • id: 2307984
    {'charpoly_factorization': [[[-3, 1], 2]], 'hecke_orbit_code': 67553994444113797, 'p': 29}
  • id: 2307985
    {'charpoly_factorization': [[[12, 10, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 31}
  • id: 2307986
    {'charpoly_factorization': [[[12, 10, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 37}
  • id: 2307987
    {'charpoly_factorization': [[[-27, 3, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 41}
  • id: 2307988
    {'charpoly_factorization': [[[7, 1], 2]], 'hecke_orbit_code': 67553994444113797, 'p': 43}
  • id: 2307989
    {'charpoly_factorization': [[[-27, -3, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 47}
  • id: 2307990
    {'charpoly_factorization': [[[3, 8, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 53}
  • id: 2307991
    {'charpoly_factorization': [[[-3, -1, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 59}
  • id: 2307992
    {'charpoly_factorization': [[[-81, 1, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 61}
  • id: 2307993
    {'charpoly_factorization': [[[-81, 1, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 67}
  • id: 2307994
    {'charpoly_factorization': [[[-9, 9, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 71}
  • id: 2307995
    {'charpoly_factorization': [[[-4, -6, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 73}
  • id: 2307996
    {'charpoly_factorization': [[[43, 17, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 79}
  • id: 2307997
    {'charpoly_factorization': [[[-51, -11, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 83}
  • id: 2307998
    {'charpoly_factorization': [[[36, 14, 1], 1]], 'hecke_orbit_code': 67553994444113797, 'p': 89}
  • id: 2307999
    {'charpoly_factorization': [[[23, -12, 1], 1]], 'hecke_orbit_code': 67553994444113797, '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': 16, 'label': '1925.2.a.p', 'level': 1925, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 60403453
    {'hecke_orbit_code': 67553994444113797, 'n': 1, 'trace_an': 2}
  • id: 60403454
    {'hecke_orbit_code': 67553994444113797, 'n': 2, 'trace_an': -1}
  • id: 60403455
    {'hecke_orbit_code': 67553994444113797, 'n': 3, 'trace_an': 2}
  • id: 60403456
    {'hecke_orbit_code': 67553994444113797, 'n': 4, 'trace_an': 3}
  • id: 60403457
    {'hecke_orbit_code': 67553994444113797, 'n': 5, 'trace_an': 0}
  • id: 60403458
    {'hecke_orbit_code': 67553994444113797, 'n': 6, 'trace_an': -1}
  • id: 60403459
    {'hecke_orbit_code': 67553994444113797, 'n': 7, 'trace_an': 2}
  • id: 60403460
    {'hecke_orbit_code': 67553994444113797, 'n': 8, 'trace_an': -6}
  • id: 60403461
    {'hecke_orbit_code': 67553994444113797, 'n': 9, 'trace_an': -4}
  • id: 60403462
    {'hecke_orbit_code': 67553994444113797, 'n': 10, 'trace_an': 0}
  • id: 60403463
    {'hecke_orbit_code': 67553994444113797, 'n': 11, 'trace_an': -2}
  • id: 60403464
    {'hecke_orbit_code': 67553994444113797, 'n': 12, 'trace_an': 3}
  • id: 60403465
    {'hecke_orbit_code': 67553994444113797, 'n': 13, 'trace_an': 0}
  • id: 60403466
    {'hecke_orbit_code': 67553994444113797, 'n': 14, 'trace_an': -1}
  • id: 60403467
    {'hecke_orbit_code': 67553994444113797, 'n': 15, 'trace_an': 0}
  • id: 60403468
    {'hecke_orbit_code': 67553994444113797, 'n': 16, 'trace_an': -3}
  • id: 60403469
    {'hecke_orbit_code': 67553994444113797, 'n': 17, 'trace_an': -1}
  • id: 60403470
    {'hecke_orbit_code': 67553994444113797, 'n': 18, 'trace_an': 2}
  • id: 60403471
    {'hecke_orbit_code': 67553994444113797, 'n': 19, 'trace_an': -9}
  • id: 60403472
    {'hecke_orbit_code': 67553994444113797, 'n': 20, 'trace_an': 0}
  • id: 60403473
    {'hecke_orbit_code': 67553994444113797, 'n': 21, 'trace_an': 2}
  • id: 60403474
    {'hecke_orbit_code': 67553994444113797, 'n': 22, 'trace_an': 1}
  • id: 60403475
    {'hecke_orbit_code': 67553994444113797, 'n': 23, 'trace_an': 3}
  • id: 60403476
    {'hecke_orbit_code': 67553994444113797, 'n': 24, 'trace_an': -6}
  • id: 60403477
    {'hecke_orbit_code': 67553994444113797, 'n': 25, 'trace_an': 0}
  • id: 60403478
    {'hecke_orbit_code': 67553994444113797, 'n': 26, 'trace_an': -13}
  • id: 60403479
    {'hecke_orbit_code': 67553994444113797, 'n': 27, 'trace_an': -10}
  • id: 60403480
    {'hecke_orbit_code': 67553994444113797, 'n': 28, 'trace_an': 3}
  • id: 60403481
    {'hecke_orbit_code': 67553994444113797, 'n': 29, 'trace_an': 6}
  • id: 60403482
    {'hecke_orbit_code': 67553994444113797, 'n': 30, 'trace_an': 0}
  • id: 60403483
    {'hecke_orbit_code': 67553994444113797, 'n': 31, 'trace_an': -10}
  • id: 60403484
    {'hecke_orbit_code': 67553994444113797, 'n': 32, 'trace_an': 7}
  • id: 60403485
    {'hecke_orbit_code': 67553994444113797, 'n': 33, 'trace_an': -2}
  • id: 60403486
    {'hecke_orbit_code': 67553994444113797, 'n': 34, 'trace_an': 7}
  • id: 60403487
    {'hecke_orbit_code': 67553994444113797, 'n': 35, 'trace_an': 0}
  • id: 60403488
    {'hecke_orbit_code': 67553994444113797, 'n': 36, 'trace_an': -6}
  • id: 60403489
    {'hecke_orbit_code': 67553994444113797, 'n': 37, 'trace_an': -10}
  • id: 60403490
    {'hecke_orbit_code': 67553994444113797, 'n': 38, 'trace_an': 11}
  • id: 60403491
    {'hecke_orbit_code': 67553994444113797, 'n': 39, 'trace_an': 0}
  • id: 60403492
    {'hecke_orbit_code': 67553994444113797, 'n': 40, 'trace_an': 0}
  • id: 60403493
    {'hecke_orbit_code': 67553994444113797, 'n': 41, 'trace_an': -3}
  • id: 60403494
    {'hecke_orbit_code': 67553994444113797, 'n': 42, 'trace_an': -1}
  • id: 60403495
    {'hecke_orbit_code': 67553994444113797, 'n': 43, 'trace_an': -14}
  • id: 60403496
    {'hecke_orbit_code': 67553994444113797, 'n': 44, 'trace_an': -3}
  • id: 60403497
    {'hecke_orbit_code': 67553994444113797, 'n': 45, 'trace_an': 0}
  • id: 60403498
    {'hecke_orbit_code': 67553994444113797, 'n': 46, 'trace_an': -21}
  • id: 60403499
    {'hecke_orbit_code': 67553994444113797, 'n': 47, 'trace_an': 3}
  • id: 60403500
    {'hecke_orbit_code': 67553994444113797, 'n': 48, 'trace_an': -3}
  • id: 60403501
    {'hecke_orbit_code': 67553994444113797, 'n': 49, 'trace_an': 2}
  • id: 60403502
    {'hecke_orbit_code': 67553994444113797, 'n': 50, 'trace_an': 0}
  • id: 60403503
    {'hecke_orbit_code': 67553994444113797, 'n': 51, 'trace_an': -1}
  • id: 60403504
    {'hecke_orbit_code': 67553994444113797, 'n': 52, 'trace_an': 13}
  • id: 60403505
    {'hecke_orbit_code': 67553994444113797, 'n': 53, 'trace_an': -8}
  • id: 60403506
    {'hecke_orbit_code': 67553994444113797, 'n': 54, 'trace_an': 5}
  • id: 60403507
    {'hecke_orbit_code': 67553994444113797, 'n': 55, 'trace_an': 0}
  • id: 60403508
    {'hecke_orbit_code': 67553994444113797, 'n': 56, 'trace_an': -6}
  • id: 60403509
    {'hecke_orbit_code': 67553994444113797, 'n': 57, 'trace_an': -9}
  • id: 60403510
    {'hecke_orbit_code': 67553994444113797, 'n': 58, 'trace_an': -3}
  • id: 60403511
    {'hecke_orbit_code': 67553994444113797, 'n': 59, 'trace_an': 1}
  • id: 60403512
    {'hecke_orbit_code': 67553994444113797, 'n': 60, 'trace_an': 0}
  • id: 60403513
    {'hecke_orbit_code': 67553994444113797, 'n': 61, 'trace_an': -1}
  • id: 60403514
    {'hecke_orbit_code': 67553994444113797, 'n': 62, 'trace_an': 18}
  • id: 60403515
    {'hecke_orbit_code': 67553994444113797, 'n': 63, 'trace_an': -4}
  • id: 60403516
    {'hecke_orbit_code': 67553994444113797, 'n': 64, 'trace_an': -4}
  • id: 60403517
    {'hecke_orbit_code': 67553994444113797, 'n': 65, 'trace_an': 0}
  • id: 60403518
    {'hecke_orbit_code': 67553994444113797, 'n': 66, 'trace_an': 1}
  • id: 60403519
    {'hecke_orbit_code': 67553994444113797, 'n': 67, 'trace_an': -1}
  • id: 60403520
    {'hecke_orbit_code': 67553994444113797, 'n': 68, 'trace_an': -8}
  • id: 60403521
    {'hecke_orbit_code': 67553994444113797, 'n': 69, 'trace_an': 3}
  • id: 60403522
    {'hecke_orbit_code': 67553994444113797, 'n': 70, 'trace_an': 0}
  • id: 60403523
    {'hecke_orbit_code': 67553994444113797, 'n': 71, 'trace_an': -9}
  • id: 60403524
    {'hecke_orbit_code': 67553994444113797, 'n': 72, 'trace_an': 12}
  • id: 60403525
    {'hecke_orbit_code': 67553994444113797, 'n': 73, 'trace_an': 6}
  • id: 60403526
    {'hecke_orbit_code': 67553994444113797, 'n': 74, 'trace_an': 18}
  • id: 60403527
    {'hecke_orbit_code': 67553994444113797, 'n': 75, 'trace_an': 0}
  • id: 60403528
    {'hecke_orbit_code': 67553994444113797, 'n': 76, 'trace_an': -20}
  • id: 60403529
    {'hecke_orbit_code': 67553994444113797, 'n': 77, 'trace_an': -2}
  • id: 60403530
    {'hecke_orbit_code': 67553994444113797, 'n': 78, 'trace_an': -13}
  • id: 60403531
    {'hecke_orbit_code': 67553994444113797, 'n': 79, 'trace_an': -17}
  • id: 60403532
    {'hecke_orbit_code': 67553994444113797, 'n': 80, 'trace_an': 0}
  • id: 60403533
    {'hecke_orbit_code': 67553994444113797, 'n': 81, 'trace_an': 2}
  • id: 60403534
    {'hecke_orbit_code': 67553994444113797, 'n': 82, 'trace_an': -18}
  • id: 60403535
    {'hecke_orbit_code': 67553994444113797, 'n': 83, 'trace_an': 11}
  • id: 60403536
    {'hecke_orbit_code': 67553994444113797, 'n': 84, 'trace_an': 3}
  • id: 60403537
    {'hecke_orbit_code': 67553994444113797, 'n': 85, 'trace_an': 0}
  • id: 60403538
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  • id: 60403539
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  • id: 60403540
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  • id: 60403541
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  • id: 60403542
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  • id: 60403543
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  • id: 60403544
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  • id: 60403545
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  • id: 60403546
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  • id: 60403547
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  • id: 60403548
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  • id: 60403549
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  • id: 60403550
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  • id: 60403551
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  • id: 60403552
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  • id: 60403553
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  • id: 60403554
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  • id: 60403555
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  • id: 60403556
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  • id: 60403557
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  • id: 60403558
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  • id: 60403559
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  • id: 60403560
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  • id: 60403561
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  • id: 60403562
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  • id: 60403563
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  • id: 60403564
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  • id: 60403565
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  • id: 60403566
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  • id: 60403567
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  • id: 60403568
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  • id: 60403569
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  • id: 60403570
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  • id: 60403571
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  • id: 60403572
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  • id: 60403573
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  • id: 60403574
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  • id: 60403575
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  • id: 60403576
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  • id: 60403577
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  • id: 60403578
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  • id: 60403579
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  • id: 60403580
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  • id: 60403581
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  • id: 60403582
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  • id: 60403583
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  • id: 60403584
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  • id: 60403585
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  • id: 60403586
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  • id: 60403587
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  • id: 60403588
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  • id: 60403589
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  • id: 60403590
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  • id: 60403591
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  • id: 60403592
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  • id: 60403593
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  • id: 60403594
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  • id: 60403595
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  • id: 60403596
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  • id: 60403597
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  • id: 60403598
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  • id: 60403599
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  • id: 60403600
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  • id: 60403601
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  • id: 60403602
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  • id: 60403603
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  • id: 60403604
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  • id: 60403605
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  • id: 60403606
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  • id: 60403607
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  • id: 60403608
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  • id: 60403609
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  • id: 60403610
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  • id: 60403611
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  • id: 60403612
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  • id: 60403613
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  • id: 60403614
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  • id: 60403615
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  • id: 60403616
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  • id: 60403617
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  • id: 60403618
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  • id: 60403619
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  • id: 60403620
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  • id: 60403621
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  • id: 60403622
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  • id: 60403623
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  • id: 60403624
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  • id: 60403625
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  • id: 60403626
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  • id: 60403627
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  • id: 60403628
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  • id: 60403629
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  • id: 60403630
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  • id: 60403631
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  • id: 60403632
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  • id: 60403633
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  • id: 60403634
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  • id: 60403635
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  • id: 60403636
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  • id: 60403637
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  • id: 60403638
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  • id: 60403639
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  • id: 60403640
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  • id: 60403641
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  • id: 60403642
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  • id: 60403643
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  • id: 60403644
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  • id: 60403645
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  • id: 60403646
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  • id: 60403647
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  • id: 60403648
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  • id: 60403649
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  • id: 60403650
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  • id: 60403651
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  • id: 60403652
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  • id: 60403653
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  • id: 60403654
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  • id: 60403655
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  • id: 60403656
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  • id: 60403657
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  • id: 60403658
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  • id: 60403659
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  • id: 60403660
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  • id: 60403661
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  • id: 60403662
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  • id: 60403663
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  • id: 60403664
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  • id: 60403665
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  • id: 60403666
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  • id: 60403667
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  • id: 60403668
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  • id: 60403669
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  • id: 60403670
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  • id: 60403671
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  • id: 60403672
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  • id: 60403673
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  • id: 60403674
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  • id: 60403675
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  • id: 60403676
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  • id: 60403677
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  • id: 60403678
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  • id: 60403679
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  • id: 60403680
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  • id: 60403681
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  • id: 60403682
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  • id: 60403683
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  • id: 60403684
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  • id: 60403685
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  • id: 60403686
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  • id: 60403687
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  • id: 60403688
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  • id: 60403689
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  • id: 60403690
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  • id: 60403691
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  • id: 60403692
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  • id: 60403693
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  • id: 60403694
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  • id: 60403696
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  • id: 60403697
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  • id: 60403698
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  • id: 60403699
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  • id: 60403700
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  • id: 60403701
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  • id: 60403702
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  • id: 60403703
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  • id: 60403704
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  • id: 60403705
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  • id: 60403706
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  • id: 60403707
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  • id: 60403708
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  • id: 60403709
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  • id: 60403710
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