Embedded newform data - 3024.2.bf.h.1711.7

Formats: - HTML - YAML - JSON - 2025-02-11T14:41:59.150005

• 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': 12096, 'analytic_conductor': 24.14676157123519, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 252, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 32, 'char_orbit_label': 'bf', 'char_order': 6, 'char_parity': 1, 'char_values': [3024, 6, [1135, 757, 785, 2593], [3, 6, 2, 1]], 'cm_discs': [], 'conrey_index': 1711, 'dim': 24, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [4782969, 0, 77500719, 0, 235013562, 0, 294187707, 0, 200633274, 0, 84301560, 0, 23208228, 0, 4308822, 0, 542673, 0, 45612, 0, 2442, 0, 75, 0, 1]], [19, [572426914921, -45339352414, 1669337567093, -1945352987544, 4406057599594, -3466530623249, 3499154121716, -2095215093990, 1629269817477, -801880665321, 404184762405, -119325290010, 36227384559, -6473133411, 1649044233, -225543909, 52113390, -5030127, 1094366, -77756, 16894, -738, 161, -4, 1]]], 'hecke_orbit': 8, 'hecke_orbit_code': 31527327728929744, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 252, 14, 1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '3024.2.bf.h', 'level': 3024, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '1008.2.bf.g', 'prim_orbit_index': 14, 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3024.2.bf', 'trace_display': [0, 0, 0, 8], 'traces': [24, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 4, 0, 0, 0, 0, 0, -30, 0, 0, 0, -18, 0, 17, 0, 0, 0, -42, 0, -3, 0, 0, 0, 36, 0, 24, 0, 0, 0, 21, 0, -24, 0, 0, 0, 12, 0, 30, 0, 0, 0, 6, 0, -48, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 48, 0, 0, 0, -36, 0, -30, 0, 0, 0, -48, 0, -21, 0, 0, 0, -39, 0, -9, 0, 0, 0, 33, 0, -3, 0, 0, 0, 0, 0, 68, 0, 0, 0, -3, 0, 0, 0, 0, 0, -33, 0, -54, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, -15, 0, 0, 0, -30, 0, 50, 0, 0, 0, 66, 0, 27, 0, 0, 0, -60, 0, 0, 0, 0, 0, 120, 0, 57, 0, 0, 0, 21, 0, 30, 0, 0, 0, -30, 0, 21, 0, 0, 0, -36, 0, -2, 0, 0, 0, 6, 0, 0, 0, 0, 0, 33, 0, -30, 0, 0, 0, -27, 0, -21, 0, 0, 0, 6, 0, -47, 0, 0, 0, 78, 0, 24, 0, 0, 0, -87, 0, 81, 0, 0, 0, -93, 0, -45, 0, 0, 0, -48, 0, -23, 0, 0, 0, -30, 0, 0, 0, 0, 0, 84, 0, -126, 0, 0, 0, -60, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 24, 0, 6, 0, 0, 0, 0, 0, 74, 0, 0, 0, 0, 0, 18, 0, 0, 0, -18, 0, 35, 0, 0, 0, 0, 0, 48, 0, 0, 0, -48, 0, 1, 0, 0, 0, -117, 0, 9, 0, 0, 0, 63, 0, 45, 0, 0, 0, -78, 0, 15, 0, 0, 0, 21, 0, 64, 0, 0, 0, 51, 0, -27, 0, 0, 0, -18, 0, -54, 0, 0, 0, 0, 0, -111, 0, 0, 0, -123, 0, 93, 0, 0, 0, -105, 0, 33, 0, 0, 0, -30, 0, 95, 0, 0, 0, 81, 0, 135, 0, 0, 0, 0, 0, -84, 0, 0, 0, 39, 0, -78, 0, 0, 0, -69, 0, -20, 0, 0, 0, 84, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, -57, 0, 0, 0, 240, 0, -33, 0, 0, 0, 108, 0, 51, 0, 0, 0, 252, 0, 0, 0, 0, 0, 99, 0, 18, 0, 0, 0, 39, 0, 45, 0, 0, 0, -147, 0, 30, 0, 0, 0, 24, 0, -93, 0, 0, 0, 6, 0, 0, 0, 0, 0, -144, 0, 7, 0, 0, 0, -132, 0, 63, 0, 0, 0, 222, 0, -78, 0, 0, 0, -9, 0, -87, 0, 0, 0, -12, 0, -84, 0, 0, 0, -78, 0, -99, 0, 0, 0, -3, 0, 80, 0, 0, 0, -12, 0, 0, 0, 0, 0, -87, 0, -24, 0, 0, 0, -240, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 264, 0, -60, 0, 0, 0, 0, 0, -81, 0, 0, 0, 0, 0, -27, 0, 0, 0, -138, 0, 23, 0, 0, 0, 0, 0, -36, 0, 0, 0, -27, 0, -24, 0, 0, 0, -81, 0, 69, 0, 0, 0, 24, 0, -111, 0, 0, 0, -177, 0, 0, 0, 0, 0, 0, 0, -30, 0, 0, 0, -42, 0, 54, 0, 0, 0, 6, 0, -132, 0, 0, 0, 0, 0, 123, 0, 0, 0, -102, 0, 90, 0, 0, 0, -81, 0, -15, 0, 0, 0, -186, 0, -24, 0, 0, 0, -24, 0, -87, 0, 0, 0, 0, 0, -194, 0, 0, 0, 153, 0, 45, 0, 0, 0, -99, 0, -16, 0, 0, 0, 27, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 180, 0, 150, 0, 0, 0, 36, 0, 7, 0, 0, 0, 15, 0, -99, 0, 0, 0, -168, 0, 0, 0, 0, 0, 201, 0, -111, 0, 0, 0, 186, 0, -18, 0, 0, 0, -147, 0, 6, 0, 0, 0, 213, 0, -42, 0, 0, 0, 33, 0, 0, 0, 0, 0, 144, 0, -25, 0, 0, 0, 24, 0, 39, 0, 0, 0, 354, 0, 169, 0, 0, 0, -42, 0, 66, 0, 0, 0, -63, 0, -90, 0, 0, 0, -24, 0, 63, 0, 0, 0, -48, 0, 44, 0, 0, 0, -180, 0, 0, 0, 0, 0, 54, 0, -63, 0, 0, 0, -324, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 342, 0, -48, 0, 0, 0, 0, 0, -86, 0, 0, 0, 0, 0, 84, 0, 0, 0, 90, 0, -74, 0, 0, 0, 0, 0, 120, 0, 0, 0, -132, 0, 56, 0, 0, 0, -246, 0, -87, 0, 0, 0, 234, 0, 9, 0, 0, 0, -141, 0, 171, 0, 0, 0, 24, 0, -64, 0, 0, 0, 132, 0, -84, 0, 0, 0, -60, 0, 108, 0, 0, 0, 0, 0, 66, 0, 0, 0, -69, 0, -72, 0, 0, 0, -171, 0, -24, 0, 0, 0, -219, 0, -74, 0, 0, 0, 51, 0, 69, 0, 0, 0, 0, 0, 172, 0, 0, 0, 117, 0, 48, 0, 0, 0, -90, 0, 48, 0, 0, 0, 273, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, -3, 0, 0, 0, 120, 0, -21, 0, 0, 0, 6, 0, -90, 0, 0, 0, -102, 0, 0, 0, 0, 0, 306, 0, 81, 0, 0, 0, -117, 0, -156, 0, 0, 0, -207, 0, -90, 0, 0, 0, 231, 0, 139, 0, 0, 0, -225, 0, 0, 0, 0, 0, 210, 0, -87, 0, 0, 0, 123, 0, 12, 0, 0, 0, 258, 0, -12, 0, 0, 0, 84, 0, -51, 0, 0, 0, -399, 0, -87, 0, 0, 0, -93, 0, 24, 0, 0, 0, 3, 0, -45, 0, 0, 0, -258, 0, 0, 0, 0, 0, 0, 0, 21, 0, 0, 0, -429, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 384, 0, 294, 0, 0, 0, 0, 0, -9, 0, 0, 0, 0, 0, -108, 0, 0, 0, -153, 0, 45, 0, 0, 0, 0, 0, 180, 0, 0, 0, -174, 0, 58, 0, 0, 0, -327, 0, -75, 0, 0, 0, 72, 0, 36, 0, 0, 0, -174, 0, -12, 0, 0, 0, -138, 0, 38, 0, 0, 0, 120, 0, -51, 0, 0, 0, -33, 0, 156, 0, 0, 0, 0, 0, -63, 0, 0, 0, -120, 0, -39, 0, 0, 0, -135, 0, -57, 0, 0, 0, -216, 0, 0, 0, 0, 0, 261, 0, -63, 0, 0, 0, 0, 0, -6, 0, 0, 0, 33, 0, 21, 0, 0, 0, -18, 0, -100, 0, 0, 0, 363, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, -30, 0, -112, 0, 0, 0, 117, 0, -57, 0, 0, 0, 84, 0, 0, 0, 0, 0, 432, 0, -162, 0, 0, 0, 3, 0, 159, 0, 0, 0, -138, 0, -99, 0, 0, 0, 0, 0, -106, 0, 0, 0, -309, 0, 0, 0, 0, 0, 42, 0, 93, 0, 0, 0, -207, 0, 3, 0, 0, 0, 222, 0, -3, 0, 0, 0, -63, 0, -63, 0, 0, 0, -78, 0, 63, 0, 0, 0, -165, 0, 192, 0, 0, 0, -81, 0, -113, 0, 0, 0, -360, 0, 0, 0, 0, 0, 54, 0, 360, 0, 0, 0, -315, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 546, 0, 18, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, -159, 0, 0, 0, 141, 0, -89, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -83, 0, 0, 0, -372, 0, 168, 0, 0, 0, 270, 0, 87, 0, 0, 0, -72, 0, 48, 0, 0, 0, 3, 0, -114, 0, 0, 0, 159, 0, 204, 0, 0, 0, -36, 0, 120, 0, 0, 0, 0, 0, -159, 0, 0, 0, -348, 0, 159, 0, 0, 0, -300, 0, -27, 0, 0, 0, -309, 0, -247, 0, 0, 0, 138, 0, -387, 0, 0, 0, 0, 0, -162, 0, 0, 0, 69, 0, 33, 0, 0, 0, -15, 0, 282, 0, 0, 0, 390, 0, 42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 276, 0, -117, 0, 0, 0, 180, 0, 113, 0, 0, 0, 33, 0, 252, 0, 0, 0, 246, 0, 0, 0, 0, 0, 447, 0, 66, 0, 0, 0, -141, 0, 75, 0, 0, 0, -255, 0, 57, 0, 0, 0, 39, 0, 27, 0, 0, 0, -333, 0, 0, 0, 0, 0, -15, 0, 62, 0, 0, 0, 30, 0, -120, 0, 0, 0, 84, 0, 142, 0, 0, 0, 243, 0, -96, 0, 0, 0, -261, 0, 231, 0, 0, 0, -186, 0, -72, 0, 0, 0, 120, 0, -71, 0, 0, 0, -156, 0, 0, 0, 0, 0, -147, 0, -27, 0, 0, 0, -330, 0, 0, 0, 0, 0, 138, 0, 0, 0, 0, 0, 306, 0, -282, 0, 0, 0, 0, 0, -82, 0, 0, 0, 0, 0, 228, 0, 0, 0, -501, 0, 5, 0, 0, 0, 0, 0, 228, 0, 0, 0, -183, 0, -35, 0, 0, 0, -453, 0, 93, 0, 0, 0, 3, 0, -9, 0, 0, 0, -159, 0, 87, 0, 0, 0, -168, 0, 128, 0, 0, 0, 198, 0, -246, 0, 0, 0, 66, 0, 75, 0, 0, 0, 0, 0, -72, 0, 0, 0, -144, 0, -177, 0, 0, 0, -288, 0, 180, 0, 0, 0, -102, 0, 327, 0, 0, 0, -21, 0, 132, 0, 0, 0, 0, 0, 438, 0, 0, 0, 90, 0, -24, 0, 0, 0, -201, 0, 196, 0, 0, 0, 420, 0, -162, 0, 0, 0, 0, 0, 0, 0, 0, 0, 390, 0, -105, 0, 0, 0, -360, 0, -99, 0, 0, 0, -15, 0, -174, 0, 0, 0, 342, 0, 0, 0, 0, 0, 411, 0, -204, 0, 0, 0, 90, 0, -348, 0, 0, 0, -162, 0, 162, 0, 0, 0, 213, 0, 480, 0, 0, 0, -279, 0, 0, 0, 0, 0, 312, 0, -10, 0, 0, 0, -162, 0, -102, 0, 0, 0, 330, 0, -63, 0, 0, 0, 54, 0, -33, 0, 0, 0, 66, 0, -48, 0, 0, 0, -273, 0, -30, 0, 0, 0, -231, 0, 6, 0, 0, 0, -60, 0, 0, 0, 0, 0, -18, 0, 48, 0, 0, 0, -321, 0, 0, 0, 0, 0, 249, 0, 0, 0, 0, 0, 660, 0, -78, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 66, 0, 0, 0, 189, 0, 164, 0, 0, 0, 0, 0, -162, 0, 0, 0, -114, 0, 69, 0, 0, 0, -246, 0, -168, 0, 0, 0, 693, 0, 174, 0, 0, 0, -156, 0, -135, 0, 0, 0, 96, 0, -306, 0, 0, 0, 54, 0, -120, 0, 0, 0, -276, 0, 27, 0, 0, 0, 0, 0, 27, 0, 0, 0, -165, 0, 270, 0, 0, 0, -198, 0, 72, 0, 0, 0, -33, 0, 72, 0, 0, 0, -27, 0, 195, 0, 0, 0, 0, 0, -148, 0, 0, 0, -84, 0, 39, 0, 0, 0, -288, 0, -304, 0, 0, 0, 180, 0, 438, 0, 0, 0, 0, 0, 0, 0, 0, 0, 534, 0, 87, 0, 0, 0, 126, 0, 84, 0, 0, 0, 9, 0, -252, 0, 0, 0, -180, 0, 0, 0, 0, 0, 654, 0, 243, 0, 0, 0, -102, 0, -9, 0, 0, 0, -315, 0, 120, 0, 0, 0, 288, 0, -259, 0, 0, 0, -324, 0, 0, 0, 0, 0, 285, 0, 190, 0, 0, 0, 81, 0, -36, 0, 0, 0, 54, 0, 81, 0, 0, 0, 0, 0, 48, 0, 0, 0, -720, 0, 246, 0, 0, 0, -117, 0, 33, 0, 0, 0, 21, 0, -91, 0, 0, 0, -288, 0, 0, 0, 0, 0, -21, 0, 273, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.12551703870686842], [0.0, 0.0], [-0.062240841138072996, -0.998061159295574], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.8508686572855347], [0.0, 0.0], [-1.1286905857963565, -0.6516498135413229], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.697873966445611, 0.9802679915774312], [0.0, 0.0], [0.1088127616858897, 0.18846923175184505], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.08183475525448067], [0.0, 0.0], [0.9842454729942585, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.2806741568094899, -0.48614189996559076], [0.0, 0.0], [-0.1910183680048732, -0.3308535185633296], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.12527368116312454, 0.007812286066275557], [0.0, 0.0], [-0.40024230679597705, -0.6932400107092025], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.07480568667649622, 0.043189083339589894], [0.0, 0.0], [0.6534799258122413, -0.37728681107771417], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.20338671084258736, 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-0.4034404492783057, 0.23118839679570316, -0.4050230164744825, 0.014967152355844728, -0.3475129135834238, -0.43956073125591005, -0.2757644734936162, -0.3625507877093174, -0.45700244832918835, -0.2176133799263731, -0.3439335711830791, -0.19288094370497702, 0.3449061454040186, -0.05917246072029676, -0.019389539368454948, 0.064973723180859, -0.27478390779689366, -0.4359551437763082, -0.48405918099721906, -0.45089486801011586, -0.017564885252787783, -0.3774303108926689, -0.3249138516969713, -0.11538658403179179, -0.4231153558381274, -0.06660938185764931, -0.21359986831124378, -0.4861516461258012, -0.41396070784578526, -0.1656892618648357, -0.37448933952840424, -0.42447746494539473, 0.23580074836227635, -0.2800288248197808, -0.37851556742445486, -0.14902131209898647, -0.36415839651196086, -0.47327614688747605, -0.4516348037114151, 0.044897193256379093, -0.318846018624331, 0.17058639972876097, -0.3588675462803419, -0.49279208945911107, -0.07939647061204239, -0.4853563999325377, -0.07467033345011655, -0.24953679563210562], 'char_orbit_index': 32, 'conrey_index': 1711, 'dual_conrey_index': 2287, 'dual_embedding_index': 6, 'dual_embedding_m': 18, 'embedding_index': 7, 'embedding_m': 7, 'hecke_orbit': 8, 'hecke_orbit_code': 31527327728929744, 'label': '3024.2.bf.h.1711.7', 'level': 3024, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 12096, 'analytic_conductor': 24.14676157123519, 'char_conductor': 252, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 32, 'char_orbit_label': 'bf', 'char_order': 6, 'char_parity': 1, 'char_values': [3024, 6, [1135, 757, 785, 2593], [3, 6, 2, 1]], 'conrey_index': 1711, 'cusp_dim': 1080, 'dim': 96, 'eis_dim': 144, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 19], 'hecke_orbit_code': 2130337336272, 'hecke_orbit_dims': [2, 2, 2, 2, 4, 4, 24, 24, 32], 'label': '3024.2.bf', 'level': 3024, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 1224, 'mf_new_dim': 96, 'num_forms': 9, 'prim_orbit_index': 14, 'relative_dim': 48, 'sturm_bound': 1152, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -444, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, -504, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 46427403
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 1711, 'target_dim': 24, 'target_embedding_index': 7, 'target_hecke_orbit_code': 31527327728929744, 'target_is_minimal': False, 'target_label': '3024.2.bf.h.1711.7', 'target_level': 3024, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46427404
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 31, 'target_dim': 24, 'target_embedding_index': 9, 'target_hecke_orbit_code': 27023728101557232, 'target_is_minimal': True, 'target_label': '1008.2.bf.g.31.9', 'target_level': 1008, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46427405
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 1711, 'target_dim': 24, 'target_embedding_index': 7, 'target_hecke_orbit_code': 27023728101559248, 'target_is_minimal': False, 'target_label': '3024.2.bf.g.1711.7', 'target_level': 3024, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46427406
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 1279, 'target_dim': 24, 'target_embedding_index': 6, 'target_hecke_orbit_code': 31530488824859600, 'target_is_minimal': False, 'target_label': '3024.2.cz.h.1279.6', 'target_level': 3024, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46427407
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 367, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 31530488824857584, 'target_is_minimal': True, 'target_label': '1008.2.cz.h.367.8', 'target_level': 1008, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46427408
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 2719, 'target_dim': 24, 'target_embedding_index': 6, 'target_hecke_orbit_code': 27026889197489104, 'target_is_minimal': False, 'target_label': '3024.2.cz.g.2719.6', 'target_level': 3024, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 46427409
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 31, 'target_dim': 24, 'target_embedding_index': 4, 'target_hecke_orbit_code': 31527327728927728, 'target_is_minimal': True, 'target_label': '1008.2.bf.h.31.4', 'target_level': 1008, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46427410
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 607, 'target_dim': 24, 'target_embedding_index': 5, 'target_hecke_orbit_code': 27026889197487088, 'target_is_minimal': True, 'target_label': '1008.2.cz.g.607.5', 'target_level': 1008, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46427411
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 1279, 'target_dim': 24, 'target_embedding_index': 6, 'target_hecke_orbit_code': 27026889197489104, 'target_is_minimal': False, 'target_label': '3024.2.cz.g.1279.6', 'target_level': 3024, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '28.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 46427412
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 2719, 'target_dim': 24, 'target_embedding_index': 6, 'target_hecke_orbit_code': 31530488824859600, 'target_is_minimal': False, 'target_label': '3024.2.cz.h.2719.6', 'target_level': 3024, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 46427413
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 367, 'target_dim': 24, 'target_embedding_index': 5, 'target_hecke_orbit_code': 27026889197487088, 'target_is_minimal': True, 'target_label': '1008.2.cz.g.367.5', 'target_level': 1008, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46427414
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 943, 'target_dim': 24, 'target_embedding_index': 4, 'target_hecke_orbit_code': 31527327728927728, 'target_is_minimal': True, 'target_label': '1008.2.bf.h.943.4', 'target_level': 1008, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '63.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 46427415
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 2287, 'target_dim': 24, 'target_embedding_index': 6, 'target_hecke_orbit_code': 27023728101559248, 'target_is_minimal': False, 'target_label': '3024.2.bf.g.2287.6', 'target_level': 3024, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '63.61', 'twisting_conrey_index': 61, 'weight': 2}
  • id: 46427416
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 607, 'target_dim': 24, 'target_embedding_index': 8, 'target_hecke_orbit_code': 31530488824857584, 'target_is_minimal': True, 'target_label': '1008.2.cz.h.607.8', 'target_level': 1008, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '84.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 46427417
    {'conductor': 252, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 943, 'target_dim': 24, 'target_embedding_index': 9, 'target_hecke_orbit_code': 27023728101557232, 'target_is_minimal': True, 'target_label': '1008.2.bf.g.943.9', 'target_level': 1008, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '252.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 46427418
    {'conductor': 252, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1711, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 31527327728929744, 'source_is_minimal': False, 'source_label': '3024.2.bf.h.1711.7', 'source_level': 3024, 'target_conrey_index': 2287, 'target_dim': 24, 'target_embedding_index': 6, 'target_hecke_orbit_code': 31527327728929744, 'target_is_minimal': False, 'target_label': '3024.2.bf.h.2287.6', 'target_level': 3024, 'twist_class_label': '1008.2.bf.g.31.9', 'twist_class_level': 1008, 'twisting_char_label': '252.187', 'twisting_conrey_index': 187, 'weight': 2}
• hecke_orbit_code 31527327728929744 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 32, 'hecke_orbit': 8, 'label': '3024.2.bf.h', 'level': 3024, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 50258893
    {'hecke_orbit_code': 31527327728929744, 'n': 1, 'trace_an': 24}
  • id: 50258894
    {'hecke_orbit_code': 31527327728929744, 'n': 2, 'trace_an': 0}
  • id: 50258895
    {'hecke_orbit_code': 31527327728929744, 'n': 3, 'trace_an': 0}
  • id: 50258896
    {'hecke_orbit_code': 31527327728929744, 'n': 4, 'trace_an': 0}
  • id: 50258897
    {'hecke_orbit_code': 31527327728929744, 'n': 5, 'trace_an': 0}
  • id: 50258898
    {'hecke_orbit_code': 31527327728929744, 'n': 6, 'trace_an': 0}
  • id: 50258899
    {'hecke_orbit_code': 31527327728929744, 'n': 7, 'trace_an': 8}
  • id: 50258900
    {'hecke_orbit_code': 31527327728929744, 'n': 8, 'trace_an': 0}
  • id: 50258901
    {'hecke_orbit_code': 31527327728929744, 'n': 9, 'trace_an': 0}
  • id: 50258902
    {'hecke_orbit_code': 31527327728929744, 'n': 10, 'trace_an': 0}
  • id: 50258903
    {'hecke_orbit_code': 31527327728929744, 'n': 11, 'trace_an': 0}
  • id: 50258904
    {'hecke_orbit_code': 31527327728929744, 'n': 12, 'trace_an': 0}
  • id: 50258905
    {'hecke_orbit_code': 31527327728929744, 'n': 13, 'trace_an': 3}
  • id: 50258906
    {'hecke_orbit_code': 31527327728929744, 'n': 14, 'trace_an': 0}
  • id: 50258907
    {'hecke_orbit_code': 31527327728929744, 'n': 15, 'trace_an': 0}
  • id: 50258908
    {'hecke_orbit_code': 31527327728929744, 'n': 16, 'trace_an': 0}
  • id: 50258909
    {'hecke_orbit_code': 31527327728929744, 'n': 17, 'trace_an': 3}
  • id: 50258910
    {'hecke_orbit_code': 31527327728929744, 'n': 18, 'trace_an': 0}
  • id: 50258911
    {'hecke_orbit_code': 31527327728929744, 'n': 19, 'trace_an': 4}
  • id: 50258912
    {'hecke_orbit_code': 31527327728929744, 'n': 20, 'trace_an': 0}
  • id: 50258913
    {'hecke_orbit_code': 31527327728929744, 'n': 21, 'trace_an': 0}
  • id: 50258914
    {'hecke_orbit_code': 31527327728929744, 'n': 22, 'trace_an': 0}
  • id: 50258915
    {'hecke_orbit_code': 31527327728929744, 'n': 23, 'trace_an': 0}
  • id: 50258916
    {'hecke_orbit_code': 31527327728929744, 'n': 24, 'trace_an': 0}
  • id: 50258917
    {'hecke_orbit_code': 31527327728929744, 'n': 25, 'trace_an': -30}
  • id: 50258918
    {'hecke_orbit_code': 31527327728929744, 'n': 26, 'trace_an': 0}
  • id: 50258919
    {'hecke_orbit_code': 31527327728929744, 'n': 27, 'trace_an': 0}
  • id: 50258920
    {'hecke_orbit_code': 31527327728929744, 'n': 28, 'trace_an': 0}
  • id: 50258921
    {'hecke_orbit_code': 31527327728929744, 'n': 29, 'trace_an': -18}
  • id: 50258922
    {'hecke_orbit_code': 31527327728929744, 'n': 30, 'trace_an': 0}
  • id: 50258923
    {'hecke_orbit_code': 31527327728929744, 'n': 31, 'trace_an': 17}
  • id: 50258924
    {'hecke_orbit_code': 31527327728929744, 'n': 32, 'trace_an': 0}
  • id: 50258925
    {'hecke_orbit_code': 31527327728929744, 'n': 33, 'trace_an': 0}
  • id: 50258926
    {'hecke_orbit_code': 31527327728929744, 'n': 34, 'trace_an': 0}
  • id: 50258927
    {'hecke_orbit_code': 31527327728929744, 'n': 35, 'trace_an': -42}
  • id: 50258928
    {'hecke_orbit_code': 31527327728929744, 'n': 36, 'trace_an': 0}
  • id: 50258929
    {'hecke_orbit_code': 31527327728929744, 'n': 37, 'trace_an': -3}
  • id: 50258930
    {'hecke_orbit_code': 31527327728929744, 'n': 38, 'trace_an': 0}
  • id: 50258931
    {'hecke_orbit_code': 31527327728929744, 'n': 39, 'trace_an': 0}
  • id: 50258932
    {'hecke_orbit_code': 31527327728929744, 'n': 40, 'trace_an': 0}
  • id: 50258933
    {'hecke_orbit_code': 31527327728929744, 'n': 41, 'trace_an': 36}
  • id: 50258934
    {'hecke_orbit_code': 31527327728929744, 'n': 42, 'trace_an': 0}
  • id: 50258935
    {'hecke_orbit_code': 31527327728929744, 'n': 43, 'trace_an': 24}
  • id: 50258936
    {'hecke_orbit_code': 31527327728929744, 'n': 44, 'trace_an': 0}
  • id: 50258937
    {'hecke_orbit_code': 31527327728929744, 'n': 45, 'trace_an': 0}
  • id: 50258938
    {'hecke_orbit_code': 31527327728929744, 'n': 46, 'trace_an': 0}
  • id: 50258939
    {'hecke_orbit_code': 31527327728929744, 'n': 47, 'trace_an': 21}
  • id: 50258940
    {'hecke_orbit_code': 31527327728929744, 'n': 48, 'trace_an': 0}
  • id: 50258941
    {'hecke_orbit_code': 31527327728929744, 'n': 49, 'trace_an': -24}
  • id: 50258942
    {'hecke_orbit_code': 31527327728929744, 'n': 50, 'trace_an': 0}
  • id: 50258943
    {'hecke_orbit_code': 31527327728929744, 'n': 51, 'trace_an': 0}
  • id: 50258944
    {'hecke_orbit_code': 31527327728929744, 'n': 52, 'trace_an': 0}
  • id: 50258945
    {'hecke_orbit_code': 31527327728929744, 'n': 53, 'trace_an': 12}
  • id: 50258946
    {'hecke_orbit_code': 31527327728929744, 'n': 54, 'trace_an': 0}
  • id: 50258947
    {'hecke_orbit_code': 31527327728929744, 'n': 55, 'trace_an': 30}
  • id: 50258948
    {'hecke_orbit_code': 31527327728929744, 'n': 56, 'trace_an': 0}
  • id: 50258949
    {'hecke_orbit_code': 31527327728929744, 'n': 57, 'trace_an': 0}
  • id: 50258950
    {'hecke_orbit_code': 31527327728929744, 'n': 58, 'trace_an': 0}
  • id: 50258951
    {'hecke_orbit_code': 31527327728929744, 'n': 59, 'trace_an': 6}
  • id: 50258952
    {'hecke_orbit_code': 31527327728929744, 'n': 60, 'trace_an': 0}
  • id: 50258953
    {'hecke_orbit_code': 31527327728929744, 'n': 61, 'trace_an': -48}
  • id: 50258954
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  • id: 50258955
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  • id: 50258956
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  • id: 50258957
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  • id: 50258958
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  • id: 50258959
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  • id: 50258960
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  • id: 50258961
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  • id: 50258962
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  • id: 50258963
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  • id: 50258964
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  • id: 50258965
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  • id: 50258966
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  • id: 50258967
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  • id: 50258968
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  • id: 50258969
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  • id: 50258970
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  • id: 50258971
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  • id: 50258972
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  • id: 50258973
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  • id: 50258974
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  • id: 50258975
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  • id: 50258976
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  • id: 50258977
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  • id: 50258978
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  • id: 50258979
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  • id: 50258980
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  • id: 50258981
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  • id: 50258982
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  • id: 50258983
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  • id: 50258984
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  • id: 50258985
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  • id: 50258986
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  • id: 50258987
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  • id: 50258988
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  • id: 50258989
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  • id: 50258990
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  • id: 50258991
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  • id: 50258992
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  • id: 50258993
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  • id: 50258994
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  • id: 50258995
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  • id: 50258996
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  • id: 50258997
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  • id: 50258998
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  • id: 50258999
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  • id: 50259000
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  • id: 50259001
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  • id: 50259002
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  • id: 50259003
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  • id: 50259004
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  • id: 50259005
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  • id: 50259006
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  • id: 50259007
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  • id: 50259008
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  • id: 50259009
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  • id: 50259010
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  • id: 50259011
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  • id: 50259012
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  • id: 50259013
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  • id: 50259014
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  • id: 50259015
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  • id: 50259016
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  • id: 50259017
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  • id: 50259018
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  • id: 50259019
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  • id: 50259020
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  • id: 50259021
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  • id: 50259022
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  • id: 50259023
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  • id: 50259024
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  • id: 50259025
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  • id: 50259026
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  • id: 50259027
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  • id: 50259028
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  • id: 50259029
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  • id: 50259030
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  • id: 50259031
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  • id: 50259032
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  • id: 50259033
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  • id: 50259034
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  • id: 50259035
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  • id: 50259036
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  • id: 50259037
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  • id: 50259038
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  • id: 50259039
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  • id: 50259040
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  • id: 50259041
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  • id: 50259042
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  • id: 50259043
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  • id: 50259044
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  • id: 50259045
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  • id: 50259046
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  • id: 50259047
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  • id: 50259048
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  • id: 50259049
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  • id: 50259050
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  • id: 50259051
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  • id: 50259052
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  • id: 50259053
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  • id: 50259054
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  • id: 50259055
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  • id: 50259056
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  • id: 50259057
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  • id: 50259058
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  • id: 50259059
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  • id: 50259060
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  • id: 50259061
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  • id: 50259062
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  • id: 50259063
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  • id: 50259064
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  • id: 50259065
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  • id: 50259066
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  • id: 50259067
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  • id: 50259068
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  • id: 50259069
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  • id: 50259070
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  • id: 50259071
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  • id: 50259072
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  • id: 50259073
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  • id: 50259074
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  • id: 50259075
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  • id: 50259076
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  • id: 50259077
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  • id: 50259078
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  • id: 50259079
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  • id: 50259080
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  • id: 50259081
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  • id: 50259082
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  • id: 50259083
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  • id: 50259084
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  • id: 50259085
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  • id: 50259086
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  • id: 50259087
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  • id: 50259088
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  • id: 50259089
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  • id: 50259090
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  • id: 50259091
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  • id: 50259092
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  • id: 50259093
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  • id: 50259094
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  • id: 50259095
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  • id: 50259096
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  • id: 50259097
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  • id: 50259098
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  • id: 50259099
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  • id: 50259100
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  • id: 50259101
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  • id: 50259102
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  • id: 50259103
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  • id: 50259104
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  • id: 50259105
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  • id: 50259106
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  • id: 50259107
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  • id: 50259108
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  • id: 50259109
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  • id: 50259110
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  • id: 50259111
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  • id: 50259112
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  • id: 50259113
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  • id: 50259114
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  • id: 50259115
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  • id: 50259116
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  • id: 50259117
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  • id: 50259118
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  • id: 50259119
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  • id: 50259120
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  • id: 50259121
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  • id: 50259122
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  • id: 50259123
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  • id: 50259124
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  • id: 50259125
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  • id: 50259126
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  • id: 50259127
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  • id: 50259128
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  • id: 50259129
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  • id: 50259130
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  • id: 50259131
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  • id: 50259132
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  • id: 50259133
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  • id: 50259135
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  • id: 50259136
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  • id: 50259137
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  • id: 50259138
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  • id: 50259139
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  • id: 50259140
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  • id: 50259141
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  • id: 50259142
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  • id: 50259143
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  • id: 50259144
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  • id: 50259145
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  • id: 50259146
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  • id: 50259147
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  • id: 50259148
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  • id: 50259149
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  • id: 50259150
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