Embedded newform data - 1008.2.bf.i.31.16

Formats: - HTML - YAML - JSON - 2024-06-10T11:27:33.827528

• 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': 4032, 'analytic_conductor': 8.048920523745062, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 252, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 32, 'char_orbit_label': 'bf', 'char_order': 6, 'char_parity': 1, 'char_values': [1008, 6, [127, 757, 785, 577], [3, 6, 2, 1]], 'cm_discs': [], 'conrey_index': 31, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [2916, 0, 27459, 0, 77598, 0, 79623, 0, 35001, 0, 7668, 0, 870, 0, 48, 0, 1]], [19, [156863626279441, 0, 420676341693578, 0, 756448345289502, 0, 708552483556510, 0, 467691031020623, 0, 201507658294401, 0, 63461754167551, 0, 13568320720637, 0, 2123080156881, 0, 222174856073, 0, 16893351658, 0, 845979156, 0, 30956012, 0, 760432, 0, 13545, 0, 146, 0, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36030927356298224, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0], [1, 1, 63, 11, -1, 6, 0], [1, 1, 252, 14, 1, 6, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1008.2.bf.i', 'level': 1008, '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.i', 'prim_orbit_index': 14, 'related_objects': [], 'relative_dim': 16, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1008.2.bf', 'trace_display': [0, 0, 0, 0], 'traces': [32, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, -6, 0, 0, 0, -18, 0, 0, 0, -8, 0, 0, 0, -32, 0, 0, 0, -12, 0, 0, 0, 30, 0, 0, 0, 2, 0, 0, 0, 36, 0, 0, 0, 30, 0, 0, 0, 2, 0, 0, 0, -12, 0, 0, 0, -46, 0, 0, 0, 42, 0, 0, 0, 18, 0, 0, 0, -42, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, -16, 0, 0, 0, -12, 0, 0, 0, -18, 0, 0, 0, 58, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 42, 0, 0, 0, -8, 0, 0, 0, -30, 0, 0, 0, -90, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 66, 0, 0, 0, 28, 0, 0, 0, 24, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -66, 0, 0, 0, 14, 0, 0, 0, 90, 0, 0, 0, -54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, -4, 0, 0, 0, 108, 0, 0, 0, 72, 0, 0, 0, -6, 0, 0, 0, -144, 0, 0, 0, -42, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 166, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 102, 0, 0, 0, 0, 0, 0, 0, 102, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 54, 0, 0, 0, -72, 0, 0, 0, -132, 0, 0, 0, -28, 0, 0, 0, -96, 0, 0, 0, 48, 0, 0, 0, 46, 0, 0, 0, 198, 0, 0, 0, -90, 0, 0, 0, 24, 0, 0, 0, -66, 0, 0, 0, -188, 0, 0, 0, 0, 0, 0, 0, -42, 0, 0, 0, -186, 0, 0, 0, 132, 0, 0, 0, -108, 0, 0, 0, -70, 0, 0, 0, 10, 0, 0, 0, -252, 0, 0, 0, -12, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 222, 0, 0, 0, 12, 0, 0, 0, -168, 0, 0, 0, -204, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, 54, 0, 0, 0, -132, 0, 0, 0, 12, 0, 0, 0, 102, 0, 0, 0, 42, 0, 0, 0, 60, 0, 0, 0, 114, 0, 0, 0, -42, 0, 0, 0, 144, 0, 0, 0, 106, 0, 0, 0, -16, 0, 0, 0, 234, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 234, 0, 0, 0, -52, 0, 0, 0, 24, 0, 0, 0, 396, 0, 0, 0, 192, 0, 0, 0, 76, 0, 0, 0, -180, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -180, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 66, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 72, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 74, 0, 0, 0, -54, 0, 0, 0, 36, 0, 0, 0, -226, 0, 0, 0, 76, 0, 0, 0, -174, 0, 0, 0, 114, 0, 0, 0, -130, 0, 0, 0, 342, 0, 0, 0, 18, 0, 0, 0, 6, 0, 0, 0, -24, 0, 0, 0, -450, 0, 0, 0, -126, 0, 0, 0, -90, 0, 0, 0, -408, 0, 0, 0, -114, 0, 0, 0, -354, 0, 0, 0, -174, 0, 0, 0, 40, 0, 0, 0, -108, 0, 0, 0, 20, 0, 0, 0, 102, 0, 0, 0, 0, 0, 0, 0, 282, 0, 0, 0, -14, 0, 0, 0, -210, 0, 0, 0, -216, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 18, 0, 0, 0, 132, 0, 0, 0, 48, 0, 0, 0, -126, 0, 0, 0, 156, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, -58, 0, 0, 0, -4, 0, 0, 0, 396, 0, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, -174, 0, 0, 0, -18, 0, 0, 0, 540, 0, 0, 0, 348, 0, 0, 0, -62, 0, 0, 0, -486, 0, 0, 0, -168, 0, 0, 0, -28, 0, 0, 0, 42, 0, 0, 0, 314, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 162, 0, 0, 0, 36, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -108, 0, 0, 0, -288, 0, 0, 0, -182, 0, 0, 0, -120, 0, 0, 0, -288, 0, 0, 0, 36, 0, 0, 0, 36, 0, 0, 0, 324, 0, 0, 0, -360, 0, 0, 0, -60, 0, 0, 0, -192, 0, 0, 0, -422, 0, 0, 0, 120, 0, 0, 0, 42, 0, 0, 0, -558, 0, 0, 0, -144, 0, 0, 0, -348, 0, 0, 0, -194, 0, 0, 0, -16, 0, 0, 0, -522, 0, 0, 0, 26, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, -108, 0, 0, 0, -204, 0, 0, 0, -372, 0, 0, 0, 196, 0, 0, 0, 0, 0, 0, 0, 186, 0, 0, 0, 246, 0, 0, 0, 84, 0, 0, 0, 132, 0, 0, 0, 144, 0, 0, 0, 372, 0, 0, 0, 318, 0, 0, 0, 144, 0, 0, 0, 324, 0, 0, 0, 212, 0, 0, 0, -26, 0, 0, 0, 216, 0, 0, 0, -204, 0, 0, 0, 0, 0, 0, 0, 270, 0, 0, 0, 54, 0, 0, 0, -84, 0, 0, 0, 540, 0, 0, 0, 156, 0, 0, 0, -96, 0, 0, 0, -450, 0, 0, 0, -90, 0, 0, 0, 56, 0, 0, 0, -120, 0, 0, 0, 490, 0, 0, 0, 0, 0, 0, 0, -42, 0, 0, 0, 78, 0, 0, 0, 0, 0, 0, 0, 354, 0, 0, 0, 432, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, -102, 0, 0, 0, 180, 0, 0, 0, -252, 0, 0, 0, -302, 0, 0, 0, -28, 0, 0, 0, -354, 0, 0, 0, 246, 0, 0, 0, 72, 0, 0, 0, 612, 0, 0, 0, 252, 0, 0, 0, -42, 0, 0, 0, 144, 0, 0, 0, -624, 0, 0, 0, -12, 0, 0, 0, -114, 0, 0, 0, -684, 0, 0, 0, 198, 0, 0, 0, -660, 0, 0, 0, -74, 0, 0, 0, -94, 0, 0, 0, -360, 0, 0, 0, 128, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, 58, 0, 0, 0, -318, 0, 0, 0, -564, 0, 0, 0, -340, 0, 0, 0, 0, 0, 0, 0, 396, 0, 0, 0, -114, 0, 0, 0, 648, 0, 0, 0, 54, 0, 0, 0, 198, 0, 0, 0, -216, 0, 0, 0, 582, 0, 0, 0, -18, 0, 0, 0, -42, 0, 0, 0, -126, 0, 0, 0, 12, 0, 0, 0, 558, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, -54, 0, 0, 0, -344, 0, 0, 0, 68, 0, 0, 0, 672, 0, 0, 0, 108, 0, 0, 0, 152, 0, 0, 0, -720, 0, 0, 0, -84, 0, 0, 0, 100, 0, 0, 0, 36, 0, 0, 0, 426, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 366, 0, 0, 0, 0, 0, 0, 0, 348, 0, 0, 0, -6, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 66, 0, 0, 0, 96, 0, 0, 0, -450, 0, 0, 0, -408, 0, 0, 0, 300, 0, 0, 0, -396, 0, 0, 0, 42, 0, 0, 0, -116, 0, 0, 0, 432, 0, 0, 0, -150, 0, 0, 0, 6, 0, 0, 0, -252, 0, 0, 0, -628, 0, 0, 0, -294, 0, 0, 0, -90, 0, 0, 0, -456, 0, 0, 0, -228, 0, 0, 0, -318, 0, 0, 0, -318, 0, 0, 0, 24, 0, 0, 0, -450, 0, 0, 0, 174, 0, 0, 0, 90, 0, 0, 0, 0, 0, 0, 0, 924, 0, 0, 0, 114, 0, 0, 0, -354, 0, 0, 0, -744, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, -62, 0, 0, 0, -24, 0, 0, 0, 66, 0, 0, 0, -486, 0, 0, 0, -24, 0, 0, 0, 288, 0, 0, 0, -240, 0, 0, 0, 462, 0, 0, 0, 196, 0, 0, 0, 122, 0, 0, 0, 216, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 702, 0, 0, 0, -12, 0, 0, 0, 58, 0, 0, 0, 756, 0, 0, 0, 492, 0, 0, 0, -186, 0, 0, 0, -450, 0, 0, 0, -324, 0, 0, 0, -48, 0, 0, 0, -234, 0, 0, 0, 642, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 354, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 302, 0, 0, 0, -294, 0, 0, 0, -144, 0, 0, 0, -276, 0, 0, 0, 48, 0, 0, 0, -234, 0, 0, 0, 528, 0, 0, 0, 158, 0, 0, 0, 918, 0, 0, 0, 114, 0, 0, 0, -20, 0, 0, 0, -48, 0, 0, 0, -704, 0, 0, 0, 330, 0, 0, 0, -132, 0, 0, 0, -954, 0, 0, 0, -144, 0, 0, 0, -762, 0, 0, 0, -6, 0, 0, 0, 112, 0, 0, 0, -504, 0, 0, 0, 318, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 390, 0, 0, 0, 20, 0, 0, 0, -636, 0, 0, 0, -540, 0, 0, 0, 348, 0, 0, 0, 0, 0, 0, 0, 414, 0, 0, 0, 210, 0, 0, 0, 504, 0, 0, 0, 84, 0, 0, 0, 216, 0, 0, 0, 120, 0, 0, 0, 360, 0, 0, 0, 330, 0, 0, 0, -72, 0, 0, 0, -12, 0, 0, 0, -56, 0, 0, 0, 540, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 126, 0, 0, 0, -284, 0, 0, 0, -24, 0, 0, 0, 516, 0, 0, 0, 498, 0, 0, 0, -48, 0, 0, 0, -720, 0, 0, 0, -504, 0, 0, 0, 270, 0, 0, 0, -60, 0, 0, 0, 614, 0, 0, 0, 0, 0, 0, 0, -30, 0, 0, 0, 504, 0, 0, 0, 0, 0, 0, 0, 198, 0, 0, 0, -282, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -378, 0, 0, 0, 108, 0, 0, 0, -828, 0, 0, 0, -498, 0, 0, 0, 56, 0, 0, 0, -450, 0, 0, 0, -30, 0, 0, 0, 140, 0, 0, 0, 414, 0, 0, 0, -612, 0, 0, 0, 110, 0, 0, 0, -192, 0, 0, 0, -766, 0, 0, 0, 162, 0, 0, 0, 90, 0, 0, 0, -558, 0, 0, 0, 648, 0, 0, 0, -540, 0, 0, 0, -216, 0, 0, 0, -4, 0, 0, 0, -702, 0, 0, 0, 16, 0, 0, 0, -258, 0, 0, 0, 0, 0, 0, 0, 762, 0, 0, 0, 58, 0, 0, 0, -384, 0, 0, 0, -648, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, -364, 0, 0, 0, -240, 0, 0, 0, 210, 0, 0, 0, 54, 0, 0, 0, 588, 0, 0, 0, 624, 0, 0, 0, -198, 0, 0, 0, 528, 0, 0, 0, 152, 0, 0, 0, -80, 0, 0, 0, 558, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 540, 0, 0, 0, 164, 0, 0, 0, -38, 0, 0, 0, 900, 0, 0, 0, 564, 0, 0, 0, 414, 0, 0, 0, -648, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, -372, 0, 0, 0, 774, 0, 0, 0, 0, 0, 0, 0, -90, 0, 0, 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], [0.9980244245889063, 0.06282712729372947], [0.0, 0.0], [0.0, -0.19472867344284964], [0.0, 0.0], [-0.9414930624531396, -0.33703236247074064], [0.0, 0.0], [0.992105504152035, 0.12540601513179667], [0.0, 0.0], [0.0, -1.4534350136043606], [0.0, 0.0], [-1.1971512464441176, -0.6911755943952074], [0.0, 0.0], [0.012234243154132992, -0.19434397226376104], [0.0, 0.0], [-1.193620665008755, -0.6891372122531049], [0.0, 0.0], [-0.8510605481268011, -1.4740801096730372], [0.0, 0.0], [-0.9184582967701862, -0.39551783410360725], [0.0, 0.0], [0.0, 0.658965959769874], [0.0, 0.0], [0.9620807437391881, 0.0], [0.0, 0.0], [0.9822666252367368, 0.1874894048900686], [0.0, 0.0], [0.46355152777855374, 0.8028947980386308], [0.0, 0.0], [0.23881746690965874, 0.41364398642242806], [0.0, 0.0], [0.09131514661288459, -1.4505636431298612], [0.0, 0.0], [-0.06562986485123698, 0.18333569510714584], [0.0, 0.0], [0.17508466898922584, 0.30325554231571816], [0.0, 0.0], 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• 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': 4032, 'analytic_conductor': 8.048920523745062, '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': [1008, 6, [127, 757, 785, 577], [3, 6, 2, 1]], 'conrey_index': 31, 'cusp_dim': 360, 'dim': 96, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 19], 'hecke_orbit_code': 2130337334256, 'hecke_orbit_dims': [2, 2, 2, 2, 4, 4, 24, 24, 32], 'label': '1008.2.bf', 'level': 1008, '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': 408, 'mf_new_dim': 96, 'num_forms': 9, 'prim_orbit_index': 14, 'relative_dim': 48, 'sturm_bound': 384, '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, -24, 0, 0, 0, -96, 0, 0, 0, -12, 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, -24, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 12, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, -12, 0, 0, 0, 96, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -120, 0, 0, 0, 48, 0, 0, 0, 144, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 48, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -72, 0, 0, 0, -72, 0, 0, 0, 36, 0, 0, 0, -60, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, -60, 0, 0, 0, 36, 0, 0, 0, -108, 0, 0, 0, 24, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -48, 0, 0, 0, -48, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, -72, 0, 0, 0, -288, 0, 0, 0, 168, 0, 0, 0, -36, 0, 0, 0, -144, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 36, 0, 0, 0, 12, 0, 0, 0, 108, 0, 0, 0, 108, 0, 0, 0, -60, 0, 0, 0, -240, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 168, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 132, 0, 0, 0, 48, 0, 0, 0, -12, 0, 0, 0, 144, 0, 0, 0, -36, 0, 0, 0, 36, 0, 0, 0, 216, 0, 0, 0, 12, 0, 0, 0, 36, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -252, 0, 0, 0, 108, 0, 0, 0, -216, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 36, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, -72, 0, 0, 0, -60, 0, 0, 0, 216, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 60, 0, 0, 0, 168, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, -288, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, -156, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 144, 0, 0, 0, 36, 0, 0, 0, -180, 0, 0, 0, -216, 0, 0, 0, 12, 0, 0, 0, 264, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, -480, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -372, 0, 0, 0, 0, 0, 0, 0, -504, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -216, 0, 0, 0, -84, 0, 0, 0, -144, 0, 0, 0, -648, 0, 0, 0, -36, 0, 0, 0, -264, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 24, 0, 0, 0, -120, 0, 0, 0, -360, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 36, 0, 0, 0, 144, 0, 0, 0, 144, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 108, 0, 0, 0, -384, 0, 0, 0, 120, 0, 0, 0, 216, 0, 0, 0, 432, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 444, 0, 0, 0, 396, 0, 0, 0, -72, 0, 0, 0, -360, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 660, 0, 0, 0, 12, 0, 0, 0, 168, 0, 0, 0, -252, 0, 0, 0, -144, 0, 0, 0, 504, 0, 0, 0, 108, 0, 0, 0, 12, 0, 0, 0, -144, 0, 0, 0, 252, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -504, 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: 46761117
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 31, 'target_dim': 32, 'target_embedding_index': 16, 'target_hecke_orbit_code': 36030927356298224, 'target_is_minimal': True, 'target_label': '1008.2.bf.i.31.16', 'target_level': 1008, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46761118
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 1711, 'target_dim': 32, 'target_embedding_index': 10, 'target_hecke_orbit_code': 36030927356300240, 'target_is_minimal': False, 'target_label': '3024.2.bf.i.1711.10', 'target_level': 3024, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46761119
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 31, 'target_dim': 32, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36030927356298224, 'target_is_minimal': True, 'target_label': '1008.2.bf.i.31.1', 'target_level': 1008, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46761120
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 607, 'target_dim': 32, 'target_embedding_index': 12, 'target_hecke_orbit_code': 36034088452228080, 'target_is_minimal': True, 'target_label': '1008.2.cz.i.607.12', 'target_level': 1008, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46761121
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 2719, 'target_dim': 32, 'target_embedding_index': 7, 'target_hecke_orbit_code': 36034088452230096, 'target_is_minimal': False, 'target_label': '3024.2.cz.i.2719.7', 'target_level': 3024, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46761122
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 367, 'target_dim': 32, 'target_embedding_index': 5, 'target_hecke_orbit_code': 36034088452228080, 'target_is_minimal': True, 'target_label': '1008.2.cz.i.367.5', 'target_level': 1008, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 46761123
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 1711, 'target_dim': 32, 'target_embedding_index': 9, 'target_hecke_orbit_code': 36030927356300240, 'target_is_minimal': False, 'target_label': '3024.2.bf.i.1711.9', 'target_level': 3024, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46761124
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 1279, 'target_dim': 32, 'target_embedding_index': 8, 'target_hecke_orbit_code': 36034088452230096, 'target_is_minimal': False, 'target_label': '3024.2.cz.i.1279.8', 'target_level': 3024, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46761125
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 607, 'target_dim': 32, 'target_embedding_index': 5, 'target_hecke_orbit_code': 36034088452228080, 'target_is_minimal': True, 'target_label': '1008.2.cz.i.607.5', 'target_level': 1008, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '28.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 46761126
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 367, 'target_dim': 32, 'target_embedding_index': 12, 'target_hecke_orbit_code': 36034088452228080, 'target_is_minimal': True, 'target_label': '1008.2.cz.i.367.12', 'target_level': 1008, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 46761127
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 2719, 'target_dim': 32, 'target_embedding_index': 8, 'target_hecke_orbit_code': 36034088452230096, 'target_is_minimal': False, 'target_label': '3024.2.cz.i.2719.8', 'target_level': 3024, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46761128
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 2287, 'target_dim': 32, 'target_embedding_index': 8, 'target_hecke_orbit_code': 36030927356300240, 'target_is_minimal': False, 'target_label': '3024.2.bf.i.2287.8', 'target_level': 3024, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '63.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 46761129
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 943, 'target_dim': 32, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36030927356298224, 'target_is_minimal': True, 'target_label': '1008.2.bf.i.943.1', 'target_level': 1008, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '63.61', 'twisting_conrey_index': 61, 'weight': 2}
  • id: 46761130
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 1279, 'target_dim': 32, 'target_embedding_index': 7, 'target_hecke_orbit_code': 36034088452230096, 'target_is_minimal': False, 'target_label': '3024.2.cz.i.1279.7', 'target_level': 3024, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '84.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 46761131
    {'conductor': 252, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 2287, 'target_dim': 32, 'target_embedding_index': 7, 'target_hecke_orbit_code': 36030927356300240, 'target_is_minimal': False, 'target_label': '3024.2.bf.i.2287.7', 'target_level': 3024, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '252.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 46761132
    {'conductor': 252, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 31, 'source_dim': 32, 'source_embedding_index': 16, 'source_hecke_orbit_code': 36030927356298224, 'source_is_minimal': True, 'source_label': '1008.2.bf.i.31.16', 'source_level': 1008, 'target_conrey_index': 943, 'target_dim': 32, 'target_embedding_index': 16, 'target_hecke_orbit_code': 36030927356298224, 'target_is_minimal': True, 'target_label': '1008.2.bf.i.943.16', 'target_level': 1008, 'twist_class_label': '1008.2.bf.i.31.1', 'twist_class_level': 1008, 'twisting_char_label': '252.187', 'twisting_conrey_index': 187, 'weight': 2}
• hecke_orbit_code 36030927356298224 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': 9, 'label': '1008.2.bf.i', 'level': 1008, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 52290901
    {'hecke_orbit_code': 36030927356298224, 'n': 1, 'trace_an': 32}
  • id: 52290902
    {'hecke_orbit_code': 36030927356298224, 'n': 2, 'trace_an': 0}
  • id: 52290903
    {'hecke_orbit_code': 36030927356298224, 'n': 3, 'trace_an': 0}
  • id: 52290904
    {'hecke_orbit_code': 36030927356298224, 'n': 4, 'trace_an': 0}
  • id: 52290905
    {'hecke_orbit_code': 36030927356298224, 'n': 5, 'trace_an': 0}
  • id: 52290906
    {'hecke_orbit_code': 36030927356298224, 'n': 6, 'trace_an': 0}
  • id: 52290907
    {'hecke_orbit_code': 36030927356298224, 'n': 7, 'trace_an': 0}
  • id: 52290908
    {'hecke_orbit_code': 36030927356298224, 'n': 8, 'trace_an': 0}
  • id: 52290909
    {'hecke_orbit_code': 36030927356298224, 'n': 9, 'trace_an': -4}
  • id: 52290910
    {'hecke_orbit_code': 36030927356298224, 'n': 10, 'trace_an': 0}
  • id: 52290911
    {'hecke_orbit_code': 36030927356298224, 'n': 11, 'trace_an': 0}
  • id: 52290912
    {'hecke_orbit_code': 36030927356298224, 'n': 12, 'trace_an': 0}
  • id: 52290913
    {'hecke_orbit_code': 36030927356298224, 'n': 13, 'trace_an': -6}
  • id: 52290914
    {'hecke_orbit_code': 36030927356298224, 'n': 14, 'trace_an': 0}
  • id: 52290915
    {'hecke_orbit_code': 36030927356298224, 'n': 15, 'trace_an': 0}
  • id: 52290916
    {'hecke_orbit_code': 36030927356298224, 'n': 16, 'trace_an': 0}
  • id: 52290917
    {'hecke_orbit_code': 36030927356298224, 'n': 17, 'trace_an': -18}
  • id: 52290918
    {'hecke_orbit_code': 36030927356298224, 'n': 18, 'trace_an': 0}
  • id: 52290919
    {'hecke_orbit_code': 36030927356298224, 'n': 19, 'trace_an': 0}
  • id: 52290920
    {'hecke_orbit_code': 36030927356298224, 'n': 20, 'trace_an': 0}
  • id: 52290921
    {'hecke_orbit_code': 36030927356298224, 'n': 21, 'trace_an': -8}
  • id: 52290922
    {'hecke_orbit_code': 36030927356298224, 'n': 22, 'trace_an': 0}
  • id: 52290923
    {'hecke_orbit_code': 36030927356298224, 'n': 23, 'trace_an': 0}
  • id: 52290924
    {'hecke_orbit_code': 36030927356298224, 'n': 24, 'trace_an': 0}
  • id: 52290925
    {'hecke_orbit_code': 36030927356298224, 'n': 25, 'trace_an': -32}
  • id: 52290926
    {'hecke_orbit_code': 36030927356298224, 'n': 26, 'trace_an': 0}
  • id: 52290927
    {'hecke_orbit_code': 36030927356298224, 'n': 27, 'trace_an': 0}
  • id: 52290928
    {'hecke_orbit_code': 36030927356298224, 'n': 28, 'trace_an': 0}
  • id: 52290929
    {'hecke_orbit_code': 36030927356298224, 'n': 29, 'trace_an': -12}
  • id: 52290930
    {'hecke_orbit_code': 36030927356298224, 'n': 30, 'trace_an': 0}
  • id: 52290931
    {'hecke_orbit_code': 36030927356298224, 'n': 31, 'trace_an': 0}
  • id: 52290932
    {'hecke_orbit_code': 36030927356298224, 'n': 32, 'trace_an': 0}
  • id: 52290933
    {'hecke_orbit_code': 36030927356298224, 'n': 33, 'trace_an': 30}
  • id: 52290934
    {'hecke_orbit_code': 36030927356298224, 'n': 34, 'trace_an': 0}
  • id: 52290935
    {'hecke_orbit_code': 36030927356298224, 'n': 35, 'trace_an': 0}
  • id: 52290936
    {'hecke_orbit_code': 36030927356298224, 'n': 36, 'trace_an': 0}
  • id: 52290937
    {'hecke_orbit_code': 36030927356298224, 'n': 37, 'trace_an': 2}
  • id: 52290938
    {'hecke_orbit_code': 36030927356298224, 'n': 38, 'trace_an': 0}
  • id: 52290939
    {'hecke_orbit_code': 36030927356298224, 'n': 39, 'trace_an': 0}
  • id: 52290940
    {'hecke_orbit_code': 36030927356298224, 'n': 40, 'trace_an': 0}
  • id: 52290941
    {'hecke_orbit_code': 36030927356298224, 'n': 41, 'trace_an': 36}
  • id: 52290942
    {'hecke_orbit_code': 36030927356298224, 'n': 42, 'trace_an': 0}
  • id: 52290943
    {'hecke_orbit_code': 36030927356298224, 'n': 43, 'trace_an': 0}
  • id: 52290944
    {'hecke_orbit_code': 36030927356298224, 'n': 44, 'trace_an': 0}
  • id: 52290945
    {'hecke_orbit_code': 36030927356298224, 'n': 45, 'trace_an': 30}
  • id: 52290946
    {'hecke_orbit_code': 36030927356298224, 'n': 46, 'trace_an': 0}
  • id: 52290947
    {'hecke_orbit_code': 36030927356298224, 'n': 47, 'trace_an': 0}
  • id: 52290948
    {'hecke_orbit_code': 36030927356298224, 'n': 48, 'trace_an': 0}
  • id: 52290949
    {'hecke_orbit_code': 36030927356298224, 'n': 49, 'trace_an': 2}
  • id: 52290950
    {'hecke_orbit_code': 36030927356298224, 'n': 50, 'trace_an': 0}
  • id: 52290951
    {'hecke_orbit_code': 36030927356298224, 'n': 51, 'trace_an': 0}
  • id: 52290952
    {'hecke_orbit_code': 36030927356298224, 'n': 52, 'trace_an': 0}
  • id: 52290953
    {'hecke_orbit_code': 36030927356298224, 'n': 53, 'trace_an': -12}
  • id: 52290954
    {'hecke_orbit_code': 36030927356298224, 'n': 54, 'trace_an': 0}
  • id: 52290955
    {'hecke_orbit_code': 36030927356298224, 'n': 55, 'trace_an': 0}
  • id: 52290956
    {'hecke_orbit_code': 36030927356298224, 'n': 56, 'trace_an': 0}
  • id: 52290957
    {'hecke_orbit_code': 36030927356298224, 'n': 57, 'trace_an': -46}
  • id: 52290958
    {'hecke_orbit_code': 36030927356298224, 'n': 58, 'trace_an': 0}
  • id: 52290959
    {'hecke_orbit_code': 36030927356298224, 'n': 59, 'trace_an': 0}
  • id: 52290960
    {'hecke_orbit_code': 36030927356298224, 'n': 60, 'trace_an': 0}
  • id: 52290961
    {'hecke_orbit_code': 36030927356298224, 'n': 61, 'trace_an': 42}
  • id: 52290962
    {'hecke_orbit_code': 36030927356298224, 'n': 62, 'trace_an': 0}
  • id: 52290963
    {'hecke_orbit_code': 36030927356298224, 'n': 63, 'trace_an': 0}
  • id: 52290964
    {'hecke_orbit_code': 36030927356298224, 'n': 64, 'trace_an': 0}
  • id: 52290965
    {'hecke_orbit_code': 36030927356298224, 'n': 65, 'trace_an': 18}
  • id: 52290966
    {'hecke_orbit_code': 36030927356298224, 'n': 66, 'trace_an': 0}
  • id: 52290967
    {'hecke_orbit_code': 36030927356298224, 'n': 67, 'trace_an': 0}
  • id: 52290968
    {'hecke_orbit_code': 36030927356298224, 'n': 68, 'trace_an': 0}
  • id: 52290969
    {'hecke_orbit_code': 36030927356298224, 'n': 69, 'trace_an': -42}
  • id: 52290970
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  • id: 52290971
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  • id: 52290972
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  • id: 52290973
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  • id: 52290974
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  • id: 52290975
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  • id: 52290976
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  • id: 52290977
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  • id: 52290978
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  • id: 52290979
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  • id: 52290980
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  • id: 52290981
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  • id: 52290982
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  • id: 52290983
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  • id: 52290984
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  • id: 52290985
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  • id: 52290986
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  • id: 52290987
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  • id: 52290988
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  • id: 52290989
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  • id: 52290990
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  • id: 52290991
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  • id: 52290992
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  • id: 52290993
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  • id: 52290994
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  • id: 52290995
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  • id: 52290996
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  • id: 52290997
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  • id: 52290998
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  • id: 52290999
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  • id: 52291000
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  • id: 52291001
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  • id: 52291002
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  • id: 52291003
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  • id: 52291004
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  • id: 52291005
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  • id: 52291006
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  • id: 52291007
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  • id: 52291008
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  • id: 52291009
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  • id: 52291010
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  • id: 52291011
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  • id: 52291012
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  • id: 52291013
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  • id: 52291014
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  • id: 52291015
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  • id: 52291016
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  • id: 52291017
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  • id: 52291018
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  • id: 52291019
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  • id: 52291020
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  • id: 52291021
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  • id: 52291022
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  • id: 52291023
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  • id: 52291024
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  • id: 52291025
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  • id: 52291026
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  • id: 52291027
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  • id: 52291028
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  • id: 52291029
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  • id: 52291030
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  • id: 52291031
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  • id: 52291032
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  • id: 52291033
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  • id: 52291034
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  • id: 52291035
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  • id: 52291036
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  • id: 52291037
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  • id: 52291038
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  • id: 52291039
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  • id: 52291040
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  • id: 52291041
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  • id: 52291042
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  • id: 52291043
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  • id: 52291044
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  • id: 52291045
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  • id: 52291046
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  • id: 52291047
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  • id: 52291048
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  • id: 52291049
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  • id: 52291050
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  • id: 52291051
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  • id: 52291052
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  • id: 52291053
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  • id: 52291054
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  • id: 52291055
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  • id: 52291056
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  • id: 52291057
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  • id: 52291058
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  • id: 52291059
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  • id: 52291060
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  • id: 52291061
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  • id: 52291062
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  • id: 52291063
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  • id: 52291064
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  • id: 52291065
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  • id: 52291066
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  • id: 52291067
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  • id: 52291068
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  • id: 52291069
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  • id: 52291070
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  • id: 52291071
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  • id: 52291072
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  • id: 52291073
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  • id: 52291074
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  • id: 52291075
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  • id: 52291076
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  • id: 52291077
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  • id: 52291078
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  • id: 52291079
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  • id: 52291080
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  • id: 52291081
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  • id: 52291082
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  • id: 52291083
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  • id: 52291084
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  • id: 52291085
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  • id: 52291086
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  • id: 52291087
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  • id: 52291088
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  • id: 52291089
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  • id: 52291090
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  • id: 52291091
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  • id: 52291092
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  • id: 52291093
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  • id: 52291094
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  • id: 52291095
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  • id: 52291096
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  • id: 52291097
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  • id: 52291098
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  • id: 52291099
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  • id: 52291100
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  • id: 52291101
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  • id: 52291102
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  • id: 52291103
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  • id: 52291104
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  • id: 52291105
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  • id: 52291106
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  • id: 52291107
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  • id: 52291108
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  • id: 52291109
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  • id: 52291110
    {'hecke_orbit_code': 36030927356298224, 'n': 677, 'trace_an': 396}
  • id: 52291111
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  • id: 52291112
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  • id: 52291113
    {'hecke_orbit_code': 36030927356298224, 'n': 701, 'trace_an': 540}
  • id: 52291114
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  • id: 52291115
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  • id: 52291116
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  • id: 52291117
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  • id: 52291118
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  • id: 52291119
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  • id: 52291120
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  • id: 52291121
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  • id: 52291122
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  • id: 52291123
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  • id: 52291124
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  • id: 52291125
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  • id: 52291126
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  • id: 52291127
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  • id: 52291128
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  • id: 52291129
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  • id: 52291130
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  • id: 52291131
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  • id: 52291132
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  • id: 52291133
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  • id: 52291134
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  • id: 52291135
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  • id: 52291136
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  • id: 52291137
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  • id: 52291138
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  • id: 52291139
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  • id: 52291140
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  • id: 52291141
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  • id: 52291142
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  • id: 52291143
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  • id: 52291144
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  • id: 52291145
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  • id: 52291146
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  • id: 52291147
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  • id: 52291148
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  • id: 52291149
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  • id: 52291150
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  • id: 52291151
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  • id: 52291152
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  • id: 52291153
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  • id: 52291154
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  • id: 52291155
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  • id: 52291156
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  • id: 52291157
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  • id: 52291158
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