Embedded newform data - 3552.2.f.b.1777.30

Formats: - HTML - YAML - JSON - 2026-06-27T19:32:00.678722

• 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': 14208, 'analytic_conductor': 28.362862797958794, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 8, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [3552, 2, [223, 3109, 2369, 3073], [2, 1, 2, 2]], 'cm_discs': [], 'conrey_index': 1777, 'dim': 44, 'has_non_self_twist': 1, 'hecke_orbit': 2, 'hecke_orbit_code': 4503943258312160, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '3552.2.f.b', 'level': 3552, '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, 37], 'level_radical': 222, 'minimal_twist': '888.2.f.b', 'prim_orbit_index': 2, 'related_objects': [], 'relative_dim': 44, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3552.2.f', 'trace_display': [0, 0, 0, 0], 'traces': [44, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 4, 0, 20, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -8, 0, -56, 0, 0, 0, 0, 0, -24, 0, 92, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 32, 0, -48, 0, 0, 0, 0, 0, 28, 0, 44, 0, 0, 0, 0, 0, -12, 0, -76, 0, 0, 0, 0, 0, -16, 0, 32, 0, 0, 0, 0, 0, -12, 0, 8, 0, 0, 0, 0, 0, 44, 0, 52, 0, 0, 0, 0, 0, 8, 0, -132, 0, 0, 0, 0, 0, 48, 0, 44, 0, 0, 0, 0, 0, -4, 0, -80, 0, 0, 0, 0, 0, 16, 0, 88, 0, 0, 0, 0, 0, -16, 0, -20, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, -40, 0, -156, 0, 0, 0, 0, 0, -136, 0, -8, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 48, 0, 112, 0, 0, 0, 0, 0, 20, 0, -48, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 72, 0, -104, 0, 0, 0, 0, 0, -8, 0, 76, 0, 0, 0, 0, 0, 24, 0, -120, 0, 0, 0, 0, 0, -120, 0, 168, 0, 0, 0, 0, 0, 8, 0, -32, 0, 0, 0, 0, 0, 48, 0, 108, 0, 0, 0, 0, 0, -72, 0, -144, 0, 0, 0, 0, 0, -24, 0, 40, 0, 0, 0, 0, 0, -4, 0, -204, 0, 0, 0, 0, 0, 88, 0, 220, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -40, 0, 216, 0, 0, 0, 0, 0, -32, 0, -112, 0, 0, 0, 0, 0, 136, 0, 24, 0, 0, 0, 0, 0, 8, 0, -192, 0, 0, 0, 0, 0, -88, 0, 112, 0, 0, 0, 0, 0, 72, 0, -72, 0, 0, 0, 0, 0, 8, 0, 132, 0, 0, 0, 0, 0, -40, 0, -220, 0, 0, 0, 0, 0, -256, 0, 56, 0, 0, 0, 0, 0, -24, 0, -72, 0, 0, 0, 0, 0, 240, 0, 112, 0, 0, 0, 0, 0, -8, 0, 40, 0, 0, 0, 0, 0, 8, 0, 180, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 64, 0, 80, 0, 0, 0, 0, 0, 24, 0, -188, 0, 0, 0, 0, 0, -248, 0, 56, 0, 0, 0, 0, 0, -124, 0, -92, 0, 0, 0, 0, 0, 96, 0, 220, 0, 0, 0, 0, 0, 80, 0, -176, 0, 0, 0, 0, 0, -52, 0, -8, 0, 0, 0, 0, 0, 48, 0, -184, 0, 0, 0, 0, 0, 32, 0, 8, 0, 0, 0, 0, 0, -4, 0, -100, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, -24, 0, -240, 0, 0, 0, 0, 0, 272, 0, 28, 0, 0, 0, 0, 0, 48, 0, -216, 0, 0, 0, 0, 0, -24, 0, 300, 0, 0, 0, 0, 0, -72, 0, 8, 0, 0, 0, 0, 0, -56, 0, 264, 0, 0, 0, 0, 0, 56, 0, -120, 0, 0, 0, 0, 0, -208, 0, 136, 0, 0, 0, 0, 0, 0, 0, -268, 0, 0, 0, 0, 0, 320, 0, 208, 0, 0, 0, 0, 0, 104, 0, -72, 0, 0, 0, 0, 0, -40, 0, 216, 0, 0, 0, 0, 0, -40, 0, -248, 0, 0, 0, 0, 0, 116, 0, -40, 0, 0, 0, 0, 0, -56, 0, -224, 0, 0, 0, 0, 0, -416, 0, 292, 0, 0, 0, 0, 0, 4, 0, -136, 0, 0, 0, 0, 0, -32, 0, 216, 0, 0, 0, 0, 0, 104, 0, -240, 0, 0, 0, 0, 0, 8, 0, 48, 0, 0, 0, 0, 0, -24, 0, -320, 0, 0, 0, 0, 0, 280, 0, 224, 0, 0, 0, 0, 0, -56, 0, -16, 0, 0, 0, 0, 0, -112, 0, 256, 0, 0, 0, 0, 0, -80, 0, -216, 0, 0, 0, 0, 0, 28, 0, 136, 0, 0, 0, 0, 0, -28, 0, -160, 0, 0, 0, 0, 0, -128, 0, 360, 0, 0, 0, 0, 0, 36, 0, -44, 0, 0, 0, 0, 0, 100, 0, 224, 0, 0, 0, 0, 0, -96, 0, -224, 0, 0, 0, 0, 0, -320, 0, -16, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 504, 0, 304, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 12, 0, 280, 0, 0, 0, 0, 0, -96, 0, -208, 0, 0, 0, 0, 0, 120, 0, 76, 0, 0, 0, 0, 0, 0, 0, -324, 0, 0, 0, 0, 0, -552, 0, 232, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 104, 0, 164, 0, 0, 0, 0, 0, 32, 0, -220, 0, 0, 0, 0, 0, -304, 0, 220, 0, 0, 0, 0, 0, 16, 0, -188, 0, 0, 0, 0, 0, 200, 0, 368, 0, 0, 0, 0, 0, -40, 0, -32, 0, 0, 0, 0, 0, -176, 0, 176, 0, 0, 0, 0, 0, 168, 0, -376, 0, 0, 0, 0, 0, 592, 0, 32, 0, 0, 0, 0, 0, 16, 0, -416, 0, 0, 0, 0, 0, -168, 0, 128, 0, 0, 0, 0, 0, 116, 0, -192, 0, 0, 0, 0, 0, 12, 0, 392, 0, 0, 0, 0, 0, -56, 0, -328, 0, 0, 0, 0, 0, -392, 0, -8, 0, 0, 0, 0, 0, -48, 0, -176, 0, 0, 0, 0, 0, 120, 0, 364, 0, 0, 0, 0, 0, -116, 0, 32, 0, 0, 0, 0, 0, -8, 0, 292, 0, 0, 0, 0, 0, -96, 0, -304, 0, 0, 0, 0, 0, 276, 0, 84, 0, 0, 0, 0, 0, -44, 0, -400, 0, 0, 0, 0, 0, -352, 0, 280, 0, 0, 0, 0, 0, -8, 0, -52, 0, 0, 0, 0, 0, 256, 0, 424, 0, 0, 0, 0, 0, -80, 0, -272, 0, 0, 0, 0, 0, 8, 0, -16, 0, 0, 0, 0, 0, 56, 0, -372, 0, 0, 0, 0, 0, 416, 0, 88, 0, 0, 0, 0, 0, 216, 0, -128, 0, 0, 0, 0, 0, -8, 0, 12, 0, 0, 0, 0, 0, 64, 0, -160, 0, 0, 0, 0, 0, 276, 0, 132, 0, 0, 0, 0, 0, -56, 0, -284, 0, 0, 0, 0, 0, -248, 0, 352, 0, 0, 0, 0, 0, 120, 0, 24, 0, 0, 0, 0, 0, -48, 0, 384, 0, 0, 0, 0, 0, 8, 0, -408, 0, 0, 0, 0, 0, -720, 0, 72, 0, 0, 0, 0, 0, -48, 0, -320, 0, 0, 0, 0, 0, 648, 0, 240, 0, 0, 0, 0, 0, -8, 0, -44, 0, 0, 0, 0, 0, -68, 0, 448, 0, 0, 0, 0, 0, -96, 0, -304, 0, 0, 0, 0, 0, 96, 0, -40, 0, 0, 0, 0, 0, -40, 0, -48, 0, 0, 0, 0, 0, -400, 0, 448, 0, 0, 0, 0, 0, -304, 0, -168, 0, 0, 0, 0, 0, 4, 0, 72, 0, 0, 0, 0, 0, 152, 0, -220, 0, 0, 0, 0, 0, -152, 0, 80, 0, 0, 0, 0, 0, 48, 0, -344, 0, 0, 0, 0, 0, 272, 0, 272, 0, 0, 0, 0, 0, 224, 0, -48, 0, 0, 0, 0, 0, -80, 0, 272, 0, 0, 0, 0, 0, -72, 0, -304, 0, 0, 0, 0, 0, 400, 0, 120, 0, 0, 0, 0, 0, -16, 0, -564, 0, 0, 0, 0, 0, -8, 0, 64, 0, 0, 0, 0, 0, -316, 0, -88, 0, 0, 0, 0, 0, 32, 0, 432, 0, 0, 0, 0, 0, 496, 0, -272, 0, 0, 0, 0, 0, -324, 0, 64, 0, 0, 0, 0, 0, -176, 0, -168, 0, 0, 0, 0, 0, 96, 0, 448, 0, 0, 0, 0, 0, -136, 0, -160, 0, 0, 0, 0, 0, 16, 0, 188, 0, 0, 0, 0, 0, 144, 0, -44, 0, 0, 0, 0, 0, 296, 0, 20, 0, 0, 0, 0, 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0, 0, 0, 0, 0, -140, 0, -264, 0, 0, 0, 0, 0, 0, 0, 580, 0, 0, 0, 0, 0, -72, 0, 32, 0, 0, 0, 0, 0, 0, 0, 228, 0, 0, 0, 0, 0, 520, 0, -464, 0, 0, 0, 0, 0, -832, 0, 168, 0, 0, 0, 0, 0, -48, 0, -420, 0, 0, 0, 0, 0, 232, 0, 560, 0, 0, 0, 0, 0, 168, 0, -112, 0, 0, 0, 0, 0, -104, 0, 208, 0, 0, 0, 0, 0, -192, 0, -256, 0, 0, 0, 0, 0, -68, 0, -56, 0, 0, 0, 0, 0, 216, 0, -392, 0, 0, 0, 0, 0, -776, 0, 392, 0, 0, 0, 0, 0, -576, 0, -144, 0, 0, 0, 0, 0, -20, 0, 280, 0, 0, 0, 0, 0, -24, 0, -496, 0, 0, 0, 0, 0, -440, 0, 48, 0, 0, 0, 0, 0, -28, 0, -448, 0, 0, 0, 0, 0, 424, 0, 272, 0, 0, 0, 0, 0, 572, 0, -72, 0, 0, 0, 0, 0, 40, 0, 176, 0, 0, 0, 0, 0, -128, 0, -332, 0, 0, 0, 0, 0, 920, 0, 208, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, -168, 0, 328, 0, 0, 0, 0, 0, -420, 0, -120, 0, 0, 0, 0, 0, 20, 0, 484, 0, 0, 0, 0, 0, 288, 0, -8, 0, 0, 0, 0, 0, -624, 0, -48, 0, 0, 0, 0, 0, -216, 0, -400, 0, 0, 0, 0, 0, 688, 0, 160, 0, 0, 0, 0, 0, -112, 0, -196, 0, 0, 0, 0, 0, -72, 0, 40, 0, 0, 0, 0, 0, -640, 0, 152, 0, 0, 0, 0, 0, 224, 0, 104, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, -736, 0, 448, 0, 0, 0, 0, 0, -4, 0, 200, 0, 0, 0, 0, 0, 128, 0, 8, 0, 0, 0, 0, 0, 456, 0, -64, 0, 0, 0, 0, 0, -376, 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, 0.5773502691896257], [0.0, 0.0], [0.0, -0.9148736265303562], [0.0, 0.0], [-1.0705725126872772, 0.0], [0.0, 0.0], [-0.3333333333333333, 0.0], [0.0, 0.0], [0.0, 0.044799962795388705], [0.0, 0.0], [0.0, 1.650971129128195], [0.0, 0.0], [0.5282025345517903, 0.0], [0.0, 0.0], [1.2139044857512218, 0.0], [0.0, 0.0], [0.0, -0.4244018182874464], [0.0, 0.0], [0.0, -0.6180953283870135], [0.0, 0.0], [-1.9155739818298139, 0.0], [0.0, 0.0], [0.16300624747919426, 0.0], [0.0, 0.0], [0.0, -0.19245008972987526], [0.0, 0.0], [0.0, -1.3738691085881], [0.0, 0.0], [1.3917652963270337, 0.0], [0.0, 0.0], [-0.025865270579602886, 0.0], [0.0, 0.0], [0.0, 0.9794385571459251], [0.0, 0.0], [0.0, -0.1643989873053573], [0.0, 0.0], [-0.9531886258264638, 0.0], [0.0, 0.0], [-0.065396405142875, 0.0], [0.0, 0.0], [0.0, 1.8923567514537525], [0.0, 0.0], [0.0, 0.30495787551011877], [0.0, 0.0], [-1.1779037549999893, 0.0], [0.0, 0.0], [0.14612550492155021, 0.0], [0.0, 0.0], [0.0, 0.7008480816189622], [0.0, 0.0], [0.0, -0.5796468875116474], [0.0, 0.0], [0.0409863044310423, 0.0], [0.0, 0.0], [0.2450285040328238, 0.0], [0.0, 0.0], [0.0, -0.7099939158876318], [0.0, 0.0], [0.0, -1.2551304714252667], [0.0, 0.0], [0.3568575042290924, 0.0], [0.0, 0.0], [1.510429944202429, 0.0], [0.0, 0.0], [0.0, -1.8695426473385437], [0.0, 0.0], [0.0, -1.1059571540620863], [0.0, 0.0], [-0.8129243803776848, 0.0], [0.0, 0.0], [-0.38878194875428834, 0.0], [0.0, 0.0], [0.0, 0.09411170086170356], [0.0, 0.0], [0.0, -0.04796160873815582], [0.0, 0.0], [1.2200100125348594, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [0.0, 0.0], [0.0, -0.18328570933464458], [0.0, 0.0], [0.0, -1.1105691991406874], [0.0, 0.0], [0.7932036996746508, 0.0], [0.0, 0.0], [-1.329927922118854, 0.0], [0.0, 0.0], [0.0, -1.767484310084923], [0.0, 0.0], [0.0, 0.8035360684831923], [0.0, 0.0], [-0.38827403060271337, 0.0], [0.0, 0.0], [-0.8047220309481006, 0.0], [0.0, 0.0], [0.0, -0.014933320931796234], [0.0, 0.0]], 'angles': [None, None, -0.4243837971484946, -0.33989812970769956, 0.003565365966184302, 0.15454930844032883, -0.1461959582387443, -0.4659684377633462, -0.45359145126709394, -0.3794779459731977, -0.12750668151811842, None, -0.2552050083591823, 0.1975457224966769, -0.3502296263258574, -0.4532017051253602, -0.44224095016632975, -0.39202578441913355, -0.3078021331523346, -0.31661885556655106, -0.2811365228169159, -0.14558370846817928, -0.48539409341552536, -0.3657765573438616, -0.31590516712803973, -0.41937462889935334, -0.43199407423625635, 0.006897928263111714, 0.12300095292040153, -0.31753684140780736, -0.36431331965188246, -0.46783204567083614, -0.38428511352810557, -0.4643853269135679, -0.4505300365610322, -0.39761173306539976, 0.0678426004569786, -0.45922860658529513, -0.20061295301323073, 0.02841224934721204, -0.4661300740423278, -0.2979991480536321, -0.22100699332585516, -0.2475108842276056, -0.39851021189547864, -0.16843771692986043, -0.49959591181859564, -0.36650773229710676, -0.42025065635478415, 0.06806824529622653, -0.20513221630694162, -0.26452615121779743, -0.24763335433783765, -0.48283913126253925, -0.1420316028502866, -0.11070232354131503, -0.41418329935344966, -0.1576801564327979, 0.09218444167570336, -0.2379853778698271, -0.43849427426857823, 0.175310066848383, -0.42705275250148944, -0.27357928813202276, -0.3232189726702836, -0.43171614761544524, 0.0699525552857308, -0.2780231467167604, 0.007016463130840603, 0.042008769161901785, -0.41342164408932996, -0.13808352055527726, -0.3264539324788146, -0.4083190892703578, -0.3908406058382286, -0.3030990591604093, 0.09796757687890231, 0.0681934958829232, -0.1629070759917993, -0.30488077258068236, -0.41550781502505213, 0.007135303721746039, -0.19446612145678413, -0.3051887681286895, -0.18828710730788653, 0.04848220397402905, -0.2543125884733777, -0.3218346707359678, 0.06376302986813374, -0.16953692019075137, 0.05573303146236651, -0.27661312345849093, -0.21191117689362474, 0.037501822934064, 0.009084567564168394, -0.38422066759473833, -0.4720473970755986, -0.2714198919324319, -0.47669019092089937, 0.14299198743379116], 'char_orbit_index': 6, 'conrey_index': 1777, 'dual_conrey_index': 1777, 'dual_embedding_index': 15, 'dual_embedding_m': 15, 'embedding_index': 30, 'embedding_m': 30, 'hecke_orbit': 2, 'hecke_orbit_code': 4503943258312160, 'label': '3552.2.f.b.1777.30', 'level': 3552, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 14208, 'analytic_conductor': 28.362862797958794, 'char_conductor': 8, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [3552, 2, [223, 3109, 2369, 3073], [2, 1, 2, 2]], 'conrey_index': 1777, 'cusp_dim': 592, 'dim': 72, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_orbit_code': 343630941664, 'hecke_orbit_dims': [28, 44], 'label': '3552.2.f', 'level': 3552, '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, 37], 'level_radical': 222, 'mf_dim': 624, 'mf_new_dim': 72, 'num_forms': 2, 'prim_orbit_index': 2, 'relative_dim': 72, 'sturm_bound': 1216, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -48, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 56, 0, 72, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -32, 0, -16, 0, 0, 0, 0, 0, -24, 0, 16, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 16, 0, -56, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 80, 0, -16, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -80, 0, -72, 0, 0, 0, 0, 0, -16, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 144, 0, -16, 0, 0, 0, 0, 0, -80, 0, 72, 0, 0, 0, 0, 0, 48, 0, -32, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 16, 0, -64, 0, 0, 0, 0, 0, -32, 0, 32, 0, 0, 0, 0, 0, -144, 0, -48, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 48, 0, 168, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -64, 0, -96, 0, 0, 0, 0, 0, 80, 0, 48, 0, 0, 0, 0, 0, 16, 0, -128, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 16, 0, 64, 0, 0, 0, 0, 0, -80, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -16, 0, 80, 0, 0, 0, 0, 0, 64, 0, -32, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 48, 0, -96, 0, 0, 0, 0, 0, -208, 0, -80, 0, 0, 0, 0, 0, -248, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 16, 0, 0, 0, 0, 0, 24, 0, -16, 0, 0, 0, 0, 0, 96, 0, -64, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, -48, 0, -112, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 96, 0, -160, 0, 0, 0, 0, 0, 112, 0, 232, 0, 0, 0, 0, 0, -144, 0, 16, 0, 0, 0, 0, 0, -128, 0, 192, 0, 0, 0, 0, 0, 112, 0, 80, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 160, 0, 160, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 16, 0, 112, 0, 0, 0, 0, 0, -80, 0, -80, 0, 0, 0, 0, 0, 72, 0, -80, 0, 0, 0, 0, 0, -112, 0, -208, 0, 0, 0, 0, 0, -208, 0, 184, 0, 0, 0, 0, 0, 8, 0, -128, 0, 0, 0, 0, 0, -64, 0, -16, 0, 0, 0, 0, 0, 208, 0, -160, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, -48, 0, -288, 0, 0, 0, 0, 0, 368, 0, 32, 0, 0, 0, 0, 0, -112, 0, -32, 0, 0, 0, 0, 0, 32, 0, 96, 0, 0, 0, 0, 0, -160, 0, -64, 0, 0, 0, 0, 0, 56, 0, 128, 0, 0, 0, 0, 0, -56, 0, -80, 0, 0, 0, 0, 0, -160, 0, 144, 0, 0, 0, 0, 0, 72, 0, -72, 0, 0, 0, 0, 0, 72, 0, 128, 0, 0, 0, 0, 0, -192, 0, -144, 0, 0, 0, 0, 0, -320, 0, -32, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 112, 0, 160, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 24, 0, 192, 0, 0, 0, 0, 0, -192, 0, -64, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -464, 0, 112, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 112, 0, -32, 0, 0, 0, 0, 0, 64, 0, 24, 0, 0, 0, 0, 0, -288, 0, 128, 0, 0, 0, 0, 0, 32, 0, -128, 0, 0, 0, 0, 0, 272, 0, 144, 0, 0, 0, 0, 0, -80, 0, 16, 0, 0, 0, 0, 0, -144, 0, 80, 0, 0, 0, 0, 0, 336, 0, -240, 0, 0, 0, 0, 0, 288, 0, 64, 0, 0, 0, 0, 0, 32, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 232, 0, -32, 0, 0, 0, 0, 0, 24, 0, 352, 0, 0, 0, 0, 0, -112, 0, -336, 0, 0, 0, 0, 0, -208, 0, -16, 0, 0, 0, 0, 0, -96, 0, 144, 0, 0, 0, 0, 0, -144, 0, 200, 0, 0, 0, 0, 0, -232, 0, 64, 0, 0, 0, 0, 0, -16, 0, 160, 0, 0, 0, 0, 0, -192, 0, -176, 0, 0, 0, 0, 0, 360, 0, 32, 0, 0, 0, 0, 0, -16, 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: 35262890
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1777, 'source_dim': 44, 'source_embedding_index': 30, 'source_hecke_orbit_code': 4503943258312160, 'source_is_minimal': False, 'source_label': '3552.2.f.b.1777.30', 'source_level': 3552, 'target_conrey_index': 1777, 'target_dim': 44, 'target_embedding_index': 30, 'target_hecke_orbit_code': 4503943258312160, 'target_is_minimal': False, 'target_label': '3552.2.f.b.1777.30', 'target_level': 3552, 'twist_class_label': '888.2.f.b.445.13', 'twist_class_level': 888, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 35262891
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1777, 'source_dim': 44, 'source_embedding_index': 30, 'source_hecke_orbit_code': 4503943258312160, 'source_is_minimal': False, 'source_label': '3552.2.f.b.1777.30', 'source_level': 3552, 'target_conrey_index': 445, 'target_dim': 44, 'target_embedding_index': 14, 'target_hecke_orbit_code': 4503943258309496, 'target_is_minimal': True, 'target_label': '888.2.f.b.445.14', 'target_level': 888, 'twist_class_label': '888.2.f.b.445.13', 'twist_class_level': 888, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 35262892
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1777, 'source_dim': 44, 'source_embedding_index': 30, 'source_hecke_orbit_code': 4503943258312160, 'source_is_minimal': False, 'source_label': '3552.2.f.b.1777.30', 'source_level': 3552, 'target_conrey_index': 445, 'target_dim': 44, 'target_embedding_index': 13, 'target_hecke_orbit_code': 4503943258309496, 'target_is_minimal': True, 'target_label': '888.2.f.b.445.13', 'target_level': 888, 'twist_class_label': '888.2.f.b.445.13', 'twist_class_level': 888, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 35262893
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1777, 'source_dim': 44, 'source_embedding_index': 30, 'source_hecke_orbit_code': 4503943258312160, 'source_is_minimal': False, 'source_label': '3552.2.f.b.1777.30', 'source_level': 3552, 'target_conrey_index': 1777, 'target_dim': 44, 'target_embedding_index': 15, 'target_hecke_orbit_code': 4503943258312160, 'target_is_minimal': False, 'target_label': '3552.2.f.b.1777.15', 'target_level': 3552, 'twist_class_label': '888.2.f.b.445.13', 'twist_class_level': 888, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
• hecke_orbit_code 4503943258312160 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': 6, 'hecke_orbit': 2, 'label': '3552.2.f.b', 'level': 3552, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 22475131
    {'hecke_orbit_code': 4503943258312160, 'n': 1, 'trace_an': 44}
  • id: 22475132
    {'hecke_orbit_code': 4503943258312160, 'n': 2, 'trace_an': 0}
  • id: 22475133
    {'hecke_orbit_code': 4503943258312160, 'n': 3, 'trace_an': 0}
  • id: 22475134
    {'hecke_orbit_code': 4503943258312160, 'n': 4, 'trace_an': 0}
  • id: 22475135
    {'hecke_orbit_code': 4503943258312160, 'n': 5, 'trace_an': 0}
  • id: 22475136
    {'hecke_orbit_code': 4503943258312160, 'n': 6, 'trace_an': 0}
  • id: 22475137
    {'hecke_orbit_code': 4503943258312160, 'n': 7, 'trace_an': 0}
  • id: 22475138
    {'hecke_orbit_code': 4503943258312160, 'n': 8, 'trace_an': 0}
  • id: 22475139
    {'hecke_orbit_code': 4503943258312160, 'n': 9, 'trace_an': -44}
  • id: 22475140
    {'hecke_orbit_code': 4503943258312160, 'n': 10, 'trace_an': 0}
  • id: 22475141
    {'hecke_orbit_code': 4503943258312160, 'n': 11, 'trace_an': 0}
  • id: 22475142
    {'hecke_orbit_code': 4503943258312160, 'n': 12, 'trace_an': 0}
  • id: 22475143
    {'hecke_orbit_code': 4503943258312160, 'n': 13, 'trace_an': 0}
  • id: 22475144
    {'hecke_orbit_code': 4503943258312160, 'n': 14, 'trace_an': 0}
  • id: 22475145
    {'hecke_orbit_code': 4503943258312160, 'n': 15, 'trace_an': 4}
  • id: 22475146
    {'hecke_orbit_code': 4503943258312160, 'n': 16, 'trace_an': 0}
  • id: 22475147
    {'hecke_orbit_code': 4503943258312160, 'n': 17, 'trace_an': 20}
  • id: 22475148
    {'hecke_orbit_code': 4503943258312160, 'n': 18, 'trace_an': 0}
  • id: 22475149
    {'hecke_orbit_code': 4503943258312160, 'n': 19, 'trace_an': 0}
  • id: 22475150
    {'hecke_orbit_code': 4503943258312160, 'n': 20, 'trace_an': 0}
  • id: 22475151
    {'hecke_orbit_code': 4503943258312160, 'n': 21, 'trace_an': 0}
  • id: 22475152
    {'hecke_orbit_code': 4503943258312160, 'n': 22, 'trace_an': 0}
  • id: 22475153
    {'hecke_orbit_code': 4503943258312160, 'n': 23, 'trace_an': 0}
  • id: 22475154
    {'hecke_orbit_code': 4503943258312160, 'n': 24, 'trace_an': 0}
  • id: 22475155
    {'hecke_orbit_code': 4503943258312160, 'n': 25, 'trace_an': -76}
  • id: 22475156
    {'hecke_orbit_code': 4503943258312160, 'n': 26, 'trace_an': 0}
  • id: 22475157
    {'hecke_orbit_code': 4503943258312160, 'n': 27, 'trace_an': 0}
  • id: 22475158
    {'hecke_orbit_code': 4503943258312160, 'n': 28, 'trace_an': 0}
  • id: 22475159
    {'hecke_orbit_code': 4503943258312160, 'n': 29, 'trace_an': 0}
  • id: 22475160
    {'hecke_orbit_code': 4503943258312160, 'n': 30, 'trace_an': 0}
  • id: 22475161
    {'hecke_orbit_code': 4503943258312160, 'n': 31, 'trace_an': 4}
  • id: 22475162
    {'hecke_orbit_code': 4503943258312160, 'n': 32, 'trace_an': 0}
  • id: 22475163
    {'hecke_orbit_code': 4503943258312160, 'n': 33, 'trace_an': 0}
  • id: 22475164
    {'hecke_orbit_code': 4503943258312160, 'n': 34, 'trace_an': 0}
  • id: 22475165
    {'hecke_orbit_code': 4503943258312160, 'n': 35, 'trace_an': 0}
  • id: 22475166
    {'hecke_orbit_code': 4503943258312160, 'n': 36, 'trace_an': 0}
  • id: 22475167
    {'hecke_orbit_code': 4503943258312160, 'n': 37, 'trace_an': 0}
  • id: 22475168
    {'hecke_orbit_code': 4503943258312160, 'n': 38, 'trace_an': 0}
  • id: 22475169
    {'hecke_orbit_code': 4503943258312160, 'n': 39, 'trace_an': -8}
  • id: 22475170
    {'hecke_orbit_code': 4503943258312160, 'n': 40, 'trace_an': 0}
  • id: 22475171
    {'hecke_orbit_code': 4503943258312160, 'n': 41, 'trace_an': -56}
  • id: 22475172
    {'hecke_orbit_code': 4503943258312160, 'n': 42, 'trace_an': 0}
  • id: 22475173
    {'hecke_orbit_code': 4503943258312160, 'n': 43, 'trace_an': 0}
  • id: 22475174
    {'hecke_orbit_code': 4503943258312160, 'n': 44, 'trace_an': 0}
  • id: 22475175
    {'hecke_orbit_code': 4503943258312160, 'n': 45, 'trace_an': 0}
  • id: 22475176
    {'hecke_orbit_code': 4503943258312160, 'n': 46, 'trace_an': 0}
  • id: 22475177
    {'hecke_orbit_code': 4503943258312160, 'n': 47, 'trace_an': -24}
  • id: 22475178
    {'hecke_orbit_code': 4503943258312160, 'n': 48, 'trace_an': 0}
  • id: 22475179
    {'hecke_orbit_code': 4503943258312160, 'n': 49, 'trace_an': 92}
  • id: 22475180
    {'hecke_orbit_code': 4503943258312160, 'n': 50, 'trace_an': 0}
  • id: 22475181
    {'hecke_orbit_code': 4503943258312160, 'n': 51, 'trace_an': 0}
  • id: 22475182
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  • id: 22475187
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  • id: 22475188
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  • id: 22475189
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  • id: 22475190
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  • id: 22475191
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  • id: 22475192
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  • id: 22475193
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  • id: 22475194
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  • id: 22475195
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  • id: 22475196
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  • id: 22475197
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  • id: 22475198
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  • id: 22475201
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  • id: 22475202
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  • id: 22475203
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  • id: 22475204
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  • id: 22475205
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  • id: 22475206
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  • id: 22475207
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  • id: 22475209
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  • id: 22475211
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  • id: 22475212
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  • id: 22475217
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  • id: 22475218
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  • id: 22475219
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  • id: 22475220
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  • id: 22475221
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  • id: 22475222
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  • id: 22475223
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  • id: 22475224
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  • id: 22475225
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  • id: 22475226
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  • id: 22475227
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  • id: 22475228
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  • id: 22475229
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  • id: 22475230
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  • id: 22475231
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  • id: 22475232
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  • id: 22475233
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  • id: 22475235
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  • id: 22475236
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  • id: 22475237
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  • id: 22475238
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  • id: 22475239
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  • id: 22475240
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  • id: 22475241
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  • id: 22475242
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  • id: 22475243
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  • id: 22475244
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  • id: 22475245
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  • id: 22475246
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  • id: 22475247
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  • id: 22475248
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  • id: 22475249
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  • id: 22475250
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  • id: 22475251
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  • id: 22475252
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  • id: 22475253
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  • id: 22475254
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  • id: 22475255
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  • id: 22475256
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  • id: 22475257
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  • id: 22475258
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  • id: 22475259
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  • id: 22475260
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  • id: 22475261
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  • id: 22475262
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  • id: 22475263
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  • id: 22475264
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  • id: 22475265
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  • id: 22475266
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  • id: 22475267
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  • id: 22475268
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  • id: 22475269
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  • id: 22475270
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  • id: 22475271
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  • id: 22475272
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  • id: 22475273
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  • id: 22475274
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  • id: 22475275
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  • id: 22475276
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  • id: 22475277
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  • id: 22475278
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  • id: 22475279
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  • id: 22475280
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  • id: 22475281
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  • id: 22475282
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  • id: 22475283
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  • id: 22475284
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  • id: 22475285
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  • id: 22475286
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  • id: 22475287
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  • id: 22475288
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  • id: 22475289
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  • id: 22475290
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  • id: 22475291
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  • id: 22475292
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  • id: 22475293
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  • id: 22475294
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  • id: 22475295
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  • id: 22475296
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  • id: 22475297
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  • id: 22475298
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  • id: 22475299
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  • id: 22475300
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  • id: 22475301
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  • id: 22475302
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  • id: 22475303
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  • id: 22475304
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  • id: 22475305
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  • id: 22475306
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  • id: 22475307
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  • id: 22475308
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  • id: 22475310
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  • id: 22475311
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  • id: 22475312
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  • id: 22475313
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  • id: 22475314
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  • id: 22475315
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  • id: 22475316
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  • id: 22475317
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  • id: 22475318
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  • id: 22475319
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  • id: 22475320
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  • id: 22475321
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  • id: 22475322
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  • id: 22475323
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  • id: 22475324
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  • id: 22475325
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  • id: 22475326
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  • id: 22475327
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  • id: 22475328
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  • id: 22475329
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  • id: 22475330
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  • id: 22475331
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  • id: 22475332
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  • id: 22475333
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  • id: 22475334
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  • id: 22475335
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  • id: 22475336
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  • id: 22475337
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  • id: 22475338
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  • id: 22475339
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  • id: 22475340
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  • id: 22475341
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  • id: 22475342
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  • id: 22475343
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  • id: 22475344
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  • id: 22475345
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  • id: 22475346
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  • id: 22475347
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  • id: 22475348
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  • id: 22475349
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  • id: 22475350
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  • id: 22475351
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  • id: 22475352
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  • id: 22475353
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  • id: 22475354
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  • id: 22475355
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  • id: 22475356
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  • id: 22475357
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  • id: 22475358
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  • id: 22475359
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  • id: 22475360
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  • id: 22475361
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  • id: 22475362
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  • id: 22475363
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  • id: 22475364
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  • id: 22475365
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  • id: 22475366
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  • id: 22475367
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  • id: 22475368
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  • id: 22475369
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  • id: 22475370
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  • id: 22475371
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  • id: 22475372
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  • id: 22475373
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  • id: 22475374
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  • id: 22475375
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  • id: 22475376
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  • id: 22475377
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  • id: 22475378
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  • id: 22475379
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  • id: 22475380
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  • id: 22475381
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  • id: 22475382
    {'hecke_orbit_code': 4503943258312160, 'n': 961, 'trace_an': 364}
  • id: 22475383
    {'hecke_orbit_code': 4503943258312160, 'n': 967, 'trace_an': -116}
  • id: 22475384
    {'hecke_orbit_code': 4503943258312160, 'n': 971, 'trace_an': 0}
  • id: 22475385
    {'hecke_orbit_code': 4503943258312160, 'n': 977, 'trace_an': 292}
  • id: 22475386
    {'hecke_orbit_code': 4503943258312160, 'n': 983, 'trace_an': -96}
  • id: 22475387
    {'hecke_orbit_code': 4503943258312160, 'n': 991, 'trace_an': 276}
  • id: 22475388
    {'hecke_orbit_code': 4503943258312160, 'n': 997, 'trace_an': 0}