Embedded newform data - 755.2.f.d.603.10

Formats: - HTML - YAML - JSON - 2025-09-23T12:21:26.552367

• 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': 3020, 'analytic_conductor': 6.028705352606669, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 755, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 4, 'char_parity': 1, 'char_values': [755, 4, [152, 6], [1, 2]], 'cm_discs': [-151], 'conrey_index': 452, 'dim': 28, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [11025, 223440, 2264192, 6896848, 11151616, 6617548, 1132096, 1664362, 9481696, 3217536, 60648, -655424, 2991352, 119168, 722, -42560, 269696, -1064, 0, -532, 10192, -38, 0, 0, 168, 0, 0, 0, 1]], [3, [0, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13511142513050355, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 151, 2, -1, 2, -151], [1, 1, 5, 3, -1, 4, 0], [1, 1, 755, 6, 1, 4, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '755.2.f.d', 'level': 755, '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': True, 'level_primes': [5, 151], 'level_radical': 755, 'minimal_twist': '755.2.f.d', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 14, 'rm_discs': [], 'sato_tate_group': '1.2.1.d4', 'self_twist_discs': [-151], 'self_twist_type': 1, 'space_label': '755.2.f', 'trace_display': [0, 0, 0, 0], 'traces': [28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, -14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, -154, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -252, 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, 0, 0, 0, 0, 308, 0, 0, 0, 0, 0, 0, 266, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -294, 0, 0, 0, -28, 0, 0, -56, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, -392, 0, 0, 0, -196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 406, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -308, 0, 0, 0, 0, 0, -434, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 364, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14, 0, 42, 0, 0, 0, 0, 392, 0, 0, 0, 0, -98, 0, 0, 0, 0, 0, 0, 0, -126, -532, 0, 0, 0, 0, 0, 0, 0, 0, 154, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 182, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, -238, 0, 0, 0, 0, 0, 546, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -266, 0, 0, 0, 0, 0, 0, 0, 0, 0, -476, 588, 0, 0, 0, 0, 0, 0, 0, 0, 294, 0, 0, 0, 0, 0, 0, 0, -574, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 322, 0, 0, 504, 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, 0, 532, 0, 0, 0, 0, 0, 0, 0, 0, 0, -378, 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, -406, 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, -672, 0, 0, 0, 434, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -588, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 462, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -616, 0, 0, 686, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 728, 0, 0, 0, 644, 0, -518, 0, 0, 0, 0, 0, -714, 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, -546, 0, 0, 0, 0, 0, 0, 672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 574, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -364, 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, 602, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -812, 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, 0, 0, 0, -756, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -658, 476, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 826, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -504, 0, 0, 0, 0, 0, 0, 784, 0, 0, 0, 0, -686, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 196, 0, 0, 0, 0, 868, 0, 0, 0, 0, 0, 0, -854, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -364, 0, 0, 0, 714, 0, 812, 0, 0, 0, 0, 0, 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], [0.8479734260422337, -0.8479734260422337], [0.0, 0.0], [0.0, -0.4381178625476071], [-0.1866088769527569, 0.9824342863736133], [0.0, 0.0], [0.0, 0.0], [0.4764611211274389, 0.4764611211274389], [0.0, 1.0], [0.6748387989580669, 0.9913175363971127], [-1.2438679796866803, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2461706010643232, 0.0], [-1.3332403916618625, 1.3332403916618625], [0.8479734260422337, 0.8479734260422337], [0.0, -0.44345785642007446], [0.4304220096394912, 0.08175668230295129], [0.0, 0.0], [-1.0547669922791458, 1.0547669922791458], [0.0, 0.0], [0.0, 0.0], [-0.9303542540848616, -0.3666619177201263], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.4294924399836504], [0.0, 0.0], [1.9993048587428246, 0.0], [0.5802584328901849, -0.5802584328901849], [0.0, 0.0], [0.0, 2.2611048453107983], [0.0, 0.0], [0.4381178625476071, 0.0], [1.2124434827063195, -1.2124434827063195], [-0.3760404778138755, -0.3760404778138755], [0.0, 0.0], [-0.55700361624485, 0.3791798667943643], [0.0, 0.0], [0.0, 0.0], [0.029115773778235335, 0.029115773778235335], [0.0, 0.5449607805517388], [-0.9824342863736133, -0.1866088769527569], [0.0, 0.0], [1.4128857918588893, -1.4128857918588893], [0.0, 0.0], [0.0, -1.0], [-1.099835246837658, 0.4779961217009558], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.23211680676682608, -1.222018550966472], [0.0, 0.0], [0.0, 0.0], [1.212171601834408, 1.212171601834408], [0.0, 1.1057713324916842], [0.0, 0.0], [0.0, 0.0], [1.695357390771037, -1.695357390771037], [0.0, 0.0], [0.0, 0.26208313840874803], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5841164306570297, 0.5841164306570297], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4764611211274389, 0.4764611211274389], [0.0, 0.0], [0.0, -2.0562397078261108], [0.0, 0.0], [-0.19428680818470667, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.2325464963561554, 1.224280725156405], [-1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0610265805507246, -1.5586155649428726], [0.049378804885201695, 0.0], [0.0, 0.0], [-0.5926547321360381, -0.5926547321360381], [0.0, 0.0], [-0.9913175363971127, 0.6748387989580669], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -2.3961792110579534], [0.43566820270882817, 0.08275317256242702], [0.0, 0.0], [-0.6416605607725879, 0.6416605607725879], [-0.8479734260422337, -0.8479734260422337], [0.0, -1.2438679796866803], [-0.1606411356691483, 0.4076048172117329], [0.0, 0.0], [0.0, 0.0], [0.8423913350673919, 0.8423913350673919], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8394103734741565, -1.2330681412262539], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6262861723336004, 0.0], [0.0, 0.0], [0.9376647052322593, 0.9376647052322593], [0.0, 0.0], [0.0, 0.0], [0.547207550889824, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.8759311712934519], [0.5338336019987487, -0.8455895489994194], [0.0, 0.0], [-0.12471488466935646, 0.12471488466935646], [0.8024979696745518, 0.8024979696745518], [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], [-1.2704744234871934, 0.0], [1.1492947111016731, -1.1492947111016731], [0.0, 0.0], [0.0, 0.9933800261839365], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.2461706010643232], [-1.4043823851518127, -0.2667559788378053], [0.0, 0.0], [0.0, 0.0], [-0.5311931471030693, -0.5311931471030693], [0.0, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.2112904274426795, -0.2112904274426795], [-1.3332403916618625, -1.3332403916618625], [0.0, 0.0], [-0.3730880343761888, 1.9641856421423047], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.4617844049247359, 0.678347153932744], [0.0, 0.0], [-0.8479734260422337, 0.8479734260422337], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.260419200819215, -1.260419200819215], [0.0, 0.0], [0.0, 1.0], [-2.2213869251188334, -0.4219422358558852], [0.44345785642007446, 0.0], [0.01275614057414013, -0.01275614057414013], [0.9923928755499432, 0.9923928755499432], [0.0, 0.0], [0.0, 0.0], [-1.5500717078908157, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.08175668230295129, 0.4304220096394912], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9648933310244058, 1.417398764377437], [0.0, 0.0], [1.6583750324131195, -1.6583750324131195], [-0.6190105031530998, -0.6190105031530998], [0.0, 0.0], [0.43960754972229277, -0.29926256721504196], [-1.9614575410680002, 0.0], [0.0, 0.0], [-0.43812793694555907, -0.43812793694555907], [0.0, 1.0882222081490245], [0.0, 0.0], [-0.4381178625476071, 0.0], [0.0, 0.0], [-1.0547669922791458, -1.0547669922791458], [0.0, 0.0], [-0.2685774825552872, -0.6179777793386234], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.428650932930775, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.551603027941424], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.03403759628040322, 0.023171072587669168], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5353881555429547, -0.10169451924205779], [0.0, 0.0], [0.0, 0.0], [0.5572856147237584, 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-2.103628511766794], [0.0, 0.0], [0.0, 0.0], [-1.3687042118713828, -1.3687042118713828], [0.0, 0.0], [-0.08275317256242702, 0.43566820270882817], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.010151660795045068, 0.014912478928628639], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.1601501064954585, 0.7897714664908745], [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], [-0.6416605607725879, -0.6416605607725879], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8691845299993406, 0.8691845299993406], [0.0, 0.0], [0.28925714060574703, -1.5228435921696415], [0.0, 0.0], [0.8479734260422337, -0.8479734260422337], [-1.390010282514391, -1.390010282514391], [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], [1.2438679796866803, 0.0], [0.2441567823513023, -0.2441567823513023], [-0.6265553046241226, -0.6265553046241226], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 2.8579911807954477], [-0.4076048172117329, -0.1606411356691483], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.22901163393232624, 0.22901163393232624], [0.1803087815504354, 0.1803087815504354], [0.0, 0.0], [0.0, 0.0], [-1.6631043724290795, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.0066134168948788], [0.0, 0.0], [-0.8665523232902327, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.6790680036026049, 1.6790680036026049], [0.0, 0.0], [0.0, 0.0], [-1.5725588044696577, 0.6834450994769218], [1.077142512236636, 0.0], [-0.8423913350673919, 0.8423913350673919], [0.8294750430532795, 0.8294750430532795], [0.0, 0.0], [0.0, 0.0], [-0.44345785642007446, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.3197769891434967, 1.938711993873705], [0.0, 0.0], [-1.4006155693540532, 1.4006155693540532], [0.0, 0.0], [0.0, 0.0], [0.723649996738348, -0.492624287107626], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.3779797260508597], [0.0, 0.0], [-0.061420714271898616, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.21197113550661492, 0.4877305809778713], [0.0, 0.0], [0.0, 0.0], [-0.6409364959339315, -0.6409364959339315], [0.0, 0.0], [0.3660253889292156, -1.9270031396112832], [-0.8634061643164403, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [2.997219918192666, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.7963871327853635], [0.5121904693484929, -0.34867334479841466], [0.0, 0.0], [0.0, 0.0], [0.2607231231863656, 0.2607231231863656], [0.0, 0.0], [-1.0691068084788047, -0.20307192413773875], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.6359668144740445], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.08175668230295129, -0.4304220096394912], [0.0, 0.0], [0.10662583871998883, -0.10662583871998883], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-3.2322322823821867, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.2330681412262539, -0.8394103734741565], [1.8392570399108013, 0.0], [1.1601135042038437, -1.1601135042038437], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.004840014916980134, 0.004840014916980134], [0.0, 0.0], [0.0, 0.0], [0.6572415010337316, -0.148539588026086]], 'angles': [-0.27266163701566987, -0.375, None, -0.125, -0.3568263961441876, -0.375, 0.32088190592070165, -0.4644149955974348, -0.375, 0.12672890230593065, -0.004196326232568469, -0.21106174614611312, 0.0, -0.12172309270451598, -0.1318972048587566, -0.375, 0.09323668848575359, 0.0, -0.125, 0.0, -0.375, -0.25, -0.375, -0.25, -0.4499521385698173, 0.0, -0.023445164087291307, -0.125, -0.25, -0.375, -0.38905361158194457, 0.0, -0.22400548465272077, 0.08272570439261531, -0.25, None, -0.125, -0.375, -0.19991426166617052, -0.0012061526243106427, -0.25, 0.0, -0.46870393269085947, -0.17513159149142316, -0.125, -0.25, 0.0, -0.06053503106904825, -0.42199598226861695, -0.27368314613778577, -0.375, -0.2772685392585761, -0.06847196612640899, -0.39128250415046184, -0.125, -0.375, 0.23831488459366287, 0.0, -0.125, 0.0, -0.375, -0.375, -0.23272654422153516, -0.16236077770966179, -0.4231889111406668, -0.125, -0.45530787843290293, -0.125, -0.1353489921152045, 0.12256658374030098, -0.375, -0.25, -0.125, -0.375, -0.25, 0.07517548433850922, -0.25, -0.19235421276788386, -0.09013568342999415, -0.25, -0.25, 0.0, 0.0, -0.375, 0.08564155678281316, -0.375, -0.25, -0.44393176599597545, -0.4775269887917223, -0.05087181601245098, -0.125, -0.25, -0.2555337075515298, -0.23998716914527776, -0.25, 0.10155529152313683, -0.25, -0.3693863157070895, -0.375, -0.417129420160176, -0.49292445430535214, -0.125, -0.20676473555456434, -0.4339735292726124, -0.1831925079803288, -0.1571517400065453, -0.125, -0.375, -0.25, -0.10386509142809583, -0.125, -0.48066787353011226, -0.125, -0.25, 0.0, -0.4584054894313795, 0.10892968254956249, -0.27605432729269164, -0.20583797530609202, 0.08111780979758335, 0.0, -0.14687346453008654, -0.125, -0.375, 0.0, -0.43577362472121717, -0.3568143536347936, -0.25, -0.1746865678983236, -0.375, -0.25, -0.4006439573976449, 0.0, 0.36742857990463573, 0.0, -0.25, -0.42256344047365024, -0.2682448321356264, -0.337601840787561, -0.25, 0.0, 0.0, -0.38594378440598587, -0.4297319188809981, 0.1627848815367873, -0.2513004489279913, -0.4154855006077987, -0.125, -0.25, -0.375, -0.125, 0.0, -0.4044873728847938, -0.125, -0.40088685517112077, -0.4062736576899011, -0.25, -0.25, 0.3529116314784135, 0.0, -0.125, -0.199860712151751, -0.125, 0.0, -0.125, -0.375, -0.06424490452218881, -0.37554469411335073], 'char_orbit_index': 6, 'conrey_index': 603, 'dual_conrey_index': 452, 'dual_embedding_index': 10, 'dual_embedding_m': 10, 'embedding_index': 10, 'embedding_m': 24, 'hecke_orbit': 4, 'hecke_orbit_code': 13511142513050355, 'label': '755.2.f.d.603.10', 'level': 755, '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': 3020, 'analytic_conductor': 6.028705352606669, 'char_conductor': 755, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 4, 'char_parity': 1, 'char_values': [755, 4, [152, 6], [1, 2]], 'conrey_index': 452, 'cusp_dim': 148, 'dim': 148, 'eis_dim': 8, 'eis_new_dim': 8, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 343630938867, 'hecke_orbit_dims': [4, 4, 4, 28, 108], 'label': '755.2.f', 'level': 755, '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': True, 'level_primes': [5, 151], 'level_radical': 755, 'mf_dim': 156, 'mf_new_dim': 156, 'num_forms': 5, 'prim_orbit_index': 6, 'relative_dim': 74, 'sturm_bound': 152, 'trace_bound': 5, 'trace_display': [-4, 0, -4, 0], 'traces': [148, -4, 0, 0, -4, 0, 0, 4, 0, 4, 0, 0, 0, 0, 0, -152, -4, 4, 0, 32, -16, -40, 0, 0, -4, 0, 0, 0, 0, 0, 16, -56, 0, 0, 0, -104, -4, -10, 0, -8, 0, 56, 4, 0, 28, 0, 32, 0, 0, 28, 0, 0, 0, 0, -64, 0, 0, 54, 0, 0, 0, -60, 0, 0, 0, 0, 0, -10, 0, 0, 0, 80, 0, 0, 0, 144, 0, 24, 0, -28, -124, 0, 0, 0, 12, -144, 0, 8, 0, 36, -80, 0, 0, 0, -28, 0, 16, -172, 0, -12, 0, 0, -4, 0, -4, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 112, 0, 68, 0, 0, 108, 0, 108, 0, -16, 0, -120, 150, 0, 0, 0, 0, 0, 0, 0, -160, 116, 196, 0, 0, 0, 0, 0, 0, 180, 0, 0, 34, 0, 0, -24, -48, 84, 0, -80, 368, 0, 0, 0, -8, -32, 84, 0, 0, 0, 0, 52, -300, 0, 84, 32, 96, 48, 0, 0, -160, 0, 0, 0, 36, 0, -276, -72, 0, -64, 0, -48, -292, 0, 344, 56, 0, -120, 0, -36, 48, 0, 72, 0, -88, 16, 0, 0, 0, 0, -152, 0, 0, 0, -236, 0, 0, -16, 0, 0, 0, 0, 0, 0, 92, 0, 0, 56, 0, 120, 0, -128, 0, 0, 0, -48, 44, 0, 0, -28, 144, 52, 0, 0, 0, 88, 132, 0, 0, 48, -240, 0, 186, 0, -300, -72, 0, 0, 0, 0, 72, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -148, 0, 0, 0, 0, 92, 0, 0, -272, 256, 0, -86, 0, 0, 0, 0, 0, 0, 0, 0, 204, 88, 0, 160, 0, 0, 0, 0, -148, 24, 0, 0, 0, 0, 0, 88, -104, 0, 0, 184, -348, 0, 0, -84, 8, 96, 228, 0, 0, 0, 0, 84, 0, -44, -80, -64, -288, 0, 0, 0, 80, 0, 0, 0, 216, 0, 48, 0, 0, 320, 0, -172, 0, -42, -200, 34, 0, 0, 204, -104, 132, 0, 0, 0, 216, -22, 0, 0, 0, 0, 188, 0, 0, -194, -260, 0, 0, 0, 0, 304, 0, 0, 0, -70, -144, 0, 0, 0, 0, -312, 0, 16, 0, 44, 0, 26, -8, 0, 0, 192, -108, 348, 0, -96, 0, -272, -432, 0, 0, -176, 188, 0, 0, 508, -248, 380, 0, 0, 4, 0, -32, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 134, 0, -384, 0, 0, 156, 0, -32, -248, -120, 0, 0, -82, 0, 0, 0, 0, 0, 0, 0, 332, 0, -408, -52, 0, 0, 0, 0, 40, -80, 0, 0, 58, 0, 0, 8, 0, -196, 0, -160, 106, 0, 0, -48, -452, -12, 0, 0, 0, 0, 0, 0, 404, 328, 294, 124, 0, 60, 0, 0, -92, 0, 0, 0, -572, 0, 0, 76, 0, -92, 0, 0, 568, 168, 204, -172, 0, 516, -664, 376, 296, 0, -456, 0, -72, -292, 0, 0, 0, 0, 68, 0, 0, 352, 260, 0, 0, 244, 0, -132, 0, 0, 0, 24, 322, 0, 0, -328, 0, 80, 0, 0, 0, -376, 0, 140, 0, 0, 0, -620, -468, 0, 0, 0, 0, -444, 0, 0, 0, 276, 48, 0, -274, -16, 720, -236, 0, 0, -352, 0, -188, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, -408, 300, 444, 0, -102, 144, 0, 0, 0, 0, 0, 0, 0, 0, -260, 592, 260, 0, 0, 0, 0, -464, -516, 0, 0, 440, 0, 0, 0, -120, 24, 0, 476, 0, 0, 0, 522, 216, 0, -456, 0, 0, 0, 0, 432, 224, -668, -112, 0, 316, 848, 0, 0, 0, 0, 0, 0, -168, 0, -140, 448, 0, 294, 0, 140, -112, -196, -456, 0, 0, 96, 300, -384, 0, 0, -328, 0, 132, 0, 0, 0, 0, 0, 0, 0, 0, -144, 268, 0, 0, 704, 0, -52, 0, 0, 0, -772, -72, 0, 0, -152, 0, -692, 0, 548, 0, 130, 0, 0, -60, 0, 0, -514, 0, -720, 0, 208, 0, 0, 356, 0, 0, -148, 0, 0, 232, 588, 488, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -582, 0, 88, 0, 0, 224, 0, 356, 744, 0, 0, 512, -648, 0, 0, 0, 0, 0, 0, 0, -364, -40, -352, 196, 0, 0, 0, 0, 476, 0, 0, 0, -572, 0, 0, 24, -392, 20, 0, 0, 194, 0, 0, 212, 0, -68, -544, 0, 0, 0, 0, 168, -132, 168, 0, -516, -208, -408, 0, 0, 648, 0, 0, 0, 0, 0, -304, -92, 0, 0, 0, 40, -352, 452, 0, 96, 0, 352, -780, 0, -488, 0, 494, 0, 0, 36, 0, 0, 0, 0, 164, 0, 0, 216, 0, 0, 0, -440, 0, 0, 0, 0, 0, 176, 0, 0, 0, 124, 0, 0, 0, 168, 0, -272, 0, 120, -144, 0, 0, 0, 988, -492, 0, 160, 0, 416, 16, 0, 0, 0, -392, 0, -228, -392, 0, 524, 0, 0, 636, 0, -28, 0, 0, 0, 0, 164, 0, 0, 0, 0, 0, -104, 0, 88, 0, 0, -184, 0, 700, 0, -876, 0, -640, 244, 0, 0, 0, 0, 0, 0, 0, -464, 282, 228, 0, 0, 0, 0, 0, 0, 1056, 0, 0, 88, 0, 0, -192, 200, 374, 0, -352, 552, 0, 0, 0, 8, -224, 352, 0, 0, 0, 0, 12, -480, 0, -88, 128, -176, -164, 0, 0, -448, 0, 0, 0, 284, 0, -248, -756, 0, -350, 0, 336, -312, 0, 776, -556, 0, -708, 0, 652, -160, 0, 376, 0, -236, -132, 0, 0, 0, 0, 44, 0, 0, 0, -164, 0, 0, -806, 0, -472, 0, 0, 0, 0, 212, 0, 0, -340, 0, 720, 0, -1056, 0, 0, 0, -68, 368, 0, 0, 662, 96, 584, 0, 0, 0, 376, 228, 0, 0, 936], '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: 43237498
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 603, 'source_dim': 28, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511142513050355, 'source_is_minimal': True, 'source_label': '755.2.f.d.603.10', 'source_level': 755, 'target_conrey_index': 603, 'target_dim': 28, 'target_embedding_index': 10, 'target_hecke_orbit_code': 13511142513050355, 'target_is_minimal': True, 'target_label': '755.2.f.d.603.10', 'target_level': 755, 'twist_class_label': '755.2.f.d.452.10', 'twist_class_level': 755, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 43237499
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 603, 'source_dim': 28, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511142513050355, 'source_is_minimal': True, 'source_label': '755.2.f.d.603.10', 'source_level': 755, 'target_conrey_index': 452, 'target_dim': 28, 'target_embedding_index': 10, 'target_hecke_orbit_code': 13511142513050355, 'target_is_minimal': True, 'target_label': '755.2.f.d.452.10', 'target_level': 755, 'twist_class_label': '755.2.f.d.452.10', 'twist_class_level': 755, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 43237500
    {'conductor': 151, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 603, 'source_dim': 28, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511142513050355, 'source_is_minimal': True, 'source_label': '755.2.f.d.603.10', 'source_level': 755, 'target_conrey_index': 603, 'target_dim': 28, 'target_embedding_index': 10, 'target_hecke_orbit_code': 13511142513050355, 'target_is_minimal': True, 'target_label': '755.2.f.d.603.10', 'target_level': 755, 'twist_class_label': '755.2.f.d.452.10', 'twist_class_level': 755, 'twisting_char_label': '151.150', 'twisting_conrey_index': 150, 'weight': 2}
  • id: 43237501
    {'conductor': 755, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 603, 'source_dim': 28, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511142513050355, 'source_is_minimal': True, 'source_label': '755.2.f.d.603.10', 'source_level': 755, 'target_conrey_index': 452, 'target_dim': 28, 'target_embedding_index': 10, 'target_hecke_orbit_code': 13511142513050355, 'target_is_minimal': True, 'target_label': '755.2.f.d.452.10', 'target_level': 755, 'twist_class_label': '755.2.f.d.452.10', 'twist_class_level': 755, 'twisting_char_label': '755.452', 'twisting_conrey_index': 452, 'weight': 2}
• hecke_orbit_code 13511142513050355 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': 4, 'label': '755.2.f.d', 'level': 755, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 36610693
    {'hecke_orbit_code': 13511142513050355, 'n': 1, 'trace_an': 28}
  • id: 36610694
    {'hecke_orbit_code': 13511142513050355, 'n': 2, 'trace_an': 0}
  • id: 36610695
    {'hecke_orbit_code': 13511142513050355, 'n': 3, 'trace_an': 0}
  • id: 36610696
    {'hecke_orbit_code': 13511142513050355, 'n': 4, 'trace_an': 0}
  • id: 36610697
    {'hecke_orbit_code': 13511142513050355, 'n': 5, 'trace_an': 0}
  • id: 36610698
    {'hecke_orbit_code': 13511142513050355, 'n': 6, 'trace_an': 0}
  • id: 36610699
    {'hecke_orbit_code': 13511142513050355, 'n': 7, 'trace_an': 0}
  • id: 36610700
    {'hecke_orbit_code': 13511142513050355, 'n': 8, 'trace_an': 0}
  • id: 36610701
    {'hecke_orbit_code': 13511142513050355, 'n': 9, 'trace_an': 0}
  • id: 36610702
    {'hecke_orbit_code': 13511142513050355, 'n': 10, 'trace_an': 0}
  • id: 36610703
    {'hecke_orbit_code': 13511142513050355, 'n': 11, 'trace_an': 0}
  • id: 36610704
    {'hecke_orbit_code': 13511142513050355, 'n': 12, 'trace_an': 0}
  • id: 36610705
    {'hecke_orbit_code': 13511142513050355, 'n': 13, 'trace_an': 0}
  • id: 36610706
    {'hecke_orbit_code': 13511142513050355, 'n': 14, 'trace_an': 0}
  • id: 36610707
    {'hecke_orbit_code': 13511142513050355, 'n': 15, 'trace_an': 0}
  • id: 36610708
    {'hecke_orbit_code': 13511142513050355, 'n': 16, 'trace_an': -112}
  • id: 36610709
    {'hecke_orbit_code': 13511142513050355, 'n': 17, 'trace_an': 0}
  • id: 36610710
    {'hecke_orbit_code': 13511142513050355, 'n': 18, 'trace_an': 0}
  • id: 36610711
    {'hecke_orbit_code': 13511142513050355, 'n': 19, 'trace_an': 0}
  • id: 36610712
    {'hecke_orbit_code': 13511142513050355, 'n': 20, 'trace_an': 0}
  • id: 36610713
    {'hecke_orbit_code': 13511142513050355, 'n': 21, 'trace_an': 0}
  • id: 36610714
    {'hecke_orbit_code': 13511142513050355, 'n': 22, 'trace_an': 0}
  • id: 36610715
    {'hecke_orbit_code': 13511142513050355, 'n': 23, 'trace_an': 0}
  • id: 36610716
    {'hecke_orbit_code': 13511142513050355, 'n': 24, 'trace_an': 0}
  • id: 36610717
    {'hecke_orbit_code': 13511142513050355, 'n': 25, 'trace_an': 0}
  • id: 36610718
    {'hecke_orbit_code': 13511142513050355, 'n': 26, 'trace_an': 0}
  • id: 36610719
    {'hecke_orbit_code': 13511142513050355, 'n': 27, 'trace_an': 0}
  • id: 36610720
    {'hecke_orbit_code': 13511142513050355, 'n': 28, 'trace_an': 0}
  • id: 36610721
    {'hecke_orbit_code': 13511142513050355, 'n': 29, 'trace_an': 0}
  • id: 36610722
    {'hecke_orbit_code': 13511142513050355, 'n': 30, 'trace_an': 0}
  • id: 36610723
    {'hecke_orbit_code': 13511142513050355, 'n': 31, 'trace_an': 0}
  • id: 36610724
    {'hecke_orbit_code': 13511142513050355, 'n': 32, 'trace_an': 0}
  • id: 36610725
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  • id: 36610726
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  • id: 36610727
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  • id: 36610728
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  • id: 36610729
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  • id: 36610730
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  • id: 36610731
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  • id: 36610732
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  • id: 36610733
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  • id: 36610734
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  • id: 36610735
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  • id: 36610736
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  • id: 36610737
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  • id: 36610738
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  • id: 36610739
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  • id: 36610740
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  • id: 36610741
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  • id: 36610742
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  • id: 36610743
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  • id: 36610744
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  • id: 36610745
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  • id: 36610746
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  • id: 36610747
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  • id: 36610748
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  • id: 36610749
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  • id: 36610750
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  • id: 36610751
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  • id: 36610752
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  • id: 36610753
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  • id: 36610754
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  • id: 36610755
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  • id: 36610756
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  • id: 36610757
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  • id: 36610758
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  • id: 36610759
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  • id: 36610760
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  • id: 36610761
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  • id: 36610762
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  • id: 36610763
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  • id: 36610764
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  • id: 36610767
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  • id: 36610768
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  • id: 36610769
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  • id: 36610770
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  • id: 36610771
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  • id: 36610772
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  • id: 36610773
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  • id: 36610776
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  • id: 36610777
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  • id: 36610778
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  • id: 36610779
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  • id: 36610780
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  • id: 36610781
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  • id: 36610782
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  • id: 36610783
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  • id: 36610785
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  • id: 36610786
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  • id: 36610787
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  • id: 36610788
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  • id: 36610789
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  • id: 36610790
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  • id: 36610791
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  • id: 36610792
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  • id: 36610793
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  • id: 36610795
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  • id: 36610796
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  • id: 36610797
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  • id: 36610798
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  • id: 36610799
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  • id: 36610800
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  • id: 36610801
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  • id: 36610802
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  • id: 36610803
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  • id: 36610804
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  • id: 36610805
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  • id: 36610806
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  • id: 36610807
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  • id: 36610808
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  • id: 36610809
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  • id: 36610810
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  • id: 36610811
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  • id: 36610812
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  • id: 36610813
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  • id: 36610814
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  • id: 36610815
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  • id: 36610816
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  • id: 36610817
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  • id: 36610818
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  • id: 36610819
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  • id: 36610820
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  • id: 36610821
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  • id: 36610822
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  • id: 36610823
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  • id: 36610824
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  • id: 36610825
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  • id: 36610826
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  • id: 36610827
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  • id: 36610828
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  • id: 36610829
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  • id: 36610830
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  • id: 36610831
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  • id: 36610832
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  • id: 36610833
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  • id: 36610834
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  • id: 36610835
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  • id: 36610836
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  • id: 36610837
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  • id: 36610838
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  • id: 36610839
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  • id: 36610840
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  • id: 36610841
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  • id: 36610842
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  • id: 36610843
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  • id: 36610844
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  • id: 36610845
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  • id: 36610846
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  • id: 36610847
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  • id: 36610848
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  • id: 36610849
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  • id: 36610850
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  • id: 36610851
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  • id: 36610852
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  • id: 36610853
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  • id: 36610854
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  • id: 36610855
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  • id: 36610856
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  • id: 36610857
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  • id: 36610858
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  • id: 36610859
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  • id: 36610860
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  • id: 36610861
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  • id: 36610862
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  • id: 36610863
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  • id: 36610864
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  • id: 36610865
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  • id: 36610866
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  • id: 36610867
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  • id: 36610868
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  • id: 36610869
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  • id: 36610870
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  • id: 36610871
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  • id: 36610872
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  • id: 36610873
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  • id: 36610874
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  • id: 36610875
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  • id: 36610876
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  • id: 36610877
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  • id: 36610878
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  • id: 36610879
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  • id: 36610880
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  • id: 36610881
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  • id: 36610882
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  • id: 36610883
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  • id: 36610884
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  • id: 36610885
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  • id: 36610886
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  • id: 36610887
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  • id: 36610890
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  • id: 36610916
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  • id: 36610917
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  • id: 36610918
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  • id: 36610919
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  • id: 36610920
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  • id: 36610921
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  • id: 36610922
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  • id: 36610923
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  • id: 36610925
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  • id: 36610926
    {'hecke_orbit_code': 13511142513050355, 'n': 839, 'trace_an': 0}
  • id: 36610927
    {'hecke_orbit_code': 13511142513050355, 'n': 841, 'trace_an': -812}
  • id: 36610928
    {'hecke_orbit_code': 13511142513050355, 'n': 853, 'trace_an': 0}
  • id: 36610929
    {'hecke_orbit_code': 13511142513050355, 'n': 857, 'trace_an': 0}
  • id: 36610930
    {'hecke_orbit_code': 13511142513050355, 'n': 859, 'trace_an': 0}
  • id: 36610931
    {'hecke_orbit_code': 13511142513050355, 'n': 863, 'trace_an': 0}
  • id: 36610932
    {'hecke_orbit_code': 13511142513050355, 'n': 877, 'trace_an': 0}
  • id: 36610933
    {'hecke_orbit_code': 13511142513050355, 'n': 881, 'trace_an': 0}
  • id: 36610934
    {'hecke_orbit_code': 13511142513050355, 'n': 883, 'trace_an': 0}
  • id: 36610935
    {'hecke_orbit_code': 13511142513050355, 'n': 887, 'trace_an': 0}
  • id: 36610936
    {'hecke_orbit_code': 13511142513050355, 'n': 907, 'trace_an': 0}
  • id: 36610937
    {'hecke_orbit_code': 13511142513050355, 'n': 911, 'trace_an': 0}
  • id: 36610938
    {'hecke_orbit_code': 13511142513050355, 'n': 919, 'trace_an': 0}
  • id: 36610939
    {'hecke_orbit_code': 13511142513050355, 'n': 929, 'trace_an': 0}
  • id: 36610940
    {'hecke_orbit_code': 13511142513050355, 'n': 937, 'trace_an': 0}
  • id: 36610941
    {'hecke_orbit_code': 13511142513050355, 'n': 941, 'trace_an': 0}
  • id: 36610942
    {'hecke_orbit_code': 13511142513050355, 'n': 947, 'trace_an': 0}
  • id: 36610943
    {'hecke_orbit_code': 13511142513050355, 'n': 953, 'trace_an': 0}
  • id: 36610944
    {'hecke_orbit_code': 13511142513050355, 'n': 961, 'trace_an': 868}
  • id: 36610945
    {'hecke_orbit_code': 13511142513050355, 'n': 967, 'trace_an': 0}
  • id: 36610946
    {'hecke_orbit_code': 13511142513050355, 'n': 971, 'trace_an': 0}
  • id: 36610947
    {'hecke_orbit_code': 13511142513050355, 'n': 977, 'trace_an': 0}
  • id: 36610948
    {'hecke_orbit_code': 13511142513050355, 'n': 983, 'trace_an': 0}
  • id: 36610949
    {'hecke_orbit_code': 13511142513050355, 'n': 991, 'trace_an': 0}
  • id: 36610950
    {'hecke_orbit_code': 13511142513050355, 'n': 997, 'trace_an': 0}