Embedded newform data - 472.2.a.c.1.1

Formats: - HTML - YAML - JSON - 2026-04-17T10:43:31.527471

• 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': 1888, 'analytic_conductor': 3.768938975404434, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [59, -1]], 'atkin_lehner_string': '+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [472, 1, [119, 237, 297], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [1, 1]], [11, [-4, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199288295896, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '472.2.a.c', 'level': 472, '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, 59], 'level_radical': 118, 'minimal_twist': '472.2.a.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{3}-q^{5}+q^{7}-2q^{9}+4q^{11}+2q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/472/c'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '472.2.a', 'trace_display': [0, -1, -1, 1], 'trace_hash': 991204117469229789, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.030', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.019', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.081', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.038', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.238', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.013', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.018', 'prec': 17}, 'traces': [1, 0, -1, 0, -1, 0, 1, 0, -2, 0, 4, 0, 2, 0, 1, 0, 2, 0, 3, 0, -1, 0, 6, 0, -4, 0, 5, 0, 5, 0, 4, 0, -4, 0, -1, 0, -6, 0, -2, 0, 3, 0, 8, 0, 2, 0, -2, 0, -6, 0, -2, 0, 11, 0, -4, 0, -3, 0, 1, 0, 0, 0, -2, 0, -2, 0, -8, 0, -6, 0, -8, 0, -6, 0, 4, 0, 4, 0, -1, 0, 1, 0, 6, 0, -2, 0, -5, 0, -16, 0, 2, 0, -4, 0, -3, 0, -10, 0, -8, 0, 2, 0, -6, 0, 1, 0, 3, 0, 10, 0, 6, 0, 8, 0, -6, 0, -4, 0, 2, 0, 5, 0, -3, 0, 9, 0, 7, 0, -8, 0, -10, 0, 3, 0, -5, 0, -9, 0, -16, 0, 2, 0, 8, 0, -5, 0, 6, 0, 12, 0, -10, 0, -4, 0, -4, 0, -4, 0, -11, 0, 6, 0, 16, 0, 4, 0, 21, 0, -9, 0, -6, 0, 6, 0, -4, 0, -1, 0, -16, 0, -11, 0, 0, 0, 6, 0, 8, 0, 5, 0, 10, 0, 27, 0, 2, 0, -2, 0, 17, 0, 8, 0, 5, 0, -3, 0, -12, 0, 12, 0, 4, 0, 8, 0, -8, 0, 4, 0, 6, 0, 4, 0, 0, 0, 8, 0, -8, 0, -4, 0, -4, 0, 6, 0, 2, 0, 1, 0, 21, 0, -15, 0, -16, 0, 6, 0, 6, 0, -6, 0, -15, 0, 24, 0, 2, 0, -11, 0, -6, 0, -10, 0, -15, 0, -11, 0, 16, 0, 8, 0, -21, 0, -2, 0, -16, 0, 27, 0, -8, 0, 15, 0, 4, 0, 3, 0, 3, 0, -13, 0, 10, 0, 29, 0, -1, 0, 20, 0, 12, 0, 8, 0, -2, 0, 0, 0, -7, 0, 6, 0, 5, 0, -28, 0, 2, 0, -14, 0, 20, 0, -3, 0, 6, 0, -8, 0, -10, 0, -2, 0, 7, 0, 12, 0, 8, 0, -2, 0, -8, 0, 16, 0, -13, 0, 6, 0, 18, 0, -20, 0, 10, 0, 6, 0, 8, 0, -2, 0, 3, 0, -10, 0, -5, 0, 6, 0, 10, 0, -6, 0, 11, 0, -14, 0, -9, 0, 10, 0, -11, 0, -7, 0, -8, 0, -4, 0, -16, 0, -38, 0, 12, 0, 10, 0, 1, 0, -8, 0, -3, 0, -18, 0, 8, 0, -1, 0, -24, 0, -22, 0, 9, 0, 1, 0, -6, 0, 16, 0, -30, 0, -28, 0, 4, 0, -8, 0, 0, 0, -8, 0, 36, 0, -29, 0, 5, 0, 18, 0, -8, 0, 12, 0, -24, 0, 16, 0, -12, 0, -15, 0, 12, 0, 10, 0, -2, 0, -34, 0, 10, 0, -30, 0, 34, 0, 4, 0, 18, 0, -8, 0, 4, 0, 32, 0, -12, 0, -22, 0, 0, 0, -12, 0, -6, 0, 10, 0, -3, 0, -16, 0, -3, 0, 10, 0, 8, 0, -8, 0, -21, 0, -21, 0, -30, 0, -2, 0, 9, 0, -44, 0, -6, 0, 15, 0, 6, 0, -8, 0, -6, 0, -18, 0, 25, 0, 4, 0, 8, 0, 13, 0, -2, 0, 6, 0, -3, 0, 16, 0, -24, 0, 18, 0, 11, 0, -10, 0, 12, 0, 0, 0, 15, 0, -1, 0, -6, 0, -33, 0, 16, 0, -8, 0, 18, 0, -8, 0, 1, 0, 0, 0, 26, 0, -10, 0, -24, 0, 37, 0, -27, 0, 6, 0, 44, 0, 4, 0, 44, 0, 12, 0, 2, 0, 37, 0, -2, 0, -17, 0, -25, 0, 0, 0, 16, 0, -5, 0, -7, 0, -5, 0, -4, 0, 16, 0, 3, 0, 1, 0, 9, 0, 30, 0, -16, 0, 11, 0, -12, 0, -12, 0, 16, 0, -4, 0, -7, 0, -12, 0, 16, 0, 46, 0, -49, 0, 8, 0, 9, 0, 4, 0, -4, 0, -1, 0, 10, 0, 12, 0, 18, 0, 35, 0, -4, 0, -3, 0, 30, 0, 0, 0, 0, 0, 20, 0, -20, 0, -22, 0, -10, 0, 8, 0, -2, 0, 9, 0, 4, 0, 22, 0, 10, 0, -8, 0, 16, 0, 6, 0, -6, 0, 20, 0, -18, 0, -2, 0, 2, 0, -23, 0, 2, 0, 24, 0, -8, 0, -21, 0, -6, 0, -6, 0, 15, 0, -20, 0, -52, 0, 13, 0, 16, 0, -14, 0, -6, 0, -32, 0, 22, 0, -6, 0, -36, 0, -12, 0, -12, 0, 3, 0, 46, 0, 15, 0, 10, 0, 49, 0, -24, 0, 5, 0, 10, 0, 4, 0, 2, 0, 28, 0, 11, 0, -20, 0, -16, 0, 6, 0, 9, 0, -32, 0, 25, 0, 4, 0, 40, 0, 15, 0, 8, 0, 0, 0, 11, 0, -22, 0, -4, 0, 32, 0, -24, 0, -6, 0, -8, 0, 0, 0, 38, 0, 21, 0, -16, 0, 24, 0, -4, 0, -56, 0, -20, 0, 16, 0, 36, 0, 53, 0, -27, 0, -12, 0, -21, 0, 20, 0, -44, 0, -4, 0, -15, 0, 9, 0, 5, 0, -4, 0, -36, 0, -11, 0, 6, 0, 18, 0, -38, 0, -3, 0, 6, 0, -6, 0, 13, 0, -4, 0, -16, 0, 20, 0, 9, 0, -43, 0, -29, 0, -6, 0, -19, 0, 1, 0, -42, 0, 7, 0, 4, 0, -6, 0, 16, 0, -12, 0, 20, 0, 22, 0, -8, 0, 11, 0, -33, 0, -4, 0, 45, 0, 24, 0, 0, 0, -10, 0, 50, 0, 7, 0, -16, 0, 24, 0, 12, 0, -44, 0, -18, 0, -5, 0, -8, 0, 30, 0, 28, 0, 30, 0, 18, 0, -5, 0, -33, 0, -12, 0, 14, 0, 18, 0, -10, 0, -20, 0, -9, 0, -15, 0, -6, 0, -27, 0, 20, 0, -6, 0, -55, 0, -16, 0, 8, 0, 38, 0, -64, 0, -20, 0, -18, 0, 2, 0, 2, 0, 48, 0, 10, 0, -7, 0, -17, 0, -11, 0, -30, 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], [-0.5773502691896257, 0.0], [0.0, 0.0], [-0.4472135954999579, 0.0], [0.0, 0.0], [0.37796447300922725, 0.0], [0.0, 0.0], [-0.6666666666666666, 0.0], [0.0, 0.0], [1.2060453783110545, 0.0], [0.0, 0.0], [0.5547001962252291, 0.0], [0.0, 0.0], [0.25819888974716115, 0.0], [0.0, 0.0], [0.48507125007266594, 0.0], [0.0, 0.0], [0.6882472016116853, 0.0], [0.0, 0.0], [-0.2182178902359924, 0.0], [0.0, 0.0], [1.2510864843424485, 0.0], [0.0, 0.0], [-0.8, 0.0], [0.0, 0.0], [0.9622504486493763, 0.0], [0.0, 0.0], [0.9284766908852593, 0.0], [0.0, 0.0], [0.7184212081070996, 0.0], [0.0, 0.0], [-0.6963106238227914, 0.0], [0.0, 0.0], [-0.1690308509457033, 0.0], [0.0, 0.0], [-0.9863939238321437, 0.0], [0.0, 0.0], [-0.32025630761017426, 0.0], [0.0, 0.0], [0.4685212856658182, 0.0], [0.0, 0.0], [1.2199885626608373, 0.0], [0.0, 0.0], [0.29814239699997197, 0.0], [0.0, 0.0], [-0.2917299829957891, 0.0], [0.0, 0.0], [-0.8571428571428571, 0.0], [0.0, 0.0], [-0.28005601680560194, 0.0], [0.0, 0.0], [1.5109662034355793, 0.0], [0.0, 0.0], [-0.5393598899705937, 0.0], [0.0, 0.0], [-0.39735970711951313, 0.0], [0.0, 0.0], [0.13018891098082386, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.25197631533948484, 0.0], [0.0, 0.0], [-0.2480694691784169, 0.0], [0.0, 0.0], [-0.9773555548504418, 0.0], [0.0, 0.0], [-0.7223151185146152, 0.0], [0.0, 0.0], [-0.9494253265550827, 0.0], [0.0, 0.0], [-0.7022468831767834, 0.0], [0.0, 0.0], [0.4618802153517006, 0.0], [0.0, 0.0], [0.4558423058385518, 0.0], [0.0, 0.0], [-0.1125087900926024, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [0.0, 0.0], [0.658585559938142, 0.0], [0.0, 0.0], [-0.21693045781865616, 0.0], [0.0, 0.0], [-0.5360562674188974, 0.0], [0.0, 0.0], [-1.695996608010176, 0.0], [0.0, 0.0], [0.20965696734438366, 0.0], [0.0, 0.0], [-0.4147806778921701, 0.0], [0.0, 0.0], [-0.30779350562554625, 0.0], [0.0, 0.0], [-1.015346165133619, 0.0], [0.0, 0.0], [-0.8040302522073697, 0.0], [0.0, 0.0], [0.19900743804199783, 0.0], [0.0, 0.0], [-0.5911975668985759, 0.0], [0.0, 0.0], [0.09759000729485331, 0.0], [0.0, 0.0], [0.2900209467136991, 0.0], [0.0, 0.0], [0.9578262852211514, 0.0], [0.0, 0.0], [0.5694947974514994, 0.0], [0.0, 0.0], [0.7525766947068778, 0.0], [0.0, 0.0], [-0.5595028849441882, 0.0], [0.0, 0.0], [-0.3698001308168194, 0.0], [0.0, 0.0], [0.18333969940564226, 0.0], [0.0, 0.0], [0.45454545454545453, 0.0], [0.0, 0.0], [-0.2705008904002297, 0.0], [0.0, 0.0], [0.8049844718999243, 0.0], [0.0, 0.0], [0.6211495565912797, 0.0], [0.0, 0.0], [-0.7043607250604991, 0.0], [0.0, 0.0], [-0.8737040566610379, 0.0], [0.0, 0.0], [0.260132990857236, 0.0], [0.0, 0.0], [-0.43033148291193524, 0.0], [0.0, 0.0], [-0.7689218919450849, 0.0], [0.0, 0.0], [-1.3571022874879535, 0.0], [0.0, 0.0], [0.16843038421330378, 0.0], [0.0, 0.0], [0.6689936080056726, 0.0], [0.0, 0.0], [-0.41522739926869984, 0.0], [0.0, 0.0], [0.4948716593053935, 0.0], [0.0, 0.0], [0.9830783046228485, 0.0], [0.0, 0.0], [-0.8137884587711595, 0.0], [0.0, 0.0], [-0.3233808333817773, 0.0], [0.0, 0.0], [-0.32128773156099955, 0.0], [0.0, 0.0], [-0.31923475378704885, 0.0], [0.0, 0.0], [-0.8723567442899586, 0.0], [0.0, 0.0], [0.47286624374346037, 0.0], [0.0, 0.0], [1.2532167199807318, 0.0], [0.0, 0.0], [0.3113995776646092, 0.0], [0.0, 0.0], [1.6250287883216874, 0.0], [0.0, 0.0], [-0.6923076923076923, 0.0], [0.0, 0.0], [-0.45883146774112354, 0.0], [0.0, 0.0], [0.4561715527618233, 0.0], [0.0, 0.0], [-0.30237157840738177, 0.0], [0.0, 0.0], [-0.07516460280028288, 0.0], [0.0, 0.0], [-1.1958961484030974, 0.0], [0.0, 0.0], [-0.8176235608718829, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.44112877325628463, 0.0], [0.0, 0.0], [0.5850179393017045, 0.0], [0.0, 0.0], [0.363696483726654, 0.0], [0.0, 0.0], [0.7235746052924217, 0.0], [0.0, 0.0], [1.9435025270214752, 0.0], [0.0, 0.0], [0.14322297480788657, 0.0], [0.0, 0.0], [-0.1424940999758193, 0.0], [0.0, 0.0], [1.2050980485141711, 0.0], [0.0, 0.0], [0.5642764926868786, 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[0.20424237527093925, 0.0], [0.0, 0.0], [-0.20400612027541376, 0.0], [0.0, 0.0], [0.4415031470273609, 0.0], [0.0, 0.0], [-0.13569070631055166, 0.0], [0.0, 0.0], [-0.5421393180573577, 0.0], [0.0, 0.0], [0.6768974434224126, 0.0], [0.0, 0.0], [0.304255531702266, 0.0], [0.0, 0.0], [-1.4520068289243249, 0.0], [0.0, 0.0], [-0.9781457231645829, 0.0], [0.0, 0.0], [-0.20214513615876273, 0.0], [0.0, 0.0], [-0.6394009087292614, 0.0], [0.0, 0.0], [0.033614632272640714, 0.0], [0.0, 0.0], [-1.4102219835334568, 0.0], [0.0, 0.0], [0.23477246481693817, 0.0], [0.0, 0.0], [0.13400504203456162, 0.0], [0.0, 0.0], [-0.20078234442307638, 0.0], [0.0, 0.0], [0.5348210163719005, 0.0], [0.0, 0.0], [-0.4006683379765067, 0.0], [0.0, 0.0], [0.66703734596507, 0.0], [0.0, 0.0], [0.7329262651180465, 0.0], [0.0, 0.0], [-0.26622333025588873, 0.0], [0.0, 0.0], [0.3656523724229935, 0.0], [0.0, 0.0], [-1.095747015282017, 0.0], [0.0, 0.0], [-0.1326716253613319, 0.0], [0.0, 0.0], [1.4909165143257863, 0.0], [0.0, 0.0], [0.7942840707857942, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.3302290933419132, 0.0], [0.0, 0.0], [1.6493478118851055, 0.0], [0.0, 0.0], [0.23065784221162786, 0.0], [0.0, 0.0], [-0.5266464149413066, 0.0], [0.0, 0.0], [0.789115139065715, 0.0], [0.0, 0.0], [0.3941317112657173, 0.0], [0.0, 0.0], [-1.4435931728345306, 0.0], [0.0, 0.0], [-0.5899261728100159, 0.0], [0.0, 0.0], [-0.16369265111791279, 0.0], [0.0, 0.0], [-0.26162797606709143, 0.0], [0.0, 0.0], [0.9800572805772018, 0.0], [0.0, 0.0], [0.9137454664307726, 0.0], [0.0, 0.0], [0.9779720499582126, 0.0], [0.0, 0.0], [0.5861606481232525, 0.0], [0.0, 0.0], [-0.16265001215808886, 0.0], [0.0, 0.0], [-1.0723559118546164, 0.0], [0.0, 0.0], [-0.3895364838967173, 0.0], [0.0, 0.0], [0.45398110458786506, 0.0], [0.0, 0.0], [0.5830771935525633, 0.0], [0.0, 0.0], [-0.3235924008452868, 0.0], [0.0, 0.0], [-0.6465081838352359, 0.0], [0.0, 0.0], [-0.290625157674282, 0.0], [0.0, 0.0], [-0.4838709677419355, 0.0], [0.0, 0.0], [-0.1933472978091327, 0.0], [0.0, 0.0], [-0.8691607529725282, 0.0], [0.0, 0.0], [0.6431566413843315, 0.0], [0.0, 0.0], [-0.19274776986097067, 0.0], [0.0, 0.0], [-1.76503399546562, 0.0], [0.0, 0.0], [-0.5129364509100012, 0.0], [0.0, 0.0], [0.25620504608813943, 0.0], [0.0, 0.0], [1.2157277074868695, 0.0], [0.0, 0.0], [-2.045448870721898, 0.0], [0.0, 0.0], [-0.638550856814101, 0.0], [0.0, 0.0], [-0.5741108388985471, 0.0], [0.0, 0.0], [0.06372529878771661, 0.0], [0.0, 0.0], [0.06366070140792303, 0.0], [0.0, 0.0], [1.526311201797344, 0.0], [0.0, 0.0], [0.31766046899489797, 0.0], [0.0, 0.0], [-0.2221382855913819, 0.0], [0.0, 0.0], [-0.5389362312060052, 0.0], [0.0, 0.0], [-0.348373495370745, 0.0], [0.0, 0.0], [-0.949157995752499, 0.0], [0.0, 0.0]], 'angles': [None, -0.29660737466933434, -0.28589157328217657, -0.21974057041908082, -0.1469814168498227, -0.2052719062444833, -0.21101043481131534, -0.1940880380884006, -0.14243869138692497, -0.17316405498147755, -0.19152298767951967, -0.33208590579828445, -0.21236654383917608, -0.1455858625861807, -0.27329825592235474, -0.11370111096791495, None, -0.25, -0.3312603130967327, -0.32872400892627135, -0.3071001256099541, -0.25895789391297547, -0.19659484515154443, -0.4110961577553236, -0.33474710796167445, -0.2341372412847232, -0.2977595736484492, -0.2268392064497139, -0.170515439778221, -0.18860010285692222, -0.19973924248732883, -0.32195333330854925, -0.3128063311374252, -0.36869591052332856, -0.16821723365858976, -0.3166941218997619, -0.275513022537652, -0.14222129330815886, -0.09904909154319869, -0.2133766679112504, -0.3520085561234671, -0.3170283737139763, -0.1910833304528637, -0.03791947670606937, -0.2613489354999302, -0.14707589714649577, -0.22801680981914133, -0.25, -0.29276675157615045, -0.2710962315794207, -0.21851528426902744, -0.13116593029379323, -0.33024779891938993, -0.3284859782585895, -0.30573519671390637, -0.32651831984461294, -0.21078914117640374, -0.36008379499234505, -0.0994246984920759, -0.17617279784565357, -0.23103358162248724, -0.08917351799487643, -0.28200740190340723, -0.22736161636157928, -0.3953046533008256, -0.31430893202142085, -0.21919011368537042, -0.25867401562018627, -0.16974713956025367, -0.33989840692036977, -0.2244778664873133, -0.23738698643629705, -0.20797422006570143, -0.309029181964259, -0.2955845177743433, -0.2827606084164627, -0.45677075761966845, -0.282169635280827, -0.32418796601821837, -0.34152930352548333, -0.3808929779651643, -0.3695140721919945, -0.08301316426827111, -0.37270240967759233, -0.28057186452725913, -0.34655498356475867, -0.3075803197641026, -0.39632402904714786, -0.3731010080851957, -0.10502544821560254, -0.18163348756924197, -0.25, -0.2608263457780072, -0.2607820885609307, -0.3278810798347932, -0.3665995040150878, -0.46443259426309236, -0.3145059635343009, -0.15796341848549797, -0.18676598730542668, -0.2087084889057508, -0.37321400016538486, -0.18808159560515753, -0.25, -0.15844830106414132, -0.11008690290767933, -0.0687902837136498, -0.11267192972936717, -0.3353135473356391, -0.25, -0.27268639696170033, -0.19763463793013755, -0.24679611523954834, -0.22105429243501107, -0.1984146592518651, -0.06863502466710235, -0.4584934270401486, -0.2216943972169389, -0.25311430584403277, -0.19299049970501037, -0.130844143503956, -0.1870193739695781, -0.3194700984736413, -0.25609138169542905, -0.21954172400054, -0.18835842949459394, -0.32107684351884086, -0.2678437926145694, -0.4573369755969099, -0.29162248610782854, -0.18369814941649887, -0.36479729319454257, -0.09148786209532155, -0.07518869439123488, -0.23555677828161034, -0.1657733643504771, -0.30855621679601997, -0.12368544576680393, -0.31370027899330494, -0.25, -0.1337505403579189, -0.46595394811388113, -0.3066676922659011, -0.1423615486485798, -0.06393848727333434, -0.3872841204499573, -0.28015152300723334, -0.20026481136058347, -0.3622539358374224, -0.23371852491995362, -0.37931217835951664, -0.26611371403196815, -0.30179114057509815, -0.3745514211218264, -0.34228124630977735, -0.11611534761548042, -0.09567932135604576, -0.3783416939802264, -0.16849315545762047, -0.16868345081928351, -0.34006620221639056, -0.20291641100185476, -0.1978933280158267, -0.42207637239500057, -0.14601331822719052, -0.29633819482194634, -0.22461387394944796, -0.2778648203683965], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 3, 'hecke_orbit_code': 9007199288295896, 'label': '472.2.a.c.1.1', 'level': 472, 'weight': 2}
• mf_newspaces •

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

  
  {'ALdims': [5, 2, 7, 1], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [1, 2, 2, 2], 'ALdims_old': [8, 13, 9, 12], 'Nk2': 1888, 'analytic_conductor': 3.768938975404434, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [472, 1, [119, 237, 297], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 57, 'dim': 15, 'eis_dim': 7, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 11], 'hecke_orbit_code': 33554904, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 4, 6], 'label': '472.2.a', 'level': 472, '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, 59], 'level_radical': 118, 'mf_dim': 64, 'mf_new_dim': 15, 'num_forms': 7, 'plus_dim': 6, 'prim_orbit_index': 1, 'relative_dim': 15, 'sturm_bound': 120, 'trace_bound': 11, 'trace_display': [0, -2, 0, -4], 'traces': [15, 0, -2, 0, 0, 0, -4, 0, 21, 0, 0, 0, -2, 0, 0, 0, 2, 0, -10, 0, 0, 0, -8, 0, 27, 0, 4, 0, -4, 0, -12, 0, 20, 0, -12, 0, -10, 0, -28, 0, 14, 0, -16, 0, 12, 0, 12, 0, 27, 0, -24, 0, 20, 0, -28, 0, 36, 0, -9, 0, 6, 0, -18, 0, 16, 0, -12, 0, -20, 0, 4, 0, 6, 0, 16, 0, -20, 0, -20, 0, 31, 0, 8, 0, -16, 0, 20, 0, -2, 0, -28, 0, -32, 0, 26, 0, -2, 0, -4, 0, -30, 0, 24, 0, -20, 0, -6, 0, -22, 0, -4, 0, -42, 0, -8, 0, -54, 0, 34, 0, 61, 0, -26, 0, -36, 0, -18, 0, -16, 0, 28, 0, -40, 0, 48, 0, 14, 0, -46, 0, 0, 0, -2, 0, 20, 0, 78, 0, -18, 0, -52, 0, -6, 0, 40, 0, 2, 0, 18, 0, 36, 0, -14, 0, -124, 0, 42, 0, 43, 0, -30, 0, -10, 0, -88, 0, 2, 0, 4, 0, -8, 0, 40, 0, 4, 0, -12, 0, -84, 0, 72, 0, 6, 0, 104, 0, -16, 0, 18, 0, 32, 0, 26, 0, -52, 0, -40, 0, 4, 0, 16, 0, -68, 0, 100, 0, 60, 0, 0, 0, -68, 0, 4, 0, 61, 0, 84, 0, -46, 0, 144, 0, 14, 0, 48, 0, -98, 0, -38, 0, 86, 0, 110, 0, -34, 0, -28, 0, 12, 0, -30, 0, 20, 0, 26, 0, -6, 0, 28, 0, -2, 0, 40, 0, -28, 0, -64, 0, 62, 0, -44, 0, -100, 0, 60, 0, 52, 0, 32, 0, 98, 0, 28, 0, -58, 0, 10, 0, 85, 0, 0, 0, 24, 0, 0, 0, 40, 0, 28, 0, 20, 0, -72, 0, -48, 0, -6, 0, -36, 0, 80, 0, -66, 0, -122, 0, 26, 0, -44, 0, 12, 0, 48, 0, 6, 0, 12, 0, -44, 0, -70, 0, -78, 0, -100, 0, 34, 0, 56, 0, 56, 0, -86, 0, -72, 0, 16, 0, -86, 0, -68, 0, -78, 0, 112, 0, 146, 0, -76, 0, 29, 0, 2, 0, -24, 0, -84, 0, -86, 0, -28, 0, -16, 0, 20, 0, 16, 0, -66, 0, 60, 0, 86, 0, 84, 0, -164, 0, 16, 0, 84, 0, -12, 0, -128, 0, 14, 0, -168, 0, -22, 0, 88, 0, 82, 0, -90, 0, 82, 0, -40, 0, 10, 0, -84, 0, -72, 0, 4, 0, 34, 0, 156, 0, -26, 0, -72, 0, -4, 0, -40, 0, 46, 0, 24, 0, 40, 0, 8, 0, 57, 0, 0, 0, 48, 0, -76, 0, 14, 0, 12, 0, 60, 0, 136, 0, 22, 0, -146, 0, 106, 0, -64, 0, -128, 0, 88, 0, 12, 0, 8, 0, -106, 0, -206, 0, 144, 0, 30, 0, 110, 0, 260, 0, 88, 0, 80, 0, -48, 0, -22, 0, 24, 0, -196, 0, 2, 0, -102, 0, -84, 0, 28, 0, 176, 0, -154, 0, -134, 0, -176, 0, 132, 0, 4, 0, 176, 0, 120, 0, -108, 0, -110, 0, 130, 0, -144, 0, 135, 0, -27, 0, 128, 0, 2, 0, 8, 0, -72, 0, 10, 0, 174, 0, -180, 0, 32, 0, -66, 0, 64, 0, -22, 0, -112, 0, -8, 0, -46, 0, -44, 0, -52, 0, 8, 0, -22, 0, -42, 0, -60, 0, 4, 0, 28, 0, 114, 0, -28, 0, -76, 0, 80, 0, -172, 0, 16, 0, -16, 0, 36, 0, 52, 0, 18, 0, 38, 0, 68, 0, -66, 0, 72, 0, -16, 0, 16, 0, -132, 0, -112, 0, -46, 0, 36, 0, 10, 0, 54, 0, 116, 0, -172, 0, 71, 0, 60, 0, 32, 0, -114, 0, -208, 0, -110, 0, -26, 0, 72, 0, 48, 0, -54, 0, 152, 0, -70, 0, 10, 0, -168, 0, -52, 0, -84, 0, 26, 0, 124, 0, -24, 0, 332, 0, -148, 0, 80, 0, 28, 0, -28, 0, 22, 0, 194, 0, 86, 0, -68, 0, 200, 0, 100, 0, 36, 0, 20, 0, -28, 0, 0, 0, 44, 0, -88, 0, 110, 0, 12, 0, -6, 0, 176, 0, -160, 0, 188, 0, -140, 0, -140, 0, -16, 0, 64, 0, 156, 0, -44, 0, 52, 0, 72, 0, -80, 0, 2, 0, 81, 0, 64, 0, -76, 0, 22, 0, -192, 0, -112, 0, 248, 0, 134, 0, -84, 0, 108, 0, 196, 0, 104, 0, 28, 0, 60, 0, -80, 0, 232, 0, 36, 0, 60, 0, 118, 0, 0, 0, 134, 0, 168, 0, 34, 0, -44, 0, -176, 0, -120, 0, -140, 0, -4, 0, -136, 0, -28, 0, 0, 0, 60, 0, -96, 0, 140, 0, 58, 0, -76, 0, -82, 0, 8, 0, -64, 0, -152, 0, -178, 0, 40, 0, 160, 0, -184, 0, -60, 0, 164, 0, 14, 0, 84, 0, -200, 0, 138, 0, 128, 0, -56, 0, -176, 0, -60, 0, -144, 0, -128, 0, -101, 0, 110, 0, -40, 0, -18, 0, 32, 0, 60, 0, -4, 0, 274, 0, -6, 0, -168, 0, 142, 0, 172, 0, 132, 0, -226, 0, -52, 0, -184, 0, -286, 0, 96, 0, -20, 0, -228, 0, -14, 0, 78, 0, 12, 0, -128, 0, -28, 0, -292, 0, 32, 0, 272, 0, -184, 0, 108, 0, -84, 0, 160, 0, -84, 0, 34, 0, 6, 0, 60, 0, -158, 0, 216, 0, 272, 0, -20, 0, 36, 0, 80, 0, -2, 0, 228, 0, -130, 0, -224, 0, 232, 0, 116, 0, -102, 0, 204, 0, -78, 0, 72, 0, -474, 0, -302, 0, -116, 0, 132, 0, -88, 0, 260, 0, 128, 0, 120, 0, 7, 0, 326, 0, 182, 0, -108, 0, -110, 0, -190, 0, -176, 0, -336, 0, 2, 0, -176, 0, -58, 0, -136, 0, 184, 0, 56, 0, 140, 0, 116, 0, -166, 0, -80, 0, 56, 0, -128, 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: 40103680
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199288295896, 'source_is_minimal': True, 'source_label': '472.2.a.c.1.1', 'source_level': 472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288295896, 'target_is_minimal': True, 'target_label': '472.2.a.c.1.1', 'target_level': 472, 'twist_class_label': '472.2.a.c.1.1', 'twist_class_level': 472, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 40103681
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199288295896, 'source_is_minimal': True, 'source_label': '472.2.a.c.1.1', 'source_level': 472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915670168, 'target_is_minimal': False, 'target_label': '4248.2.a.d.1.1', 'target_level': 4248, 'twist_class_label': '472.2.a.c.1.1', 'twist_class_level': 472, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 40103682
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199288295896, 'source_is_minimal': True, 'source_label': '472.2.a.c.1.1', 'source_level': 472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597797778352, 'target_is_minimal': False, 'target_label': '944.2.a.g.1.1', 'target_level': 944, 'twist_class_label': '472.2.a.c.1.1', 'twist_class_level': 472, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 40103683
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199288295896, 'source_is_minimal': True, 'source_label': '472.2.a.c.1.1', 'source_level': 472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679892672, 'target_is_minimal': False, 'target_label': '3776.2.a.j.1.1', 'target_level': 3776, 'twist_class_label': '472.2.a.c.1.1', 'twist_class_level': 472, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 40103684
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199288295896, 'source_is_minimal': True, 'source_label': '472.2.a.c.1.1', 'source_level': 472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 72057594071486144, 'target_is_minimal': False, 'target_label': '3776.2.a.q.1.1', 'target_level': 3776, 'twist_class_label': '472.2.a.c.1.1', 'twist_class_level': 472, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 40103685
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199288295896, 'source_is_minimal': True, 'source_label': '472.2.a.c.1.1', 'source_level': 472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444120368, 'target_is_minimal': False, 'target_label': '8496.2.a.p.1.1', 'target_level': 8496, 'twist_class_label': '472.2.a.c.1.1', 'twist_class_level': 472, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 935950
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 2}
  • id: 935951
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 3}
  • id: 935952
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 5}
  • id: 935953
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 7}
  • id: 935954
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 11}
  • id: 935955
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 13}
  • id: 935956
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 17}
  • id: 935957
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 19}
  • id: 935958
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 23}
  • id: 935959
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 29}
  • id: 935960
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 31}
  • id: 935961
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 37}
  • id: 935962
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 41}
  • id: 935963
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 43}
  • id: 935964
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 47}
  • id: 935965
    {'charpoly_factorization': [[[-11, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 53}
  • id: 935966
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 59}
  • id: 935967
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 61}
  • id: 935968
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 67}
  • id: 935969
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 71}
  • id: 935970
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 73}
  • id: 935971
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 79}
  • id: 935972
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 83}
  • id: 935973
    {'charpoly_factorization': [[[16, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 89}
  • id: 935974
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 9007199288295896, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 3, 'label': '472.2.a.c', 'level': 472, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 26089969
    {'hecke_orbit_code': 9007199288295896, 'n': 1, 'trace_an': 1}
  • id: 26089970
    {'hecke_orbit_code': 9007199288295896, 'n': 2, 'trace_an': 0}
  • id: 26089971
    {'hecke_orbit_code': 9007199288295896, 'n': 3, 'trace_an': -1}
  • id: 26089972
    {'hecke_orbit_code': 9007199288295896, 'n': 4, 'trace_an': 0}
  • id: 26089973
    {'hecke_orbit_code': 9007199288295896, 'n': 5, 'trace_an': -1}
  • id: 26089974
    {'hecke_orbit_code': 9007199288295896, 'n': 6, 'trace_an': 0}
  • id: 26089975
    {'hecke_orbit_code': 9007199288295896, 'n': 7, 'trace_an': 1}
  • id: 26089976
    {'hecke_orbit_code': 9007199288295896, 'n': 8, 'trace_an': 0}
  • id: 26089977
    {'hecke_orbit_code': 9007199288295896, 'n': 9, 'trace_an': -2}
  • id: 26089978
    {'hecke_orbit_code': 9007199288295896, 'n': 10, 'trace_an': 0}
  • id: 26089979
    {'hecke_orbit_code': 9007199288295896, 'n': 11, 'trace_an': 4}
  • id: 26089980
    {'hecke_orbit_code': 9007199288295896, 'n': 12, 'trace_an': 0}
  • id: 26089981
    {'hecke_orbit_code': 9007199288295896, 'n': 13, 'trace_an': 2}
  • id: 26089982
    {'hecke_orbit_code': 9007199288295896, 'n': 14, 'trace_an': 0}
  • id: 26089983
    {'hecke_orbit_code': 9007199288295896, 'n': 15, 'trace_an': 1}
  • id: 26089984
    {'hecke_orbit_code': 9007199288295896, 'n': 16, 'trace_an': 0}
  • id: 26089985
    {'hecke_orbit_code': 9007199288295896, 'n': 17, 'trace_an': 2}
  • id: 26089986
    {'hecke_orbit_code': 9007199288295896, 'n': 18, 'trace_an': 0}
  • id: 26089987
    {'hecke_orbit_code': 9007199288295896, 'n': 19, 'trace_an': 3}
  • id: 26089988
    {'hecke_orbit_code': 9007199288295896, 'n': 20, 'trace_an': 0}
  • id: 26089989
    {'hecke_orbit_code': 9007199288295896, 'n': 21, 'trace_an': -1}
  • id: 26089990
    {'hecke_orbit_code': 9007199288295896, 'n': 22, 'trace_an': 0}
  • id: 26089991
    {'hecke_orbit_code': 9007199288295896, 'n': 23, 'trace_an': 6}
  • id: 26089992
    {'hecke_orbit_code': 9007199288295896, 'n': 24, 'trace_an': 0}
  • id: 26089993
    {'hecke_orbit_code': 9007199288295896, 'n': 25, 'trace_an': -4}
  • id: 26089994
    {'hecke_orbit_code': 9007199288295896, 'n': 26, 'trace_an': 0}
  • id: 26089995
    {'hecke_orbit_code': 9007199288295896, 'n': 27, 'trace_an': 5}
  • id: 26089996
    {'hecke_orbit_code': 9007199288295896, 'n': 28, 'trace_an': 0}
  • id: 26089997
    {'hecke_orbit_code': 9007199288295896, 'n': 29, 'trace_an': 5}
  • id: 26089998
    {'hecke_orbit_code': 9007199288295896, 'n': 30, 'trace_an': 0}
  • id: 26089999
    {'hecke_orbit_code': 9007199288295896, 'n': 31, 'trace_an': 4}
  • id: 26090000
    {'hecke_orbit_code': 9007199288295896, 'n': 32, 'trace_an': 0}
  • id: 26090001
    {'hecke_orbit_code': 9007199288295896, 'n': 33, 'trace_an': -4}
  • id: 26090002
    {'hecke_orbit_code': 9007199288295896, 'n': 34, 'trace_an': 0}
  • id: 26090003
    {'hecke_orbit_code': 9007199288295896, 'n': 35, 'trace_an': -1}
  • id: 26090004
    {'hecke_orbit_code': 9007199288295896, 'n': 36, 'trace_an': 0}
  • id: 26090005
    {'hecke_orbit_code': 9007199288295896, 'n': 37, 'trace_an': -6}
  • id: 26090006
    {'hecke_orbit_code': 9007199288295896, 'n': 38, 'trace_an': 0}
  • id: 26090007
    {'hecke_orbit_code': 9007199288295896, 'n': 39, 'trace_an': -2}
  • id: 26090008
    {'hecke_orbit_code': 9007199288295896, 'n': 40, 'trace_an': 0}
  • id: 26090009
    {'hecke_orbit_code': 9007199288295896, 'n': 41, 'trace_an': 3}
  • id: 26090010
    {'hecke_orbit_code': 9007199288295896, 'n': 42, 'trace_an': 0}
  • id: 26090011
    {'hecke_orbit_code': 9007199288295896, 'n': 43, 'trace_an': 8}
  • id: 26090012
    {'hecke_orbit_code': 9007199288295896, 'n': 44, 'trace_an': 0}
  • id: 26090013
    {'hecke_orbit_code': 9007199288295896, 'n': 45, 'trace_an': 2}
  • id: 26090014
    {'hecke_orbit_code': 9007199288295896, 'n': 46, 'trace_an': 0}
  • id: 26090015
    {'hecke_orbit_code': 9007199288295896, 'n': 47, 'trace_an': -2}
  • id: 26090016
    {'hecke_orbit_code': 9007199288295896, 'n': 48, 'trace_an': 0}
  • id: 26090017
    {'hecke_orbit_code': 9007199288295896, 'n': 49, 'trace_an': -6}
  • id: 26090018
    {'hecke_orbit_code': 9007199288295896, 'n': 50, 'trace_an': 0}
  • id: 26090019
    {'hecke_orbit_code': 9007199288295896, 'n': 51, 'trace_an': -2}
  • id: 26090020
    {'hecke_orbit_code': 9007199288295896, 'n': 52, 'trace_an': 0}
  • id: 26090021
    {'hecke_orbit_code': 9007199288295896, 'n': 53, 'trace_an': 11}
  • id: 26090022
    {'hecke_orbit_code': 9007199288295896, 'n': 54, 'trace_an': 0}
  • id: 26090023
    {'hecke_orbit_code': 9007199288295896, 'n': 55, 'trace_an': -4}
  • id: 26090024
    {'hecke_orbit_code': 9007199288295896, 'n': 56, 'trace_an': 0}
  • id: 26090025
    {'hecke_orbit_code': 9007199288295896, 'n': 57, 'trace_an': -3}
  • id: 26090026
    {'hecke_orbit_code': 9007199288295896, 'n': 58, 'trace_an': 0}
  • id: 26090027
    {'hecke_orbit_code': 9007199288295896, 'n': 59, 'trace_an': 1}
  • id: 26090028
    {'hecke_orbit_code': 9007199288295896, 'n': 60, 'trace_an': 0}
  • id: 26090029
    {'hecke_orbit_code': 9007199288295896, 'n': 61, 'trace_an': 0}
  • id: 26090030
    {'hecke_orbit_code': 9007199288295896, 'n': 62, 'trace_an': 0}
  • id: 26090031
    {'hecke_orbit_code': 9007199288295896, 'n': 63, 'trace_an': -2}
  • id: 26090032
    {'hecke_orbit_code': 9007199288295896, 'n': 64, 'trace_an': 0}
  • id: 26090033
    {'hecke_orbit_code': 9007199288295896, 'n': 65, 'trace_an': -2}
  • id: 26090034
    {'hecke_orbit_code': 9007199288295896, 'n': 66, 'trace_an': 0}
  • id: 26090035
    {'hecke_orbit_code': 9007199288295896, 'n': 67, 'trace_an': -8}
  • id: 26090036
    {'hecke_orbit_code': 9007199288295896, 'n': 68, 'trace_an': 0}
  • id: 26090037
    {'hecke_orbit_code': 9007199288295896, 'n': 69, 'trace_an': -6}
  • id: 26090038
    {'hecke_orbit_code': 9007199288295896, 'n': 70, 'trace_an': 0}
  • id: 26090039
    {'hecke_orbit_code': 9007199288295896, 'n': 71, 'trace_an': -8}
  • id: 26090040
    {'hecke_orbit_code': 9007199288295896, 'n': 72, 'trace_an': 0}
  • id: 26090041
    {'hecke_orbit_code': 9007199288295896, 'n': 73, 'trace_an': -6}
  • id: 26090042
    {'hecke_orbit_code': 9007199288295896, 'n': 74, 'trace_an': 0}
  • id: 26090043
    {'hecke_orbit_code': 9007199288295896, 'n': 75, 'trace_an': 4}
  • id: 26090044
    {'hecke_orbit_code': 9007199288295896, 'n': 76, 'trace_an': 0}
  • id: 26090045
    {'hecke_orbit_code': 9007199288295896, 'n': 77, 'trace_an': 4}
  • id: 26090046
    {'hecke_orbit_code': 9007199288295896, 'n': 78, 'trace_an': 0}
  • id: 26090047
    {'hecke_orbit_code': 9007199288295896, 'n': 79, 'trace_an': -1}
  • id: 26090048
    {'hecke_orbit_code': 9007199288295896, 'n': 80, 'trace_an': 0}
  • id: 26090049
    {'hecke_orbit_code': 9007199288295896, 'n': 81, 'trace_an': 1}
  • id: 26090050
    {'hecke_orbit_code': 9007199288295896, 'n': 82, 'trace_an': 0}
  • id: 26090051
    {'hecke_orbit_code': 9007199288295896, 'n': 83, 'trace_an': 6}
  • id: 26090052
    {'hecke_orbit_code': 9007199288295896, 'n': 84, 'trace_an': 0}
  • id: 26090053
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  • id: 26090054
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  • id: 26090055
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  • id: 26090056
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  • id: 26090057
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  • id: 26090058
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  • id: 26090059
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  • id: 26090060
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  • id: 26090061
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  • id: 26090062
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  • id: 26090063
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  • id: 26090064
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  • id: 26090065
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  • id: 26090066
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  • id: 26090067
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  • id: 26090068
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  • id: 26090069
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  • id: 26090070
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  • id: 26090071
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  • id: 26090072
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  • id: 26090073
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  • id: 26090074
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  • id: 26090075
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  • id: 26090076
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  • id: 26090077
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  • id: 26090078
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  • id: 26090079
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  • id: 26090080
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  • id: 26090081
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  • id: 26090082
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  • id: 26090083
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  • id: 26090084
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  • id: 26090085
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  • id: 26090086
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  • id: 26090087
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  • id: 26090088
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  • id: 26090089
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  • id: 26090090
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  • id: 26090091
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  • id: 26090092
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  • id: 26090093
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  • id: 26090094
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  • id: 26090095
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  • id: 26090096
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  • id: 26090097
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  • id: 26090098
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  • id: 26090099
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  • id: 26090100
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  • id: 26090101
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  • id: 26090102
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  • id: 26090103
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  • id: 26090104
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  • id: 26090105
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  • id: 26090106
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  • id: 26090107
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  • id: 26090108
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  • id: 26090109
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  • id: 26090110
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  • id: 26090111
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  • id: 26090112
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  • id: 26090113
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  • id: 26090114
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  • id: 26090115
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  • id: 26090116
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  • id: 26090117
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  • id: 26090118
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  • id: 26090119
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  • id: 26090120
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  • id: 26090121
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  • id: 26090122
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  • id: 26090123
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  • id: 26090124
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  • id: 26090125
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  • id: 26090126
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  • id: 26090127
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  • id: 26090128
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  • id: 26090129
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  • id: 26090130
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  • id: 26090131
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  • id: 26090132
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  • id: 26090133
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  • id: 26090134
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  • id: 26090135
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  • id: 26090136
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  • id: 26090137
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  • id: 26090138
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  • id: 26090139
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  • id: 26090140
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  • id: 26090141
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  • id: 26090142
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  • id: 26090143
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  • id: 26090144
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  • id: 26090145
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  • id: 26090146
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  • id: 26090147
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  • id: 26090148
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  • id: 26090149
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  • id: 26090150
    {'hecke_orbit_code': 9007199288295896, 'n': 512, 'trace_an': 0}
  • id: 26090151
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  • id: 26090152
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  • id: 26090153
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  • id: 26090154
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  • id: 26090155
    {'hecke_orbit_code': 9007199288295896, 'n': 547, 'trace_an': 12}
  • id: 26090156
    {'hecke_orbit_code': 9007199288295896, 'n': 557, 'trace_an': -33}
  • id: 26090157
    {'hecke_orbit_code': 9007199288295896, 'n': 563, 'trace_an': 18}
  • id: 26090158
    {'hecke_orbit_code': 9007199288295896, 'n': 569, 'trace_an': 0}
  • id: 26090159
    {'hecke_orbit_code': 9007199288295896, 'n': 571, 'trace_an': 26}
  • id: 26090160
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  • id: 26090161
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  • id: 26090162
    {'hecke_orbit_code': 9007199288295896, 'n': 593, 'trace_an': 37}
  • id: 26090163
    {'hecke_orbit_code': 9007199288295896, 'n': 599, 'trace_an': -25}
  • id: 26090164
    {'hecke_orbit_code': 9007199288295896, 'n': 601, 'trace_an': 0}
  • id: 26090165
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  • id: 26090166
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  • id: 26090167
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  • id: 26090168
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  • id: 26090169
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  • id: 26090170
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  • id: 26090171
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  • id: 26090172
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  • id: 26090173
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  • id: 26090174
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  • id: 26090175
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  • id: 26090176
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  • id: 26090177
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  • id: 26090178
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  • id: 26090179
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  • id: 26090180
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  • id: 26090181
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  • id: 26090182
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  • id: 26090183
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  • id: 26090184
    {'hecke_orbit_code': 9007199288295896, 'n': 727, 'trace_an': -52}
  • id: 26090185
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  • id: 26090186
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  • id: 26090187
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  • id: 26090188
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  • id: 26090189
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  • id: 26090190
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  • id: 26090191
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  • id: 26090192
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  • id: 26090193
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  • id: 26090194
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  • id: 26090195
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  • id: 26090196
    {'hecke_orbit_code': 9007199288295896, 'n': 809, 'trace_an': 0}
  • id: 26090197
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  • id: 26090198
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  • id: 26090199
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  • id: 26090200
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  • id: 26090201
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  • id: 26090202
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  • id: 26090203
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  • id: 26090204
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  • id: 26090205
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  • id: 26090206
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  • id: 26090207
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  • id: 26090208
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  • id: 26090209
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  • id: 26090210
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  • id: 26090211
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  • id: 26090212
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  • id: 26090213
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  • id: 26090214
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  • id: 26090215
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  • id: 26090216
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  • id: 26090217
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  • id: 26090218
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  • id: 26090219
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  • id: 26090220
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  • id: 26090221
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  • id: 26090222
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  • id: 26090223
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  • id: 26090224
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  • id: 26090225
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  • id: 26090226
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