Embedded newform data - 225.3.g.f.118.2

Formats: - HTML - YAML - JSON - 2025-04-19T02:45:14.389886

• 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': 2025, 'analytic_conductor': 6.13080594810668, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 4, 'char_parity': -1, 'char_values': [225, 4, [101, 127], [4, 1]], 'cm_discs': [], 'conrey_index': 82, 'dim': 4, 'field_disc': 2304, 'field_disc_factorization': [[2, 8], [3, 2]], 'field_poly': [9, 0, 0, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [9, 0, 0, 0, 1]], [7, [11664, 0, 0, 0, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22518410504044769, 'hecke_ring_generator_nbound': 4, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0], [1, 2, 5, 3, -1, 4, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '225.3.g.f', 'level': 225, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '75.3.f.a', 'nf_label': '4.0.2304.2', 'prim_orbit_index': 3, 'qexp_display': 'q+\\beta _{1}q^{2}-\\beta _{2}q^{4}-6\\beta _{1}q^{7}-5\\beta _{3}q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '2.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '225.3.g', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1279925712060658506, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.032', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.793', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.312', 'prec': 17}, {'__RealLiteral__': 0, 'data': '121.596', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4972.152', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.754', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 812, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1152, 0, 0, 0, 0, 528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 792, 0, 0, 0, 0, -392, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1008, 0, 0, 0, 0, 236, 0, 0, 0, 0, 0, 0, 0, 0, 0, -648, 0, 0, 0, 0, 488, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, -712, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1368, 0, 0, 0, 0, -716, 0, 0, 0, 0, 0, 0, 0, 0, 0, -720, 0, 0, 0, 0, -1912, 0, 0, 0, 0, 0, 0, 0, 0, 0, -648, 0, 0, 0, 0, 1296, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 1728, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1008, 0, 0, 0, 0, 280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1152, 0, 0, 0, 0, -1672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1584, 0, 0, 0, 0, -1392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, 1044, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 2160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2592, 0, 0, 0, 0, 768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -648, 0, 0, 0, 0, 568, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2448, 0, 0, 0, 0, -680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 792, 0, 0, 0, 0, 1296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3312, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 968, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3456, 0, 0, 0, 0, -2592, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1368, 0, 0, 0, 0, -2592, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2160, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 680, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2448, 0, 0, 0, 0, 1208, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3168, 0, 0, 0, 0, 3648, 0, 0, 0, 0, 0, 0, 0, 0, 0, -720, 0, 0, 0, 0, -3032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2592, 0, 0, 0, 0, -6480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1152, 0, 0, 0, 0, 968, 0, 0, 0, 0, 0, 0, 0, 0, 0, -648, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 792, 0, 0, 0, 0, 2488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 244, 0, 0, 0, 0, 0, 0, 0, 0, 0, 720, 0, 0, 0, 0, 2728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1872, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 3888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1152, 0, 0, 0, 0, 1728, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2088, 0, 0, 0, 0, -1352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5112, 0, 0, 0, 0, 1488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5040, 0, 0, 0, 0, -5184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2592, 0, 0, 0, 0, -1160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1584, 0, 0, 0, 0, -872, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1728, 0, 0, 0, 0, 6480, 0, 0, 0, 0, 0, 0, 0, 0, 0, -720, 0, 0, 0, 0, 3364, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1152, 0, 0, 0, 0, 2160, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1008, 0, 0, 0, 0, -2592, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4248, 0, 0, 0, 0, -5712, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2520, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3168, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 2360, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4608, 0, 0, 0, 0, -5184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 720, 0, 0, 0, 0, -1908, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5112, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -472, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 3, '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], [0.6123724356957945, -0.6123724356957945], [0.0, 0.0], [0.0, 0.25], [0.0, 0.0], [0.0, 0.0], [-1.0497813183356477, 1.0497813183356477], [0.7654655446197431, 0.7654655446197431], [0.0, 0.0], [0.0, 0.0], [1.6363636363636365, 0.0], [0.0, 0.0], [0.565266863719195, 0.565266863719195], [0.0, 1.2857142857142858], [0.0, 0.0], [0.6875, 0.0], [-0.2881752638568445, 0.2881752638568445], [0.0, 0.0], [0.0, 0.5263157894736842], [0.0, 0.0], [0.0, 0.0], [1.0020639856840274, -1.0020639856840274], [-0.8519964322724097, -0.8519964322724097], [0.0, 0.0], [0.0, 0.0], [0.6923076923076923, 0.0], [0.0, 0.0], [-0.2624453295839119, -0.2624453295839119], [0.0, 0.0], [0.0, 0.0], [0.7096774193548387, 0.0], [-0.3444594950788844, 0.3444594950788844], [0.0, 0.0], [0.0, 0.35294117647058826], [0.0, 0.0], [0.0, 0.0], [-0.1986072764418793, 0.1986072764418793], [0.322301281945155, 0.322301281945155], [0.0, 0.0], [0.0, 0.0], [0.43902439024390244, 0.0], [0.0, 0.0], [-0.6835785328697241, -0.6835785328697241], [0.0, 0.4090909090909091], [0.0, 0.0], [-1.0434782608695652, 0.0], [0.9381024546829193, -0.9381024546829193], [0.0, 0.0], [0.0, -1.2040816326530612], [0.0, 0.0], [0.0, 0.0], [-0.14131671592979875, 0.14131671592979875], [0.09243357519936521, 0.09243357519936521], [0.0, 0.0], [0.0, 0.0], [-1.6071428571428572, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.5254237288135593], [0.0, 0.0], [0.03278688524590164, 0.0], [0.43458688984862837, -0.43458688984862837], [0.0, 0.0], [0.0, 1.109375], [0.0, 0.0], [0.0, 0.0], [-0.6580718711954807, 0.6580718711954807], [-0.07204381596421112, -0.07204381596421112], [0.0, 0.0], [0.0, 0.0], [-1.0140845070422535, 0.0], [0.0, 0.0], [0.6039837721931124, 0.6039837721931124], [0.0, 0.24324324324324326], [0.0, 0.0], [-0.13157894736842105, 0.0], [-1.7178239754583327, 1.7178239754583327], [0.0, 0.0], [0.0, -0.8860759493670886], [0.0, 0.0], [0.0, 0.0], [0.2688464351835195, -0.2688464351835195], [0.6492623414606015, 0.6492623414606015], [0.0, 0.0], [0.0, 0.0], [-0.8372093023255814, 0.0], [0.0, 0.0], [1.2525799821050343, 1.2525799821050343], [0.0, -1.0112359550561798], [0.0, 0.0], [-1.1868131868131868, 0.0], [0.21299910806810243, -0.21299910806810243], [0.0, 0.0], [0.0, -1.148936170212766], [0.0, 0.0], [0.0, 0.0], [1.060603806153541, -1.060603806153541], [-0.737346402164324, -0.737346402164324], [0.0, 0.0], [0.0, 0.0], [1.0693069306930694, 0.0], [0.0, 0.0], [-0.6420992529625806, -0.6420992529625806], [0.0, 0.8653846153846154], [0.0, 0.0], [0.11320754716981132, 0.0], [0.41206369504763746, -0.41206369504763746], [0.0, 0.0], [0.0, 1.5596330275229358], [0.0, 0.0], [0.0, 0.0], [-0.7217246563557579, 0.7217246563557579], [-0.39018420681501953, -0.39018420681501953], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9341274442817205, -0.9341274442817205], [0.0, -0.6050420168067226], [0.0, 0.0], [1.677685950413223, 0.0], [0.020077784776911297, -0.020077784776911297], [0.0, 0.0], [0.0, 0.1774193548387097], [0.0, 0.0], [0.0, 0.0], [-0.05786196242794909, 0.05786196242794909], [0.33489117577113764, 0.33489117577113764], [0.0, 0.0], [0.0, 0.0], [0.13740458015267176, 0.0], [0.0, 0.0], [-0.5525164833345515, -0.5525164833345515], [0.0, 0.8059701492537313], [0.0, 0.0], [-0.4411764705882353, 0.0], [1.0370102560687908, -1.0370102560687908], [0.0, 0.0], [0.0, -1.223021582733813], [0.0, 0.0], [0.0, 0.0], [-0.6209973995788339, 0.6209973995788339], [0.9249821406314099, 0.9249821406314099], [0.0, 0.0], [0.0, 0.0], [0.7397260273972602, 0.0], [0.0, 0.0], [-0.04965181911046983, -0.04965181911046983], [0.0, 1.2080536912751678], [0.0, 0.0], [0.1456953642384106, 0.0], [-0.40287660243144374, 0.40287660243144374], [0.0, 0.0], [0.0, 2.103896103896104], [0.0, 0.0], [0.0, 0.0], [0.8893051932397525, -0.8893051932397525], [-0.5426084873253876, -0.5426084873253876], [0.0, 0.0], [0.0, 0.0], [1.7888198757763976, 0.0], [0.0, 0.0], [0.721322132844126, 0.721322132844126], [0.0, 0.10975609756097561], [0.0, 0.0], [0.7951807228915663, 0.0], [0.11734082600158938, -0.11734082600158938], [0.0, 0.0], [0.0, -0.3609467455621302], [0.0, 0.0], [0.0, 0.0], [0.17089463321743104, -0.17089463321743104], [-0.8212162143434932, -0.8212162143434932], [0.0, 0.0], [0.0, 0.0], [1.125, 0.0], [0.0, 0.0], [-0.6192530248609158, -0.6192530248609158], [0.0, 0.5027932960893855], [0.0, 0.0], [-0.5414364640883977, 0.0], [-0.7267716819246792, 0.7267716819246792], [0.0, 0.0], [0.0, -1.3043478260869565], [0.0, 0.0], [0.0, 0.0], [-0.4715595226748364, 0.4715595226748364], [0.23452561367072983, 0.23452561367072983], [0.0, 0.0], [0.0, 0.0], [-1.3193717277486912, 0.0], [0.0, 0.0], [1.3706989234227112, 1.3706989234227112], [0.0, -1.2989690721649485], [0.0, 0.0], [0.3010204081632653, 0.0], [-0.6465658204300775, 0.6465658204300775], [0.0, 0.0], [0.0, 1.4572864321608041], [0.0, 0.0], [0.0, 0.0], [0.654814089654909, -0.654814089654909], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7864077669902912, 0.0], [0.0, 0.0], [0.3886209688069465, 0.3886209688069465], [0.0, 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[-0.8693743139407245, 0.0], [0.0, 0.0], [1.0624292860264386, 1.0624292860264386], [0.0, 0.5120350109409191], [0.0, 0.0], [0.05458515283842795, 0.0], [-0.14424476129802793, 0.14424476129802793], [0.0, 0.0], [0.0, 0.46789989118607184], [0.0, 0.0], [0.0, 0.0], [1.0998793422041602, -1.0998793422041602], [-0.5732283688420005, -0.5732283688420005], [0.0, 0.0], [0.0, 0.0], [0.019438444924406047, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.6469321851453176], [0.0, 0.0], [0.6337271750805585, 0.0], [0.04730774181340902, -0.04730774181340902], [0.0, 0.0], [0.0, 0.9122055674518201], [0.0, 0.0], [0.0, 0.0], [0.3450721942874915, -0.3450721942874915], [-0.8460924058227609, -0.8460924058227609], [0.0, 0.0], [0.0, 0.0], [-1.22422954303932, 0.0], [0.0, 0.0], [-0.374047214168375, -0.374047214168375], [0.0, -1.048728813559322], [0.0, 0.0], [-1.3699788583509513, 0.0], [-0.7811466761568319, 0.7811466761568319], [0.0, 0.0], [0.0, 0.6828240252897787], [0.0, 0.0], [0.0, 0.0], [0.4631388169127858, 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-0.2861245435550582, -0.3318679688215734, -0.09136991160338205, 0.06266052747892445, -0.10641373203258406, -0.4131950044839754, -0.4035142625440311, 0.06365355352575762, -0.27145566752624833, -0.2923714335795044, -0.17505906903897678, -0.24007787179487244, 0.0067214465709277155, 0.05214589745753003, -0.006819263465678731, -0.4146517076085279, -0.47112353349309233, -0.0954432264212725, -0.34751720608563047, -0.3529590350419682, -0.10999261361304631, -0.308433260177918, -0.42697937588609874, -0.32157052462063174, 0.03758259375631367, -0.34601865730146913, -0.3357696799742866, -0.3548404785915247, -0.468135181253818, -0.13020760290160255, -0.2857251567960189, -0.13568348583565362, -0.4213618481482817, -0.2265344337149056, -0.2594810270004932, -0.47318250776314086], 'char_orbit_index': 7, 'conrey_index': 118, 'dual_conrey_index': 82, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 4, 'embedding_root_imag': -1.224744871391589, 'embedding_root_real': 1.224744871391589, 'hecke_orbit': 6, 'hecke_orbit_code': 22518410504044769, 'label': '225.3.g.f.118.2', 'level': 225, 'weight': 3}
• mf_newspaces •

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

  
  {'Nk2': 2025, 'analytic_conductor': 6.13080594810668, 'char_conductor': 5, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 4, 'char_parity': -1, 'char_values': [225, 4, [101, 127], [4, 1]], 'conrey_index': 82, 'cusp_dim': 96, 'dim': 28, 'eis_dim': 48, 'eis_new_dim': 4, 'hecke_cutter_primes': [2, 7], 'hecke_orbit_code': 412367192289, 'hecke_orbit_dims': [4, 4, 4, 4, 4, 4, 4], 'label': '225.3.g', 'level': 225, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 144, 'mf_new_dim': 32, 'num_forms': 7, 'prim_orbit_index': 3, 'relative_dim': 14, 'sturm_bound': 90, 'trace_bound': 16, 'trace_display': [-4, 0, 0, 16], 'traces': [28, -4, 0, 0, 0, 0, 16, 12, 0, 0, 44, 0, -8, 0, 0, -228, -40, 0, 0, 0, 0, 80, 56, 0, 0, 128, 0, -64, 0, 0, 96, -76, 0, 0, 0, 0, -104, -96, 0, 0, 140, 0, -32, 0, 0, 520, 128, 0, 0, 0, 0, 40, 56, 0, 0, -600, 0, 312, 0, 0, -568, 88, 0, 0, 0, 0, -80, -104, 0, 0, -712, 0, -296, 0, 0, -140, 88, 0, 0, 0, 0, -328, -16, 0, 0, 1064, 0, 288, 0, 0, 520, 104, 0, 0, 0, 0, 40, -188, 0, 0, 104, 0, 448, 0, 0, 1240, 128, 0, 0, 0, 0, 496, 224, 0, 0, 48, 0, -816, 0, 0, -632, -416, 0, 0, 0, 0, -320, 132, 0, 0, -1168, 0, -240, 0, 0, -1884, -304, 0, 0, 0, 0, 128, -56, 0, 0, -340, 0, 536, 0, 0, -72, -144, 0, 0, 0, 0, 664, 120, 0, 0, 2360, 0, -1040, 0, 0, -692, 104, 0, 0, 0, 0, -512, 224, 0, 0, 1676, 0, 456, 0, 0, 816, -152, 0, 0, 0, 0, 176, 112, 0, 0, -16, 0, 856, 0, 0, 2300, -328, 0, 0, 0, 0, 920, -240, 0, 0, -2416, 0, -824, 0, 0, -196, 344, 0, 0, 0, 0, 32, 144, 0, 0, -496, 0, 592, 0, 0, -1412, 464, 0, 0, 0, 0, -1032, -88, 0, 0, 1056, 0, 112, 0, 0, -2020, 492, 0, 0, 0, 0, -1056, -120, 0, 0, -172, 0, -352, 0, 0, 1540, -112, 0, 0, 0, 0, -1264, -1240, 0, 0, -3960, 0, -16, 0, 0, 1880, 488, 0, 0, 0, 0, 1288, 456, 0, 0, -1744, 0, 1552, 0, 0, -1288, 88, 0, 0, 0, 0, 856, -280, 0, 0, 0, 0, -792, 0, 0, 1480, 712, 0, 0, 0, 0, -848, 248, 0, 0, 2744, 0, -680, 0, 0, 5696, -1072, 0, 0, 0, 0, -448, 192, 0, 0, 5636, 0, -360, 0, 0, 716, -352, 0, 0, 0, 0, -392, -268, 0, 0, 160, 0, 720, 0, 0, -6992, 320, 0, 0, 0, 0, 752, 488, 0, 0, -5556, 0, 0, 0, 0, -2224, -32, 0, 0, 0, 0, 928, -184, 0, 0, -160, 0, 88, 0, 0, -7896, -408, 0, 0, 0, 0, 800, 320, 0, 0, 3092, 0, 344, 0, 0, 3880, -468, 0, 0, 0, 0, 712, 1032, 0, 0, 3812, 0, -592, 0, 0, 2160, -392, 0, 0, 0, 0, 208, 600, 0, 0, -2680, 0, -2064, 0, 0, 2880, -1112, 0, 0, 0, 0, -928, 592, 0, 0, -4600, 0, -200, 0, 0, 992, -480, 0, 0, 0, 0, 560, -352, 0, 0, 368, 0, 896, 0, 0, -2620, -592, 0, 0, 0, 0, 1336, -984, 0, 0, 4088, 0, -272, 0, 0, 5536, 1808, 0, 0, 0, 0, 96, -752, 0, 0, 8560, 0, 3696, 0, 0, 4240, 640, 0, 0, 0, 0, 1600, 816, 0, 0, -2608, 0, -1824, 0, 0, -2536, -272, 0, 0, 0, 0, -3952, -832, 0, 0, -5000, 0, -2416, 0, 0, -8960, 92, 0, 0, 0, 0, -3472, -472, 0, 0, -2860, 0, -32, 0, 0, -2936, -272, 0, 0, 0, 0, -240, 592, 0, 0, 3444, 0, 696, 0, 0, -7816, 520, 0, 0, 0, 0, 256, -1472, 0, 0, 528, 0, -480, 0, 0, 12388, 680, 0, 0, 0, 0, 2504, 944, 0, 0, -7612, 0, 2016, 0, 0, 560, 904, 0, 0, 0, 0, 1720, -1364, 0, 0, -7960, 0, 1808, 0, 0, 4624, 1808, 0, 0, 0, 0, -1304, 1952, 0, 0, -5328, 0, -1072, 0, 0, -2628, 208, 0, 0, 0, 0, -3920, -960, 0, 0, 4616, 0, 3736, 0, 0, 480, 296, 0, 0, 0, 0, 3440, -840, 0, 0, 12176, 0, -328, 0, 0, 3536, 120, 0, 0, 0, 0, -1256, -192, 0, 0, 1640, 0, -2672, 0, 0, 18492, 80, 0, 0, 0, 0, -1616, -160, 0, 0, -5260, 0, 2992, 0, 0, 4728, -2288, 0, 0, 0, 0, -240, -1496, 0, 0, 1192, 0, -3896, 0, 0, -18044, 992, 0, 0, 0, 0, 1024, 2000, 0, 0, 4440, 0, -1760, 0, 0, -2388, -1552, 0, 0, 0, 0, 272, 2688, 0, 0, 392, 0, -960, 0, 0, -10928, -1232, 0, 0, 0, 0, 504, -368, 0, 0, 60, 0, 2784, 0, 0, -2480, 428, 0, 0, 0, 0, 4144, 120, 0, 0, -9208, 0, -872, 0, 0, -18200, -656, 0, 0, 0, 0, 1232, 752, 0, 0, -976, 0, 1840, 0, 0, 7992, -1120, 0, 0, 0, 0, 3064, -840, 0, 0, 6836, 0, -2880, 0, 0, 7024, -1896, 0, 0, 0, 0, -2408, -880, 0, 0, 5784, 0, -5976, 0, 0, 392, 208, 0, 0, 0, 0, -4448, 40, 0, 0, 7520, 0, 4352, 0, 0, -4816, 608, 0, 0, 0, 0, -904, 2032, 0, 0, 2440, 0, -792, 0, 0, 2448, 960, 0, 0, 0, 0, 672, 1776, 0, 0, 296, 0, 2896, 0, 0, 4320, -1360, 0, 0, 0, 0, 4408, -1112, 0, 0, 3804, 0, -1344, 0, 0, 8332, -1064, 0, 0, 0, 0, 2208, 296, 0, 0, -6160, 0, -920, 0, 0, 19404, 248, 0, 0, 0, 0, -928, -2968, 0, 0, -10564, 0, -128, 0, 0, 256, 576, 0, 0, 0, 0, -3944, -1320, 0, 0, -5224, 0, -752, 0, 0, -8468, -712, 0, 0, 0, 0, 2560, 48, 0, 0, -7080, 0, 648, 0, 0, -200, -424, 0, 0, 0, 0, 592, 2224, 0, 0, 4328, 0, 2960, 0, 0, -9632, 808, 0, 0, 0, 0, -2632, 2176, 0, 0, -1096, 0, 1320, 0, 0, -1964, 3512, 0, 0, 0, 0, -3992, 848, 0, 0, 6920, 0, 1328, 0, 0, -13984, 656, 0, 0, 0, 0, -240, -1552, 0, 0, 6024, 0, -1440, 0, 0, -14820, 3568, 0, 0, 0, 0, 3040, -900, 0, 0, 740, 0, 480, 0, 0, 23328, 2600, 0, 0, 0, 0, -3184, -2704, 0, 0, -6504, 0, 3648, 0, 0, -2824, 808, 0, 0, 0, 0, 1624, -3456, 0, 0], 'weight': 3, '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: 45245387
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 118, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518410504044769, 'source_is_minimal': False, 'source_label': '225.3.g.f.118.2', 'source_level': 225, 'target_conrey_index': 118, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518410504044769, 'target_is_minimal': False, 'target_label': '225.3.g.f.118.2', 'target_level': 225, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 45245388
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 118, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518410504044769, 'source_is_minimal': False, 'source_label': '225.3.g.f.118.2', 'source_level': 225, 'target_conrey_index': 43, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 343647715403, 'target_is_minimal': True, 'target_label': '75.3.f.a.43.1', 'target_level': 75, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 45245389
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 118, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518410504044769, 'source_is_minimal': False, 'source_label': '225.3.g.f.118.2', 'source_level': 225, 'target_conrey_index': 82, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518410504044769, 'target_is_minimal': False, 'target_label': '225.3.g.f.82.2', 'target_level': 225, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 45245390
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 118, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518410504044769, 'source_is_minimal': False, 'source_label': '225.3.g.f.118.2', 'source_level': 225, 'target_conrey_index': 82, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518410504044769, 'target_is_minimal': False, 'target_label': '225.3.g.f.82.1', 'target_level': 225, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 45245391
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 118, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518410504044769, 'source_is_minimal': False, 'source_label': '225.3.g.f.118.2', 'source_level': 225, 'target_conrey_index': 118, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518410504044769, 'target_is_minimal': False, 'target_label': '225.3.g.f.118.1', 'target_level': 225, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 3}
  • id: 45245392
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 118, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518410504044769, 'source_is_minimal': False, 'source_label': '225.3.g.f.118.2', 'source_level': 225, 'target_conrey_index': 193, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40534595719922864, 'target_is_minimal': False, 'target_label': '1200.3.bg.j.193.2', 'target_level': 1200, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 3}
  • id: 45245393
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 118, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518410504044769, 'source_is_minimal': False, 'source_label': '225.3.g.f.118.2', 'source_level': 225, 'target_conrey_index': 7, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 343647715403, 'target_is_minimal': True, 'target_label': '75.3.f.a.7.1', 'target_level': 75, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 45245394
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 118, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518410504044769, 'source_is_minimal': False, 'source_label': '225.3.g.f.118.2', 'source_level': 225, 'target_conrey_index': 7, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 343647715403, 'target_is_minimal': True, 'target_label': '75.3.f.a.7.2', 'target_level': 75, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 3}
  • id: 45245395
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 118, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518410504044769, 'source_is_minimal': False, 'source_label': '225.3.g.f.118.2', 'source_level': 225, 'target_conrey_index': 43, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 343647715403, 'target_is_minimal': True, 'target_label': '75.3.f.a.43.2', 'target_level': 75, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 3}
  • id: 45245396
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 118, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518410504044769, 'source_is_minimal': False, 'source_label': '225.3.g.f.118.2', 'source_level': 225, 'target_conrey_index': 1057, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40534595719922864, 'target_is_minimal': False, 'target_label': '1200.3.bg.j.1057.1', 'target_level': 1200, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 3}
  • id: 45245397
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 118, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518410504044769, 'source_is_minimal': False, 'source_label': '225.3.g.f.118.2', 'source_level': 225, 'target_conrey_index': 1057, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40534595719922864, 'target_is_minimal': False, 'target_label': '1200.3.bg.j.1057.2', 'target_level': 1200, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '60.47', 'twisting_conrey_index': 47, 'weight': 3}
  • id: 45245398
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 118, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22518410504044769, 'source_is_minimal': False, 'source_label': '225.3.g.f.118.2', 'source_level': 225, 'target_conrey_index': 193, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40534595719922864, 'target_is_minimal': False, 'target_label': '1200.3.bg.j.193.1', 'target_level': 1200, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 538700
    {'charpoly_factorization': [[[9, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 22518410504044769, 'p': 2}
  • id: 538701
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 22518410504044769, 'p': 3}
  • id: 538702
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 22518410504044769, 'p': 5}
  • id: 538703
    {'charpoly_factorization': [[[11664, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 22518410504044769, 'p': 7}
  • id: 538704
    {'charpoly_factorization': [[[-18, 1], 4]], 'hecke_orbit_code': 22518410504044769, 'p': 11}
  • id: 538705
    {'charpoly_factorization': [[[11664, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 22518410504044769, 'p': 13}
  • id: 538706
    {'charpoly_factorization': [[[2304, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 22518410504044769, 'p': 17}
  • id: 538707
    {'charpoly_factorization': [[[100, 0, 1], 2]], 'hecke_orbit_code': 22518410504044769, 'p': 19}
  • id: 538708
    {'charpoly_factorization': [[[589824, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 22518410504044769, 'p': 23}
  • id: 538709
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 22518410504044769, 'p': 29}
  • id: 538710
    {'charpoly_factorization': [[[-22, 1], 4]], 'hecke_orbit_code': 22518410504044769, 'p': 31}
  • id: 538711
    {'charpoly_factorization': [[[11664, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 22518410504044769, 'p': 37}
  • id: 538712
    {'charpoly_factorization': [[[-18, 1], 4]], 'hecke_orbit_code': 22518410504044769, 'p': 41}
  • id: 538713
    {'charpoly_factorization': [[[2985984, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 22518410504044769, 'p': 43}
  • id: 538714
    {'charpoly_factorization': [[[15116544, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 22518410504044769, 'p': 47}
  • id: 538715
    {'charpoly_factorization': [[[2304, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 22518410504044769, 'p': 53}
  • id: 538716
    {'charpoly_factorization': [[[8100, 0, 1], 2]], 'hecke_orbit_code': 22518410504044769, 'p': 59}
  • id: 538717
    {'charpoly_factorization': [[[-2, 1], 4]], 'hecke_orbit_code': 22518410504044769, 'p': 61}
  • id: 538718
    {'charpoly_factorization': [[[15116544, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 22518410504044769, 'p': 67}
  • id: 538719
    {'charpoly_factorization': [[[72, 1], 4]], 'hecke_orbit_code': 22518410504044769, 'p': 71}
  • id: 538720
    {'charpoly_factorization': [[[15116544, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 22518410504044769, 'p': 73}
  • id: 538721
    {'charpoly_factorization': [[[4900, 0, 1], 2]], 'hecke_orbit_code': 22518410504044769, 'p': 79}
  • id: 538722
    {'charpoly_factorization': [[[33732864, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 22518410504044769, 'p': 83}
  • id: 538723
    {'charpoly_factorization': [[[8100, 0, 1], 2]], 'hecke_orbit_code': 22518410504044769, 'p': 89}
  • id: 538724
    {'charpoly_factorization': [[[448084224, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 22518410504044769, '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': 7, 'hecke_orbit': 6, 'label': '225.3.g.f', 'level': 225, 'portrait': 'data:image/png;base64,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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 44504719
    {'hecke_orbit_code': 22518410504044769, 'n': 1, 'trace_an': 4}
  • id: 44504720
    {'hecke_orbit_code': 22518410504044769, 'n': 2, 'trace_an': 0}
  • id: 44504721
    {'hecke_orbit_code': 22518410504044769, 'n': 3, 'trace_an': 0}
  • id: 44504722
    {'hecke_orbit_code': 22518410504044769, 'n': 4, 'trace_an': 0}
  • id: 44504723
    {'hecke_orbit_code': 22518410504044769, 'n': 5, 'trace_an': 0}
  • id: 44504724
    {'hecke_orbit_code': 22518410504044769, 'n': 6, 'trace_an': 0}
  • id: 44504725
    {'hecke_orbit_code': 22518410504044769, 'n': 7, 'trace_an': 0}
  • id: 44504726
    {'hecke_orbit_code': 22518410504044769, 'n': 8, 'trace_an': 0}
  • id: 44504727
    {'hecke_orbit_code': 22518410504044769, 'n': 9, 'trace_an': 0}
  • id: 44504728
    {'hecke_orbit_code': 22518410504044769, 'n': 10, 'trace_an': 0}
  • id: 44504729
    {'hecke_orbit_code': 22518410504044769, 'n': 11, 'trace_an': 72}
  • id: 44504730
    {'hecke_orbit_code': 22518410504044769, 'n': 12, 'trace_an': 0}
  • id: 44504731
    {'hecke_orbit_code': 22518410504044769, 'n': 13, 'trace_an': 0}
  • id: 44504732
    {'hecke_orbit_code': 22518410504044769, 'n': 14, 'trace_an': 0}
  • id: 44504733
    {'hecke_orbit_code': 22518410504044769, 'n': 15, 'trace_an': 0}
  • id: 44504734
    {'hecke_orbit_code': 22518410504044769, 'n': 16, 'trace_an': 44}
  • id: 44504735
    {'hecke_orbit_code': 22518410504044769, 'n': 17, 'trace_an': 0}
  • id: 44504736
    {'hecke_orbit_code': 22518410504044769, 'n': 18, 'trace_an': 0}
  • id: 44504737
    {'hecke_orbit_code': 22518410504044769, 'n': 19, 'trace_an': 0}
  • id: 44504738
    {'hecke_orbit_code': 22518410504044769, 'n': 20, 'trace_an': 0}
  • id: 44504739
    {'hecke_orbit_code': 22518410504044769, 'n': 21, 'trace_an': 0}
  • id: 44504740
    {'hecke_orbit_code': 22518410504044769, 'n': 22, 'trace_an': 0}
  • id: 44504741
    {'hecke_orbit_code': 22518410504044769, 'n': 23, 'trace_an': 0}
  • id: 44504742
    {'hecke_orbit_code': 22518410504044769, 'n': 24, 'trace_an': 0}
  • id: 44504743
    {'hecke_orbit_code': 22518410504044769, 'n': 25, 'trace_an': 0}
  • id: 44504744
    {'hecke_orbit_code': 22518410504044769, 'n': 26, 'trace_an': 72}
  • id: 44504745
    {'hecke_orbit_code': 22518410504044769, 'n': 27, 'trace_an': 0}
  • id: 44504746
    {'hecke_orbit_code': 22518410504044769, 'n': 28, 'trace_an': 0}
  • id: 44504747
    {'hecke_orbit_code': 22518410504044769, 'n': 29, 'trace_an': 0}
  • id: 44504748
    {'hecke_orbit_code': 22518410504044769, 'n': 30, 'trace_an': 0}
  • id: 44504749
    {'hecke_orbit_code': 22518410504044769, 'n': 31, 'trace_an': 88}
  • id: 44504750
    {'hecke_orbit_code': 22518410504044769, 'n': 32, 'trace_an': 0}
  • id: 44504751
    {'hecke_orbit_code': 22518410504044769, 'n': 33, 'trace_an': 0}
  • id: 44504752
    {'hecke_orbit_code': 22518410504044769, 'n': 34, 'trace_an': 0}
  • id: 44504753
    {'hecke_orbit_code': 22518410504044769, 'n': 35, 'trace_an': 0}
  • id: 44504754
    {'hecke_orbit_code': 22518410504044769, 'n': 36, 'trace_an': 0}
  • id: 44504755
    {'hecke_orbit_code': 22518410504044769, 'n': 37, 'trace_an': 0}
  • id: 44504756
    {'hecke_orbit_code': 22518410504044769, 'n': 38, 'trace_an': 0}
  • id: 44504757
    {'hecke_orbit_code': 22518410504044769, 'n': 39, 'trace_an': 0}
  • id: 44504758
    {'hecke_orbit_code': 22518410504044769, 'n': 40, 'trace_an': 0}
  • id: 44504759
    {'hecke_orbit_code': 22518410504044769, 'n': 41, 'trace_an': 72}
  • id: 44504760
    {'hecke_orbit_code': 22518410504044769, 'n': 42, 'trace_an': 0}
  • id: 44504761
    {'hecke_orbit_code': 22518410504044769, 'n': 43, 'trace_an': 0}
  • id: 44504762
    {'hecke_orbit_code': 22518410504044769, 'n': 44, 'trace_an': 0}
  • id: 44504763
    {'hecke_orbit_code': 22518410504044769, 'n': 45, 'trace_an': 0}
  • id: 44504764
    {'hecke_orbit_code': 22518410504044769, 'n': 46, 'trace_an': -192}
  • id: 44504765
    {'hecke_orbit_code': 22518410504044769, 'n': 47, 'trace_an': 0}
  • id: 44504766
    {'hecke_orbit_code': 22518410504044769, 'n': 48, 'trace_an': 0}
  • id: 44504767
    {'hecke_orbit_code': 22518410504044769, 'n': 49, 'trace_an': 0}
  • id: 44504768
    {'hecke_orbit_code': 22518410504044769, 'n': 50, 'trace_an': 0}
  • id: 44504769
    {'hecke_orbit_code': 22518410504044769, 'n': 51, 'trace_an': 0}
  • id: 44504770
    {'hecke_orbit_code': 22518410504044769, 'n': 52, 'trace_an': 0}
  • id: 44504771
    {'hecke_orbit_code': 22518410504044769, 'n': 53, 'trace_an': 0}
  • id: 44504772
    {'hecke_orbit_code': 22518410504044769, 'n': 54, 'trace_an': 0}
  • id: 44504773
    {'hecke_orbit_code': 22518410504044769, 'n': 55, 'trace_an': 0}
  • id: 44504774
    {'hecke_orbit_code': 22518410504044769, 'n': 56, 'trace_an': -360}
  • id: 44504775
    {'hecke_orbit_code': 22518410504044769, 'n': 57, 'trace_an': 0}
  • id: 44504776
    {'hecke_orbit_code': 22518410504044769, 'n': 58, 'trace_an': 0}
  • id: 44504777
    {'hecke_orbit_code': 22518410504044769, 'n': 59, 'trace_an': 0}
  • id: 44504778
    {'hecke_orbit_code': 22518410504044769, 'n': 60, 'trace_an': 0}
  • id: 44504779
    {'hecke_orbit_code': 22518410504044769, 'n': 61, 'trace_an': 8}
  • id: 44504780
    {'hecke_orbit_code': 22518410504044769, 'n': 62, 'trace_an': 0}
  • id: 44504781
    {'hecke_orbit_code': 22518410504044769, 'n': 63, 'trace_an': 0}
  • id: 44504782
    {'hecke_orbit_code': 22518410504044769, 'n': 64, 'trace_an': 0}
  • id: 44504783
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  • id: 44504784
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  • id: 44504786
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  • id: 44504788
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  • id: 44504789
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  • id: 44504790
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  • id: 44504791
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  • id: 44504792
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  • id: 44504793
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  • id: 44504794
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  • id: 44504795
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  • id: 44504796
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  • id: 44504797
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  • id: 44504798
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  • id: 44504799
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  • id: 44504800
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  • id: 44504801
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  • id: 44504802
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  • id: 44504803
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  • id: 44504804
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  • id: 44504805
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  • id: 44504806
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  • id: 44504807
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  • id: 44504808
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  • id: 44504809
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  • id: 44504810
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  • id: 44504811
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  • id: 44504812
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  • id: 44504813
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  • id: 44504814
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  • id: 44504815
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  • id: 44504816
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  • id: 44504817
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  • id: 44504818
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  • id: 44504819
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  • id: 44504820
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  • id: 44504821
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  • id: 44504822
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  • id: 44504823
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  • id: 44504824
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  • id: 44504825
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  • id: 44504826
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  • id: 44504827
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  • id: 44504828
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  • id: 44504829
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  • id: 44504830
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  • id: 44504831
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  • id: 44504832
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  • id: 44504833
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  • id: 44504834
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  • id: 44504835
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  • id: 44504836
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  • id: 44504837
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  • id: 44504838
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  • id: 44504839
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  • id: 44504840
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  • id: 44504841
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  • id: 44504842
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  • id: 44504843
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  • id: 44504844
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  • id: 44504845
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  • id: 44504846
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  • id: 44504847
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  • id: 44504848
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  • id: 44504849
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  • id: 44504850
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  • id: 44504851
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  • id: 44504852
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  • id: 44504853
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  • id: 44504854
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  • id: 44504855
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  • id: 44504856
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  • id: 44504857
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  • id: 44504858
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  • id: 44504859
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  • id: 44504860
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  • id: 44504861
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  • id: 44504862
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  • id: 44504863
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  • id: 44504864
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  • id: 44504865
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  • id: 44504866
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  • id: 44504867
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  • id: 44504868
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  • id: 44504869
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  • id: 44504870
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  • id: 44504871
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  • id: 44504872
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  • id: 44504873
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  • id: 44504874
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  • id: 44504875
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  • id: 44504876
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  • id: 44504877
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  • id: 44504878
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  • id: 44504879
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  • id: 44504880
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  • id: 44504881
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  • id: 44504882
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  • id: 44504883
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  • id: 44504884
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  • id: 44504885
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  • id: 44504886
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  • id: 44504887
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  • id: 44504888
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  • id: 44504889
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  • id: 44504890
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  • id: 44504891
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  • id: 44504892
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  • id: 44504893
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  • id: 44504894
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  • id: 44504895
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  • id: 44504896
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  • id: 44504897
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  • id: 44504898
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  • id: 44504899
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  • id: 44504900
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  • id: 44504901
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  • id: 44504902
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  • id: 44504903
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  • id: 44504904
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  • id: 44504905
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  • id: 44504906
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  • id: 44504908
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  • id: 44504909
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  • id: 44504910
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  • id: 44504911
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  • id: 44504912
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  • id: 44504913
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  • id: 44504914
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  • id: 44504915
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  • id: 44504916
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  • id: 44504917
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  • id: 44504918
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  • id: 44504919
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  • id: 44504920
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  • id: 44504921
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  • id: 44504922
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  • id: 44504923
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  • id: 44504924
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  • id: 44504925
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  • id: 44504926
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  • id: 44504927
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  • id: 44504928
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  • id: 44504929
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  • id: 44504930
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  • id: 44504931
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  • id: 44504932
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  • id: 44504933
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  • id: 44504934
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  • id: 44504935
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  • id: 44504936
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  • id: 44504937
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  • id: 44504938
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  • id: 44504939
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  • id: 44504940
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  • id: 44504941
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  • id: 44504942
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  • id: 44504943
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  • id: 44504944
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  • id: 44504945
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  • id: 44504946
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  • id: 44504947
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  • id: 44504948
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  • id: 44504949
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  • id: 44504950
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  • id: 44504953
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  • id: 44504954
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  • id: 44504959
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  • id: 44504960
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  • id: 44504961
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  • id: 44504962
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  • id: 44504963
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  • id: 44504964
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  • id: 44504965
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  • id: 44504966
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  • id: 44504967
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  • id: 44504968
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  • id: 44504969
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  • id: 44504970
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  • id: 44504971
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  • id: 44504972
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  • id: 44504973
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  • id: 44504974
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