Embedded newform data - 855.2.cj.d.658.1

Formats: - HTML - YAML - JSON - 2025-09-06T01:25:45.059573

• 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': 3420, 'analytic_conductor': 6.827209372819473, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 95, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 62, 'char_orbit_label': 'cj', 'char_order': 12, 'char_parity': 1, 'char_values': [855, 12, [191, 172, 496], [12, 3, 2]], 'cm_discs': [], 'conrey_index': 217, 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [36, -36, 18, -6, 1]], [7, [8, 4, 1]], [11, [-5, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13514990803747671, 'hecke_ring_generator_nbound': 5, '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, 3, -1, 4, 0], [1, 1, 19, 4, -1, 6, 0], [1, 1, 95, 12, 1, 12, 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': '855.2.cj.d', 'level': 855, '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': [3, 5, 19], 'level_radical': 285, 'minimal_twist': '95.2.l.a', 'nf_label': '4.0.144.1', 'prim_orbit_index': 12, 'qexp_display': 'q+(1-\\zeta_{12}+\\zeta_{12}^{2}+2\\zeta_{12}^{3})q^{2}+(-4\\zeta_{12}+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c12', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '855.2.cj', 'trace_display': [6, 0, 4, -8], 'trace_hash': 887209432347194727, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.053', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.793', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.418', 'prec': 17}, {'__RealLiteral__': 0, 'data': '66.771', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1842.610', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.379', 'prec': 17}, 'traces': [4, 6, 0, 0, 4, 0, -8, 0, 0, 18, 20, 0, 0, 0, 0, 8, 4, 0, 0, 16, 0, 30, 6, 0, -6, 0, 0, 16, 0, 0, 0, 0, 0, 0, -12, 0, 0, -12, 0, -12, 12, 0, -14, 0, 0, 0, -12, 0, 0, 0, 0, 0, 18, 0, 20, 0, 0, -12, 0, 0, 10, 18, 0, 0, 0, 0, -24, -32, 0, -24, 18, 0, 2, 0, 0, -56, -40, 0, 0, -16, 0, 12, -20, 0, -12, -84, 0, 0, 0, 0, 0, -24, 0, 0, -16, 0, -18, -6, 0, 32, 10, 0, 0, 0, 0, 72, 0, 0, 0, 90, 0, -16, 0, 0, 12, -24, 0, 18, 0, 0, 56, 0, 0, 0, -8, 0, -24, 48, 0, 0, 20, 0, -4, 0, 0, -48, 16, 0, 0, 32, 0, 18, 0, 0, 0, 12, 0, -24, 0, 0, 0, -60, 0, 0, -36, 0, 14, -6, 0, 0, -24, 0, -44, 0, 0, -60, -48, 0, 0, 0, 0, -112, -12, 0, 28, 40, 0, -36, 0, 0, 24, 0, 0, 0, -18, 0, 20, -48, 0, 18, 28, 0, -24, 0, 0, -8, 24, 0, 0, 12, 0, 0, 12, 0, 24, 48, 0, 0, 0, 0, -90, 72, 0, 0, 14, 0, 0, -6, 0, 80, 0, 0, 66, 0, 0, 12, 0, 0, 0, 72, 0, -12, -18, 0, -72, 0, 0, 48, 0, 0, -42, 84, 0, 0, 2, 0, 0, -72, 0, -78, -10, 0, 30, 0, 0, 64, 60, 0, 0, 0, 0, 60, 26, 0, 0, 48, 0, 96, 0, 0, 30, -16, 0, 0, -30, 0, 16, 0, 0, 96, 12, 0, -8, 0, 0, 0, -24, 0, 0, -6, 0, 16, 0, 0, -18, -48, 0, -114, 0, 0, 56, -54, 0, 0, 40, 0, 30, 80, 0, -54, 80, 0, -40, 0, 0, 0, -54, 0, 0, -16, 0, 0, 32, 0, 0, -132, 0, 24, 0, 0, 0, -40, 0, 0, 0, 0, -42, -78, 0, -16, 0, 0, -48, 0, 0, -24, 16, 0, 0, 0, 0, 0, -24, 0, 36, -72, 0, 66, 0, 0, 74, 48, 0, 0, -2, 0, 44, 48, 0, -12, -72, 0, 0, 0, 0, -144, 0, 0, 0, 16, 0, 42, -72, 0, -60, -48, 0, 0, 0, 0, 48, 0, 0, 0, 6, 0, -8, 0, 0, -48, 126, 0, 0, 0, 0, 48, 0, 0, 0, 72, 0, 96, -36, 0, -10, 0, 0, -60, 0, 0, -42, -90, 0, 0, -56, 0, -20, 24, 0, 0, -78, 0, -24, 0, 0, 0, 42, 0, 0, -60, 0, 0, 12, 0, 0, 132, 0, -64, 0, 0, 60, 24, 0, 0, 0, 0, -40, -54, 0, 72, -10, 0, 32, 0, 0, -108, -36, 0, 0, -72, 0, -36, -70, 0, -56, 128, 0, -66, 0, 0, 0, -84, 0, 0, -54, 0, 0, 60, 0, -6, 74, 0, 0, 0, 0, -72, -36, 0, 0, -88, 0, 0, -20, 0, 40, 0, 0, 96, 0, 0, -8, 0, 0, 0, -24, 0, -60, 24, 0, 0, 0, 0, -30, 0, 0, 156, -36, 0, 0, 72, 0, 112, 0, 0, 18, 96, 0, 6, 0, 0, 66, 90, 0, 0, 6, 0, -90, 64, 0, 0, 18, 0, 12, 0, 0, 144, 66, 0, 0, 48, 0, 24, 0, 0, -6, -48, 0, 36, 0, 0, 36, 0, 0, 0, -6, 0, -28, 0, 0, -48, 80, 0, 90, 0, 0, 48, 36, 0, 0, 36, 0, -24, 56, 0, 16, -304, 0, 0, 0, 0, 0, 168, 0, 0, 56, 0, 0, 0, 0, 90, 0, 0, -22, 0, 0, 0, -10, 0, 0, 0, 0, 120, 36, 0, 14, 0, 0, -112, 0, 0, -82, 12, 0, 0, 0, 0, 0, -60, 0, 48, 30, 0, -40, 0, 0, 72, -40, 0, 0, 0, 0, -88, 92, 0, -40, 48, 0, 0, 0, 0, 102, 0, 0, 0, -32, 0, 18, 192, 0, -48, 50, 0, 0, 0, 0, -208, 0, 0, 0, -96, 0, 90, 0, 0, 96, -144, 0, 56, 0, 0, 60, 0, 0, 0, 72, 0, 24, -108, 0, -16, -44, 0, 30, 0, 0, -72, -20, 0, 0, 108, 0, -36, 54, 0, 0, 264, 0, 204, 0, 0, 0, 126, 0, 0, -24, 0, -38, 0, 0, 0, 56, 0, 76, 0, 0, 0, -120, 0, 0, 0, 0, -144, 54, 0, -38, 48, 0, -160, 0, 0, 30, -96, 0, 0, 108, 0, -28, 114, 0, -72, -136, 0, 12, 0, 0, -144, 0, 0, 0, -120, 0, 0, -24, 0, -54, -72, 0, 0, 0, 0, 90, 72, 0, 0, -42, 0, 0, -48, 0, -12, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 126, 10, 0, -96, 0, 0, 60, 0, 0, -138, 48, 0, 0, -22, 0, 112, -228, 0, 48, -58, 0, 4, 0, 0, -72, -60, 0, 0, -120, 0, 0, -4, 0, 0, -280, 0, -186, 0, 0, 52, -42, 0, 0, -26, 0, -112, 0, 0, -96, 36, 0, -34, 0, 0, 48, 138, 0, 0, -168, 0, -156, 0, 0, -12, -96, 0, 144, 0, 0, 0, 12, 0, 0, 104, 0, 18, 102, 0, -80, -188, 0, -28, 0, 0, 0, -108, 0, 0, -18, 0, 0, 84, 0, 66, -192, 0, 54, 0, 0, 0, 60, 0, 0, 0, 0, -12, 120, 0, 0, 0, 0, -100, 0, 0, -72, -40, 0, 0, 0, 0, -30, 0, 0, -42, 96, 0, 0, 0, 0, 2, -144, 0, 0, -60, 0, -34, -192, 0, 48, 114, 0, 0, 0, 0, -420, -8, 0, 0, -30, 0, 96, 84, 0, 28, -88, 0, 0, 0, 0, 16, 0, 0, 0, -24, 0, -50, 0, 0, -72, 180, 0, 72, 0, 0, 80, 0, 0, 0, -32, 0, 222, 0, 0, 36, -24, 0, 0, 0, 0, -72, 0, 0, 0, -60, 0, 16, 36, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.4482877360840268, -1.6730326074756159], [0.0, 0.0], [-1.7320508075688772, -1.0], [0.05991526087921625, 0.9982034669914623], [0.0, 0.0], [-0.7559289460184545, 0.7559289460184545], [-1.224744871391589, 1.224744871391589], [0.0, 0.0], [1.6968862258283537, 0.3472421872324923], [1.507556722888818, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9258200997725514, 1.6035674514745464], [0.0, 0.0], [0.5, 0.8660254037844386], [0.6626196502447359, 0.17754840017206996], [0.0, 0.0], [0.9933992677987828, 0.11470786693528089], [0.8944271909999159, -1.7888543819998317], [0.0, 0.0], [0.6758191903220827, -2.522191555012074], [0.8545079599715736, -0.22896471780034927], [0.0, 0.0], [-0.992820323027551, 0.11961524227066318], [0.0, 0.0], [0.0, 0.0], [2.065236287434409, -0.5533783953974998], [0.16081688022566923, -0.2785430072655778], [0.0, 0.0], [0.0, 0.9332565252573828], [0.0, 0.0], [0.0, 0.0], [0.5940885257860046, -1.028991510855053], [-0.7998625747216699, -0.7092792147079765], [0.0, 0.0], [0.2847473987257497, 0.2847473987257497], [0.6372387105057451, -1.6105672372903204], [0.0, 0.0], [-1.295925485283006, -1.1491636683231876], [0.4685212856658182, -0.2705008904002297], [0.0, 0.0], [0.39072845547778867, -1.4582184478060214], [-2.6111648393354674, -1.507556722888818], [0.0, 0.0], [0.0, -1.5322617553657474], [0.3203417544661834, 1.1955317034535506], [0.0, 0.0], [0.0, -0.14285714285714285], [-0.2449489742783178, 1.7146428199482247], [0.0, 0.0], [0.0, 0.0], [0.2612493241959358, 0.9749957513422655], [0.0, 0.0], [0.09032565434209985, 1.5048483474739054], [0.0, -1.8516401995451028], [0.0, 0.0], [-0.3939192985791677, -0.3939192985791677], [0.338240712601273, 0.5858500994137074], [0.0, 0.0], [0.3200921998322399, -0.5544159532159296], [1.561368597894992, 0.4183674548932774], [0.0, 0.0], [0.0, 1.0], [0.0, 0.0], [0.0, 0.0], [-1.1562240356529903, 0.30980929662267237], [-0.9701425001453319, -0.9701425001453319], [0.0, 0.0], [-1.5452158368114612, 1.0202349955958598], [0.5340517461872339, -0.3083349194223892], [0.0, 0.0], [-0.04284003316185761, 0.15988118035798818], [0.6040404496926218, -0.34874291623145787], [0.0, 0.0], [-1.6059101370939324, -1.1920791213585393], [-1.1396057645963795, 1.1396057645963795], [0.0, 0.0], [-0.09743547036924463, -0.1687631851389036], [-0.8345119301206996, 0.5509898714915044], [0.0, 0.0], [-0.24252446353246482, -0.905113619981544], [-0.5488212999484517, -0.5488212999484517], [0.0, 0.0], [-0.1375283994024394, 0.6720670908859626], [-2.264488237272207, -1.3074028933658497], [0.0, 0.0], [-1.846372364689991, 1.846372364689991], [0.27539552761294706, -0.47699904600286197], [0.0, 0.0], [0.0, 0.0], [-1.7090159199431472, -0.45792943560069854], [0.0, 0.0], [2.143768803031489, 0.0], [-0.05498201417860622, 0.998487344995851], [0.0, 0.0], [-0.19311110251788144, 0.7207004461023757], [-0.23900465821080225, -0.06404110515486097], [0.0, 0.0], [1.8392304845413263, 0.7856406460551019], [0.2487592975524973, -0.43086374221606955], [0.0, 0.0], [-0.6826561487862891, 0.6826561487862891], [0.0, 0.0], [0.0, 0.0], [1.7483145522430754, 0.0], [-0.16744367165578428, -0.16744367165578428], [0.0, 0.0], [-0.08295018954139965, -0.14367394278317272], [2.558152237724968, 0.5234872938329614], [0.0, 0.0], [-1.0326181437172044, -0.2766891976987499], [-0.1629376339780705, 0.1629376339780705], [0.0, 0.0], [0.2797514424720941, 0.8392543274162824], [-0.5570860145311556, 0.32163376045133846], [0.0, 0.0], [1.1317754827154363, -0.30325832660694524], [-0.6351073488299558, 0.36667939881128453], [0.0, 0.0], [1.2727272727272727, 0.0], [-0.784062560233975, -0.784062560233975], [0.0, 0.0], [0.9332565252573828, -1.616447718240974], [-0.17888543819998318, -0.9838699100999074], [0.0, 0.0], [-0.8398032173968043, 0.22502459390253227], [1.6730326074756159, 0.4482877360840268], [0.0, 0.0], [0.0, 0.0], [0.43685202833051895, 0.7566499084579774], [0.0, 0.0], [-0.8376502584350503, 0.6642282645302263], [0.0, 2.0732842213952645], [0.0, 0.0], [-1.028991510855053, 0.5940885257860046], [-0.2501732853136837, -0.9336594114870925], [0.0, 0.0], [-1.322195688560858, -0.7633700367119738], [0.6761234037828132, 2.02837021134844], [0.0, 0.0], [-0.2764455259670274, -1.0317087484340475], [0.0, 0.0], [0.0, 0.0], [0.2876779808912305, 0.14383899044561524], [0.24828176658071038, 0.14334554477024897], [0.0, 0.0], [-0.20844956319032218, -0.7779443606418216], [1.348003744045146, -0.7782703244930884], [0.0, 0.0], [0.0, -1.2685706614843368], [-1.357148530217973, 1.076172786743465], [0.0, 0.0], [1.3957263155977062, 2.417468892076141], [-0.9315798991043247, 0.05591630817802696], [0.0, 0.0], [0.7631448710269637, 0.20448405189962823], [-0.3260254381049409, 0.0873582528522219], [0.0, 0.0], [0.0, 0.0], [-0.47286624374346037, 0.8190283593479222], [0.0, 0.0], [-0.8615864949867531, -0.8615864949867531], [-1.0820035616009187, 0.0], [0.0, 0.0], [-1.1642257885594993, 0.6721660724223313], [-1.4647083409714885, 0.39246741711043986], [0.0, 0.0], [0.8660254037844386, -0.5], 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0.01308750905119646, -0.46616265423000536, -0.4385359509060093, -0.39541099378307204, -0.345721519916274, -0.4243041871555977, -0.4712923516650191, -0.4189041545522579, 0.059099246092069346, -0.3150169629035132, 0.02256329924654238, -0.07655844301254504, -0.22298218244325987, -0.11461069291160629, -0.304566633239045, -0.17642449159290738, -0.0004072559821801879, -0.20833333333333334, -0.3868783540441741, -0.07033474507428374], 'char_orbit_index': 62, 'conrey_index': 658, 'dual_conrey_index': 217, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 4, 'embedding_root_imag': -0.5, 'embedding_root_real': 0.8660254037844386, 'hecke_orbit': 4, 'hecke_orbit_code': 13514990803747671, 'label': '855.2.cj.d.658.1', 'level': 855, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 3420, 'analytic_conductor': 6.827209372819473, 'char_conductor': 95, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 62, 'char_orbit_label': 'cj', 'char_order': 12, 'char_parity': 1, 'char_values': [855, 12, [191, 172, 496], [12, 3, 2]], 'conrey_index': 217, 'cusp_dim': 448, 'dim': 192, 'eis_dim': 64, 'eis_new_dim': 16, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 4191921636183, 'hecke_orbit_dims': [4, 4, 4, 4, 24, 72, 80], 'label': '855.2.cj', 'level': 855, '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': [3, 5, 19], 'level_radical': 285, 'mf_dim': 512, 'mf_new_dim': 208, 'num_forms': 7, 'prim_orbit_index': 12, 'relative_dim': 48, 'sturm_bound': 240, 'trace_bound': 7, 'trace_display': [6, 0, 0, -12], 'traces': [192, 6, 0, 0, 0, 0, -12, 0, 0, -6, 24, 0, -6, 0, 0, 68, -2, 0, 0, 64, 0, -42, 6, 0, 8, 0, 0, 28, 0, 0, 0, 24, 0, 0, 18, 0, 0, 46, 0, -72, -24, 0, 4, 0, 0, 0, -12, 0, 0, 0, 0, -18, 24, 0, -52, 0, 0, 124, 0, 0, -44, 0, 0, 0, 0, 0, -78, 20, 0, -30, 12, 0, 26, 0, 0, 132, 20, 0, 0, -66, 0, 8, 12, 0, -6, -120, 0, 0, 0, 0, -84, -16, 0, 0, -14, 0, -48, -24, 0, 60, -4, 0, 0, 0, 0, -312, 0, 0, 0, -48, 0, -66, 0, 0, 40, -156, 0, -50, 0, 0, 96, 0, 0, 0, -24, 0, -126, 84, 0, 108, -72, 0, 44, 0, 0, -276, -62, 0, 0, 128, 0, 84, 96, 0, 0, -144, 0, -192, 0, 0, 0, 226, 0, 0, -6, 0, 42, 118, 0, 0, 52, 0, -40, 0, 0, -36, -102, 0, 0, 0, 0, 52, -234, 0, 50, 112, 0, 76, 0, 0, 108, -336, 0, 0, 0, 0, 78, -80, 0, 32, 88, 0, -108, 0, 0, -36, 72, 0, 0, -162, 0, 0, -84, 0, 12, 88, 0, 0, 0, 0, -12, -174, 0, 0, -176, 0, 0, -12, 0, -208, 0, 0, -24, 0, 0, -48, 0, 0, 0, 360, 0, 270, 42, 0, 168, 0, 0, -60, 0, 0, -60, 150, 0, 0, 114, 0, -138, -420, 0, -102, 132, 0, -168, 0, 0, -52, 276, 0, 0, 102, 0, 492, -4, 0, 0, -340, 0, 396, 0, 0, -124, -24, 0, 0, 12, 0, 192, 0, 0, 156, 336, 0, 0, 0, 0, -280, 264, 0, 0, -216, 0, 288, 0, 0, 42, 520, 0, 24, 0, 0, -32, 46, 0, 0, 136, 0, 114, 228, 0, 80, 48, 0, -10, 0, 0, 0, 120, 0, 0, -100, 0, 0, 50, 0, -30, 228, 0, -158, 0, 0, 0, -78, 0, 0, 0, 0, 30, 138, 0, -44, 0, 0, 204, 0, 0, 128, -162, 0, 0, 0, 0, -666, -88, 0, 54, -108, 0, -196, 0, 0, 52, -128, 0, 0, -164, 0, -16, -252, 0, -66, -420, 0, 0, 0, 0, 0, -156, 0, 0, -64, 0, -138, 120, 0, 44, 32, 0, 0, 0, 0, -368, 0, 0, 0, -126, 0, -2, 0, 0, -560, -180, 0, 26, 0, 0, 200, 0, 0, 0, 52, 0, -300, -120, 0, -166, 32, 0, -236, 0, 0, 132, -102, 0, 0, 52, 0, -58, 300, 0, 0, -264, 0, 102, 0, 0, 0, 256, 0, 0, 6, 0, 222, 294, 0, 0, 176, 0, 152, 0, 0, -132, -606, 0, 0, 0, 0, -12, -534, 0, 266, 172, 0, 304, 0, 0, -96, -516, 0, 0, -198, 0, 42, -132, 0, -132, -32, 0, 168, 0, 0, -24, 36, 0, 0, -294, 0, 0, -210, 0, 492, 92, 0, 0, 0, 0, 1044, 0, 0, 0, -384, 0, 0, 4, 0, -220, 0, 0, 0, 0, 0, 20, 0, 0, 0, 510, 0, 184, 418, 0, -268, 0, 0, -282, 0, 0, 324, 48, 0, 0, 280, 0, -226, -236, 0, 408, 372, 0, -158, 0, 0, 20, 468, 0, 0, 138, 0, 54, 242, 0, 0, -556, 0, 576, 0, 0, -148, -60, 0, 0, 24, 0, 236, 0, 0, -216, 744, 0, 456, 0, 0, 256, 894, 0, 0, -206, 0, -156, 0, 0, -192, 472, 0, 360, 0, 0, 0, 74, 0, 0, 816, 0, -6, 260, 0, 194, -56, 0, -58, 0, 0, 0, 846, 0, 0, -14, 0, 0, -26, 0, -438, 144, 0, -60, 0, 0, 0, -114, 0, 0, 0, 0, -180, 360, 0, 16, 0, 0, -72, 0, 0, 44, -440, 0, 0, 0, 0, -90, 80, 0, -318, -384, 0, -192, 0, 0, 644, 120, 0, 0, -408, 0, 98, 128, 0, 140, -444, 0, 0, 0, 0, -180, -200, 0, 0, -30, 0, -456, 12, 0, 296, 180, 0, 0, 0, 0, -264, 0, 0, 0, -450, 0, 8, 0, 0, -380, -960, 0, -230, 0, 0, 312, 0, 0, 0, 212, 0, -240, 222, 0, 312, -4, 0, -142, 0, 0, -108, -236, 0, 0, 212, 0, -172, 120, 0, 0, -1104, 0, -6, 0, 0, 0, 700, 0, 0, -336, 0, -50, 462, 0, 0, 68, 0, 152, 0, 0, 1044, -546, 0, 0, 0, 0, -24, -672, 0, 124, 352, 0, -800, 0, 0, 168, -708, 0, 0, 12, 0, 66, -304, 0, 342, -8, 0, 24, 0, 0, -300, -136, 0, 0, -270, 0, 0, -264, 0, 276, 520, 0, 0, 0, 0, -240, -576, 0, 0, -352, 0, 0, -192, 0, 276, 0, 0, -114, 0, 0, -28, 0, 0, 0, 972, 0, -24, 256, 0, -580, 0, 0, -546, 0, 0, 504, 732, 0, 0, 124, 0, -300, -1040, 0, -420, 292, 0, -222, 0, 0, -224, 312, 0, 0, 204, 0, 378, -16, 0, 0, -528, 0, -300, 0, 0, -252, -350, 0, 0, 174, 0, -28, 0, 0, 408, 288, 0, -36, 0, 0, 352, 468, 0, 0, -548, 0, 52, 0, 0, 210, 328, 0, -198, 0, 0, -260, 172, 0, 0, 188, 0, -144, 538, 0, 536, -288, 0, 214, 0, 0, 0, 510, 0, 0, -358, 0, 0, 8, 0, -816, -24, 0, -296, 0, 0, 0, 26, 0, 0, 0, 0, -516, 444, 0, -658, 0, 0, 220, 0, 0, -760, -484, 0, 0, 0, 0, 102, -104, 0, -648, -756, 0, 550, 0, 0, 524, 56, 0, 0, -220, 0, 94, -288, 0, 188, -204, 0, 0, 0, 0, -1548, -272, 0, 0, 142, 0, -462, 606, 0, 206, 344, 0, 0, 0, 0, -384, 0, 0, 0, -372, 0, -162, 0, 0, 196, -960, 0, -234, 0, 0, -1024, 0, 0, 0, -196, 0, -84, -222, 0, 136, -584, 0, 548, 0, 0, -468, -706, 0, 0, -20, 0, 414, 270, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 43831260
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 658, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13514990803747671, 'source_is_minimal': False, 'source_label': '855.2.cj.d.658.1', 'source_level': 855, 'target_conrey_index': 658, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13514990803747671, 'target_is_minimal': False, 'target_label': '855.2.cj.d.658.1', 'target_level': 855, 'twist_class_label': '95.2.l.a.8.1', 'twist_class_level': 95, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 43831261
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 658, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13514990803747671, 'source_is_minimal': False, 'source_label': '855.2.cj.d.658.1', 'source_level': 855, 'target_conrey_index': 88, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 755947798623, 'target_is_minimal': True, 'target_label': '95.2.l.a.88.1', 'target_level': 95, 'twist_class_label': '95.2.l.a.8.1', 'twist_class_level': 95, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 43831262
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 658, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13514990803747671, 'source_is_minimal': False, 'source_label': '855.2.cj.d.658.1', 'source_level': 855, 'target_conrey_index': 487, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13514990803747671, 'target_is_minimal': False, 'target_label': '855.2.cj.d.487.1', 'target_level': 855, 'twist_class_label': '95.2.l.a.8.1', 'twist_class_level': 95, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 43831263
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 658, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13514990803747671, 'source_is_minimal': False, 'source_label': '855.2.cj.d.658.1', 'source_level': 855, 'target_conrey_index': 12, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 755947798623, 'target_is_minimal': True, 'target_label': '95.2.l.a.12.1', 'target_level': 95, 'twist_class_label': '95.2.l.a.8.1', 'twist_class_level': 95, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 43831264
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 658, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13514990803747671, 'source_is_minimal': False, 'source_label': '855.2.cj.d.658.1', 'source_level': 855, 'target_conrey_index': 107, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511829707817435, 'target_is_minimal': False, 'target_label': '475.2.p.d.107.1', 'target_level': 475, 'twist_class_label': '95.2.l.a.8.1', 'twist_class_level': 95, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 43831265
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 658, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13514990803747671, 'source_is_minimal': False, 'source_label': '855.2.cj.d.658.1', 'source_level': 855, 'target_conrey_index': 468, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511829707817435, 'target_is_minimal': False, 'target_label': '475.2.p.d.468.1', 'target_level': 475, 'twist_class_label': '95.2.l.a.8.1', 'twist_class_level': 95, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 43831266
    {'conductor': 19, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 658, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13514990803747671, 'source_is_minimal': False, 'source_label': '855.2.cj.d.658.1', 'source_level': 855, 'target_conrey_index': 388, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13514990803747671, 'target_is_minimal': False, 'target_label': '855.2.cj.d.388.1', 'target_level': 855, 'twist_class_label': '95.2.l.a.8.1', 'twist_class_level': 95, 'twisting_char_label': '19.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 43831267
    {'conductor': 57, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 658, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13514990803747671, 'source_is_minimal': False, 'source_label': '855.2.cj.d.658.1', 'source_level': 855, 'target_conrey_index': 8, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 755947798623, 'target_is_minimal': True, 'target_label': '95.2.l.a.8.1', 'target_level': 95, 'twist_class_label': '95.2.l.a.8.1', 'twist_class_level': 95, 'twisting_char_label': '57.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 43831268
    {'conductor': 95, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 658, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13514990803747671, 'source_is_minimal': False, 'source_label': '855.2.cj.d.658.1', 'source_level': 855, 'target_conrey_index': 217, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13514990803747671, 'target_is_minimal': False, 'target_label': '855.2.cj.d.217.1', 'target_level': 855, 'twist_class_label': '95.2.l.a.8.1', 'twist_class_level': 95, 'twisting_char_label': '95.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 43831269
    {'conductor': 285, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 658, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13514990803747671, 'source_is_minimal': False, 'source_label': '855.2.cj.d.658.1', 'source_level': 855, 'target_conrey_index': 407, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511829707817435, 'target_is_minimal': False, 'target_label': '475.2.p.d.407.1', 'target_level': 475, 'twist_class_label': '95.2.l.a.8.1', 'twist_class_level': 95, 'twisting_char_label': '285.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 43831270
    {'conductor': 285, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 658, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13514990803747671, 'source_is_minimal': False, 'source_label': '855.2.cj.d.658.1', 'source_level': 855, 'target_conrey_index': 27, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 755947798623, 'target_is_minimal': True, 'target_label': '95.2.l.a.27.1', 'target_level': 95, 'twist_class_label': '95.2.l.a.8.1', 'twist_class_level': 95, 'twisting_char_label': '285.122', 'twisting_conrey_index': 122, 'weight': 2}
  • id: 43831271
    {'conductor': 285, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 658, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13514990803747671, 'source_is_minimal': False, 'source_label': '855.2.cj.d.658.1', 'source_level': 855, 'target_conrey_index': 293, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511829707817435, 'target_is_minimal': False, 'target_label': '475.2.p.d.293.1', 'target_level': 475, 'twist_class_label': '95.2.l.a.8.1', 'twist_class_level': 95, 'twisting_char_label': '285.179', 'twisting_conrey_index': 179, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1416150
    {'charpoly_factorization': [[[36, -36, 18, -6, 1], 1]], 'hecke_orbit_code': 13514990803747671, 'p': 2}
  • id: 1416151
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 13514990803747671, 'p': 3}
  • id: 1416152
    {'charpoly_factorization': [[[25, -20, 11, -4, 1], 1]], 'hecke_orbit_code': 13514990803747671, 'p': 5}
  • id: 1416153
    {'charpoly_factorization': [[[8, 4, 1], 2]], 'hecke_orbit_code': 13514990803747671, 'p': 7}
  • id: 1416154
    {'charpoly_factorization': [[[-5, 1], 4]], 'hecke_orbit_code': 13514990803747671, 'p': 11}
  • id: 1416155
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 13514990803747671, 'p': 13}
  • id: 1416156
    {'charpoly_factorization': [[[64, -32, 8, -4, 1], 1]], 'hecke_orbit_code': 13514990803747671, 'p': 17}
  • id: 1416157
    {'charpoly_factorization': [[[361, 0, -37, 0, 1], 1]], 'hecke_orbit_code': 13514990803747671, 'p': 19}
  • id: 1416158
    {'charpoly_factorization': [[[324, -108, 18, -6, 1], 1]], 'hecke_orbit_code': 13514990803747671, 'p': 23}
  • id: 1416159
    {'charpoly_factorization': [[[9, 0, 3, 0, 1], 1]], 'hecke_orbit_code': 13514990803747671, 'p': 29}
  • id: 1416160
    {'charpoly_factorization': [[[27, 0, 1], 2]], 'hecke_orbit_code': 13514990803747671, 'p': 31}
  • id: 1416161
    {'charpoly_factorization': [[[36, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 13514990803747671, 'p': 37}
  • id: 1416162
    {'charpoly_factorization': [[[12, -6, 1], 2]], 'hecke_orbit_code': 13514990803747671, 'p': 41}
  • id: 1416163
    {'charpoly_factorization': [[[9604, 1372, 98, 14, 1], 1]], 'hecke_orbit_code': 13514990803747671, 'p': 43}
  • id: 1416164
    {'charpoly_factorization': [[[5184, 864, 72, 12, 1], 1]], 'hecke_orbit_code': 13514990803747671, 'p': 47}
  • id: 1416165
    {'charpoly_factorization': [[[2916, -972, 162, -18, 1], 1]], 'hecke_orbit_code': 13514990803747671, 'p': 53}
  • id: 1416166
    {'charpoly_factorization': [[[729, 0, 27, 0, 1], 1]], 'hecke_orbit_code': 13514990803747671, 'p': 59}
  • id: 1416167
    {'charpoly_factorization': [[[25, -5, 1], 2]], 'hecke_orbit_code': 13514990803747671, 'p': 61}
  • id: 1416168
    {'charpoly_factorization': [[[9216, 2304, 288, 24, 1], 1]], 'hecke_orbit_code': 13514990803747671, 'p': 67}
  • id: 1416169
    {'charpoly_factorization': [[[27, -9, 1], 2]], 'hecke_orbit_code': 13514990803747671, 'p': 71}
  • id: 1416170
    {'charpoly_factorization': [[[4, -4, 2, -2, 1], 1]], 'hecke_orbit_code': 13514990803747671, 'p': 73}
  • id: 1416171
    {'charpoly_factorization': [[[9, 0, 3, 0, 1], 1]], 'hecke_orbit_code': 13514990803747671, 'p': 79}
  • id: 1416172
    {'charpoly_factorization': [[[50, 10, 1], 2]], 'hecke_orbit_code': 13514990803747671, 'p': 83}
  • id: 1416173
    {'charpoly_factorization': [[[729, 0, 27, 0, 1], 1]], 'hecke_orbit_code': 13514990803747671, 'p': 89}
  • id: 1416174
    {'charpoly_factorization': [[[2916, 972, 162, 18, 1], 1]], 'hecke_orbit_code': 13514990803747671, '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': 62, 'hecke_orbit': 4, 'label': '855.2.cj.d', 'level': 855, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 37804975
    {'hecke_orbit_code': 13514990803747671, 'n': 1, 'trace_an': 4}
  • id: 37804976
    {'hecke_orbit_code': 13514990803747671, 'n': 2, 'trace_an': 6}
  • id: 37804977
    {'hecke_orbit_code': 13514990803747671, 'n': 3, 'trace_an': 0}
  • id: 37804978
    {'hecke_orbit_code': 13514990803747671, 'n': 4, 'trace_an': 0}
  • id: 37804979
    {'hecke_orbit_code': 13514990803747671, 'n': 5, 'trace_an': 4}
  • id: 37804980
    {'hecke_orbit_code': 13514990803747671, 'n': 6, 'trace_an': 0}
  • id: 37804981
    {'hecke_orbit_code': 13514990803747671, 'n': 7, 'trace_an': -8}
  • id: 37804982
    {'hecke_orbit_code': 13514990803747671, 'n': 8, 'trace_an': 0}
  • id: 37804983
    {'hecke_orbit_code': 13514990803747671, 'n': 9, 'trace_an': 0}
  • id: 37804984
    {'hecke_orbit_code': 13514990803747671, 'n': 10, 'trace_an': 18}
  • id: 37804985
    {'hecke_orbit_code': 13514990803747671, 'n': 11, 'trace_an': 20}
  • id: 37804986
    {'hecke_orbit_code': 13514990803747671, 'n': 12, 'trace_an': 0}
  • id: 37804987
    {'hecke_orbit_code': 13514990803747671, 'n': 13, 'trace_an': 0}
  • id: 37804988
    {'hecke_orbit_code': 13514990803747671, 'n': 14, 'trace_an': 0}
  • id: 37804989
    {'hecke_orbit_code': 13514990803747671, 'n': 15, 'trace_an': 0}
  • id: 37804990
    {'hecke_orbit_code': 13514990803747671, 'n': 16, 'trace_an': 8}
  • id: 37804991
    {'hecke_orbit_code': 13514990803747671, 'n': 17, 'trace_an': 4}
  • id: 37804992
    {'hecke_orbit_code': 13514990803747671, 'n': 18, 'trace_an': 0}
  • id: 37804993
    {'hecke_orbit_code': 13514990803747671, 'n': 19, 'trace_an': 0}
  • id: 37804994
    {'hecke_orbit_code': 13514990803747671, 'n': 20, 'trace_an': 16}
  • id: 37804995
    {'hecke_orbit_code': 13514990803747671, 'n': 21, 'trace_an': 0}
  • id: 37804996
    {'hecke_orbit_code': 13514990803747671, 'n': 22, 'trace_an': 30}
  • id: 37804997
    {'hecke_orbit_code': 13514990803747671, 'n': 23, 'trace_an': 6}
  • id: 37804998
    {'hecke_orbit_code': 13514990803747671, 'n': 24, 'trace_an': 0}
  • id: 37804999
    {'hecke_orbit_code': 13514990803747671, 'n': 25, 'trace_an': -6}
  • id: 37805000
    {'hecke_orbit_code': 13514990803747671, 'n': 26, 'trace_an': 0}
  • id: 37805001
    {'hecke_orbit_code': 13514990803747671, 'n': 27, 'trace_an': 0}
  • id: 37805002
    {'hecke_orbit_code': 13514990803747671, 'n': 28, 'trace_an': 16}
  • id: 37805003
    {'hecke_orbit_code': 13514990803747671, 'n': 29, 'trace_an': 0}
  • id: 37805004
    {'hecke_orbit_code': 13514990803747671, 'n': 30, 'trace_an': 0}
  • id: 37805005
    {'hecke_orbit_code': 13514990803747671, 'n': 31, 'trace_an': 0}
  • id: 37805006
    {'hecke_orbit_code': 13514990803747671, 'n': 32, 'trace_an': 0}
  • id: 37805007
    {'hecke_orbit_code': 13514990803747671, 'n': 33, 'trace_an': 0}
  • id: 37805008
    {'hecke_orbit_code': 13514990803747671, 'n': 34, 'trace_an': 0}
  • id: 37805009
    {'hecke_orbit_code': 13514990803747671, 'n': 35, 'trace_an': -12}
  • id: 37805010
    {'hecke_orbit_code': 13514990803747671, 'n': 36, 'trace_an': 0}
  • id: 37805011
    {'hecke_orbit_code': 13514990803747671, 'n': 37, 'trace_an': 0}
  • id: 37805012
    {'hecke_orbit_code': 13514990803747671, 'n': 38, 'trace_an': -12}
  • id: 37805013
    {'hecke_orbit_code': 13514990803747671, 'n': 39, 'trace_an': 0}
  • id: 37805014
    {'hecke_orbit_code': 13514990803747671, 'n': 40, 'trace_an': -12}
  • id: 37805015
    {'hecke_orbit_code': 13514990803747671, 'n': 41, 'trace_an': 12}
  • id: 37805016
    {'hecke_orbit_code': 13514990803747671, 'n': 42, 'trace_an': 0}
  • id: 37805017
    {'hecke_orbit_code': 13514990803747671, 'n': 43, 'trace_an': -14}
  • id: 37805018
    {'hecke_orbit_code': 13514990803747671, 'n': 44, 'trace_an': 0}
  • id: 37805019
    {'hecke_orbit_code': 13514990803747671, 'n': 45, 'trace_an': 0}
  • id: 37805020
    {'hecke_orbit_code': 13514990803747671, 'n': 46, 'trace_an': 0}
  • id: 37805021
    {'hecke_orbit_code': 13514990803747671, 'n': 47, 'trace_an': -12}
  • id: 37805022
    {'hecke_orbit_code': 13514990803747671, 'n': 48, 'trace_an': 0}
  • id: 37805023
    {'hecke_orbit_code': 13514990803747671, 'n': 49, 'trace_an': 0}
  • id: 37805024
    {'hecke_orbit_code': 13514990803747671, 'n': 50, 'trace_an': 0}
  • id: 37805025
    {'hecke_orbit_code': 13514990803747671, 'n': 51, 'trace_an': 0}
  • id: 37805026
    {'hecke_orbit_code': 13514990803747671, 'n': 52, 'trace_an': 0}
  • id: 37805027
    {'hecke_orbit_code': 13514990803747671, 'n': 53, 'trace_an': 18}
  • id: 37805028
    {'hecke_orbit_code': 13514990803747671, 'n': 54, 'trace_an': 0}
  • id: 37805029
    {'hecke_orbit_code': 13514990803747671, 'n': 55, 'trace_an': 20}
  • id: 37805030
    {'hecke_orbit_code': 13514990803747671, 'n': 56, 'trace_an': 0}
  • id: 37805031
    {'hecke_orbit_code': 13514990803747671, 'n': 57, 'trace_an': 0}
  • id: 37805032
    {'hecke_orbit_code': 13514990803747671, 'n': 58, 'trace_an': -12}
  • id: 37805033
    {'hecke_orbit_code': 13514990803747671, 'n': 59, 'trace_an': 0}
  • id: 37805034
    {'hecke_orbit_code': 13514990803747671, 'n': 60, 'trace_an': 0}
  • id: 37805035
    {'hecke_orbit_code': 13514990803747671, 'n': 61, 'trace_an': 10}
  • id: 37805036
    {'hecke_orbit_code': 13514990803747671, 'n': 62, 'trace_an': 18}
  • id: 37805037
    {'hecke_orbit_code': 13514990803747671, 'n': 63, 'trace_an': 0}
  • id: 37805038
    {'hecke_orbit_code': 13514990803747671, 'n': 64, 'trace_an': 0}
  • id: 37805039
    {'hecke_orbit_code': 13514990803747671, 'n': 65, 'trace_an': 0}
  • id: 37805040
    {'hecke_orbit_code': 13514990803747671, 'n': 66, 'trace_an': 0}
  • id: 37805041
    {'hecke_orbit_code': 13514990803747671, 'n': 67, 'trace_an': -24}
  • id: 37805042
    {'hecke_orbit_code': 13514990803747671, 'n': 68, 'trace_an': -32}
  • id: 37805043
    {'hecke_orbit_code': 13514990803747671, 'n': 69, 'trace_an': 0}
  • id: 37805044
    {'hecke_orbit_code': 13514990803747671, 'n': 70, 'trace_an': -24}
  • id: 37805045
    {'hecke_orbit_code': 13514990803747671, 'n': 71, 'trace_an': 18}
  • id: 37805046
    {'hecke_orbit_code': 13514990803747671, 'n': 72, 'trace_an': 0}
  • id: 37805047
    {'hecke_orbit_code': 13514990803747671, 'n': 73, 'trace_an': 2}
  • id: 37805048
    {'hecke_orbit_code': 13514990803747671, 'n': 74, 'trace_an': 0}
  • id: 37805049
    {'hecke_orbit_code': 13514990803747671, 'n': 75, 'trace_an': 0}
  • id: 37805050
    {'hecke_orbit_code': 13514990803747671, 'n': 76, 'trace_an': -56}
  • id: 37805051
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  • id: 37805052
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  • id: 37805053
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  • id: 37805054
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  • id: 37805055
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  • id: 37805056
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  • id: 37805057
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  • id: 37805058
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  • id: 37805059
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  • id: 37805060
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  • id: 37805061
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  • id: 37805062
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  • id: 37805063
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  • id: 37805064
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  • id: 37805065
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  • id: 37805066
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  • id: 37805067
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  • id: 37805068
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  • id: 37805069
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  • id: 37805070
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  • id: 37805071
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  • id: 37805072
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  • id: 37805073
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  • id: 37805074
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  • id: 37805075
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  • id: 37805076
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  • id: 37805077
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  • id: 37805078
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  • id: 37805080
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  • id: 37805081
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  • id: 37805082
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  • id: 37805083
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  • id: 37805084
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  • id: 37805085
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  • id: 37805086
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  • id: 37805087
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  • id: 37805089
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  • id: 37805090
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  • id: 37805091
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  • id: 37805092
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  • id: 37805093
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  • id: 37805094
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  • id: 37805095
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  • id: 37805096
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  • id: 37805097
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  • id: 37805098
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  • id: 37805099
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  • id: 37805100
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  • id: 37805101
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  • id: 37805102
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  • id: 37805106
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  • id: 37805108
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  • id: 37805110
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  • id: 37805111
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  • id: 37805112
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  • id: 37805113
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  • id: 37805115
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  • id: 37805116
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  • id: 37805117
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  • id: 37805119
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  • id: 37805120
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  • id: 37805121
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  • id: 37805122
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  • id: 37805123
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  • id: 37805124
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  • id: 37805125
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  • id: 37805126
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  • id: 37805127
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  • id: 37805128
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  • id: 37805131
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  • id: 37805132
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  • id: 37805133
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  • id: 37805134
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  • id: 37805135
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  • id: 37805136
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  • id: 37805137
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  • id: 37805138
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  • id: 37805139
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  • id: 37805140
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  • id: 37805141
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  • id: 37805142
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  • id: 37805143
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  • id: 37805144
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  • id: 37805145
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  • id: 37805146
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  • id: 37805147
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  • id: 37805148
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  • id: 37805149
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  • id: 37805150
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  • id: 37805151
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  • id: 37805152
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  • id: 37805153
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  • id: 37805154
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  • id: 37805155
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  • id: 37805156
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  • id: 37805157
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  • id: 37805158
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  • id: 37805159
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  • id: 37805160
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  • id: 37805161
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  • id: 37805162
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  • id: 37805163
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  • id: 37805164
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  • id: 37805165
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  • id: 37805166
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  • id: 37805167
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  • id: 37805168
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  • id: 37805169
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  • id: 37805170
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  • id: 37805171
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  • id: 37805172
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  • id: 37805173
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  • id: 37805174
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  • id: 37805175
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  • id: 37805176
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  • id: 37805177
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  • id: 37805178
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  • id: 37805179
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  • id: 37805180
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  • id: 37805181
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  • id: 37805182
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  • id: 37805183
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  • id: 37805184
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  • id: 37805185
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  • id: 37805186
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  • id: 37805187
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  • id: 37805188
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  • id: 37805189
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  • id: 37805190
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  • id: 37805191
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  • id: 37805192
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  • id: 37805193
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  • id: 37805194
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  • id: 37805195
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  • id: 37805196
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  • id: 37805197
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  • id: 37805198
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  • id: 37805199
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  • id: 37805200
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  • id: 37805201
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  • id: 37805202
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  • id: 37805203
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  • id: 37805204
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  • id: 37805205
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  • id: 37805206
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  • id: 37805207
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  • id: 37805208
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  • id: 37805209
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  • id: 37805210
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  • id: 37805211
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  • id: 37805212
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  • id: 37805213
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  • id: 37805214
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  • id: 37805215
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  • id: 37805216
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  • id: 37805217
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  • id: 37805218
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  • id: 37805219
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  • id: 37805220
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  • id: 37805221
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  • id: 37805222
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  • id: 37805223
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  • id: 37805224
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  • id: 37805225
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  • id: 37805226
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  • id: 37805227
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  • id: 37805228
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  • id: 37805229
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  • id: 37805230
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  • id: 37805231
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  • id: 37805232
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