Embedded newform data - 416.2.k.b.31.1

Formats: - HTML - YAML - JSON - 2026-04-19T15:12:07.724960

• 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': 1664, 'analytic_conductor': 3.321776724085264, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 52, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 4, 'char_parity': 1, 'char_values': [416, 4, [287, 261, 353], [2, 4, 3]], 'cm_discs': [], 'conrey_index': 31, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [4, 0, 1]], [7, [2, -2, 1]], [11, [18, -6, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504286855692704, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 52, 6, 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': True, 'label': '416.2.k.b', 'level': 416, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 13], 'level_radical': 26, 'minimal_twist': '416.2.k.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 6, 'qexp_display': 'q+2 i q^{3}+(-i-1)q^{5}+(i+1)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '416.2.k', 'trace_display': [0, 0, -2, 2], 'trace_hash': 2004742164400198889, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.942', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.203', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.876', 'prec': 20}, {'__RealLiteral__': 0, 'data': '3.642', 'prec': 17}, {'__RealLiteral__': 0, 'data': '102.266', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.249', 'prec': 17}, 'traces': [2, 0, 0, 0, -2, 0, 2, 0, -2, 0, 6, 0, -6, 0, 4, 0, 0, 0, -6, 0, -4, 0, 0, 0, 0, 0, 0, 0, -12, 0, 6, 0, -12, 0, 0, 0, 6, 0, -8, 0, 2, 0, -8, 0, 2, 0, 10, 0, 0, 0, -16, 0, 12, 0, 0, 0, -12, 0, 14, 0, 28, 0, -2, 0, 10, 0, 10, 0, 0, 0, -10, 0, 18, 0, 12, 0, 0, 0, 0, 0, -22, 0, -14, 0, 8, 0, 0, 0, 10, 0, -10, 0, 12, 0, 12, 0, 26, 0, -6, 0, 0, 0, -16, 0, 8, 0, 0, 0, -18, 0, 12, 0, -4, 0, 0, 0, 6, 0, -8, 0, 0, 0, -4, 0, -16, 0, -32, 0, 0, 0, 0, 0, -12, 0, 8, 0, -6, 0, 0, 0, -20, 0, -30, 0, 12, 0, 20, 0, -26, 0, 18, 0, 0, 0, -12, 0, 4, 0, 0, 0, 0, 0, 6, 0, 24, 0, 26, 0, 10, 0, 6, 0, 0, 0, 6, 0, -28, 0, 40, 0, 0, 0, 0, 0, -12, 0, -24, 0, -8, 0, 0, 0, 10, 0, -4, 0, 14, 0, 16, 0, 20, 0, -12, 0, 0, 0, 0, 0, -36, 0, 0, 0, -20, 0, 8, 0, 12, 0, 36, 0, -16, 0, 14, 0, 0, 0, 26, 0, 6, 0, -24, 0, 0, 0, 0, 0, 24, 0, -34, 0, -30, 0, 0, 0, -10, 0, 6, 0, -28, 0, -8, 0, 0, 0, 16, 0, 0, 0, 12, 0, 12, 0, 0, 0, -12, 0, 20, 0, 20, 0, -38, 0, 4, 0, 18, 0, 0, 0, -6, 0, 2, 0, -40, 0, 0, 0, 0, 0, 2, 0, -52, 0, -18, 0, 0, 0, -24, 0, 0, 0, -8, 0, 64, 0, -28, 0, -10, 0, 0, 0, 0, 0, -20, 0, 0, 0, 6, 0, -36, 0, 56, 0, -24, 0, 12, 0, 36, 0, 0, 0, 34, 0, -6, 0, -20, 0, 0, 0, 0, 0, 36, 0, 24, 0, 0, 0, 0, 0, 6, 0, -16, 0, 34, 0, 20, 0, -16, 0, 2, 0, 0, 0, -28, 0, -36, 0, 0, 0, -2, 0, 12, 0, 20, 0, -32, 0, 36, 0, -46, 0, 0, 0, -18, 0, 12, 0, 8, 0, 0, 0, 0, 0, 56, 0, -12, 0, 14, 0, 0, 0, -14, 0, -6, 0, 22, 0, 36, 0, -6, 0, -12, 0, 0, 0, 28, 0, 88, 0, 0, 0, 6, 0, -10, 0, 24, 0, 28, 0, 12, 0, 22, 0, 0, 0, -24, 0, 0, 0, -80, 0, 0, 0, 0, 0, -20, 0, 52, 0, 2, 0, 0, 0, -36, 0, 8, 0, 26, 0, -32, 0, 22, 0, 10, 0, 0, 0, 8, 0, 20, 0, 0, 0, -24, 0, 18, 0, -12, 0, -46, 0, -6, 0, 0, 0, 0, 0, 46, 0, -12, 0, 8, 0, 0, 0, 0, 0, -20, 0, -54, 0, -52, 0, 0, 0, -32, 0, 48, 0, 22, 0, 36, 0, -24, 0, 16, 0, 0, 0, -96, 0, -20, 0, 0, 0, 12, 0, 24, 0, -46, 0, -14, 0, -10, 0, -28, 0, 0, 0, 30, 0, -2, 0, 16, 0, 0, 0, 0, 0, -28, 0, 36, 0, 12, 0, 0, 0, 30, 0, 24, 0, -48, 0, -40, 0, 4, 0, -22, 0, 0, 0, 40, 0, -40, 0, 0, 0, 10, 0, 20, 0, -28, 0, 36, 0, -10, 0, -14, 0, 0, 0, -28, 0, -6, 0, 16, 0, 0, 0, 0, 0, -52, 0, -10, 0, 14, 0, 0, 0, 24, 0, -50, 0, -18, 0, 8, 0, -46, 0, 6, 0, 0, 0, 20, 0, 2, 0, 0, 0, 24, 0, 2, 0, -40, 0, 32, 0, 20, 0, 10, 0, 0, 0, -14, 0, -16, 0, -64, 0, 0, 0, 0, 0, 36, 0, -28, 0, -18, 0, 0, 0, 38, 0, 48, 0, 12, 0, 0, 0, 28, 0, 84, 0, 0, 0, 24, 0, 44, 0, 0, 0, 52, 0, -10, 0, 12, 0, 12, 0, -36, 0, 42, 0, 0, 0, -44, 0, -8, 0, 64, 0, 0, 0, 0, 0, 40, 0, 32, 0, -66, 0, 0, 0, 0, 0, 24, 0, -68, 0, -80, 0, -16, 0, -60, 0, 0, 0, 96, 0, -26, 0, 0, 0, -34, 0, -20, 0, 60, 0, 14, 0, 60, 0, -26, 0, 0, 0, 14, 0, 28, 0, 96, 0, 0, 0, 0, 0, -84, 0, 0, 0, 58, 0, 0, 0, -8, 0, -70, 0, 34, 0, -96, 0, 14, 0, -18, 0, 0, 0, -12, 0, -60, 0, 0, 0, -4, 0, 6, 0, -72, 0, -4, 0, -84, 0, 24, 0, 0, 0, -40, 0, -10, 0, 108, 0, 0, 0, 0, 0, 108, 0, -6, 0, 76, 0, 0, 0, 24, 0, 10, 0, -18, 0, -32, 0, 36, 0, -66, 0, 0, 0, -64, 0, 40, 0, 0, 0, 24, 0, -46, 0, 14, 0, 4, 0, -34, 0, -14, 0, 0, 0, 0, 0, 14, 0, -12, 0, 0, 0, 0, 0, -8, 0, 70, 0, 48, 0, 0, 0, 36, 0, -10, 0, -26, 0, -32, 0, 54, 0, -36, 0, 0, 0, -24, 0, 56, 0, 0, 0, -32, 0, -66, 0, -60, 0, -40, 0, 0, 0, -36, 0, 0, 0, 16, 0, -8, 0, -56, 0, 0, 0, 0, 0, -84, 0, 56, 0, 28, 0, 0, 0, 20, 0, 10, 0, -18, 0, 16, 0, 18, 0, 30, 0, 0, 0, 48, 0, -44, 0, 0, 0, -2, 0, 0, 0, 16, 0, 14, 0, -18, 0, -12, 0, 0, 0, 20, 0, 72, 0, -12, 0, 0, 0, 0, 0, -20, 0, 38, 0, 48, 0, 0, 0, 44, 0, -36, 0, 10, 0, 60, 0, 18, 0, 42, 0, 0, 0, -40, 0, 0, 0, 0, 0, 68, 0, -16, 0, -116, 0, 24, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, -1.1547005383792515], [0.0, 0.0], [-0.4472135954999579, 0.4472135954999579], [0.0, 0.0], [0.37796447300922725, -0.37796447300922725], [0.0, 0.0], [-0.3333333333333333, 0.0], [0.0, 0.0], [0.9045340337332909, -0.9045340337332909], [0.0, 0.0], [-0.8320502943378437, -0.5547001962252291], [0.0, 0.0], [0.5163977794943223, 0.5163977794943223], [0.0, 0.0], [0.0, -0.9701425001453319], [0.0, 0.0], [-0.6882472016116853, -0.6882472016116853], [0.0, 0.0], [-0.4364357804719848, -0.4364357804719848], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.6], [0.0, 0.0], [0.0, -0.769800358919501], [0.0, 0.0], [-1.1141720290623112, 0.0], [0.0, 0.0], [0.5388159060803247, 0.5388159060803247], [0.0, 0.0], [-1.044465935734187, -1.044465935734187], [0.0, 0.0], [0.0, 0.3380617018914066], [0.0, 0.0], [0.4931969619160719, 0.4931969619160719], [0.0, 0.0], [-0.6405126152203485, 0.9607689228305228], [0.0, 0.0], [0.15617376188860607, -0.15617376188860607], [0.0, 0.0], [-0.6099942813304187, 0.0], [0.0, 0.0], [0.14907119849998599, -0.14907119849998599], [0.0, 0.0], [0.7293249574894728, -0.7293249574894728], [0.0, 0.0], [0.0, 0.7142857142857143], [0.0, 0.0], [-1.1202240672224077, 0.0], [0.0, 0.0], [0.8241633836921342, 0.0], [0.0, 0.0], [0.0, 0.8090398349558905], [0.0, 0.0], [-0.7947194142390263, 0.7947194142390263], [0.0, 0.0], [0.9113223768657671, -0.9113223768657671], [0.0, 0.0], [1.7925163190605435, 0.0], [0.0, 0.0], [-0.12598815766974242, 0.12598815766974242], [0.0, 0.0], [0.6201736729460423, -0.12403473458920845], [0.0, 0.0], [0.6108472217815261, 0.6108472217815261], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5933908290969266, -0.5933908290969266], [0.0, 0.0], [1.0533703247651751, 1.0533703247651751], [0.0, 0.0], [0.6928203230275509, 0.0], [0.0, 0.0], [0.0, -0.6837634587578277], [0.0, 0.0], [0.0, 0.6750527405556144], [0.0, 0.0], [-1.2222222222222223, 0.0], [0.0, 0.0], [-0.7683498199278325, -0.7683498199278325], [0.0, 0.0], [0.4338609156373123, 0.4338609156373123], [0.0, 0.0], [0.0, 1.2865350418053538], [0.0, 0.0], [0.52999894000318, 0.52999894000318], [0.0, 0.0], [-0.5241424183609591, 0.10482848367219183], [0.0, 0.0], [0.6221710168382552, -0.6221710168382552], [0.0, 0.0], [0.6155870112510925, 0.0], [0.0, 0.0], [1.3199500146737047, -1.3199500146737047], [0.0, 0.0], [-0.30151134457776363, 0.30151134457776363], [0.0, 0.0], [0.0, 1.5920595043359826], [0.0, 0.0], [-0.7882634225314346, 0.0], [0.0, 0.0], [0.39036002917941326, 0.0], [0.0, 0.0], [0.0, 1.353431084663929], [0.0, 0.0], [-0.8620436566990363, 0.8620436566990363], [0.0, 0.0], [0.5694947974514994, -0.5694947974514994], [0.0, 0.0], [-0.18814417367671946, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.2773500981126146, 0.1849000654084097], [0.0, 0.0], [-0.36667939881128453, -0.36667939881128453], [0.0, 0.0], [0.0, -0.6363636363636364], [0.0, 0.0], [-0.18033392693348646, -0.18033392693348646], [0.0, 0.0], [-0.7155417527999327, -0.7155417527999327], [0.0, 0.0], [-1.419770415065782, 0.0], [0.0, 0.0], [0.0, 0.7043607250604991], [0.0, 0.0], [0.0, 1.2231856793254532], [0.0, 0.0], [-0.520265981714472, 0.0], [0.0, 0.0], [0.34426518632954817, 0.34426518632954817], [0.0, 0.0], [-0.25630729731502827, -0.25630729731502827], [0.0, 0.0], [0.0, 1.866015645295936], [0.0, 0.0], [-0.8421519210665189, -0.8421519210665189], [0.0, 0.0], [-1.2543630150106362, 0.2508726030021272], [0.0, 0.0], [0.49827287912243984, -0.49827287912243984], [0.0, 0.0], [0.8247860988423226, 0.0], [0.0, 0.0], [-1.0650014966747525, 1.0650014966747525], [0.0, 0.0], [0.7324096128940435, -0.7324096128940435], [0.0, 0.0], [0.0, 0.3233808333817773], [0.0, 0.0], [-0.4819315973414993, 0.0], [0.0, 0.0], [0.15961737689352443, 0.0], [0.0, 0.0], [0.0, -0.951661902861773], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.2349781349963872, -0.2349781349963872], [0.0, 0.0], [0.9341987329938276, 0.0], [0.0, 0.0], [1.005970202294378, -1.005970202294378], [0.0, 0.0], [0.38461538461538464, 0.9230769230769231], [0.0, 0.0], [0.22941573387056177, 0.22941573387056177], [0.0, 0.0], [0.0, -1.8246862110472932], [0.0, 0.0], [0.22677868380553634, 0.22677868380553634], [0.0, 0.0], [-1.0523044392039604, -1.0523044392039604], [0.0, 0.0], [1.4948701855038717, 0.0], [0.0, 0.0], [0.0, 0.29731765849886654], [0.0, 0.0], [0.0, -2.069819558672804], [0.0, 0.0], [-0.44112877325628463, 0.0], [0.0, 0.0], [-0.8775269089525568, -0.8775269089525568], [0.0, 0.0], [-0.29095718698132317, -0.29095718698132317], [0.0, 0.0], [0.0, -0.7235746052924217], [0.0, 0.0], [0.35990787537434726, 0.35990787537434726], [0.0, 0.0], [-0.14322297480788657, -0.7161148740394329], [0.0, 0.0], [0.4987293499153675, -0.4987293499153675], [0.0, 0.0], [0.5671049640066688, 0.0], [0.0, 0.0], [0.7053456158585982, -0.7053456158585982], [0.0, 0.0], [-0.42111744380615784, 0.42111744380615784], [0.0, 0.0], [0.0, 0.13968605915391563], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.2450860349589343, 0.0], [0.0, 0.0], [0.0, -0.6884283908215142], [0.0, 0.0], 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0.0], [0.0, 0.0], [0.0, -0.7040333438087629], [0.0, 0.0], [1.898538895623501, 0.0], [0.0, 0.0], [-0.10534424808309353, -0.10534424808309353], [0.0, 0.0], [1.3327181852805994, 1.3327181852805994], [0.0, 0.0], [0.0, 0.21017083323121763], [0.0, 0.0], [0.41982685712479173, 0.41982685712479173], [0.0, 0.0], [0.17471413945365305, -0.03494282789073061], [0.0, 0.0], [-0.3141021657418992, 0.3141021657418992], [0.0, 0.0], [-0.5577249395005999, 0.0], [0.0, 0.0], [0.6266795614405122, -0.6266795614405122], [0.0, 0.0], [-1.1475224349941895, 1.1475224349941895], [0.0, 0.0], [0.0, 1.3892574232943757], [0.0, 0.0], [-1.1100677010175364, 0.0], [0.0, 0.0], [0.6929589286752371, 0.0], [0.0, 0.0], [0.0, 0.8997671022677776], [0.0, 0.0], [0.4147806778921701, -0.4147806778921701], [0.0, 0.0], [-0.7940481817236842, 0.7940481817236842], [0.0, 0.0], [0.2413793103448276, 0.0], [0.0, 0.0], [0.06888365903182907, -0.06888365903182907], [0.0, 0.0], [-0.5848177787307143, -0.24080732065382351], [0.0, 0.0], [-0.24052284646041733, -0.24052284646041733], [0.0, 0.0], [0.0, 1.3727964461091604], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.23967543508926525, 0.23967543508926525], [0.0, 0.0], [-0.20519567041703082, 0.0], [0.0, 0.0], [0.0, -0.8198243828221861], [0.0, 0.0], [0.0, 0.47767383575445826], [0.0, 0.0], [-0.1363196353181994, 0.0], [0.0, 0.0], [1.1914138557471456, 1.1914138557471456], [0.0, 0.0], [0.816024481101655, 0.816024481101655], [0.0, 0.0], [0.0, -0.06792356108113244], [0.0, 0.0], [0.6106081783974825, 0.6106081783974825], [0.0, 0.0], [-0.1694185368929243, -0.8470926844646215], [0.0, 0.0], [-0.43998333822456825, 0.43998333822456825], [0.0, 0.0], [-0.5408987230262506, 0.0], [0.0, 0.0], [0.9117252181617853, -0.9117252181617853], [0.0, 0.0], [-0.6071249316193963, 0.6071249316193963], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.40383215288163876, 0.0], [0.0, 0.0], [0.9412097036339401, 0.0], [0.0, 0.0], [0.0, 1.007301416809612], [0.0, 0.0], [-0.5366227767244302, 0.5366227767244302], [0.0, 0.0], [-1.1055415967851332, 1.1055415967851332], [0.0, 0.0], [-1.003911722115382, 0.0], [0.0, 0.0], [-0.6685262704648756, 0.6685262704648756], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6003336113685631, -0.6003336113685631], [0.0, 0.0], [0.0, -0.7995559255833234], [0.0, 0.0], [0.26622333025588873, 0.26622333025588873], [0.0, 0.0], [-0.13296449906290672, -0.13296449906290672], [0.0, 0.0], [-0.9297247402392871, 0.0], [0.0, 0.0], [0.0, -0.5306865014453276], [0.0, 0.0], [0.0, 0.7288925181148288], [0.0, 0.0], [-1.3899971238751399, 0.0], [0.0, 0.0], [0.9256514468702008, 0.9256514468702008], [0.0, 0.0], [0.4623207306786785, 0.4623207306786785], [0.0, 0.0], [0.0, -1.1215565120818716], [0.0, 0.0], [0.32951120315946836, 0.32951120315946836], [0.0, 0.0], [0.1645770046691583, 0.8228850233457915], [0.0, 0.0], [-0.29591817714964314, 0.29591817714964314], [0.0, 0.0], [0.2627544741771448, 0.0], [0.0, 0.0], [0.295280421716154, -0.295280421716154], [0.0, 0.0], [0.49160514400834665, -0.49160514400834665], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7848839282012743, 0.0], [0.0, 0.0], [-0.7187086724232813, 0.0], [0.0, 0.0], [0.0, 0.6526753331648376], [0.0, 0.0], [-0.03259906833194042, 0.03259906833194042], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.2602400194529422, 0.0], [0.0, 0.0], [0.22746943584794896, -0.22746943584794896], [0.0, 0.0], [-0.292152362922538, -1.46076181461269], [0.0, 0.0], [-0.19456333053765645, -0.19456333053765645], [0.0, 0.0], [0.0, 0.7774362580700843], [0.0, 0.0], [0.3235924008452868, 0.3235924008452868], [0.0, 0.0], [1.1637147309034246, 1.1637147309034246], [0.0, 0.0], [-0.19375010511618798, 0.0], [0.0, 0.0], [0.0, -0.41935483870967744], [0.0, 0.0], [0.0, -0.45114369488797634], [0.0, 0.0], [-0.3219113899898252, 0.0], [0.0, 0.0], [0.6109988093151149, 0.6109988093151149], [0.0, 0.0], [0.7709910794438827, 0.7709910794438827], [0.0, 0.0], [0.0, 0.192549163141704], [0.0, 0.0], [0.7052876200012516, 0.7052876200012516], [0.0, 0.0], [-0.5764613536983136, -0.38430756913220915], [0.0, 0.0], [0.159964172037746, -0.159964172037746], [0.0, 0.0], [0.9588041581508896, 0.0], [0.0, 0.0], [0.28734788556634544, -0.28734788556634544], [0.0, 0.0], [0.6697959787149717, -0.6697959787149717], [0.0, 0.0], [0.0, 0.4460770915140163], [0.0, 0.0], [-0.6366070140792304, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.06353209379897959], [0.0, 0.0], [1.0789573871581406, -1.0789573871581406], [0.0, 0.0], [-0.25361704997929657, 0.25361704997929657], [0.0, 0.0], [-1.8368784301366554, 0.0], [0.0, 0.0], [0.3796631983009996, -0.3796631983009996], [0.0, 0.0]], 'angles': [None, -0.4020433619923482, -0.42620819117478337, -0.33194066786961945, -0.26454955791165263, None, -0.41939683159832913, -0.2058932446398651, -0.25, -0.3440403189239459, -0.06278982686100235, -0.06830431799539304, -0.35738835626136134, -0.2993277552285206, -0.2887639837180955, -0.18240091478658807, -0.2635531341602526, -0.0731375096991247, -0.0539156308103852, -0.1939131890384078, 0.008738369638041862, 0.054795107360511644, -0.21641370643523267, -0.06386155183337239, -0.1834375306261717, 0.14653507443782998, -0.3144773114342988, 0.11829865007139784, -0.47932631097289474, -0.2649942086844639, -0.37562660073914234, 0.10473545823979526, -0.15400499492146044, 0.1914128942803996, 0.26071387793765133, -0.2883584893904695, -0.23728452991592908, -0.3484324555797229, -0.24904695360585066, -0.3171355928772503, -0.11564254581107344, 0.02374781042145829, -0.4410833304528637, -0.08404565878758129, -0.3176394799370327, -0.20424349197669878, -0.44407268133035516, -0.0712294676809009, -0.020560564049315895, -0.10261581069051215, 0.0877986173506914, -0.48322809928058325, -0.24471295960773803, -0.27014529220994266, -0.3653777304125182, -0.4063660564243274, -0.2006959348307442, 0.27693956713193757, -0.42019613051417903, -0.11828446135998195, -0.35131277780328796, -0.18562733928192154, -0.4073368812051076, -0.25, -0.29560122325995963, -0.35599229607602517, -0.010124737588472512, 0.09168482376357538, 0.02574376818588593, 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-0.15626763330626936, -0.3582728292775194, -0.1927173175249123, -0.3848059434141461, -0.03748814800221059, 0.16110798247363242, -0.1805299015263587, -0.39659725128935386, -0.029458949200066434, 0.08867380197212497, -0.4549868652196835, -0.3839839889583342, -0.07531343210167642, -0.4482203033390313, -0.3458586036391572, -0.17974601750881572, -0.0801763176221336, -0.3882007289239925, 0.008381054064625654, -0.30364244312634564, -0.3465137879910144, -0.36295369737085476, -0.4174181277702491, -0.0509123616375637, -0.13686638431696707, -0.41064618811930587, -0.2949786807897995, 0.27565274983830595, 0.12221566029900309, -0.4698833157774741, -0.09789621864272632, -0.4327796696577682, 0.038383068021888386, 0.034445750016921545, -0.26349383838275475, 0.0, -0.2823584121588935, 0.08400506743862281, -0.32694809790131596, 0.05937085699626738, -0.4052510099038203, -0.34152296353200806, -0.3085015247251376, -0.37866900910887996, -0.34928900856222533, 0.06354100315237918, -0.053896715209940264, 0.015346345129177486, -0.35695909533042003, -0.29647400195683177, -0.4949434259541058, -0.43527489435714783], 'char_orbit_index': 11, 'conrey_index': 31, 'dual_conrey_index': 255, 'dual_embedding_index': 1, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4504286855692704, 'label': '416.2.k.b.31.1', 'level': 416, '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': 1664, 'analytic_conductor': 3.321776724085264, 'char_conductor': 52, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 4, 'char_parity': 1, 'char_values': [416, 4, [287, 261, 353], [2, 4, 3]], 'conrey_index': 31, 'cusp_dim': 96, 'dim': 28, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 11], 'hecke_orbit_code': 687228322208, 'hecke_orbit_dims': [2, 2, 4, 4, 8, 8], 'label': '416.2.k', 'level': 416, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 13], 'level_radical': 26, 'mf_dim': 128, 'mf_new_dim': 28, 'num_forms': 6, 'prim_orbit_index': 6, 'relative_dim': 14, 'sturm_bound': 112, 'trace_bound': 11, 'trace_display': [0, 0, -4, 0], 'traces': [28, 0, 0, 0, -4, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, -28, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 16, 0, 0, 0, 24, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, -24, 0, 0, 0, -12, 0, 0, 0, -16, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 44, 0, 0, 0, 16, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 60, 0, 0, 0, 48, 0, 0, 0, 80, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 16, 0, 0, 0, -192, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 192, 0, 0, 0, 76, 0, 0, 0, 36, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 48, 0, 0, 0, -16, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, -108, 0, 0, 0, -12, 0, 0, 0, -128, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -24, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, -172, 0, 0, 0, -80, 0, 0, 0, -192, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, -100, 0, 0, 0, -128, 0, 0, 0, 164, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 240, 0, 0, 0, -180, 0, 0, 0, -4, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 204, 0, 0, 0, 96, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 272, 0, 0, 0, 68, 0, 0, 0, 68, 0, 0, 0, 92, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 84, 0, 0, 0, -24, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, -156, 0, 0, 0, 176, 0, 0, 0, -84, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, -208, 0, 0, 0, 8, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, -240, 0, 0, 0, -112, 0, 0, 0, 124, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, -80, 0, 0, 0, -100, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -408, 0, 0, 0, 192, 0, 0, 0, 124, 0, 0, 0, 176, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, -576, 0, 0, 0, 100, 0, 0, 0, -80, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 484, 0, 0, 0, 112, 0, 0, 0, 196, 0, 0, 0, 124, 0, 0, 0, 0, 0, 0, 0, 220, 0, 0, 0, 280, 0, 0, 0, 208, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, -460, 0, 0, 0, 164, 0, 0, 0, 48, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, 0, -240, 0, 0, 0, -72, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, -592, 0, 0, 0, -212, 0, 0, 0, -32, 0, 0, 0, -432, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, -268, 0, 0, 0, -332, 0, 0, 0, 176, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 332, 0, 0, 0, -488, 0, 0, 0, 84, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 256, 0, 0, 0, 256, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 496, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, 224, 0, 0, 0, 20, 0, 0, 0, -172, 0, 0, 0, 0, 0, 0, 0, -148, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -384, 0, 0, 0, -48, 0, 0, 0, -204, 0, 0, 0, 252, 0, 0, 0, 0, 0, 0, 0, 864, 0, 0, 0, -80, 0, 0, 0, -208, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, -432, 0, 0, 0, -80, 0, 0, 0, 172, 0, 0, 0, -140, 0, 0, 0, 0, 0, 0, 0, -472, 0, 0, 0, -236, 0, 0, 0, 112, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -520, 0, 0, 0, 544, 0, 0, 0, 80, 0, 0, 0, 76, 0, 0, 0, -476, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 32, 0, 0, 0, -88, 0, 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: 36060780
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 31, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504286855692704, 'source_is_minimal': True, 'source_label': '416.2.k.b.31.1', 'source_level': 416, 'target_conrey_index': 31, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504286855692704, 'target_is_minimal': True, 'target_label': '416.2.k.b.31.1', 'target_level': 416, 'twist_class_label': '416.2.k.a.31.1', 'twist_class_level': 416, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 36060781
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 31, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504286855692704, 'source_is_minimal': True, 'source_label': '416.2.k.b.31.1', 'source_level': 416, 'target_conrey_index': 31, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 687228322208, 'target_is_minimal': True, 'target_label': '416.2.k.a.31.1', 'target_level': 416, 'twist_class_label': '416.2.k.a.31.1', 'twist_class_level': 416, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 36060782
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 31, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504286855692704, 'source_is_minimal': True, 'source_label': '416.2.k.b.31.1', 'source_level': 416, 'target_conrey_index': 447, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504286855693120, 'target_is_minimal': False, 'target_label': '832.2.k.b.447.1', 'target_level': 832, 'twist_class_label': '416.2.k.a.31.1', 'twist_class_level': 416, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 36060783
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 31, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504286855692704, 'source_is_minimal': True, 'source_label': '416.2.k.b.31.1', 'source_level': 416, 'target_conrey_index': 447, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007886483063616, 'target_is_minimal': False, 'target_label': '832.2.k.c.447.1', 'target_level': 832, 'twist_class_label': '416.2.k.a.31.1', 'twist_class_level': 416, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 36060784
    {'conductor': 13, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 31, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504286855692704, 'source_is_minimal': True, 'source_label': '416.2.k.b.31.1', 'source_level': 416, 'target_conrey_index': 255, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 687228322208, 'target_is_minimal': True, 'target_label': '416.2.k.a.255.1', 'target_level': 416, 'twist_class_label': '416.2.k.a.31.1', 'twist_class_level': 416, 'twisting_char_label': '13.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 36060785
    {'conductor': 52, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 31, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504286855692704, 'source_is_minimal': True, 'source_label': '416.2.k.b.31.1', 'source_level': 416, 'target_conrey_index': 255, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504286855692704, 'target_is_minimal': True, 'target_label': '416.2.k.b.255.1', 'target_level': 416, 'twist_class_label': '416.2.k.a.31.1', 'twist_class_level': 416, 'twisting_char_label': '52.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 36060786
    {'conductor': 104, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 31, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504286855692704, 'source_is_minimal': True, 'source_label': '416.2.k.b.31.1', 'source_level': 416, 'target_conrey_index': 255, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504286855693120, 'target_is_minimal': False, 'target_label': '832.2.k.b.255.1', 'target_level': 832, 'twist_class_label': '416.2.k.a.31.1', 'twist_class_level': 416, 'twisting_char_label': '104.21', 'twisting_conrey_index': 21, 'weight': 2}
  • id: 36060787
    {'conductor': 104, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 31, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504286855692704, 'source_is_minimal': True, 'source_label': '416.2.k.b.31.1', 'source_level': 416, 'target_conrey_index': 255, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007886483063616, 'target_is_minimal': False, 'target_label': '832.2.k.c.255.1', 'target_level': 832, 'twist_class_label': '416.2.k.a.31.1', 'twist_class_level': 416, 'twisting_char_label': '104.99', 'twisting_conrey_index': 99, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 857175
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504286855692704, 'p': 2}
  • id: 857176
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 3}
  • id: 857177
    {'charpoly_factorization': [[[2, 2, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 5}
  • id: 857178
    {'charpoly_factorization': [[[2, -2, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 7}
  • id: 857179
    {'charpoly_factorization': [[[18, -6, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 11}
  • id: 857180
    {'charpoly_factorization': [[[13, 6, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 13}
  • id: 857181
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 17}
  • id: 857182
    {'charpoly_factorization': [[[18, 6, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 19}
  • id: 857183
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4504286855692704, 'p': 23}
  • id: 857184
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 4504286855692704, 'p': 29}
  • id: 857185
    {'charpoly_factorization': [[[18, -6, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 31}
  • id: 857186
    {'charpoly_factorization': [[[18, -6, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 37}
  • id: 857187
    {'charpoly_factorization': [[[2, -2, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 41}
  • id: 857188
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 4504286855692704, 'p': 43}
  • id: 857189
    {'charpoly_factorization': [[[50, -10, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 47}
  • id: 857190
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 4504286855692704, 'p': 53}
  • id: 857191
    {'charpoly_factorization': [[[98, -14, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 59}
  • id: 857192
    {'charpoly_factorization': [[[-14, 1], 2]], 'hecke_orbit_code': 4504286855692704, 'p': 61}
  • id: 857193
    {'charpoly_factorization': [[[50, -10, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 67}
  • id: 857194
    {'charpoly_factorization': [[[50, 10, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 71}
  • id: 857195
    {'charpoly_factorization': [[[162, -18, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 73}
  • id: 857196
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 79}
  • id: 857197
    {'charpoly_factorization': [[[98, 14, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 83}
  • id: 857198
    {'charpoly_factorization': [[[50, -10, 1], 1]], 'hecke_orbit_code': 4504286855692704, 'p': 89}
  • id: 857199
    {'charpoly_factorization': [[[338, -26, 1], 1]], 'hecke_orbit_code': 4504286855692704, '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': 11, 'hecke_orbit': 2, 'label': '416.2.k.b', 'level': 416, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 23646193
    {'hecke_orbit_code': 4504286855692704, 'n': 1, 'trace_an': 2}
  • id: 23646194
    {'hecke_orbit_code': 4504286855692704, 'n': 2, 'trace_an': 0}
  • id: 23646195
    {'hecke_orbit_code': 4504286855692704, 'n': 3, 'trace_an': 0}
  • id: 23646196
    {'hecke_orbit_code': 4504286855692704, 'n': 4, 'trace_an': 0}
  • id: 23646197
    {'hecke_orbit_code': 4504286855692704, 'n': 5, 'trace_an': -2}
  • id: 23646198
    {'hecke_orbit_code': 4504286855692704, 'n': 6, 'trace_an': 0}
  • id: 23646199
    {'hecke_orbit_code': 4504286855692704, 'n': 7, 'trace_an': 2}
  • id: 23646200
    {'hecke_orbit_code': 4504286855692704, 'n': 8, 'trace_an': 0}
  • id: 23646201
    {'hecke_orbit_code': 4504286855692704, 'n': 9, 'trace_an': -2}
  • id: 23646202
    {'hecke_orbit_code': 4504286855692704, 'n': 10, 'trace_an': 0}
  • id: 23646203
    {'hecke_orbit_code': 4504286855692704, 'n': 11, 'trace_an': 6}
  • id: 23646204
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  • id: 23646205
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  • id: 23646206
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  • id: 23646207
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  • id: 23646208
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  • id: 23646209
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  • id: 23646210
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  • id: 23646211
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  • id: 23646212
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  • id: 23646213
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  • id: 23646214
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  • id: 23646215
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  • id: 23646216
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  • id: 23646217
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  • id: 23646218
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  • id: 23646219
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  • id: 23646220
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  • id: 23646221
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  • id: 23646222
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  • id: 23646223
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  • id: 23646224
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  • id: 23646225
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  • id: 23646226
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  • id: 23646227
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  • id: 23646228
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  • id: 23646229
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  • id: 23646230
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  • id: 23646231
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  • id: 23646232
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  • id: 23646233
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  • id: 23646234
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  • id: 23646235
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  • id: 23646236
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  • id: 23646237
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  • id: 23646238
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  • id: 23646239
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  • id: 23646240
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  • id: 23646241
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  • id: 23646242
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  • id: 23646243
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  • id: 23646244
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  • id: 23646245
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  • id: 23646246
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  • id: 23646247
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  • id: 23646248
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  • id: 23646249
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  • id: 23646250
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  • id: 23646251
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  • id: 23646252
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  • id: 23646253
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  • id: 23646254
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  • id: 23646255
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  • id: 23646256
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  • id: 23646257
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  • id: 23646258
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  • id: 23646259
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  • id: 23646260
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  • id: 23646261
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  • id: 23646262
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  • id: 23646263
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  • id: 23646264
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  • id: 23646265
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  • id: 23646266
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  • id: 23646267
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  • id: 23646268
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  • id: 23646269
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  • id: 23646270
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  • id: 23646271
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  • id: 23646272
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  • id: 23646273
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  • id: 23646274
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  • id: 23646275
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  • id: 23646276
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  • id: 23646277
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  • id: 23646278
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  • id: 23646279
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  • id: 23646280
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  • id: 23646281
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  • id: 23646282
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  • id: 23646283
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  • id: 23646284
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  • id: 23646285
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  • id: 23646286
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  • id: 23646287
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  • id: 23646288
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  • id: 23646289
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  • id: 23646290
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  • id: 23646291
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  • id: 23646292
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  • id: 23646293
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  • id: 23646294
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  • id: 23646295
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  • id: 23646296
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  • id: 23646297
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  • id: 23646298
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  • id: 23646299
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  • id: 23646300
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  • id: 23646301
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  • id: 23646302
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  • id: 23646303
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  • id: 23646304
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  • id: 23646305
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  • id: 23646306
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  • id: 23646307
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  • id: 23646308
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  • id: 23646309
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  • id: 23646310
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  • id: 23646311
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  • id: 23646312
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  • id: 23646313
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  • id: 23646314
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  • id: 23646315
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  • id: 23646316
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  • id: 23646317
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  • id: 23646318
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  • id: 23646319
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  • id: 23646320
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  • id: 23646321
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  • id: 23646322
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  • id: 23646323
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  • id: 23646324
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  • id: 23646325
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  • id: 23646326
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  • id: 23646327
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  • id: 23646328
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  • id: 23646329
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  • id: 23646330
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  • id: 23646331
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  • id: 23646332
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  • id: 23646333
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  • id: 23646334
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  • id: 23646335
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  • id: 23646336
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  • id: 23646337
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  • id: 23646338
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  • id: 23646339
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  • id: 23646340
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  • id: 23646341
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  • id: 23646342
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  • id: 23646343
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  • id: 23646344
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  • id: 23646345
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  • id: 23646346
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  • id: 23646347
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  • id: 23646348
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  • id: 23646349
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  • id: 23646350
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  • id: 23646351
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  • id: 23646352
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  • id: 23646353
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  • id: 23646354
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  • id: 23646355
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  • id: 23646356
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  • id: 23646357
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  • id: 23646358
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  • id: 23646359
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  • id: 23646360
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  • id: 23646361
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  • id: 23646362
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  • id: 23646363
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  • id: 23646364
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  • id: 23646365
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  • id: 23646366
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  • id: 23646367
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  • id: 23646368
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  • id: 23646369
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  • id: 23646370
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  • id: 23646371
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  • id: 23646372
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  • id: 23646373
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  • id: 23646374
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  • id: 23646375
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  • id: 23646376
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  • id: 23646377
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  • id: 23646378
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  • id: 23646379
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  • id: 23646380
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  • id: 23646381
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  • id: 23646382
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  • id: 23646383
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  • id: 23646384
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  • id: 23646385
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  • id: 23646386
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  • id: 23646387
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  • id: 23646388
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  • id: 23646389
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  • id: 23646390
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  • id: 23646391
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  • id: 23646392
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  • id: 23646393
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  • id: 23646394
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  • id: 23646395
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  • id: 23646396
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  • id: 23646397
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  • id: 23646398
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  • id: 23646399
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  • id: 23646400
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  • id: 23646401
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  • id: 23646402
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  • id: 23646403
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  • id: 23646404
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  • id: 23646405
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  • id: 23646406
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  • id: 23646407
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  • id: 23646408
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  • id: 23646409
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  • id: 23646410
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  • id: 23646411
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  • id: 23646412
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  • id: 23646413
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  • id: 23646414
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  • id: 23646415
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  • id: 23646416
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  • id: 23646417
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  • id: 23646418
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  • id: 23646419
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  • id: 23646420
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  • id: 23646421
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  • id: 23646422
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  • id: 23646423
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  • id: 23646424
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  • id: 23646425
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  • id: 23646426
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  • id: 23646427
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  • id: 23646428
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  • id: 23646429
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  • id: 23646430
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  • id: 23646431
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  • id: 23646432
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  • id: 23646433
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  • id: 23646434
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  • id: 23646435
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  • id: 23646436
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  • id: 23646437
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  • id: 23646438
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  • id: 23646439
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  • id: 23646440
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  • id: 23646441
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  • id: 23646442
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  • id: 23646443
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  • id: 23646444
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  • id: 23646445
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  • id: 23646446
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  • id: 23646447
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  • id: 23646448
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  • id: 23646449
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  • id: 23646450
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