Newform data - 12.16.a.a

Formats: - HTML - YAML - JSON - 2026-05-09T23:54:44.301028

• 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': 3072, 'analytic_conductor': 17.123220611990448, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [12, 1, [7, 5], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-45702, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 268435468, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '12.16.a.a', 'level': 12, '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, 3], 'level_radical': 6, 'minimal_twist': '12.16.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-3^{7}q^{3}+45702q^{5}+1217888q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '15.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '12.16.a', 'trace_display': [0, -2187, 45702, 1217888], 'trace_hash': 2258653213764157941, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.988', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.954', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.860', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 0, -2187, 0, 45702, 0, 1217888, 0, 4782969, 0, -26895924, 0, -162581770, 0, -99950274, 0, -743272542, 0, -4003014700, 0, -2663521056, 0, -30097540728, 0, -28428905321, 0, -10460353203, 0, 19021888926, 0, -4621552936, 0, 58821385788, 0, 55659917376, 0, 649297928654, 0, 355566330990, 0, 790230862890, 0, 1388728387532, 0, 218591249238, 0, -3933841180608, 0, -3264310329399, 0, 1625537049354, 0, -13472208095706, 0, -1229197518648, 0, 8754593148900, 0, -24672598493364, 0, 23630686395542, 0, 5825120549472, 0, -7430312052540, 0, 32385083278292, 0, 65823321572136, 0, -74451150070920, 0, 176524276453946, 0, 62174015937027, 0, -32756223088512, 0, -137959485182488, 0, 22876792454961, 0, -458794939458348, 0, -33969041714484, 0, -41600871081162, 0, -32239404369270, 0, -198006386701760, 0, 10107336271032, 0, -182945777819400, 0, 478308097627586, 0, -128642370718356, 0, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1], [0], [-2187], [0], [45702], [0], [1217888], [0], [4782969], [0], [-26895924], [0], [-162581770], [0], [-99950274], [0], [-743272542], [0], [-4003014700], [0], [-2663521056], [0], [-30097540728], [0], [-28428905321], [0], [-10460353203], [0], [19021888926], [0], [-4621552936], [0], [58821385788], [0], [55659917376], [0], [649297928654], [0], [355566330990], [0], [790230862890], [0], [1388728387532], [0], [218591249238], [0], [-3933841180608], [0], [-3264310329399], [0], [1625537049354], [0], [-13472208095706], [0], [-1229197518648], [0], [8754593148900], [0], [-24672598493364], [0], [23630686395542], [0], [5825120549472], [0], [-7430312052540], [0], [32385083278292], [0], [65823321572136], [0], [-74451150070920], [0], [176524276453946], [0], [62174015937027], [0], [-32756223088512], [0], [-137959485182488], [0], [22876792454961], [0], [-458794939458348], [0], [-33969041714484], [0], [-41600871081162], [0], [-32239404369270], [0], [-198006386701760], [0], [10107336271032], [0], [-182945777819400], [0], [478308097627586], [0], [-128642370718356], [0]], 'ap': [[0], [-2187], [45702], [1217888], [-26895924], [-162581770], [-743272542], [-4003014700], [-30097540728], [19021888926], [-4621552936], [649297928654], [790230862890], [1388728387532], [-3933841180608], [-13472208095706], [-24672598493364], [23630686395542], [32385083278292], [-74451150070920], [176524276453946], [-137959485182488], [-458794939458348], [-32239404369270], [478308097627586], [1637643553179318], [-922136356924912], [1946108089082844], [1301994815794742], [3403473856364466], [-5693697023514712], [5989695440892372], [-2918111663554326], [16326097165364444], [-17295052812656778], [26593573098022640], [11022712609545686], [-8741561840314300], [-27811798434939096], [-96028824653186562], [-1527576097010364], [56226604403451950], [223413853954247424], [24019851200424578], [174867641537208822], [-40021466650688368], [-317744049126149020], [-518380637223537880], [-103080911958134460], [237740757543773534], [-595188492486029190], [352689275840825232], [575221648947961778], [1080965151558467388], [-2347816362809374206], [136050251448222792], [-2302557822590534226], [-1060469332160790376], [670093233845992526], [-4402742820188389974], [268593348555988076], [2334522574818577206], [802474800039188804], [6072792257431531224], [967198941756605258], [4519995312580219998], [-11144680010677541188], [-12481169061641977486], [-6606446109414261156], [22775326828155494774], [-9541054458123715134], [-3436246296004357224], [14734517019738092648], [18012435602799489182], [7343371576244652092], [-16018755185599847424], [30379548561979075974], [-23872610797794608506], [-54549532322769506814], [-40705281779348493046], [50687871148058517828], [9706727701172965310], [40711611452505920928], [-101839017149198776942], [99469218202067967392], [-16714488333700223172], [97823129623411067442], [31325873499491654810], [74212165020899101086], [-120899238238582338664], [-58549986735740473356], [-52642817901346431024], [-155160155573702475904], [-232475556525465300516], [103666730501112407876], [-260380413979412009112], [160376526209476425438], [124872063406119930762], [-204743574654749398324], [-591289129577369768122], [223972160006260885796], [-523942543415120660514], [-119268587491329012300], [658606465904927661594], [-596008071275814376660], [-782829843366864084094], [411165951310029459708], [-62254433398630810158], [1185806505215389002984], [846669631881393208298], [47422604444595466184], [-1170064776622947135634], [294503638592371200282], [1721573885208587450876], [-1588184913232713310768], [-1199842894023986869326], [-1827921521502380075452], [-713338166525046698376], [-2118869078388696362178], [-14777194185313523388], [81485734688871326558], [2437801525455093159650], [-799743107573575666362], [-1996065673490202187572], [1999704473504838042068], [1555560146663804026206], [2512594769672994076286], [1186873343363490848352], [1854363433835659061936], [-2504029246715429741338], [-4990892610968808551980], [888432832584180890568], [-1583717032874445604408], [-3792608524597943464498], [-1820129419412754212358], [372176441051044183298], [4883322929390808241014], [7746167626407777660596], [3934936548295709085486], [-8177510066059231230006], [9025216975475090698700], [-755316352541653978554], [1968076270316806611056], [-10656165956949679894164], [4827920413135179088358], [-5328104493558220793064], [13670578362614069925854], [-323695087389190460934], [-10187260734089411772580], [-5779684582939042596576], [9300658534179115991462], [19706843545931254197330], [23604810954243899826644], [10220085315658387543608], [-18726211032747259217716], [12939057707737904531568], [-17563343152792164142768], [-30437521940148156681678], [2832425361223397106074], [18604621391756693537790], [-456986386582383190716], [11488958105235854560218], [15525893212857683704880], [-14885426567594439149652], [-28745056685824606695294], [45735037023476844869976], [10596593066366443460408], [3014391913943231305262]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 268435468, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '12.16.a.a', 'level': 12, 'maxp': 997, 'weight': 16}
• mf_newspaces •

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

  
  {'ALdims': [0, 0, 1, 2], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [2, 2, 1, 1], 'ALdims_old': [7, 6, 6, 5], 'Nk2': 3072, 'analytic_conductor': 17.123220611990448, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [12, 1, [7, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 27, 'dim': 3, 'eis_dim': 6, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 268435468, 'hecke_orbit_dims': [1, 2], 'label': '12.16.a', 'level': 12, '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, 3], 'level_radical': 6, 'mf_dim': 33, 'mf_new_dim': 3, 'num_forms': 2, 'plus_dim': 2, 'prim_orbit_index': 1, 'relative_dim': 3, 'sturm_bound': 32, 'trace_bound': 1, 'trace_display': [0, 2187, 115362, 3709392], 'traces': [3, 0, 2187, 0, 115362, 0, 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• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 8329
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '12.16.a.a', 'source_level': 12, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '12.16.a.a', 'target_level': 12, 'twist_class_label': '12.16.a.a', 'twist_class_level': 12, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 16}
  • id: 8330
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '12.16.a.a', 'source_level': 12, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '36.16.a.a', 'target_level': 36, 'twist_class_label': '12.16.a.a', 'twist_class_level': 12, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 16}
  • id: 8331
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '12.16.a.a', 'source_level': 12, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '48.16.a.f', 'target_level': 48, 'twist_class_label': '12.16.a.a', 'twist_class_level': 12, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 16}
  • id: 8332
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '12.16.a.a', 'source_level': 12, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '144.16.a.g', 'target_level': 144, 'twist_class_label': '12.16.a.a', 'twist_class_level': 12, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 16}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 52975
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 2}
  • id: 52976
    {'charpoly_factorization': [[[2187, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 3}
  • id: 52977
    {'charpoly_factorization': [[[-45702, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 5}
  • id: 52978
    {'charpoly_factorization': [[[-1217888, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 7}
  • id: 52979
    {'charpoly_factorization': [[[26895924, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 11}
  • id: 52980
    {'charpoly_factorization': [[[162581770, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 13}
  • id: 52981
    {'charpoly_factorization': [[[743272542, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 17}
  • id: 52982
    {'charpoly_factorization': [[[4003014700, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 19}
  • id: 52983
    {'charpoly_factorization': [[[30097540728, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 23}
  • id: 52984
    {'charpoly_factorization': [[[-19021888926, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 29}
  • id: 52985
    {'charpoly_factorization': [[[4621552936, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 31}
  • id: 52986
    {'charpoly_factorization': [[[-649297928654, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 37}
  • id: 52987
    {'charpoly_factorization': [[[-790230862890, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 41}
  • id: 52988
    {'charpoly_factorization': [[[-1388728387532, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 43}
  • id: 52989
    {'charpoly_factorization': [[[3933841180608, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 47}
  • id: 52990
    {'charpoly_factorization': [[[13472208095706, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 53}
  • id: 52991
    {'charpoly_factorization': [[[24672598493364, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 59}
  • id: 52992
    {'charpoly_factorization': [[[-23630686395542, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 61}
  • id: 52993
    {'charpoly_factorization': [[[-32385083278292, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 67}
  • id: 52994
    {'charpoly_factorization': [[[74451150070920, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 71}
  • id: 52995
    {'charpoly_factorization': [[[-176524276453946, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 73}
  • id: 52996
    {'charpoly_factorization': [[[137959485182488, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 79}
  • id: 52997
    {'charpoly_factorization': [[[458794939458348, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 83}
  • id: 52998
    {'charpoly_factorization': [[[32239404369270, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 89}
  • id: 52999
    {'charpoly_factorization': [[[-478308097627586, 1], 1]], 'hecke_orbit_code': 268435468, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 1, 'label': '12.16.a.a', 'level': 12, 'portrait': 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', 'weight': 16}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 3895284
    {'hecke_orbit_code': 268435468, 'n': 1, 'trace_an': 1}
  • id: 3895285
    {'hecke_orbit_code': 268435468, 'n': 2, 'trace_an': 0}
  • id: 3895286
    {'hecke_orbit_code': 268435468, 'n': 3, 'trace_an': -2187}
  • id: 3895287
    {'hecke_orbit_code': 268435468, 'n': 4, 'trace_an': 0}
  • id: 3895288
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  • id: 3895483
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  • id: 3895484
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  • id: 3895485
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  • id: 3895486
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  • id: 3895487
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  • id: 3895488
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  • id: 3895489
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  • id: 3895490
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  • id: 3895491
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  • id: 3895492
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  • id: 3895493
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  • id: 3895494
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  • id: 3895495
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  • id: 3895496
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  • id: 3895497
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  • id: 3895498
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  • id: 3895499
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  • id: 3895500
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  • id: 3895501
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  • id: 3895502
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  • id: 3895503
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  • id: 3895504
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  • id: 3895505
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  • id: 3895506
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  • id: 3895507
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  • id: 3895508
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  • id: 3895509
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  • id: 3895510
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  • id: 3895511
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  • id: 3895512
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  • id: 3895513
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  • id: 3895514
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  • id: 3895515
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  • id: 3895516
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  • id: 3895517
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  • id: 3895518
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  • id: 3895519
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  • id: 3895520
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  • id: 3895521
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  • id: 3895522
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  • id: 3895523
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  • id: 3895524
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  • id: 3895525
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  • id: 3895526
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  • id: 3895527
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  • id: 3895528
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  • id: 3895529
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  • id: 3895530
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  • id: 3895531
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  • id: 3895532
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  • id: 3895533
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  • id: 3895534
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  • id: 3895535
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  • id: 3895536
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  • id: 3895537
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  • id: 3895538
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  • id: 3895539
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  • id: 3895540
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  • id: 3895541
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