Embedded newform data - 1840.2.m.c.1839.4

Formats: - HTML - YAML - JSON - 2025-12-17T01:29:12.200440

• 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': 7360, 'analytic_conductor': 14.692473971915591, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 460, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 13, 'char_orbit_label': 'm', 'char_order': 2, 'char_parity': 1, 'char_values': [1840, 2, [1151, 1381, 737, 1201], [1, 2, 1, 1]], 'cm_discs': [-20], 'conrey_index': 1839, 'dim': 4, 'field_disc': 6400, 'field_disc_factorization': [[2, 8], [5, 2]], 'field_poly': [9, 0, -4, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [-10, 0, 1]], [7, [18, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9008023922018096, 'hecke_ring_generator_nbound': 23, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 20, 4, -1, 2, -20], [1, 1, 23, 2, -1, 2, 0], [1, 1, 92, 2, 1, 2, 0], [1, 1, 4, 2, -1, 2, 0], [1, 1, 5, 2, 1, 2, 0], [1, 1, 115, 3, -1, 2, 0], [1, 1, 460, 7, 1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '1840.2.m.c', 'level': 1840, '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, 5, 23], 'level_radical': 230, 'minimal_twist': '1840.2.m.c', 'nf_label': '4.0.6400.1', 'prim_orbit_index': 7, 'qexp_display': 'q+(2\\beta _{1}-\\beta _{2})q^{3}+\\beta _{3}q^{5}+3\\beta _{2}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.1.d2', 'self_twist_discs': [-20], 'self_twist_type': 1, 'space_label': '1840.2.m', 'trace_display': [0, 0, 0, 0], 'trace_hash': 2025510287847500003, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.025', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.390', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.959', 'prec': 17}, {'__RealLiteral__': 0, 'data': '154.892', 'prec': 24}, {'__RealLiteral__': 0, 'data': '122.434', 'prec': 24}, {'__RealLiteral__': 0, 'data': '7942.669', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.885', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 220, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 720, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -148, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -280, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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• 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], [1.8257418583505538, 0.0], [0.0, 0.0], [0.0, 1.0], [0.0, 0.0], [0.0, 1.6035674514745464], [0.0, 0.0], [2.3333333333333335, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.8257418583505538], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 2.9277002188455996], [0.0, 0.0], [-0.9890707100936805, -0.14744195615489714], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [2.4343224778007384, 0.0], [0.0, 0.0], [-1.1141720290623112, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.6035674514745464, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.8740851426632728, 0.0], [0.0, 0.0], [0.0, -1.9409899176618914], [0.0, 0.0], [0.0, 2.3333333333333335], [0.0, 0.0], [1.3837968120433277, 0.0], [0.0, 0.0], [-1.5714285714285714, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 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0.1604470841992761, -0.46711236408436907, -0.40170713236236283, -0.25, 0.0, 0.0, 0.0033888332115145046, -0.4785620408682529, 0.0, -0.42693703507079095, -0.24052105642594138, 0.0, 0.0, -0.4633775584281155, -0.25, -0.12695425796363213, -0.45701510093786957, -0.25, 0.03100309237222587, -0.25, -0.25, -0.2716540374881832, 0.11008513252829843, 0.0, 0.0, -0.36278289098660643, -0.25, 0.0, -0.25, -0.43880741551570657, -0.2366855996407403, 0.0, 0.0, -0.009872907276832944, -0.2569735979031229, -0.3143883252408305, 0.0, -0.3129322932714187, -0.009273350810478689, -0.2892228040506044, 0.0724885020943218, 0.0, -0.17915988540870673, -0.25, -0.42094137103170537, -0.2973940033934055, -0.2700376754769129, -0.41065126152370135, -0.25, 0.0, -0.3948947351738324, 0.0, 0.0, -0.25, -0.25, -0.27491547738177313, 0.12703929529644997, 0.14456923446451622, 0.027809373576983765, -0.25, 0.0, 0.0, 0.08805187937250263, 0.0, -0.06169845523518179, -0.055363691941501626, 0.0, 0.0, -0.008532965156167742, -0.25, -0.25, 0.09286581459595061, -0.25, -0.4641198314808619, -0.3077562589261306, 0.15760722070371497, 0.0, 0.0, 0.2460465769753502, -0.2562403312404098, 0.0, 0.0, -0.38180323376702946, 0.15135243400770226, -0.22259446246041062, -0.25, 0.0, -0.25, -0.36327006437497694, 0.1655234340008483, 0.1675494621891161, 0.0, -0.2924597441480093, 0.20734666686040557, -0.25, -0.25, 0.0, -0.44280788339552607, -0.3937881570114308, -0.2997217030159927, 0.14505061829161983, -0.25, -0.002635916532663726, -0.25, 0.01837107479279035, 0.050332280633757144, -0.09079565054001387, 0.0, -0.25, -0.25, 0.0, -0.45859340330684784, 0.09539602431145781, 0.03375466919630747, 0.0, -0.25, 0.0, 0.2061878622887042, -0.25, 0.0, 0.0, -0.25564653877023774, -0.25, -0.25, -0.25], 'char_orbit_index': 13, 'conrey_index': 1839, 'dual_conrey_index': 1839, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 0.7071067811865476, 'embedding_root_real': 1.5811388300841898, 'hecke_orbit': 3, 'hecke_orbit_code': 9008023922018096, 'label': '1840.2.m.c.1839.4', 'level': 1840, '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': 7360, 'analytic_conductor': 14.692473971915591, 'char_conductor': 460, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 13, 'char_orbit_label': 'm', 'char_order': 2, 'char_parity': 1, 'char_values': [1840, 2, [1151, 1381, 737, 1201], [1, 2, 1, 1]], 'conrey_index': 1839, 'cusp_dim': 276, 'dim': 72, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 824667277104, 'hecke_orbit_dims': [4, 4, 4, 4, 8, 8, 40], 'label': '1840.2.m', 'level': 1840, '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, 5, 23], 'level_radical': 230, 'mf_dim': 300, 'mf_new_dim': 72, 'num_forms': 7, 'prim_orbit_index': 7, 'relative_dim': 72, 'sturm_bound': 576, 'trace_bound': 9, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, -72, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 72, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, -144, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, -24, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, -48, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 156, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 408, 0, 0, 0, 0, 0, 0, 0, -576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 312, 0, 0, 0, 456, 0, 0, 0, 648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 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: 41294867
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1839, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008023922018096, 'source_is_minimal': True, 'source_label': '1840.2.m.c.1839.4', 'source_level': 1840, 'target_conrey_index': 1839, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9008023922018096, 'target_is_minimal': True, 'target_label': '1840.2.m.c.1839.4', 'target_level': 1840, 'twist_class_label': '1840.2.m.c.1839.1', 'twist_class_level': 1840, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 41294868
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1839, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008023922018096, 'source_is_minimal': True, 'source_label': '1840.2.m.c.1839.4', 'source_level': 1840, 'target_conrey_index': 1839, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9008023922018096, 'target_is_minimal': True, 'target_label': '1840.2.m.c.1839.2', 'target_level': 1840, 'twist_class_label': '1840.2.m.c.1839.1', 'twist_class_level': 1840, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41294869
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1839, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008023922018096, 'source_is_minimal': True, 'source_label': '1840.2.m.c.1839.4', 'source_level': 1840, 'target_conrey_index': 1839, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9008023922018096, 'target_is_minimal': True, 'target_label': '1840.2.m.c.1839.2', 'target_level': 1840, 'twist_class_label': '1840.2.m.c.1839.1', 'twist_class_level': 1840, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 41294870
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1839, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008023922018096, 'source_is_minimal': True, 'source_label': '1840.2.m.c.1839.4', 'source_level': 1840, 'target_conrey_index': 1839, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9008023922018096, 'target_is_minimal': True, 'target_label': '1840.2.m.c.1839.4', 'target_level': 1840, 'twist_class_label': '1840.2.m.c.1839.1', 'twist_class_level': 1840, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 41294871
    {'conductor': 23, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1839, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008023922018096, 'source_is_minimal': True, 'source_label': '1840.2.m.c.1839.4', 'source_level': 1840, 'target_conrey_index': 1839, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9008023922018096, 'target_is_minimal': True, 'target_label': '1840.2.m.c.1839.3', 'target_level': 1840, 'twist_class_label': '1840.2.m.c.1839.1', 'twist_class_level': 1840, 'twisting_char_label': '23.22', 'twisting_conrey_index': 22, 'weight': 2}
  • id: 41294872
    {'conductor': 92, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1839, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008023922018096, 'source_is_minimal': True, 'source_label': '1840.2.m.c.1839.4', 'source_level': 1840, 'target_conrey_index': 1839, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008023922018096, 'target_is_minimal': True, 'target_label': '1840.2.m.c.1839.1', 'target_level': 1840, 'twist_class_label': '1840.2.m.c.1839.1', 'twist_class_level': 1840, 'twisting_char_label': '92.91', 'twisting_conrey_index': 91, 'weight': 2}
  • id: 41294873
    {'conductor': 115, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1839, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008023922018096, 'source_is_minimal': True, 'source_label': '1840.2.m.c.1839.4', 'source_level': 1840, 'target_conrey_index': 1839, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008023922018096, 'target_is_minimal': True, 'target_label': '1840.2.m.c.1839.1', 'target_level': 1840, 'twist_class_label': '1840.2.m.c.1839.1', 'twist_class_level': 1840, 'twisting_char_label': '115.114', 'twisting_conrey_index': 114, 'weight': 2}
  • id: 41294874
    {'conductor': 460, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1839, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008023922018096, 'source_is_minimal': True, 'source_label': '1840.2.m.c.1839.4', 'source_level': 1840, 'target_conrey_index': 1839, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9008023922018096, 'target_is_minimal': True, 'target_label': '1840.2.m.c.1839.3', 'target_level': 1840, 'twist_class_label': '1840.2.m.c.1839.1', 'twist_class_level': 1840, 'twisting_char_label': '460.459', 'twisting_conrey_index': 459, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2245850
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9008023922018096, 'p': 2}
  • id: 2245851
    {'charpoly_factorization': [[[-10, 0, 1], 2]], 'hecke_orbit_code': 9008023922018096, 'p': 3}
  • id: 2245852
    {'charpoly_factorization': [[[5, 0, 1], 2]], 'hecke_orbit_code': 9008023922018096, 'p': 5}
  • id: 2245853
    {'charpoly_factorization': [[[18, 0, 1], 2]], 'hecke_orbit_code': 9008023922018096, 'p': 7}
  • id: 2245854
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9008023922018096, 'p': 11}
  • id: 2245855
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9008023922018096, 'p': 13}
  • id: 2245856
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9008023922018096, 'p': 17}
  • id: 2245857
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9008023922018096, 'p': 19}
  • id: 2245858
    {'charpoly_factorization': [[[529, 0, -44, 0, 1], 1]], 'hecke_orbit_code': 9008023922018096, 'p': 23}
  • id: 2245859
    {'charpoly_factorization': [[[6, 1], 4]], 'hecke_orbit_code': 9008023922018096, 'p': 29}
  • id: 2245860
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9008023922018096, 'p': 31}
  • id: 2245861
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9008023922018096, 'p': 37}
  • id: 2245862
    {'charpoly_factorization': [[[-12, 1], 4]], 'hecke_orbit_code': 9008023922018096, 'p': 41}
  • id: 2245863
    {'charpoly_factorization': [[[162, 0, 1], 2]], 'hecke_orbit_code': 9008023922018096, 'p': 43}
  • id: 2245864
    {'charpoly_factorization': [[[-90, 0, 1], 2]], 'hecke_orbit_code': 9008023922018096, 'p': 47}
  • id: 2245865
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9008023922018096, 'p': 53}
  • id: 2245866
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9008023922018096, 'p': 59}
  • id: 2245867
    {'charpoly_factorization': [[[180, 0, 1], 2]], 'hecke_orbit_code': 9008023922018096, 'p': 61}
  • id: 2245868
    {'charpoly_factorization': [[[18, 0, 1], 2]], 'hecke_orbit_code': 9008023922018096, 'p': 67}
  • id: 2245869
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9008023922018096, 'p': 71}
  • id: 2245870
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9008023922018096, 'p': 73}
  • id: 2245871
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9008023922018096, 'p': 79}
  • id: 2245872
    {'charpoly_factorization': [[[242, 0, 1], 2]], 'hecke_orbit_code': 9008023922018096, 'p': 83}
  • id: 2245873
    {'charpoly_factorization': [[[320, 0, 1], 2]], 'hecke_orbit_code': 9008023922018096, 'p': 89}
  • id: 2245874
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9008023922018096, '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': 13, 'hecke_orbit': 3, 'label': '1840.2.m.c', 'level': 1840, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 31542541
    {'hecke_orbit_code': 9008023922018096, 'n': 1, 'trace_an': 4}
  • id: 31542542
    {'hecke_orbit_code': 9008023922018096, 'n': 2, 'trace_an': 0}
  • id: 31542543
    {'hecke_orbit_code': 9008023922018096, 'n': 3, 'trace_an': 0}
  • id: 31542544
    {'hecke_orbit_code': 9008023922018096, 'n': 4, 'trace_an': 0}
  • id: 31542545
    {'hecke_orbit_code': 9008023922018096, 'n': 5, 'trace_an': 0}
  • id: 31542546
    {'hecke_orbit_code': 9008023922018096, 'n': 6, 'trace_an': 0}
  • id: 31542547
    {'hecke_orbit_code': 9008023922018096, 'n': 7, 'trace_an': 0}
  • id: 31542548
    {'hecke_orbit_code': 9008023922018096, 'n': 8, 'trace_an': 0}
  • id: 31542549
    {'hecke_orbit_code': 9008023922018096, 'n': 9, 'trace_an': 28}
  • id: 31542550
    {'hecke_orbit_code': 9008023922018096, 'n': 10, 'trace_an': 0}
  • id: 31542551
    {'hecke_orbit_code': 9008023922018096, 'n': 11, 'trace_an': 0}
  • id: 31542552
    {'hecke_orbit_code': 9008023922018096, 'n': 12, 'trace_an': 0}
  • id: 31542553
    {'hecke_orbit_code': 9008023922018096, 'n': 13, 'trace_an': 0}
  • id: 31542554
    {'hecke_orbit_code': 9008023922018096, 'n': 14, 'trace_an': 0}
  • id: 31542555
    {'hecke_orbit_code': 9008023922018096, 'n': 15, 'trace_an': 0}
  • id: 31542556
    {'hecke_orbit_code': 9008023922018096, 'n': 16, 'trace_an': 0}
  • id: 31542557
    {'hecke_orbit_code': 9008023922018096, 'n': 17, 'trace_an': 0}
  • id: 31542558
    {'hecke_orbit_code': 9008023922018096, 'n': 18, 'trace_an': 0}
  • id: 31542559
    {'hecke_orbit_code': 9008023922018096, 'n': 19, 'trace_an': 0}
  • id: 31542560
    {'hecke_orbit_code': 9008023922018096, 'n': 20, 'trace_an': 0}
  • id: 31542561
    {'hecke_orbit_code': 9008023922018096, 'n': 21, 'trace_an': 0}
  • id: 31542562
    {'hecke_orbit_code': 9008023922018096, 'n': 22, 'trace_an': 0}
  • id: 31542563
    {'hecke_orbit_code': 9008023922018096, 'n': 23, 'trace_an': 0}
  • id: 31542564
    {'hecke_orbit_code': 9008023922018096, 'n': 24, 'trace_an': 0}
  • id: 31542565
    {'hecke_orbit_code': 9008023922018096, 'n': 25, 'trace_an': -20}
  • id: 31542566
    {'hecke_orbit_code': 9008023922018096, 'n': 26, 'trace_an': 0}
  • id: 31542567
    {'hecke_orbit_code': 9008023922018096, 'n': 27, 'trace_an': 0}
  • id: 31542568
    {'hecke_orbit_code': 9008023922018096, 'n': 28, 'trace_an': 0}
  • id: 31542569
    {'hecke_orbit_code': 9008023922018096, 'n': 29, 'trace_an': -24}
  • id: 31542570
    {'hecke_orbit_code': 9008023922018096, 'n': 30, 'trace_an': 0}
  • id: 31542571
    {'hecke_orbit_code': 9008023922018096, 'n': 31, 'trace_an': 0}
  • id: 31542572
    {'hecke_orbit_code': 9008023922018096, 'n': 32, 'trace_an': 0}
  • id: 31542573
    {'hecke_orbit_code': 9008023922018096, 'n': 33, 'trace_an': 0}
  • id: 31542574
    {'hecke_orbit_code': 9008023922018096, 'n': 34, 'trace_an': 0}
  • id: 31542575
    {'hecke_orbit_code': 9008023922018096, 'n': 35, 'trace_an': 0}
  • id: 31542576
    {'hecke_orbit_code': 9008023922018096, 'n': 36, 'trace_an': 0}
  • id: 31542577
    {'hecke_orbit_code': 9008023922018096, 'n': 37, 'trace_an': 0}
  • id: 31542578
    {'hecke_orbit_code': 9008023922018096, 'n': 38, 'trace_an': 0}
  • id: 31542579
    {'hecke_orbit_code': 9008023922018096, 'n': 39, 'trace_an': 0}
  • id: 31542580
    {'hecke_orbit_code': 9008023922018096, 'n': 40, 'trace_an': 0}
  • id: 31542581
    {'hecke_orbit_code': 9008023922018096, 'n': 41, 'trace_an': 48}
  • id: 31542582
    {'hecke_orbit_code': 9008023922018096, 'n': 42, 'trace_an': 0}
  • id: 31542583
    {'hecke_orbit_code': 9008023922018096, 'n': 43, 'trace_an': 0}
  • id: 31542584
    {'hecke_orbit_code': 9008023922018096, 'n': 44, 'trace_an': 0}
  • id: 31542585
    {'hecke_orbit_code': 9008023922018096, 'n': 45, 'trace_an': 0}
  • id: 31542586
    {'hecke_orbit_code': 9008023922018096, 'n': 46, 'trace_an': 0}
  • id: 31542587
    {'hecke_orbit_code': 9008023922018096, 'n': 47, 'trace_an': 0}
  • id: 31542588
    {'hecke_orbit_code': 9008023922018096, 'n': 48, 'trace_an': 0}
  • id: 31542589
    {'hecke_orbit_code': 9008023922018096, 'n': 49, 'trace_an': -44}
  • id: 31542590
    {'hecke_orbit_code': 9008023922018096, 'n': 50, 'trace_an': 0}
  • id: 31542591
    {'hecke_orbit_code': 9008023922018096, 'n': 51, 'trace_an': 0}
  • id: 31542592
    {'hecke_orbit_code': 9008023922018096, 'n': 52, 'trace_an': 0}
  • id: 31542593
    {'hecke_orbit_code': 9008023922018096, 'n': 53, 'trace_an': 0}
  • id: 31542594
    {'hecke_orbit_code': 9008023922018096, 'n': 54, 'trace_an': 0}
  • id: 31542595
    {'hecke_orbit_code': 9008023922018096, 'n': 55, 'trace_an': 0}
  • id: 31542596
    {'hecke_orbit_code': 9008023922018096, 'n': 56, 'trace_an': 0}
  • id: 31542597
    {'hecke_orbit_code': 9008023922018096, 'n': 57, 'trace_an': 0}
  • id: 31542598
    {'hecke_orbit_code': 9008023922018096, 'n': 58, 'trace_an': 0}
  • id: 31542599
    {'hecke_orbit_code': 9008023922018096, 'n': 59, 'trace_an': 0}
  • id: 31542600
    {'hecke_orbit_code': 9008023922018096, 'n': 60, 'trace_an': 0}
  • id: 31542601
    {'hecke_orbit_code': 9008023922018096, 'n': 61, 'trace_an': 0}
  • id: 31542602
    {'hecke_orbit_code': 9008023922018096, 'n': 62, 'trace_an': 0}
  • id: 31542603
    {'hecke_orbit_code': 9008023922018096, 'n': 63, 'trace_an': 0}
  • id: 31542604
    {'hecke_orbit_code': 9008023922018096, 'n': 64, 'trace_an': 0}
  • id: 31542605
    {'hecke_orbit_code': 9008023922018096, 'n': 65, 'trace_an': 0}
  • id: 31542606
    {'hecke_orbit_code': 9008023922018096, 'n': 66, 'trace_an': 0}
  • id: 31542607
    {'hecke_orbit_code': 9008023922018096, 'n': 67, 'trace_an': 0}
  • id: 31542608
    {'hecke_orbit_code': 9008023922018096, 'n': 68, 'trace_an': 0}
  • id: 31542609
    {'hecke_orbit_code': 9008023922018096, 'n': 69, 'trace_an': -60}
  • id: 31542610
    {'hecke_orbit_code': 9008023922018096, 'n': 70, 'trace_an': 0}
  • id: 31542611
    {'hecke_orbit_code': 9008023922018096, 'n': 71, 'trace_an': 0}
  • id: 31542612
    {'hecke_orbit_code': 9008023922018096, 'n': 72, 'trace_an': 0}
  • id: 31542613
    {'hecke_orbit_code': 9008023922018096, 'n': 73, 'trace_an': 0}
  • id: 31542614
    {'hecke_orbit_code': 9008023922018096, 'n': 74, 'trace_an': 0}
  • id: 31542615
    {'hecke_orbit_code': 9008023922018096, 'n': 75, 'trace_an': 0}
  • id: 31542616
    {'hecke_orbit_code': 9008023922018096, 'n': 76, 'trace_an': 0}
  • id: 31542617
    {'hecke_orbit_code': 9008023922018096, 'n': 77, 'trace_an': 0}
  • id: 31542618
    {'hecke_orbit_code': 9008023922018096, 'n': 78, 'trace_an': 0}
  • id: 31542619
    {'hecke_orbit_code': 9008023922018096, 'n': 79, 'trace_an': 0}
  • id: 31542620
    {'hecke_orbit_code': 9008023922018096, 'n': 80, 'trace_an': 0}
  • id: 31542621
    {'hecke_orbit_code': 9008023922018096, 'n': 81, 'trace_an': 76}
  • id: 31542622
    {'hecke_orbit_code': 9008023922018096, 'n': 82, 'trace_an': 0}
  • id: 31542623
    {'hecke_orbit_code': 9008023922018096, 'n': 83, 'trace_an': 0}
  • id: 31542624
    {'hecke_orbit_code': 9008023922018096, 'n': 84, 'trace_an': 0}
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  • id: 31542712
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  • id: 31542713
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  • id: 31542714
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  • id: 31542715
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  • id: 31542716
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  • id: 31542717
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  • id: 31542718
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  • id: 31542719
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  • id: 31542720
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  • id: 31542721
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  • id: 31542722
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  • id: 31542723
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  • id: 31542724
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  • id: 31542725
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  • id: 31542726
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  • id: 31542727
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  • id: 31542728
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  • id: 31542729
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  • id: 31542730
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  • id: 31542731
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  • id: 31542732
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  • id: 31542733
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  • id: 31542734
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  • id: 31542735
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  • id: 31542736
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  • id: 31542737
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  • id: 31542738
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  • id: 31542739
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  • id: 31542740
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  • id: 31542741
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  • id: 31542742
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  • id: 31542743
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  • id: 31542744
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  • id: 31542745
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  • id: 31542746
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  • id: 31542748
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  • id: 31542750
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  • id: 31542752
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  • id: 31542753
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  • id: 31542754
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  • id: 31542755
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  • id: 31542756
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  • id: 31542757
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  • id: 31542758
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  • id: 31542759
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  • id: 31542760
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  • id: 31542761
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  • id: 31542762
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  • id: 31542763
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  • id: 31542764
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  • id: 31542765
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  • id: 31542768
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  • id: 31542769
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  • id: 31542770
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  • id: 31542771
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  • id: 31542772
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  • id: 31542773
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  • id: 31542776
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  • id: 31542780
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  • id: 31542788
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  • id: 31542789
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  • id: 31542791
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