Embedded newform data - 6975.2.a.z.1.1

Formats: - HTML - YAML - JSON - 2026-03-10T19:23:44.729547

• 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': 27900, 'analytic_conductor': 55.69565540984307, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1], [31, -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': [6975, 1, [776, 5302, 1801], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 148, 'field_disc_factorization': [[2, 2], [37, 1]], 'field_poly': [1, -3, -1, 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': [[2, [-2, -2, 2, 1]], [7, [4, 16, 8, 1]], [11, [1, -1, -3, 1]], [13, [10, -16, 4, 1]], [17, [-59, -7, 7, 1]], [29, [13, -7, -9, 1]]], 'hecke_orbit': 26, 'hecke_orbit_code': 112589990717823807, 'hecke_ring_generator_nbound': 2, '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': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '6975.2.a.z', 'level': 6975, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 31], 'level_radical': 465, 'minimal_twist': '6975.2.a.z', 'nf_label': '3.3.148.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1+\\beta _{1})q^{2}+(1-\\beta _{1}+\\beta _{2})q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '6975.2.a', 'trace_display': [-2, 0, 0, -8], 'trace_hash': 671573142176847062, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.005', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '24.450', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '295.781', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.013', 'prec': 17}, 'traces': [3, -2, 0, 2, 0, 0, -8, -6, 0, 0, 3, 0, -4, 10, 0, 4, -7, 0, 9, 0, 0, 0, -9, 0, 0, 18, 0, -4, 9, 0, 3, -4, 0, -6, 0, 0, -8, -6, 0, 0, 2, 0, -4, -8, 0, 4, 20, 0, 11, 0, 0, -30, 25, 0, 0, 4, 0, 10, 2, 0, 2, -2, 0, 4, 0, 0, -15, 24, 0, 0, -12, 0, -2, -6, 0, 6, -14, 0, 12, 0, 0, 0, -13, 0, 0, -16, 0, 10, -15, 0, 14, 4, 0, 0, 0, 0, -7, -22, 0, 0, 24, 0, -9, 32, 0, -46, 34, 0, 14, 0, 0, -20, 16, 0, 0, 0, 0, -16, 26, 0, -22, -28, 0, 2, 0, 0, 0, 32, 0, 0, 4, 0, -24, 32, 0, -22, -19, 0, -4, 0, 0, -36, 8, 0, 0, 16, 0, 2, -42, 0, -6, -18, 0, 6, 0, 0, -3, 26, 0, 0, 30, 0, -43, -30, 0, -24, -12, 0, 9, 0, 0, -8, -20, 0, 0, 0, 0, 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46, 154, 0, 48, 134, 0, 208, 0, 0, 6, -7, 0, 0, -16, 0, 0, -49, 0, 14, -70, 0, 26, 0, 0, -54, -104, 0, 0, -126, 0, -32, -76, 0, -22, -60, 0, -72, 0, 0, -62, 48, 0, 0, 164, 0, 8, 6, 0, 154, 4, 0, 52, 0, 0, -114, 12, 0, 0, -106, 0, 4, -92, 0, 100, -40, 0, -18, 0, 0, -164, 201, 0, 0, -232, 0, -232, 125, 0, -12, -54, 0, 172, 0, 0, 103, 60, 0, 0, -138, 0, 48, -44, 0, 92, -92, 0, -180, 0, 0, -148, 150, 0, 0, -106, 0, 36, 139, 0, -76, -8, 0, 0, 0, 0, -24, 34, 0, 0, -4, 0, -112, 48, 0, 18, 26, 0, 92, 0, 0, -154, 100, 0, 0, -28, 0, 244, -44, 0, -8, -12, 0, -88, 0, 0, -32, 48, 0, 0, 192, 0, 150, 22, 0, -98, -146, 0, -10, 0, 0, -10, -88, 0, 0, -90, 0, 56, -6, 0, -26, 172, 0, -76, 0, 0, -68, 60, 0, 0, 50, 0, -9, 66, 0, -4, -203, 0, 66, 0, 0, -36, -176, 0, 0, 120, 0, 84, -86, 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], [-1.754469317864901, 0.0], [0.0, 0.0], [2.078162587329331, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.060592286882879, 0.0], [-1.8916031791391479, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.20355961655050556, 0.0], [0.0, 0.0], [-1.8409166786558906, 0.0], [1.8607766261001801, 0.0], [0.0, 0.0], [1.2405971520460077, 0.0], [0.6867289616916235, 0.0], [0.0, 0.0], [0.6882472016116853, 0.0], [0.0, 0.0], [0.0, 0.0], [0.3571391015942063, 0.0], [-0.27625431022610253, 0.0], [0.0, 0.0], [0.0, 0.0], [3.2298318294475195, 0.0], [0.0, 0.0], [-2.204083211010056, 0.0], [0.1683660317426195, 0.0], [0.0, 0.0], [0.1796053020267749, 0.0], [-0.28498645995615035, 0.0], [0.0, 0.0], [-1.2048448929771745, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.11717410614543113, 0.0], [-1.2075085983340805, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.658948510401883, 0.0], [0.0, 0.0], [-0.11830019649038116, 0.0], [-0.4230299794063651, 0.0], [0.0, 0.0], [0.48467971121962883, 0.0], [0.44308115984114393, 0.0], [0.0, 0.0], 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-0.4521182075152339, -0.12365030598819497, -0.3714496429448593, -0.29664631703624506, -0.11263228730253647, -0.3457657642962224, -0.22121149989638272, -0.29404655349863634, -0.16206083207976185, -0.28871422045757567, -0.18148295729810784, -0.22194693618583358, -0.07911720274311025, -0.34937831386826734, -0.038135295658939486, -0.23286558227580093, -0.38203276823222443, -0.2935957222030739, -0.24938257486843043, -0.23676452803541403, -0.09594917638411041, -0.37030696650204664, -0.3689609467009746, -0.3666408885588489, -0.23964228632467974, -0.10327018905133385, -0.28851782495799555, -0.23387303457379482, -0.2795039103264298, -0.3558998030502746, -0.29623640855515626, -0.32042125984930775, -0.18025899227999134, -0.22134216818504734, -0.3665920633937752, -0.23735310082558433, -0.0807443140787109, -0.3575742561827656, -0.20373002722944894, -0.18139062864742256, -0.23723552818347468, -0.24159888537363247, -0.3598271356834767, -0.23951413287953943, -0.23678662993005908, -0.11838330113832182, -0.0989312861088575, -0.2475922363304992, -0.3550735003788792, -0.3060001027614316, -0.2639202158855326, -0.1720491957257266, -0.16601391308561858, -0.37541003708775, -0.25142926792744824, -0.371408181691282, -0.23934918409974162, -0.3102436713915941, -0.3843399696227141, -0.05244070003111634, -0.16708982221181978, -0.2360624055308944, -0.14086227981544938, -0.24568432310813149, -0.29816285259612596, -0.1775019709252675, -0.17909830256693962, -0.18663776058459586, -0.3215640268245442, -0.27131554851823836, -0.2739800138834188, -0.24858566134767882, -0.17785744412658452, -0.30636074153808124, -0.1624924737365464, -0.1696169653625866, -0.1435470863601012, -0.1146978339330793, -0.2820035263239761, -0.21387314323924372, -0.17831274287249832, -0.2217193878145243, -0.30380394420274154, -0.24270561001020152, -0.3297606493922748, -0.309731777493082, -0.1187786759751924, -0.3307826058392793, -0.17067244564930772, -0.057990030929426756, -0.4181414080772484, -0.3215095318448737, -0.3057309399976127, -0.2870367689739025, -0.19428638016269592, -0.22468103549345741, -0.23735450672554195, -0.3319240205992468, -0.1942087406234253, -0.36692462869589115, -0.10970318650087202, -0.36390951435461477, -0.07913837895222342, -0.13050732246362592, -0.43260430267804295, -0.12525850441841296, -0.3054887299095698, -0.33254483692574266, -0.28244525313567836, -0.2960207930243629, -0.35786817231601664, -0.353235078231416, -0.21302064711276475, -0.24452160682554042, -0.29579331529357206, -0.3654307967034917, -0.13898081383184047, -0.17573685088740582, -0.2245827367020949, -0.25903545077820345, -0.20764780728447066, -0.17212086846362953, -0.11644439274175791, -0.3644399803835794, -0.4190791317332981, -0.4438684132591708, -0.21872990670258477, -0.17260292001016658, -0.13967077632540212, -0.25565129419116006, -0.2158243897868653, -0.3407015111052958, -0.23413667484775996, -0.3668954799837526, -0.14897989623540206, -0.22717686003276724, -0.18114195083021548, -0.2777319453392004, -0.30426966666227, -0.18386753159395375, -0.3083332860534549, -0.21714953417339175, -0.3383781483849031, -0.14549453640739288, -0.3418539521259097, -0.23375314911323591, -0.3513645403845368, -0.3078487330765089, -0.3919935263794914, -0.18397878540679088, -0.35869595361039597, -0.3630441684827304, -0.21411677944138469, -0.32497877437149414, -0.17643730468317137, -0.4051967670885902, -0.3420969833453023, -0.4101607640866318, -0.3759678120101736, -0.3389626917071521, -0.2395060916194722, -0.2059043026767256, -0.3108519344433803, -0.25121179050712783, -0.13236352310459618, -0.33536690839056127, -0.3649744053648079, -0.34021739279180846, -0.031627834693329845, -0.23103121182913186, -0.12087650451301582, -0.08971312356591989, -0.18382815231011326, -0.22124486498950732, -0.22473844586957895, -0.32377441670382195, -0.26507644747974124, -0.22769344769151495, -0.14998559166696804, -0.40290869763192966, -0.2083860585415317, -0.1256365012687099, -0.23658181821021387, -0.22968616528235794, -0.20931569522790933, -0.2823110059933227, -0.18267669740708925, -0.30303493901374, -0.2575684180906997, -0.3748425011408263, -0.21116514320851473, -0.26600298256938226, -0.3227224276975918, -0.16448023419969876, -0.28435430853447224, -0.20024638399181977, -0.2788906969188241, -0.21702375410516292, -0.10290079735850731, -0.1493120108693762, -0.1558063998785803, -0.22744028067532984, -0.3275055319585939, -0.32086054385376384, -0.4489494921586869, -0.16777613534753957, -0.42078325604990247, -0.08437845831473854, -0.10122613574348878, -0.3650981157783123, -0.2831471670993982, -0.2602378339632303, -0.2058340922321155, -0.30817432999651206, -0.2418002498258924, -0.24333984984663798, -0.3943269382089727, -0.26005402411221473, -0.13890159528359702, -0.23212136806464653, -0.3552987349684953, -0.12303236029014666, -0.28647567347642744, -0.30989552402043036, -0.16556322099258683, -0.13236746307116484, -0.35497789401903895, -0.24833538005063327, -0.3618746070975203, -0.22910494884683957, -0.20374714083424736, -0.3503072774040319, -0.3264035234744922, -0.24146931340814068, -0.3026954833514223, -0.2930862528108774, -0.24896955876297433, -0.2788758361645492, -0.28519877587011166, -0.22072525409262583, -0.2277219324125492, -0.2085296067916172, -0.21002043071686116, -0.2877451610801105, -0.22603018183025506, -0.06623444942121268, -0.33630395629267296, -0.21804056581747638, -0.15664846601132953, -0.09995280451049093, -0.17932369897876474, -0.16035528722518885, -0.08905987720191481, -0.3605369204162275, -0.23702595621423744, -0.25391130368852877, -0.131068102401286, -0.26568176405595006, -0.43673585065996257, -0.2989388623897629, -0.24512239178834738, -0.25535063081525405], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.4811943040920157, 'hecke_orbit': 26, 'hecke_orbit_code': 112589990717823807, 'label': '6975.2.a.z.1.1', 'level': 6975, '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

  
  {'ALdims': [20, 26, 30, 18, 35, 32, 35, 41], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [89, 100, 90, 96, 91, 76, 79, 79], 'Nk2': 27900, 'analytic_conductor': 55.69565540984307, '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': [6975, 1, [776, 5302, 1801], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 937, 'dim': 237, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11, 13, 17, 29], 'hecke_orbit_code': 33561407, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 8, 8, 8, 10, 11, 11, 16], 'label': '6975.2.a', 'level': 6975, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 31], 'level_radical': 465, 'mf_dim': 984, 'mf_new_dim': 237, 'num_forms': 63, 'plus_dim': 105, 'prim_orbit_index': 1, 'relative_dim': 237, 'sturm_bound': 1920, 'trace_bound': 17, 'trace_display': [0, 0, 0, 0], 'traces': [237, 0, 0, 238, 0, 0, 0, -3, 0, 0, 0, 0, 0, -7, 0, 248, -8, 0, 4, 0, 0, 6, 6, 0, 0, 36, 0, 9, 32, 0, -3, -6, 0, 16, 0, 0, -2, -7, 0, 0, 0, 0, 30, 42, 0, 26, -28, 0, 211, 0, 0, 6, 6, 0, 0, 6, 0, 10, -28, 0, 12, -4, 0, 317, 0, 0, 48, 18, 0, 0, 36, 0, 14, -20, 0, 9, 24, 0, -18, 0, 0, 11, -12, 0, 0, 20, 0, 28, 20, 0, -14, 8, 0, -40, 0, 0, -4, 7, 0, 0, 48, 0, 0, 68, 0, 62, 52, 0, 20, 0, 0, 21, -44, 0, 0, 88, 0, -5, 10, 0, 273, -36, 0, -6, 0, 0, 8, -40, 0, 0, 72, 0, -2, -24, 0, 20, 8, 0, 60, 0, 0, -49, -20, 0, 0, -60, 0, 108, 138, 0, -42, -30, 0, 82, 0, 0, -32, 100, 0, 0, -42, 0, 20, 29, 0, -54, 112, 0, 255, 0, 0, 46, -14, 0, 0, 102, 0, 42, -6, 0, 36, -78, 0, 42, 0, 0, -24, -4, 0, 0, 104, 0, 64, 33, 0, 303, -42, 0, 16, 0, 0, -79, 122, 0, 0, 63, 0, 24, -180, 0, 156, 18, 0, 57, 0, 0, 4, 111, 0, 0, 12, 0, 48, 169, 0, -107, -12, 0, 110, 0, 0, -92, 8, 0, 0, -97, 0, 158, 22, 0, 10, -132, 0, -234, 0, 0, -6, -15, 0, 0, 10, 0, 60, 142, 0, 134, -32, 0, 196, 0, 0, -84, -50, 0, 0, 251, 0, 212, -66, 0, 18, 116, 0, -8, 0, 0, 72, 90, 0, 0, -52, 0, 20, 203, 0, -144, 16, 0, 255, 0, 0, -116, 30, 0, 0, -226, 0, 56, 96, 0, -10, 68, 0, 57, 0, 0, 28, 182, 0, 0, -44, 0, 32, -13, 0, -182, 40, 0, 16, 0, 0, -118, -2, 0, 0, 25, 0, 146, -136, 0, 24, -150, 0, 20, 0, 0, -32, 60, 0, 0, 16, 0, 36, 94, 0, 96, 118, 0, -142, 0, 0, 78, -150, 0, 0, 112, 0, -74, -72, 0, 151, -36, 0, 168, 0, 0, -48, 50, 0, 0, -24, 0, -120, -44, 0, -212, -132, 0, -92, 0, 0, -95, 20, 0, 0, -107, 0, -49, 114, 0, -12, 29, 0, 30, 0, 0, 88, -62, 0, 0, -68, 0, 12, -45, 0, 236, -44, 0, 100, 0, 0, 59, -6, 0, 0, -66, 0, 230, 180, 0, -56, 171, 0, 190, 0, 0, 2, 277, 0, 0, -80, 0, -132, 57, 0, -119, -142, 0, -16, 0, 0, -172, -124, 0, 0, 52, 0, 102, 34, 0, 124, -29, 0, -56, 0, 0, -118, -48, 0, 0, 138, 0, -84, 94, 0, 217, 8, 0, -144, 0, 0, 38, -16, 0, 0, -16, 0, -36, 24, 0, 56, -164, 0, 490, 0, 0, 26, 28, 0, 0, 36, 0, -40, -206, 0, -28, -10, 0, 76, 0, 0, -56, -72, 0, 0, 220, 0, 146, -136, 0, 256, -227, 0, 161, 0, 0, -32, 90, 0, 0, -34, 0, 54, 160, 0, 22, -12, 0, 25, 0, 0, -19, -54, 0, 0, 208, 0, 122, 4, 0, 40, 212, 0, 18, 0, 0, -120, -46, 0, 0, -138, 0, -10, -54, 0, -46, -34, 0, -20, 0, 0, -91, -20, 0, 0, -280, 0, 86, 86, 0, 66, 184, 0, -93, 0, 0, -82, -304, 0, 0, -180, 0, -20, -90, 0, -376, -12, 0, -20, 0, 0, 180, -76, 0, 0, 248, 0, 160, -24, 0, -188, -144, 0, 46, 0, 0, 72, -139, 0, 0, 4, 0, 34, 5, 0, 36, -110, 0, 202, 0, 0, -205, 222, 0, 0, -56, 0, 21, 220, 0, 120, 318, 0, 29, 0, 0, 130, -152, 0, 0, -78, 0, -52, -60, 0, 190, -72, 0, 72, 0, 0, 57, -110, 0, 0, 391, 0, 188, 20, 0, 60, 258, 0, -168, 0, 0, 200, 324, 0, 0, 280, 0, -84, -222, 0, 218, 106, 0, -124, 0, 0, -26, 92, 0, 0, 235, 0, 164, 4, 0, 88, -148, 0, -74, 0, 0, 2, 96, 0, 0, 108, 0, -56, 120, 0, -470, -96, 0, 54, 0, 0, -8, -22, 0, 0, -272, 0, 27, -118, 0, -246, 203, 0, 2, 0, 0, -84, -382, 0, 0, 200, 0, -20, 226, 0, -4, 60, 0, -118, 0, 0, -36, 246, 0, 0, 231, 0, -144, 238, 0, -44, 200, 0, -128, 0, 0, 20, 20, 0, 0, -14, 0, 56, 333, 0, -290, 202, 0, -32, 0, 0, -37, 240, 0, 0, -322, 0, -202, -76, 0, 68, -136, 0, -45, 0, 0, -102, 270, 0, 0, -52, 0, -8, -51, 0, -314, -114, 0, 72, 0, 0, 154, 108, 0, 0, 36, 0, -242, -102, 0, 180, 146, 0, 116, 0, 0, 2, -392, 0, 0, 188, 0, -90, -234, 0, -643, 114, 0, -2, 0, 0, -208, -86, 0, 0, -674, 0, -289, -68, 0, 199, -203, 0, 35, 0, 0, 160, -54, 0, 0, -112, 0, -158, 242, 0, 94, 94, 0, -244, 0, 0, 40, -22, 0, 0, -570, 0, -27, -12, 0, -40, -106, 0, -26, 0, 0, -4, -25, 0, 0, -254, 0, 12, 200, 0, -215, 104, 0, -300, 0, 0, -300, 268, 0, 0, -87, 0, -376, 16, 0, 52, -466, 0, -414, 0, 0, 192, -420, 0, 0, -22, 0, -276, -454, 0, 704, -148, 0, -28, 0, 0, -36, -66, 0, 0, -138, 0, -160, -166, 0, 288, 59, 0, -253, 0, 0, -90, -152, 0, 0, -254, 0, -186, -677, 0, -8, -252, 0, 148, 0, 0, 530, 52, 0, 0, 110, 0, 33, -2, 0, 237, -88, 0, -304, 0, 0, -44, -407, 0, 0, 172, 0, 112, -150, 0, -668, -8, 0, -72, 0, 0, -132, 112, 0, 0, -436, 0, 112, 196, 0, -42, -14, 0, -527, 0, 0, 248, -202, 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: 48577504
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 112589990717823807, 'source_is_minimal': True, 'source_label': '6975.2.a.z.1.1', 'source_level': 6975, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 112589990717823807, 'target_is_minimal': True, 'target_label': '6975.2.a.z.1.1', 'target_level': 6975, 'twist_class_label': '6975.2.a.z.1.1', 'twist_class_level': 6975, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48577505
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 112589990717823807, 'source_is_minimal': True, 'source_label': '6975.2.a.z.1.1', 'source_level': 6975, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 144115188109417279, 'target_is_minimal': True, 'target_label': '6975.2.a.bg.1.3', 'target_level': 6975, 'twist_class_label': '6975.2.a.z.1.1', 'twist_class_level': 6975, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48577506
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 112589990717823807, 'source_is_minimal': True, 'source_label': '6975.2.a.z.1.1', 'source_level': 6975, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 148618787736787775, 'target_is_minimal': True, 'target_label': '6975.2.a.bh.1.3', 'target_level': 6975, 'twist_class_label': '6975.2.a.z.1.1', 'twist_class_level': 6975, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48577507
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 112589990717823807, 'source_is_minimal': True, 'source_label': '6975.2.a.z.1.1', 'source_level': 6975, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 117093590345194303, 'target_is_minimal': True, 'target_label': '6975.2.a.ba.1.1', 'target_level': 6975, 'twist_class_label': '6975.2.a.z.1.1', 'twist_class_level': 6975, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4342025
    {'charpoly_factorization': [[[-2, -2, 2, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 2}
  • id: 4342026
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 112589990717823807, 'p': 3}
  • id: 4342027
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 112589990717823807, 'p': 5}
  • id: 4342028
    {'charpoly_factorization': [[[4, 16, 8, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 7}
  • id: 4342029
    {'charpoly_factorization': [[[1, -1, -3, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 11}
  • id: 4342030
    {'charpoly_factorization': [[[10, -16, 4, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 13}
  • id: 4342031
    {'charpoly_factorization': [[[-59, -7, 7, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 17}
  • id: 4342032
    {'charpoly_factorization': [[[-3, 1], 3]], 'hecke_orbit_code': 112589990717823807, 'p': 19}
  • id: 4342033
    {'charpoly_factorization': [[[17, 23, 9, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 23}
  • id: 4342034
    {'charpoly_factorization': [[[13, -7, -9, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 29}
  • id: 4342035
    {'charpoly_factorization': [[[-1, 1], 3]], 'hecke_orbit_code': 112589990717823807, 'p': 31}
  • id: 4342036
    {'charpoly_factorization': [[[2, 8, 8, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 37}
  • id: 4342037
    {'charpoly_factorization': [[[-134, -58, -2, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 41}
  • id: 4342038
    {'charpoly_factorization': [[[-64, -80, 4, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 43}
  • id: 4342039
    {'charpoly_factorization': [[[-208, 120, -20, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 47}
  • id: 4342040
    {'charpoly_factorization': [[[349, 129, -25, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 53}
  • id: 4342041
    {'charpoly_factorization': [[[74, -74, -2, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 59}
  • id: 4342042
    {'charpoly_factorization': [[[40, -52, -2, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 61}
  • id: 4342043
    {'charpoly_factorization': [[[1, 35, 15, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 67}
  • id: 4342044
    {'charpoly_factorization': [[[-1184, -112, 12, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 71}
  • id: 4342045
    {'charpoly_factorization': [[[296, -148, 2, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 73}
  • id: 4342046
    {'charpoly_factorization': [[[-86, -72, -12, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 79}
  • id: 4342047
    {'charpoly_factorization': [[[-871, -57, 13, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 83}
  • id: 4342048
    {'charpoly_factorization': [[[103, 71, 15, 1], 1]], 'hecke_orbit_code': 112589990717823807, 'p': 89}
  • id: 4342049
    {'charpoly_factorization': [[[-103, -29, 7, 1], 1]], 'hecke_orbit_code': 112589990717823807, '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': 26, 'label': '6975.2.a.z', 'level': 6975, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 66915115
    {'hecke_orbit_code': 112589990717823807, 'n': 1, 'trace_an': 3}
  • id: 66915116
    {'hecke_orbit_code': 112589990717823807, 'n': 2, 'trace_an': -2}
  • id: 66915117
    {'hecke_orbit_code': 112589990717823807, 'n': 3, 'trace_an': 0}
  • id: 66915118
    {'hecke_orbit_code': 112589990717823807, 'n': 4, 'trace_an': 2}
  • id: 66915119
    {'hecke_orbit_code': 112589990717823807, 'n': 5, 'trace_an': 0}
  • id: 66915120
    {'hecke_orbit_code': 112589990717823807, 'n': 6, 'trace_an': 0}
  • id: 66915121
    {'hecke_orbit_code': 112589990717823807, 'n': 7, 'trace_an': -8}
  • id: 66915122
    {'hecke_orbit_code': 112589990717823807, 'n': 8, 'trace_an': -6}
  • id: 66915123
    {'hecke_orbit_code': 112589990717823807, 'n': 9, 'trace_an': 0}
  • id: 66915124
    {'hecke_orbit_code': 112589990717823807, 'n': 10, 'trace_an': 0}
  • id: 66915125
    {'hecke_orbit_code': 112589990717823807, 'n': 11, 'trace_an': 3}
  • id: 66915126
    {'hecke_orbit_code': 112589990717823807, 'n': 12, 'trace_an': 0}
  • id: 66915127
    {'hecke_orbit_code': 112589990717823807, 'n': 13, 'trace_an': -4}
  • id: 66915128
    {'hecke_orbit_code': 112589990717823807, 'n': 14, 'trace_an': 10}
  • id: 66915129
    {'hecke_orbit_code': 112589990717823807, 'n': 15, 'trace_an': 0}
  • id: 66915130
    {'hecke_orbit_code': 112589990717823807, 'n': 16, 'trace_an': 4}
  • id: 66915131
    {'hecke_orbit_code': 112589990717823807, 'n': 17, 'trace_an': -7}
  • id: 66915132
    {'hecke_orbit_code': 112589990717823807, 'n': 18, 'trace_an': 0}
  • id: 66915133
    {'hecke_orbit_code': 112589990717823807, 'n': 19, 'trace_an': 9}
  • id: 66915134
    {'hecke_orbit_code': 112589990717823807, 'n': 20, 'trace_an': 0}
  • id: 66915135
    {'hecke_orbit_code': 112589990717823807, 'n': 21, 'trace_an': 0}
  • id: 66915136
    {'hecke_orbit_code': 112589990717823807, 'n': 22, 'trace_an': 0}
  • id: 66915137
    {'hecke_orbit_code': 112589990717823807, 'n': 23, 'trace_an': -9}
  • id: 66915138
    {'hecke_orbit_code': 112589990717823807, 'n': 24, 'trace_an': 0}
  • id: 66915139
    {'hecke_orbit_code': 112589990717823807, 'n': 25, 'trace_an': 0}
  • id: 66915140
    {'hecke_orbit_code': 112589990717823807, 'n': 26, 'trace_an': 18}
  • id: 66915141
    {'hecke_orbit_code': 112589990717823807, 'n': 27, 'trace_an': 0}
  • id: 66915142
    {'hecke_orbit_code': 112589990717823807, 'n': 28, 'trace_an': -4}
  • id: 66915143
    {'hecke_orbit_code': 112589990717823807, 'n': 29, 'trace_an': 9}
  • id: 66915144
    {'hecke_orbit_code': 112589990717823807, 'n': 30, 'trace_an': 0}
  • id: 66915145
    {'hecke_orbit_code': 112589990717823807, 'n': 31, 'trace_an': 3}
  • id: 66915146
    {'hecke_orbit_code': 112589990717823807, 'n': 32, 'trace_an': -4}
  • id: 66915147
    {'hecke_orbit_code': 112589990717823807, 'n': 33, 'trace_an': 0}
  • id: 66915148
    {'hecke_orbit_code': 112589990717823807, 'n': 34, 'trace_an': -6}
  • id: 66915149
    {'hecke_orbit_code': 112589990717823807, 'n': 35, 'trace_an': 0}
  • id: 66915150
    {'hecke_orbit_code': 112589990717823807, 'n': 36, 'trace_an': 0}
  • id: 66915151
    {'hecke_orbit_code': 112589990717823807, 'n': 37, 'trace_an': -8}
  • id: 66915152
    {'hecke_orbit_code': 112589990717823807, 'n': 38, 'trace_an': -6}
  • id: 66915153
    {'hecke_orbit_code': 112589990717823807, 'n': 39, 'trace_an': 0}
  • id: 66915154
    {'hecke_orbit_code': 112589990717823807, 'n': 40, 'trace_an': 0}
  • id: 66915155
    {'hecke_orbit_code': 112589990717823807, 'n': 41, 'trace_an': 2}
  • id: 66915156
    {'hecke_orbit_code': 112589990717823807, 'n': 42, 'trace_an': 0}
  • id: 66915157
    {'hecke_orbit_code': 112589990717823807, 'n': 43, 'trace_an': -4}
  • id: 66915158
    {'hecke_orbit_code': 112589990717823807, 'n': 44, 'trace_an': -8}
  • id: 66915159
    {'hecke_orbit_code': 112589990717823807, 'n': 45, 'trace_an': 0}
  • id: 66915160
    {'hecke_orbit_code': 112589990717823807, 'n': 46, 'trace_an': 4}
  • id: 66915161
    {'hecke_orbit_code': 112589990717823807, 'n': 47, 'trace_an': 20}
  • id: 66915162
    {'hecke_orbit_code': 112589990717823807, 'n': 48, 'trace_an': 0}
  • id: 66915163
    {'hecke_orbit_code': 112589990717823807, 'n': 49, 'trace_an': 11}
  • id: 66915164
    {'hecke_orbit_code': 112589990717823807, 'n': 50, 'trace_an': 0}
  • id: 66915165
    {'hecke_orbit_code': 112589990717823807, 'n': 51, 'trace_an': 0}
  • id: 66915166
    {'hecke_orbit_code': 112589990717823807, 'n': 52, 'trace_an': -30}
  • id: 66915167
    {'hecke_orbit_code': 112589990717823807, 'n': 53, 'trace_an': 25}
  • id: 66915168
    {'hecke_orbit_code': 112589990717823807, 'n': 54, 'trace_an': 0}
  • id: 66915169
    {'hecke_orbit_code': 112589990717823807, 'n': 55, 'trace_an': 0}
  • id: 66915170
    {'hecke_orbit_code': 112589990717823807, 'n': 56, 'trace_an': 4}
  • id: 66915171
    {'hecke_orbit_code': 112589990717823807, 'n': 57, 'trace_an': 0}
  • id: 66915172
    {'hecke_orbit_code': 112589990717823807, 'n': 58, 'trace_an': 10}
  • id: 66915173
    {'hecke_orbit_code': 112589990717823807, 'n': 59, 'trace_an': 2}
  • id: 66915174
    {'hecke_orbit_code': 112589990717823807, 'n': 60, 'trace_an': 0}
  • id: 66915175
    {'hecke_orbit_code': 112589990717823807, 'n': 61, 'trace_an': 2}
  • id: 66915176
    {'hecke_orbit_code': 112589990717823807, 'n': 62, 'trace_an': -2}
  • id: 66915177
    {'hecke_orbit_code': 112589990717823807, 'n': 63, 'trace_an': 0}
  • id: 66915178
    {'hecke_orbit_code': 112589990717823807, 'n': 64, 'trace_an': 4}
  • id: 66915179
    {'hecke_orbit_code': 112589990717823807, 'n': 65, 'trace_an': 0}
  • id: 66915180
    {'hecke_orbit_code': 112589990717823807, 'n': 66, 'trace_an': 0}
  • id: 66915181
    {'hecke_orbit_code': 112589990717823807, 'n': 67, 'trace_an': -15}
  • id: 66915182
    {'hecke_orbit_code': 112589990717823807, 'n': 68, 'trace_an': 24}
  • id: 66915183
    {'hecke_orbit_code': 112589990717823807, 'n': 69, 'trace_an': 0}
  • id: 66915184
    {'hecke_orbit_code': 112589990717823807, 'n': 70, 'trace_an': 0}
  • id: 66915185
    {'hecke_orbit_code': 112589990717823807, 'n': 71, 'trace_an': -12}
  • id: 66915186
    {'hecke_orbit_code': 112589990717823807, 'n': 72, 'trace_an': 0}
  • id: 66915187
    {'hecke_orbit_code': 112589990717823807, 'n': 73, 'trace_an': -2}
  • id: 66915188
    {'hecke_orbit_code': 112589990717823807, 'n': 74, 'trace_an': -6}
  • id: 66915189
    {'hecke_orbit_code': 112589990717823807, 'n': 75, 'trace_an': 0}
  • id: 66915190
    {'hecke_orbit_code': 112589990717823807, 'n': 76, 'trace_an': 6}
  • id: 66915191
    {'hecke_orbit_code': 112589990717823807, 'n': 77, 'trace_an': -14}
  • id: 66915192
    {'hecke_orbit_code': 112589990717823807, 'n': 78, 'trace_an': 0}
  • id: 66915193
    {'hecke_orbit_code': 112589990717823807, 'n': 79, 'trace_an': 12}
  • id: 66915194
    {'hecke_orbit_code': 112589990717823807, 'n': 80, 'trace_an': 0}
  • id: 66915195
    {'hecke_orbit_code': 112589990717823807, 'n': 81, 'trace_an': 0}
  • id: 66915196
    {'hecke_orbit_code': 112589990717823807, 'n': 82, 'trace_an': 0}
  • id: 66915197
    {'hecke_orbit_code': 112589990717823807, 'n': 83, 'trace_an': -13}
  • id: 66915198
    {'hecke_orbit_code': 112589990717823807, 'n': 84, 'trace_an': 0}
  • id: 66915199
    {'hecke_orbit_code': 112589990717823807, 'n': 85, 'trace_an': 0}
  • id: 66915200
    {'hecke_orbit_code': 112589990717823807, 'n': 86, 'trace_an': -16}
  • id: 66915201
    {'hecke_orbit_code': 112589990717823807, 'n': 87, 'trace_an': 0}
  • id: 66915202
    {'hecke_orbit_code': 112589990717823807, 'n': 88, 'trace_an': 10}
  • id: 66915203
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  • id: 66915204
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  • id: 66915205
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  • id: 66915206
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  • id: 66915207
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  • id: 66915208
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  • id: 66915209
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  • id: 66915211
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  • id: 66915212
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  • id: 66915213
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  • id: 66915215
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  • id: 66915216
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  • id: 66915217
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  • id: 66915218
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  • id: 66915219
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  • id: 66915220
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  • id: 66915221
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  • id: 66915222
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  • id: 66915223
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  • id: 66915224
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  • id: 66915225
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  • id: 66915226
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  • id: 66915227
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  • id: 66915228
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  • id: 66915229
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  • id: 66915230
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  • id: 66915231
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  • id: 66915232
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  • id: 66915233
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  • id: 66915234
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  • id: 66915235
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  • id: 66915236
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  • id: 66915237
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  • id: 66915238
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  • id: 66915239
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  • id: 66915240
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  • id: 66915241
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  • id: 66915242
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  • id: 66915243
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  • id: 66915244
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  • id: 66915245
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  • id: 66915246
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  • id: 66915247
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  • id: 66915248
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  • id: 66915249
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  • id: 66915250
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  • id: 66915251
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  • id: 66915252
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  • id: 66915253
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  • id: 66915254
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  • id: 66915255
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  • id: 66915256
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  • id: 66915257
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  • id: 66915258
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  • id: 66915259
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  • id: 66915260
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  • id: 66915261
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  • id: 66915262
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  • id: 66915263
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  • id: 66915264
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  • id: 66915265
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  • id: 66915266
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  • id: 66915267
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  • id: 66915268
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  • id: 66915269
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  • id: 66915270
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  • id: 66915271
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  • id: 66915272
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  • id: 66915273
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  • id: 66915274
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  • id: 66915275
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  • id: 66915276
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  • id: 66915277
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  • id: 66915278
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  • id: 66915279
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  • id: 66915280
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  • id: 66915281
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  • id: 66915282
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  • id: 66915283
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  • id: 66915284
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  • id: 66915285
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  • id: 66915286
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  • id: 66915287
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  • id: 66915288
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  • id: 66915289
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  • id: 66915290
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  • id: 66915291
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  • id: 66915292
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  • id: 66915293
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  • id: 66915294
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  • id: 66915295
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  • id: 66915296
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  • id: 66915297
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  • id: 66915298
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  • id: 66915299
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  • id: 66915300
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  • id: 66915301
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  • id: 66915302
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  • id: 66915303
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  • id: 66915304
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  • id: 66915305
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  • id: 66915306
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  • id: 66915307
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  • id: 66915308
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  • id: 66915309
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  • id: 66915310
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  • id: 66915311
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  • id: 66915312
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  • id: 66915313
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  • id: 66915314
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  • id: 66915315
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  • id: 66915316
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  • id: 66915317
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  • id: 66915318
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  • id: 66915319
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  • id: 66915320
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  • id: 66915321
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  • id: 66915322
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  • id: 66915323
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  • id: 66915324
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  • id: 66915325
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  • id: 66915326
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  • id: 66915327
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  • id: 66915328
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  • id: 66915329
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  • id: 66915330
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  • id: 66915331
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  • id: 66915332
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  • id: 66915333
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  • id: 66915334
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  • id: 66915335
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  • id: 66915336
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  • id: 66915337
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  • id: 66915338
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  • id: 66915339
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  • id: 66915340
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  • id: 66915341
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  • id: 66915342
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  • id: 66915343
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  • id: 66915344
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  • id: 66915345
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  • id: 66915346
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  • id: 66915347
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  • id: 66915348
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  • id: 66915349
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  • id: 66915350
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  • id: 66915351
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  • id: 66915352
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  • id: 66915353
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  • id: 66915354
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  • id: 66915355
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  • id: 66915356
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  • id: 66915357
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  • id: 66915358
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  • id: 66915359
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  • id: 66915360
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  • id: 66915361
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  • id: 66915362
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  • id: 66915363
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  • id: 66915364
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  • id: 66915365
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  • id: 66915366
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  • id: 66915367
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  • id: 66915368
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  • id: 66915369
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  • id: 66915370
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  • id: 66915371
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  • id: 66915372
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