Embedded newform data - 804.2.ba.b.41.16

Formats: - HTML - YAML - JSON - 2024-04-27T23:25:47.447750

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 3216, 'analytic_conductor': 6.419972322510943, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 201, 'char_degree': 20, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 27, 'char_orbit_label': 'ba', 'char_order': 66, 'char_parity': 1, 'char_values': [804, 66, [403, 269, 337], [66, 33, 53]], 'cm_discs': [], 'conrey_index': 41, 'conrey_indexes': [41, 101, 113, 185, 197, 221, 233, 245, 281, 329, 353, 413, 497, 593, 605, 653, 677, 701, 749, 785], 'dim': 440, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [408967770436223136337936460856499187525977563397615217639333474251464700047858662416241471001, 0, -199234078437243959543941610661991710763644693852463058453924515952160551763434802831194891952939, 0, 202006692709810687443975877310067690827304273422872699962495479791457832882358209267539327094131187, 0, -6588962031592112259590428444381873110228337689548368036551156145186999141382710045099755706302807231, 0, 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962569964, 0, 25918330, 0, 596253, 0, 10992, 0, 144, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4505386367320868, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 67, 8, -1, 66, 0], [1, 1, 201, 16, 1, 66, 0]], 'is_cm': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '804.2.ba.b', 'level': 804, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 67], 'level_radical': 402, 'minimal_twist': '804.2.ba.b', 'prim_orbit_index': 16, 'related_objects': [], 'relative_dim': 22, 'rm_discs': [], 'sato_tate_group': '1.2.3.c66', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '804.2.ba', 'trace_display': [0, 0, 0, -12], 'traces': [440, 0, 0, 0, 0, 0, -12, 0, 4, 0, 0, 0, 0, 0, -2, 0, 0, 0, -10, 0, 22, 0, 0, 0, -68, 0, 0, 0, 0, 0, 50, 0, 11, 0, 0, 0, -22, 0, -45, 0, 0, 0, 22, 0, 22, 0, 0, 0, -18, 0, -6, 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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

  
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[0.0, 1.3544395498021935], [0.0, 0.0], [-0.1774690820517787, -0.4354309957419353], [0.0, 0.0], [0.7749523334113952, -0.49803162384904553], [0.0, 0.0], [0.8132790096406963, 0.11693186854806077], [0.0, 0.0], [0.5889756094831827, 0.19162312712623542], [0.0, 0.0], [-0.037537219056250376, -0.017142673544843282], [0.0, 0.0], [0.19453994400152422, 0.48593728785674567], [0.0, 0.0], [-0.3143953864293859, -0.14122398065110608], [0.0, 0.0], [0.6281371006609626, -0.28686060205736685], [0.0, 0.0], [0.17492726017430407, 0.5054191257484922], [0.0, 0.0], [-0.020251150349035657, -0.06741576450159625], [0.0, 0.0], [-1.06670374493706, -1.3564241539348305], [0.0, 0.0], [-0.0043270081722645674, -0.09083508019440457], [0.0, 0.0], [0.003902173412746551, 0.007343514816932524], [0.0, 0.0], [0.05542313714411803, 0.38547638592829386], [0.0, 0.0], [0.6883898722686884, 1.192326234185218], [0.0, 0.0], [0.4656667811405038, -1.1844686124128567], [0.0, 0.0], [-0.08668619261099142, -0.06172895831488792], [0.0, 0.0], [-0.04889253781026916, 1.026380680621513], [0.0, 0.0], [-0.5614329473532653, -0.07716243792404662], [0.0, 0.0], [-1.457059149838507, -0.353478725029781], [0.0, 0.0], [0.10958393109048614, -0.5685754250137817], [0.0, 0.0], [-1.1743435717083597, 0.07058517111010368], [0.0, 0.0], [0.5758944604536835, 0.37010489670099306], [0.0, 0.0], [-0.40036229583540406, -0.20640110892188535], [0.0, 0.0], [1.8442876113590878, -1.2015183335261925], [0.0, 0.0], [0.4501608852735579, 0.3540104330585056], [0.0, 0.0], [-0.8169452028852984, 0.7078870479175043], [0.0, 0.0], [0.20552188813737665, -0.14828569724132393], [0.0, 0.0], [-0.02991480233739539, 0.015422152484997839], [0.0, 0.0], [-1.1338817831481485, 0.33293773139249244], [0.0, 0.0], [0.9326242385727306, -0.92306915390948], [0.0, 0.0]], 'angles': [None, None, 0.06130952872522079, 0.09642623962125356, -0.2804056583741465, -0.18123069060567248, -0.2381209066457143, -0.08667538587337353, -0.12770202669607097, -0.31846266049538746, -0.46623960189733443, 0.19722988988302717, -0.1741992899523961, -0.10487689543960907, -0.26159723782606853, -0.0331502229964666, -0.3732480210439969, 0.16757020470987827, None, -0.3117547309524557, -0.24721602786523683, -0.37688064006042105, 0.2512648874585801, -0.26984703170934116, -0.11946523977066201, -0.48865129589688405, -0.2392272203986609, -0.27338903280723326, -0.35445765243428734, -0.2642055651263223, -0.19568135856258342, -0.11934344508432147, -0.45750723007467503, -0.1620808576488689, -0.42577576398871797, -0.07027550486720935, 0.04148391979004489, -0.12398212270406583, -0.22231687150277715, -0.25017815458029324, -0.20660885952417946, -0.13520739238901386, -0.23173401366973387, -0.22898949331953525, 0.13074130111425153, -0.09290517909693434, -0.3631561661877867, -0.1827455304380789, -0.3840730927948973, -0.2184417668575193, -0.49038914919371557, -0.06186724262255914, 0.015287892750960248, 0.0760303174811919, -0.04901024413929823, -0.1442828456117679, -0.3825821302655545, -0.49150075653217695, -0.46262196876843636, -0.46093569551514696, -0.13307299192062247, -0.44256304727528695, 0.14337034423697592, -0.33220916438560316, -0.3713193840113081, -0.05786758614313616, -0.17674783576803202, -0.17724559682001792, -0.07268339253193297, -0.14619683719173876, -0.30902405710763164, -0.4117416352584861, -0.12280961049729465, -0.2833129215790937, -0.4207784485883591, -0.15627011799511856, -0.04415052623192909, 0.0609128433765527, -0.3770541416077512, 0.036333199599268284, -0.2976464789791014, -0.09078848976508866, -0.2817513251760766, -0.4432047162891429, 0.2852864620066923, -0.2744694631145658, 0.155415647456247, -0.005488430524053128, -0.47014427186704716, -0.3918786991080952, -0.4180040974047598, 0.06717430756856387, -0.4556795979645721, 0.20208119154243429, -0.3069795519567796, -0.20567280589609996, -0.36950918298216373, -0.11377306213362025, -0.33051604164579623, -0.161019720565274, 0.055054398836885385, -0.4723519126613956, -0.36561464712354763, -0.14491546052491006, -0.3148606845762585, -0.49510460993862326, -0.2652376092829134, -0.18962536508500275, -0.4784491412851276, -0.12410605344429954, -0.42091343172298396, -0.38235400634928784, -0.39652353480798047, -0.008510015465453005, -0.3445952474814931, -0.05358424141974098, -0.4073575347129137, 0.02326000569671576, 0.019019141657360128, 0.10393519137432113, -0.4943396901222874, 0.07176077844370017, -0.20391835049414353, -0.49697779137404696, -0.32286784043115907, -0.20001212440966765, -0.39201114132397813, 0.0014582346238906354, -0.11391601162634309, -0.2477796665950513, 0.3072458550058655, -0.33174006371296194, -0.170067258047747, -0.3655753522877573, -0.18178566495847046, -0.13879837833680103, -0.4054741345709519, -0.2282553001260804, 0.07336939866550363, 0.04910956261123128, -0.3754475624610069, -0.3413100615920719, -0.18459475426465952, -0.2212073374471379, -0.2501751918384948, -0.39187059115818473, -0.2100879404857871, -0.1182465101647521, -0.43542923982194465, -0.4225724807369731, -0.2667814032358103, -0.02799299883387701, -0.33189661272867343, -0.2498112175131893, -0.10125928195217244, -0.35190276749186583, 0.05717547299748722, -0.315365687464681, 0.11840768501656754, -0.26472733709273866, -0.18510228900370487, -0.2620755057270687, 0.03750774462720031, -0.15998769145641242, -0.3470130224881485, -0.10349074140241574, -0.4545163011079655, -0.39606332616453616], 'char_orbit_index': 27, 'conrey_index': 41, 'dual_conrey_index': 353, 'dual_embedding_index': 16, 'dual_embedding_m': 236, 'embedding_index': 16, 'embedding_m': 16, 'hecke_orbit': 2, 'hecke_orbit_code': 4505386367320868, 'label': '804.2.ba.b.41.16', 'level': 804, 'weight': 2}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	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_prime	boolean
  level_is_prime_power	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': 3216, 'analytic_conductor': 6.419972322510943, 'char_conductor': 201, 'char_degree': 20, 'char_is_real': False, 'char_orbit_index': 27, 'char_orbit_label': 'ba', 'char_order': 66, 'char_parity': 1, 'char_values': [804, 66, [403, 269, 337], [66, 33, 53]], 'conrey_index': 41, 'cusp_dim': 2600, 'dim': 460, 'eis_dim': 240, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 1786739950372, 'hecke_orbit_dims': [20, 440], 'label': '804.2.ba', 'level': 804, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 67], 'level_radical': 402, 'mf_dim': 2840, 'mf_new_dim': 460, 'num_forms': 2, 'prim_orbit_index': 16, 'relative_dim': 23, 'sturm_bound': 272, 'trace_bound': 1, 'trace_display': [0, 0, 0, -6], 'traces': [460, 0, 0, 0, 0, 0, -6, 0, 10, 0, 0, 0, 9, 0, -2, 0, 0, 0, -18, 0, 28, 0, 0, 0, -58, 0, 0, 0, 0, 0, 47, 0, 11, 0, 0, 0, -12, 0, -54, 0, 0, 0, 22, 0, 22, 0, 0, 0, -23, 0, -6, 0, 0, 0, 126, 0, -42, 0, 0, 0, -29, 0, 6, 0, 0, 0, -1, 0, 33, 0, 0, 0, 176, 0, 165, 0, 0, 0, 62, 0, 6, 0, 0, 0, -6, 0, 75, 0, 0, 0, -40, 0, -78, 0, 0, 0, 45, 0, 88, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -30, 0, 0, 0, 36, 0, 16, 0, 0, 0, -137, 0, -264, 0, 0, 0, 33, 0, -189, 0, 0, 0, 0, 0, -502, 0, 0, 0, -44, 0, -188, 0, 0, 0, 48, 0, -222, 0, 0, 0, -19, 0, -46, 0, 0, 0, -42, 0, 55, 0, 0, 0, -121, 0, -13, 0, 0, 0, -56, 0, 67, 0, 0, 0, 59, 0, -187, 0, 0, 0, 20, 0, -135, 0, 0, 0, -176, 0, -208, 0, 0, 0, -80, 0, -181, 0, 0, 0, -19, 0, -133, 0, 0, 0, -212, 0, -261, 0, 0, 0, 59, 0, -198, 0, 0, 0, -148, 0, -83, 0, 0, 0, -79, 0, 66, 0, 0, 0, 54, 0, -108, 0, 0, 0, -168, 0, -1, 0, 0, 0, -98, 0, -55, 0, 0, 0, -84, 0, 107, 0, 0, 0, 88, 0, -31, 0, 0, 0, -440, 0, 33, 0, 0, 0, -70, 0, 0, 0, 0, 0, -220, 0, -22, 0, 0, 0, -62, 0, -78, 0, 0, 0, -110, 0, 67, 0, 0, 0, -229, 0, 15, 0, 0, 0, -176, 0, 194, 0, 0, 0, -228, 0, 110, 0, 0, 0, 329, 0, 259, 0, 0, 0, -242, 0, 379, 0, 0, 0, 184, 0, 55, 0, 0, 0, 135, 0, 239, 0, 0, 0, -51, 0, 158, 0, 0, 0, 89, 0, 331, 0, 0, 0, -264, 0, 5, 0, 0, 0, 108, 0, 285, 0, 0, 0, -336, 0, 246, 0, 0, 0, 209, 0, 68, 0, 0, 0, -146, 0, 355, 0, 0, 0, 225, 0, 125, 0, 0, 0, 221, 0, 480, 0, 0, 0, 104, 0, 132, 0, 0, 0, 554, 0, 550, 0, 0, 0, 162, 0, 197, 0, 0, 0, 1026, 0, 440, 0, 0, 0, 206, 0, 385, 0, 0, 0, 492, 0, 281, 0, 0, 0, 279, 0, 454, 0, 0, 0, 141, 0, -55, 0, 0, 0, 61, 0, 581, 0, 0, 0, 47, 0, 15, 0, 0, 0, 616, 0, 517, 0, 0, 0, -22, 0, -75, 0, 0, 0, 247, 0, -102, 0, 0, 0, 714, 0, -183, 0, 0, 0, 243, 0, -220, 0, 0, 0, 492, 0, 231, 0, 0, 0, 828, 0, -200, 0, 0, 0, 134, 0, 234, 0, 0, 0, -92, 0, -706, 0, 0, 0, 762, 0, 238, 0, 0, 0, 94, 0, -153, 0, 0, 0, 220, 0, -115, 0, 0, 0, -254, 0, 89, 0, 0, 0, 18, 0, -314, 0, 0, 0, -23, 0, 351, 0, 0, 0, 0, 0, -800, 0, 0, 0, 0, 0, 73, 0, 0, 0, 37, 0, -378, 0, 0, 0, -62, 0, 166, 0, 0, 0, 79, 0, -367, 0, 0, 0, -394, 0, -190, 0, 0, 0, -560, 0, -129, 0, 0, 0, -625, 0, -330, 0, 0, 0, -1034, 0, 72, 0, 0, 0, -385, 0, -454, 0, 0, 0, -588, 0, -89, 0, 0, 0, -49, 0, -641, 0, 0, 0, -507, 0, -319, 0, 0, 0, -569, 0, -603, 0, 0, 0, -922, 0, -348, 0, 0, 0, -316, 0, -451, 0, 0, 0, -598, 0, -696, 0, 0, 0, -1050, 0, 56, 0, 0, 0, -86, 0, -341, 0, 0, 0, -1176, 0, -249, 0, 0, 0, 264, 0, 139, 0, 0, 0, -748, 0, 265, 0, 0, 0, -744, 0, 0, 0, 0, 0, -462, 0, -22, 0, 0, 0, -858, 0, -138, 0, 0, 0, -1212, 0, 116, 0, 0, 0, -774, 0, 178, 0, 0, 0, 418, 0, 307, 0, 0, 0, -1134, 0, 506, 0, 0, 0, -246, 0, 630, 0, 0, 0, -726, 0, 293, 0, 0, 0, 448, 0, 473, 0, 0, 0, 139, 0, 292, 0, 0, 0, 142, 0, -63, 0, 0, 0, 193, 0, 981, 0, 0, 0, -396, 0, -118, 0, 0, 0, 256, 0, 557, 0, 0, 0, -33, 0, 311, 0, 0, 0, 948, 0, 496, 0, 0, 0, -659, 0, 1016, 0, 0, 0, 681, 0, -344, 0, 0, 0, 112, 0, 543, 0, 0, 0, 104, 0, 286, 0, 0, 0, 307, 0, 990, 0, 0, 0, -716, 0, -228, 0, 0, 0, 1080, 0, 704, 0, 0, 0, 129, 0, 314, 0, 0, 0, 602, 0, 558, 0, 0, 0, 34, 0, 536, 0, 0, 0, 154, 0, 198, 0, 0, 0, 182, 0, 602, 0, 0, 0, 304, 0, -337, 0, 0, 0, 968, 0, 308, 0, 0, 0, 233, 0, 64, 0, 0, 0, 635, 0, -107, 0, 0, 0, 164, 0, -110, 0, 0, 0, 572, 0, -499, 0, 0, 0, 53, 0, 572, 0, 0, 0, 440, 0, -789, 0, 0, 0, 1084, 0, 115, 0, 0, 0, 52, 0, -1088, 0, 0, 0, 510, 0, 58, 0, 0, 0, 350, 0, -651, 0, 0, 0, 44, 0, -642, 0, 0, 0, 28, 0, -241, 0, 0, 0, 209, 0, -1033, 0, 0, 0, 21, 0, -362, 0, 0, 0, 0, 0, -1040, 0, 0, 0, 44, 0, -288, 0, 0, 0, 93, 0, -1326, 0, 0, 0, -454, 0, -913, 0, 0, 0, -280, 0, -1030, 0, 0, 0, -451, 0, -683, 0, 0, 0, -1048, 0, -578, 0, 0, 0, -354, 0, -1397, 0, 0, 0, -674, 0, -628, 0, 0, 0, 44, 0, -1136, 0, 0, 0, -228, 0, -807, 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: 38458394
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 41, 'source_dim': 440, 'source_embedding_index': 16, 'source_hecke_orbit_code': 4505386367320868, 'source_is_minimal': True, 'source_label': '804.2.ba.b.41.16', 'source_level': 804, 'target_conrey_index': 41, 'target_dim': 440, 'target_embedding_index': 16, 'target_hecke_orbit_code': 4505386367320868, 'target_is_minimal': True, 'target_label': '804.2.ba.b.41.16', 'target_level': 804, 'twist_class_label': '804.2.ba.b.41.1', 'twist_class_level': 804, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 38458395
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 41, 'source_dim': 440, 'source_embedding_index': 16, 'source_hecke_orbit_code': 4505386367320868, 'source_is_minimal': True, 'source_label': '804.2.ba.b.41.16', 'source_level': 804, 'target_conrey_index': 41, 'target_dim': 440, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4505386367320868, 'target_is_minimal': True, 'target_label': '804.2.ba.b.41.1', 'target_level': 804, 'twist_class_label': '804.2.ba.b.41.1', 'twist_class_level': 804, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 38458396
    {'conductor': 67, 'degree': 20, 'order': 66, 'parity': -1, 'source_conrey_index': 41, 'source_dim': 440, 'source_embedding_index': 16, 'source_hecke_orbit_code': 4505386367320868, 'source_is_minimal': True, 'source_label': '804.2.ba.b.41.16', 'source_level': 804, 'target_conrey_index': 353, 'target_dim': 440, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4505386367320868, 'target_is_minimal': True, 'target_label': '804.2.ba.b.353.1', 'target_level': 804, 'twist_class_label': '804.2.ba.b.41.1', 'twist_class_level': 804, 'twisting_char_label': '67.18', 'twisting_conrey_index': 18, 'weight': 2}
  • id: 38458397
    {'conductor': 201, 'degree': 20, 'order': 66, 'parity': 1, 'source_conrey_index': 41, 'source_dim': 440, 'source_embedding_index': 16, 'source_hecke_orbit_code': 4505386367320868, 'source_is_minimal': True, 'source_label': '804.2.ba.b.41.16', 'source_level': 804, 'target_conrey_index': 353, 'target_dim': 440, 'target_embedding_index': 16, 'target_hecke_orbit_code': 4505386367320868, 'target_is_minimal': True, 'target_label': '804.2.ba.b.353.16', 'target_level': 804, 'twist_class_label': '804.2.ba.b.41.1', 'twist_class_level': 804, 'twisting_char_label': '201.152', 'twisting_conrey_index': 152, 'weight': 2}
• hecke_orbit_code 4505386367320868 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 27, 'hecke_orbit': 2, 'label': '804.2.ba.b', 'level': 804, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 97201000
    {'hecke_orbit_code': 4505386367320868, 'n': 1, 'trace_an': 440}
  • id: 97201001
    {'hecke_orbit_code': 4505386367320868, 'n': 2, 'trace_an': 0}
  • id: 97201002
    {'hecke_orbit_code': 4505386367320868, 'n': 3, 'trace_an': 0}
  • id: 97201003
    {'hecke_orbit_code': 4505386367320868, 'n': 4, 'trace_an': 0}
  • id: 97201004
    {'hecke_orbit_code': 4505386367320868, 'n': 5, 'trace_an': 0}
  • id: 97201005
    {'hecke_orbit_code': 4505386367320868, 'n': 6, 'trace_an': 0}
  • id: 97201006
    {'hecke_orbit_code': 4505386367320868, 'n': 7, 'trace_an': -12}
  • id: 97201007
    {'hecke_orbit_code': 4505386367320868, 'n': 8, 'trace_an': 0}
  • id: 97201008
    {'hecke_orbit_code': 4505386367320868, 'n': 9, 'trace_an': 4}
  • id: 97201009
    {'hecke_orbit_code': 4505386367320868, 'n': 10, 'trace_an': 0}
  • id: 97201010
    {'hecke_orbit_code': 4505386367320868, 'n': 11, 'trace_an': 0}
  • id: 97201011
    {'hecke_orbit_code': 4505386367320868, 'n': 12, 'trace_an': 0}
  • id: 97201012
    {'hecke_orbit_code': 4505386367320868, 'n': 13, 'trace_an': 0}
  • id: 97201013
    {'hecke_orbit_code': 4505386367320868, 'n': 14, 'trace_an': 0}
  • id: 97201014
    {'hecke_orbit_code': 4505386367320868, 'n': 15, 'trace_an': -2}
  • id: 97201015
    {'hecke_orbit_code': 4505386367320868, 'n': 16, 'trace_an': 0}
  • id: 97201016
    {'hecke_orbit_code': 4505386367320868, 'n': 17, 'trace_an': 0}
  • id: 97201017
    {'hecke_orbit_code': 4505386367320868, 'n': 18, 'trace_an': 0}
  • id: 97201018
    {'hecke_orbit_code': 4505386367320868, 'n': 19, 'trace_an': -10}
  • id: 97201019
    {'hecke_orbit_code': 4505386367320868, 'n': 20, 'trace_an': 0}
  • id: 97201020
    {'hecke_orbit_code': 4505386367320868, 'n': 21, 'trace_an': 22}
  • id: 97201021
    {'hecke_orbit_code': 4505386367320868, 'n': 22, 'trace_an': 0}
  • id: 97201022
    {'hecke_orbit_code': 4505386367320868, 'n': 23, 'trace_an': 0}
  • id: 97201023
    {'hecke_orbit_code': 4505386367320868, 'n': 24, 'trace_an': 0}
  • id: 97201024
    {'hecke_orbit_code': 4505386367320868, 'n': 25, 'trace_an': -68}
  • id: 97201025
    {'hecke_orbit_code': 4505386367320868, 'n': 26, 'trace_an': 0}
  • id: 97201026
    {'hecke_orbit_code': 4505386367320868, 'n': 27, 'trace_an': 0}
  • id: 97201027
    {'hecke_orbit_code': 4505386367320868, 'n': 28, 'trace_an': 0}
  • id: 97201028
    {'hecke_orbit_code': 4505386367320868, 'n': 29, 'trace_an': 0}
  • id: 97201029
    {'hecke_orbit_code': 4505386367320868, 'n': 30, 'trace_an': 0}
  • id: 97201030
    {'hecke_orbit_code': 4505386367320868, 'n': 31, 'trace_an': 50}
  • id: 97201031
    {'hecke_orbit_code': 4505386367320868, 'n': 32, 'trace_an': 0}
  • id: 97201032
    {'hecke_orbit_code': 4505386367320868, 'n': 33, 'trace_an': 11}
  • id: 97201033
    {'hecke_orbit_code': 4505386367320868, 'n': 34, 'trace_an': 0}
  • id: 97201034
    {'hecke_orbit_code': 4505386367320868, 'n': 35, 'trace_an': 0}
  • id: 97201035
    {'hecke_orbit_code': 4505386367320868, 'n': 36, 'trace_an': 0}
  • id: 97201036
    {'hecke_orbit_code': 4505386367320868, 'n': 37, 'trace_an': -22}
  • id: 97201037
    {'hecke_orbit_code': 4505386367320868, 'n': 38, 'trace_an': 0}
  • id: 97201038
    {'hecke_orbit_code': 4505386367320868, 'n': 39, 'trace_an': -45}
  • id: 97201039
    {'hecke_orbit_code': 4505386367320868, 'n': 40, 'trace_an': 0}
  • id: 97201040
    {'hecke_orbit_code': 4505386367320868, 'n': 41, 'trace_an': 0}
  • id: 97201041
    {'hecke_orbit_code': 4505386367320868, 'n': 42, 'trace_an': 0}
  • id: 97201042
    {'hecke_orbit_code': 4505386367320868, 'n': 43, 'trace_an': 22}
  • id: 97201043
    {'hecke_orbit_code': 4505386367320868, 'n': 44, 'trace_an': 0}
  • id: 97201044
    {'hecke_orbit_code': 4505386367320868, 'n': 45, 'trace_an': 22}
  • id: 97201045
    {'hecke_orbit_code': 4505386367320868, 'n': 46, 'trace_an': 0}
  • id: 97201046
    {'hecke_orbit_code': 4505386367320868, 'n': 47, 'trace_an': 0}
  • id: 97201047
    {'hecke_orbit_code': 4505386367320868, 'n': 48, 'trace_an': 0}
  • id: 97201048
    {'hecke_orbit_code': 4505386367320868, 'n': 49, 'trace_an': -18}
  • id: 97201049
    {'hecke_orbit_code': 4505386367320868, 'n': 50, 'trace_an': 0}
  • id: 97201050
    {'hecke_orbit_code': 4505386367320868, 'n': 51, 'trace_an': -6}
  • id: 97201051
    {'hecke_orbit_code': 4505386367320868, 'n': 52, 'trace_an': 0}
  • id: 97201052
    {'hecke_orbit_code': 4505386367320868, 'n': 53, 'trace_an': 0}
  • id: 97201053
    {'hecke_orbit_code': 4505386367320868, 'n': 54, 'trace_an': 0}
  • id: 97201054
    {'hecke_orbit_code': 4505386367320868, 'n': 55, 'trace_an': 126}
  • id: 97201055
    {'hecke_orbit_code': 4505386367320868, 'n': 56, 'trace_an': 0}
  • id: 97201056
    {'hecke_orbit_code': 4505386367320868, 'n': 57, 'trace_an': -183}
  • id: 97201057
    {'hecke_orbit_code': 4505386367320868, 'n': 58, 'trace_an': 0}
  • id: 97201058
    {'hecke_orbit_code': 4505386367320868, 'n': 59, 'trace_an': 0}
  • id: 97201059
    {'hecke_orbit_code': 4505386367320868, 'n': 60, 'trace_an': 0}
  • id: 97201060
    {'hecke_orbit_code': 4505386367320868, 'n': 61, 'trace_an': -56}
  • id: 97201061
    {'hecke_orbit_code': 4505386367320868, 'n': 62, 'trace_an': 0}
  • id: 97201062
    {'hecke_orbit_code': 4505386367320868, 'n': 63, 'trace_an': -141}
  • id: 97201063
    {'hecke_orbit_code': 4505386367320868, 'n': 64, 'trace_an': 0}
  • id: 97201064
    {'hecke_orbit_code': 4505386367320868, 'n': 65, 'trace_an': 0}
  • id: 97201065
    {'hecke_orbit_code': 4505386367320868, 'n': 66, 'trace_an': 0}
  • id: 97201066
    {'hecke_orbit_code': 4505386367320868, 'n': 67, 'trace_an': -12}
  • id: 97201067
    {'hecke_orbit_code': 4505386367320868, 'n': 68, 'trace_an': 0}
  • id: 97201068
    {'hecke_orbit_code': 4505386367320868, 'n': 69, 'trace_an': 33}
  • id: 97201069
    {'hecke_orbit_code': 4505386367320868, 'n': 70, 'trace_an': 0}
  • id: 97201070
    {'hecke_orbit_code': 4505386367320868, 'n': 71, 'trace_an': 0}
  • id: 97201071
    {'hecke_orbit_code': 4505386367320868, 'n': 72, 'trace_an': 0}
  • id: 97201072
    {'hecke_orbit_code': 4505386367320868, 'n': 73, 'trace_an': 356}
  • id: 97201073
    {'hecke_orbit_code': 4505386367320868, 'n': 74, 'trace_an': 0}
  • id: 97201074
    {'hecke_orbit_code': 4505386367320868, 'n': 75, 'trace_an': 165}
  • id: 97201075
    {'hecke_orbit_code': 4505386367320868, 'n': 76, 'trace_an': 0}
  • id: 97201076
    {'hecke_orbit_code': 4505386367320868, 'n': 77, 'trace_an': 0}
  • id: 97201077
    {'hecke_orbit_code': 4505386367320868, 'n': 78, 'trace_an': 0}
  • id: 97201078
    {'hecke_orbit_code': 4505386367320868, 'n': 79, 'trace_an': 228}
  • id: 97201079
    {'hecke_orbit_code': 4505386367320868, 'n': 80, 'trace_an': 0}
  • id: 97201080
    {'hecke_orbit_code': 4505386367320868, 'n': 81, 'trace_an': 24}
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  • id: 97201084
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  • id: 97201086
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  • id: 97201087
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  • id: 97201088
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  • id: 97201090
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  • id: 97201094
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  • id: 97201095
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  • id: 97201096
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  • id: 97201098
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  • id: 97201099
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  • id: 97201102
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  • id: 97201122
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  • id: 97201126
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  • id: 97201128
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  • id: 97201152
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  • id: 97201156
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  • id: 97201164
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  • id: 97201168
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  • id: 97201170
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  • id: 97201172
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  • id: 97201176
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  • id: 97201177
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  • id: 97201178
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  • id: 97201180
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  • id: 97201181
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  • id: 97201182
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  • id: 97201183
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  • id: 97201186
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  • id: 97201187
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  • id: 97201188
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  • id: 97201189
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  • id: 97201190
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  • id: 97201191
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  • id: 97201192
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  • id: 97201193
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  • id: 97201194
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  • id: 97201195
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  • id: 97201196
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  • id: 97201197
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  • id: 97201198
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  • id: 97201200
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  • id: 97201204
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  • id: 97201205
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  • id: 97201206
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  • id: 97201207
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  • id: 97201208
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  • id: 97201210
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  • id: 97201211
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  • id: 97201212
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  • id: 97201213
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  • id: 97201214
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  • id: 97201216
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  • id: 97201217
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  • id: 97201218
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  • id: 97201219
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  • id: 97201220
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  • id: 97201221
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  • id: 97201222
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  • id: 97201223
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  • id: 97201224
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  • id: 97201225
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  • id: 97201226
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  • id: 97201227
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  • id: 97201228
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  • id: 97201229
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  • id: 97201230
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  • id: 97201231
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  • id: 97201232
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  • id: 97201233
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  • id: 97201234
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  • id: 97201235
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  • id: 97201236
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  • id: 97201237
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  • id: 97201238
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  • id: 97201240
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  • id: 97201241
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  • id: 97201242
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  • id: 97201248
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  • id: 97201272
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  • id: 97201278
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  • id: 97201283
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  • id: 97201829
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  • id: 97201830
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  • id: 97201884
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  • id: 97201885
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  • id: 97201890
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  • id: 97201896
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  • id: 97201899
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  • id: 97201900
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  • id: 97201901
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  • id: 97201902
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  • id: 97201903
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  • id: 97201904
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  • id: 97201906
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  • id: 97201907
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  • id: 97201908
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  • id: 97201909
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  • id: 97201910
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  • id: 97201911
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  • id: 97201912
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  • id: 97201913
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  • id: 97201914
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  • id: 97201915
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  • id: 97201916
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  • id: 97201918
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  • id: 97201919
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  • id: 97201920
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  • id: 97201921
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  • id: 97201922
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  • id: 97201923
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  • id: 97201924
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  • id: 97201925
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  • id: 97201926
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  • id: 97201927
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  • id: 97201928
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  • id: 97201929
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  • id: 97201930
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  • id: 97201931
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  • id: 97201932
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  • id: 97201933
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  • id: 97201934
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  • id: 97201936
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  • id: 97201937
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  • id: 97201938
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  • id: 97201939
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  • id: 97201940
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  • id: 97201942
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  • id: 97201944
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  • id: 97201945
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  • id: 97201946
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  • id: 97201948
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  • id: 97201949
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  • id: 97201950
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  • id: 97201951
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  • id: 97201952
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  • id: 97201954
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  • id: 97201955
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  • id: 97201956
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  • id: 97201957
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  • id: 97201958
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  • id: 97201960
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  • id: 97201968
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  • id: 97201990
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  • id: 97201991
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  • id: 97201992
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