Embedded newform data - 378.5.b.b.323.3

Formats: - HTML - YAML - JSON - 2024-04-25T15:53:52.767468

• 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': 9450, 'analytic_conductor': 39.07384604569315, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 3, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [378, 2, [29, 325], [1, 2]], 'cm_discs': [], 'conrey_index': 323, 'conrey_indexes': [323], 'dim': 8, 'field_disc': 7485012718977024, 'field_disc_factorization': [[2, 16], [3, 2], [7, 4], [11, 4], [19, 2]], 'field_poly': [142884, 0, 37548, 0, 2949, 0, 92, 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': [[5, [278692135569, 0, 1761033888, 0, 3711634, 0, 3232, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503668430733690, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 4064256, 'hecke_ring_index_factorization': [[2, 10], [3, 4], [7, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '378.5.b.b', 'level': 378, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '378.5.b.b', 'prim_orbit_index': 2, 'qexp_display': 'q-\\beta _{1}q^{2}-8q^{4}+(-\\beta _{1}-\\beta _{2})q^{5}+\\beta _{3}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '4.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '378.5.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1388688754861410660, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.091', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.039', 'prec': 17}, {'__RealLiteral__': 0, 'data': '269.741', 'prec': 24}, {'__RealLiteral__': 0, 'data': '33.784', 'prec': 20}, {'__RealLiteral__': 0, 'data': '14818.268', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.510', 'prec': 17}, 'traces': [8, 0, 0, -64, 0, 0, 0, 0, 0, -32, 0, 0, 296, 0, 0, 512, 0, 0, -80, 0, 0, 800, 0, 0, -1464, 0, 0, 0, 0, 0, -1024, 0, 0, 896, 0, 0, 904, 0, 0, 256, 0, 0, -3224, 0, 0, -4384, 0, 0, 2744, 0, 0, -2368, 0, 0, 8312, 0, 0, 2944, 0, 0, 128, 0, 0, -4096, 0, 0, -10152, 0, 0, 1568, 0, 0, 10632, 0, 0, 640, 0, 0, -4072, 0, 0, -3552, 0, 0, 13448, 0, 0, -6400, 0, 0, -6664, 0, 0, -384, 0, 0, 35616, 0, 0, 11712, 0, 0, -33824, 0, 0, 22080, 0, 0, -33984, 0, 0, 0, 0, 0, -47224, 0, 0, 832, 0, 0, 54120, 0, 0, 8192, 0, 0, 18728, 0, 0, -11328, 0, 0, -34104, 0, 0, -7168, 0, 0, 22896, 0, 0, 19616, 0, 0, -66872, 0, 0, -7232, 0, 0, -3024, 0, 0, -10976, 0, 0, -72920, 0, 0, -2048, 0, 0, 176200, 0, 0, -44224, 0, 0, 115448, 0, 0, 25792, 0, 0, -37240, 0, 0, -73056, 0, 0, -79408, 0, 0, 35072, 0, 0, 7096, 0, 0, -25504, 0, 0, 77536, 0, 0, -21952, 0, 0, -57272, 0, 0, 115072, 0, 0, 111648, 0, 0, 18944, 0, 0, -45728, 0, 0, -91200, 0, 0, -37240, 0, 0, -66496, 0, 0, 155704, 0, 0, 207232, 0, 0, -223152, 0, 0, -23552, 0, 0, -188280, 0, 0, -15680, 0, 0, -315032, 0, 0, -1024, 0, 0, 396664, 0, 0, -29088, 0, 0, 144304, 0, 0, 32768, 0, 0, -138768, 0, 0, -168512, 0, 0, 243744, 0, 0, 81216, 0, 0, -189280, 0, 0, -151424, 0, 0, -198872, 0, 0, -12544, 0, 0, -222768, 0, 0, 379392, 0, 0, 582648, 0, 0, -85056, 0, 0, 111784, 0, 0, -93312, 0, 0, -78792, 0, 0, -5120, 0, 0, 16464, 0, 0, 286944, 0, 0, -361656, 0, 0, 32576, 0, 0, -174568, 0, 0, -1568, 0, 0, -280528, 0, 0, 28416, 0, 0, 331936, 0, 0, -47552, 0, 0, 340184, 0, 0, -107584, 0, 0, 0, 0, 0, -102752, 0, 0, 425280, 0, 0, 51200, 0, 0, -619120, 0, 0, -259584, 0, 0, -301104, 0, 0, 53312, 0, 0, 360232, 0, 0, -76576, 0, 0, 146736, 0, 0, 3072, 0, 0, 1056312, 0, 0, -396960, 0, 0, -257936, 0, 0, -284928, 0, 0, 105400, 0, 0, 108608, 0, 0, -525424, 0, 0, -93696, 0, 0, 14536, 0, 0, 147392, 0, 0, 108616, 0, 0, 270592, 0, 0, 349160, 0, 0, 451552, 0, 0, 102872, 0, 0, -176640, 0, 0, -325360, 0, 0, -266560, 0, 0, -621128, 0, 0, 271872, 0, 0, -770320, 0, 0, -232896, 0, 0, 29424, 0, 0, 0, 0, 0, -460488, 0, 0, 436608, 0, 0, -242424, 0, 0, 377792, 0, 0, 62352, 0, 0, 241664, 0, 0, 91336, 0, 0, -6656, 0, 0, 160680, 0, 0, 877824, 0, 0, 53656, 0, 0, -432960, 0, 0, -254120, 0, 0, -10976, 0, 0, 448976, 0, 0, -65536, 0, 0, -644808, 0, 0, 74112, 0, 0, 1261096, 0, 0, -149824, 0, 0, -409640, 0, 0, -852192, 0, 0, 686232, 0, 0, 90624, 0, 0, 748456, 0, 0, -1250784, 0, 0, 1577160, 0, 0, 272832, 0, 0, 333048, 0, 0, 596128, 0, 0, 335432, 0, 0, 57344, 0, 0, -480256, 0, 0, -320576, 0, 0, -140728, 0, 0, -183168, 0, 0, -3374720, 0, 0, -266368, 0, 0, -830624, 0, 0, -156928, 0, 0, 1323392, 0, 0, 230496, 0, 0, 334368, 0, 0, 534976, 0, 0, -1466160, 0, 0, 1625664, 0, 0, 435064, 0, 0, 57856, 0, 0, 319480, 0, 0, -519552, 0, 0, 215560, 0, 0, 24192, 0, 0, 473648, 0, 0, -2606784, 0, 0, -1043008, 0, 0, 87808, 0, 0, 1828440, 0, 0, 38656, 0, 0, -2949888, 0, 0, 583360, 0, 0, 1719832, 0, 0, 183936, 0, 0, 101528, 0, 0, 16384, 0, 0, -14288, 0, 0, -118208, 0, 0, 2118248, 0, 0, -1409600, 0, 0, 1898728, 0, 0, 1025472, 0, 0, 810264, 0, 0, 353792, 0, 0, 76760, 0, 0, 2152000, 0, 0, -114800, 0, 0, -923584, 0, 0, -276752, 0, 0, -295584, 0, 0, -5224328, 0, 0, -206336, 0, 0, -1757648, 0, 0, -1713312, 0, 0, 444840, 0, 0, 297920, 0, 0, 1398848, 0, 0, 1573536, 0, 0, -3603536, 0, 0, 584448, 0, 0, 2593992, 0, 0, 616192, 0, 0, 346920, 0, 0, 635264, 0, 0, 1160928, 0, 0, -42176, 0, 0, -1866664, 0, 0, -280576, 0, 0, -146416, 0, 0, 423360, 0, 0, 3067872, 0, 0, -56768, 0, 0, -3323128, 0, 0, 1905216, 0, 0, 3671312, 0, 0, 204032, 0, 0, -343784, 0, 0, -1224448, 0, 0, -2251512, 0, 0, -620288, 0, 0, 730808, 0, 0, -4091840, 0, 0, 1267288, 0, 0, 175616, 0, 0, 2586224, 0, 0, 2983488, 0, 0, 465424, 0, 0, 458176, 0, 0, 913680, 0, 0, -1814208, 0, 0, 106624, 0, 0, -920576, 0, 0, -5741448, 0, 0, 322336, 0, 0, -2435272, 0, 0, -893184, 0, 0, 2254656, 0, 0, 1135232, 0, 0, 4373112, 0, 0, -151552, 0, 0, -6241328, 0, 0, 2178432, 0, 0, 2070072, 0, 0, 365824, 0, 0, 1089368, 0, 0, 352960, 0, 0, 2228128, 0, 0, 729600, 0, 0, -1411712, 0, 0, -4681632, 0, 0, -1416056, 0, 0, 297920, 0, 0, 2621248, 0, 0, -297824, 0, 0, -5167680, 0, 0, 531968, 0, 0, 2530240, 0, 0, -1825312, 0, 0, -1302616, 0, 0, -1245632, 0, 0, 137256, 0, 0, -421568, 0, 0, 606288, 0, 0, -1657856, 0, 0, 2452832, 0, 0, 2257920, 0, 0, 2667880, 0, 0, 1785216, 0, 0, -1156368, 0, 0, 3303520, 0, 0, 2034648, 0, 0, 188416, 0, 0, -27440, 0, 0, -2366912, 0, 0, -6774272, 0, 0, 1506240, 0, 0, 1172616, 0, 0, -3219584, 0, 0, 4835008, 0, 0, 125440, 0, 0, 738936, 0, 0, 1886720, 0, 0, -4926928, 0, 0, 2520256, 0, 0, 1654864, 0, 0, -1086272, 0, 0, 165424, 0, 0, 8192, 0, 0, -2034552, 0, 0, 3898848, 0, 0, -2795824, 0, 0, -3173312, 0, 0, 215224, 0, 0, 976864, 0, 0, 5044048, 0, 0, 232704], 'weight': 5, 'weight_parity': -1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.0, -0.7071067811865476], [0.0, 0.0], [-0.5, 0.0], [0.0, 0.7146956655615937], [0.0, 0.0], [-0.37796447300922725, 0.0], [0.0, 0.3535533905932738], [0.0, 0.0], [0.5053661516032357, 0.0], [0.0, -0.3753174511347815], [0.0, 0.0], [-0.9197169773842309, 0.0], [0.0, 0.2672612419124244], [0.0, 0.0], [0.25, 0.0], [0.0, 0.39759556471861235], [0.0, 0.0], [-0.04772736122829275, 0.0], [0.0, -0.35734783278079685], [0.0, 0.0], [-0.2653895147950547, 0.0], [0.0, 0.10414806658758925], [0.0, 0.0], [0.4892101056274707, 0.0], [0.0, 0.6503381114807842], [0.0, 0.0], [0.18898223650461363, 0.0], [0.0, -0.6883890001160803], [0.0, 0.0], [0.5349262195407156, 0.0], [0.0, -0.1767766952966369], [0.0, 0.0], [0.2811425199822256, 0.0], [0.0, -0.27012957059596665], [0.0, 0.0], [0.9401065782197942, 0.0], [0.0, 0.03374834077266572], [0.0, 0.0], [-0.25268307580161786, 0.0], [0.0, -1.2800050015735476], [0.0, 0.0], [1.2707342602611438, 0.0], [0.0, 0.18765872556739074], [0.0, 0.0], [0.07364380413155246, 0.0], [0.0, -0.8898409585085579], [0.0, 0.0], [0.14285714285714285, 0.0], [0.0, -0.3459237831141717], [0.0, 0.0], [0.45985848869211543, 0.0], [0.0, -1.160399654035919], [0.0, 0.0], [0.26823775553565354, 0.0], [0.0, -0.1336306209562122], [0.0, 0.0], [-0.48676453007630743, 0.0], [0.0, 0.07932812148423973], [0.0, 0.0], [-0.1179651460102813, 0.0], [0.0, -0.3782499572717239], [0.0, 0.0], [-0.125, 0.0], [0.0, -0.65731773727992], [0.0, 0.0], [-0.3925028635803012, 0.0], [0.0, -0.19879778235930617], [0.0, 0.0], [-0.19101045116741824, 0.0], [0.0, 0.2734090665751769], [0.0, 0.0], [0.35147654088264685, 0.0], [0.0, -0.6647557364972979], [0.0, 0.0], [0.023863680614146374, 0.0], [0.0, 0.1418566626293241], [0.0, 0.0], [0.7347239042482194, 0.0], [0.0, 0.17867391639039842], [0.0, 0.0], [-0.9051002165653529, 0.0], [0.0, -1.0245796495345798], [0.0, 0.0], [-0.28415982675090634, 0.0], [0.0, -0.8985448125167259], [0.0, 0.0], [0.13269475739752734, 0.0], [0.0, -0.9011500988335557], [0.0, 0.0], [0.3476203426746702, 0.0], [0.0, -0.052074033293794626], [0.0, 0.0], [-0.6292125759389385, 0.0], [0.0, -0.03411053819855329], [0.0, 0.0], [-0.1178672951740151, 0.0], [0.0, -0.10101525445522108], [0.0, 0.0], [-0.24460505281373535, 0.0], [0.0, -1.5220534373162142], [0.0, 0.0], [-1.6136175337764573, 0.0], [0.0, -0.3251690557403921], [0.0, 0.0], [-0.8205264642553219, 0.0], [0.0, 0.35692392876551604], [0.0, 0.0], [0.810615969312416, 0.0], [0.0, -0.18967273590952002], [0.0, 0.0], [-0.09449111825230681, 0.0], [0.0, 0.4265767999400703], [0.0, 0.0], [-0.07443417176677028, 0.0], [0.0, 0.34419450005804014], [0.0, 0.0], [0.056093452640296165, 0.0], [0.0, -0.15027699808967643], [0.0, 0.0], [0.8591368108736909, 0.0], [0.0, 0.0834139546875311], [0.0, 0.0], [-0.2674631097703578, 0.0], [0.0, 1.0643320076024763], [0.0, 0.0], [0.22415979042560585, 0.0], [0.0, 0.08838834764831845], [0.0, 0.0], [-0.464793829424829, 0.0], [0.0, -0.7925840417079363], [0.0, 0.0], [0.018039246934772695, 0.0], [0.0, 0.27754143647276935], [0.0, 0.0], [-0.1405712599911128, 0.0], [0.0, -0.07762684283751597], [0.0, 0.0], [-0.14924349475743465, 0.0], [0.0, 0.13506478529798333], [0.0, 0.0], [0.1933294050131918, 0.0], [0.0, 0.34518583171723505], [0.0, 0.0], [0.49198863460324194, 0.0], [0.0, -0.2485314454861104], [0.0, 0.0], [-0.4700532891098971, 0.0], [0.0, -1.8088593145543401], [0.0, 0.0], [-0.173410129207027, 0.0], [0.0, -0.01687417038633286], [0.0, 0.0], [0.10030780810168735, 0.0], [0.0, 0.3823094505009989], [0.0, 0.0], [0.6277221741419337, 0.0], [0.0, -0.5195282549937715], [0.0, 0.0], [0.12634153790080893, 0.0], [0.0, -0.03936426910270808], [0.0, 0.0], [1.4074755834701096, 0.0], [0.0, 0.6400025007867738], [0.0, 0.0], [-0.7244872180516377, 0.0], [0.0, 0.19421227663418186], [0.0, 0.0], [-0.15412068151121408, 0.0], [0.0, 0.20093134043636038], [0.0, 0.0], [-0.6353671301305719, 0.0], [0.0, -0.47319413606531285], [0.0, 0.0], [-0.18490403976427533, 0.0], [0.0, -0.09382936278369537], [0.0, 0.0], 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-0.20690732582193375, -0.1721173452736954, -0.3894666500634052, -0.14042439126818326, -0.4266159689875939, -0.40148722601691156, 0.006314387740976365, -0.25939281961008315, -0.2814384389685428, 0.02182554543530069, -0.22188437850449205, -0.1901305173486177, -0.4143986818217518, -0.4256094874702053, -0.25938501931900665, -0.36234779186414656, -0.3994036135624771, 0.028556073293092305, -0.18358214310655335, 0.03420869678149922, -0.23212437126549404, -0.43514839309734754, -0.49382110006025925, -0.26188746978814165, -0.3201483980537207, -0.26381688866891223, -0.1991886879115542, -0.12575649401429712, 0.015479314526510565, -0.46198393560329376, 0.0405404472044709, -0.183623766155483, 0.004690532194884688, -0.19247315969754158, 0.1498282468409242, -0.337456242514883, -0.13185643558236684, -0.1571904950693732, 0.0368667386863767, -0.27801227847837734, 0.11409708217395427, 0.0623608727376703, -0.23291308727558876, 0.1075208886780732, -0.4648828704253977, -0.4215749050491094, 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-0.1531495192872983, -0.4626331219644824, -0.21702886403128357, 0.006947336591020686, -0.12053440799753834, -0.3998798240320233, -0.20302174225459213, -0.46240772556140736, -0.3293644385929183, 0.19527792093375196, -0.36712660267205366, -0.46204625320822057, -0.42036747436791516, -0.4505099259821651, -0.3262767576605395, -0.3221935766761231, -0.39075189726508935, -0.383861299905314, -0.3585364559948715, -0.2731936576933273], 'char_orbit_index': 2, 'conrey_index': 323, 'dual_conrey_index': 323, 'dual_embedding_index': 6, 'dual_embedding_m': 6, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': -2.5482426940777203, 'embedding_root_real': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503668430733690, 'label': '378.5.b.b.323.3', 'level': 378, 'weight': 5}
• 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': 9450, 'analytic_conductor': 39.07384604569315, 'char_conductor': 3, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [378, 2, [29, 325], [1, 2]], 'conrey_index': 323, 'cusp_dim': 276, 'dim': 32, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 68803363194, 'hecke_orbit_dims': [8, 8, 16], 'label': '378.5.b', 'level': 378, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 300, 'mf_new_dim': 32, 'num_forms': 3, 'prim_orbit_index': 2, 'relative_dim': 32, 'sturm_bound': 360, 'trace_bound': 10, 'trace_display': [0, 0, 0, 0], 'traces': [32, 0, 0, -256, 0, 0, 0, 0, 0, -512, 0, 0, 440, 0, 0, 2048, 0, 0, 520, 0, 0, 320, 0, 0, -2808, 0, 0, 0, 0, 0, 440, 0, 0, -6784, 0, 0, 40, 0, 0, 4096, 0, 0, -4496, 0, 0, 896, 0, 0, 10976, 0, 0, -3520, 0, 0, 584, 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361664, 0, 0, -2613856, 0, 0, -75968, 0, 0, 11819256, 0, 0, 1473280, 0, 0, 646368, 0, 0, -121856, 0, 0, -4514008, 0, 0, -150528, 0, 0, 2942104, 0, 0, -2523648, 0, 0, 6997704, 0, 0, 982144, 0, 0, -4874592, 0, 0, 1368064, 0, 0, 178360, 0, 0, -6655616, 0, 0, -5323736, 0, 0, 1488192, 0, 0, 5166576, 0, 0, -2541056, 0, 0, 3211360, 0, 0, 727552, 0, 0, -5823696, 0, 0, 5022464, 0, 0, -1065688, 0, 0, 1722304, 0, 0, 2491600, 0, 0, -2077568, 0, 0, 3400600, 0, 0, 510464, 0, 0, -625968, 0, 0, 5491008, 0, 0, 3416024, 0, 0, 339712, 0, 0, -588488, 0, 0, -2659328, 0, 0, 6925768, 0, 0, -2214912], 'weight': 5, '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: 34595100
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4503668430733690, 'source_is_minimal': True, 'source_label': '378.5.b.b.323.3', 'source_level': 378, 'target_conrey_index': 323, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503668430733690, 'target_is_minimal': True, 'target_label': '378.5.b.b.323.3', 'target_level': 378, 'twist_class_label': '378.5.b.b.323.3', 'twist_class_level': 378, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 5}
  • id: 34595101
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4503668430733690, 'source_is_minimal': True, 'source_label': '378.5.b.b.323.3', 'source_level': 378, 'target_conrey_index': 323, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 4503668430733690, 'target_is_minimal': True, 'target_label': '378.5.b.b.323.6', 'target_level': 378, 'twist_class_label': '378.5.b.b.323.3', 'twist_class_level': 378, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 5}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 800175
    {'charpoly_factorization': [[[8, 0, 1], 4]], 'hecke_orbit_code': 4503668430733690, 'p': 2}
  • id: 800176
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4503668430733690, 'p': 3}
  • id: 800177
    {'charpoly_factorization': [[[278692135569, 0, 1761033888, 0, 3711634, 0, 3232, 0, 1], 1]], 'hecke_orbit_code': 4503668430733690, 'p': 5}
  • id: 800178
    {'charpoly_factorization': [[[-343, 0, 1], 4]], 'hecke_orbit_code': 4503668430733690, 'p': 7}
  • id: 800179
    {'charpoly_factorization': [[[7401278039841, 0, 65157312528, 0, 90572962, 0, 31504, 0, 1], 1]], 'hecke_orbit_code': 4503668430733690, 'p': 11}
  • id: 800180
    {'charpoly_factorization': [[[1130516676, 2941656, -75032, -148, 1], 2]], 'hecke_orbit_code': 4503668430733690, 'p': 13}
  • id: 800181
    {'charpoly_factorization': [[[3963155249331216, 0, 3455708698656, 0, 629242648, 0, 42760, 0, 1], 1]], 'hecke_orbit_code': 4503668430733690, 'p': 17}
  • id: 800182
    {'charpoly_factorization': [[[-274761143, -19133816, -184566, 40, 1], 2]], 'hecke_orbit_code': 4503668430733690, 'p': 19}
  • id: 800183
    {'charpoly_factorization': [[[44378016052775409, 0, 94404388306464, 0, 27279536626, 0, 330784, 0, 1], 1]], 'hecke_orbit_code': 4503668430733690, 'p': 23}
  • id: 800184
    {'charpoly_factorization': [[[404416353839266023696, 0, 32055489620556192, 0, 581021555416, 0, 1794088, 0, 1], 1]], 'hecke_orbit_code': 4503668430733690, 'p': 29}
  • id: 800185
    {'charpoly_factorization': [[[21940230321, -64900224, -484238, 512, 1], 2]], 'hecke_orbit_code': 4503668430733690, 'p': 31}
  • id: 800186
    {'charpoly_factorization': [[[685159025593, 345825004, -1757010, -452, 1], 2]], 'hecke_orbit_code': 4503668430733690, 'p': 37}
  • id: 800187
    {'charpoly_factorization': [[[59668331926577406660369, 0, 903942883785485376, 0, 4147821612306, 0, 5484096, 0, 1], 1]], 'hecke_orbit_code': 4503668430733690, 'p': 41}
  • id: 800188
    {'charpoly_factorization': [[[19781954641348, -8152965608, -9421464, 1612, 1], 2]], 'hecke_orbit_code': 4503668430733690, 'p': 43}
  • id: 800189
    {'charpoly_factorization': [[[1072231093128868415987932944, 0, 819268776514397439648, 0, 221933903861592, 0, 25013736, 0, 1], 1]], 'hecke_orbit_code': 4503668430733690, 'p': 47}
  • id: 800190
    {'charpoly_factorization': [[[1624655264513419138254061824, 0, 1180680130743871011840, 0, 290177443093536, 0, 28831680, 0, 1], 1]], 'hecke_orbit_code': 4503668430733690, 'p': 53}
  • id: 800191
    {'charpoly_factorization': [[[65818251328922993098719504, 0, 963054654643350216288, 0, 1315723094468824, 0, 72276952, 0, 1], 1]], 'hecke_orbit_code': 4503668430733690, 'p': 59}
  • id: 800192
    {'charpoly_factorization': [[[37203857115408, 67799682816, -38852024, -64, 1], 2]], 'hecke_orbit_code': 4503668430733690, 'p': 61}
  • id: 800193
    {'charpoly_factorization': [[[-106304126923004, -108628404120, -21570872, 5076, 1], 2]], 'hecke_orbit_code': 4503668430733690, 'p': 67}
  • id: 800194
    {'charpoly_factorization': [[[874556514513027302685165441, 0, 1597682788557962906448, 0, 692713166269186, 0, 51389008, 0, 1], 1]], 'hecke_orbit_code': 4503668430733690, 'p': 71}
  • id: 800195
    {'charpoly_factorization': [[[-33552318651836, 57190653816, -14521208, -5316, 1], 2]], 'hecke_orbit_code': 4503668430733690, 'p': 73}
  • id: 800196
    {'charpoly_factorization': [[[451461470055876, -26114617368, -46138328, 2036, 1], 2]], 'hecke_orbit_code': 4503668430733690, 'p': 79}
  • id: 800197
    {'charpoly_factorization': [[[230042492937348955044013768464, 0, 346910986904894253182304, 0, 15096139312503640, 0, 214925080, 0, 1], 1]], 'hecke_orbit_code': 4503668430733690, 'p': 83}
  • id: 800198
    {'charpoly_factorization': [[[55594860972824478729927793761, 0, 55816351639025586717456, 0, 5455749383390178, 0, 136948752, 0, 1], 1]], 'hecke_orbit_code': 4503668430733690, 'p': 89}
  • id: 800199
    {'charpoly_factorization': [[[47506778460304, 118184369856, 46961704, -17808, 1], 2]], 'hecke_orbit_code': 4503668430733690, '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': 2, 'hecke_orbit': 2, 'label': '378.5.b.b', 'level': 378, 'portrait': 'data:image/png;base64,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', 'weight': 5}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 79902000
    {'hecke_orbit_code': 4503668430733690, 'n': 1, 'trace_an': 8}
  • id: 79902001
    {'hecke_orbit_code': 4503668430733690, 'n': 2, 'trace_an': 0}
  • id: 79902002
    {'hecke_orbit_code': 4503668430733690, 'n': 3, 'trace_an': 0}
  • id: 79902003
    {'hecke_orbit_code': 4503668430733690, 'n': 4, 'trace_an': -64}
  • id: 79902004
    {'hecke_orbit_code': 4503668430733690, 'n': 5, 'trace_an': 0}
  • id: 79902005
    {'hecke_orbit_code': 4503668430733690, 'n': 6, 'trace_an': 0}
  • id: 79902006
    {'hecke_orbit_code': 4503668430733690, 'n': 7, 'trace_an': 0}
  • id: 79902007
    {'hecke_orbit_code': 4503668430733690, 'n': 8, 'trace_an': 0}
  • id: 79902008
    {'hecke_orbit_code': 4503668430733690, 'n': 9, 'trace_an': 0}
  • id: 79902009
    {'hecke_orbit_code': 4503668430733690, 'n': 10, 'trace_an': -32}
  • id: 79902010
    {'hecke_orbit_code': 4503668430733690, 'n': 11, 'trace_an': 0}
  • id: 79902011
    {'hecke_orbit_code': 4503668430733690, 'n': 12, 'trace_an': 0}
  • id: 79902012
    {'hecke_orbit_code': 4503668430733690, 'n': 13, 'trace_an': 296}
  • id: 79902013
    {'hecke_orbit_code': 4503668430733690, 'n': 14, 'trace_an': 0}
  • id: 79902014
    {'hecke_orbit_code': 4503668430733690, 'n': 15, 'trace_an': 0}
  • id: 79902015
    {'hecke_orbit_code': 4503668430733690, 'n': 16, 'trace_an': 512}
  • id: 79902016
    {'hecke_orbit_code': 4503668430733690, 'n': 17, 'trace_an': 0}
  • id: 79902017
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  • id: 79902018
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  • id: 79902019
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  • id: 79902020
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  • id: 79902021
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  • id: 79902022
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  • id: 79902023
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  • id: 79902024
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  • id: 79902025
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  • id: 79902026
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  • id: 79902027
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  • id: 79902028
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  • id: 79902029
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  • id: 79902030
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  • id: 79902031
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  • id: 79902032
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  • id: 79902033
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  • id: 79902034
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  • id: 79902035
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  • id: 79902036
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  • id: 79902037
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  • id: 79902038
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  • id: 79902039
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  • id: 79902040
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  • id: 79902041
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  • id: 79902042
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  • id: 79902043
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  • id: 79902044
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  • id: 79902045
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  • id: 79902046
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  • id: 79902047
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  • id: 79902048
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  • id: 79902049
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  • id: 79902050
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  • id: 79902051
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  • id: 79902052
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  • id: 79902053
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  • id: 79902054
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  • id: 79902055
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  • id: 79902056
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  • id: 79902057
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  • id: 79902058
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  • id: 79902059
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  • id: 79902060
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  • id: 79902061
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  • id: 79902062
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  • id: 79902063
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  • id: 79902064
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  • id: 79902065
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  • id: 79902066
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  • id: 79902067
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  • id: 79902068
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  • id: 79902069
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  • id: 79902070
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  • id: 79902071
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  • id: 79902072
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  • id: 79902073
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  • id: 79902074
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  • id: 79902075
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  • id: 79902076
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  • id: 79902077
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  • id: 79902078
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  • id: 79902079
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  • id: 79902080
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  • id: 79902081
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  • id: 79902082
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  • id: 79902083
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  • id: 79902084
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  • id: 79902085
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  • id: 79902086
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  • id: 79902087
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  • id: 79902088
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  • id: 79902089
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  • id: 79902090
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  • id: 79902091
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  • id: 79902092
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  • id: 79902093
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  • id: 79902094
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  • id: 79902095
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  • id: 79902096
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  • id: 79902097
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  • id: 79902098
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  • id: 79902099
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  • id: 79902100
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  • id: 79902101
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  • id: 79902102
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  • id: 79902103
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  • id: 79902104
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  • id: 79902105
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  • id: 79902106
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  • id: 79902107
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  • id: 79902108
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  • id: 79902109
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  • id: 79902110
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  • id: 79902111
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  • id: 79902112
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  • id: 79902113
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  • id: 79902114
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  • id: 79902115
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  • id: 79902116
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  • id: 79902117
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  • id: 79902118
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  • id: 79902119
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  • id: 79902120
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  • id: 79902121
    {'hecke_orbit_code': 4503668430733690, 'n': 122, 'trace_an': 0}
  • id: 79902122
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  • id: 79902123
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  • id: 79902124
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  • id: 79902125
    {'hecke_orbit_code': 4503668430733690, 'n': 126, 'trace_an': 0}
  • id: 79902126
    {'hecke_orbit_code': 4503668430733690, 'n': 127, 'trace_an': 18728}
  • id: 79902127
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  • id: 79902128
    {'hecke_orbit_code': 4503668430733690, 'n': 129, 'trace_an': 0}
  • id: 79902129
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  • id: 79902130
    {'hecke_orbit_code': 4503668430733690, 'n': 131, 'trace_an': 0}
  • id: 79902131
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  • id: 79902132
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  • id: 79902133
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  • id: 79902134
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  • id: 79902135
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  • id: 79902136
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  • id: 79902137
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  • id: 79902138
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  • id: 79902139
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  • id: 79902140
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  • id: 79902141
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  • id: 79902142
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  • id: 79902143
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  • id: 79902144
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  • id: 79902145
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  • id: 79902146
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  • id: 79902147
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  • id: 79902148
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  • id: 79902149
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  • id: 79902150
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  • id: 79902151
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  • id: 79902152
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  • id: 79902153
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  • id: 79902154
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  • id: 79902155
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  • id: 79902156
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  • id: 79902157
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  • id: 79902158
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  • id: 79902159
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  • id: 79902160
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  • id: 79902161
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  • id: 79902162
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  • id: 79902163
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  • id: 79902164
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  • id: 79902165
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  • id: 79902166
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  • id: 79902167
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  • id: 79902168
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  • id: 79902169
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  • id: 79902170
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  • id: 79902171
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  • id: 79902172
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  • id: 79902173
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  • id: 79902174
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  • id: 79902175
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  • id: 79902176
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  • id: 79902177
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  • id: 79902178
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  • id: 79902179
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  • id: 79902180
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  • id: 79902181
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  • id: 79902182
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  • id: 79902183
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  • id: 79902184
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  • id: 79902185
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  • id: 79902186
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  • id: 79902187
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  • id: 79902188
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  • id: 79902189
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  • id: 79902190
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  • id: 79902191
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  • id: 79902192
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  • id: 79902193
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  • id: 79902194
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  • id: 79902195
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  • id: 79902196
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  • id: 79902197
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  • id: 79902198
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  • id: 79902199
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  • id: 79902200
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  • id: 79902201
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  • id: 79902202
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  • id: 79902203
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  • id: 79902204
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  • id: 79902205
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  • id: 79902206
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  • id: 79902207
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  • id: 79902208
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  • id: 79902209
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  • id: 79902210
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  • id: 79902211
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  • id: 79902212
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  • id: 79902213
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  • id: 79902214
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  • id: 79902215
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  • id: 79902216
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  • id: 79902217
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  • id: 79902218
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  • id: 79902219
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  • id: 79902220
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  • id: 79902221
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  • id: 79902222
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  • id: 79902223
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  • id: 79902224
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  • id: 79902225
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  • id: 79902226
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  • id: 79902227
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  • id: 79902228
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  • id: 79902229
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  • id: 79902230
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  • id: 79902231
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  • id: 79902232
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  • id: 79902233
    {'hecke_orbit_code': 4503668430733690, 'n': 234, 'trace_an': 0}
  • id: 79902234
    {'hecke_orbit_code': 4503668430733690, 'n': 235, 'trace_an': -188280}
  • id: 79902235
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  • id: 79902236
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  • id: 79902237
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  • id: 79902238
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  • id: 79902239
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  • id: 79902240
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  • id: 79902241
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  • id: 79902242
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  • id: 79902243
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  • id: 79902244
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  • id: 79902245
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  • id: 79902246
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  • id: 79902247
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  • id: 79902248
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  • id: 79902249
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  • id: 79902250
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  • id: 79902251
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  • id: 79902252
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  • id: 79902253
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  • id: 79902254
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  • id: 79902255
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  • id: 79902256
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  • id: 79902257
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  • id: 79902258
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  • id: 79902259
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  • id: 79902260
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  • id: 79902261
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  • id: 79902262
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  • id: 79902263
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  • id: 79902264
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  • id: 79902265
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  • id: 79902266
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  • id: 79902267
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  • id: 79902268
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  • id: 79902269
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  • id: 79902270
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  • id: 79902271
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  • id: 79902272
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  • id: 79902273
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  • id: 79902274
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  • id: 79902275
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  • id: 79902276
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  • id: 79902277
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  • id: 79902278
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  • id: 79902279
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  • id: 79902280
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  • id: 79902281
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  • id: 79902282
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  • id: 79902283
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  • id: 79902284
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  • id: 79902285
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  • id: 79902286
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  • id: 79902287
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  • id: 79902288
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  • id: 79902289
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  • id: 79902290
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  • id: 79902291
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  • id: 79902292
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  • id: 79902293
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  • id: 79902294
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  • id: 79902295
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  • id: 79902296
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  • id: 79902297
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  • id: 79902298
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  • id: 79902299
    {'hecke_orbit_code': 4503668430733690, 'n': 300, 'trace_an': 0}
  • id: 79902300
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  • id: 79902301
    {'hecke_orbit_code': 4503668430733690, 'n': 302, 'trace_an': 0}
  • id: 79902302
    {'hecke_orbit_code': 4503668430733690, 'n': 303, 'trace_an': 0}
  • id: 79902303
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  • id: 79902304
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  • id: 79902305
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  • id: 79902306
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  • id: 79902307
    {'hecke_orbit_code': 4503668430733690, 'n': 308, 'trace_an': 0}
  • id: 79902308
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  • id: 79902309
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  • id: 79902310
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  • id: 79902311
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  • id: 79902312
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  • id: 79902313
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  • id: 79902314
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  • id: 79902315
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  • id: 79902316
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  • id: 79902317
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  • id: 79902318
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  • id: 79902319
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  • id: 79902320
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  • id: 79902321
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  • id: 79902322
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  • id: 79902323
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  • id: 79902324
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  • id: 79902325
    {'hecke_orbit_code': 4503668430733690, 'n': 326, 'trace_an': 0}
  • id: 79902326
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  • id: 79902327
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  • id: 79902328
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  • id: 79902329
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  • id: 79902330
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  • id: 79902331
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  • id: 79902332
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  • id: 79902333
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  • id: 79902334
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  • id: 79902335
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  • id: 79902336
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  • id: 79902337
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  • id: 79902338
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  • id: 79902339
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  • id: 79902340
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  • id: 79902341
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  • id: 79902342
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  • id: 79902343
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  • id: 79902344
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  • id: 79902345
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  • id: 79902346
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  • id: 79902347
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  • id: 79902348
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  • id: 79902349
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  • id: 79902350
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  • id: 79902351
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  • id: 79902352
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  • id: 79902353
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  • id: 79902354
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  • id: 79902355
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  • id: 79902356
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  • id: 79902357
    {'hecke_orbit_code': 4503668430733690, 'n': 358, 'trace_an': -259584}
  • id: 79902358
    {'hecke_orbit_code': 4503668430733690, 'n': 359, 'trace_an': 0}
  • id: 79902359
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  • id: 79902360
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  • id: 79902361
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  • id: 79902362
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  • id: 79902363
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  • id: 79902364
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  • id: 79902365
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  • id: 79902366
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  • id: 79902367
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  • id: 79902368
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  • id: 79902369
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  • id: 79902370
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  • id: 79902371
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  • id: 79902372
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  • id: 79902373
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  • id: 79902374
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  • id: 79902375
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  • id: 79902376
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  • id: 79902377
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  • id: 79902378
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  • id: 79902379
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  • id: 79902380
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  • id: 79902381
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  • id: 79902382
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  • id: 79902383
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  • id: 79902384
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  • id: 79902385
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  • id: 79902386
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  • id: 79902387
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  • id: 79902388
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  • id: 79902389
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  • id: 79902390
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  • id: 79902391
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  • id: 79902392
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  • id: 79902393
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  • id: 79902394
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  • id: 79902395
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  • id: 79902396
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  • id: 79902397
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  • id: 79902398
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  • id: 79902399
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  • id: 79902400
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  • id: 79902401
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  • id: 79902402
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  • id: 79902403
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  • id: 79902404
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  • id: 79902405
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  • id: 79902406
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  • id: 79902407
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  • id: 79902408
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  • id: 79902409
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  • id: 79902410
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  • id: 79902411
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  • id: 79902412
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  • id: 79902413
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  • id: 79902414
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  • id: 79902415
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  • id: 79902416
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  • id: 79902417
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  • id: 79902418
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  • id: 79902419
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  • id: 79902420
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  • id: 79902421
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  • id: 79902422
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  • id: 79902423
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  • id: 79902424
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  • id: 79902425
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  • id: 79902426
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  • id: 79902427
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  • id: 79902428
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  • id: 79902429
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  • id: 79902430
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  • id: 79902431
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  • id: 79902432
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  • id: 79902433
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  • id: 79902434
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  • id: 79902435
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  • id: 79902436
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  • id: 79902437
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  • id: 79902438
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  • id: 79902439
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  • id: 79902440
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  • id: 79902441
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  • id: 79902442
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  • id: 79902443
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  • id: 79902444
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  • id: 79902445
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  • id: 79902446
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  • id: 79902447
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  • id: 79902448
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  • id: 79902449
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  • id: 79902450
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  • id: 79902451
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  • id: 79902452
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  • id: 79902453
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  • id: 79902454
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  • id: 79902455
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  • id: 79902456
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  • id: 79902457
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  • id: 79902458
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  • id: 79902459
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  • id: 79902460
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  • id: 79902461
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  • id: 79902462
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  • id: 79902463
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  • id: 79902464
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  • id: 79902465
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  • id: 79902466
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  • id: 79902467
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  • id: 79902468
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  • id: 79902469
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  • id: 79902470
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  • id: 79902471
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  • id: 79902472
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  • id: 79902473
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  • id: 79902474
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  • id: 79902475
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  • id: 79902476
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  • id: 79902477
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  • id: 79902478
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  • id: 79902479
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  • id: 79902480
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  • id: 79902481
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  • id: 79902482
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  • id: 79902483
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  • id: 79902484
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  • id: 79902485
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  • id: 79902486
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  • id: 79902487
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  • id: 79902488
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  • id: 79902489
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  • id: 79902490
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  • id: 79902491
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  • id: 79902492
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  • id: 79902493
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  • id: 79902494
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  • id: 79902495
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  • id: 79902496
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  • id: 79902497
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  • id: 79902498
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  • id: 79902499
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  • id: 79902500
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  • id: 79902501
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  • id: 79902502
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  • id: 79902503
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  • id: 79902504
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  • id: 79902505
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  • id: 79902506
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  • id: 79902507
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  • id: 79902508
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  • id: 79902509
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  • id: 79902510
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  • id: 79902511
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  • id: 79902512
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  • id: 79902513
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  • id: 79902514
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  • id: 79902515
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  • id: 79902516
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  • id: 79902517
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  • id: 79902518
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  • id: 79902519
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  • id: 79902520
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  • id: 79902521
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  • id: 79902522
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  • id: 79902523
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  • id: 79902524
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  • id: 79902525
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  • id: 79902526
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  • id: 79902527
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  • id: 79902528
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  • id: 79902529
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  • id: 79902530
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  • id: 79902531
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  • id: 79902532
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  • id: 79902533
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  • id: 79902534
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  • id: 79902535
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  • id: 79902536
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  • id: 79902537
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  • id: 79902538
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  • id: 79902539
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  • id: 79902540
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  • id: 79902541
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  • id: 79902542
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  • id: 79902543
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  • id: 79902544
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  • id: 79902545
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  • id: 79902546
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  • id: 79902547
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  • id: 79902548
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  • id: 79902549
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  • id: 79902550
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  • id: 79902551
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  • id: 79902552
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  • id: 79902553
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  • id: 79902554
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  • id: 79902555
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  • id: 79902556
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  • id: 79902557
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  • id: 79902558
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  • id: 79902559
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  • id: 79902560
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  • id: 79902561
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  • id: 79902562
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  • id: 79902563
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  • id: 79902564
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  • id: 79902565
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  • id: 79902566
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  • id: 79902567
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  • id: 79902568
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  • id: 79902569
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  • id: 79902570
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  • id: 79902571
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  • id: 79902572
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  • id: 79902573
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  • id: 79902574
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  • id: 79902575
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  • id: 79902576
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  • id: 79902577
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  • id: 79902578
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  • id: 79902579
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  • id: 79902580
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  • id: 79902581
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  • id: 79902582
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  • id: 79902583
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  • id: 79902584
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  • id: 79902585
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  • id: 79902586
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  • id: 79902587
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  • id: 79902588
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  • id: 79902589
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  • id: 79902590
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  • id: 79902591
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  • id: 79902592
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  • id: 79902593
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  • id: 79902594
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  • id: 79902595
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  • id: 79902596
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  • id: 79902597
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  • id: 79902598
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  • id: 79902601
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  • id: 79902602
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  • id: 79902603
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  • id: 79902604
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  • id: 79902605
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  • id: 79902606
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  • id: 79902607
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  • id: 79902608
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  • id: 79902609
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  • id: 79902610
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  • id: 79902611
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  • id: 79902612
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  • id: 79902613
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  • id: 79902614
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  • id: 79902615
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  • id: 79902616
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