Embedded newform data - 840.2.bj.b.517.37

Formats: - HTML - YAML - JSON - 2025-10-14T01:01:01.465098

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 3360, 'analytic_conductor': 6.707433769787552, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 280, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 36, 'char_orbit_label': 'bj', 'char_order': 4, 'char_parity': 1, 'char_values': [840, 4, [631, 421, 281, 337, 241], [4, 2, 4, 3, 2]], 'cm_discs': [], 'conrey_index': 13, 'dim': 184, 'has_non_self_twist': 1, 'hecke_cutters': [[11, [12322009513984000, 0, 553478067427737600, 0, 6263328483112386560, 0, 23483418386555207680, 0, 46003184216970887168, 0, 56036823151363751936, 0, 46401314122210082816, 0, 27556075615310118912, 0, 12156693151021531136, 0, 4081649120540950528, 0, 1060746942785159168, 0, 215859935185141760, 0, 34653059253727232, 0, 4405833923557376, 0, 443975535289344, 0, 35374839597568, 0, 2215690553344, 0, 108018538240, 0, 4036484352, 0, 112958976, 0, 2283176, 0, 31388, 0, 262, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4506004842611528, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 3, -1, 4, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 35, 6, 1, 4, 0], [1, 1, 40, 9, -1, 4, 0], [1, 1, 56, 8, -1, 2, 0], [1, 1, 280, 19, 1, 4, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '840.2.bj.b', 'level': 840, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 7], 'level_radical': 210, 'minimal_twist': '840.2.bj.b', 'prim_orbit_index': 19, 'related_objects': [], 'relative_dim': 92, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '840.2.bj', 'trace_display': [8, 0, 0, 4], 'traces': [184, 8, 0, 0, 0, 0, 4, 8, 0, 0, 0, 0, 0, 0, -16, 64, 0, 8, 0, 0, 0, 0, 16, 0, -32, 0, 0, -4, 0, 24, 0, -32, 0, 0, 0, -16, 0, 0, 0, 0, 0, -20, 0, 0, 0, -80, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 56, 0, -56, 0, 0, 4, 0, 32, 0, 0, 0, 0, -44, 32, -8, 0, 0, 0, 0, 0, 8, 0, 0, -184, 0, 0, 0, 0, -16, 0, -64, 0, 0, 0, 104, 0, 0, -96, 0, 0, 48, 0, -8, 0, 32, 0, 0, 28, -48, 0, 0, 0, 0, 0, 76, -80, 0, 0, 48, 0, 0, 0, -48, -72, 0, 0, 0, 0, -24, 56, -104, 0, -176, 0, 0, 0, 0, 8, 0, 16, 0, 0, 32, 0, -24, 0, 0, 0, 0, 0, -168, 0, 0, -48, 0, 0, 0, 0, -48, 0, -32, 0, 0, 16, -8, 0, 0, 0, 0, 0, 44, 0, -200, 0, -64, 0, 0, 20, 64, -88, 0, 0, 0, 0, 160, 16, 0, 0, 64, 0, 0, 0, -200, 352, 0, -56, 0, 0, 88, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, -16, 0, 0, 40, 0, 56, 0, 0, 0, 0, 120, -256, 0, 0, 0, 0, 0, 0, -24, -32, 0, 112, 0, 0, 104, 8, 160, 0, 0, 0, 0, 120, 0, 64, 0, -72, 0, 0, 0, -48, 96, 0, 0, 0, 0, 4, 0, 0, 0, -224, 0, 0, 0, 360, 0, 0, -368, 0, 0, 240, 0, 160, 0, 40, 0, 0, -8, 0, 0, 0, 0, 0, 0, -100, -112, 160, 0, 0, 0, 0, -120, -32, 0, 0, 0, 0, 0, 0, -40, 64, 0, 264, 0, 0, 0, -64, -216, 0, 48, 0, 0, -56, 0, 248, 0, 72, 0, 0, 0, 16, 0, 0, 0, 0, 0, -104, 0, 0, 0, 176, 0, 0, 0, 64, 0, 0, 0, 0, 0, 8, -8, 408, 0, -120, 0, 0, -20, 0, -16, 0, 0, 0, 0, -48, -16, -352, 0, 0, 0, 0, 0, 224, 0, 0, -344, 0, 0, 0, 0, 144, 0, -88, 0, 0, 0, -64, 0, 0, 8, 0, 0, -20, 0, -584, 0, 120, 0, 0, 120, -128, 0, 0, 0, 0, 0, 424, 232, 0, 0, 80, 0, 0, 0, -344, 80, 0, 0, 0, 0, -168, -656, -32, 0, 56, 0, 0, 0, 0, 256, 0, 48, 0, 0, 84, 0, -48, 0, 0, 0, 0, 0, -472, 0, 0, 128, 0, 0, 0, 0, -336, 0, -128, 0, 0, 48, -64, 0, 0, 0, 0, 0, 268, 0, 32, 0, -24, 0, 0, -248, -48, -56, 0, 0, 0, 0, -136, -8, 0, 0, -64, 0, 0, 0, -496, 16, 0, -192, 0, 0, 416, 0, -616, 0, 32, 0, 0, 0, 0, 0, 0, 280, 0, 0, 200, 0, 232, 0, 0, 0, 0, 240, -80, 0, 0, 0, 0, 0, 0, 184, -144, 0, 376, 0, 0, 264, 224, 0, 0, 0, 0, 0, 160, 0, 512, 0, -56, 0, 0, 0, -288, 128, 0, 0, 0, 0, -208, 0, 0, 0, 320, 0, 0, 0, -8, 0, 0, 80, 0, 0, 48, 0, 584, 0, 272, 0, 0, -144, 0, 0, 0, 0, 0, 0, -152, 0, 800, 0, 0, 0, 0, -4, 184, 0, 0, 0, 0, 0, 0, 336, 160, 0, -88, 0, 0, 0, 80, 272, 0, -16, 0, 0, -144, 0, 480, 0, 88, 0, 0, 0, 160, 0, 0, 0, 0, 0, -448, 0, 0, 0, -80, 0, 0, 0, 240, 0, 0, 0, 0, 0, -40, 416, 104, 0, 8, 0, 0, -152, 0, -120, 0, 0, 0, 0, -60, 384, -240, 0, 0, 0, 0, 0, 704, 0, 0, -176, 0, 0, 0, 0, 624, 0, -8, 0, 0, 0, -176, 0, 0, -360, 0, 0, -152, 0, -128, 0, -464, 0, 0, -192, -48, 0, 0, 0, 0, 0, -52, 8, 0, 0, 208, 0, 0, 0, -472, -160, 0, 0, 0, 0, -760, 128, -688, 0, -248, 0, 0, 0, 0, -80, 0, -32, 0, 0, 444, 0, -8, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -288, 0, 136, 0, 0, -56, -56, 0, 0, 0, 0, 0, 272, 0, -424, 0, -208, 0, 0, -128, 80, -416, 0, 0, 0, 0, 96, 480, 0, 0, -480, 0, 0, 0, -40, 64, 0, -40, 0, 0, -24, 0, -736, 0, 376, 0, 0, 0, 0, 0, 0, -112, 0, 0, 368, 0, 288, 0, 0, 0, 0, -104, -616, 0, 0, 0, 0, 0, 0, 400, -384, 0, 56, 0, 0, -624, 64, 96, 0, 0, 0, 0, 224, 0, 648, 0, -128, 0, 0, 0, -464, 184, 0, 0, 0, 0, -520, 0, 0, 0, -368, 0, 0, 0, 432, 0, 0, -696, 0, 0, 8, 0, 104, 0, 224, 0, 0, 32, 0, 0, 0, 0, 0, 0, -200, 216, 240, 0, 0, 0, 0, -636, 536, 0, 0, 0, 0, 0, 0, 0, 624, 0, 224, 0, 0, 0, 456, -80, 0, 256, 0, 0, -632, 0, 168, 0, -720, 0, 0, 0, 288, 0, 0, 0, 0, 0, -48, 0, 0, 0, 48, 0, 0, 0, 600, 0, 0, 0, 0, 0, -528, 32, 544, 0, -184, 0, 0, -192, 0, -144, 0, 0, 0, 0, -640, -608, -352, 0, 0, 0, 0, 0, 32, 0, 0, 128, 0, 0, 0, 0, -64, 0, -504, 0, 0, 0, 56, 0, 0, 704, 0, 0, -304, 0, -704, 0, 296, 0, 0, 4, 192, 0, 0, 0, 0, 0, 88, 48, 0, 0, -176, 0, 0, 0, -104, -536, 0, 0, 0, 0, 192, -968, -856, 0, -296, 0, 0, 0, 0, 496, 0, -96, 0, 0, 368, 0, -544, 0, 0, 0, 0, 0, -576, 0, 0, 336, 0, 0, 0, 0, -640, 0, 256, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [-0.2556128096128964, -0.9667792362074193], [-0.408248290463863, 0.408248290463863], [-0.8693241831236024, 0.494242313684777], [-0.013017192348190815, -0.9999152727623327], [0.499039462982768, 0.2903324778925083], [-0.2424168374706975, -0.9701721893100758], [0.7000336034382165, 0.7141099033463307], [0.0, -0.3333333333333333], [-0.9633699625639088, 0.2681759035215745], [0.0, -0.9496821838003969], [0.15312653198239032, -0.5566736912558193], [-0.4647810495775709, 0.4647810495775709], [-0.875977479247517, 0.48235200409158235], [0.4135279472367178, 0.4028994541911414], [0.511449070727037, -0.859313591218276], [0.10354881233354324, -0.10354881233354324], [-0.3222597454024731, 0.08520426987096547], [0.0, 0.9274474970607484], [0.5055165980034539, 0.8628168804230792], [0.4950373972184901, 0.29710487826435333], [-0.9181330162943419, 0.24275093124053057], [0.9747860843970705, -0.9747860843970705], [-0.5773216691153636, -0.005746625373544239], [-0.9996611054067404, 0.026032178874881937], [0.5681446580516405, 0.3305366781769329], [0.13608276348795434, 0.13608276348795434], [0.6902389667268585, 0.7235814873335544], [-1.5908772784496008, 0.0], [0.28381178614466684, -0.5027764944572362], [0.0, -0.5550641995382977], [-0.9614994713231023, -0.2748067805666278], [0.3877061280205002, 0.3877061280205002], [-0.12657724455066385, -0.0736404388453528], [-0.9669344026986176, 0.2550252161608092], [0.16474743789492566, 0.28977472770786744], [-0.41113036212778725, 0.41113036212778725], [0.8966369828308731, -0.23706746049214636], [0.0, -0.37949213786008656], [0.7049369267206769, -0.7092699974943301], [0.0, 1.86967806174809], [0.16069692731543614, -0.5545356894598497], [-1.1803803954400203, -1.1803803954400203], [0.4693731197867198, 0.8255816886593188], [-0.3333050909207776, 0.004339064116063605], [-1.19157075594331, -0.6932351363347317], [0.14118162241216417, -0.14118162241216417], [0.14201509580357977, 0.5596115133708682], [-0.8824681538214109, 0.4703721478691428], [0.280693553823224, 0.959797441568839], [0.0, 0.0845472512294648], [0.17433094495529466, -0.63375986755541], [-0.39282901377705115, -0.39282901377705115], [0.09677749263083611, -0.16634648766092267], [-0.9496017198523017, 0.01236219565617967], [0.5231096360688074, -0.8522653980139988], [-0.37862885517003914, -0.37862885517003914], [0.4066486108938206, 1.538027120159243], [0.0, 1.8449298695993244], [-0.5586198033521034, -0.14586722948006747], [-0.920294485693931, 0.0], [-0.536624542875718, 0.14188151955951764], [-0.32339072977002525, 0.08080561249023249], [-0.019905908114611563, 0.9998018577808968], [0.47079181428526534, 0.4586915256409748], [0.27572358163313776, -0.47392888700805247], [-0.8224681534388548, 0.8224681534388548], [-0.03883928210823549, 0.14119569128231785], [0.0, 0.7959095050461338], [0.49371390307874063, 0.8696243912786462], [1.2123186013875709, 0.0], [0.2380366344487769, -0.2333445344794055], [-0.5158875997089295, -0.5158875997089295], [0.5025624844602332, 0.29238211049893065], [0.3974823448027973, -0.41873752984823737], [-0.45838379676845964, -0.8062525377723646], [-0.9213552434064048, 0.2302189515991579], [-0.36688511918709515, 0.09700305158442135], [0.0, -0.6804467807340966], [-0.8658984148813593, -0.5002198867557639], [-0.1111111111111111, 0.0], [1.8075659284905867, -0.4779136624350237], [0.3268379957476466, -0.3268379957476466], [-0.5771897833930061, -0.013612027037439738], [-0.10488795373628293, -0.10219212412113804], [-0.8394469078473091, 1.4428876064281198], [0.6494729292648524, -0.6494729292648524], [0.6781774524834338, -0.6648094412468666], [-1.5530575282791257, 0.0], [0.08939196784052483, 0.3211233208546363], [0.563588400573413, 0.3382468962636006], [-0.36562458683860577, 1.3291856462388705], [0.22660401055920257, 0.22660401055920257], [-0.1725792922526367, -0.100403629911676], [0.9273689169962409, -0.012072762462087896], [0.5047199138237684, -0.2803411170753609], [1.0861454422152554, -1.0861454422152554], [0.6803161900423697, 0.7329187414483507], [-0.3165607279334656, 0.0], [0.8561633695407743, -0.5167052202722433], [0.9752777275317323, 0.0], [0.08173852696705877, -0.02161136043181091], [-0.6264134900923624, -0.6264134900923624], [-0.6572671033366286, -0.006542397445461966], [0.2906357083695797, -0.49886292541523464], [-0.2793668059904761, 0.4801910618085066], [1.1238383600158892, -1.1238383600158892], [-0.18555789708527312, -0.05104217732746344], [-0.2718015042584583, 0.0], [0.25468187769901346, 0.9148952898553996], [0.0, -0.3356865349929162], [-0.9576660143491137, -0.28788158148913107], [-0.22283872691402185, 0.22283872691402185], [-0.2692681299368519, 0.4628329008779082], [-0.9873924714237594, -0.9620145155058866], [1.382988090538099, -0.7862788668894719], [0.15492701652585697, 0.15492701652585697], [1.7836398901874886, -0.47158770750703793], [-0.12556215357183612, -0.07535820235234751], [0.001768968735802832, 0.5773475591729345], [0.0981037497721091, 0.0], [0.23523905915948123, 0.8897215999650785], [-0.7632928724264466, -0.7632928724264466], [0.274336214223397, 0.48253073184478684], [0.039042754132360004, 0.999237541003019], [0.16078400136386078, 0.2919924930825057], [0.6993098542327395, 0.6993098542327395], [0.9716758815252464, -0.23631754328050927], [0.9637765570708938, 0.0], [0.32311302442178796, -0.5723991802421295], [-1.000840519522401, 0.0], [-0.5286630867760544, -0.14542153929081775], [0.8997837686935762, -0.22482888915758062], [1.0053785287041792, 0.5849117376689063], [0.1342998180637138, -0.13784264907890592], [0.14643288059673182, 0.0014575841375359855], [-0.7140804541959787, -0.7140804541959787], [0.7694687833787265, -0.20344466478245202], [0.0, -1.016453027485684], [0.7145352068768055, -0.6995994840860883], [0.0, 0.11527431198936126], [-0.309884163846654, -1.1720444514895227], [0.4413942821518681, 0.4413942821518681], [-0.2864378637394253, -0.170483023575679], [0.020708755535944774, 1.59074248781233], [-0.36688194080942504, 0.6306168984215305], 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[0.4753048937224898, 0.2765241184015358], [-0.0011726472166502667, -0.09007686374503081], [-0.46481930258273263, -0.8854055657982403], [-0.369923655124107, -0.369923655124107], [-0.7622358752162252, 0.2015323109504213], [0.0, 0.8830390231262931], [-0.17223507342408112, -0.28538778984692476], [-0.08135395565354149, 0.0], [-0.453866090609339, -1.7166131583321325], [-0.23363566499352326, -0.9350292123791962], [-0.3151259387255989, -0.003136744751184123], [0.005811881303056827, 0.44643950269476196], [-0.11581443186575971, -0.06737882166336845], [-0.795485450019921, 0.795485450019921], [0.9985554859260994, 0.27467678274306395], [0.0, -0.32509257584391077], [-0.6336538033807215, -0.1747160712527692], [0.7949122964390685, 0.0], [-0.5190102974021892, 0.13171154514787242], [-0.3103922215505699, -0.3103922215505699], [0.73700243662037, -1.266800403653743], [-0.38056748952228225, -0.370786145981202], [0.46212501122999505, 0.8128329703165089], [0.24262059355515037, 0.9709876379752815], [-0.007203786810603636, -0.02724617565568626], [0.0, -1.9308877554598318], [-0.004223817092864751, -1.3785492301827713], [0.14498566314135064, 0.0], [0.3626764056501626, 1.3717153650316365], [-0.563462711975328, 0.563462711975328], [-0.012927099562865817, 0.5481468539599481], [0.40028841314313174, -0.4216936513987429], [1.3109669913706017, 0.7626977889984146], [-0.2088044966974541, 0.2088044966974541], [1.529627662169227, 0.4371838631673334], [-1.4704640974865033, 0.0], [-0.27907323244257715, -0.15753376189592402], [-0.4362454712283247, -0.8184428804974869], [0.13703334606786183, -0.49816878625257033], [-0.17833302585301547, -0.17833302585301547], [0.5148916492929047, -0.8850241420547362], [-0.09705003960256359, 0.09961022095862818], [-0.002180799148487322, 0.21908903444554287], [0.8538227120240564, -0.8538227120240564], [0.32374441769799345, -1.1171827419234628], [-0.3495969284925329, 0.0], [0.193183540485138, 0.050444233560327165], [-1.2086859190339345, 0.0], [0.1333023685036806, 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[-0.4578951344614469, 0.0], [-0.15253540568291185, 0.5336939344064542], [-0.34455199644622636, -0.34455199644622636], [-1.0619637924883598, 0.584764306976799], [0.01217438192729918, 0.9351748134258826], [-0.13189454472658388, -0.2319896823444086], [0.7535802620361005, 0.7535802620361005], [0.05019913733398556, 0.18986326907293363], [-0.11189551166430539, 0.0], [-0.6862341839622628, 0.7273806738989202]], 'angles': [None, None, None, None, -0.4212527665466731, -0.4282967951779274, -0.36333622653935704, 0.07674349020679505, -0.25396396769658147, -0.3963797385348351, -0.45524175616903056, -0.42194625311501593, 0.19222820784525052, -0.4678335287853443, -0.3590849750055553, -0.16979799765967143, 0.18691428091480453, -0.32610169228275976, -0.473781227275988, -0.14635469306093318, -0.18442920296786913, -0.4447486533381357, -0.33788224060212996, -0.3915106720264649, -0.23562086040164118, -0.16892914241535933, -0.1980324835983988, -0.2288209748929201, -0.2716964145400197, -0.4001831203684073, 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'char_orbit_index': 36, 'conrey_index': 517, 'dual_conrey_index': 13, 'dual_embedding_index': 37, 'dual_embedding_m': 37, 'embedding_index': 37, 'embedding_m': 129, 'hecke_orbit': 2, 'hecke_orbit_code': 4506004842611528, 'label': '840.2.bj.b.517.37', 'level': 840, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 3360, 'analytic_conductor': 6.707433769787552, 'char_conductor': 280, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 36, 'char_orbit_label': 'bj', 'char_order': 4, 'char_parity': 1, 'char_values': [840, 4, [631, 421, 281, 337, 241], [4, 2, 4, 3, 2]], 'conrey_index': 13, 'cusp_dim': 368, 'dim': 192, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [11], 'hecke_orbit_code': 2405215241032, 'hecke_orbit_dims': [8, 184], 'label': '840.2.bj', 'level': 840, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 7], 'level_radical': 210, 'mf_dim': 400, 'mf_new_dim': 192, 'num_forms': 2, 'prim_orbit_index': 19, 'relative_dim': 96, 'sturm_bound': 384, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [192, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, -48, 0, 0, 0, 72, 0, 0, 0, 0, 0, -16, 0, 56, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 128, -24, 0, 0, 0, 0, 0, 24, 0, 0, -192, 0, 0, 0, 0, -16, 0, -64, 0, 0, 0, 72, 0, 0, -96, 0, 0, 0, 0, -56, 0, 32, 0, 0, 16, -48, 0, 0, 0, 0, 0, 92, 0, 0, 0, 48, 0, 0, 0, -32, -192, 0, 0, 0, 0, -16, 128, -168, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, -120, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, -80, 0, -32, 0, 0, 32, 0, 0, 0, 0, 0, 0, 44, 0, -200, 0, -64, 0, 0, 16, 64, -32, 0, 0, 0, 0, 160, 0, 0, 0, 64, 0, 0, 0, -200, 192, 0, 0, 0, 0, 184, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 56, 0, 0, 0, 0, 16, -256, 0, 0, 0, 0, 0, 0, 0, -192, 0, 112, 0, 0, 0, 8, 0, 0, 0, 0, 0, 120, 0, 0, 0, 48, 0, 0, 0, -48, 96, 0, 0, 0, 0, -4, 0, 0, 0, -96, 0, 0, 0, 328, 0, 0, -288, 0, 0, 240, 0, 160, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -100, 64, 160, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, -96, 64, 0, 264, 0, 0, 0, -112, -160, 0, 0, 0, 0, -56, 0, 248, 0, 104, 0, 0, 0, 16, 0, 0, 0, 0, 0, -120, 0, 0, 0, 176, 0, 0, 0, 64, 0, 0, 0, 0, 0, 8, 32, 480, 0, -120, 0, 0, -96, 0, -32, 0, 0, 0, 0, -72, 0, -352, 0, 0, 0, 0, 0, 224, 0, 0, -192, 0, 0, 0, 0, 176, 0, -24, 0, 0, 0, -64, 0, 0, 96, 0, 0, -20, 0, -584, 0, 280, 0, 0, 16, -240, 0, 0, 0, 0, 0, 328, 160, 0, 0, 80, 0, 0, 0, -472, 0, 0, 0, 0, 0, -168, -448, -32, 0, 56, 0, 0, 0, 0, 352, 0, -32, 0, 0, 92, 0, -48, 0, 0, 0, 0, 0, -472, 0, 0, 192, 0, 0, 0, 0, -336, 0, -128, 0, 0, 0, -64, 0, 0, 0, 0, 0, 236, 0, -24, 0, 136, 0, 0, -224, -48, -64, 0, 0, 0, 0, -32, -128, 0, 0, 256, 0, 0, 0, -496, 0, 0, -192, 0, 0, 416, 0, -392, 0, 128, 0, 0, 0, 0, 0, 0, 96, 0, 0, 200, 0, 232, 0, 0, 0, 0, 192, -128, 0, 0, 0, 0, 0, 0, 352, -144, 0, 232, 0, 0, 160, 96, 0, 0, 0, 0, 0, 160, 0, 480, 0, -56, 0, 0, 0, -448, 128, 0, 0, 0, 0, -208, 0, 0, 0, 320, 0, 0, 0, 24, 0, 0, 128, 0, 0, 32, 0, 616, 0, 272, 0, 0, -144, 0, 0, 0, 0, 0, 0, -152, 0, 624, 0, 0, 0, 0, 0, 376, 0, 0, 0, 0, 0, 0, 224, 96, 0, 48, 0, 0, 0, 80, 480, 0, 0, 0, 0, -144, 0, 704, 0, 88, 0, 0, 0, 160, 0, 0, 0, 0, 0, -448, 0, 0, 0, -192, 0, 0, 0, 272, 0, 0, 0, 0, 0, -40, 384, 104, 0, 8, 0, 0, -256, 0, -64, 0, 0, 0, 0, -60, 448, -240, 0, 0, 0, 0, 0, 496, 0, 0, -320, 0, 0, 0, 0, 624, 0, -24, 0, 0, 0, -176, 0, 0, -576, 0, 0, -360, 0, -128, 0, -464, 0, 0, -192, -48, 0, 0, 0, 0, 0, -52, 160, 0, 0, 64, 0, 0, 0, -472, 0, 0, 0, 0, 0, -608, 128, -688, 0, -184, 0, 0, 0, 0, 0, 0, -32, 0, 0, 500, 0, -24, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, -288, 0, -120, 0, 0, -160, -208, 0, 0, 0, 0, 0, 272, 0, -424, 0, -240, 0, 0, -176, -48, 0, 0, 0, 0, 0, 96, 288, 0, 0, -480, 0, 0, 0, -112, 320, 0, 0, 0, 0, -24, 0, -736, 0, 376, 0, 0, 0, 0, 0, 0, -224, 0, 0, 264, 0, 400, 0, 0, 0, 0, 0, -616, 0, 0, 0, 0, 0, 0, 384, -240, 0, 56, 0, 0, -704, 64, 128, 0, 0, 0, 0, 224, 0, 680, 0, -48, 0, 0, 0, -464, 96, 0, 0, 0, 0, -520, 0, 0, 0, -368, 0, 0, 0, 432, 0, 0, -672, 0, 0, 8, 0, 72, 0, 80, 0, 0, 32, 0, 0, 0, 0, 0, 0, -232, 192, 240, 0, 0, 0, 0, -576, 536, 0, 0, 0, 0, 0, 0, 0, 624, 0, 224, 0, 0, 0, 392, 0, 0, -32, 0, 0, -424, 0, 168, 0, -720, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 600, 0, 0, 0, 0, 0, -464, 0, 688, 0, -120, 0, 0, -192, 0, 0, 0, 0, 0, 0, -656, -512, -352, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 176, 0, -504, 0, 0, 0, -264, 0, 0, 704, 0, 0, -304, 0, -704, 0, 312, 0, 0, 0, 192, 0, 0, 0, 0, 0, 88, 128, 0, 0, -624, 0, 0, 0, -168, -704, 0, 0, 0, 0, 192, -864, -1096, 0, -296, 0, 0, 0, 0, 448, 0, -192, 0, 0, 368, 0, -544, 0, 0, 0, 0, 0, -576, 0, 0, 256, 0, 0, 0, 0, -544, 0, 256, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 39123918
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 517, 'source_dim': 184, 'source_embedding_index': 37, 'source_hecke_orbit_code': 4506004842611528, 'source_is_minimal': True, 'source_label': '840.2.bj.b.517.37', 'source_level': 840, 'target_conrey_index': 517, 'target_dim': 184, 'target_embedding_index': 37, 'target_hecke_orbit_code': 4506004842611528, 'target_is_minimal': True, 'target_label': '840.2.bj.b.517.37', 'target_level': 840, 'twist_class_label': '840.2.bj.b.13.9', 'twist_class_level': 840, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 39123919
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 517, 'source_dim': 184, 'source_embedding_index': 37, 'source_hecke_orbit_code': 4506004842611528, 'source_is_minimal': True, 'source_label': '840.2.bj.b.517.37', 'source_level': 840, 'target_conrey_index': 13, 'target_dim': 184, 'target_embedding_index': 9, 'target_hecke_orbit_code': 4506004842611528, 'target_is_minimal': True, 'target_label': '840.2.bj.b.13.9', 'target_level': 840, 'twist_class_label': '840.2.bj.b.13.9', 'twist_class_level': 840, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 39123920
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 517, 'source_dim': 184, 'source_embedding_index': 37, 'source_hecke_orbit_code': 4506004842611528, 'source_is_minimal': True, 'source_label': '840.2.bj.b.517.37', 'source_level': 840, 'target_conrey_index': 517, 'target_dim': 184, 'target_embedding_index': 38, 'target_hecke_orbit_code': 4506004842611528, 'target_is_minimal': True, 'target_label': '840.2.bj.b.517.38', 'target_level': 840, 'twist_class_label': '840.2.bj.b.13.9', 'twist_class_level': 840, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 39123921
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 517, 'source_dim': 184, 'source_embedding_index': 37, 'source_hecke_orbit_code': 4506004842611528, 'source_is_minimal': True, 'source_label': '840.2.bj.b.517.37', 'source_level': 840, 'target_conrey_index': 517, 'target_dim': 184, 'target_embedding_index': 10, 'target_hecke_orbit_code': 4506004842611528, 'target_is_minimal': True, 'target_label': '840.2.bj.b.517.10', 'target_level': 840, 'twist_class_label': '840.2.bj.b.13.9', 'twist_class_level': 840, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 39123922
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 517, 'source_dim': 184, 'source_embedding_index': 37, 'source_hecke_orbit_code': 4506004842611528, 'source_is_minimal': True, 'source_label': '840.2.bj.b.517.37', 'source_level': 840, 'target_conrey_index': 13, 'target_dim': 184, 'target_embedding_index': 10, 'target_hecke_orbit_code': 4506004842611528, 'target_is_minimal': True, 'target_label': '840.2.bj.b.13.10', 'target_level': 840, 'twist_class_label': '840.2.bj.b.13.9', 'twist_class_level': 840, 'twisting_char_label': '35.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 39123923
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 517, 'source_dim': 184, 'source_embedding_index': 37, 'source_hecke_orbit_code': 4506004842611528, 'source_is_minimal': True, 'source_label': '840.2.bj.b.517.37', 'source_level': 840, 'target_conrey_index': 13, 'target_dim': 184, 'target_embedding_index': 38, 'target_hecke_orbit_code': 4506004842611528, 'target_is_minimal': True, 'target_label': '840.2.bj.b.13.38', 'target_level': 840, 'twist_class_label': '840.2.bj.b.13.9', 'twist_class_level': 840, 'twisting_char_label': '40.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 39123924
    {'conductor': 56, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 517, 'source_dim': 184, 'source_embedding_index': 37, 'source_hecke_orbit_code': 4506004842611528, 'source_is_minimal': True, 'source_label': '840.2.bj.b.517.37', 'source_level': 840, 'target_conrey_index': 517, 'target_dim': 184, 'target_embedding_index': 9, 'target_hecke_orbit_code': 4506004842611528, 'target_is_minimal': True, 'target_label': '840.2.bj.b.517.9', 'target_level': 840, 'twist_class_label': '840.2.bj.b.13.9', 'twist_class_level': 840, 'twisting_char_label': '56.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 39123925
    {'conductor': 280, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 517, 'source_dim': 184, 'source_embedding_index': 37, 'source_hecke_orbit_code': 4506004842611528, 'source_is_minimal': True, 'source_label': '840.2.bj.b.517.37', 'source_level': 840, 'target_conrey_index': 13, 'target_dim': 184, 'target_embedding_index': 37, 'target_hecke_orbit_code': 4506004842611528, 'target_is_minimal': True, 'target_label': '840.2.bj.b.13.37', 'target_level': 840, 'twist_class_label': '840.2.bj.b.13.9', 'twist_class_level': 840, 'twisting_char_label': '280.13', 'twisting_conrey_index': 13, 'weight': 2}
• hecke_orbit_code 4506004842611528 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': 36, 'hecke_orbit': 2, 'label': '840.2.bj.b', 'level': 840, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25366021
    {'hecke_orbit_code': 4506004842611528, 'n': 1, 'trace_an': 184}
  • id: 25366022
    {'hecke_orbit_code': 4506004842611528, 'n': 2, 'trace_an': 8}
  • id: 25366023
    {'hecke_orbit_code': 4506004842611528, 'n': 3, 'trace_an': 0}
  • id: 25366024
    {'hecke_orbit_code': 4506004842611528, 'n': 4, 'trace_an': 0}
  • id: 25366025
    {'hecke_orbit_code': 4506004842611528, 'n': 5, 'trace_an': 0}
  • id: 25366026
    {'hecke_orbit_code': 4506004842611528, 'n': 6, 'trace_an': 0}
  • id: 25366027
    {'hecke_orbit_code': 4506004842611528, 'n': 7, 'trace_an': 4}
  • id: 25366028
    {'hecke_orbit_code': 4506004842611528, 'n': 8, 'trace_an': 8}
  • id: 25366029
    {'hecke_orbit_code': 4506004842611528, 'n': 9, 'trace_an': 0}
  • id: 25366030
    {'hecke_orbit_code': 4506004842611528, 'n': 10, 'trace_an': 0}
  • id: 25366031
    {'hecke_orbit_code': 4506004842611528, 'n': 11, 'trace_an': 0}
  • id: 25366032
    {'hecke_orbit_code': 4506004842611528, 'n': 12, 'trace_an': 0}
  • id: 25366033
    {'hecke_orbit_code': 4506004842611528, 'n': 13, 'trace_an': 0}
  • id: 25366034
    {'hecke_orbit_code': 4506004842611528, 'n': 14, 'trace_an': 0}
  • id: 25366035
    {'hecke_orbit_code': 4506004842611528, 'n': 15, 'trace_an': -16}
  • id: 25366036
    {'hecke_orbit_code': 4506004842611528, 'n': 16, 'trace_an': 64}
  • id: 25366037
    {'hecke_orbit_code': 4506004842611528, 'n': 17, 'trace_an': 0}
  • id: 25366038
    {'hecke_orbit_code': 4506004842611528, 'n': 18, 'trace_an': 8}
  • id: 25366039
    {'hecke_orbit_code': 4506004842611528, 'n': 19, 'trace_an': 0}
  • id: 25366040
    {'hecke_orbit_code': 4506004842611528, 'n': 20, 'trace_an': 0}
  • id: 25366041
    {'hecke_orbit_code': 4506004842611528, 'n': 21, 'trace_an': 0}
  • id: 25366042
    {'hecke_orbit_code': 4506004842611528, 'n': 22, 'trace_an': 0}
  • id: 25366043
    {'hecke_orbit_code': 4506004842611528, 'n': 23, 'trace_an': 16}
  • id: 25366044
    {'hecke_orbit_code': 4506004842611528, 'n': 24, 'trace_an': 0}
  • id: 25366045
    {'hecke_orbit_code': 4506004842611528, 'n': 25, 'trace_an': -32}
  • id: 25366046
    {'hecke_orbit_code': 4506004842611528, 'n': 26, 'trace_an': 0}
  • id: 25366047
    {'hecke_orbit_code': 4506004842611528, 'n': 27, 'trace_an': 0}
  • id: 25366048
    {'hecke_orbit_code': 4506004842611528, 'n': 28, 'trace_an': -4}
  • id: 25366049
    {'hecke_orbit_code': 4506004842611528, 'n': 29, 'trace_an': 0}
  • id: 25366050
    {'hecke_orbit_code': 4506004842611528, 'n': 30, 'trace_an': 24}
  • id: 25366051
    {'hecke_orbit_code': 4506004842611528, 'n': 31, 'trace_an': 0}
  • id: 25366052
    {'hecke_orbit_code': 4506004842611528, 'n': 32, 'trace_an': -32}
  • id: 25366053
    {'hecke_orbit_code': 4506004842611528, 'n': 33, 'trace_an': 0}
  • id: 25366054
    {'hecke_orbit_code': 4506004842611528, 'n': 34, 'trace_an': 0}
  • id: 25366055
    {'hecke_orbit_code': 4506004842611528, 'n': 35, 'trace_an': 0}
  • id: 25366056
    {'hecke_orbit_code': 4506004842611528, 'n': 36, 'trace_an': -16}
  • id: 25366057
    {'hecke_orbit_code': 4506004842611528, 'n': 37, 'trace_an': 0}
  • id: 25366058
    {'hecke_orbit_code': 4506004842611528, 'n': 38, 'trace_an': 0}
  • id: 25366059
    {'hecke_orbit_code': 4506004842611528, 'n': 39, 'trace_an': 0}
  • id: 25366060
    {'hecke_orbit_code': 4506004842611528, 'n': 40, 'trace_an': 0}
  • id: 25366061
    {'hecke_orbit_code': 4506004842611528, 'n': 41, 'trace_an': 0}
  • id: 25366062
    {'hecke_orbit_code': 4506004842611528, 'n': 42, 'trace_an': -20}
  • id: 25366063
    {'hecke_orbit_code': 4506004842611528, 'n': 43, 'trace_an': 0}
  • id: 25366064
    {'hecke_orbit_code': 4506004842611528, 'n': 44, 'trace_an': 0}
  • id: 25366065
    {'hecke_orbit_code': 4506004842611528, 'n': 45, 'trace_an': 0}
  • id: 25366066
    {'hecke_orbit_code': 4506004842611528, 'n': 46, 'trace_an': -80}
  • id: 25366067
    {'hecke_orbit_code': 4506004842611528, 'n': 47, 'trace_an': 0}
  • id: 25366068
    {'hecke_orbit_code': 4506004842611528, 'n': 48, 'trace_an': 0}
  • id: 25366069
    {'hecke_orbit_code': 4506004842611528, 'n': 49, 'trace_an': 0}
  • id: 25366070
    {'hecke_orbit_code': 4506004842611528, 'n': 50, 'trace_an': 80}
  • id: 25366071
    {'hecke_orbit_code': 4506004842611528, 'n': 51, 'trace_an': 0}
  • id: 25366072
    {'hecke_orbit_code': 4506004842611528, 'n': 52, 'trace_an': 0}
  • id: 25366073
    {'hecke_orbit_code': 4506004842611528, 'n': 53, 'trace_an': 0}
  • id: 25366074
    {'hecke_orbit_code': 4506004842611528, 'n': 54, 'trace_an': 0}
  • id: 25366075
    {'hecke_orbit_code': 4506004842611528, 'n': 55, 'trace_an': 0}
  • id: 25366076
    {'hecke_orbit_code': 4506004842611528, 'n': 56, 'trace_an': 0}
  • id: 25366077
    {'hecke_orbit_code': 4506004842611528, 'n': 57, 'trace_an': 0}
  • id: 25366078
    {'hecke_orbit_code': 4506004842611528, 'n': 58, 'trace_an': 56}
  • id: 25366079
    {'hecke_orbit_code': 4506004842611528, 'n': 59, 'trace_an': 0}
  • id: 25366080
    {'hecke_orbit_code': 4506004842611528, 'n': 60, 'trace_an': -56}
  • id: 25366081
    {'hecke_orbit_code': 4506004842611528, 'n': 61, 'trace_an': 0}
  • id: 25366082
    {'hecke_orbit_code': 4506004842611528, 'n': 62, 'trace_an': 0}
  • id: 25366083
    {'hecke_orbit_code': 4506004842611528, 'n': 63, 'trace_an': 4}
  • id: 25366084
    {'hecke_orbit_code': 4506004842611528, 'n': 64, 'trace_an': 0}
  • id: 25366085
    {'hecke_orbit_code': 4506004842611528, 'n': 65, 'trace_an': 32}
  • id: 25366086
    {'hecke_orbit_code': 4506004842611528, 'n': 66, 'trace_an': 0}
  • id: 25366087
    {'hecke_orbit_code': 4506004842611528, 'n': 67, 'trace_an': 0}
  • id: 25366088
    {'hecke_orbit_code': 4506004842611528, 'n': 68, 'trace_an': 0}
  • id: 25366089
    {'hecke_orbit_code': 4506004842611528, 'n': 69, 'trace_an': 0}
  • id: 25366090
    {'hecke_orbit_code': 4506004842611528, 'n': 70, 'trace_an': -44}
  • id: 25366091
    {'hecke_orbit_code': 4506004842611528, 'n': 71, 'trace_an': 32}
  • id: 25366092
    {'hecke_orbit_code': 4506004842611528, 'n': 72, 'trace_an': -8}
  • id: 25366093
    {'hecke_orbit_code': 4506004842611528, 'n': 73, 'trace_an': 0}
  • id: 25366094
    {'hecke_orbit_code': 4506004842611528, 'n': 74, 'trace_an': 0}
  • id: 25366095
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  • id: 25366200
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  • id: 25366202
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  • id: 25366204
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  • id: 25366205
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  • id: 25366206
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  • id: 25366207
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  • id: 25366208
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  • id: 25366210
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  • id: 25366212
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  • id: 25366213
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  • id: 25366214
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  • id: 25366215
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  • id: 25366216
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  • id: 25366218
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  • id: 25366219
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  • id: 25366220
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  • id: 25366221
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  • id: 25366222
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  • id: 25366224
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  • id: 25366231
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  • id: 25366252
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