text stringlengths 6 2.91M |
|---|
{"poster":"Zyklón B","date":"2017-11-21T01:22:40.541+0000","title":"Das unendliche Spiel","subforum":"Melde einen Bug","up_votes":1,"down_votes":0,"body":"Wir sind in einer Lobby aus der [vermeintlich] alle disconected sind. Da keiner wieder reinkommt kann keiner das Spiel beenden. \nAlso ich und mein Mate gehen in ein Normales Draft Pick rein. Soweit so gut aber ach etwa 15-20 Minuten kriegen wir beide in der selben Sekunde einen Disconnet und können auch nicht mehr beitreten. Wir verweilen immer noch im Teamspeak also ist mit dem Internet schon mal alles in Ordnung. Aber nach so etwa 50 Minuten kann ich mir nicht vorstellen wie 3 Leute gegen 5 über 30 Minuten deffen sollte. Also meiner Ansicht nach ist da etwas beim Server schief gelaufen was ja passieren kann aber mir erschließt sich keine Lösung. Ich kopiere de Text jetzt mal weil meine Threats schon 3 mal entfernt wurden weil ich das falsche Thema ausgewählt habe. Danke im voraus für Lösungsvorschläge. {{item:3599}}","replies":[{"poster":"sasalamex","date":"2017-11-21T02:21:07.399+0000","up_votes":1,"down_votes":0,"body":"Habe das selbe Problem ... komme seit ca 1 Stunde nicht mehr ins Spiel , weil dort steht ich wäre noch ingame obwohl das spiel schon vorbei sein sollte ... beim versuchen die Verbindung wieder herzustellen kommt dann einfach ein Netzwerkfehler...","replies":[{"poster":"sasalamex","date":"2017-11-21T02:21:28.007+0000","up_votes":1,"down_votes":0,"body":"jemand ne idee was man da machen kann ?","replies":[{"poster":"Zyklón B","date":"2017-11-21T07:23:26.539+0000","up_votes":1,"down_votes":0,"body":"Ist alles wieder behoben die Matsches wurden nicht gewertet der Patch wurde vorgezogen","replies":[]}]}]},{"poster":"HoloHoroHolo","date":"2017-11-21T01:25:50.927+0000","up_votes":1,"down_votes":0,"body":"Gibt einen anderen Beitrag schon hier, da Berichten andere, dass sie selbe Probleme habne.\nAuch ich versuche schon seit geraumer Zeit (ca. 30min+) zu reconnecten. Keine Chance.\nUnd das in ner Promo wo ich schon 0/1 stehe :P feels bad\n\nLG \nSpicy","replies":[]}]} |
{"tag": "4", "title": ["oracl", "look", "beyond", "big", "ticket", "contract"], "text": ["small", "busi", "push", "aim", "squar", "microsoft", "execut", "databas", "giant", "acknowledg"]} |
{
"Ar36": {
"error": 0.00036346963752776165,
"filter_outliers_dict": {
"filter_outliers": true,
"iterations": 1,
"std_devs": 2
},
"fit": "Linear",
"fn": 141,
"include_baseline_error": false,
"n": 150,
"reviewed": true,
"value": 0.02902248803237681
},
"Ar37": {
"error": 0.00873664947351891,
"filter_outliers_dict": {
"filter_outliers": true,
"iterations": 1,
"std_devs": 2
},
"fit": "Linear",
"fn": 143,
"include_baseline_error": false,
"n": 150,
"reviewed": true,
"value": 0.19427526176742207
},
"Ar38": {
"error": 0.056410438212705784,
"filter_outliers_dict": {
"filter_outliers": true,
"iterations": 1,
"std_devs": 2
},
"fit": "Linear",
"fn": 149,
"include_baseline_error": false,
"n": 150,
"reviewed": true,
"value": 0.19951882980938668
},
"Ar39": {
"error": 0.011037139437028028,
"filter_outliers_dict": {
"filter_outliers": true,
"iterations": 1,
"std_devs": 2
},
"fit": "Linear",
"fn": 142,
"include_baseline_error": false,
"n": 150,
"reviewed": true,
"value": 10.347768760664273
},
"Ar40": {
"error": 0.0968378964184624,
"filter_outliers_dict": {
"filter_outliers": true,
"iterations": 1,
"std_devs": 2
},
"fit": "Linear",
"fn": 141,
"include_baseline_error": false,
"n": 150,
"reviewed": true,
"value": 2490.8702379679144
},
"Ar41": {
"error": 0.13241218472072278,
"fit": "average_SEM",
"value": 0.0505948552954942
}
} |
{
"profiles": {
"Border": {
"commandName": "Project",
"commandLineArgs": "\"C:\\Camera\\2020\\Disney\\Output\\SAM06282 1.jpg\""
}
}
} |
{
"id": 135516647,
"type": "Feature",
"properties": {
"addr:full":"26 Bridge Street Carmarthen Carmarthenshire SA31 3JS",
"addr:housenumber":"26",
"addr:postcode":"sa31 3js",
"addr:street":"Bridge Street",
"edtf:cessation":"uuuu",
"edtf:inception":"uuuu",
"geom:area":0.0,
"geom:area_square_m":0.0,
"geom:bbox":"-4.306631,51.855415,-4.306631,51.855415",
"geom:latitude":51.855415,
"geom:longitude":-4.306631,
"iso:country":"GB",
"mz:hierarchy_label":1,
"mz:is_current":-1,
"sg:address":"26 Bridge Street",
"sg:city":"Carmarthen",
"sg:classifiers":[
{
"category":"Banks & Credit Unions",
"subcategory":"Financial Services",
"type":"Services"
}
],
"sg:owner":"simplegeo",
"sg:phone":"+44 1267 220616",
"sg:postcode":"SA31 3JS",
"sg:province":"Carmarthenshire",
"sg:tags":[
"adviser"
],
"src:geom":"simplegeo",
"wof:belongsto":[
101852977,
85633159,
85684603
],
"wof:breaches":[],
"wof:concordances":{
"sg:id":"SG_38czmqzfJnDmzOvZ79f2HR_51.855415_-4.306631@1300740163"
},
"wof:country":"GB",
"wof:geomhash":"fc1038af1cc96d10c14c5f77c76af4ca",
"wof:hierarchy":[
{
"country_id":85633159,
"locality_id":101852977,
"region_id":85684603,
"venue_id":135516647
}
],
"wof:id":135516647,
"wof:lastmodified":1496961847,
"wof:name":"Sterling Asset Management",
"wof:parent_id":101852977,
"wof:placetype":"venue",
"wof:repo":"whosonfirst-data-venue-gb",
"wof:superseded_by":[],
"wof:supersedes":[],
"wof:tags":[]
},
"bbox": [
-4.306631,
51.855415,
-4.306631,
51.855415
],
"geometry": {"coordinates":[-4.306631,51.855415],"type":"Point"}
} |
{
"dhp102:2": "anatthapadasaṃhitā → anatthapadasañhitaṃ (bj, mr)",
"dhp103:3": "jeyyamattānaṃ → jeyya attānaṃ (bj)",
"dhp108:1": "yiṭṭhaṃ va hutaṃ va → yiṭṭhañca hutañca (pts-vp-pli1ed, mr)",
"dhp109:2": "vuḍḍhāpacāyino → vaddhāpacāyino (bj, pts-vp-pli1ed, pts-vp-pli2ed)"
} |
[{"pid":0,"ph":"i","name":"Memory sample","ts":1572347806855000,"args":{"JVM stats":"heap_memory_usage: 297924848\nnon_heap_memory_usage: 175624152\nloaded_class_count: 16374\nthread_count: 22\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347807410000,"args":{"JVM stats":"heap_memory_usage: 308701496\nnon_heap_memory_usage: 176091264\nloaded_class_count: 16383\nthread_count: 27\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347807651000,"args":{"JVM stats":"heap_memory_usage: 316135120\nnon_heap_memory_usage: 176095232\nloaded_class_count: 16383\nthread_count: 27\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347807672000,"args":{"JVM stats":"heap_memory_usage: 316506704\nnon_heap_memory_usage: 176095232\nloaded_class_count: 16383\nthread_count: 27\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347807684000,"args":{"JVM stats":"heap_memory_usage: 316506704\nnon_heap_memory_usage: 176097664\nloaded_class_count: 16383\nthread_count: 27\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347807687000,"args":{"JVM stats":"heap_memory_usage: 316878264\nnon_heap_memory_usage: 176097664\nloaded_class_count: 16383\nthread_count: 27\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347807694000,"args":{"JVM stats":"heap_memory_usage: 316878264\nnon_heap_memory_usage: 176097664\nloaded_class_count: 16383\nthread_count: 27\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347807695000,"args":{"JVM stats":"heap_memory_usage: 316878264\nnon_heap_memory_usage: 176097664\nloaded_class_count: 16383\nthread_count: 27\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347807698000,"args":{"JVM stats":"heap_memory_usage: 316878264\nnon_heap_memory_usage: 176083584\nloaded_class_count: 16383\nthread_count: 27\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347807699000,"args":{"JVM stats":"heap_memory_usage: 316878264\nnon_heap_memory_usage: 176083584\nloaded_class_count: 16383\nthread_count: 27\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347807798000,"args":{"JVM stats":"heap_memory_usage: 320223472\nnon_heap_memory_usage: 176083584\nloaded_class_count: 16383\nthread_count: 27\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347807801000,"args":{"JVM stats":"heap_memory_usage: 320223472\nnon_heap_memory_usage: 176083584\nloaded_class_count: 16383\nthread_count: 27\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347807924000,"args":{"JVM stats":"heap_memory_usage: 327842640\nnon_heap_memory_usage: 176127080\nloaded_class_count: 16383\nthread_count: 27\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347807931000,"args":{"JVM stats":"heap_memory_usage: 327842640\nnon_heap_memory_usage: 176127080\nloaded_class_count: 16383\nthread_count: 27\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347809196000,"args":{"JVM stats":"heap_memory_usage: 351123792\nnon_heap_memory_usage: 176320392\nloaded_class_count: 16383\nthread_count: 28\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347809197000,"args":{"JVM stats":"heap_memory_usage: 351123792\nnon_heap_memory_usage: 176320392\nloaded_class_count: 16383\nthread_count: 28\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347809209000,"args":{"JVM stats":"heap_memory_usage: 351871040\nnon_heap_memory_usage: 176320424\nloaded_class_count: 16383\nthread_count: 28\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347809767000,"args":{"JVM stats":"heap_memory_usage: 380578480\nnon_heap_memory_usage: 176351016\nloaded_class_count: 16383\nthread_count: 28\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347809772000,"args":{"JVM stats":"heap_memory_usage: 380578480\nnon_heap_memory_usage: 176349736\nloaded_class_count: 16383\nthread_count: 28\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347809773000,"args":{"JVM stats":"heap_memory_usage: 380578480\nnon_heap_memory_usage: 176349736\nloaded_class_count: 16383\nthread_count: 28\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347809779000,"args":{"JVM stats":"heap_memory_usage: 380950072\nnon_heap_memory_usage: 176349736\nloaded_class_count: 16383\nthread_count: 28\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347809783000,"args":{"JVM stats":"heap_memory_usage: 380950072\nnon_heap_memory_usage: 176349736\nloaded_class_count: 16383\nthread_count: 28\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347809784000,"args":{"JVM stats":"heap_memory_usage: 380950072\nnon_heap_memory_usage: 176349736\nloaded_class_count: 16383\nthread_count: 28\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347809799000,"args":{"JVM stats":"heap_memory_usage: 382065192\nnon_heap_memory_usage: 176369752\nloaded_class_count: 16383\nthread_count: 28\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347809860000,"args":{"JVM stats":"heap_memory_usage: 384296104\nnon_heap_memory_usage: 176385688\nloaded_class_count: 16383\nthread_count: 28\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347815390000,"args":{"JVM stats":"heap_memory_usage: 397856296\nnon_heap_memory_usage: 176447448\nloaded_class_count: 16383\nthread_count: 31\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347815536000,"args":{"JVM stats":"heap_memory_usage: 408321936\nnon_heap_memory_usage: 176462096\nloaded_class_count: 16383\nthread_count: 31\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347815578000,"args":{"JVM stats":"heap_memory_usage: 409914880\nnon_heap_memory_usage: 176479760\nloaded_class_count: 16383\nthread_count: 31\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347815778000,"args":{"JVM stats":"heap_memory_usage: 432034904\nnon_heap_memory_usage: 176536720\nloaded_class_count: 16383\nthread_count: 31\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347815786000,"args":{"JVM stats":"heap_memory_usage: 432462104\nnon_heap_memory_usage: 176536720\nloaded_class_count: 16383\nthread_count: 31\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347815838000,"args":{"JVM stats":"heap_memory_usage: 433576880\nnon_heap_memory_usage: 176559184\nloaded_class_count: 16383\nthread_count: 31\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347815842000,"args":{"JVM stats":"heap_memory_usage: 433576880\nnon_heap_memory_usage: 176559184\nloaded_class_count: 16383\nthread_count: 31\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347815887000,"args":{"JVM stats":"heap_memory_usage: 434320264\nnon_heap_memory_usage: 176585744\nloaded_class_count: 16383\nthread_count: 31\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347815891000,"args":{"JVM stats":"heap_memory_usage: 434320264\nnon_heap_memory_usage: 176585744\nloaded_class_count: 16383\nthread_count: 31\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347816398000,"args":{"JVM stats":"heap_memory_usage: 542186928\nnon_heap_memory_usage: 176754232\nloaded_class_count: 16383\nthread_count: 31\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 1\n gc_time: 43\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347816399000,"args":{"JVM stats":"heap_memory_usage: 543162696\nnon_heap_memory_usage: 176755256\nloaded_class_count: 16383\nthread_count: 31\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":0,"ph":"i","name":"Memory sample","ts":1572347816412000,"args":{"JVM stats":"heap_memory_usage: 543538896\nnon_heap_memory_usage: 176757600\nloaded_class_count: 16383\nthread_count: 25\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 0\n gc_time: 0\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":1,"tid":27,"id":2,"name":"base plugin project configure","args":{"span_id":"2","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n"},"ph":"X","ts":1572347806855000,"dur":211000},{"pid":1,"tid":27,"id":3,"name":"base plugin project base extension creation","args":{"span_id":"3","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n"},"ph":"X","ts":1572347807066000,"dur":8000},{"pid":1,"tid":27,"id":5,"name":"task manager create tasks","args":{"span_id":"5","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n"},"ph":"X","ts":1572347807074000,"dur":4000},{"pid":1,"tid":27,"id":4,"name":"base plugin project tasks creation","args":{"span_id":"4","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n"},"ph":"X","ts":1572347807074000,"dur":4000},{"pid":1,"tid":27,"id":8,"name":"variant manager create variants","args":{"span_id":"8","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n"},"ph":"X","ts":1572347807231000,"dur":65000},{"pid":1,"tid":27,"id":9,"name":"variant manager create tests tasks","args":{"span_id":"9","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n"},"ph":"X","ts":1572347807296000,"dur":3000},{"pid":1,"tid":27,"id":11,"name":"app task manager create merge manifest task","args":{"span_id":"11","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807300000,"dur":1000},{"pid":1,"tid":27,"id":12,"name":"app task manager create generate res values task","args":{"span_id":"12","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807301000,"dur":1000},{"pid":1,"tid":27,"id":13,"name":"app task manager create create renderscript task","args":{"span_id":"13","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807302000,"dur":100},{"pid":1,"tid":27,"id":14,"name":"app task manager create merge resources task","args":{"span_id":"14","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807302000,"dur":1000},{"pid":1,"tid":27,"id":15,"name":"app task manager create merge assets task","args":{"span_id":"15","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807303000,"dur":100},{"pid":1,"tid":27,"id":16,"name":"app task manager create build config task","args":{"span_id":"16","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807303000,"dur":100},{"pid":1,"tid":27,"id":17,"name":"app task manager create process res task","args":{"span_id":"17","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807303000,"dur":6000},{"pid":1,"tid":27,"id":18,"name":"app task manager create aidl task","args":{"span_id":"18","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807309000,"dur":1000},{"pid":1,"tid":27,"id":19,"name":"app task manager create shader task","args":{"span_id":"19","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807310000,"dur":1000},{"pid":1,"tid":27,"id":20,"name":"app task manager create ndk task","args":{"span_id":"20","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807311000,"dur":100},{"pid":1,"tid":27,"id":21,"name":"app task manager create external native build task","args":{"span_id":"21","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807311000,"dur":100},{"pid":1,"tid":27,"id":22,"name":"app task manager create merge jnilibs folders task","args":{"span_id":"22","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807311000,"dur":1000},{"pid":1,"tid":27,"id":23,"name":"app task manager create compile task","args":{"span_id":"23","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807312000,"dur":14000},{"pid":1,"tid":27,"id":24,"name":"app task manager create packaging task","args":{"span_id":"24","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807326000,"dur":1000},{"pid":1,"tid":27,"id":25,"name":"app task manager create lint task","args":{"span_id":"25","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807327000,"dur":1000},{"pid":1,"tid":27,"id":10,"name":"variant manager create tasks for variant","args":{"span_id":"10","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807299000,"dur":29000},{"pid":1,"tid":27,"id":26,"name":"variant manager create tasks for variant","args":{"span_id":"26","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n"},"ph":"X","ts":1572347807328000,"dur":8000},{"pid":1,"tid":27,"id":28,"name":"app task manager create merge manifest task","args":{"span_id":"28","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807336000,"dur":1000},{"pid":1,"tid":27,"id":29,"name":"app task manager create generate res values task","args":{"span_id":"29","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807337000,"dur":100},{"pid":1,"tid":27,"id":30,"name":"app task manager create create renderscript task","args":{"span_id":"30","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807337000,"dur":100},{"pid":1,"tid":27,"id":31,"name":"app task manager create merge resources task","args":{"span_id":"31","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807337000,"dur":100},{"pid":1,"tid":27,"id":32,"name":"app task manager create merge assets task","args":{"span_id":"32","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807337000,"dur":100},{"pid":1,"tid":27,"id":33,"name":"app task manager create build config task","args":{"span_id":"33","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807337000,"dur":100},{"pid":1,"tid":27,"id":34,"name":"app task manager create process res task","args":{"span_id":"34","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807337000,"dur":3000},{"pid":1,"tid":27,"id":35,"name":"app task manager create aidl task","args":{"span_id":"35","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807340000,"dur":100},{"pid":1,"tid":27,"id":36,"name":"app task manager create shader task","args":{"span_id":"36","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807340000,"dur":100},{"pid":1,"tid":27,"id":37,"name":"app task manager create ndk task","args":{"span_id":"37","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807340000,"dur":1000},{"pid":1,"tid":27,"id":38,"name":"app task manager create external native build task","args":{"span_id":"38","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807341000,"dur":100},{"pid":1,"tid":27,"id":39,"name":"app task manager create merge jnilibs folders task","args":{"span_id":"39","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807341000,"dur":100},{"pid":1,"tid":27,"id":40,"name":"app task manager create compile task","args":{"span_id":"40","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807341000,"dur":5000},{"pid":1,"tid":27,"id":41,"name":"app task manager create packaging task","args":{"span_id":"41","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807346000,"dur":2000},{"pid":1,"tid":27,"id":42,"name":"app task manager create lint task","args":{"span_id":"42","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807348000,"dur":100},{"pid":1,"tid":27,"id":27,"name":"variant manager create tasks for variant","args":{"span_id":"27","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1572347807336000,"dur":12000},{"pid":1,"tid":27,"id":43,"name":"variant manager create tasks for variant","args":{"span_id":"43","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n"},"ph":"X","ts":1572347807348000,"dur":5000},{"pid":1,"tid":27,"id":44,"name":"variant manager create tasks for variant","args":{"span_id":"44","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n"},"ph":"X","ts":1572347807353000,"dur":25000},{"pid":1,"tid":27,"id":7,"name":"variant manager create android tasks","args":{"span_id":"7","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n"},"ph":"X","ts":1572347807230000,"dur":149000},{"pid":1,"tid":27,"id":45,"name":"variant manager external native config values","args":{"span_id":"45","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n"},"ph":"X","ts":1572347807380000,"dur":100},{"pid":1,"tid":27,"id":6,"name":"base plugin create android tasks","args":{"span_id":"6","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n"},"ph":"X","ts":1572347807079000,"dur":301000},{"pid":1,"tid":0,"id":46,"name":"task: unknown task type","args":{"span_id":"46","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347807410000,"dur":100},{"pid":1,"tid":0,"id":47,"name":"task: app pre build","args":{"span_id":"47","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 92\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347807412000,"dur":239000},{"pid":1,"tid":0,"id":48,"name":"task: aidl compile","args":{"span_id":"48","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 1\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347807654000,"dur":18000},{"pid":1,"tid":0,"id":49,"name":"task: renderscript compile","args":{"span_id":"49","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 54\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347807677000,"dur":7000},{"pid":1,"tid":0,"id":50,"name":"task: check manifest","args":{"span_id":"50","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 8\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347807686000,"dur":1000},{"pid":1,"tid":0,"id":51,"name":"task: generate build config","args":{"span_id":"51","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 24\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347807689000,"dur":4000},{"pid":1,"tid":0,"id":52,"name":"task: prepare lint jar","args":{"span_id":"52","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","task":"type: 119\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347807694000,"dur":1000},{"pid":1,"tid":0,"id":53,"name":"task: generate res values","args":{"span_id":"53","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 26\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347807697000,"dur":1000},{"pid":1,"tid":0,"id":54,"name":"task: unknown task type","args":{"span_id":"54","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347807698000,"dur":100},{"pid":1,"tid":0,"id":55,"name":"task: merge resources","args":{"span_id":"55","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 40\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347807703000,"dur":95000},{"pid":1,"tid":0,"id":56,"name":"task: compatible screens manifest","args":{"span_id":"56","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 9\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347807799000,"dur":2000},{"pid":1,"tid":0,"id":57,"name":"task: merge manifests","args":{"span_id":"57","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 39\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1572347807805000,"dur":119000},{"pid":1,"tid":0,"id":58,"name":"task: splits discovery","args":{"span_id":"58","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 87\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347807926000,"dur":5000},{"pid":1,"tid":0,"id":59,"name":"task: process android resources","args":{"span_id":"59","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 51\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1572347807941000,"dur":1255000},{"pid":1,"tid":0,"id":60,"name":"task: unknown task type","args":{"span_id":"60","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1572347809197000,"dur":100},{"pid":1,"tid":0,"id":61,"name":"task: java pre compile","args":{"span_id":"61","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 76\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347809199000,"dur":10000},{"pid":1,"tid":0,"id":62,"name":"task: android java compile","args":{"span_id":"62","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","task":"type: 3\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1572347809212000,"dur":555000},{"pid":1,"tid":0,"id":63,"name":"task: ndk compile","args":{"span_id":"63","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 43\ndid_work: false\nskipped: true\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1572347809770000,"dur":2000},{"pid":1,"tid":0,"id":64,"name":"task: unknown task type","args":{"span_id":"64","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1572347809773000,"dur":100},{"pid":1,"tid":0,"id":65,"name":"task: merge source set folders","args":{"span_id":"65","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 41\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347809776000,"dur":3000},{"pid":1,"tid":0,"id":66,"name":"task: shader compile","args":{"span_id":"66","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 55\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347809781000,"dur":2000},{"pid":1,"tid":0,"id":67,"name":"task: unknown task type","args":{"span_id":"67","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347809784000,"dur":100},{"pid":1,"tid":0,"id":68,"name":"task: merge source set folders","args":{"span_id":"68","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 41\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347809787000,"dur":12000},{"pid":1,"tid":27,"id":70,"name":"transform prep: fix stack frames","args":{"span_id":"70","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 33\nis_incremental: true\n"},"ph":"X","ts":1572347809833000,"dur":19000},{"pid":1,"tid":27,"id":71,"name":"transform: fix stack frames","args":{"span_id":"71","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 33\nis_incremental: true\n"},"ph":"X","ts":1572347809852000,"dur":6000},{"pid":1,"tid":0,"id":69,"name":"task: transform","args":{"span_id":"69","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 65\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1572347809802000,"dur":58000},{"pid":1,"tid":27,"id":73,"name":"transform prep: desugar","args":{"span_id":"73","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 32\nis_incremental: false\n"},"ph":"X","ts":1572347809961000,"dur":10000},{"pid":1,"tid":27,"id":74,"name":"transform: desugar","args":{"span_id":"74","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 32\nis_incremental: false\n"},"ph":"X","ts":1572347809971000,"dur":5241000},{"pid":1,"tid":0,"id":72,"name":"task: transform","args":{"span_id":"72","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 65\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1572347809863000,"dur":5527000},{"pid":1,"tid":27,"id":76,"name":"transform prep: dex archive builder","args":{"span_id":"76","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 29\nis_incremental: true\n"},"ph":"X","ts":1572347815433000,"dur":100},{"pid":1,"tid":27,"id":77,"name":"transform: dex archive builder","args":{"span_id":"77","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 29\nis_incremental: true\n"},"ph":"X","ts":1572347815433000,"dur":69000},{"pid":1,"tid":0,"id":75,"name":"task: transform","args":{"span_id":"75","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 65\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1572347815392000,"dur":144000},{"pid":1,"tid":27,"id":79,"name":"transform prep: external libs merger","args":{"span_id":"79","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 34\nis_incremental: true\n"},"ph":"X","ts":1572347815568000,"dur":5000},{"pid":1,"tid":27,"id":80,"name":"transform: external libs merger","args":{"span_id":"80","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 34\nis_incremental: true\n"},"ph":"X","ts":1572347815573000,"dur":3000},{"pid":1,"tid":0,"id":78,"name":"task: transform","args":{"span_id":"78","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 65\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1572347815538000,"dur":40000},{"pid":1,"tid":27,"id":82,"name":"transform prep: dex merger","args":{"span_id":"82","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 30\nis_incremental: true\n"},"ph":"X","ts":1572347815615000,"dur":5000},{"pid":1,"tid":27,"id":83,"name":"transform: dex merger","args":{"span_id":"83","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 30\nis_incremental: true\n"},"ph":"X","ts":1572347815620000,"dur":150000},{"pid":1,"tid":0,"id":81,"name":"task: transform","args":{"span_id":"81","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 65\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1572347815581000,"dur":197000},{"pid":1,"tid":0,"id":84,"name":"task: merge source set folders","args":{"span_id":"84","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 41\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347815782000,"dur":4000},{"pid":1,"tid":0,"id":85,"name":"task: transform","args":{"span_id":"85","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 65\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347815790000,"dur":48000},{"pid":1,"tid":0,"id":86,"name":"task: unknown task type","args":{"span_id":"86","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: true\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1572347815840000,"dur":2000},{"pid":1,"tid":0,"id":87,"name":"task: transform","args":{"span_id":"87","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 65\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1572347815846000,"dur":41000},{"pid":1,"tid":0,"id":88,"name":"task: validate signing","args":{"span_id":"88","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 67\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1572347815888000,"dur":3000},{"pid":1,"tid":0,"id":89,"name":"task: package application","args":{"span_id":"89","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: false\nvariant_type: APPLICATION\njava8_lang_support: INTERNAL\nmin_sdk_version {\n api_level: 26\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 45\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1572347815894000,"dur":504000},{"pid":1,"tid":0,"id":90,"name":"task: unknown task type","args":{"span_id":"90","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1572347816398000,"dur":1000},{"pid":1,"tid":27,"id":91,"name":"base plugin build finished","args":{"span_id":"91","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\nmetrics {\n metrics_time_ns: 198100\n apk_size: 2438205\n resources_ap_size: 936512\n}\ncompile_sdk: \"android-26\"\nsplits {\n}\n"},"ph":"X","ts":1572347816400000,"dur":1000}] |
[
{
"ts": "2019-03-20T03:32:21.132Z",
"level": "error",
"error": {
"originalError": {
"name": "NotFound",
"message": "{\n \"status\": 404,\n \"statusText\": \"Not Found\",\n \"message\": \"The resource could not be found.\",\n \"details\": {},\n \"request\": {\n \"url\": \"https://api.contentful.com:443/spaces/8gg3x5fchp7d\",\n \"headers\": {\n \"Accept\": \"application/json, text/plain, */*\",\n \"Content-Type\": \"application/vnd.contentful.management.v1+json\",\n \"X-Contentful-User-Agent\": \"app contentful.import/7.4.3; feature library-import; sdk contentful-management.js/5.2.1; platform node.js/v10.1.0; os macOS/17.7.0;\",\n \"Authorization\": \"Bearer ...dd7a4\",\n \"user-agent\": \"node.js/v10.1.0\",\n \"Accept-Encoding\": \"gzip\"\n },\n \"method\": \"get\"\n },\n \"requestId\": \"2b54e9a716415b396ed3cd8bfac9ff5e\"\n}"
},
"data": {
"status": 404,
"statusText": "Not Found",
"message": "The resource could not be found.",
"details": {
},
"request": {
"url": "https://api.contentful.com:443/spaces/8gg3x5fchp7d",
"headers": {
"Accept": "application/json, text/plain, */*",
"Content-Type": "application/vnd.contentful.management.v1+json",
"X-Contentful-User-Agent": "app contentful.import/7.4.3; feature library-import; sdk contentful-management.js/5.2.1; platform node.js/v10.1.0; os macOS/17.7.0;",
"Authorization": "Bearer ...dd7a4",
"user-agent": "node.js/v10.1.0",
"Accept-Encoding": "gzip"
},
"method": "get"
},
"requestId": "2b54e9a716415b396ed3cd8bfac9ff5e"
}
}
}
] |
{"code":"3308022015","province_code":"33","regency_code":"3308","district_code":"330802","name":"NGADIHARJO"} |
{"notes": [{"tddate": null, "ddate": null, "tmdate": 1525095336729, "tcdate": 1525095336729, "number": 8, "cdate": 1525095336729, "id": "ryZ3jq4aM", "invitation": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "forum": "By4HsfWAZ", "replyto": "By4HsfWAZ", "signatures": ["ICLR.cc/2018/Conference/Paper924/Authors"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference/Paper924/Authors"], "content": {"title": "Code release", "comment": "Please checkout our implementation at https://github.com/emited/flow "}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1516825725715, "id": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "reply": {"replyto": null, "forum": "By4HsfWAZ", "writers": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs"}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Paper924/Authors_and_Higher", "ICLR.cc/2018/Conference/Paper924/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Paper924/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2018/Conference/Paper924/Reviewers", "ICLR.cc/2018/Conference/Paper924/Authors", "ICLR.cc/2018/Conference/Paper924/Area_Chair", "ICLR.cc/2018/Conference/Program_Chairs"], "cdate": 1516825725715}}}, {"tddate": null, "ddate": null, "tmdate": 1518730161056, "tcdate": 1509137219505, "number": 924, "cdate": 1518730161044, "id": "By4HsfWAZ", "invitation": "ICLR.cc/2018/Conference/-/Blind_Submission", "forum": "By4HsfWAZ", "original": "SkZXoGZC-", "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference"], "content": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "nonreaders": [], "details": {"replyCount": 16, "writable": false, "overwriting": [], "revisions": true, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1506717071958, "id": "ICLR.cc/2018/Conference/-/Blind_Submission", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2018/Conference"], "reply": {"forum": null, "replyto": null, "writers": {"values": ["ICLR.cc/2018/Conference"]}, "signatures": {"description": "How your identity will be displayed with the above content.", "values": ["ICLR.cc/2018/Conference"]}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"authors": {"required": false, "order": 1, "values-regex": ".*", "description": "Comma separated list of author names, as they appear in the paper."}, "authorids": {"required": false, "order": 2, "values-regex": ".*", "description": "Comma separated list of author email addresses, in the same order as above."}}}, "nonreaders": [], "noninvitees": [], "cdate": 1506717071958}}, "tauthor": "ICLR.cc/2018/Conference"}, {"tddate": null, "ddate": null, "tmdate": 1518258950685, "tcdate": 1518258950685, "number": 4, "cdate": 1518258950685, "id": "SJJfor3UM", "invitation": "ICLR.cc/2018/Conference/-/Paper924/Public_Comment", "forum": "By4HsfWAZ", "replyto": "By4HsfWAZ", "signatures": ["(anonymous)"], "readers": ["everyone"], "writers": ["(anonymous)"], "content": {"title": "Code", "comment": "Really nice work.\nIn the paper, you stated that the code would be made available upon publication. \nGiven that the final decisions are out and the paper is accepted could you open source your implementation?\n"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1512791676079, "id": "ICLR.cc/2018/Conference/-/Paper924/Public_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "invitees": ["~"], "reply": {"replyto": null, "forum": "By4HsfWAZ", "writers": {"values-regex": "~.*|\\(anonymous\\)"}, "signatures": {"values-regex": "~.*|\\(anonymous\\)", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Authors_and_Higher", "ICLR.cc/2018/Conference/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": ["ICLR.cc/2018/Conference/Paper924/Authors", "ICLR.cc/2018/Conference/Paper924/Reviewers", "ICLR.cc/2018/Conference/Paper924/Area_Chair"], "cdate": 1512791676079}}}, {"tddate": null, "ddate": null, "original": null, "tmdate": 1517260097619, "tcdate": 1517249361561, "number": 146, "cdate": 1517249361549, "id": "r19L7J6HM", "invitation": "ICLR.cc/2018/Conference/-/Acceptance_Decision", "forum": "By4HsfWAZ", "replyto": "By4HsfWAZ", "signatures": ["ICLR.cc/2018/Conference/Program_Chairs"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference/Program_Chairs"], "content": {"title": "ICLR 2018 Conference Acceptance Decision", "comment": "This paper proposes to use data-driven deep convolutional architectures for modeling advection diffusion. It is well motivated and comes with convincing numerical experiments.\nReviewers agreed that this is a worthy contribution to ICLR with the potential to trigger further research in the interplay between deep learning and physics. ", "decision": "Accept (Poster)"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"id": "ICLR.cc/2018/Conference/-/Acceptance_Decision", "rdate": null, "ddate": null, "expdate": 1541175629000, "duedate": null, "tmdate": 1541177635767, "tddate": null, "super": null, "final": null, "reply": {"forum": null, "replyto": null, "invitation": "ICLR.cc/2018/Conference/-/Blind_Submission", "writers": {"values": ["ICLR.cc/2018/Conference/Program_Chairs"]}, "signatures": {"description": "How your identity will be displayed with the above content.", "values": ["ICLR.cc/2018/Conference/Program_Chairs"]}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["ICLR.cc/2018/Conference/Program_Chairs", "everyone"]}, "content": {"title": {"required": true, "order": 1, "value": "ICLR 2018 Conference Acceptance Decision"}, "comment": {"required": false, "order": 3, "description": "(optional) Comment on this decision.", "value-regex": "[\\S\\s]{0,5000}"}, "decision": {"required": true, "order": 2, "value-dropdown": ["Accept (Oral)", "Accept (Poster)", "Reject", "Invite to Workshop Track"]}}}, "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "nonreaders": [], "invitees": [], "noninvitees": [], "writers": ["ICLR.cc/2018/Conference"], "multiReply": null, "taskCompletionCount": null, "transform": null, "cdate": 1541177635767}}}, {"tddate": null, "ddate": null, "original": null, "tmdate": 1515642531481, "tcdate": 1511734349267, "number": 1, "cdate": 1511734349267, "id": "BJBU32dgz", "invitation": "ICLR.cc/2018/Conference/-/Paper924/Official_Review", "forum": "By4HsfWAZ", "replyto": "By4HsfWAZ", "signatures": ["ICLR.cc/2018/Conference/Paper924/AnonReviewer1"], "readers": ["everyone"], "content": {"title": "The proposed method is interesting and offers nice perspectives for assimilation method. It opens interesting questions.", "rating": "7: Good paper, accept", "review": "The paper \u2018Deep learning for Physical Process: incorporating prior physical knowledge\u2019 proposes\nto question the use of data-intensive strategies such as deep learning in solving physical \ninverse problems that are traditionally solved through assimilation strategies. They notably show\nhow physical priors on a given phenomenon can be incorporated in the learning process and propose \nan application on the problem of estimating sea surface temperature directly from a given \ncollection of satellite images.\n\nAll in all the paper is very clear and interesting. The results obtained on the considered problem\nare clearly of great interest, especially when compared to state-of-the-art assimilation strategies\nsuch as the one of B\u00e9r\u00e9ziat. While the learning architecture is not original in itself, it is \nshown that a proper physical regularization greatly improves the performance. For these reasons I \nbelieve the paper has sufficient merits to be published at ICLR. That being said, I believe that \nsome discussions could strengthen the paper:\n - Most classical variational assimilation schemes are stochastic in nature, notably by incorporating\nuncertainties in the observation or physical evolution models. It is still unclear how those uncertainties \ncan be integrated in the model;\n - Assimilation methods are usually independent of the type of data at hand. It is not clear how the model\nlearnt on one particular type of data transpose to other data sequences. Notably, the question of transfer\nand generalization is of high relevance here. Does the learnt model performs well on other dataset (for instance,\nacquired on a different region or at a distant time). I believe this type of issue has to be examinated \nfor this type of approach to be widely use in inverse physical problems. \n", "confidence": "3: The reviewer is fairly confident that the evaluation is correct"}, "writers": [], "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "duedate": 1511845199000, "tmdate": 1515642531391, "id": "ICLR.cc/2018/Conference/-/Paper924/Official_Review", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2018/Conference/Paper924/Reviewers"], "noninvitees": ["ICLR.cc/2018/Conference/Paper924/AnonReviewer1", "ICLR.cc/2018/Conference/Paper924/AnonReviewer2", "ICLR.cc/2018/Conference/Paper924/AnonReviewer3"], "reply": {"forum": "By4HsfWAZ", "replyto": "By4HsfWAZ", "writers": {"values": []}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"title": {"required": true, "order": 1, "description": "Brief summary of your review.", "value-regex": ".{0,500}"}, "review": {"required": true, "order": 2, "description": "Please provide an evaluation of the quality, clarity, originality and significance of this work, including a list of its pros and cons.", "value-regex": "[\\S\\s]{1,200000}"}, "rating": {"required": true, "order": 3, "value-dropdown": ["10: Top 5% of accepted papers, seminal paper", "9: Top 15% of accepted papers, strong accept", "8: Top 50% of accepted papers, clear accept", "7: Good paper, accept", "6: Marginally above acceptance threshold", "5: Marginally below acceptance threshold", "4: Ok but not good enough - rejection", "3: Clear rejection", "2: Strong rejection", "1: Trivial or wrong"]}, "confidence": {"required": true, "order": 4, "value-radio": ["5: The reviewer is absolutely certain that the evaluation is correct and very familiar with the relevant literature", "4: The reviewer is confident but not absolutely certain that the evaluation is correct", "3: The reviewer is fairly confident that the evaluation is correct", "2: The reviewer is willing to defend the evaluation, but it is quite likely that the reviewer did not understand central parts of the paper", "1: The reviewer's evaluation is an educated guess"]}}}, "nonreaders": [], "expdate": 1519621199000, "cdate": 1515642531391}}}, {"tddate": null, "ddate": null, "original": null, "tmdate": 1515642531444, "tcdate": 1511811112024, "number": 2, "cdate": 1511811112024, "id": "SyeN_yclz", "invitation": "ICLR.cc/2018/Conference/-/Paper924/Official_Review", "forum": "By4HsfWAZ", "replyto": "By4HsfWAZ", "signatures": ["ICLR.cc/2018/Conference/Paper924/AnonReviewer2"], "readers": ["everyone"], "content": {"title": "interesting connection", "rating": "7: Good paper, accept", "review": "In this paper, the authors show how a Deep Learning model for sea surface temperature prediction can be designed to incorporate the classical advection diffusion model. The architecture includes a differentiable warping scheme which allows back propagation of the error and is inspired by the fundamental solution of the PDE model. They evaluate the suggested model on synthetic data and outperform the current state of the art in terms of accuracy.\n\npros\n- the paper is written in a clear and concise manner\n- it suggests an interesting connection between a traditional model and Deep Learning techniques\n- in the experiments they trained the network on 64 x 64 patches and achieved convincing results\n\ncons\n- please provide the value of the diffusion coefficient for the sake of reproducibility\n- medium resolution of the resulting prediction\n\n\nI enjoyed reading this paper and would like it to be accepted.\n\nminor comments:\n- on page five in the last paragraph there is a left parenthesis missing in the inline formula nabla dot w_t(x))^2.\n- on page nine in the last paragraph there is the word 'flow' missing: '.. estimating the optical [!] between 2 [!] images.'\n- in the introduction (page two) the authors refer to SST prediction as a 'relatively complex physical modeling problem', whereas in the conclusion (page ten) it is referred to as 'a problem of intermediate complexity'. This seems to be inconsistent.", "confidence": "3: The reviewer is fairly confident that the evaluation is correct"}, "writers": [], "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "duedate": 1511845199000, "tmdate": 1515642531391, "id": "ICLR.cc/2018/Conference/-/Paper924/Official_Review", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2018/Conference/Paper924/Reviewers"], "noninvitees": ["ICLR.cc/2018/Conference/Paper924/AnonReviewer1", "ICLR.cc/2018/Conference/Paper924/AnonReviewer2", "ICLR.cc/2018/Conference/Paper924/AnonReviewer3"], "reply": {"forum": "By4HsfWAZ", "replyto": "By4HsfWAZ", "writers": {"values": []}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"title": {"required": true, "order": 1, "description": "Brief summary of your review.", "value-regex": ".{0,500}"}, "review": {"required": true, "order": 2, "description": "Please provide an evaluation of the quality, clarity, originality and significance of this work, including a list of its pros and cons.", "value-regex": "[\\S\\s]{1,200000}"}, "rating": {"required": true, "order": 3, "value-dropdown": ["10: Top 5% of accepted papers, seminal paper", "9: Top 15% of accepted papers, strong accept", "8: Top 50% of accepted papers, clear accept", "7: Good paper, accept", "6: Marginally above acceptance threshold", "5: Marginally below acceptance threshold", "4: Ok but not good enough - rejection", "3: Clear rejection", "2: Strong rejection", "1: Trivial or wrong"]}, "confidence": {"required": true, "order": 4, "value-radio": ["5: The reviewer is absolutely certain that the evaluation is correct and very familiar with the relevant literature", "4: The reviewer is confident but not absolutely certain that the evaluation is correct", "3: The reviewer is fairly confident that the evaluation is correct", "2: The reviewer is willing to defend the evaluation, but it is quite likely that the reviewer did not understand central parts of the paper", "1: The reviewer's evaluation is an educated guess"]}}}, "nonreaders": [], "expdate": 1519621199000, "cdate": 1515642531391}}}, {"tddate": null, "ddate": null, "original": null, "tmdate": 1515642531408, "tcdate": 1512370613416, "number": 3, "cdate": 1512370613416, "id": "Bk6nbuf-M", "invitation": "ICLR.cc/2018/Conference/-/Paper924/Official_Review", "forum": "By4HsfWAZ", "replyto": "By4HsfWAZ", "signatures": ["ICLR.cc/2018/Conference/Paper924/AnonReviewer3"], "readers": ["everyone"], "content": {"title": "Learning the dynamics of an advection-diffusion equation from satellite images using CNNs, with a little help from then mechanistic model.", "rating": "6: Marginally above acceptance threshold", "review": "The authors use deep learning to learn a surrogate model for the motion vector in the advection-diffusion equation that they use to forecast sea surface temperature. In particular, they use a CNN encoder-decoder to learn a motion field, and a warping function from the last component to provide forecasting. \n\nI like the idea of using deep learning for physical equations. I would like to see a description of the algorithm with the pseudo-code in order to understand the flow of the method. I got confused at several points because it was not clear what was exactly being estimated with the CNN. Having an algorithmic environment would make the description easier. I know that authors are going to publish the code, but this is not enough at this point of the revision. \n\nPhysical processes in Machine learning have been studied from the perspective of Gaussian processes. Just to mention a couple of references \u201cLinear latent force models using Gaussian processes\u201d and \"Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations\"\n\nIn Theorem 2, do you need to care about boundary conditions for your equation? I didn\u2019t see any mention to those in the definition for I(x,t). You only mention initial conditions. How do you estimate the diffusion parameter D? Are you assuming isotropic diffusion? Is that realistic? Can you provide more details about how you run the data assimilation model in the experiments? Did you use your own code?\n", "confidence": "2: The reviewer is willing to defend the evaluation, but it is quite likely that the reviewer did not understand central parts of the paper"}, "writers": [], "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "duedate": 1511845199000, "tmdate": 1515642531391, "id": "ICLR.cc/2018/Conference/-/Paper924/Official_Review", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2018/Conference/Paper924/Reviewers"], "noninvitees": ["ICLR.cc/2018/Conference/Paper924/AnonReviewer1", "ICLR.cc/2018/Conference/Paper924/AnonReviewer2", "ICLR.cc/2018/Conference/Paper924/AnonReviewer3"], "reply": {"forum": "By4HsfWAZ", "replyto": "By4HsfWAZ", "writers": {"values": []}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"title": {"required": true, "order": 1, "description": "Brief summary of your review.", "value-regex": ".{0,500}"}, "review": {"required": true, "order": 2, "description": "Please provide an evaluation of the quality, clarity, originality and significance of this work, including a list of its pros and cons.", "value-regex": "[\\S\\s]{1,200000}"}, "rating": {"required": true, "order": 3, "value-dropdown": ["10: Top 5% of accepted papers, seminal paper", "9: Top 15% of accepted papers, strong accept", "8: Top 50% of accepted papers, clear accept", "7: Good paper, accept", "6: Marginally above acceptance threshold", "5: Marginally below acceptance threshold", "4: Ok but not good enough - rejection", "3: Clear rejection", "2: Strong rejection", "1: Trivial or wrong"]}, "confidence": {"required": true, "order": 4, "value-radio": ["5: The reviewer is absolutely certain that the evaluation is correct and very familiar with the relevant literature", "4: The reviewer is confident but not absolutely certain that the evaluation is correct", "3: The reviewer is fairly confident that the evaluation is correct", "2: The reviewer is willing to defend the evaluation, but it is quite likely that the reviewer did not understand central parts of the paper", "1: The reviewer's evaluation is an educated guess"]}}}, "nonreaders": [], "expdate": 1519621199000, "cdate": 1515642531391}}}, {"tddate": null, "ddate": null, "tmdate": 1515080618033, "tcdate": 1515080618033, "number": 7, "cdate": 1515080618033, "id": "Skf3ipimM", "invitation": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "forum": "By4HsfWAZ", "replyto": "By4HsfWAZ", "signatures": ["ICLR.cc/2018/Conference/Paper924/Authors"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference/Paper924/Authors"], "content": {"title": "Summary of the corrections in the updated version of the paper :", "comment": "- Minor corrections and typos, as suggested by the reviewers. This includes imprecision and missing references.\n\n- A new paragraph has been included in the section \"conclusion and future directions\" for answering the comment of reviewer 2 regarding the modeling of uncertainty in the proposed model.\n\n- A more detailed proof of our theorem 1 as been added in Appendix A.\n\n- Some additional experiments were added in Appendix B, for answering (partially) the questions of reviewer 1 regarding the capacity of the model to generalize to new situations.\n"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1516825725715, "id": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "reply": {"replyto": null, "forum": "By4HsfWAZ", "writers": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs"}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Paper924/Authors_and_Higher", "ICLR.cc/2018/Conference/Paper924/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Paper924/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2018/Conference/Paper924/Reviewers", "ICLR.cc/2018/Conference/Paper924/Authors", "ICLR.cc/2018/Conference/Paper924/Area_Chair", "ICLR.cc/2018/Conference/Program_Chairs"], "cdate": 1516825725715}}}, {"tddate": null, "ddate": null, "tmdate": 1514493635211, "tcdate": 1514493635211, "number": 6, "cdate": 1514493635211, "id": "r1saUCzXG", "invitation": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "forum": "By4HsfWAZ", "replyto": "SyeN_yclz", "signatures": ["ICLR.cc/2018/Conference/Paper924/Authors"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference/Paper924/Authors"], "content": {"title": "Answers", "comment": "Thanks a lot for the suggestions and comment, we corrected the mistakes in the updated version. \n\nThe value of the diffusion coefficient in this case is 0.45, we have precised it in the updated version.\nWe chose this value of the image resolution in order to limit the complexity of the computations, but the model could be used as well with larger images.\n\n"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1516825725715, "id": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "reply": {"replyto": null, "forum": "By4HsfWAZ", "writers": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs"}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Paper924/Authors_and_Higher", "ICLR.cc/2018/Conference/Paper924/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Paper924/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2018/Conference/Paper924/Reviewers", "ICLR.cc/2018/Conference/Paper924/Authors", "ICLR.cc/2018/Conference/Paper924/Area_Chair", "ICLR.cc/2018/Conference/Program_Chairs"], "cdate": 1516825725715}}}, {"tddate": null, "ddate": null, "tmdate": 1514493579205, "tcdate": 1514493579205, "number": 5, "cdate": 1514493579205, "id": "rkX5LRzmz", "invitation": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "forum": "By4HsfWAZ", "replyto": "BJBU32dgz", "signatures": ["ICLR.cc/2018/Conference/Paper924/Authors"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference/Paper924/Authors"], "content": {"title": "Answers", "comment": "\nThanks a lot for your comments and suggestions.\n\n1. Incorporating uncertainty in the model\nThis is the next step of our work. We could introduce uncertainties in different forms. We started to work on a variant of this model using a scheme similar to conditional VAE (Variational Auto Encoder) with the idea that the model should be able to predict multiple potential vector flow candidates instead of a mean value. VAEs allow sampling from noise distributions and then generating diverse candidates. We have added a paragraph in the \u201cConclusion and future work\u201d section where we discuss this point and provide some references indicating what type of approach could be used.\n\n\n2. Generalization to other instances\n\n\nWe agree that the potential of the model should also be evaluated for other conditions and at other places. This is however a whole study by itself involving dealing with different datasets, and performing many different types of tests. For now we do not have the availability of such datasets and this is left for further study.\nIn order to provide some indications on the generalization performance, we however performed some additional tests on the available data. We evaluated the model on data distant in time and in space. For the former, we trained the model on the period 2011-2017 and tested on 2006-2010. The regions are the same as the one used in the main text (regions numbered 17 to 20 on figure 4). We have plotted the daily MSE on Figure 6 appendix B in the new version of the paper. The conclusion is that the range of error remains the same and there is a slight tendency for the error to increase when the time distance between test and train increases too. \n For the latter (sequences from different regions), we have trained the model on 2 regions and tested on 2 other regions (and permuted the couples of regions). The two couples of regions have different dynamics. Results are provided on table 2, appendix B. The conclusion here is again that the range of error values remains the same. The error depends more on the region dynamics than on the train / test conditions. For regions with high dynamics, the loss is higher than for stable regions. Performance degrades more for the former regions than for the latter when the training set is sampled from a different region. Extensive additional tests should be performed in order to go beyond these partial conclusions.\n\nNote also that it is possible to fine-tune the model using available data of the specific zone in question. Other work, such as [Fischer and al], or [Ilg and al], suggest that deep models trained to predict a motion vector field can generalize from synthetic to real data, and when fine-tuned, there is an improvement in performance.\n\n[Fischer and al]: https://arxiv.org/abs/1504.06852\n[Ilg and al]: https://arxiv.org/abs/1612.01925\n"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1516825725715, "id": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "reply": {"replyto": null, "forum": "By4HsfWAZ", "writers": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs"}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Paper924/Authors_and_Higher", "ICLR.cc/2018/Conference/Paper924/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Paper924/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2018/Conference/Paper924/Reviewers", "ICLR.cc/2018/Conference/Paper924/Authors", "ICLR.cc/2018/Conference/Paper924/Area_Chair", "ICLR.cc/2018/Conference/Program_Chairs"], "cdate": 1516825725715}}}, {"tddate": null, "ddate": null, "tmdate": 1514493524648, "tcdate": 1514493524648, "number": 4, "cdate": 1514493524648, "id": "Skp8ICG7f", "invitation": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "forum": "By4HsfWAZ", "replyto": "Bk6nbuf-M", "signatures": ["ICLR.cc/2018/Conference/Paper924/Authors"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference/Paper924/Authors"], "content": {"title": "Answers ", "comment": "Thanks a lot for your comments. \n\n1. As you mentioned, the model is composed of two components: a CDNN which acts as a motion estimator, and a warping mechanism which predicts the future observation by moving the present observation along the motion field. The output of the CDNN is a vector field, i.e. a tensor of size WxHx2 where W and H are the width and height of the input images, and \u20182\u2019 corresponds to the velocity.\n\nInference and training work as follows:\n\nInference - Input: an image sequence (I_t-k+1,...,I_t) of k consecutive images representing temperature acquisitions. Output: an image sequence ( \\hat{I}_t+1, \\hat{I}_t+K) of K consecutive image predictions. Given the inputs (I_t-k+1,...,I_t) the CDNN will compute an estimated vector field \\hat{w}_t. This vector field is then used to advect image I_t so as to compute an estimate of the future observation I_t+1. For multiple time step prediction (i.e. K > 1), the computed output \\hat{I}_t+1 is fed back into the CDNN, leading to the following input sequence (I_t-k+2, \u2026, I_t, \\hat{I}_t+1) for estimating motion w_t+1. One can then estimate I_t+2 by advecting image \\hat{I}_t+1 using \\hat{w}_t+1, and so on.\n\nTraining - The training set is a consecutive sequence of images. An example is sampled from the training set and a loss value is computed between the model prediction and the target. Since the warping scheme (the solution to the advection-diffusion equation) is entirely differentiable, the gradient of the loss can be backpropagated through this component for modifying the parameters the CDNN module. \n\nBelow is a pseudo-code for the training step\n\nInput: training set : sequence of SST images I_{1:T}\nOutput: trained model parameters (CDNN parameters)\nIterate until convergence\n-- Sample a sequence I_{t- k+1 : t+K} of images\n\n-- Forward pass of the model: using I_{t-k+1 : t }, we infer K future observations I_{t+1 : t+K} using the inference scheme proposed above.\n\n-- Compute the loss between the targets and model predictions.\n\n-- Backward pass of the model. The gradient of the loss function with respect to the CDNN parameters is back propagated through the warping scheme in order to update the CDNN parameters via SGD (in the experiments we used Adam).\n\n2. Thanks for the references on Gaussian processes. We did not go through the GP literature on the topic of physico-statistical modeling. Even if the methods and the application are different, the motivation and arguments are clearly similar. We have added the references you suggested in the new version of the paper plus additional references in the related work section, under \u2018ML for Physical modeling\u2019.\n\n3. In the theorem, a sufficient condition for the existence of this solution of the advection-diffusion equation, is that the image function I is square-integrable, (the square of I is Lebesgue integrable). A consequence is that I tends to zero as x approaches infinity. This will allow us to calculate the solution. In practice, we do consider that I has a compact support, i.e. I is zero outside its definition domain \\Omega. This latter case is more specific than the square integrable hypothesis, and the theorem still applies. We have added a more detailed proof of the theorem in the appendix.\n\n4. We did make the hypothesis that diffusion is isotropic and this is one of the simplification hypotheses adopted in the paper. Our intention was to give a proof of concept about the incorporation of prior knowledge, and to show that the proposed approach performed on par with more complex state of the art assimilation methods. If we focused on the application itself, improvements could probably be brought by including additional priors. In particular, attention mechanisms could be added to the warping mechanism for modeling anisotropy.\n\n5. The diffusion parameter D is estimated on a validation set and its value is 0.45 - this is now indicated in the paper.\n \n6. The data assimilation code is run with a specific code provided by the authors of (Bereziat 2015). We had several interactions with the paper authors while performing the tests with their methods.\n"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1516825725715, "id": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "reply": {"replyto": null, "forum": "By4HsfWAZ", "writers": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs"}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Paper924/Authors_and_Higher", "ICLR.cc/2018/Conference/Paper924/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Paper924/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2018/Conference/Paper924/Reviewers", "ICLR.cc/2018/Conference/Paper924/Authors", "ICLR.cc/2018/Conference/Paper924/Area_Chair", "ICLR.cc/2018/Conference/Program_Chairs"], "cdate": 1516825725715}}}, {"tddate": null, "ddate": null, "tmdate": 1511451393132, "tcdate": 1511451393132, "number": 3, "cdate": 1511451393132, "id": "BkK-sP4xf", "invitation": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "forum": "By4HsfWAZ", "replyto": "H1UFgYQlG", "signatures": ["ICLR.cc/2018/Conference/Paper924/Authors"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference/Paper924/Authors"], "content": {"title": "Reply", "comment": "To approximate the values of the spatial derivatives, we use the forward Euler method, i.e. \\frac{\\partial u}{\\partial x} \\approx \\frac{u_{n+1, k} - u_{n, k}}{\\Delta x}, were x is the spatial discretisation value, and n and k are the spatial indices of the pixels."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1516825725715, "id": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "reply": {"replyto": null, "forum": "By4HsfWAZ", "writers": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs"}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Paper924/Authors_and_Higher", "ICLR.cc/2018/Conference/Paper924/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Paper924/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2018/Conference/Paper924/Reviewers", "ICLR.cc/2018/Conference/Paper924/Authors", "ICLR.cc/2018/Conference/Paper924/Area_Chair", "ICLR.cc/2018/Conference/Program_Chairs"], "cdate": 1516825725715}}}, {"tddate": null, "ddate": null, "tmdate": 1511391357934, "tcdate": 1511391357934, "number": 3, "cdate": 1511391357934, "id": "H1UFgYQlG", "invitation": "ICLR.cc/2018/Conference/-/Paper924/Public_Comment", "forum": "By4HsfWAZ", "replyto": "HJdRxVkgM", "signatures": ["(anonymous)"], "readers": ["everyone"], "writers": ["(anonymous)"], "content": {"title": "Thanks for the reply", "comment": "Just for completeness, do you approximate the derivatives via numerical difference, given that you are predicting over a discrete set of coordinates? E.g.:\n\\frac{\\partial u }{\\partial x} \\approx \\sum_{i,j \\in Dom} \\frac{u(i,j) - u(i-1,j)}{\\delta}"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1512791676079, "id": "ICLR.cc/2018/Conference/-/Paper924/Public_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "invitees": ["~"], "reply": {"replyto": null, "forum": "By4HsfWAZ", "writers": {"values-regex": "~.*|\\(anonymous\\)"}, "signatures": {"values-regex": "~.*|\\(anonymous\\)", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Authors_and_Higher", "ICLR.cc/2018/Conference/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": ["ICLR.cc/2018/Conference/Paper924/Authors", "ICLR.cc/2018/Conference/Paper924/Reviewers", "ICLR.cc/2018/Conference/Paper924/Area_Chair"], "cdate": 1512791676079}}}, {"tddate": null, "ddate": null, "tmdate": 1511108815785, "tcdate": 1511108815785, "number": 2, "cdate": 1511108815785, "id": "HJdRxVkgM", "invitation": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "forum": "By4HsfWAZ", "replyto": "H1lXnCjyG", "signatures": ["ICLR.cc/2018/Conference/Paper924/Authors"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference/Paper924/Authors"], "content": {"title": "Answer", "comment": "1. Gradient and divergence are computed wrt to the spatial variables x and y. To be more precise :\n\n \\left \\| \\nabla w \\right \\|^2 = (\\frac{\\partial u }{\\partial x})^2 + (\\frac{\\partial u }{\\partial y})^2 + (\\frac{\\partial v }{\\partial x})^2 + (\\frac{\\partial v }{\\partial y})^2\n\nand \n\n(\\nabla . w)^2 = ( \\frac{\\partial u}{\\partial x} + \\frac{\\partial v}{\\partial y})^2\n\n2. We used directly the data generated by NEMO and available at\n\nhttp://marine.copernicus.eu/services-portfolio/access-to-products/?option=com_csw&view=details&product_id=GLOBAL_ANALYSIS_FORECAST_PHY_001_024\n"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1516825725715, "id": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "reply": {"replyto": null, "forum": "By4HsfWAZ", "writers": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs"}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Paper924/Authors_and_Higher", "ICLR.cc/2018/Conference/Paper924/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Paper924/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2018/Conference/Paper924/Reviewers", "ICLR.cc/2018/Conference/Paper924/Authors", "ICLR.cc/2018/Conference/Paper924/Area_Chair", "ICLR.cc/2018/Conference/Program_Chairs"], "cdate": 1516825725715}}}, {"tddate": null, "ddate": null, "tmdate": 1510890520305, "tcdate": 1510890520305, "number": 2, "cdate": 1510890520305, "id": "H1lXnCjyG", "invitation": "ICLR.cc/2018/Conference/-/Paper924/Public_Comment", "forum": "By4HsfWAZ", "replyto": "By4HsfWAZ", "signatures": ["(anonymous)"], "readers": ["everyone"], "writers": ["(anonymous)"], "content": {"title": "Interesting paper", "comment": "Nice work, really happy to see combining physics with DL does give such nice results. \nI was wondering if you could answer a few questions:\n1. In the regularization scheme - equation 6 - you are using the gradient and the divergence. With respect to what quantity (e.g. the input?) are you taking the gradient, and if it is the input, what is exactly is the divergence than when the input is not the cartesian coordinates but numerical values?\n\n2. Could you elaborate in more detail of how \"exactly\" did you use NEMO in order to obtain the data used for training? My understanding is that you used the NOAA6 data and assimilate it into the NEMO engine. However, there are a few core engines under the NEMO project. I know this might be frustrating but for reproducibility, this would be very helpful as I don't think many people are familiar with the software. Or of how to actually to obtain the data from NOAA6.\n"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1512791676079, "id": "ICLR.cc/2018/Conference/-/Paper924/Public_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "invitees": ["~"], "reply": {"replyto": null, "forum": "By4HsfWAZ", "writers": {"values-regex": "~.*|\\(anonymous\\)"}, "signatures": {"values-regex": "~.*|\\(anonymous\\)", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Authors_and_Higher", "ICLR.cc/2018/Conference/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": ["ICLR.cc/2018/Conference/Paper924/Authors", "ICLR.cc/2018/Conference/Paper924/Reviewers", "ICLR.cc/2018/Conference/Paper924/Area_Chair"], "cdate": 1512791676079}}}, {"tddate": null, "ddate": null, "original": null, "tmdate": 1510092431154, "tcdate": 1510079170444, "number": 1, "cdate": 1510079170444, "id": "Sy569OJ1G", "invitation": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "forum": "By4HsfWAZ", "replyto": "SykEv6KRW", "signatures": ["ICLR.cc/2018/Conference/Paper924/Authors"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference/Paper924/Authors"], "content": {"title": "Answer to technical questions", "comment": "Thank you for the questions and remarks.\n\n1. Since the integration is on R^2, we introduce the two corresponding 1-D variables, we then separate the Fourier transform of the advection term into two terms corresponding to each variable. Using an integration by parts for both terms and re-integrating with respect to the other variable, we obtain the solution. We will provide the details in a updated version.\n2. The parameter k was chosen by testing on the validation set. The optimal tradeoff between complexity and accuracy appears to be k=4.\n3. If the value of the pixel comes from outside the frame, we use the mean value of the pixels of the image. Since this is not informative, the model thus learns not to use values coming from outside the frame. \n4. The diffusion coefficient is set as an hyperpameter. \n"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1516825725715, "id": "ICLR.cc/2018/Conference/-/Paper924/Official_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "reply": {"replyto": null, "forum": "By4HsfWAZ", "writers": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs"}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper924/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper924/Authors|ICLR.cc/2018/Conference/Paper924/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Paper924/Authors_and_Higher", "ICLR.cc/2018/Conference/Paper924/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Paper924/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2018/Conference/Paper924/Reviewers", "ICLR.cc/2018/Conference/Paper924/Authors", "ICLR.cc/2018/Conference/Paper924/Area_Chair", "ICLR.cc/2018/Conference/Program_Chairs"], "cdate": 1516825725715}}}, {"tddate": null, "ddate": null, "tmdate": 1509705510706, "tcdate": 1509705510706, "number": 1, "cdate": 1509705510706, "id": "SykEv6KRW", "invitation": "ICLR.cc/2018/Conference/-/Paper924/Public_Comment", "forum": "By4HsfWAZ", "replyto": "By4HsfWAZ", "signatures": ["(anonymous)"], "readers": ["everyone"], "writers": ["(anonymous)"], "content": {"title": "technical questions", "comment": "Hi,\n\ninteresting paper. Could you please clarify the few details below?\n\n1. In the proof of the theorem, how exactly did you obtain the fourier transform of the advection term of the PDE?\n2. you mention that the input to the network is a \"sequence of k consecutive SST images\": what value of \"k\" did you use?\n3. When applying the warping scheme, what is the policy for when the previous position \"x - w\" falls outside of the boundaries of the images?\n4. Still in the warping scheme, how do you estimate the diffusion coefficient D?\n\nThank you and apologies if the answers are in the paper and I missed them."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge", "abstract": "We consider the use of Deep Learning methods for modeling complex phenomena like those occurring in natural physical processes. With the large amount of data gathered on these phenomena the data intensive paradigm could begin to challenge more traditional approaches elaborated over the years in fields like maths or physics. However, despite considerable successes in a variety of application domains, the machine learning field is not yet ready to handle the level of complexity required by such problems. Using an example application, namely Sea Surface Temperature Prediction, we show how general background knowledge gained from the physics could be used as a guideline for designing efficient Deep Learning models. In order to motivate the approach and to assess its generality we demonstrate a formal link between the solution of a class of differential equations underlying a large family of physical phenomena and the proposed model. Experiments and comparison with series of baselines including a state of the art numerical approach is then provided.", "pdf": "/pdf/a6a0e54ca00e7083e596b0caf84c336505406fc3.pdf", "paperhash": "bezenac|deep_learning_for_physical_processes_incorporating_prior_scientific_knowledge", "_bibtex": "@inproceedings{\nde2018deep,\ntitle={Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge},\nauthor={Emmanuel de Bezenac and Arthur Pajot and Patrick Gallinari},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=By4HsfWAZ},\n}", "keywords": ["deep learning", "physical processes", "forecasting", "spatio-temporal"], "authors": ["Emmanuel de Bezenac", "Arthur Pajot", "Patrick Gallinari"], "authorids": ["emmanuel.de_bezenac@lip6.fr", "arthur.pajot@lip6.fr", "patrick.gallinari@lip6.fr"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1512791676079, "id": "ICLR.cc/2018/Conference/-/Paper924/Public_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "invitees": ["~"], "reply": {"replyto": null, "forum": "By4HsfWAZ", "writers": {"values-regex": "~.*|\\(anonymous\\)"}, "signatures": {"values-regex": "~.*|\\(anonymous\\)", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Authors_and_Higher", "ICLR.cc/2018/Conference/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": ["ICLR.cc/2018/Conference/Paper924/Authors", "ICLR.cc/2018/Conference/Paper924/Reviewers", "ICLR.cc/2018/Conference/Paper924/Area_Chair"], "cdate": 1512791676079}}}], "count": 17} |
{
"name": "togglific",
"version": "0.16.0",
"description": "Do you find web animations distracting? Togglific provides a distraction-free web experience!",
"main": "index.js",
"scripts": {
"start": "npm-run-all --parallel build-watch node-sass-watcher server",
"build-watch": "webpack -d --watch",
"server": "browser-sync start reload --reloadDelay 2000 --server './brochure' --files='./brochure/**/*.*'",
"sass": "node-sass --output-style compressed --watch ./brochure/css/sass/brochure.scss ./brochure/css/brochure.css",
"autoprefixer": "postcss --watch ./brochure/css/brochure.css --use autoprefixer 'last 2 versions' -o ./brochure/css/brochure.css",
"node-sass-watcher": "node-sass-watcher ./brochure/css/sass/brochure.scss -o ./brochure/css/brochure.css -c 'node-sass --output-style compressed ./brochure/css/sass/brochure.scss ./brochure/css/brochure.css | postcss ./brochure/css/brochure.css --use autoprefixer -o ./brochure/css/brochure.css'",
"build": "npm run build-webpack && npm run bookmarklet-build && npm run stand-alone-build && npm run browser-extension-build && npm run copy-to-npm && npm run copy-to-brochure && npm run copy-to-test",
"build-webpack": "webpack -p",
"bookmarklet-build": "npm run bookmarklet-clean && npm run bookmarklet-replace && npm run bookmarklet-copy",
"bookmarklet-clean": "rm -rf dist/bookmarklet && mkdir dist/bookmarklet",
"bookmarklet-replace": "replace '(^.*)' 'javascript:$1void(0);' src/bundles/bookmarklet/bundle.js",
"bookmarklet-copy": "cp src/bundles/bookmarklet/bundle.js dist/bookmarklet/togglific.js",
"bookmarklet-demo": "uglifyjs src/bundles/bookmarklet/bundle-demo.js --quotes=3 -o src/bundles/bookmarklet/bundle-demo.js && replace '\"' '"' src/bundles/bookmarklet/bundle-demo.js",
"stand-alone-build": "npm run stand-alone-clean && npm run stand-alone-copy",
"stand-alone-clean": "rm -rf dist/stand-alone && mkdir dist/stand-alone",
"stand-alone-copy": "cp src/bundles/stand-alone/bundle.js dist/stand-alone/togglific.js",
"browser-extension-build": "npm run browser-extension-clean && npm run browser-extension-copy && npm run browser-extension-zip",
"browser-extension-clean": "rm -rf dist/browser-extension && mkdir dist/browser-extension",
"browser-extension-copy": "cp src/bundles/browser-extension/bundle.js dist/browser-extension/togglific.js && cp src/browser-extension/background.js dist/browser-extension/ && cp src/browser-extension/manifest.json dist/browser-extension/ && cp -r src/browser-extension/icons dist/browser-extension/",
"browser-extension-zip": "cd dist/browser-extension/ && bestzip togglific.zip *",
"copy-to-brochure": "cp ./dist/bookmarklet/togglific.js ./brochure/javascript/togglific.js",
"copy-to-npm": "cp ./.gitignore ./dist/npm-package && cp ./LICENSE.txt ./dist/npm-package && cp ./package.json ./dist/npm-package && cp ./README.md ./dist/npm-package",
"copy-to-test": "cp src/bundles/stand-alone/bundle.js test/demo/javascript/togglific.js",
"release": "bump --version && bump --prompt --tag --grep ./src/**/togglific.js && cp ./package.json ./dist/npm-package",
"precommit": "npm run build && npm test && echo '🐮 Moo (Now run `git add . && git commit --no-verify -m \"informative message\"` to push the build you just made. 👆)' | cowsay",
"test": "karma start",
"predeploy": "npm run build",
"deploy": "gh-pages -d brochure"
},
"repository": {
"type": "git",
"url": "git+https://github.com/svinkle/togglific.git"
},
"keywords": [
"animation",
"toggle",
"switch",
"toggle off",
"accessibility",
"a11y"
],
"author": "Scott Vinkle",
"license": "MIT",
"bugs": {
"url": "https://github.com/svinkle/togglific/issues"
},
"homepage": "https://togglific.io/",
"devDependencies": {
"@babel/core": "^7.2.2",
"@babel/polyfill": "^7.0.0",
"@babel/preset-env": "^7.2.0",
"@babel/runtime": "^7.2.0",
"autoprefixer": "^9.4.3",
"babel-loader": "^8.0.4",
"bestzip": "^2.1.2",
"browser-sync": "^2.26.3",
"cowsay": "^1.3.1",
"gh-pages": "^2.0.1",
"headless-chromium": "0.0.1-prerelease.1",
"husky": "^1.2.1",
"jasmine": "^3.3.1",
"jasmine-core": "^3.3.0",
"karma": "^3.1.3",
"karma-chrome-launcher": "^2.2.0",
"karma-jasmine": "^2.0.1",
"karma-jasmine-html-reporter": "^1.4.0",
"karma-webpack": "^3.0.5",
"node-sass": "^4.11.0",
"node-sass-watcher": "^0.5.1",
"npm-run-all": "^4.1.5",
"postcss-cli": "^6.0.1",
"replace": "^1.0.0",
"terser": "^3.14.1",
"uglify-js": "^3.4.9",
"version-bump-prompt": "^4.2.2",
"webpack": "^4.27.1",
"webpack-cli": "^3.1.2",
"webpack-shell-plugin": "^0.5.0"
}
}
|
{"isMusicOn":false,"isSoundsOn":false} |
{
"type": "column",
"children": [
{
"type": "camera",
"flex": 1,
"id": "camera",
"stream": "$video$"
}
]
}
|
{"poster":"Elrandar","date":"2015-06-20T13:47:17.991+0000","title":"Hey riot, Do you plan on giving Kassadin another skin? I mean, It has been 4 years since Harbinger","subforum":"Concepts & Creations","up_votes":12,"down_votes":4,"body":"There is quite a lot of possible concepts like : Blademaster (would be fancy), Arclight... Anything ! Please riot tell me you haven't forgotten him !","replies":[{"poster":"Kindlejack","date":"2015-06-21T21:40:23.638+0000","up_votes":9,"down_votes":2,"body":"Kassadin has not been forgotten!\n\nSorry that's all I can say for now - but I just had to let you know that he is not on the off-limits list and that the skins team are keen to get another skin for him out the door.","replies":[{"poster":"Lynbro Senpai","date":"2015-06-22T02:50:18.227+0000","up_votes":4,"down_votes":0,"body":"Just take care not to give him a 750 RP skin or you might find the Kassadin playerbase staring void daggers at your back every chance they get.","replies":[{"poster":"Kindlejack","date":"2015-06-23T04:51:52.849+0000","up_votes":6,"down_votes":1,"body":"We call that 'Ezreal Syndrome' T_T","replies":[{"poster":"Lynbro Senpai","date":"2015-06-23T06:37:31.416+0000","up_votes":2,"down_votes":0,"body":"Honestly, I rarely take issues with Riot's choice of skin recipients, most of the skins are awesome!\n...but I was definitely more than a little bit miffed when Ezreal got a 750 RP skin recently. (Not because he got yet another skin, but because I play him and really want more than one skin with VFX changes).","replies":[{"poster":"Kindlejack","date":"2015-06-25T07:16:15.412+0000","up_votes":6,"down_votes":1,"body":"Giving Ezreal two 750 RP skins in a row was definitely our mistake. At the time we were looking for an ADC that would fit into the slot and he made a lot of sense, but going forward with 750s we will do our best to make sure they are more appropriate for each champion and the player expectations before trying to round out a conventional team comp.\n\nWe do mess up and when we do we really feel it; I'm not the only one that trawls boards/reddit/S@20 for every bit of feedback. When we disappoint players, that includes a lot of Rioters too! It feels to me that we owe it to players to ensure the next Ezreal skin has some really cool particles.","replies":[{"poster":"Lynbro Senpai","date":"2015-06-25T08:16:09.987+0000","up_votes":2,"down_votes":1,"body":"It takes a lot of courage to own up to mistakes, you have my respect for that.\n\nHonestly, the main thing to look out for on potential 750 RP skins (from the community perspective) are if:\na) The Champion is lacking on new particle skins (i.e. MF - has a ton of skins, she only has one that changes particles though, so a 975+ RP skin is probably preferred)\nb) The Champion is lacking on skins (i.e. Zed - Mass disappointment if a champion that hasn't gotten a skin in a long time gets a 750 RP skin)","replies":[{"poster":"Kindlejack","date":"2015-06-26T06:44:04.391+0000","up_votes":1,"down_votes":0,"body":"Thanks for the feedback, I totally agree. In fact we discussed this exact thing as a team this morning. Queen of Diamonds Syndra was another skin that made us realise that we really need to make sure the design of 750s support the base particles. Prehistoric Anivia was me trying to solve this issue on a particle heavy champion.\n\nSometimes champions that haven't had a skin for a while will get a 750 though. Our theory here is that if they otherwise would not have gotten a skin at all in the foreseeable future then this, while potentially disappointing for some, is still the better option. RiotPenguin's choice of Mordekaiser for the King of Clubs is an example of this.","replies":[{"poster":"Kingsgrave","date":"2015-06-26T06:57:46.252+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Kindlejack,realm=NA,application-id=A8FQeEA8,discussion-id=3pAg7MJh,comment-id=0005000200010000000100000000,timestamp=2015-06-26T06:44:04.391+0000)\n>\n> Thanks for the feedback, I totally agree. In fact we discussed this exact thing as a team this morning. Queen of Diamonds Syndra was another skin that made us realise that we really need to make sure the design of 750s support the base particles. Prehistoric Anivia was me trying to solve this issue on a particle heavy champion.\n> \n> Sometimes champions that haven't had a skin for a while will get a 750 though. Our theory here is that if they otherwise would not have gotten a skin at all in the foreseeable future then this, while potentially disappointing for some, is still the better option. RiotPenguin's choice of Mordekaiser for the King of Clubs is an example of this.\n\nDark Crystal Kassadin could work without changing particles.","replies":[{"poster":"Kindlejack","date":"2015-06-27T04:23:48.533+0000","up_votes":2,"down_votes":0,"body":"Like Blight Crystal Varus, or like a Skeksis? Because Swain is already a Skeksis and I think we all knows it.","replies":[{"poster":"Stars Shaper","date":"2015-06-27T09:35:18.526+0000","up_votes":1,"down_votes":0,"body":"Could work aslo with Dark Crystal Ryze kind of skin.","replies":[]},{"poster":"Kingsgrave","date":"2015-06-27T05:27:48.112+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Kindlejack,realm=NA,application-id=A8FQeEA8,discussion-id=3pAg7MJh,comment-id=000500020001000000010000000000000000,timestamp=2015-06-27T04:23:48.533+0000)\n>\n> Like Blight Crystal Varus, or like a Skeksis? Because Swain is already a Skeksis and I think we all knows it.\n\nI was thinking like Taric's crystal skin (I meant Bloodstone) Just color all the VFX as red, 975 \n\nhttp://img3.wikia.nocookie.net/__cb20110809160614/leagueoflegends/images/b/b2/Taric_BloodstoneSkin.jpg\n\nBlight Crystal could work as a 750 or even a 975 with just an orange color to all the VFX\n\nWastewalker Kassadin could be a real easy 750 skin that requires no VFX, or you could make it an incredibly snazzy skin and make it Legendary\n\nhttp://orig13.deviantart.net/1f08/f/2013/319/8/9/wastewalker_kassadin_by_mcfjury-d6uamkr.jpg","replies":[]}]}]}]}]}]},{"poster":"DynamiteGazelle","date":"2015-06-25T11:03:17.920+0000","up_votes":2,"down_votes":1,"body":"Just be happy you aren't an Evelynn main. Two 520 skins, a 975 skin (that is definitely 750 quality by today's standards), and then they gave her a 750.\n\nAt least Ez has an ultimate. Eve has no skins with any kind of effects changes :(","replies":[{"poster":"Lynbro Senpai","date":"2015-06-25T12:07:18.434+0000","up_votes":1,"down_votes":0,"body":"Yeah, but we all know that Eve's not gonna got any funky particle changing skins until her rework hits. There's that expectation already that she won't get a 975+ skin, but Ezreal doesn't have that.\nMaining Eve is pretty much resigning yourself to at least another 1-2 years without a cool skin which is unfortunate for sure xD\nI kinda expected Ezreal to get some nice VFX in a skin post-PFE, but still lacking in that department Q_Q","replies":[]}]},{"poster":"lxlLilybellelxl","date":"2015-06-23T15:09:21.859+0000","up_votes":1,"down_votes":0,"body":"Two 750 skins in the last year. I also find it highly unlikely he will ever get particle changes since his \"ultimate\" skin is the only one with them. It's like a trademark to that skin and brings in the $$$$,","replies":[{"poster":"Lynbro Senpai","date":"2015-06-25T08:09:25.266+0000","up_votes":1,"down_votes":0,"body":"I can guarantee he will get a skin with new VFX in the future. The price tag of the ultimate deters all but the most hardcore Ezreal players - A 975 or 1350 RP skin is far more likely to bring in a profit.\n\nBut hey, this isn't even about profit, it's about art.","replies":[]}]}]}]},{"poster":"Xhader","date":"2015-06-23T04:41:13.551+0000","up_votes":1,"down_votes":0,"body":"Retweet {{item:3025}}","replies":[]}]},{"poster":"Xhader","date":"2015-06-23T04:44:17.138+0000","up_votes":1,"down_votes":0,"body":"Kass skin in next PBE cycle confirmed.\n\nNo but really, take your time. What's a few more months after all","replies":[{"poster":"Kindlejack","date":"2015-06-23T05:01:58.093+0000","up_votes":4,"down_votes":2,"body":"Personally I want to see every champion who hasn't had a skin for a while to get one as soon as possible! Although realistically that might take some time yet. I did manage to sell the idea of PterAnivia to the team to go with Cho and Renekton which I am really pleased about.\n\nDuring my interview, when they asked me if I had any questions, I said 'Taric skin where?' and 'When is Lux getting a good skin?'. They showed me some very early concepts for the Taric rework and then showed me the concept for Star Guardian Lux (because I was well NDA'd by that point) and I only then began to realise that Riot really is working hard on this stuff but they also care about doing things as close to 100% right as they can. There are also a whole bunch of setbacks that pop up I would never have expected.","replies":[{"poster":"Sky Shadow","date":"2015-06-25T08:34:09.529+0000","up_votes":2,"down_votes":0,"body":"> [{quoted}](name=Kindlejack,realm=NA,application-id=A8FQeEA8,discussion-id=3pAg7MJh,comment-id=000500040000,timestamp=2015-06-23T05:01:58.093+0000)\n>\n> During my interview, when they asked me if I had any questions, I said 'Taric skin where?'. They showed me some very early concepts for the Taric rework\n\nWhat I would give to see **any** concepts of Taric, early or new.\n\nYou are one lucky man indeed.","replies":[{"poster":"Kindlejack","date":"2015-06-26T06:46:49.789+0000","up_votes":2,"down_votes":0,"body":"I really am, and I appreciate that every day. One of the reasons I'm trying to be active and candid on the boards is because I never want to forget that I get to do what I do because of people like yourself >:)","replies":[{"poster":"Sky Shadow","date":"2015-06-26T07:11:33.143+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Kindlejack,realm=NA,application-id=A8FQeEA8,discussion-id=3pAg7MJh,comment-id=00050004000000000000,timestamp=2015-06-26T06:46:49.789+0000)\n>\n> I really am, and I appreciate that every day. One of the reasons I'm trying to be active and candid on the boards is because I never want to forget that I get to do what I do because of people like yourself >:)\n\nWow thanks for the reply.\n\nYeah man, we always got your back. I've seen the dedication you have to staying active in the community and it really is a great feeling as a player when you see the staff that works on the game actually interact with the community.\n\nKeep up the good work!","replies":[{"poster":"Kindlejack","date":"2015-06-27T04:25:29.978+0000","up_votes":1,"down_votes":0,"body":"Right back at you >;)","replies":[]}]}]}]}]}]},{"poster":"Aerothal","date":"2015-06-23T05:03:45.731+0000","up_votes":2,"down_votes":0,"body":"Victorious Kass incoming...to kick low elo Kass players in the groin ;)","replies":[]},{"poster":"Zirzon","date":"2015-06-22T05:14:12.462+0000","up_votes":2,"down_votes":0,"body":"> he is not on the off-limits list\n\nIs that a very lonely list consisting entirely of {{champion:83}}? (Just wondering)","replies":[{"poster":"Kindlejack","date":"2015-06-23T04:50:52.689+0000","up_votes":2,"down_votes":0,"body":"{{champion:83}} {{champion:6}} {{champion:44}} {{champion:78}} are all in the middle of major reworks. The thinking is that if we released a skin now it wouldn't be fair to sell it because it might be drastically changed once the champ reworks go live.","replies":[{"poster":"GhostOfShrimpmas","date":"2015-06-23T04:56:38.945+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Kindlejack,realm=NA,application-id=A8FQeEA8,discussion-id=3pAg7MJh,comment-id=000500030001,timestamp=2015-06-23T04:50:52.689+0000)\n>\n> {{champion:83}} {{champion:6}} {{champion:44}} {{champion:78}} are all in the middle of major reworks. The thinking is that if we released a skin now it wouldn't be fair to sell it because it might be drastically changed once the champ reworks go live.\n\nSo, I need to ask, wasn't {{champion:28}} also on that list?","replies":[{"poster":"Kindlejack","date":"2015-06-25T07:05:37.084+0000","up_votes":1,"down_votes":0,"body":"Not right now, and she had the Safecracker skin at the end of last year.","replies":[{"poster":"Stars Shaper","date":"2015-06-25T08:10:56.429+0000","up_votes":1,"down_votes":0,"body":"Should I guess this applies to {{champion:82}} too? Recent skin = no VU? (In terms of champion model, not his skills)","replies":[{"poster":"Kindlejack","date":"2015-06-26T06:34:26.213+0000","up_votes":1,"down_votes":0,"body":"Yes. Mordekaiser's visual rework is far enough in the future that we wanted to make at least a 750 for him while players wait. However the four previously mentioned champions are too close to do that for.","replies":[{"poster":"TerraRising","date":"2015-06-27T06:11:34.776+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Kindlejack,realm=NA,application-id=A8FQeEA8,discussion-id=3pAg7MJh,comment-id=0005000300010000000100010000,timestamp=2015-06-26T06:34:26.213+0000)\n>\n> Yes. Mordekaiser's visual rework is far enough in the future that we wanted to make at least a 750 for him while players wait. However the four previously mentioned champions are too close to do that for.\n\nIn a similar vein to this, I'm still wondering what the thought process behind making Blood Moon Zilean was. It certainly does _not feel_ like a skin that was:\n\n1. Worth the four year wait (especially at 975 RP)\n2. Fitting with a \"time lord\" concept. (\"Moon\" barely relates to time, and especially NOT in this instance)\n3. All that interesting compared to other ideas floating around (A Dr. Who)\n\nIt honestly feels like the skins team, supposedly some of the best artists and modelers in the video game industry, said \"let's make a Zilean skin,\" brainstormed for 10 short minutes, and just chose the best idea out of a pile of very half-assed ideas instead of taking the time to develop a truly awesome concept that would fit a broken rig.\n\nSeriously, that skin feels like a chroma / palette swap with some red effects and a recycled mask.","replies":[{"poster":"DynamiteGazelle","date":"2015-06-28T03:52:50.638+0000","up_votes":1,"down_votes":0,"body":"Evelyn waited the same amount of time and got a 750rp black body suit and no particles.\n\nThere's worse things that can happen then Blood Moon Zilean..","replies":[]}]},{"poster":"Stars Shaper","date":"2015-06-26T21:58:15.452+0000","up_votes":1,"down_votes":0,"body":"Sad face. Since Sion release I really hoped to see a badass Morde rework","replies":[{"poster":"Kindlejack","date":"2015-06-27T04:30:05.896+0000","up_votes":1,"down_votes":0,"body":"I'm really sorry Stars Shaper. He will get reworked eventually and when he does I'm sure he will be the baddest of asses.","replies":[{"poster":"Stars Shaper","date":"2015-06-27T08:36:01.108+0000","up_votes":1,"down_votes":0,"body":"No need to be^^ I knew he wouldn't be top priority and actually I'm also impatient for the Taric rework since I'm really a Paladin fan :D\n\nRecent reworks have been really good and since there has been a lot of talk about Taric and feedback gathering I am really hopeful that he is going to be an awesome character.\n\nKeep up the good work :)","replies":[]}]}]}]}]},{"poster":"DynamiteGazelle","date":"2015-06-25T11:09:05.203+0000","up_votes":1,"down_votes":0,"body":"Do you honestly think that was a fair call though? Up above this post you were talking about how it was a bad idea to give Ezreal two 750.\n\nBut at least Ez got 2 skins in one year, and has a bunch of other skins including an ultimate - one of only 3 to have that privilege.\n\nEvelyn has two 520's (basically recolors), a 975 (which is a 750 by modern standards), and you decided to give her a 750?\nBefore Safecracker, Eve hadn't received a skin in 4 years.\n\nAnd you say it's unfair to Ezreal, but not Evelynn?","replies":[{"poster":"Kindlejack","date":"2015-06-26T06:31:16.855+0000","up_votes":1,"down_votes":0,"body":"Evelynn does need a rework, but she is not currently being reworked.","replies":[{"poster":"DynamiteGazelle","date":"2015-06-28T03:49:10.138+0000","up_votes":1,"down_votes":0,"body":"Yeah, it's just an unfortunate situation. I feel like out of all the champions she is potentially in the worst spot of all.\n\nHasn't received anything significant in years (VU was awesome tho - kudos), good enough not to be high priority, but bad enough to not be eligible for new content.\n\nPlus, while I personally like her kit, many people assume she will get a minor kit rework, which means theres no motivation to give her unique particles if they're just gunna change eventually.\n\nI can't imagine her getting reworked for at least another year, probably 2. And she's already had to wait waited 3-4 years just for a 750 skin.\n\nThe life of an Eve main is a tough one indeed :(","replies":[]}]}]}]},{"poster":"halodestruction","date":"2015-06-23T08:14:22.308+0000","up_votes":1,"down_votes":0,"body":"i like the way eve is. they did do a lil rework back in the day i remeber where she just had a normal stealth that lasted about 1 min and other than a ward shes was usless. shes fun now (though she really needs a lore of sorts)","replies":[]}]}]},{"poster":"ULTRAF0RCE","date":"2015-06-22T11:27:39.953+0000","up_votes":2,"down_votes":0,"body":"urgot as well and poppy are on that list I would believe.","replies":[{"poster":"Zirzon","date":"2015-06-22T11:34:13.592+0000","up_votes":2,"down_votes":0,"body":"Ah yes, true. It's probably a list of everyone scheduled for a large visual rework in the near future, and those with kits deemed too toxic to be allowed to excel until their gameplay rework ({{champion:83}} {{champion:78}})","replies":[]}]}]},{"poster":"TerraRising","date":"2015-06-21T22:19:36.115+0000","up_votes":4,"down_votes":9,"body":"> [{quoted}](name=Kindlejack,realm=NA,application-id=A8FQeEA8,discussion-id=3pAg7MJh,comment-id=0005,timestamp=2015-06-21T21:40:23.638+0000)\n>\n> Kassadin has not been forgotten!\n> \n> Sorry that's all I can say for now - but I just had to let you know that he is not on the off-limits list and that the skins team are keen to get another skin for him out the door.\n\nGonna pull another skin that's not worth the long wait? Something pathetic like Blood Moon Kassadin?","replies":[{"poster":"Lynbro Senpai","date":"2015-06-22T02:49:12.228+0000","up_votes":4,"down_votes":2,"body":"Salt detected.","replies":[{"poster":"TerraRising","date":"2015-06-22T03:43:33.245+0000","up_votes":3,"down_votes":1,"body":"> [{quoted}](name=Lynbro Senpai,realm=NA,application-id=A8FQeEA8,discussion-id=3pAg7MJh,comment-id=000500010000,timestamp=2015-06-22T02:49:12.228+0000)\n>\n> Salt detected.\n\nIt wasn't difficult to find. :)","replies":[]}]},{"poster":"Blainezy","date":"2015-06-22T16:32:04.189+0000","up_votes":2,"down_votes":0,"body":"> [{quoted}](name=TerraRising,realm=NA,application-id=A8FQeEA8,discussion-id=3pAg7MJh,comment-id=00050001,timestamp=2015-06-21T22:19:36.115+0000)\n>\n> Gonna pull another skin that's not worth the long wait? Something pathetic like Blood Moon Kassadin?\n\nSomething pathetic like Queen of Diamonds Syndra..","replies":[{"poster":"TerraRising","date":"2015-06-22T16:33:05.575+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Blainezy,realm=NA,application-id=A8FQeEA8,discussion-id=3pAg7MJh,comment-id=000500010001,timestamp=2015-06-22T16:32:04.189+0000)\n>\n> Something pathetic like Queen of Diamonds Syndra..\n\nKing of Clubs Mordekaiser. That one was worth a 4-year wait. :/","replies":[{"poster":"macromite","date":"2015-06-25T19:22:18.237+0000","up_votes":1,"down_votes":0,"body":"king of clubs is sexy, how dare you propose otherwise.","replies":[{"poster":"TerraRising","date":"2015-06-25T19:51:35.423+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=macromite,realm=NA,application-id=A8FQeEA8,discussion-id=3pAg7MJh,comment-id=00050001000100000000,timestamp=2015-06-25T19:22:18.237+0000)\n>\n> king of clubs is sexy, how dare you propose otherwise.\n\nOh, you mean the \"Half-arsed Arclight Mordekaiser skin with the cheesy particles and the 'we had to change the background because offended' splash art?\"\n\nSeriously, if you like the skin then I'm cool with it. However, a champion whose fans have been waiting four years deserves something much more awesome than that skin, mostly as a _mea culpa_ from Riot for not getting their stuff together sooner (planned and scrapped reworks and all). Same goes for Blood Moon Zilean and whatever they have planned for Kassadin.","replies":[]}]}]}]}]},{"poster":"Jeddy017","date":"2015-06-21T21:52:32.735+0000","up_votes":2,"down_votes":1,"body":"Especially since he had is model update recently.","replies":[]}]},{"poster":"Dunkrius2g","date":"2015-06-23T13:29:21.770+0000","up_votes":2,"down_votes":0,"body":"His next skin will be 975/1350\n\nHandicapped Kassadin\n\nhttp://happyteethdentalcare.com/wp-content/uploads/2013/08/man-in-crutches.jpg","replies":[]},{"poster":"Gridlocke","date":"2015-06-22T22:27:21.789+0000","up_votes":2,"down_votes":0,"body":"{{champion:38}} forever nerfed, {{champion:76}} forever buffed","replies":[]}]} |
{"title":"Age of Empires II - Age of Kings","uid":7486048,"size":1404941342,"categoryP":"games","categoryS":"pc","magnet":"?xt=urn:btih:23680824930ff60e650d31b980f0af12030b7264&dn=Age+of+Empires+II+-+Age+of+Kings&tr=udp%3A%2F%2Ftracker.openbittorrent.com%3A80&tr=udp%3A%2F%2Fopen.demonii.com%3A1337&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Fexodus.desync.com%3A6969","seeders":1,"leechers":0,"uploader":"mond0shawan","files":14,"time":1343593235,"description":"This is the Age of Empires II pack : 2 iso images for The Age of Kings and the expansion The Conquerors. Plus the patch with better graphics.\n\nEnjoy :)","torrent":{"xt":"urn:btih:23680824930ff60e650d31b980f0af12030b7264","amp;dn":"Age+of+Empires+II+-+Age+of+Kings","amp;tr":["udp%3A%2F%2Ftracker.openbittorrent.com%3A80","udp%3A%2F%2Fopen.demonii.com%3A1337","udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969","udp%3A%2F%2Fexodus.desync.com%3A6969"],"infoHash":"23680824930ff60e650d31b980f0af12030b7264","infoHashBuffer":{"type":"Buffer","data":[35,104,8,36,147,15,246,14,101,13,49,185,128,240,175,18,3,11,114,100]},"announce":[],"urlList":[]}} |
{
"python.pythonPath": "/Users/seemasune/PyTorch/bin/python"
} |
{
"id": "142086",
"name": "語りべ少女ほのか",
"sites": [
{
"site": "bilibili",
"id": "4153",
"sort": 1
}
],
"eps": [
{
"id": 569549,
"sort": 1,
"name": "",
"sites": [
{
"site": "bilibili",
"sort": 1,
"title": "故事少女穗乃花",
"url": "https://www.bilibili.com/bangumi/play/ep88568",
"time": "2016-05-27T08:31:15.000Z"
}
]
}
]
} |
{"geometry":{"type":"Polygon","coordinates":[[[15.340334,47.112900],[15.334623,47.128758],[15.341583,47.139901],[15.342590,47.139851],[15.342774,47.141646],[15.344089,47.141581],[15.343997,47.140684],[15.347940,47.140489],[15.347848,47.139591],[15.349163,47.139527],[15.348887,47.136834],[15.354145,47.136574],[15.354237,47.137472],[15.355551,47.137407],[15.355091,47.132919],[15.357720,47.132789],[15.357443,47.130096],[15.358758,47.130031],[15.358666,47.129134],[15.359980,47.129069],[15.359612,47.125479],[15.366182,47.125153],[15.366090,47.124256],[15.367404,47.124190],[15.367127,47.121498],[15.368441,47.121433],[15.368257,47.119638],[15.359059,47.120093],[15.358783,47.117401],[15.352213,47.117726],[15.351938,47.115033],[15.350624,47.115098],[15.350532,47.114200],[15.349218,47.114265],[15.349126,47.113368],[15.345185,47.113563],[15.345093,47.112665],[15.340334,47.112900]]]},"properties":{"qs:a1r":"0","qs:la":"Eisbach","geom:longitude":15.348483,"qs:la_lc":"*AT60607","lbl:latitude":47.116670,"qs:loc_alt":"Judendorf","iso:country":"AU","src:geom_alt":[],"wof:geomhash":"2b6a4645395e6e5bf1a1c3e99ce3fdc4","qs:level":"locality","wof:name":"Judendorf","src:geom":"quattroshapes","qs:adm0":"\u00d6sterreich","wof:breaches":[],"wof:hierarchy":[{"locality_id":101834233,"country_id":85632785,"region_id":85681687,"county_id":102049741}],"qs:type":"rural point-multi-in-poly-resolved","qs:loc":"Judendorf","wof:id":101834233,"qs:pop":0,"lbl:longitude":15.350000,"wof:supersedes":[],"geom:area":0.000538,"geom:latitude":47.126067,"qs:source":"TCustom EuroGlobalMap + UMZ Urban Polygons + Geonames + GeoPlanet","src:centroid_lbl":"geonames","wof:belongsto":[85632785,85681687,102049741],"wof:placetype":"locality","qs:a0":"\u00d6sterreich","qs:a1":"*Steiermark","qs:a2":"Graz-Umgebung","wof:lastmodified":1439924294,"wof:superseded_by":[],"wof:concordances":{"gn:id":2775018,"qs:id":5},"wof:parent_id":102049741},"type":"Feature","bbox":[15.334623,47.112665,15.368441,47.141646],"id":101834233} |
{"poster":"ll SenorBlarp ll","date":"2019-11-14T23:08:44.756+0000","title":"Uala ya no permite comprar RP?","subforum":"Problemas Técnicos","embed":{"description":"Post with 0 views.","url":"https://imgur.com/a/ksGDNju","image":"https://i.imgur.com/iOg4HAC.jpg?fb"},"up_votes":6,"down_votes":1,"body":"Y me dicen que por esa alineacion no se puede y queria saber si alguien si que puede o que onda, o si hay otra manera de cargar con mastercard RP.... estoy en un momento sad, plsss!{{sticker:sg-janna}}","replies":[{"poster":"Friendly Player","date":"2019-11-29T22:21:42.653+0000","up_votes":1,"down_votes":0,"body":"Hola, intente con la tarjeta de Bru bank y tampoco se puede, alguien sabe si con la de mercado pago se puede?","replies":[]},{"poster":"MauBlue","date":"2019-11-15T15:55:00.601+0000","up_votes":1,"down_votes":0,"body":"La usé ayer para comprar Akali true damage, y todo bien, se puede.\n\nFijate en la app que hay una opción donde podés congelar la tarjeta","replies":[]},{"poster":"Zutcke","date":"2019-11-15T02:02:29.552+0000","up_votes":1,"down_votes":0,"body":"La verdad no sé, hice la misma pregunta que vos y me dijieron \"spotify si, steam no\" y me quedé con eso\nEn tu screenshot dice que steam si {{sticker:sg-lux-2}} \n\nAunque bueno, de lo que estoy seguro es que la compra no debe superar los 200 usd.","replies":[{"poster":"hachi111","date":"2019-11-15T04:42:58.382+0000","up_votes":1,"down_votes":0,"body":"Yo la uso en steam todos los dias y funciona y en la epic games tambien pero no e podido comprobarlos con las nuevas reglas , en humble bundle tambien funciona.\nLo de los $200 te los avisa que cual1uier compra que supere los $8000 pesos argentinos se necesuta una autorizacion especial.\nEs curiosos por que no se si funcionara ahora en marketplace","replies":[]}]},{"poster":"Josuke Higashkta","date":"2019-11-14T23:32:42.539+0000","up_votes":1,"down_votes":0,"body":"Bro, hoy literal compré con Ualá, solo pone Mastercard y compras, avisame si tenes alguna duda más, mucha suerte! <3{{sticker:slayer-jinx-catface}}","replies":[{"poster":"ll SenorBlarp ll","date":"2019-11-14T23:36:10.767+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Josuke Higashkta,realm=LAS,application-id=X54mVVp0,discussion-id=aJu8H3wd,comment-id=0000,timestamp=2019-11-14T23:32:42.539+0000)\n>\n> Bro, hoy literal compré con Ualá, solo pone Mastercard y compras, avisame si tenes alguna duda más, mucha suerte! <3{{sticker:slayer-jinx-catface}}\n\nNop no me deja, probe todo y nada :c Sera seguir intentando {{sticker:zombie-nunu-tears}}","replies":[{"poster":"Hnk Kenshiro","date":"2019-11-15T00:21:08.783+0000","up_votes":1,"down_votes":0,"body":"¿Tienes saldo extra para el iva?\n\n¿Probaste asociarla a paypal?\n\nNo soy de arg, asi que tengo muy limitado el que se me ocurra como solucionarlo","replies":[{"poster":"ll SenorBlarp ll","date":"2019-11-15T01:13:48.820+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Hnk Kenshiro,realm=LAS,application-id=X54mVVp0,discussion-id=aJu8H3wd,comment-id=000000000001,timestamp=2019-11-15T00:21:08.783+0000)\n>\n> ¿Tienes saldo extra para el iva?\n> \n> ¿Probaste asociarla a paypal?\n> \n> No soy de arg, asi que tengo muy limitado el que se me ocurra como solucionarlo\n\nSisi cargue de sobra jajaja y por paypal me dijeron desde el soporte que no se puede, me odiaran los de uala? {{item:3070}}","replies":[{"poster":"Hnk Kenshiro","date":"2019-11-15T01:23:40.197+0000","up_votes":1,"down_votes":0,"body":"Yo crei que justamente no se podia porque estaban incluyendo lo del iva en las billeteras electronicas, pero si josuke pudo, ni idea :s","replies":[]}]}]},{"poster":"Josuke Higashkta","date":"2019-11-15T00:01:23.753+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=ll SenorBlarp ll,realm=LAS,application-id=X54mVVp0,discussion-id=aJu8H3wd,comment-id=00000000,timestamp=2019-11-14T23:36:10.767+0000)\n>\n> Nop no me deja, probe todo y nada :c Sera seguir intentando {{sticker:zombie-nunu-tears}}\n\nMuy loco, cargué hace unas horas :/ {{sticker:cass-cry}}","replies":[]}]}]}]} |
{
"name": "ban-notifier",
"private": true,
"version": "0.0.0",
"description": "a Sails application",
"keywords": [],
"dependencies": {
"@node-steam/id": "^1.0.0",
"async": "2.0.1",
"chai": "^4.2.0",
"csgo": "^1.5.12",
"discord.js": "^11.4.2",
"discord.js-commando": "^0.10.0",
"dotenv": "^7.0.0",
"lodash": "4.17.11",
"long": "^4.0.0",
"passport": "^0.4.0",
"passport-discord": "^0.1.3",
"passport-steam": "^1.0.10",
"request": "^2.88.0",
"request-promise-native": "^1.0.7",
"sails": "^1.1.0",
"sails-hook-orm": "^2.1.1",
"sails-hook-sockets": "^1.5.5",
"sails-mysql": "^1.0.1",
"steam": "^1.4.1",
"winston": "^2.4.4"
},
"devDependencies": {
"eslint": "4.11.0",
"grunt": "^1.0.4",
"mocha": "^5.1.1",
"sails-hook-grunt": "^4.0.1"
},
"scripts": {
"start": "NODE_ENV=production node app.js",
"test": "npm run lint && node ./node_modules/mocha/bin/mocha test/lifecycle.test.js test/unit/*.test.js --done",
"lint": "node ./node_modules/eslint/bin/eslint . --max-warnings=0 --report-unused-disable-directives && echo '✔ Your code looks good.'",
"custom-tests": "echo \"(No other custom tests yet.)\" && echo"
},
"main": "app.js",
"repository": {
"type": "git",
"url": "git://github.com/catalysm/ban-notifier.git"
},
"author": "catalysm",
"license": "",
"engines": {
"node": "8"
}
}
|
{"poster":"Nuke","date":"2017-11-02T22:06:31.140+0000","title":"When vas con todas las ganas a gastar tus 21K de PI y...","subforum":"Charlas Generales","up_votes":4,"down_votes":10,"body":"https://i.gyazo.com/5a4661fe344e99e8ea8dc6688ec5f301.png\n\nhttps://www.youtube.com/watch?v=N7BnzAsCOz8#t=5s\n\n#PERO LUEGO...\n\nhttps://i.gyazo.com/3ea550ac847ec056d9c9f135f570fe8b.png\n\nhttps://i.gyazo.com/80b9d3e4c295ac6246b1a7ec965b975e.png\n\nhttps://www.youtube.com/watch?v=uga8aB1x5HA\n\n> Ustedes cuántas EA recaudaron?\nhttps://i.gyazo.com/8beb45912c2ff03b9b3edf73c114e290.png\n\nAhora, si me necesitan voy a estar resumiendo un libro de 33 capítulos para mañana B(\n\nhttps://www.youtube.com/watch?v=5GZrOYIXETg#t=9s","replies":[{"poster":"Hnk Kenshiro","date":"2017-11-03T18:39:21.195+0000","up_votes":1,"down_votes":0,"body":"Tengo 1.8K y nada de PI.\n\nTodo se me va en las maestrías xd","replies":[]},{"poster":"The Fall of Troy","date":"2017-11-03T18:06:39.735+0000","up_votes":1,"down_votes":0,"body":"7k y subiendo","replies":[]},{"poster":"vaVav","date":"2017-11-02T22:50:19.864+0000","up_votes":1,"down_votes":0,"body":"¿Cuáles fragmentos y cuánta esencia ya poseías?","replies":[{"poster":"Nuke","date":"2017-11-03T17:49:35.690+0000","up_votes":1,"down_votes":0,"body":"Eso no importa xD\nAntes tenía solo a Nasus y 200 de EA creo.","replies":[]}]},{"poster":"Straw Hat Zoe","date":"2017-11-02T23:21:09.407+0000","up_votes":1,"down_votes":0,"body":"10k y no pienso parar","replies":[]},{"poster":"Grafeno","date":"2017-11-02T22:42:35.229+0000","up_votes":1,"down_votes":0,"body":"Tenia una cuenta como con 70+k de pi que me banearon y ahora tengo 21k por ahí una lastima que esos pis jamás se usarán","replies":[]},{"poster":"Séei","date":"2017-11-02T22:37:44.758+0000","up_votes":1,"down_votes":0,"body":"yo tengo 75k y ni asi podre comprar a ww :s","replies":[]},{"poster":"Hell Darking","date":"2017-11-02T22:31:16.482+0000","up_votes":1,"down_votes":0,"body":"tengo 1k y algo, habia comprado campeones (por tenerlos todos) hace poco me dijeron que multiplicaran la escencia u.u","replies":[]},{"poster":"102Facu","date":"2017-11-02T22:08:01.617+0000","up_votes":1,"down_votes":0,"body":"5789, pero no los usaré :)","replies":[{"poster":"Nuke","date":"2017-11-02T22:09:42.336+0000","up_votes":1,"down_votes":0,"body":"Ya somos 2 lol xD.\nBueno, espero que alguno de acá tenga las 5 cifras.","replies":[{"poster":"102Facu","date":"2017-11-02T22:12:49.648+0000","up_votes":1,"down_votes":0,"body":"Tengo un amigo que recaudo 10.000 EA, pero desde que empezó el año nunca las gasto y siempre gastó su PI en frag de champ, quien diría que ahora tendría como 100.000 de PI.","replies":[{"poster":"Nuke","date":"2017-11-02T22:15:28.512+0000","up_votes":1,"down_votes":0,"body":"¡Descubrí a un nuevo Dios!","replies":[{"poster":"102Facu","date":"2017-11-02T22:16:07.137+0000","up_votes":1,"down_votes":0,"body":"Probablemente","replies":[]}]}]}]}]},{"poster":"rokushoger","date":"2017-11-02T22:10:08.075+0000","up_votes":1,"down_votes":0,"body":"En este momento tengo 2362. Para lo poco que juego es bastante","replies":[]},{"poster":"Gaspar Noeh","date":"2017-11-02T22:41:02.575+0000","up_votes":1,"down_votes":1,"body":"si alguien entro al PBE se daran cuenta que solo la skin de Warwik Urf sale 150000 esencia azul, se fueron al pastooooo, y desbloquear un champ de los mas economicos sale 4500 eb.....no se que tan rentable sea el cambio","replies":[]}]} |
{
"server": "ia902501.us.archive.org",
"dir": "/19/items/PainkillerBattleOutOfHell",
"metadata": {
"identifier": [
"PainkillerBattleOutOfHell"
],
"mediatype": [
"software"
],
"collection": [
"classicpcgames"
],
"creator": [
"People Can Fly"
],
"date": [
"2004"
],
"description": [
"The demo features the latest version of the PAIN Engine and with it, the latest enhancements from the 1.35 update. In the popular \"Military Base\" level, players will enjoy effects such as heat and haze distortion, light blooms, per pixel specular mapping, new shader effects and tweaks for the latest video cards. This is the updated codebase that will also be included in the upcoming Battle out of Hell expansion."
],
"publisher": [
"DreamCatcher Interactive"
],
"scanner": [
"Internet Archive HTML5 Uploader 1.5.2"
],
"subject": [
"Windows games; Vintage computer games; Action games"
],
"title": [
"Painkiller Single-Player Demo #3"
],
"year": [
"2004"
],
"publicdate": [
"2014-05-08 18:00:29"
],
"addeddate": [
"2014-05-08 18:00:29"
],
"backup_location": [
"ia905807_18"
]
},
"reviews": {
"info": {
"num_reviews": 1,
"avg_rating": "1.00"
},
"reviews": [
{
"reviewbody": "IT'S PAINKILLERS HEAVENS GOT A HITMAN LEVEL SP3 (MILITARY BASE) GET RIGHT, OTHERWISE IT'S JUST A WASTE OF TIME",
"reviewtitle": "NOT BATTLE OUT OF HELL DEMO",
"reviewer": "Car E M",
"reviewdate": "2016-08-22 06:08:58",
"stars": "1"
}
]
},
"files": {
"\/Painkiller - Battle Out Of Hell.exe": {
"source": "original",
"format": "Windows Executable",
"mtime": "1399572028",
"size": "189929078",
"md5": "13141983561e3a898ea1441967be20d5",
"crc32": "73d76097",
"sha1": "b49a93f3290a30f1ca1683a8a4a3a15a650e1853"
},
"\/Painkiller - Battle Out Of Hell.jpg": {
"source": "original",
"format": "JPEG",
"mtime": "1399572040",
"size": "176502",
"md5": "43b41db64c21f3a3fe26df21eb0111b0",
"crc32": "26f013c9",
"sha1": "cafbd4a14b687c43cd463a611ee576385a4f7610",
"rotation": "0"
},
"\/Painkiller - Battle Out Of Hell_thumb.jpg": {
"source": "derivative",
"format": "JPEG Thumb",
"original": "Painkiller - Battle Out Of Hell.jpg",
"mtime": "1399572066",
"size": "6681",
"md5": "afe6f78c4248d319e7e5322423a61000",
"crc32": "0f91cf8f",
"sha1": "0e25705371242f5af9e0f4eceb024e1a73cc6ec9"
},
"\/PainkillerBattleOutOfHell_archive.torrent": {
"source": "original",
"btih": "bbeb91f2c5525dec82dd6b57c5d6a848ca5caf08",
"mtime": "1475235385",
"size": "9416",
"md5": "bd2ec4be6207dbcdf45b165f75355b36",
"crc32": "a82de122",
"sha1": "0d07dfa401cb83c3baea33ac9f876dd1c766a873",
"format": "Archive BitTorrent"
},
"\/PainkillerBattleOutOfHell_files.xml": {
"source": "original",
"format": "Metadata",
"md5": "fda311a2340d3e5c5aa317d811c20700"
},
"\/PainkillerBattleOutOfHell_meta.sqlite": {
"source": "original",
"format": "Metadata",
"mtime": "1399572051",
"size": "14336",
"md5": "9002bc537e02796609e3567c96290280",
"crc32": "c9192023",
"sha1": "1cde2c8a8ff2538741c541af34c923c44db315f0"
},
"\/PainkillerBattleOutOfHell_meta.xml": {
"source": "original",
"format": "Metadata",
"mtime": "1475235384",
"size": "1126",
"md5": "8e920ea78616a667af422fa727b84996",
"crc32": "0803e704",
"sha1": "002873580b7952afa63a92f2cd921b1b11171fa2"
},
"\/PainkillerBattleOutOfHell_reviews.xml": {
"source": "original",
"mtime": "1471846139",
"size": "564",
"md5": "ce0d45ba16d765ae20a4d2f2068c0ab4",
"crc32": "a007b824",
"sha1": "28d8f63a5698e2222151cbee47cfa5d86a3ee333",
"format": "Metadata"
}
},
"misc": {
"image": "https:\/\/ia902501.us.archive.org\/19\/items\/PainkillerBattleOutOfHell\/Painkiller%20-%20Battle%20Out%20Of%20Hell_thumb.jpg",
"collection-title": "Classic PC Games"
},
"item": {
"downloads": 513,
"week": 7,
"month": 16
}
} |
{"code":"6302082005","province_code":"63","regency_code":"6302","district_code":"630208","name":"BANGKALAAN MELAYU"} |
{"title":"千歌「好感度メガネ？」","url":"http://blog.livedoor.jp/ikaros73-sss/archives/55589642.html","time":"2017-02-22 06:37:16 UTC"} |
[{"lineNumber": 176, "col_offset": 0, "nodeName": "_prepare_tfr", "type": "Callable[[Any, Any, Any, Any, Any, Any], Any]"}, {"lineNumber": 217, "col_offset": 0, "nodeName": "_single_epoch_tfr", "type": "Callable[[Any, Any, Any, Any, Any, Any, Any, Any, Any], Any]"}, {"lineNumber": 39, "col_offset": 4, "nodeName": "sel", "type": "Any"}, {"lineNumber": 51, "col_offset": 7, "nodeName": "pca", "type": "Any"}, {"lineNumber": 59, "col_offset": 4, "nodeName": "is_free_ori", "type": "Any"}, {"lineNumber": 150, "col_offset": 4, "nodeName": "Fs", "type": "Any"}, {"lineNumber": 151, "col_offset": 4, "nodeName": "stcs", "type": "Dict[Any, Any]"}, {"lineNumber": 153, "col_offset": 4, "nodeName": "subject", "type": "Any"}, {"lineNumber": 173, "col_offset": 11, "nodeName": "stcs", "type": "Dict[Any, Any]"}, {"lineNumber": 178, "col_offset": 4, "nodeName": "n_times", "type": "Any"}, {"lineNumber": 179, "col_offset": 4, "nodeName": "n_freqs", "type": "int"}, {"lineNumber": 180, "col_offset": 4, "nodeName": "n_sources", "type": "Any"}, {"lineNumber": 181, "col_offset": 4, "nodeName": "is_free_ori", "type": "bool"}, {"lineNumber": 186, "col_offset": 4, "nodeName": "shape", "type": "Tuple[Any, int, Any]"}, {"lineNumber": 196, "col_offset": 4, "nodeName": "power", "type": "Any"}, {"lineNumber": 198, "col_offset": 4, "nodeName": "plv", "type": "Any"}, {"lineNumber": 200, "col_offset": 8, "nodeName": "epoch", "type": "Any"}, {"lineNumber": 200, "col_offset": 17, "nodeName": "data", "type": "Any"}, {"lineNumber": 220, "col_offset": 4, "nodeName": "tfr_e", "type": "Any"}, {"lineNumber": 222, "col_offset": 4, "nodeName": "plv_e", "type": "Any"}, {"lineNumber": 223, "col_offset": 28, "nodeName": "shape", "type": "Any"}, {"lineNumber": 273, "col_offset": 4, "nodeName": "epochs_data", "type": "Any"}, {"lineNumber": 279, "col_offset": 4, "nodeName": "inv", "type": "Any"}, {"lineNumber": 279, "col_offset": 10, "nodeName": "inverse_operator", "type": "Any"}, {"lineNumber": 282, "col_offset": 4, "nodeName": "Fs", "type": "Any"}, {"lineNumber": 286, "col_offset": 4, "nodeName": "Ws", "type": "Any"}, {"lineNumber": 288, "col_offset": 4, "nodeName": "n_jobs", "type": "Any"}, {"lineNumber": 295, "col_offset": 4, "nodeName": "power", "type": "Any"}, {"lineNumber": 296, "col_offset": 4, "nodeName": "power", "type": "Any"}, {"lineNumber": 298, "col_offset": 7, "nodeName": "with_plv", "type": "Any"}, {"lineNumber": 520, "col_offset": 4, "nodeName": "tmin", "type": "float"}, {"lineNumber": 521, "col_offset": 4, "nodeName": "overlap", "type": "float"}, {"lineNumber": 525, "col_offset": 4, "nodeName": "n_fft", "type": "int"}, {"lineNumber": 526, "col_offset": 4, "nodeName": "duration", "type": "Any"}, {"lineNumber": 527, "col_offset": 4, "nodeName": "events", "type": "Any"}, {"lineNumber": 528, "col_offset": 4, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 533, "col_offset": 4, "nodeName": "source_data", "type": "float"}, {"lineNumber": 534, "col_offset": 4, "nodeName": "sensor_data", "type": "float"}, {"lineNumber": 535, "col_offset": 4, "nodeName": "count", "type": "int"}, {"lineNumber": 536, "col_offset": 23, "nodeName": "out", "type": "Any"}, {"lineNumber": 541, "col_offset": 4, "nodeName": "sensor_data", "type": "Any"}, {"lineNumber": 541, "col_offset": 19, "nodeName": "count", "type": "int"}, {"lineNumber": 542, "col_offset": 4, "nodeName": "source_data", "type": "Any"}, {"lineNumber": 542, "col_offset": 19, "nodeName": "count", "type": "int"}, {"lineNumber": 543, "col_offset": 7, "nodeName": "dB", "type": "Union[Any, bool]"}, {"lineNumber": 548, "col_offset": 4, "nodeName": "data", "type": "Any"}, {"lineNumber": 548, "col_offset": 18, "nodeName": "sensor_data", "type": "Any"}, {"lineNumber": 549, "col_offset": 4, "nodeName": "nave", "type": "int"}, {"lineNumber": 549, "col_offset": 18, "nodeName": "count", "type": "int"}, {"lineNumber": 550, "col_offset": 4, "nodeName": "data", "type": "Any"}, {"lineNumber": 550, "col_offset": 15, "nodeName": "source_data", "type": "Any"}, {"lineNumber": 551, "col_offset": 4, "nodeName": "out", "type": "Any"}, {"lineNumber": 551, "col_offset": 10, "nodeName": "stc", "type": "Any"}, {"lineNumber": 552, "col_offset": 7, "nodeName": "return_sensor", "type": "Any"}, {"lineNumber": 554, "col_offset": 11, "nodeName": "out", "type": "Any"}, {"lineNumber": 573, "col_offset": 4, "nodeName": "Vh", "type": "Any"}, {"lineNumber": 582, "col_offset": 4, "nodeName": "n_times", "type": "int"}, {"lineNumber": 583, "col_offset": 4, "nodeName": "sfreq", "type": "Any"}, {"lineNumber": 588, "col_offset": 4, "nodeName": "n_tapers", "type": "int"}, {"lineNumber": 602, "col_offset": 7, "nodeName": "adaptive", "type": "Any"}, {"lineNumber": 608, "col_offset": 4, "nodeName": "subject", "type": "Any"}, {"lineNumber": 609, "col_offset": 4, "nodeName": "iter_epochs", "type": "Any"}, {"lineNumber": 610, "col_offset": 4, "nodeName": "iterable", "type": "Any"}, {"lineNumber": 610, "col_offset": 27, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 611, "col_offset": 4, "nodeName": "evoked_info", "type": "Any"}, {"lineNumber": 778, "col_offset": 7, "nodeName": "return_generator", "type": "Any"}, {"lineNumber": 31, "col_offset": 11, "nodeName": "prepared", "type": "Any"}, {"lineNumber": 35, "col_offset": 8, "nodeName": "inv", "type": "Any"}, {"lineNumber": 35, "col_offset": 14, "nodeName": "inverse_operator", "type": "Any"}, {"lineNumber": 39, "col_offset": 10, "nodeName": "_pick_channels_inverse_operator", "type": "Any"}, {"lineNumber": 39, "col_offset": 42, "nodeName": "ch_names", "type": "Any"}, {"lineNumber": 39, "col_offset": 57, "nodeName": "inv", "type": "Any"}, {"lineNumber": 40, "col_offset": 4, "nodeName": "info", "type": "Any"}, {"lineNumber": 41, "col_offset": 4, "nodeName": "info", "type": "Any"}, {"lineNumber": 49, "col_offset": 4, "nodeName": "K", "type": "Any"}, {"lineNumber": 49, "col_offset": 7, "nodeName": "noise_norm", "type": "Any"}, {"lineNumber": 49, "col_offset": 19, "nodeName": "vertno", "type": "Any"}, {"lineNumber": 49, "col_offset": 27, "nodeName": "_", "type": "Any"}, {"lineNumber": 49, "col_offset": 31, "nodeName": "_assemble_kernel", "type": "Any"}, {"lineNumber": 49, "col_offset": 48, "nodeName": "inv", "type": "Any"}, {"lineNumber": 49, "col_offset": 53, "nodeName": "label", "type": "Any"}, {"lineNumber": 49, "col_offset": 60, "nodeName": "method", "type": "Any"}, {"lineNumber": 49, "col_offset": 68, "nodeName": "pick_ori", "type": "Any"}, {"lineNumber": 53, "col_offset": 8, "nodeName": "rank", "type": "Any"}, {"lineNumber": 54, "col_offset": 8, "nodeName": "K", "type": "Any"}, {"lineNumber": 55, "col_offset": 8, "nodeName": "Vh", "type": "Any"}, {"lineNumber": 58, "col_offset": 8, "nodeName": "Vh", "type": "None"}, {"lineNumber": 59, "col_offset": 52, "nodeName": "FIFFV_MNE_FREE_ORI", "type": "Any"}, {"lineNumber": 61, "col_offset": 11, "nodeName": "K", "type": "Any"}, {"lineNumber": 61, "col_offset": 14, "nodeName": "sel", "type": "Any"}, {"lineNumber": 61, "col_offset": 19, "nodeName": "Vh", "type": "Any"}, {"lineNumber": 61, "col_offset": 23, "nodeName": "vertno", "type": "Any"}, {"lineNumber": 61, "col_offset": 31, "nodeName": "is_free_ori", "type": "Any"}, {"lineNumber": 61, "col_offset": 44, "nodeName": "noise_norm", "type": "Any"}, {"lineNumber": 139, "col_offset": 4, "nodeName": "_check_method", "type": "Any"}, {"lineNumber": 139, "col_offset": 18, "nodeName": "method", "type": "Any"}, {"lineNumber": 141, "col_offset": 12, "nodeName": "concatenate", "type": "Any"}, {"lineNumber": 144, "col_offset": 24, "nodeName": "_source_induced_power", "type": "Any"}, {"lineNumber": 145, "col_offset": 8, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 145, "col_offset": 16, "nodeName": "inverse_operator", "type": "Any"}, {"lineNumber": 145, "col_offset": 34, "nodeName": "freqs", "type": "Any"}, {"lineNumber": 150, "col_offset": 9, "nodeName": "info", "type": "Any"}, {"lineNumber": 151, "col_offset": 11, "nodeName": "dict", "type": "Type[Dict[Any, Any]]"}, {"lineNumber": 153, "col_offset": 14, "nodeName": "_subject_from_inverse", "type": "Any"}, {"lineNumber": 153, "col_offset": 36, "nodeName": "inverse_operator", "type": "Any"}, {"lineNumber": 154, "col_offset": 4, "nodeName": "_log_rescale", "type": "Any"}, {"lineNumber": 154, "col_offset": 17, "nodeName": "baseline", "type": "Any"}, {"lineNumber": 154, "col_offset": 27, "nodeName": "baseline_mode", "type": "Any"}, {"lineNumber": 155, "col_offset": 8, "nodeName": "name", "type": "Any"}, {"lineNumber": 155, "col_offset": 14, "nodeName": "band", "type": "Any"}, {"lineNumber": 155, "col_offset": 22, "nodeName": "items", "type": "Any"}, {"lineNumber": 156, "col_offset": 8, "nodeName": "idx", "type": "List[int]"}, {"lineNumber": 159, "col_offset": 8, "nodeName": "power", "type": "Any"}, {"lineNumber": 165, "col_offset": 8, "nodeName": "tmin", "type": "Any"}, {"lineNumber": 166, "col_offset": 8, "nodeName": "tstep", "type": "Any"}, {"lineNumber": 169, "col_offset": 21, "nodeName": "stc", "type": "Any"}, {"lineNumber": 178, "col_offset": 14, "nodeName": "shape", "type": "Any"}, {"lineNumber": 179, "col_offset": 14, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 179, "col_offset": 18, "nodeName": "Ws", "type": "Any"}, {"lineNumber": 180, "col_offset": 16, "nodeName": "shape", "type": "Any"}, {"lineNumber": 183, "col_offset": 8, "nodeName": "is_free_ori", "type": "bool"}, {"lineNumber": 184, "col_offset": 8, "nodeName": "n_sources", "type": "Any"}, {"lineNumber": 186, "col_offset": 13, "nodeName": "n_sources", "type": "Any"}, {"lineNumber": 186, "col_offset": 24, "nodeName": "n_freqs", "type": "int"}, {"lineNumber": 186, "col_offset": 33, "nodeName": "n_times", "type": "Any"}, {"lineNumber": 187, "col_offset": 11, "nodeName": "shape", "type": "Tuple[Any, int, Any]"}, {"lineNumber": 187, "col_offset": 18, "nodeName": "is_free_ori", "type": "bool"}, {"lineNumber": 194, "col_offset": 4, "nodeName": "shape", "type": "Tuple[Any, int, Any]"}, {"lineNumber": 194, "col_offset": 11, "nodeName": "is_free_ori", "type": "bool"}, {"lineNumber": 194, "col_offset": 25, "nodeName": "_prepare_tfr", "type": "Callable[[Any, Any, Any, Any, Any, Any], Any]"}, {"lineNumber": 194, "col_offset": 38, "nodeName": "data", "type": "Any"}, {"lineNumber": 194, "col_offset": 44, "nodeName": "decim", "type": "Any"}, {"lineNumber": 194, "col_offset": 51, "nodeName": "pick_ori", "type": "Any"}, {"lineNumber": 194, "col_offset": 61, "nodeName": "Ws", "type": "Any"}, {"lineNumber": 194, "col_offset": 65, "nodeName": "K", "type": "Any"}, {"lineNumber": 194, "col_offset": 68, "nodeName": "source_ori", "type": "Any"}, {"lineNumber": 195, "col_offset": 4, "nodeName": "n_sources", "type": "Union[Any, int]"}, {"lineNumber": 195, "col_offset": 15, "nodeName": "n_times", "type": "Union[Any, int]"}, {"lineNumber": 195, "col_offset": 25, "nodeName": "shape", "type": "Tuple[Any, int, Any]"}, {"lineNumber": 196, "col_offset": 12, "nodeName": "zeros", "type": "Any"}, {"lineNumber": 196, "col_offset": 21, "nodeName": "shape", "type": "Tuple[Any, int, Any]"}, {"lineNumber": 198, "col_offset": 47, "nodeName": "with_plv", "type": "Any"}, {"lineNumber": 201, "col_offset": 8, "nodeName": "epoch", "type": "Any"}, {"lineNumber": 210, "col_offset": 8, "nodeName": "power", "type": "Any"}, {"lineNumber": 210, "col_offset": 17, "nodeName": "power_e", "type": "Any"}, {"lineNumber": 211, "col_offset": 11, "nodeName": "with_plv", "type": "Any"}, {"lineNumber": 214, "col_offset": 11, "nodeName": "power", "type": "Any"}, {"lineNumber": 214, "col_offset": 18, "nodeName": "plv", "type": "Any"}, {"lineNumber": 220, "col_offset": 12, "nodeName": "zeros", "type": "Any"}, {"lineNumber": 220, "col_offset": 21, "nodeName": "shape", "type": "Any"}, {"lineNumber": 222, "col_offset": 49, "nodeName": "with_plv", "type": "Any"}, {"lineNumber": 223, "col_offset": 4, "nodeName": "n_sources", "type": "Any"}, {"lineNumber": 223, "col_offset": 15, "nodeName": "_", "type": "Any"}, {"lineNumber": 223, "col_offset": 18, "nodeName": "n_times", "type": "Any"}, {"lineNumber": 224, "col_offset": 8, "nodeName": "f", "type": "int"}, {"lineNumber": 224, "col_offset": 11, "nodeName": "w", "type": "Any"}, {"lineNumber": 224, "col_offset": 16, "nodeName": "enumerate", "type": "Type[enumerate[Any]]"}, {"lineNumber": 224, "col_offset": 26, "nodeName": "Ws", "type": "Any"}, {"lineNumber": 225, "col_offset": 8, "nodeName": "tfr_", "type": "Any"}, {"lineNumber": 226, "col_offset": 8, "nodeName": "tfr_", "type": "Any"}, {"lineNumber": 229, "col_offset": 11, "nodeName": "with_plv", "type": "Any"}, {"lineNumber": 232, "col_offset": 8, "nodeName": "tfr_f", "type": "Any"}, {"lineNumber": 255, "col_offset": 26, "nodeName": "tfr_f", "type": "Any"}, {"lineNumber": 258, "col_offset": 11, "nodeName": "with_plv", "type": "Any"}, {"lineNumber": 263, "col_offset": 11, "nodeName": "tfr_e", "type": "Any"}, {"lineNumber": 263, "col_offset": 18, "nodeName": "plv_e", "type": "Any"}, {"lineNumber": 273, "col_offset": 18, "nodeName": "get_data", "type": "Any"}, {"lineNumber": 274, "col_offset": 50, "nodeName": "_prepare_source_params", "type": "Callable[..., Any]"}, {"lineNumber": 280, "col_offset": 47, "nodeName": "parallel_func", "type": "Any"}, {"lineNumber": 281, "col_offset": 8, "nodeName": "_compute_pow_plv", "type": "Any"}, {"lineNumber": 281, "col_offset": 26, "nodeName": "n_jobs", "type": "Any"}, {"lineNumber": 282, "col_offset": 9, "nodeName": "info", "type": "Any"}, {"lineNumber": 284, "col_offset": 4, "nodeName": "info", "type": "Any"}, {"lineNumber": 286, "col_offset": 9, "nodeName": "morlet", "type": "Any"}, {"lineNumber": 286, "col_offset": 16, "nodeName": "Fs", "type": "Any"}, {"lineNumber": 286, "col_offset": 20, "nodeName": "freqs", "type": "Any"}, {"lineNumber": 288, "col_offset": 13, "nodeName": "min", "type": "Callable"}, {"lineNumber": 288, "col_offset": 17, "nodeName": "n_jobs", "type": "Any"}, {"lineNumber": 289, "col_offset": 10, "nodeName": "parallel", "type": "Any"}, {"lineNumber": 295, "col_offset": 12, "nodeName": "sum", "type": "Callable"}, {"lineNumber": 296, "col_offset": 13, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 296, "col_offset": 17, "nodeName": "epochs_data", "type": "Any"}, {"lineNumber": 299, "col_offset": 8, "nodeName": "plv", "type": "Any"}, {"lineNumber": 300, "col_offset": 8, "nodeName": "plv", "type": "Any"}, {"lineNumber": 301, "col_offset": 8, "nodeName": "plv", "type": "Any"}, {"lineNumber": 303, "col_offset": 8, "nodeName": "plv", "type": "None"}, {"lineNumber": 305, "col_offset": 7, "nodeName": "method", "type": "Any"}, {"lineNumber": 306, "col_offset": 8, "nodeName": "power", "type": "Any"}, {"lineNumber": 308, "col_offset": 11, "nodeName": "power", "type": "Any"}, {"lineNumber": 308, "col_offset": 18, "nodeName": "plv", "type": "Any"}, {"lineNumber": 308, "col_offset": 23, "nodeName": "vertno", "type": "Any"}, {"lineNumber": 387, "col_offset": 4, "nodeName": "_check_method", "type": "Any"}, {"lineNumber": 387, "col_offset": 18, "nodeName": "method", "type": "Any"}, {"lineNumber": 388, "col_offset": 4, "nodeName": "_check_ori", "type": "Any"}, {"lineNumber": 388, "col_offset": 15, "nodeName": "pick_ori", "type": "Any"}, {"lineNumber": 390, "col_offset": 25, "nodeName": "_source_induced_power", "type": "Any"}, {"lineNumber": 391, "col_offset": 8, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 391, "col_offset": 16, "nodeName": "inverse_operator", "type": "Any"}, {"lineNumber": 391, "col_offset": 34, "nodeName": "freqs", "type": "Any"}, {"lineNumber": 397, "col_offset": 12, "nodeName": "rescale", "type": "Any"}, {"lineNumber": 397, "col_offset": 20, "nodeName": "power", "type": "Any"}, {"lineNumber": 397, "col_offset": 50, "nodeName": "baseline", "type": "Any"}, {"lineNumber": 397, "col_offset": 60, "nodeName": "baseline_mode", "type": "Any"}, {"lineNumber": 399, "col_offset": 11, "nodeName": "power", "type": "Any"}, {"lineNumber": 399, "col_offset": 18, "nodeName": "plv", "type": "Any"}, {"lineNumber": 516, "col_offset": 7, "nodeName": "dB", "type": "Any"}, {"lineNumber": 517, "col_offset": 8, "nodeName": "dB", "type": "bool"}, {"lineNumber": 521, "col_offset": 14, "nodeName": "float", "type": "Type[float]"}, {"lineNumber": 521, "col_offset": 20, "nodeName": "overlap", "type": "Any"}, {"lineNumber": 525, "col_offset": 12, "nodeName": "int", "type": "Type[int]"}, {"lineNumber": 525, "col_offset": 16, "nodeName": "n_fft", "type": "Any"}, {"lineNumber": 527, "col_offset": 13, "nodeName": "make_fixed_length_events", "type": "Any"}, {"lineNumber": 527, "col_offset": 38, "nodeName": "raw", "type": "Any"}, {"lineNumber": 527, "col_offset": 46, "nodeName": "tmin", "type": "float"}, {"lineNumber": 527, "col_offset": 52, "nodeName": "tmax", "type": "Any"}, {"lineNumber": 527, "col_offset": 58, "nodeName": "duration", "type": "Any"}, {"lineNumber": 528, "col_offset": 13, "nodeName": "Epochs", "type": "Any"}, {"lineNumber": 528, "col_offset": 20, "nodeName": "raw", "type": "Any"}, {"lineNumber": 528, "col_offset": 25, "nodeName": "events", "type": "Any"}, {"lineNumber": 529, "col_offset": 10, "nodeName": "compute_source_psd_epochs", "type": "Any"}, {"lineNumber": 530, "col_offset": 8, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 530, "col_offset": 16, "nodeName": "inverse_operator", "type": "Any"}, {"lineNumber": 530, "col_offset": 34, "nodeName": "lambda2", "type": "Any"}, {"lineNumber": 530, "col_offset": 43, "nodeName": "method", "type": "Any"}, {"lineNumber": 530, "col_offset": 51, "nodeName": "fmin", "type": "Any"}, {"lineNumber": 530, "col_offset": 57, "nodeName": "fmax", "type": "Any"}, {"lineNumber": 531, "col_offset": 8, "nodeName": "pick_ori", "type": "Any"}, {"lineNumber": 531, "col_offset": 18, "nodeName": "label", "type": "Any"}, {"lineNumber": 531, "col_offset": 25, "nodeName": "nave", "type": "Any"}, {"lineNumber": 531, "col_offset": 31, "nodeName": "pca", "type": "Any"}, {"lineNumber": 531, "col_offset": 36, "nodeName": "inv_split", "type": "Any"}, {"lineNumber": 531, "col_offset": 47, "nodeName": "bandwidth", "type": "Any"}, {"lineNumber": 531, "col_offset": 58, "nodeName": "adaptive", "type": "Any"}, {"lineNumber": 531, "col_offset": 68, "nodeName": "low_bias", "type": "Any"}, {"lineNumber": 532, "col_offset": 14, "nodeName": "n_jobs", "type": "Any"}, {"lineNumber": 532, "col_offset": 22, "nodeName": "prepared", "type": "Any"}, {"lineNumber": 532, "col_offset": 32, "nodeName": "method_params", "type": "Any"}, {"lineNumber": 536, "col_offset": 8, "nodeName": "stc", "type": "Any"}, {"lineNumber": 536, "col_offset": 13, "nodeName": "evoked", "type": "Any"}, {"lineNumber": 537, "col_offset": 8, "nodeName": "source_data", "type": "Any"}, {"lineNumber": 537, "col_offset": 23, "nodeName": "data", "type": "Any"}, {"lineNumber": 538, "col_offset": 8, "nodeName": "sensor_data", "type": "Any"}, {"lineNumber": 538, "col_offset": 23, "nodeName": "data", "type": "Any"}, {"lineNumber": 539, "col_offset": 8, "nodeName": "count", "type": "int"}, {"lineNumber": 540, "col_offset": 11, "nodeName": "count", "type": "int"}, {"lineNumber": 545, "col_offset": 8, "nodeName": "sensor_data", "type": "Any"}, {"lineNumber": 547, "col_offset": 8, "nodeName": "source_data", "type": "Any"}, {"lineNumber": 548, "col_offset": 4, "nodeName": "evoked", "type": "Any"}, {"lineNumber": 549, "col_offset": 4, "nodeName": "evoked", "type": "Any"}, {"lineNumber": 550, "col_offset": 4, "nodeName": "stc", "type": "Any"}, {"lineNumber": 553, "col_offset": 8, "nodeName": "out", "type": "Tuple[Any, Any]"}, {"lineNumber": 565, "col_offset": 4, "nodeName": "info", "type": "Any"}, {"lineNumber": 567, "col_offset": 50, "nodeName": "_prepare_source_params", "type": "Callable[..., Any]"}, {"lineNumber": 573, "col_offset": 47, "nodeName": "Vh", "type": "Any"}, {"lineNumber": 576, "col_offset": 7, "nodeName": "inv_split", "type": "Any"}, {"lineNumber": 577, "col_offset": 8, "nodeName": "K_split", "type": "Any"}, {"lineNumber": 579, "col_offset": 8, "nodeName": "K_split", "type": "List[Any]"}, {"lineNumber": 582, "col_offset": 14, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 582, "col_offset": 18, "nodeName": "times", "type": "Any"}, {"lineNumber": 583, "col_offset": 12, "nodeName": "info", "type": "Any"}, {"lineNumber": 585, "col_offset": 30, "nodeName": "_compute_mt_params", "type": "Any"}, {"lineNumber": 586, "col_offset": 8, "nodeName": "n_times", "type": "int"}, {"lineNumber": 586, "col_offset": 17, "nodeName": "sfreq", "type": "Any"}, {"lineNumber": 586, "col_offset": 24, "nodeName": "bandwidth", "type": "Any"}, {"lineNumber": 586, "col_offset": 35, "nodeName": "low_bias", "type": "Any"}, {"lineNumber": 586, "col_offset": 45, "nodeName": "adaptive", "type": "Any"}, {"lineNumber": 588, "col_offset": 15, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 588, "col_offset": 19, "nodeName": "dpss", "type": "Any"}, {"lineNumber": 590, "col_offset": 8, "nodeName": "n_epochs", "type": "int"}, {"lineNumber": 591, "col_offset": 11, "nodeName": "RuntimeError", "type": "Type[RuntimeError]"}, {"lineNumber": 595, "col_offset": 8, "nodeName": "extra", "type": "str"}, {"lineNumber": 596, "col_offset": 7, "nodeName": "isinstance", "type": "Callable[[Any, Union[Type[Any], Tuple[Union[Type[Any], Tuple[Type[Any], ...]], ...]]], bool]"}, {"lineNumber": 596, "col_offset": 18, "nodeName": "bandwidth", "type": "Any"}, {"lineNumber": 596, "col_offset": 29, "nodeName": "string_types", "type": "Any"}, {"lineNumber": 597, "col_offset": 8, "nodeName": "bandwidth", "type": "str"}, {"lineNumber": 599, "col_offset": 8, "nodeName": "bandwidth", "type": "str"}, {"lineNumber": 600, "col_offset": 4, "nodeName": "info", "type": "Any"}, {"lineNumber": 606, "col_offset": 8, "nodeName": "weights", "type": "Any"}, {"lineNumber": 608, "col_offset": 14, "nodeName": "_subject_from_inverse", "type": "Any"}, {"lineNumber": 608, "col_offset": 36, "nodeName": "inverse_operator", "type": "Any"}, {"lineNumber": 609, "col_offset": 18, "nodeName": "ProgressBar", "type": "Any"}, {"lineNumber": 609, "col_offset": 30, "nodeName": "n_epochs", "type": "int"}, {"lineNumber": 610, "col_offset": 4, "nodeName": "iter_epochs", "type": "Any"}, {"lineNumber": 611, "col_offset": 18, "nodeName": "pick_info", "type": "Any"}, {"lineNumber": 611, "col_offset": 28, "nodeName": "info", "type": "Any"}, {"lineNumber": 611, "col_offset": 41, "nodeName": "sel", "type": "Any"}, {"lineNumber": 612, "col_offset": 8, "nodeName": "k", "type": "int"}, {"lineNumber": 612, "col_offset": 11, "nodeName": "e", "type": "Any"}, {"lineNumber": 612, "col_offset": 16, "nodeName": "enumerate", "type": "Type[enumerate[Any]]"}, {"lineNumber": 612, "col_offset": 26, "nodeName": "iter_epochs", "type": "Any"}, {"lineNumber": 613, "col_offset": 8, "nodeName": "data", "type": "Any"}, {"lineNumber": 622, "col_offset": 8, "nodeName": "freqs", "type": "Any"}, {"lineNumber": 627, "col_offset": 12, "nodeName": "i", "type": "int"}, {"lineNumber": 629, "col_offset": 11, "nodeName": "adaptive", "type": "Any"}, {"lineNumber": 640, "col_offset": 8, "nodeName": "psd", "type": "Any"}, {"lineNumber": 645, "col_offset": 8, "nodeName": "pos", "type": "int"}, {"lineNumber": 646, "col_offset": 12, "nodeName": "K_part", "type": "Any"}, {"lineNumber": 646, "col_offset": 22, "nodeName": "K_split", "type": "Any"}, {"lineNumber": 679, "col_offset": 11, "nodeName": "return_sensor", "type": "Any"}, {"lineNumber": 687, "col_offset": 4, "nodeName": "update", "type": "Any"}, {"lineNumber": 687, "col_offset": 23, "nodeName": "n_epochs", "type": "int"}, {"lineNumber": 688, "col_offset": 4, "nodeName": "__exit__", "type": "Any"}, {"lineNumber": 771, "col_offset": 15, "nodeName": "_compute_source_psd_epochs", "type": "Callable[..., Any]"}, {"lineNumber": 772, "col_offset": 8, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 772, "col_offset": 16, "nodeName": "inverse_operator", "type": "Any"}, {"lineNumber": 780, "col_offset": 15, "nodeName": "stcs_gen", "type": "Generator[Any, Any, None]"}, {"lineNumber": 783, "col_offset": 8, "nodeName": "stcs", "type": "List[Any]"}, {"lineNumber": 784, "col_offset": 12, "nodeName": "stc", "type": "Any"}, {"lineNumber": 784, "col_offset": 19, "nodeName": "stcs_gen", "type": "Generator[Any, Any, None]"}, {"lineNumber": 787, "col_offset": 15, "nodeName": "stcs", "type": "List[Any]"}, {"lineNumber": 32, "col_offset": 14, "nodeName": "prepare_inverse_operator", "type": "Any"}, {"lineNumber": 32, "col_offset": 39, "nodeName": "inverse_operator", "type": "Any"}, {"lineNumber": 32, "col_offset": 57, "nodeName": "nave", "type": "Any"}, {"lineNumber": 32, "col_offset": 63, "nodeName": "lambda2", "type": "Any"}, {"lineNumber": 32, "col_offset": 72, "nodeName": "method", "type": "Any"}, {"lineNumber": 33, "col_offset": 39, "nodeName": "method_params", "type": "Any"}, {"lineNumber": 39, "col_offset": 42, "nodeName": "inst", "type": "Any"}, {"lineNumber": 40, "col_offset": 4, "nodeName": "logger", "type": "Any"}, {"lineNumber": 41, "col_offset": 4, "nodeName": "logger", "type": "Any"}, {"lineNumber": 52, "col_offset": 8, "nodeName": "U", "type": "Any"}, {"lineNumber": 52, "col_offset": 11, "nodeName": "s", "type": "Any"}, {"lineNumber": 52, "col_offset": 14, "nodeName": "Vh", "type": "Any"}, {"lineNumber": 52, "col_offset": 19, "nodeName": "svd", "type": "Any"}, {"lineNumber": 52, "col_offset": 30, "nodeName": "K", "type": "Any"}, {"lineNumber": 53, "col_offset": 15, "nodeName": "sum", "type": "Any"}, {"lineNumber": 55, "col_offset": 13, "nodeName": "Vh", "type": "Any"}, {"lineNumber": 56, "col_offset": 8, "nodeName": "info", "type": "Any"}, {"lineNumber": 59, "col_offset": 18, "nodeName": "inverse_operator", "type": "Any"}, {"lineNumber": 59, "col_offset": 52, "nodeName": "FIFF", "type": "Any"}, {"lineNumber": 141, "col_offset": 12, "nodeName": "np", "type": "module"}, {"lineNumber": 145, "col_offset": 47, "nodeName": "label", "type": "Any"}, {"lineNumber": 145, "col_offset": 62, "nodeName": "lambda2", "type": "Any"}, {"lineNumber": 146, "col_offset": 15, "nodeName": "method", "type": "Any"}, {"lineNumber": 146, "col_offset": 28, "nodeName": "nave", "type": "Any"}, {"lineNumber": 146, "col_offset": 43, "nodeName": "n_cycles", "type": "Any"}, {"lineNumber": 146, "col_offset": 59, "nodeName": "decim", "type": "Any"}, {"lineNumber": 147, "col_offset": 16, "nodeName": "use_fft", "type": "Any"}, {"lineNumber": 147, "col_offset": 29, "nodeName": "pca", "type": "Any"}, {"lineNumber": 147, "col_offset": 41, "nodeName": "n_jobs", "type": "Any"}, {"lineNumber": 148, "col_offset": 17, "nodeName": "prepared", "type": "Any"}, {"lineNumber": 148, "col_offset": 41, "nodeName": "method_params", "type": "Any"}, {"lineNumber": 150, "col_offset": 9, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 155, "col_offset": 22, "nodeName": "bands", "type": "Any"}, {"lineNumber": 156, "col_offset": 15, "nodeName": "k", "type": "int"}, {"lineNumber": 159, "col_offset": 16, "nodeName": "mean", "type": "Any"}, {"lineNumber": 162, "col_offset": 16, "nodeName": "rescale", "type": "Any"}, {"lineNumber": 162, "col_offset": 24, "nodeName": "power", "type": "Any"}, {"lineNumber": 162, "col_offset": 54, "nodeName": "baseline", "type": "Any"}, {"lineNumber": 162, "col_offset": 64, "nodeName": "baseline_mode", "type": "Any"}, {"lineNumber": 165, "col_offset": 15, "nodeName": "times", "type": "Any"}, {"lineNumber": 166, "col_offset": 31, "nodeName": "Fs", "type": "Any"}, {"lineNumber": 167, "col_offset": 14, "nodeName": "_make_stc", "type": "Any"}, {"lineNumber": 167, "col_offset": 24, "nodeName": "power", "type": "Any"}, {"lineNumber": 169, "col_offset": 8, "nodeName": "stcs", "type": "Dict[Any, Any]"}, {"lineNumber": 171, "col_offset": 8, "nodeName": "info", "type": "Any"}, {"lineNumber": 180, "col_offset": 16, "nodeName": "K", "type": "Any"}, {"lineNumber": 182, "col_offset": 8, "nodeName": "source_ori", "type": "Any"}, {"lineNumber": 182, "col_offset": 22, "nodeName": "FIFFV_MNE_FREE_ORI", "type": "Any"}, {"lineNumber": 182, "col_offset": 50, "nodeName": "pick_ori", "type": "Any"}, {"lineNumber": 196, "col_offset": 12, "nodeName": "np", "type": "module"}, {"lineNumber": 196, "col_offset": 34, "nodeName": "float", "type": "Any"}, {"lineNumber": 198, "col_offset": 10, "nodeName": "zeros", "type": "Any"}, {"lineNumber": 198, "col_offset": 19, "nodeName": "shape", "type": "Tuple[Any, int, Any]"}, {"lineNumber": 201, "col_offset": 16, "nodeName": "epoch", "type": "Any"}, {"lineNumber": 203, "col_offset": 11, "nodeName": "Vh", "type": "Any"}, {"lineNumber": 204, "col_offset": 12, "nodeName": "epoch", "type": "Any"}, {"lineNumber": 206, "col_offset": 25, "nodeName": "_single_epoch_tfr", "type": "Callable[[Any, Any, Any, Any, Any, Any, Any, Any, Any], Any]"}, {"lineNumber": 212, "col_offset": 12, "nodeName": "plv", "type": "Any"}, {"lineNumber": 212, "col_offset": 19, "nodeName": "plv_e", "type": "Any"}, {"lineNumber": 220, "col_offset": 12, "nodeName": "np", "type": "module"}, {"lineNumber": 220, "col_offset": 34, "nodeName": "float", "type": "Any"}, {"lineNumber": 222, "col_offset": 12, "nodeName": "zeros", "type": "Any"}, {"lineNumber": 222, "col_offset": 21, "nodeName": "shape", "type": "Any"}, {"lineNumber": 225, "col_offset": 15, "nodeName": "cwt", "type": "Any"}, {"lineNumber": 225, "col_offset": 19, "nodeName": "data", "type": "Any"}, {"lineNumber": 226, "col_offset": 15, "nodeName": "asfortranarray", "type": "Any"}, {"lineNumber": 230, "col_offset": 12, "nodeName": "plv_f", "type": "Any"}, {"lineNumber": 232, "col_offset": 16, "nodeName": "zeros", "type": "Any"}, {"lineNumber": 234, "col_offset": 12, "nodeName": "k", "type": "int"}, {"lineNumber": 234, "col_offset": 15, "nodeName": "t", "type": "Any"}, {"lineNumber": 234, "col_offset": 20, "nodeName": "enumerate", "type": "Type[enumerate[Any]]"}, {"lineNumber": 235, "col_offset": 12, "nodeName": "sol", "type": "Any"}, {"lineNumber": 237, "col_offset": 12, "nodeName": "sol_pick_normal", "type": "Any"}, {"lineNumber": 237, "col_offset": 30, "nodeName": "sol", "type": "Any"}, {"lineNumber": 238, "col_offset": 15, "nodeName": "is_free_ori", "type": "Any"}, {"lineNumber": 241, "col_offset": 15, "nodeName": "with_plv", "type": "Any"}, {"lineNumber": 247, "col_offset": 15, "nodeName": "is_free_ori", "type": "Any"}, {"lineNumber": 252, "col_offset": 12, "nodeName": "tfr_f", "type": "Any"}, {"lineNumber": 252, "col_offset": 21, "nodeName": "sol", "type": "Any"}, {"lineNumber": 255, "col_offset": 8, "nodeName": "tfr_e", "type": "Any"}, {"lineNumber": 259, "col_offset": 12, "nodeName": "plv_f", "type": "Any"}, {"lineNumber": 260, "col_offset": 30, "nodeName": "plv_f", "type": "Any"}, {"lineNumber": 273, "col_offset": 18, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 275, "col_offset": 13, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 275, "col_offset": 38, "nodeName": "inverse_operator", "type": "Any"}, {"lineNumber": 275, "col_offset": 62, "nodeName": "label", "type": "Any"}, {"lineNumber": 276, "col_offset": 16, "nodeName": "lambda2", "type": "Any"}, {"lineNumber": 276, "col_offset": 32, "nodeName": "method", "type": "Any"}, {"lineNumber": 276, "col_offset": 45, "nodeName": "nave", "type": "Any"}, {"lineNumber": 276, "col_offset": 55, "nodeName": "pca", "type": "Any"}, {"lineNumber": 276, "col_offset": 69, "nodeName": "pick_ori", "type": "Any"}, {"lineNumber": 277, "col_offset": 17, "nodeName": "prepared", "type": "Any"}, {"lineNumber": 277, "col_offset": 41, "nodeName": "method_params", "type": "Any"}, {"lineNumber": 277, "col_offset": 64, "nodeName": "verbose", "type": "Any"}, {"lineNumber": 282, "col_offset": 9, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 284, "col_offset": 4, "nodeName": "logger", "type": "Any"}, {"lineNumber": 286, "col_offset": 36, "nodeName": "n_cycles", "type": "Any"}, {"lineNumber": 286, "col_offset": 56, "nodeName": "zero_mean", "type": "Any"}, {"lineNumber": 288, "col_offset": 25, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 288, "col_offset": 29, "nodeName": "epochs_data", "type": "Any"}, {"lineNumber": 299, "col_offset": 14, "nodeName": "sum", "type": "Callable"}, {"lineNumber": 300, "col_offset": 14, "nodeName": "abs", "type": "Any"}, {"lineNumber": 300, "col_offset": 21, "nodeName": "plv", "type": "Any"}, {"lineNumber": 301, "col_offset": 15, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 301, "col_offset": 19, "nodeName": "epochs_data", "type": "Any"}, {"lineNumber": 388, "col_offset": 25, "nodeName": "inverse_operator", "type": "Any"}, {"lineNumber": 391, "col_offset": 47, "nodeName": "label", "type": "Any"}, {"lineNumber": 391, "col_offset": 62, "nodeName": "lambda2", "type": "Any"}, {"lineNumber": 392, "col_offset": 15, "nodeName": "method", "type": "Any"}, {"lineNumber": 392, "col_offset": 28, "nodeName": "nave", "type": "Any"}, {"lineNumber": 392, "col_offset": 43, "nodeName": "n_cycles", "type": "Any"}, {"lineNumber": 392, "col_offset": 59, "nodeName": "decim", "type": "Any"}, {"lineNumber": 393, "col_offset": 16, "nodeName": "use_fft", "type": "Any"}, {"lineNumber": 393, "col_offset": 34, "nodeName": "pick_ori", "type": "Any"}, {"lineNumber": 393, "col_offset": 48, "nodeName": "pca", "type": "Any"}, {"lineNumber": 393, "col_offset": 60, "nodeName": "n_jobs", "type": "Any"}, {"lineNumber": 394, "col_offset": 38, "nodeName": "method_params", "type": "Any"}, {"lineNumber": 397, "col_offset": 27, "nodeName": "times", "type": "Any"}, {"lineNumber": 518, "col_offset": 8, "nodeName": "warn", "type": "Any"}, {"lineNumber": 519, "col_offset": 56, "nodeName": "DeprecationWarning", "type": "Type[DeprecationWarning]"}, {"lineNumber": 520, "col_offset": 17, "nodeName": "tmin", "type": "Any"}, {"lineNumber": 520, "col_offset": 35, "nodeName": "float", "type": "Type[float]"}, {"lineNumber": 520, "col_offset": 41, "nodeName": "tmin", "type": "Any"}, {"lineNumber": 522, "col_offset": 16, "nodeName": "overlap", "type": "float"}, {"lineNumber": 523, "col_offset": 14, "nodeName": "ValueError", "type": "Type[ValueError]"}, {"lineNumber": 526, "col_offset": 33, "nodeName": "n_fft", "type": "int"}, {"lineNumber": 526, "col_offset": 42, "nodeName": "info", "type": "Any"}, {"lineNumber": 537, "col_offset": 23, "nodeName": "stc", "type": "Any"}, {"lineNumber": 538, "col_offset": 23, "nodeName": "evoked", "type": "Any"}, {"lineNumber": 544, "col_offset": 8, "nodeName": "log10", "type": "Any"}, {"lineNumber": 544, "col_offset": 17, "nodeName": "sensor_data", "type": "Any"}, {"lineNumber": 546, "col_offset": 8, "nodeName": "log10", "type": "Any"}, {"lineNumber": 546, "col_offset": 17, "nodeName": "source_data", "type": "Any"}, {"lineNumber": 553, "col_offset": 15, "nodeName": "out", "type": "Any"}, {"lineNumber": 553, "col_offset": 20, "nodeName": "evoked", "type": "Any"}, {"lineNumber": 565, "col_offset": 4, "nodeName": "logger", "type": "Any"}, {"lineNumber": 568, "col_offset": 13, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 568, "col_offset": 38, "nodeName": "inverse_operator", "type": "Any"}, {"lineNumber": 568, "col_offset": 62, "nodeName": "label", "type": "Any"}, {"lineNumber": 569, "col_offset": 16, "nodeName": "lambda2", "type": "Any"}, {"lineNumber": 569, "col_offset": 32, "nodeName": "method", "type": "Any"}, {"lineNumber": 569, "col_offset": 45, "nodeName": "nave", "type": "Any"}, {"lineNumber": 569, "col_offset": 55, "nodeName": "pca", "type": "Any"}, {"lineNumber": 569, "col_offset": 69, "nodeName": "pick_ori", "type": "Any"}, {"lineNumber": 570, "col_offset": 17, "nodeName": "prepared", "type": "Any"}, {"lineNumber": 570, "col_offset": 41, "nodeName": "method_params", "type": "Any"}, {"lineNumber": 570, "col_offset": 64, "nodeName": "verbose", "type": "Any"}, {"lineNumber": 573, "col_offset": 31, "nodeName": "Vh", "type": "Any"}, {"lineNumber": 573, "col_offset": 9, "nodeName": "eye", "type": "Any"}, {"lineNumber": 577, "col_offset": 18, "nodeName": "array_split", "type": "Any"}, {"lineNumber": 577, "col_offset": 33, "nodeName": "K", "type": "Any"}, {"lineNumber": 577, "col_offset": 36, "nodeName": "inv_split", "type": "Any"}, {"lineNumber": 579, "col_offset": 19, "nodeName": "K", "type": "Any"}, {"lineNumber": 582, "col_offset": 18, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 583, "col_offset": 12, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 590, "col_offset": 19, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 590, "col_offset": 23, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 592, "col_offset": 8, "nodeName": "n_epochs", "type": "int"}, {"lineNumber": 593, "col_offset": 8, "nodeName": "extra", "type": "str"}, {"lineNumber": 600, "col_offset": 4, "nodeName": "logger", "type": "Any"}, {"lineNumber": 604, "col_offset": 12, "nodeName": "parallel_func", "type": "Any"}, {"lineNumber": 604, "col_offset": 26, "nodeName": "_psd_from_mt_adaptive", "type": "Any"}, {"lineNumber": 604, "col_offset": 49, "nodeName": "n_jobs", "type": "Any"}, {"lineNumber": 611, "col_offset": 28, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 613, "col_offset": 15, "nodeName": "dot", "type": "Any"}, {"lineNumber": 613, "col_offset": 22, "nodeName": "Vh", "type": "Any"}, {"lineNumber": 616, "col_offset": 8, "nodeName": "x_mt", "type": "Any"}, {"lineNumber": 616, "col_offset": 14, "nodeName": "freqs", "type": "Any"}, {"lineNumber": 616, "col_offset": 22, "nodeName": "_mt_spectra", "type": "Any"}, {"lineNumber": 616, "col_offset": 34, "nodeName": "data", "type": "Any"}, {"lineNumber": 616, "col_offset": 40, "nodeName": "dpss", "type": "Any"}, {"lineNumber": 616, "col_offset": 46, "nodeName": "sfreq", "type": "Any"}, {"lineNumber": 618, "col_offset": 11, "nodeName": "k", "type": "int"}, {"lineNumber": 619, "col_offset": 12, "nodeName": "freq_mask", "type": "Any"}, {"lineNumber": 620, "col_offset": 12, "nodeName": "fstep", "type": "Any"}, {"lineNumber": 622, "col_offset": 16, "nodeName": "freqs", "type": "Any"}, {"lineNumber": 625, "col_offset": 22, "nodeName": "empty", "type": "Any"}, {"lineNumber": 627, "col_offset": 17, "nodeName": "range", "type": "Callable[..., List[int]]"}, {"lineNumber": 627, "col_offset": 23, "nodeName": "n_tapers", "type": "int"}, {"lineNumber": 634, "col_offset": 12, "nodeName": "sensor_psd", "type": "Any"}, {"lineNumber": 636, "col_offset": 12, "nodeName": "x_mt_sensor", "type": "Any"}, {"lineNumber": 637, "col_offset": 12, "nodeName": "sensor_psd", "type": "Any"}, {"lineNumber": 640, "col_offset": 14, "nodeName": "empty", "type": "Any"}, {"lineNumber": 652, "col_offset": 16, "nodeName": "i", "type": "int"}, {"lineNumber": 656, "col_offset": 15, "nodeName": "adaptive", "type": "Any"}, {"lineNumber": 666, "col_offset": 48, "nodeName": "this_psd", "type": "Any"}, {"lineNumber": 667, "col_offset": 12, "nodeName": "pos", "type": "Any"}, {"lineNumber": 670, "col_offset": 11, "nodeName": "is_free_ori", "type": "Any"}, {"lineNumber": 671, "col_offset": 12, "nodeName": "psd", "type": "Any"}, {"lineNumber": 673, "col_offset": 11, "nodeName": "method", "type": "Any"}, {"lineNumber": 674, "col_offset": 12, "nodeName": "psd", "type": "Any"}, {"lineNumber": 676, "col_offset": 14, "nodeName": "_make_stc", "type": "Any"}, {"lineNumber": 676, "col_offset": 24, "nodeName": "psd", "type": "Any"}, {"lineNumber": 680, "col_offset": 12, "nodeName": "comment", "type": "str"}, {"lineNumber": 685, "col_offset": 14, "nodeName": "out", "type": "Any"}, {"lineNumber": 687, "col_offset": 4, "nodeName": "iter_epochs", "type": "Any"}, {"lineNumber": 688, "col_offset": 4, "nodeName": "iter_epochs", "type": "Any"}, {"lineNumber": 772, "col_offset": 42, "nodeName": "lambda2", "type": "Any"}, {"lineNumber": 772, "col_offset": 58, "nodeName": "method", "type": "Any"}, {"lineNumber": 773, "col_offset": 13, "nodeName": "fmin", "type": "Any"}, {"lineNumber": 773, "col_offset": 24, "nodeName": "fmax", "type": "Any"}, {"lineNumber": 773, "col_offset": 39, "nodeName": "pick_ori", "type": "Any"}, {"lineNumber": 773, "col_offset": 55, "nodeName": "label", "type": "Any"}, {"lineNumber": 774, "col_offset": 13, "nodeName": "nave", "type": "Any"}, {"lineNumber": 774, "col_offset": 23, "nodeName": "pca", "type": "Any"}, {"lineNumber": 774, "col_offset": 38, "nodeName": "inv_split", "type": "Any"}, {"lineNumber": 774, "col_offset": 59, "nodeName": "bandwidth", "type": "Any"}, {"lineNumber": 775, "col_offset": 17, "nodeName": "adaptive", "type": "Any"}, {"lineNumber": 775, "col_offset": 36, "nodeName": "low_bias", "type": "Any"}, {"lineNumber": 775, "col_offset": 53, "nodeName": "n_jobs", "type": "Any"}, {"lineNumber": 775, "col_offset": 70, "nodeName": "prepared", "type": "Any"}, {"lineNumber": 776, "col_offset": 22, "nodeName": "method_params", "type": "Any"}, {"lineNumber": 776, "col_offset": 51, "nodeName": "return_sensor", "type": "Any"}, {"lineNumber": 783, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 40, "col_offset": 53, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 40, "col_offset": 57, "nodeName": "sel", "type": "Any"}, {"lineNumber": 52, "col_offset": 19, "nodeName": "linalg", "type": "Any"}, {"lineNumber": 53, "col_offset": 15, "nodeName": "np", "type": "module"}, {"lineNumber": 53, "col_offset": 22, "nodeName": "s", "type": "Any"}, {"lineNumber": 54, "col_offset": 12, "nodeName": "s", "type": "Any"}, {"lineNumber": 54, "col_offset": 23, "nodeName": "U", "type": "Any"}, {"lineNumber": 55, "col_offset": 17, "nodeName": "rank", "type": "Any"}, {"lineNumber": 56, "col_offset": 8, "nodeName": "logger", "type": "Any"}, {"lineNumber": 159, "col_offset": 16, "nodeName": "np", "type": "module"}, {"lineNumber": 159, "col_offset": 24, "nodeName": "powers", "type": "Any"}, {"lineNumber": 162, "col_offset": 31, "nodeName": "times", "type": "Any"}, {"lineNumber": 165, "col_offset": 15, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 166, "col_offset": 16, "nodeName": "float", "type": "Type[float]"}, {"lineNumber": 166, "col_offset": 22, "nodeName": "decim", "type": "Any"}, {"lineNumber": 167, "col_offset": 40, "nodeName": "vertno", "type": "Any"}, {"lineNumber": 167, "col_offset": 53, "nodeName": "tmin", "type": "Any"}, {"lineNumber": 167, "col_offset": 65, "nodeName": "tstep", "type": "Any"}, {"lineNumber": 168, "col_offset": 32, "nodeName": "subject", "type": "Any"}, {"lineNumber": 168, "col_offset": 50, "nodeName": "kind", "type": "Any"}, {"lineNumber": 169, "col_offset": 13, "nodeName": "name", "type": "Any"}, {"lineNumber": 171, "col_offset": 8, "nodeName": "logger", "type": "Any"}, {"lineNumber": 178, "col_offset": 14, "nodeName": "data", "type": "Any"}, {"lineNumber": 182, "col_offset": 22, "nodeName": "FIFF", "type": "Any"}, {"lineNumber": 196, "col_offset": 34, "nodeName": "np", "type": "module"}, {"lineNumber": 198, "col_offset": 10, "nodeName": "np", "type": "module"}, {"lineNumber": 198, "col_offset": 32, "nodeName": "complex", "type": "Any"}, {"lineNumber": 201, "col_offset": 22, "nodeName": "sel", "type": "Any"}, {"lineNumber": 204, "col_offset": 20, "nodeName": "dot", "type": "Any"}, {"lineNumber": 204, "col_offset": 27, "nodeName": "Vh", "type": "Any"}, {"lineNumber": 204, "col_offset": 31, "nodeName": "epoch", "type": "Any"}, {"lineNumber": 207, "col_offset": 17, "nodeName": "epoch", "type": "Any"}, {"lineNumber": 207, "col_offset": 36, "nodeName": "is_free_ori", "type": "bool"}, {"lineNumber": 207, "col_offset": 51, "nodeName": "K", "type": "Any"}, {"lineNumber": 207, "col_offset": 57, "nodeName": "Ws", "type": "Any"}, {"lineNumber": 207, "col_offset": 69, "nodeName": "use_fft", "type": "Any"}, {"lineNumber": 208, "col_offset": 18, "nodeName": "decim", "type": "Any"}, {"lineNumber": 208, "col_offset": 31, "nodeName": "shape", "type": "Tuple[Any, int, Any]"}, {"lineNumber": 208, "col_offset": 47, "nodeName": "with_plv", "type": "Any"}, {"lineNumber": 208, "col_offset": 68, "nodeName": "with_power", "type": "Any"}, {"lineNumber": 220, "col_offset": 34, "nodeName": "np", "type": "module"}, {"lineNumber": 222, "col_offset": 12, "nodeName": "np", "type": "module"}, {"lineNumber": 222, "col_offset": 34, "nodeName": "complex", "type": "Any"}, {"lineNumber": 225, "col_offset": 26, "nodeName": "w", "type": "Any"}, {"lineNumber": 225, "col_offset": 38, "nodeName": "use_fft", "type": "Any"}, {"lineNumber": 225, "col_offset": 53, "nodeName": "decim", "type": "Any"}, {"lineNumber": 226, "col_offset": 15, "nodeName": "np", "type": "module"}, {"lineNumber": 226, "col_offset": 33, "nodeName": "reshape", "type": "Any"}, {"lineNumber": 230, "col_offset": 20, "nodeName": "zeros", "type": "Any"}, {"lineNumber": 232, "col_offset": 16, "nodeName": "np", "type": "module"}, {"lineNumber": 232, "col_offset": 26, "nodeName": "n_sources", "type": "Any"}, {"lineNumber": 232, "col_offset": 37, "nodeName": "n_times", "type": "Any"}, {"lineNumber": 232, "col_offset": 53, "nodeName": "float", "type": "Any"}, {"lineNumber": 235, "col_offset": 18, "nodeName": "dot", "type": "Any"}, {"lineNumber": 235, "col_offset": 25, "nodeName": "K", "type": "Any"}, {"lineNumber": 235, "col_offset": 28, "nodeName": "t", "type": "Any"}, {"lineNumber": 239, "col_offset": 16, "nodeName": "sol_pick_normal", "type": "Any"}, {"lineNumber": 249, "col_offset": 16, "nodeName": "sol", "type": "Any"}, {"lineNumber": 250, "col_offset": 17, "nodeName": "with_power", "type": "Any"}, {"lineNumber": 259, "col_offset": 21, "nodeName": "abs", "type": "Any"}, {"lineNumber": 259, "col_offset": 28, "nodeName": "plv_f", "type": "Any"}, {"lineNumber": 260, "col_offset": 12, "nodeName": "plv_e", "type": "Any"}, {"lineNumber": 294, "col_offset": 23, "nodeName": "data", "type": "Any"}, {"lineNumber": 295, "col_offset": 16, "nodeName": "o", "type": "Any"}, {"lineNumber": 295, "col_offset": 25, "nodeName": "o", "type": "Any"}, {"lineNumber": 295, "col_offset": 30, "nodeName": "out", "type": "Any"}, {"lineNumber": 300, "col_offset": 14, "nodeName": "np", "type": "module"}, {"lineNumber": 397, "col_offset": 27, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 397, "col_offset": 42, "nodeName": "decim", "type": "Any"}, {"lineNumber": 526, "col_offset": 22, "nodeName": "overlap", "type": "float"}, {"lineNumber": 526, "col_offset": 42, "nodeName": "raw", "type": "Any"}, {"lineNumber": 528, "col_offset": 40, "nodeName": "n_fft", "type": "int"}, {"lineNumber": 528, "col_offset": 53, "nodeName": "info", "type": "Any"}, {"lineNumber": 544, "col_offset": 8, "nodeName": "np", "type": "module"}, {"lineNumber": 544, "col_offset": 34, "nodeName": "sensor_data", "type": "Any"}, {"lineNumber": 546, "col_offset": 8, "nodeName": "np", "type": "module"}, {"lineNumber": 546, "col_offset": 34, "nodeName": "source_data", "type": "Any"}, {"lineNumber": 565, "col_offset": 58, "nodeName": "fmin", "type": "Any"}, {"lineNumber": 565, "col_offset": 64, "nodeName": "fmax", "type": "Any"}, {"lineNumber": 573, "col_offset": 9, "nodeName": "np", "type": "module"}, {"lineNumber": 573, "col_offset": 16, "nodeName": "shape", "type": "Any"}, {"lineNumber": 577, "col_offset": 18, "nodeName": "np", "type": "module"}, {"lineNumber": 592, "col_offset": 19, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 592, "col_offset": 23, "nodeName": "events", "type": "Any"}, {"lineNumber": 595, "col_offset": 34, "nodeName": "n_epochs", "type": "int"}, {"lineNumber": 597, "col_offset": 38, "nodeName": "bandwidth", "type": "Any"}, {"lineNumber": 599, "col_offset": 59, "nodeName": "n_tapers", "type": "int"}, {"lineNumber": 599, "col_offset": 69, "nodeName": "bandwidth", "type": "Any"}, {"lineNumber": 600, "col_offset": 33, "nodeName": "bandwidth", "type": "str"}, {"lineNumber": 600, "col_offset": 44, "nodeName": "extra", "type": "str"}, {"lineNumber": 606, "col_offset": 18, "nodeName": "sqrt", "type": "Any"}, {"lineNumber": 606, "col_offset": 26, "nodeName": "eigvals", "type": "Any"}, {"lineNumber": 613, "col_offset": 15, "nodeName": "np", "type": "module"}, {"lineNumber": 613, "col_offset": 26, "nodeName": "e", "type": "Any"}, {"lineNumber": 620, "col_offset": 20, "nodeName": "mean", "type": "Any"}, {"lineNumber": 621, "col_offset": 12, "nodeName": "evoked_info", "type": "Any"}, {"lineNumber": 621, "col_offset": 40, "nodeName": "fstep", "type": "Any"}, {"lineNumber": 622, "col_offset": 22, "nodeName": "freq_mask", "type": "Any"}, {"lineNumber": 625, "col_offset": 22, "nodeName": "np", "type": "module"}, {"lineNumber": 626, "col_offset": 54, "nodeName": "dtype", "type": "Any"}, {"lineNumber": 628, "col_offset": 12, "nodeName": "x_mt_sensor", "type": "Any"}, {"lineNumber": 628, "col_offset": 35, "nodeName": "dot", "type": "Any"}, {"lineNumber": 628, "col_offset": 42, "nodeName": "T", "type": "Any"}, {"lineNumber": 630, "col_offset": 18, "nodeName": "parallel", "type": "Any"}, {"lineNumber": 634, "col_offset": 25, "nodeName": "concatenate", "type": "Any"}, {"lineNumber": 634, "col_offset": 40, "nodeName": "out", "type": "Any"}, {"lineNumber": 636, "col_offset": 26, "nodeName": "x_mt_sensor", "type": "Any"}, {"lineNumber": 637, "col_offset": 25, "nodeName": "_psd_from_mt", "type": "Any"}, {"lineNumber": 637, "col_offset": 38, "nodeName": "x_mt_sensor", "type": "Any"}, {"lineNumber": 637, "col_offset": 51, "nodeName": "weights", "type": "Any"}, {"lineNumber": 640, "col_offset": 14, "nodeName": "np", "type": "module"}, {"lineNumber": 648, "col_offset": 23, "nodeName": "empty", "type": "Any"}, {"lineNumber": 652, "col_offset": 21, "nodeName": "range", "type": "Callable[..., List[int]]"}, {"lineNumber": 652, "col_offset": 27, "nodeName": "n_tapers", "type": "int"}, {"lineNumber": 661, "col_offset": 16, "nodeName": "this_psd", "type": "Any"}, {"lineNumber": 663, "col_offset": 16, "nodeName": "x_mt_src", "type": "Any"}, {"lineNumber": 664, "col_offset": 16, "nodeName": "this_psd", "type": "Any"}, {"lineNumber": 666, "col_offset": 12, "nodeName": "psd", "type": "Any"}, {"lineNumber": 667, "col_offset": 19, "nodeName": "shape", "type": "Any"}, {"lineNumber": 670, "col_offset": 27, "nodeName": "pick_ori", "type": "Any"}, {"lineNumber": 671, "col_offset": 18, "nodeName": "combine_xyz", "type": "Any"}, {"lineNumber": 671, "col_offset": 30, "nodeName": "psd", "type": "Any"}, {"lineNumber": 674, "col_offset": 19, "nodeName": "noise_norm", "type": "Any"}, {"lineNumber": 676, "col_offset": 50, "nodeName": "fstep", "type": "Any"}, {"lineNumber": 676, "col_offset": 66, "nodeName": "vertno", "type": "Any"}, {"lineNumber": 677, "col_offset": 32, "nodeName": "subject", "type": "Any"}, {"lineNumber": 677, "col_offset": 50, "nodeName": "kind", "type": "Any"}, {"lineNumber": 681, "col_offset": 19, "nodeName": "out", "type": "Any"}, {"lineNumber": 785, "col_offset": 12, "nodeName": "append", "type": "Callable"}, {"lineNumber": 785, "col_offset": 24, "nodeName": "stc", "type": "Any"}, {"lineNumber": 54, "col_offset": 15, "nodeName": "rank", "type": "Any"}, {"lineNumber": 56, "col_offset": 61, "nodeName": "rank", "type": "Any"}, {"lineNumber": 142, "col_offset": 32, "nodeName": "_", "type": "Any"}, {"lineNumber": 142, "col_offset": 35, "nodeName": "band", "type": "Any"}, {"lineNumber": 142, "col_offset": 43, "nodeName": "items", "type": "Any"}, {"lineNumber": 156, "col_offset": 21, "nodeName": "k", "type": "int"}, {"lineNumber": 156, "col_offset": 24, "nodeName": "f", "type": "Any"}, {"lineNumber": 156, "col_offset": 29, "nodeName": "enumerate", "type": "Type[enumerate[Any]]"}, {"lineNumber": 156, "col_offset": 39, "nodeName": "freqs", "type": "Any"}, {"lineNumber": 156, "col_offset": 60, "nodeName": "f", "type": "Any"}, {"lineNumber": 162, "col_offset": 31, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 162, "col_offset": 46, "nodeName": "decim", "type": "Any"}, {"lineNumber": 198, "col_offset": 32, "nodeName": "np", "type": "module"}, {"lineNumber": 204, "col_offset": 20, "nodeName": "np", "type": "module"}, {"lineNumber": 222, "col_offset": 34, "nodeName": "np", "type": "module"}, {"lineNumber": 226, "col_offset": 33, "nodeName": "tfr_", "type": "Any"}, {"lineNumber": 226, "col_offset": 46, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 226, "col_offset": 50, "nodeName": "data", "type": "Any"}, {"lineNumber": 230, "col_offset": 20, "nodeName": "np", "type": "module"}, {"lineNumber": 230, "col_offset": 30, "nodeName": "n_sources", "type": "Any"}, {"lineNumber": 230, "col_offset": 41, "nodeName": "n_times", "type": "Any"}, {"lineNumber": 230, "col_offset": 57, "nodeName": "complex", "type": "Any"}, {"lineNumber": 232, "col_offset": 53, "nodeName": "np", "type": "module"}, {"lineNumber": 234, "col_offset": 31, "nodeName": "real", "type": "Any"}, {"lineNumber": 234, "col_offset": 39, "nodeName": "tfr_", "type": "Any"}, {"lineNumber": 234, "col_offset": 46, "nodeName": "imag", "type": "Any"}, {"lineNumber": 234, "col_offset": 54, "nodeName": "tfr_", "type": "Any"}, {"lineNumber": 235, "col_offset": 18, "nodeName": "np", "type": "module"}, {"lineNumber": 239, "col_offset": 34, "nodeName": "sol", "type": "Any"}, {"lineNumber": 242, "col_offset": 19, "nodeName": "k", "type": "int"}, {"lineNumber": 243, "col_offset": 20, "nodeName": "plv_f", "type": "Any"}, {"lineNumber": 243, "col_offset": 29, "nodeName": "sol_pick_normal", "type": "Any"}, {"lineNumber": 245, "col_offset": 20, "nodeName": "plv_f", "type": "Any"}, {"lineNumber": 248, "col_offset": 16, "nodeName": "debug", "type": "Any"}, {"lineNumber": 249, "col_offset": 22, "nodeName": "combine_xyz", "type": "Any"}, {"lineNumber": 249, "col_offset": 34, "nodeName": "sol", "type": "Any"}, {"lineNumber": 251, "col_offset": 16, "nodeName": "sol", "type": "Any"}, {"lineNumber": 251, "col_offset": 23, "nodeName": "sol", "type": "Any"}, {"lineNumber": 255, "col_offset": 17, "nodeName": "f", "type": "int"}, {"lineNumber": 259, "col_offset": 21, "nodeName": "np", "type": "module"}, {"lineNumber": 294, "col_offset": 31, "nodeName": "array_split", "type": "Any"}, {"lineNumber": 294, "col_offset": 46, "nodeName": "epochs_data", "type": "Any"}, {"lineNumber": 294, "col_offset": 59, "nodeName": "n_jobs", "type": "Any"}, {"lineNumber": 299, "col_offset": 18, "nodeName": "o", "type": "Any"}, {"lineNumber": 299, "col_offset": 27, "nodeName": "o", "type": "Any"}, {"lineNumber": 299, "col_offset": 32, "nodeName": "out", "type": "Any"}, {"lineNumber": 306, "col_offset": 17, "nodeName": "ravel", "type": "Any"}, {"lineNumber": 524, "col_offset": 28, "nodeName": "overlap", "type": "float"}, {"lineNumber": 528, "col_offset": 53, "nodeName": "raw", "type": "Any"}, {"lineNumber": 573, "col_offset": 16, "nodeName": "K", "type": "Any"}, {"lineNumber": 592, "col_offset": 23, "nodeName": "epochs", "type": "Any"}, {"lineNumber": 593, "col_offset": 42, "nodeName": "n_epochs", "type": "int"}, {"lineNumber": 606, "col_offset": 18, "nodeName": "np", "type": "module"}, {"lineNumber": 606, "col_offset": 35, "nodeName": "newaxis", "type": "Any"}, {"lineNumber": 606, "col_offset": 50, "nodeName": "newaxis", "type": "Any"}, {"lineNumber": 613, "col_offset": 28, "nodeName": "sel", "type": "Any"}, {"lineNumber": 619, "col_offset": 25, "nodeName": "freqs", "type": "Any"}, {"lineNumber": 619, "col_offset": 34, "nodeName": "fmin", "type": "Any"}, {"lineNumber": 619, "col_offset": 43, "nodeName": "freqs", "type": "Any"}, {"lineNumber": 619, "col_offset": 52, "nodeName": "fmax", "type": "Any"}, {"lineNumber": 620, "col_offset": 20, "nodeName": "np", "type": "module"}, {"lineNumber": 620, "col_offset": 28, "nodeName": "diff", "type": "Any"}, {"lineNumber": 620, "col_offset": 36, "nodeName": "freqs", "type": "Any"}, {"lineNumber": 625, "col_offset": 32, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 625, "col_offset": 36, "nodeName": "sel", "type": "Any"}, {"lineNumber": 625, "col_offset": 42, "nodeName": "shape", "type": "Any"}, {"lineNumber": 626, "col_offset": 32, "nodeName": "shape", "type": "Any"}, {"lineNumber": 626, "col_offset": 54, "nodeName": "x_mt", "type": "Any"}, {"lineNumber": 628, "col_offset": 35, "nodeName": "np", "type": "module"}, {"lineNumber": 628, "col_offset": 42, "nodeName": "Vh", "type": "Any"}, {"lineNumber": 628, "col_offset": 48, "nodeName": "x_mt", "type": "Any"}, {"lineNumber": 634, "col_offset": 25, "nodeName": "np", "type": "module"}, {"lineNumber": 640, "col_offset": 24, "nodeName": "shape", "type": "Any"}, {"lineNumber": 640, "col_offset": 36, "nodeName": "sum", "type": "Any"}, {"lineNumber": 640, "col_offset": 43, "nodeName": "freq_mask", "type": "Any"}, {"lineNumber": 648, "col_offset": 23, "nodeName": "np", "type": "module"}, {"lineNumber": 649, "col_offset": 55, "nodeName": "dtype", "type": "Any"}, {"lineNumber": 653, "col_offset": 16, "nodeName": "x_mt_src", "type": "Any"}, {"lineNumber": 653, "col_offset": 36, "nodeName": "dot", "type": "Any"}, {"lineNumber": 653, "col_offset": 43, "nodeName": "K_part", "type": "Any"}, {"lineNumber": 657, "col_offset": 22, "nodeName": "parallel", "type": "Any"}, {"lineNumber": 661, "col_offset": 27, "nodeName": "concatenate", "type": "Any"}, {"lineNumber": 661, "col_offset": 42, "nodeName": "out", "type": "Any"}, {"lineNumber": 663, "col_offset": 27, "nodeName": "x_mt_src", "type": "Any"}, {"lineNumber": 664, "col_offset": 27, "nodeName": "_psd_from_mt", "type": "Any"}, {"lineNumber": 664, "col_offset": 40, "nodeName": "x_mt_src", "type": "Any"}, {"lineNumber": 664, "col_offset": 50, "nodeName": "weights", "type": "Any"}, {"lineNumber": 667, "col_offset": 19, "nodeName": "K_part", "type": "Any"}, {"lineNumber": 676, "col_offset": 34, "nodeName": "freqs", "type": "Any"}, {"lineNumber": 680, "col_offset": 40, "nodeName": "k", "type": "int"}, {"lineNumber": 681, "col_offset": 24, "nodeName": "EvokedArray", "type": "Any"}, {"lineNumber": 681, "col_offset": 36, "nodeName": "sensor_psd", "type": "Any"}, {"lineNumber": 682, "col_offset": 36, "nodeName": "comment", "type": "str"}, {"lineNumber": 682, "col_offset": 45, "nodeName": "nave", "type": "Any"}, {"lineNumber": 785, "col_offset": 12, "nodeName": "stcs", "type": "List[Any]"}, {"lineNumber": 53, "col_offset": 33, "nodeName": "s", "type": "Any"}, {"lineNumber": 54, "col_offset": 29, "nodeName": "rank", "type": "Any"}, {"lineNumber": 56, "col_offset": 53, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 56, "col_offset": 57, "nodeName": "s", "type": "Any"}, {"lineNumber": 142, "col_offset": 43, "nodeName": "bands", "type": "Any"}, {"lineNumber": 156, "col_offset": 49, "nodeName": "band", "type": "Any"}, {"lineNumber": 156, "col_offset": 65, "nodeName": "band", "type": "Any"}, {"lineNumber": 159, "col_offset": 34, "nodeName": "idx", "type": "List[int]"}, {"lineNumber": 168, "col_offset": 50, "nodeName": "inverse_operator", "type": "Any"}, {"lineNumber": 178, "col_offset": 27, "nodeName": "decim", "type": "Any"}, {"lineNumber": 230, "col_offset": 57, "nodeName": "np", "type": "module"}, {"lineNumber": 234, "col_offset": 31, "nodeName": "np", "type": "module"}, {"lineNumber": 234, "col_offset": 46, "nodeName": "np", "type": "module"}, {"lineNumber": 245, "col_offset": 34, "nodeName": "sol_pick_normal", "type": "Any"}, {"lineNumber": 248, "col_offset": 16, "nodeName": "logger", "type": "Any"}, {"lineNumber": 249, "col_offset": 46, "nodeName": "with_power", "type": "Any"}, {"lineNumber": 260, "col_offset": 21, "nodeName": "f", "type": "int"}, {"lineNumber": 294, "col_offset": 31, "nodeName": "np", "type": "module"}, {"lineNumber": 306, "col_offset": 17, "nodeName": "noise_norm", "type": "Any"}, {"lineNumber": 606, "col_offset": 35, "nodeName": "np", "type": "module"}, {"lineNumber": 606, "col_offset": 50, "nodeName": "np", "type": "module"}, {"lineNumber": 620, "col_offset": 28, "nodeName": "np", "type": "module"}, {"lineNumber": 625, "col_offset": 42, "nodeName": "x_mt", "type": "Any"}, {"lineNumber": 626, "col_offset": 32, "nodeName": "x_mt", "type": "Any"}, {"lineNumber": 628, "col_offset": 27, "nodeName": "i", "type": "int"}, {"lineNumber": 631, "col_offset": 31, "nodeName": "x", "type": "Any"}, {"lineNumber": 636, "col_offset": 44, "nodeName": "freq_mask", "type": "Any"}, {"lineNumber": 640, "col_offset": 24, "nodeName": "K", "type": "Any"}, {"lineNumber": 640, "col_offset": 36, "nodeName": "np", "type": "module"}, {"lineNumber": 648, "col_offset": 33, "nodeName": "shape", "type": "Any"}, {"lineNumber": 648, "col_offset": 50, "nodeName": "shape", "type": "Any"}, {"lineNumber": 649, "col_offset": 33, "nodeName": "shape", "type": "Any"}, {"lineNumber": 649, "col_offset": 55, "nodeName": "x_mt", "type": "Any"}, {"lineNumber": 653, "col_offset": 36, "nodeName": "np", "type": "module"}, {"lineNumber": 653, "col_offset": 51, "nodeName": "x_mt", "type": "Any"}, {"lineNumber": 661, "col_offset": 27, "nodeName": "np", "type": "module"}, {"lineNumber": 666, "col_offset": 16, "nodeName": "pos", "type": "int"}, {"lineNumber": 677, "col_offset": 50, "nodeName": "inverse_operator", "type": "Any"}, {"lineNumber": 681, "col_offset": 48, "nodeName": "copy", "type": "Any"}, {"lineNumber": 681, "col_offset": 68, "nodeName": "freqs", "type": "Any"}, {"lineNumber": 628, "col_offset": 56, "nodeName": "i", "type": "int"}, {"lineNumber": 631, "col_offset": 36, "nodeName": "array_split", "type": "Any"}, {"lineNumber": 631, "col_offset": 51, "nodeName": "x_mt_sensor", "type": "Any"}, {"lineNumber": 648, "col_offset": 33, "nodeName": "K_part", "type": "Any"}, {"lineNumber": 648, "col_offset": 50, "nodeName": "x_mt", "type": "Any"}, {"lineNumber": 649, "col_offset": 33, "nodeName": "x_mt", "type": "Any"}, {"lineNumber": 653, "col_offset": 28, "nodeName": "i", "type": "int"}, {"lineNumber": 658, "col_offset": 35, "nodeName": "x", "type": "Any"}, {"lineNumber": 663, "col_offset": 42, "nodeName": "freq_mask", "type": "Any"}, {"lineNumber": 666, "col_offset": 20, "nodeName": "pos", "type": "int"}, {"lineNumber": 681, "col_offset": 48, "nodeName": "evoked_info", "type": "Any"}, {"lineNumber": 631, "col_offset": 36, "nodeName": "np", "type": "module"}, {"lineNumber": 632, "col_offset": 51, "nodeName": "min", "type": "Callable"}, {"lineNumber": 632, "col_offset": 55, "nodeName": "n_jobs", "type": "Any"}, {"lineNumber": 653, "col_offset": 59, "nodeName": "i", "type": "int"}, {"lineNumber": 658, "col_offset": 40, "nodeName": "array_split", "type": "Any"}, {"lineNumber": 658, "col_offset": 55, "nodeName": "x_mt_src", "type": "Any"}, {"lineNumber": 666, "col_offset": 26, "nodeName": "shape", "type": "Any"}, {"lineNumber": 633, "col_offset": 55, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 633, "col_offset": 59, "nodeName": "x_mt_sensor", "type": "Any"}, {"lineNumber": 658, "col_offset": 40, "nodeName": "np", "type": "module"}, {"lineNumber": 659, "col_offset": 55, "nodeName": "min", "type": "Callable"}, {"lineNumber": 659, "col_offset": 59, "nodeName": "n_jobs", "type": "Any"}, {"lineNumber": 666, "col_offset": 26, "nodeName": "K_part", "type": "Any"}, {"lineNumber": 660, "col_offset": 59, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 660, "col_offset": 63, "nodeName": "x_mt_src", "type": "Any"}] |
[{"title":"Hello World","url":"/2020/04/05/hello-world/"},{"title":"tools list","url":"/2020/04/20/tools-list/"},{"title":"testPhoto","url":"/2020/04/04/testPhoto/"},{"title":"日常学习遇到的问题","url":"/2020/06/18/dailyFun/StudyDaily/"},{"title":"数据结构--AVL和红黑树","url":"/2020/04/30/dataStructure/AVLand红黑树/"},{"title":"博客图片无法显示","url":"/2020/04/30/dailyFun/error/"},{"title":"数据结构--graph","url":"/2020/04/30/dataStructure/graph/"},{"title":"数据结构--B+树","url":"/2020/05/10/dataStructure/B+树/"},{"title":"network-internet","url":"/2020/04/23/internet/chapterOne计算机网络和因特网/"},{"title":"network-TCP,UDP","url":"/2020/04/23/internet/chapterThree运输层/"},{"title":"network-web","url":"/2020/04/23/internet/chapterTwo应用层/"},{"title":"nio","url":"/2020/04/23/java/NIO/"},{"title":"singleton","url":"/2020/04/30/java/singleton/"},{"title":"linux学习遇到的问题","url":"/2020/06/18/linux/linuxDaily/"},{"title":"linux学习笔记","url":"/2020/04/21/linux/linuxStudy/"},{"title":"linux软件安装","url":"/2020/06/18/linux/linuxSoftWare/"},{"title":"hexo的博客搭建记录","url":"/2020/04/06/dailyFun/hexonext搭建博客/"},{"title":"Typora+PicGo+github写Markdown文档","url":"/2020/04/06/dailyFun/TyporeANDPicGo/"},{"title":"JDBC","url":"/2020/05/10/java/DB/JDBC/"},{"title":"并发容器框架","url":"/2020/05/03/java/concurrent/Executor框架/"},{"title":"leecode - 877鸡蛋掉落问题","url":"/2020/04/05/code/leecode/eggs877/"},{"title":"synchonized锁升级","url":"/2020/04/30/java/concurrent/synchonized锁/"},{"title":"STL","url":"/2020/05/13/java/STL/容器/"},{"title":"并发","url":"/2020/04/30/java/concurrent/concurrent/"},{"title":"JVM--垃圾回收","url":"/2020/04/05/java/jvm/GC/"},{"title":"JVM--类加载机制","url":"/2020/04/05/java/jvm/ClassLoader/"},{"title":"线程","url":"/2020/04/30/java/concurrent/thread/"},{"title":"JVM--类文件结构","url":"/2020/04/05/java/jvm/类文件结构/"},{"title":"JVM--字节码执行引擎","url":"/2020/04/06/java/jvm/运行时区域与调用/"},{"title":"JVM--内存区域与溢出异常","url":"/2020/04/05/java/jvm/对象的内存区域/"},{"title":"lock","url":"/2020/05/01/java/concurrent/lockAqs/"},{"title":"Concurrent--锁--AQS","url":"/2020/07/03/java/concurrent/lock/AQS/"},{"title":"Concurrent--锁--ReentrantLock","url":"/2020/07/03/java/concurrent/lock/reentranLock/"},{"title":"Executor框架--ThreadPoolExecutor","url":"/2020/07/03/java/concurrent/Executor/ThreadPoolExecutor/"},{"title":"Executor框架","url":"/2020/07/03/java/concurrent/Executor/Exrcutor框架/"},{"title":"Concurrent--锁--Condition","url":"/2020/07/03/java/concurrent/lock/Condition/"},{"title":"Executor框架--FutureTask","url":"/2020/07/03/java/concurrent/Executor/FutureTask/"},{"title":"concurrent--内存模型","url":"/2020/04/30/java/concurrent/lock/内存模型/"}] |
[
{
"author_association" : "CONTRIBUTOR",
"body" : "<!--e57a25ab6845829454e8d69fc972939a-->\n\nThe following sections might be updated with supplementary metadata relevant to reviewers and maintainers.\n\n<!--174a7506f384e20aa4161008e828411d-->\n### Conflicts\nReviewers, this pull request conflicts with the following ones:\n\n* [#23123](https://github.com/bitcoin/bitcoin/pull/23123) (Remove `-rescan` startup parameter by meshcollider)\n* [#22805](https://github.com/bitcoin/bitcoin/pull/22805) (refactor: use CWallet const shared pointers in dump{privkey,wallet} by theStack)\n* [#22787](https://github.com/bitcoin/bitcoin/pull/22787) (refactor: actual immutable pointing by kallewoof)\n* [#22372](https://github.com/bitcoin/bitcoin/pull/22372) (Support multiple -*notify commands by luke-jr)\n* [#22260](https://github.com/bitcoin/bitcoin/pull/22260) (Make bech32m the default, except where needed. Update GUI checkbox. by Sjors)\n* [#15719](https://github.com/bitcoin/bitcoin/pull/15719) (Wallet passive startup by ryanofsky)\n\nIf you consider this pull request important, please also help to review the conflicting pull requests. Ideally, start with the one that should be merged first.",
"created_at" : "2021-09-09T12:51:47Z",
"html_url" : "https://github.com/bitcoin/bitcoin/pull/22928#issuecomment-916062994",
"id" : 916062994,
"issue_url" : "https://api.github.com/repos/bitcoin/bitcoin/issues/22928",
"node_id" : "IC_kwDOABII5842mgMS",
"performed_via_github_app" : null,
"reactions" : {
"+1" : 0,
"-1" : 0,
"confused" : 0,
"eyes" : 0,
"heart" : 0,
"hooray" : 0,
"laugh" : 0,
"rocket" : 0,
"total_count" : 0,
"url" : "https://api.github.com/repos/bitcoin/bitcoin/issues/comments/916062994/reactions"
},
"updated_at" : "2021-09-29T20:37:25Z",
"url" : "https://api.github.com/repos/bitcoin/bitcoin/issues/comments/916062994",
"user" : {
"avatar_url" : "https://avatars.githubusercontent.com/u/39886733?v=4",
"events_url" : "https://api.github.com/users/DrahtBot/events{/privacy}",
"followers_url" : "https://api.github.com/users/DrahtBot/followers",
"following_url" : "https://api.github.com/users/DrahtBot/following{/other_user}",
"gists_url" : "https://api.github.com/users/DrahtBot/gists{/gist_id}",
"gravatar_id" : "",
"html_url" : "https://github.com/DrahtBot",
"id" : 39886733,
"login" : "DrahtBot",
"node_id" : "MDQ6VXNlcjM5ODg2NzMz",
"organizations_url" : "https://api.github.com/users/DrahtBot/orgs",
"received_events_url" : "https://api.github.com/users/DrahtBot/received_events",
"repos_url" : "https://api.github.com/users/DrahtBot/repos",
"site_admin" : false,
"starred_url" : "https://api.github.com/users/DrahtBot/starred{/owner}{/repo}",
"subscriptions_url" : "https://api.github.com/users/DrahtBot/subscriptions",
"type" : "User",
"url" : "https://api.github.com/users/DrahtBot"
}
},
{
"_links" : {
"html" : {
"href" : "https://github.com/bitcoin/bitcoin/pull/22928#discussion_r709323884"
},
"pull_request" : {
"href" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/22928"
},
"self" : {
"href" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/comments/709323884"
}
},
"author_association" : "CONTRIBUTOR",
"body" : "In commit \"Remove `gArgs` from `wallet.h` and `wallet.cpp`\" (d7b904551b4ee337a5b02ebddb1d27fd86d21a8f)\r\n\r\nI think it's mistake to be adding `gArgs` references so many places when the goal is to not use `gArgs`. Most of these uses can be replaced by `m_args`. Would suggest the following change:\r\n\r\n- Diff: https://github.com/ryanofsky/bitcoin/compare/review.22928.1..review.22928.1-edit\r\n- Tag: [review.22928.1-edit.1](https://github.com/ryanofsky/bitcoin/commits/review.22928.1-edit.1)\r\n- Commit: bb118a81a51de93a59497638d8f51ee561f60a1f\r\n",
"commit_id" : "d7b904551b4ee337a5b02ebddb1d27fd86d21a8f",
"created_at" : "2021-09-15T15:52:02Z",
"diff_hunk" : "@@ -34,7 +34,7 @@ BOOST_AUTO_TEST_CASE(ismine_standard)\n \n // P2PK compressed\n {\n- CWallet keystore(chain.get(), \"\", CreateDummyWalletDatabase());\n+ CWallet keystore(chain.get(), \"\", gArgs, CreateDummyWalletDatabase());",
"html_url" : "https://github.com/bitcoin/bitcoin/pull/22928#discussion_r709323884",
"id" : 709323884,
"line" : 37,
"node_id" : "PRRC_kwDOABII584qR2xs",
"original_commit_id" : "d7b904551b4ee337a5b02ebddb1d27fd86d21a8f",
"original_line" : 37,
"original_position" : 5,
"original_start_line" : null,
"path" : "src/wallet/test/ismine_tests.cpp",
"position" : 5,
"pull_request_review_id" : 755307256,
"pull_request_url" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/22928",
"side" : "RIGHT",
"start_line" : null,
"start_side" : null,
"updated_at" : "2021-09-15T16:15:26Z",
"url" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/comments/709323884",
"user" : {
"avatar_url" : "https://avatars.githubusercontent.com/u/7133040?v=4",
"events_url" : "https://api.github.com/users/ryanofsky/events{/privacy}",
"followers_url" : "https://api.github.com/users/ryanofsky/followers",
"following_url" : "https://api.github.com/users/ryanofsky/following{/other_user}",
"gists_url" : "https://api.github.com/users/ryanofsky/gists{/gist_id}",
"gravatar_id" : "",
"html_url" : "https://github.com/ryanofsky",
"id" : 7133040,
"login" : "ryanofsky",
"node_id" : "MDQ6VXNlcjcxMzMwNDA=",
"organizations_url" : "https://api.github.com/users/ryanofsky/orgs",
"received_events_url" : "https://api.github.com/users/ryanofsky/received_events",
"repos_url" : "https://api.github.com/users/ryanofsky/repos",
"site_admin" : false,
"starred_url" : "https://api.github.com/users/ryanofsky/starred{/owner}{/repo}",
"subscriptions_url" : "https://api.github.com/users/ryanofsky/subscriptions",
"type" : "User",
"url" : "https://api.github.com/users/ryanofsky"
}
},
{
"_links" : {
"html" : {
"href" : "https://github.com/bitcoin/bitcoin/pull/22928#discussion_r709329492"
},
"pull_request" : {
"href" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/22928"
},
"self" : {
"href" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/comments/709329492"
}
},
"author_association" : "CONTRIBUTOR",
"body" : "In commit \"Remove `gArgs` from `wallet.h` and `wallet.cpp`\" (d7b904551b4ee337a5b02ebddb1d27fd86d21a8f)\r\n\r\n`args` argument is redundant here and should be dropped. Just say `ArgsManager& args = walletInstance->m_args` inside the function.",
"commit_id" : "d7b904551b4ee337a5b02ebddb1d27fd86d21a8f",
"created_at" : "2021-09-15T15:58:34Z",
"diff_hunk" : "@@ -2749,7 +2749,7 @@ std::shared_ptr<CWallet> CWallet::Create(WalletContext& context, const std::stri\n return walletInstance;\n }\n \n-bool CWallet::AttachChain(const std::shared_ptr<CWallet>& walletInstance, interfaces::Chain& chain, bilingual_str& error, std::vector<bilingual_str>& warnings)\n+bool CWallet::AttachChain(const std::shared_ptr<CWallet>& walletInstance, const ArgsManager& args, interfaces::Chain& chain, bilingual_str& error, std::vector<bilingual_str>& warnings)",
"html_url" : "https://github.com/bitcoin/bitcoin/pull/22928#discussion_r709329492",
"id" : 709329492,
"line" : 2752,
"node_id" : "PRRC_kwDOABII584qR4JU",
"original_commit_id" : "d7b904551b4ee337a5b02ebddb1d27fd86d21a8f",
"original_line" : 2752,
"original_position" : 32,
"original_start_line" : null,
"path" : "src/wallet/wallet.cpp",
"position" : 47,
"pull_request_review_id" : 755307256,
"pull_request_url" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/22928",
"side" : "RIGHT",
"start_line" : null,
"start_side" : null,
"updated_at" : "2021-09-15T16:15:26Z",
"url" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/comments/709329492",
"user" : {
"avatar_url" : "https://avatars.githubusercontent.com/u/7133040?v=4",
"events_url" : "https://api.github.com/users/ryanofsky/events{/privacy}",
"followers_url" : "https://api.github.com/users/ryanofsky/followers",
"following_url" : "https://api.github.com/users/ryanofsky/following{/other_user}",
"gists_url" : "https://api.github.com/users/ryanofsky/gists{/gist_id}",
"gravatar_id" : "",
"html_url" : "https://github.com/ryanofsky",
"id" : 7133040,
"login" : "ryanofsky",
"node_id" : "MDQ6VXNlcjcxMzMwNDA=",
"organizations_url" : "https://api.github.com/users/ryanofsky/orgs",
"received_events_url" : "https://api.github.com/users/ryanofsky/received_events",
"repos_url" : "https://api.github.com/users/ryanofsky/repos",
"site_admin" : false,
"starred_url" : "https://api.github.com/users/ryanofsky/starred{/owner}{/repo}",
"subscriptions_url" : "https://api.github.com/users/ryanofsky/subscriptions",
"type" : "User",
"url" : "https://api.github.com/users/ryanofsky"
}
},
{
"_links" : {
"html" : {
"href" : "https://github.com/bitcoin/bitcoin/pull/22928#discussion_r709356532"
},
"pull_request" : {
"href" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/22928"
},
"self" : {
"href" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/comments/709356532"
}
},
"author_association" : "CONTRIBUTOR",
"body" : "Thank you for the feedback! My approach overall is to progress from the bottom up. I find the way I did it here very conservative so that we are sure that nothing breaks. You are right that `m_args` can be used here, I wanted to do that later but if you find it better use `m_args` right away, then great.",
"commit_id" : "d7b904551b4ee337a5b02ebddb1d27fd86d21a8f",
"created_at" : "2021-09-15T16:32:17Z",
"diff_hunk" : "@@ -34,7 +34,7 @@ BOOST_AUTO_TEST_CASE(ismine_standard)\n \n // P2PK compressed\n {\n- CWallet keystore(chain.get(), \"\", CreateDummyWalletDatabase());\n+ CWallet keystore(chain.get(), \"\", gArgs, CreateDummyWalletDatabase());",
"html_url" : "https://github.com/bitcoin/bitcoin/pull/22928#discussion_r709356532",
"id" : 709356532,
"in_reply_to_id" : 709323884,
"line" : 37,
"node_id" : "PRRC_kwDOABII584qR-v0",
"original_commit_id" : "d7b904551b4ee337a5b02ebddb1d27fd86d21a8f",
"original_line" : 37,
"original_position" : 5,
"original_start_line" : null,
"path" : "src/wallet/test/ismine_tests.cpp",
"position" : 5,
"pull_request_review_id" : 755351318,
"pull_request_url" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/22928",
"side" : "RIGHT",
"start_line" : null,
"start_side" : null,
"updated_at" : "2021-09-15T16:32:17Z",
"url" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/comments/709356532",
"user" : {
"avatar_url" : "https://avatars.githubusercontent.com/u/58662979?v=4",
"events_url" : "https://api.github.com/users/kiminuo/events{/privacy}",
"followers_url" : "https://api.github.com/users/kiminuo/followers",
"following_url" : "https://api.github.com/users/kiminuo/following{/other_user}",
"gists_url" : "https://api.github.com/users/kiminuo/gists{/gist_id}",
"gravatar_id" : "",
"html_url" : "https://github.com/kiminuo",
"id" : 58662979,
"login" : "kiminuo",
"node_id" : "MDQ6VXNlcjU4NjYyOTc5",
"organizations_url" : "https://api.github.com/users/kiminuo/orgs",
"received_events_url" : "https://api.github.com/users/kiminuo/received_events",
"repos_url" : "https://api.github.com/users/kiminuo/repos",
"site_admin" : false,
"starred_url" : "https://api.github.com/users/kiminuo/starred{/owner}{/repo}",
"subscriptions_url" : "https://api.github.com/users/kiminuo/subscriptions",
"type" : "User",
"url" : "https://api.github.com/users/kiminuo"
}
},
{
"_links" : {
"html" : {
"href" : "https://github.com/bitcoin/bitcoin/pull/22928#discussion_r709366609"
},
"pull_request" : {
"href" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/22928"
},
"self" : {
"href" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/comments/709366609"
}
},
"author_association" : "CONTRIBUTOR",
"body" : "Thanks! Normally I'd agree with being incremental and conservative, but if it is important to do this transition away from gArgs I think it is also important to try to make transition painless as possible to reviewers, and to other PR authors working on conflicting PRs by avoiding changing the same code multiple times in multiple PRs.\r\n\r\nMaybe changing the same code in different PRs makes sense if one change is a bulk change and the second change is a manual change. But if two changes are both bulk changes, then splitting into conservative and non-conservative PRs just delays the inevitable non-conservative part of the change and prolongs the transition for no benefit. Also, these are changes to test code so there is basically no need to be conservative because it will be obvious if the tests are broken.",
"commit_id" : "d7b904551b4ee337a5b02ebddb1d27fd86d21a8f",
"created_at" : "2021-09-15T16:45:24Z",
"diff_hunk" : "@@ -34,7 +34,7 @@ BOOST_AUTO_TEST_CASE(ismine_standard)\n \n // P2PK compressed\n {\n- CWallet keystore(chain.get(), \"\", CreateDummyWalletDatabase());\n+ CWallet keystore(chain.get(), \"\", gArgs, CreateDummyWalletDatabase());",
"html_url" : "https://github.com/bitcoin/bitcoin/pull/22928#discussion_r709366609",
"id" : 709366609,
"in_reply_to_id" : 709323884,
"line" : 37,
"node_id" : "PRRC_kwDOABII584qSBNR",
"original_commit_id" : "d7b904551b4ee337a5b02ebddb1d27fd86d21a8f",
"original_line" : 37,
"original_position" : 5,
"original_start_line" : null,
"path" : "src/wallet/test/ismine_tests.cpp",
"position" : 5,
"pull_request_review_id" : 755364352,
"pull_request_url" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/22928",
"side" : "RIGHT",
"start_line" : null,
"start_side" : null,
"updated_at" : "2021-09-15T16:45:25Z",
"url" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/comments/709366609",
"user" : {
"avatar_url" : "https://avatars.githubusercontent.com/u/7133040?v=4",
"events_url" : "https://api.github.com/users/ryanofsky/events{/privacy}",
"followers_url" : "https://api.github.com/users/ryanofsky/followers",
"following_url" : "https://api.github.com/users/ryanofsky/following{/other_user}",
"gists_url" : "https://api.github.com/users/ryanofsky/gists{/gist_id}",
"gravatar_id" : "",
"html_url" : "https://github.com/ryanofsky",
"id" : 7133040,
"login" : "ryanofsky",
"node_id" : "MDQ6VXNlcjcxMzMwNDA=",
"organizations_url" : "https://api.github.com/users/ryanofsky/orgs",
"received_events_url" : "https://api.github.com/users/ryanofsky/received_events",
"repos_url" : "https://api.github.com/users/ryanofsky/repos",
"site_admin" : false,
"starred_url" : "https://api.github.com/users/ryanofsky/starred{/owner}{/repo}",
"subscriptions_url" : "https://api.github.com/users/ryanofsky/subscriptions",
"type" : "User",
"url" : "https://api.github.com/users/ryanofsky"
}
},
{
"_links" : {
"html" : {
"href" : "https://github.com/bitcoin/bitcoin/pull/22928#discussion_r709371350"
},
"pull_request" : {
"href" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/22928"
},
"self" : {
"href" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/comments/709371350"
}
},
"author_association" : "CONTRIBUTOR",
"body" : "In general it would be great to be to see a consolidated final PR with all the future changes in one place. Or if that is too much work, it would be good to have a roadmap describing what the future changes will be. At very least if a PR has changes that are known to be temporary, it would be good to identify which parts of the PR are temporary, and which parts are permanent in the PR description.",
"commit_id" : "d7b904551b4ee337a5b02ebddb1d27fd86d21a8f",
"created_at" : "2021-09-15T16:51:34Z",
"diff_hunk" : "@@ -34,7 +34,7 @@ BOOST_AUTO_TEST_CASE(ismine_standard)\n \n // P2PK compressed\n {\n- CWallet keystore(chain.get(), \"\", CreateDummyWalletDatabase());\n+ CWallet keystore(chain.get(), \"\", gArgs, CreateDummyWalletDatabase());",
"html_url" : "https://github.com/bitcoin/bitcoin/pull/22928#discussion_r709371350",
"id" : 709371350,
"in_reply_to_id" : 709323884,
"line" : 37,
"node_id" : "PRRC_kwDOABII584qSCXW",
"original_commit_id" : "d7b904551b4ee337a5b02ebddb1d27fd86d21a8f",
"original_line" : 37,
"original_position" : 5,
"original_start_line" : null,
"path" : "src/wallet/test/ismine_tests.cpp",
"position" : 5,
"pull_request_review_id" : 755370262,
"pull_request_url" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/22928",
"side" : "RIGHT",
"start_line" : null,
"start_side" : null,
"updated_at" : "2021-09-15T16:51:34Z",
"url" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/comments/709371350",
"user" : {
"avatar_url" : "https://avatars.githubusercontent.com/u/7133040?v=4",
"events_url" : "https://api.github.com/users/ryanofsky/events{/privacy}",
"followers_url" : "https://api.github.com/users/ryanofsky/followers",
"following_url" : "https://api.github.com/users/ryanofsky/following{/other_user}",
"gists_url" : "https://api.github.com/users/ryanofsky/gists{/gist_id}",
"gravatar_id" : "",
"html_url" : "https://github.com/ryanofsky",
"id" : 7133040,
"login" : "ryanofsky",
"node_id" : "MDQ6VXNlcjcxMzMwNDA=",
"organizations_url" : "https://api.github.com/users/ryanofsky/orgs",
"received_events_url" : "https://api.github.com/users/ryanofsky/received_events",
"repos_url" : "https://api.github.com/users/ryanofsky/repos",
"site_admin" : false,
"starred_url" : "https://api.github.com/users/ryanofsky/starred{/owner}{/repo}",
"subscriptions_url" : "https://api.github.com/users/ryanofsky/subscriptions",
"type" : "User",
"url" : "https://api.github.com/users/ryanofsky"
}
},
{
"author_association" : "CONTRIBUTOR",
"body" : "> Also it would be good if PR description linked to issue #21005 as the true motivation for this PR, instead of saying that I suggested this. I think the current description which says the PR \"follows the suggestion by ryanofsky\" is a misleading, even though it is technically true, because I don't have any opinion on whether `gArgs` should be removed from wallet code, and I didn't suggest doing that. My suggestions have only been about how to pass `ArgsManager` references if you did decide it was important to get rid of `gArgs`.\r\n\r\nSorry for putting words to your mouth ð ",
"created_at" : "2021-09-15T18:33:44Z",
"html_url" : "https://github.com/bitcoin/bitcoin/pull/22928#issuecomment-920276140",
"id" : 920276140,
"issue_url" : "https://api.github.com/repos/bitcoin/bitcoin/issues/22928",
"node_id" : "IC_kwDOABII58422kys",
"performed_via_github_app" : null,
"updated_at" : "2021-09-15T18:33:44Z",
"url" : "https://api.github.com/repos/bitcoin/bitcoin/issues/comments/920276140",
"user" : {
"avatar_url" : "https://avatars.githubusercontent.com/u/58662979?v=4",
"events_url" : "https://api.github.com/users/kiminuo/events{/privacy}",
"followers_url" : "https://api.github.com/users/kiminuo/followers",
"following_url" : "https://api.github.com/users/kiminuo/following{/other_user}",
"gists_url" : "https://api.github.com/users/kiminuo/gists{/gist_id}",
"gravatar_id" : "",
"html_url" : "https://github.com/kiminuo",
"id" : 58662979,
"login" : "kiminuo",
"node_id" : "MDQ6VXNlcjU4NjYyOTc5",
"organizations_url" : "https://api.github.com/users/kiminuo/orgs",
"received_events_url" : "https://api.github.com/users/kiminuo/received_events",
"repos_url" : "https://api.github.com/users/kiminuo/repos",
"site_admin" : false,
"starred_url" : "https://api.github.com/users/kiminuo/starred{/owner}{/repo}",
"subscriptions_url" : "https://api.github.com/users/kiminuo/subscriptions",
"type" : "User",
"url" : "https://api.github.com/users/kiminuo"
}
},
{
"_links" : {
"html" : {
"href" : "https://github.com/bitcoin/bitcoin/pull/22928#discussion_r709548914"
},
"pull_request" : {
"href" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/22928"
},
"self" : {
"href" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/comments/709548914"
}
},
"author_association" : "CONTRIBUTOR",
"body" : "You are right. Thanks.",
"commit_id" : "8762663a31727d7fce578dff6c3a02307b59a967",
"created_at" : "2021-09-15T20:29:07Z",
"diff_hunk" : "@@ -2749,7 +2749,7 @@ std::shared_ptr<CWallet> CWallet::Create(WalletContext& context, const std::stri\n return walletInstance;\n }\n \n-bool CWallet::AttachChain(const std::shared_ptr<CWallet>& walletInstance, interfaces::Chain& chain, bilingual_str& error, std::vector<bilingual_str>& warnings)\n+bool CWallet::AttachChain(const std::shared_ptr<CWallet>& walletInstance, const ArgsManager& args, interfaces::Chain& chain, bilingual_str& error, std::vector<bilingual_str>& warnings)",
"html_url" : "https://github.com/bitcoin/bitcoin/pull/22928#discussion_r709548914",
"id" : 709548914,
"in_reply_to_id" : 709329492,
"line" : null,
"node_id" : "PRRC_kwDOABII584qStty",
"original_commit_id" : "d7b904551b4ee337a5b02ebddb1d27fd86d21a8f",
"original_line" : 2752,
"original_position" : 32,
"original_start_line" : null,
"path" : "src/wallet/wallet.cpp",
"position" : null,
"pull_request_review_id" : 755590598,
"pull_request_url" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/22928",
"side" : "RIGHT",
"start_line" : null,
"start_side" : null,
"updated_at" : "2021-09-15T20:29:07Z",
"url" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/comments/709548914",
"user" : {
"avatar_url" : "https://avatars.githubusercontent.com/u/58662979?v=4",
"events_url" : "https://api.github.com/users/kiminuo/events{/privacy}",
"followers_url" : "https://api.github.com/users/kiminuo/followers",
"following_url" : "https://api.github.com/users/kiminuo/following{/other_user}",
"gists_url" : "https://api.github.com/users/kiminuo/gists{/gist_id}",
"gravatar_id" : "",
"html_url" : "https://github.com/kiminuo",
"id" : 58662979,
"login" : "kiminuo",
"node_id" : "MDQ6VXNlcjU4NjYyOTc5",
"organizations_url" : "https://api.github.com/users/kiminuo/orgs",
"received_events_url" : "https://api.github.com/users/kiminuo/received_events",
"repos_url" : "https://api.github.com/users/kiminuo/repos",
"site_admin" : false,
"starred_url" : "https://api.github.com/users/kiminuo/starred{/owner}{/repo}",
"subscriptions_url" : "https://api.github.com/users/kiminuo/subscriptions",
"type" : "User",
"url" : "https://api.github.com/users/kiminuo"
}
},
{
"_links" : {
"html" : {
"href" : "https://github.com/bitcoin/bitcoin/pull/22928#discussion_r709580543"
},
"pull_request" : {
"href" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/22928"
},
"self" : {
"href" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/comments/709580543"
}
},
"author_association" : "CONTRIBUTOR",
"body" : "Makes sense. I'll see what I can do.",
"commit_id" : "8762663a31727d7fce578dff6c3a02307b59a967",
"created_at" : "2021-09-15T21:16:03Z",
"diff_hunk" : "@@ -34,7 +34,7 @@ BOOST_AUTO_TEST_CASE(ismine_standard)\n \n // P2PK compressed\n {\n- CWallet keystore(chain.get(), \"\", CreateDummyWalletDatabase());\n+ CWallet keystore(chain.get(), \"\", gArgs, CreateDummyWalletDatabase());",
"html_url" : "https://github.com/bitcoin/bitcoin/pull/22928#discussion_r709580543",
"id" : 709580543,
"in_reply_to_id" : 709323884,
"line" : null,
"node_id" : "PRRC_kwDOABII584qS1b_",
"original_commit_id" : "d7b904551b4ee337a5b02ebddb1d27fd86d21a8f",
"original_line" : 37,
"original_position" : 5,
"original_start_line" : null,
"path" : "src/wallet/test/ismine_tests.cpp",
"position" : null,
"pull_request_review_id" : 755630004,
"pull_request_url" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/22928",
"side" : "RIGHT",
"start_line" : null,
"start_side" : null,
"updated_at" : "2021-09-15T21:16:03Z",
"url" : "https://api.github.com/repos/bitcoin/bitcoin/pulls/comments/709580543",
"user" : {
"avatar_url" : "https://avatars.githubusercontent.com/u/58662979?v=4",
"events_url" : "https://api.github.com/users/kiminuo/events{/privacy}",
"followers_url" : "https://api.github.com/users/kiminuo/followers",
"following_url" : "https://api.github.com/users/kiminuo/following{/other_user}",
"gists_url" : "https://api.github.com/users/kiminuo/gists{/gist_id}",
"gravatar_id" : "",
"html_url" : "https://github.com/kiminuo",
"id" : 58662979,
"login" : "kiminuo",
"node_id" : "MDQ6VXNlcjU4NjYyOTc5",
"organizations_url" : "https://api.github.com/users/kiminuo/orgs",
"received_events_url" : "https://api.github.com/users/kiminuo/received_events",
"repos_url" : "https://api.github.com/users/kiminuo/repos",
"site_admin" : false,
"starred_url" : "https://api.github.com/users/kiminuo/starred{/owner}{/repo}",
"subscriptions_url" : "https://api.github.com/users/kiminuo/subscriptions",
"type" : "User",
"url" : "https://api.github.com/users/kiminuo"
}
},
{
"author_association" : "CONTRIBUTOR",
"body" : "<!--cf906140f33d8803c4a75a2196329ecb-->\nð This pull request conflicts with the target branch and [needs rebase](https://github.com/bitcoin/bitcoin/blob/master/CONTRIBUTING.md#rebasing-changes).\n\n<sub>Want to unsubscribe from rebase notifications on this pull request? Just convert this pull request to a \"draft\".</sub>",
"created_at" : "2021-09-30T20:30:29Z",
"html_url" : "https://github.com/bitcoin/bitcoin/pull/22928#issuecomment-931642449",
"id" : 931642449,
"issue_url" : "https://api.github.com/repos/bitcoin/bitcoin/issues/22928",
"node_id" : "IC_kwDOABII5843h7xR",
"performed_via_github_app" : null,
"reactions" : {
"+1" : 0,
"-1" : 0,
"confused" : 0,
"eyes" : 0,
"heart" : 0,
"hooray" : 0,
"laugh" : 0,
"rocket" : 0,
"total_count" : 0,
"url" : "https://api.github.com/repos/bitcoin/bitcoin/issues/comments/931642449/reactions"
},
"updated_at" : "2021-09-30T20:30:29Z",
"url" : "https://api.github.com/repos/bitcoin/bitcoin/issues/comments/931642449",
"user" : {
"avatar_url" : "https://avatars.githubusercontent.com/u/39886733?v=4",
"events_url" : "https://api.github.com/users/DrahtBot/events{/privacy}",
"followers_url" : "https://api.github.com/users/DrahtBot/followers",
"following_url" : "https://api.github.com/users/DrahtBot/following{/other_user}",
"gists_url" : "https://api.github.com/users/DrahtBot/gists{/gist_id}",
"gravatar_id" : "",
"html_url" : "https://github.com/DrahtBot",
"id" : 39886733,
"login" : "DrahtBot",
"node_id" : "MDQ6VXNlcjM5ODg2NzMz",
"organizations_url" : "https://api.github.com/users/DrahtBot/orgs",
"received_events_url" : "https://api.github.com/users/DrahtBot/received_events",
"repos_url" : "https://api.github.com/users/DrahtBot/repos",
"site_admin" : false,
"starred_url" : "https://api.github.com/users/DrahtBot/starred{/owner}{/repo}",
"subscriptions_url" : "https://api.github.com/users/DrahtBot/subscriptions",
"type" : "User",
"url" : "https://api.github.com/users/DrahtBot"
}
}
]
|
{
"patthana8.11:1.1": "sc1, ms40P8_61, msdiv24",
"patthana8.11:2.1": "sc2, ms40P8_62",
"patthana8.11:3.1": "sc3, ms40P8_63",
"patthana8.11:4.1": "sc4, ms40P8_64, msdiv25",
"patthana8.11:5.1": "sc5, ms40P8_65"
} |
{
"Country":[
{
"Name": "India",
"Capital": "Delhi",
"Population": "130,00,00,000",
"Languages" :["Hindi","Telugu"],
"id": 1
},
{
"Name": "UK",
"Capital": "London",
"Population": "6,66,00,00",
"Languages" :["English"],
"id": 2
},
{
"Name": "Australia",
"Capital": "Canberra",
"Population": "2,54,00,000",
"Languages" :["English"],
"id": 3
},
{
"Name": "USA",
"Captital": "Washington DC",
"Population": "32,82,00,00",
"Languages" :["English"],
"id": 4
}
]
}
|
["96a32680782ccd5e4e50fd32b2818011c8d25540"] |
{"id":154323,"date":"2023-04-19T10:35:40.000Z","description":null,"for":243,"against":370,"abstention":26,"plenary":null,"name":"Janusz Lewandowski - Après le § 65 - Am 15","ref":"A9-0124/2023","green_remark":null,"created_by":null,"updated_by":null,"title":"Guidelines for the 2024 Budget - Section III","url":"https://oeil.secure.europarl.europa.eu/oeil//popups/ficheprocedure.do?reference=2022/2184(BUI)&l=en"} |
[
"Cuāxōchtli",
"Ucrantlahtōlli",
"Anexo:Países por superficie",
"Anexo:Países por PIB (PPA) per cápita",
"EET",
"Europan",
"Kyiv",
"Tlācaxōxouhcayōtl",
"1 de diciembre",
"Anexo:Países por PIB (nominal)",
"Matlatzalan axcayotl",
"Anexo:Países por PIB (PPA)",
"Achcauhtlahtolli",
"Huēyi ātēntli",
"Índice de Desarrollo Humano",
"OSCE",
"URSS",
"Tlācatōcāitl",
"CEI",
"Tiempo Coordinado Universal",
"Anexo:Lemas de Estado",
"Tlācatiyān",
"EEST",
"Paridad de poder adquisitivo",
"Tlacetilīlli Tlācatiyān",
"Tēpacholiztli īiuhcāyo",
"Īchīmal Ucrania",
"Anexo:Prefijos telefónicos internacionales",
"Tēcuacān",
"2005",
"24 de agosto",
"Anexo:Países por Índice de Desarrollo Humano",
"Chānehqueh Ucrania",
"Arsenuy Yatsenyuk",
"Anexo:Países por densidad de población",
"Ucrania Tlahtohcātēīxiptla",
"Tlāctlahtohcāyōtl Tlahtohcātēīxiptla",
"Primer ministro",
".ua",
"1991",
"Xōpan cāhuitl",
"Petro Poroshenko",
"Producto Interno Bruto",
"Tomīn",
"Ichanehquiliz tlacatiyan",
"Tlatēcpānalli cemānāhuaccāhuitl",
"Cemonocāyōtl īcemānāhuacāyo",
"Hryvna",
"2006",
"ISO 3166-1",
"ISO 4217",
"Anexo:Prefijos radiofónicos",
"Īpān Ucrania"
] |
{"title":"Adolf Hitler threatens the International Finance Jewry.","uid":5469241,"size":101943779,"categoryP":"video","categoryS":"movie_clips","magnet":"?xt=urn:btih:2f8e2be0e6bb0acb41cbc01367cd7dca1715c86c&dn=Adolf+Hitler+threatens+the+International+Finance+Jewry.&tr=udp%3A%2F%2Ftracker.openbittorrent.com%3A80&tr=udp%3A%2F%2Fopen.demonii.com%3A1337&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Fexodus.desync.com%3A6969","seeders":0,"leechers":1,"uploader":"denisu-","files":-1,"time":1269790209,"description":"Made by: THELINDGRENN\n\nHQ WW2 footage, Adolf Hitler threatens the International Finance Jewry.\n\nFor more historical speeches by Adolf Hitler, please visit: THELINDGRENN","torrent":{"xt":"urn:btih:2f8e2be0e6bb0acb41cbc01367cd7dca1715c86c","amp;dn":"Adolf+Hitler+threatens+the+International+Finance+Jewry.","amp;tr":["udp%3A%2F%2Ftracker.openbittorrent.com%3A80","udp%3A%2F%2Fopen.demonii.com%3A1337","udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969","udp%3A%2F%2Fexodus.desync.com%3A6969"],"infoHash":"2f8e2be0e6bb0acb41cbc01367cd7dca1715c86c","infoHashBuffer":{"type":"Buffer","data":[47,142,43,224,230,187,10,203,65,203,192,19,103,205,125,202,23,21,200,108]},"announce":[],"urlList":[]}} |
{"is_answered": false, "view_count": 21, "tags": ["python", "pandas", "segmentation-fault"], "last_activity_date": 1469722293, "answer_count": 0, "creation_date": 1469722293, "score": 0, "link": "http://stackoverflow.com/questions/38641628/python-pandas-core-dumps", "owner": {"user_id": 53491, "profile_image": "https://www.gravatar.com/avatar/c79083b696c8a63b10dc59b286a24ef6?s=128&d=identicon&r=PG", "user_type": "registered", "reputation": 4665, "link": "http://stackoverflow.com/users/53491/brian-postow", "accept_rate": 58, "display_name": "Brian Postow"}, "title": "Python pandas core dumps", "question_id": 38641628} |
{
"rules": {
"boards": {
".read": "true",
".write": "auth != null",
"$board": {
".validate": "newData.hasChildren(['title', 'slug']) && newData.child('title').isString() && newData.child('slug').isString()",
"lists": {
"$list": {
".validate": "newData.hasChildren(['name', 'slug']) && newData.child('name').isString() && newData.child('slug').isString()"
}
}
}
},
"videos": {
".read": "true",
".write": "auth != null"
}
}
}
|
{
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "object",
"properties": {
"root_dir": {
"description": "Path to the root folder",
"type": "string"
},
"temp_dir": {
"description": "Path to the temporary folder",
"type": "string"
}
},
"required": ["root_dir", "temp_dir"]
}
|
{"geometry":{"type":"Polygon","coordinates":[[[-45.939447,-2.841775],[-45.939429,-2.840674],[-45.937207,-2.840655],[-45.937207,-2.841775],[-45.939447,-2.841775]]]},"id":101978441,"type":"Feature","properties":{"qs:a1r":"*","geom:longitude":-45.938319,"qs:level":"locality0","src:geom_alt":[],"wof:hierarchy":[{"locality_id":101978441,"country_id":85633009,"region_id":85681931,"county_id":102053047}],"iso:country":"BR","wof:geomhash":"c17a9faa9f63eaf3cb7c3dae819fb3bb","qs:a1_lc":"21","qs:a2_lc":"2107357","wof:breaches":[],"wof:name":"Aldeia Ind\u00edgena Capit\u00e3o Mirar","src:geom":"quattroshapes","qs:adm0":"Brazil","wof:supersedes":[],"qs:type":"Local other","qs:loc":"Aldeia Ind\u00edgena Capit\u00e3o Mirar","wof:id":101978441,"qs:pop":0,"geom:area":0.000002,"geom:latitude":-2.841220,"qs:source":"ABrasil IBGE","qs:la_lc":"*","wof:belongsto":[85633009,85681931,102053047],"wof:placetype":"locality","qs:a0":"Brasil","qs:a1":"*MA","qs:a2":"NOVA OLINDA DO MARANHEO","wof:lastmodified":1439488291,"wof:superseded_by":[],"wof:concordances":{"qs:id":9},"wof:parent_id":102053047},"bbox":[-45.939447,-2.841775,-45.937207,-2.840655]} |
{
"files": {
"main.css": "/static/css/main.6dea0f05.chunk.css",
"main.js": "/static/js/main.9f358022.chunk.js",
"main.js.map": "/static/js/main.9f358022.chunk.js.map",
"runtime-main.js": "/static/js/runtime-main.f48c53dd.js",
"runtime-main.js.map": "/static/js/runtime-main.f48c53dd.js.map",
"static/js/2.f4de7234.chunk.js": "/static/js/2.f4de7234.chunk.js",
"static/js/2.f4de7234.chunk.js.map": "/static/js/2.f4de7234.chunk.js.map",
"static/js/3.e4236cdf.chunk.js": "/static/js/3.e4236cdf.chunk.js",
"static/js/3.e4236cdf.chunk.js.map": "/static/js/3.e4236cdf.chunk.js.map",
"index.html": "/index.html",
"static/css/main.6dea0f05.chunk.css.map": "/static/css/main.6dea0f05.chunk.css.map",
"static/js/2.f4de7234.chunk.js.LICENSE.txt": "/static/js/2.f4de7234.chunk.js.LICENSE.txt",
"static/media/logo.31bb2470.png": "/static/media/logo.31bb2470.png"
},
"entrypoints": [
"static/js/runtime-main.f48c53dd.js",
"static/js/2.f4de7234.chunk.js",
"static/css/main.6dea0f05.chunk.css",
"static/js/main.9f358022.chunk.js"
]
} |
{"poster":"Bolsh4ck","date":"2015-07-22T20:41:47.014+0000","title":"Nach dem Einloggen stürzt mein PC immer ab...","subforum":"Hilfe & Support","up_votes":1,"down_votes":0,"body":"Hallo Leute, Ich habe ein Problem...Wie oben im Titel beschrieben stürzt mein PC nach dem Eingeben der Daten immer wieder ab. Der LoL-Client lädt nicht richtig und nach ein paar Sekunden hängt sich mein Computer komplett auf...Ich habe alles versucht. LoL deinstalliert, Datein gelöscht repariert, selbst mein GANZEN PC habe ich zurückgesetzt...Und es klappt immernoch nicht.\r\nDas Problem hat gestern angefangen und ich habe keine Ahnung was ich noch machen soll...schließlich will man ja zocken...\r\nWäre super wenn schnelle Antworten folgen oder Riot was unternehmen kann. (An meinem PC liegt es nicht - alle anderen Spiele wie z.B. CSS, CS:GO, COD, etc...funktionieren einwandfrei!)\r\n\r\nBitte um schnelle Hilfe!","replies":[{"poster":"Luigiigi","date":"2015-07-24T19:40:59.607+0000","up_votes":1,"down_votes":0,"body":"Ich hab genaus das gleiche problem ;(","replies":[]},{"poster":"AmazingMaze","date":"2015-07-22T21:02:12.756+0000","up_votes":1,"down_votes":0,"body":"http://boards.euw.leagueoflegends.com/de/c/hilfe-support-de/4EIgO7uf-computer-friert-nach-log-in-ein","replies":[]},{"poster":"Dymania","date":"2015-07-22T20:46:06.781+0000","up_votes":1,"down_votes":0,"body":"Mein PC hängt sich auch nach der Dateneingabe auf, fängt sich aber nach ner Minute. Gabs bei mir sowohl nach Patch 5.13 und 3.4 glaub. Da kann man dann nur warten.\n\n_> Kommt Zeit, kommt Hotfix_","replies":[]}]} |
{"mean":{"confidence_interval":{"confidence_level":0.95,"lower_bound":20854696.05447619,"upper_bound":21521995.877920635},"point_estimate":21158410.849920634,"standard_error":171481.0518424954},"median":{"confidence_interval":{"confidence_level":0.95,"lower_bound":20789474.033333335,"upper_bound":21463468.260714285},"point_estimate":21062564.223333333,"standard_error":163414.69826491538},"median_abs_dev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":114111.94758077578,"upper_bound":858522.2150115173},"point_estimate":364108.72115244437,"standard_error":193477.96993851944},"slope":{"confidence_interval":{"confidence_level":0.95,"lower_bound":20872709.816748768,"upper_bound":21381488.453079365},"point_estimate":21140187.46077922,"standard_error":128723.49619769833},"std_dev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":226142.07744825663,"upper_bound":784008.7997235811},"point_estimate":569694.0461526681,"standard_error":154593.10732428508}} |
["9d36b8d88e88779b178ae2a87706bfeee7cf4760"] |
{"poster":"Zabivaka","date":"2015-09-17T22:55:25.817+0000","title":"Quiere alguien por favor pensar en corki?","subforum":"Charlas Generales","up_votes":2,"down_votes":4,"body":"Todos estan\r\ndevuelvan a mi riven pls\r\ntraigan a riven de vuelta\r\nrito plox dame a mi riven, quiero rankear :(\r\nPero que hay del pobre adc olvidado? {{champion:42}} {{item:3073}} {{item:3073}} {{item:3073}}","replies":[{"poster":"kiuhm","date":"2015-09-17T22:55:38.437+0000","up_votes":1,"down_votes":0,"body":"no chabon, desde que no esta riven, rankeo como un campeon. aprovecho y me voy top sin miedo a esa criatura desbalanceada.","replies":[{"poster":"Zabivaka","date":"2015-09-18T00:07:32.722+0000","up_votes":1,"down_votes":0,"body":"yo tambien pero me preocupan mas los pantheones, tienen un combo muy poderoso","replies":[]}]}]} |
{"latitude":37.9229,"longitude":-83.4982,"zipcode":"40387","msa":"541","dma":"NULL","state":"KY"} |
{
"content": [
"7142447ea05862f7989044407b0610ad\t10\tgurujibot\\/.*",
"71860c77c6745379b0d44304d66b6a13\t18\tpage analyzer v[\\d]\\.[\\d].*",
"71860c77c6745379b0d44304d66b6a13\t13\tpage analyzer.*",
"71864a5135ce6eda1472cea9e2c9ae78\t67\tpalm[\\d][\\d][\\d]\\/.* mozilla\\/[\\d]\\.[\\d] \\(.*compatible.*;.*msie [\\d]\\.[\\d]; windows ce; iemobile.[\\d]\\.[\\d].*",
"71b0c0aad031d1d579f6ad1c8c582b28\t13\tcherrypicker.*\\/.*",
"71d2291399579c62896689c16a183dd0\t11\tnsplayer\\/[\\d]\\..*",
"71e313451fa9eae455f2c0881269d49c\t11\tshowxml\\/[\\d]\\.[\\d].*"
]
}
|
{"poster":"Pr0xy G","date":"2016-03-21T17:54:33.964+0000","title":"ADC Silber Bereich sucht gemütlichen Support ;)","subforum":"Clans & Teams","up_votes":1,"down_votes":0,"body":"Hiho ;)\r\n\r\nHabe gerade meinen 10 Spiele hinter mir und bin von Gold V in Bronze I gefallen :D\r\n\r\nAlleine macht mir lol aber keinen Spass und hab mir gedacht ich meld mich mal im Forum ;)\r\n\r\nIch Spiele Adc kann aber gerne auch mal Supporten falls du mal lust hast adc zu spielen :D\r\n\r\ndas einzige was ich für nötig halte ist Teamspeak und eine gewisse Reife. \r\n\r\n\r\nBei interesse adde mich einfach.\r\n\r\nPr0xy G \r\n\r\n\r\n{{champion:51}} {{champion:67}} {{champion:236}} {{champion:15}}","replies":[{"poster":"AeQ KAPPOBY","date":"2016-03-21T21:20:16.233+0000","up_votes":1,"down_votes":0,"body":"Schau doch gerne mal bei uns vorbei. Hier findest du mit Sicherheit einige Mitspieler zum gemeinsamen Zocken. :)\n\nHier gehts zu unserem Vorstellungsthread: [Aequilibritas eSports sucht Mitglieder | Community und eSports | LoL, CS:GO, Hearthstone, etc.](http://boards.euw.leagueoflegends.com/de/c/clans-teams-de/tAy6UKsy-aequilibritas-esports-sucht-mitglieder-community-und-esports-lol-csgo-hearthstone-etc)\n\nAktuell suchen wir auch noch Teammitglieder: [Aequilibritas eSports sucht Teammitglieder! | Stellenausschreibung](http://boards.euw.leagueoflegends.com/de/c/clans-teams-de/GI0YEBa5-aequilibritas-esports-sucht-teammitglieder-stellenausschreibung)\n\nÜber diesen Link kannst du natürlich auch direkt zur Aufnahme gelangen: [Bewerbungsformular](http://aequilibritas-esports.de/index.php/Application/)\n\nUnsere Community existiert bereits seit 2009. :)","replies":[]}]} |
[[{"ID":4,"Row":4,"CompanyID":1430,"YearPeriod":2009,"TermCode":"N","TermName":"Năm","TermNameEN":"Year","ReportTermID":1,"DisplayOrdering":1,"United":"HN","AuditedStatus":"KT","PeriodBegin":"200901","PeriodEnd":"200912","TotalRow":7,"BusinessType":3,"ReportNote":null,"ReportNoteEn":null},{"ID":3,"Row":3,"CompanyID":1430,"YearPeriod":2010,"TermCode":"N","TermName":"Năm","TermNameEN":"Year","ReportTermID":1,"DisplayOrdering":1,"United":"HN","AuditedStatus":"KT","PeriodBegin":"201001","PeriodEnd":"201012","TotalRow":7,"BusinessType":3,"ReportNote":null,"ReportNoteEn":null},{"ID":2,"Row":2,"CompanyID":1430,"YearPeriod":2011,"TermCode":"N","TermName":"Năm","TermNameEN":"Year","ReportTermID":1,"DisplayOrdering":1,"United":"HN","AuditedStatus":"KT","PeriodBegin":"201101","PeriodEnd":"201112","TotalRow":7,"BusinessType":3,"ReportNote":null,"ReportNoteEn":null},{"ID":1,"Row":1,"CompanyID":1430,"YearPeriod":2012,"TermCode":"N","TermName":"Năm","TermNameEN":"Year","ReportTermID":1,"DisplayOrdering":1,"United":"HN","AuditedStatus":"KT","PeriodBegin":"201201","PeriodEnd":"201212","TotalRow":7,"BusinessType":3,"ReportNote":null,"ReportNoteEn":null}],{"Kết quả kinh doanh":[{"ID":1,"ReportNormID":4399,"Name":"1. Thu nhập lãi và các khoản thu nhập tương tự","NameEn":"1. Interest income and similar income","NameMobile":"1. Thu nhập lãi và các khoản thu nhập tương tự","NameMobileEn":"1. Interest income and similar income","CssStyle":"Normal","Padding":"Padding1","ParentReportNormID":4385,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":4650296.00,"Value2":5492850.00,"Value3":4019502.00,"Value4":2530035.00,"Vl":null,"IsShowData":true},{"ID":2,"ReportNormID":4396,"Name":"2. Chi phí lãi và các chi phí tương tự","NameEn":"2. Interest expense and similar expenses","NameMobile":"2. Chi phí lãi và các chi phí tương tự","NameMobileEn":"2. Interest expense and similar expenses","CssStyle":"Normal","Padding":"Padding1","ParentReportNormID":4385,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":5807286.00,"Value2":5396579.00,"Value3":3874888.00,"Value4":2510038.00,"Vl":null,"IsShowData":true},{"ID":3,"ReportNormID":4385,"Name":"I. Thu nhập lãi thuần","NameEn":"I. Net interest income ","NameMobile":"I. Thu nhập lãi thuần","NameMobileEn":"I. Net interest income ","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4376,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":-1156990.00,"Value2":96271.00,"Value3":144613.00,"Value4":19997.00,"Vl":null,"IsShowData":true},{"ID":4,"ReportNormID":4397,"Name":"3. Thu nhập từ hoạt động dịch vụ","NameEn":"3. Fee and commission income","NameMobile":"3. Thu nhập từ hoạt động dịch vụ","NameMobileEn":"3. Fee and commission income","CssStyle":"Normal","Padding":"Padding1","ParentReportNormID":4386,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":81955.00,"Value2":161349.00,"Value3":252798.00,"Value4":76305.00,"Vl":null,"IsShowData":true},{"ID":5,"ReportNormID":4398,"Name":"4. Chi phí hoạt động dịch vụ","NameEn":"4. Fee and commission expenses","NameMobile":"4. Chi phí hoạt động dịch vụ","NameMobileEn":"4. Fee and commission expenses","CssStyle":"Normal","Padding":"Padding1","ParentReportNormID":4386,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":82812.00,"Value2":52235.00,"Value3":46431.00,"Value4":15732.00,"Vl":null,"IsShowData":true},{"ID":6,"ReportNormID":4386,"Name":"II. Lãi/lỗ thuần từ hoạt động dịch vụ","NameEn":"II. Net fee and commission income ","NameMobile":"II. Lãi/lỗ thuần từ hoạt động dịch vụ","NameMobileEn":"II. Net fee and commission income ","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4376,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":-857.00,"Value2":109113.00,"Value3":206368.00,"Value4":60573.00,"Vl":null,"IsShowData":true},{"ID":7,"ReportNormID":4387,"Name":"III. Lãi/lỗ thuần từ hoạt động kinh doanh ngoại hối và vàng","NameEn":"III. Net gain/(loss) from foreign currencies and gold trading","NameMobile":"III. Lãi/lỗ thuần từ hoạt động kinh doanh ngoại hối và vàng","NameMobileEn":"III. Net gain/(loss) from foreign currencies and gold trading","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4376,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":-17012.00,"Value2":146132.00,"Value3":34600.00,"Value4":71938.00,"Vl":null,"IsShowData":true},{"ID":8,"ReportNormID":4388,"Name":"IV. Lãi/lỗ thuần từ mua bán chứng khoán kinh doanh","NameEn":"IV. Net gain/(loss) from trading securities","NameMobile":"IV. Lãi/lỗ thuần từ mua bán chứng khoán kinh doanh","NameMobileEn":"IV. Net gain/(loss) from trading securities","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4376,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":-308975.00,"Value2":-434186.00,"Value3":-402599.00,"Value4":-570161.00,"Vl":null,"IsShowData":true},{"ID":9,"ReportNormID":4389,"Name":"V. Lãi/lỗ thuần từ mua bán chứng khoán đầu tư","NameEn":"V. Net gain/(loss) from investment securities","NameMobile":"V. Lãi/lỗ thuần từ mua bán chứng khoán đầu tư","NameMobileEn":"V. Net gain/(loss) from investment securities","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4376,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":null,"Value2":0.00,"Value3":-78819.00,"Value4":-72714.00,"Vl":null,"IsShowData":true},{"ID":10,"ReportNormID":4394,"Name":"5. Thu nhập từ hoạt động khác","NameEn":"5. Other income","NameMobile":"5. Thu nhập từ hoạt động khác","NameMobileEn":"5. Other income","CssStyle":"Normal","Padding":"Padding1","ParentReportNormID":4390,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":2827379.00,"Value2":1883843.00,"Value3":1862467.00,"Value4":2302249.00,"Vl":null,"IsShowData":true},{"ID":11,"ReportNormID":4395,"Name":"6. Chi phí hoạt động khác","NameEn":"6. Other expenses","NameMobile":"6. Chi phí hoạt động khác","NameMobileEn":"6. Other expenses","CssStyle":"Normal","Padding":"Padding1","ParentReportNormID":4390,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":242855.00,"Value2":146745.00,"Value3":109536.00,"Value4":55511.00,"Vl":null,"IsShowData":true},{"ID":12,"ReportNormID":4390,"Name":"VI. Lãi/lỗ thuần từ hoạt động khác","NameEn":"VI. Net other income ","NameMobile":"VI. Lãi/lỗ thuần từ hoạt động khác","NameMobileEn":"VI. Net other income ","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4376,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":2584524.00,"Value2":1737097.00,"Value3":1752931.00,"Value4":2246738.00,"Vl":null,"IsShowData":true},{"ID":13,"ReportNormID":4393,"Name":"VII. Thu nhập từ góp vốn, mua cổ phần","NameEn":"VII. Income from capital contribution and long-term investments","NameMobile":"VII. Thu nhập từ góp vốn, mua cổ phần","NameMobileEn":"VII. Income from capital contribution and long-term investments","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4376,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":113028.00,"Value2":253792.00,"Value3":357953.00,"Value4":176119.00,"Vl":null,"IsShowData":true},{"ID":14,"ReportNormID":4391,"Name":"VIII. Chi phí hoạt động","NameEn":"VIII. Operating expenses","NameMobile":"VIII. Chi phí hoạt động","NameMobileEn":"VIII. Operating expenses","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4376,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":783874.00,"Value2":1262382.00,"Value3":871400.00,"Value4":417219.00,"Vl":null,"IsShowData":true},{"ID":15,"ReportNormID":4376,"Name":"IX. Lợi nhuận thuần từ hoạt động kinh doanh trước chi phí dự phòng rủi ro tín dụng (I+II+III+IV+V+VI+VII-VIII)","NameEn":"IX. Operating profit before provision for credit losses","NameMobile":"IX. Lợi nhuận thuần từ hoạt động kinh doanh trước chi phí dự phòng rủi ro tín dụng (I+II+III+IV+V+VI+VII-VIII)","NameMobileEn":"IX. Operating profit before provision for credit losses","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4377,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":429845.00,"Value2":645838.00,"Value3":1143647.00,"Value4":1515272.00,"Vl":null,"IsShowData":true},{"ID":16,"ReportNormID":4392,"Name":"X. Chi phí dự phòng rủi ro tín dụng","NameEn":"X. Provision for credit losses","NameMobile":"X. Chi phí dự phòng rủi ro tín dụng","NameMobileEn":"X. Provision for credit losses","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4377,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":375126.00,"Value2":245877.00,"Value3":569515.00,"Value4":842989.00,"Vl":null,"IsShowData":true},{"ID":17,"ReportNormID":4377,"Name":"XI. Tổng lợi nhuận trước thuế (IX-X)","NameEn":"XI. Profit before tax ","NameMobile":"XI. Tổng lợi nhuận trước thuế (IX-X)","NameMobileEn":"XI. Profit before tax ","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4378,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":54718.00,"Value2":399962.00,"Value3":574131.00,"Value4":672284.00,"Vl":null,"IsShowData":true},{"ID":18,"ReportNormID":4383,"Name":"7. Chi phí thuế TNDN hiện hành","NameEn":"7. Current corporate income tax expenses","NameMobile":"7. Chi phí thuế TNDN hiện hành","NameMobileEn":"7. Current corporate income tax expenses","CssStyle":"Normal","Padding":"Padding1","ParentReportNormID":4382,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":3708.00,"Value2":73623.00,"Value3":84803.00,"Value4":59167.00,"Vl":null,"IsShowData":true},{"ID":19,"ReportNormID":4384,"Name":"8. Chi phí thuế TNDN hoãn lại","NameEn":"8. Deferred income tax expenses (*)","NameMobile":"8. Chi phí thuế TNDN hoãn lại","NameMobileEn":"8. Deferred income tax expenses (*)","CssStyle":"Normal","Padding":"Padding1","ParentReportNormID":4382,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":-10336.00,"Value2":-21222.00,"Value3":-4905.00,"Value4":46197.00,"Vl":null,"IsShowData":true},{"ID":20,"ReportNormID":4382,"Name":"XII. Chi phí thuế TNDN","NameEn":"XII. Corporate income tax ","NameMobile":"XII. Chi phí thuế TNDN","NameMobileEn":"XII. Corporate income tax ","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4378,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":-6628.00,"Value2":52401.00,"Value3":79898.00,"Value4":105364.00,"Vl":null,"IsShowData":true},{"ID":21,"ReportNormID":4378,"Name":"XIII. Lợi nhuận sau thuế (XI-XII)","NameEn":"XIII. Net profit after tax","NameMobile":"XIII. Lợi nhuận sau thuế (XI-XII)","NameMobileEn":"XIII. Net profit after tax","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4380,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":61347.00,"Value2":347560.00,"Value3":494234.00,"Value4":566919.00,"Vl":null,"IsShowData":true},{"ID":22,"ReportNormID":4379,"Name":"XIV. Lợi ích của cổ đông thiểu số","NameEn":"XIV. Minority interest","NameMobile":"XIV. Lợi ích của cổ đông thiểu số","NameMobileEn":"XIV. Minority interest","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4380,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":15881.00,"Value2":-124345.00,"Value3":30636.00,"Value4":-1394.00,"Vl":null,"IsShowData":true},{"ID":23,"ReportNormID":4380,"Name":"XV. Lợi nhuận sau thuế của cổ đông của Ngân hàng mẹ (XIII-XIV)","NameEn":"XV. Net profit atttributable to the equity holders of the Bank ","NameMobile":"XV. Lợi nhuận sau thuế của cổ đông của Ngân hàng mẹ (XIII-XIV)","NameMobileEn":"XV. Net profit atttributable to the equity holders of the Bank ","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4380,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":45466.00,"Value2":471905.00,"Value3":463597.00,"Value4":568314.00,"Vl":null,"IsShowData":true},{"ID":24,"ReportNormID":4381,"Name":"Lãi cơ bản trên cổ phiếu (BCTC) (VNÐ)","NameEn":"Earning per share (VND)","NameMobile":"Lãi cơ bản trên cổ phiếu (BCTC) (VNÐ)","NameMobileEn":"Earning per share (VND)","CssStyle":"NormalB","Padding":"Padding1","ParentReportNormID":4381,"ReportComponentName":"Kết quả kinh doanh","ReportComponentNameEn":"Income Statement","Unit":null,"UnitEn":null,"OrderType":null,"OrderingComponent":null,"RowNumber":null,"ReportComponentTypeID":null,"ChildTotal":0,"Levels":0,"Value1":76.00,"Value2":787.00,"Value3":927.00,"Value4":1137.00,"Vl":null,"IsShowData":true}]},[{"AuditedStatusCode":"SX","Description":"Soát xét","DescriptionEn":"Reviewed"},{"AuditedStatusCode":"CKT","Description":"Chưa kiểm toán","DescriptionEn":"Unaudited"},{"AuditedStatusCode":"KT","Description":"Kiểm toán","DescriptionEn":"Audited"}],[{"UnitedCode":"HN","UnitedName":"Hợp nhất","UnitedNameEN":"Consolidated"},{"UnitedCode":"ĐL","UnitedName":"Đơn lẻ","UnitedNameEN":"Stand-alone"},{"UnitedCode":"CTM","UnitedName":"Công ty mẹ","UnitedNameEN":"Parent Company"}]] |
{
"git.postCommitCommand": "sync",
"workbench.colorCustomizations": {
"statusBar.background": "#9569bb"
},
"editor.formatOnSave": true,
"editor.codeActionsOnSave": {
"source.organizeImports": true,
"source.fixAll": true
},
"files.autoSave": "afterDelay",
"prettier.tabWidth": 4,
"typescript.preferences.importModuleSpecifier": "relative",
"[typescript]": {
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[json]": {
"editor.defaultFormatter": "esbenp.prettier-vscode"
}
}
|
{
"count": 10,
"next": null,
"previous": null,
"results": [
{
"name": "kanto",
"url": "/api/v2/region/1/"
},
{
"name": "johto",
"url": "/api/v2/region/2/"
},
{
"name": "hoenn",
"url": "/api/v2/region/3/"
},
{
"name": "sinnoh",
"url": "/api/v2/region/4/"
},
{
"name": "unova",
"url": "/api/v2/region/5/"
},
{
"name": "kalos",
"url": "/api/v2/region/6/"
},
{
"name": "alola",
"url": "/api/v2/region/7/"
},
{
"name": "galar",
"url": "/api/v2/region/8/"
},
{
"name": "hisui",
"url": "/api/v2/region/9/"
},
{
"name": "paldea",
"url": "/api/v2/region/10/"
}
]
} |
{"poster":"Nuke","date":"2019-02-22T02:32:46.120+0000","title":"Lo pidieron, lo tienen (Riot otorgará un reembolso cada año)","subforum":"Charlas Generales","up_votes":2,"down_votes":0,"body":"#Reembolsos\n\nhttps://gyazo.com/693d656336acf2c3464ab3f3414ac5b7.png\n\n¿Qué reembolsarán? Yo personalmente creo que compraré a Yi y luego lo reembolsaré para recordar los viejos tiempos sabes.\nSi, también suben los precios del RP, pero al menos en Arg ya tuvimos ese golpe jsjsjsjs. Ah pero en Uruguay 40% más caro lol. También se ven afectados los paises: Chile, Perú y Brasil, entre otros que no son latinoamericanos.","replies":[{"poster":"CaroI Danvers","date":"2019-02-22T02:38:42.097+0000","up_votes":3,"down_votes":0,"body":"Pero el historial de compras es re corto igual, no podes reembolsar una skin vieja q compraste hace mucho porq tenes el spam de iconos,gestos,ect en el historial","replies":[{"poster":"JACKY FANBOY","date":"2019-02-22T02:44:15.613+0000","up_votes":2,"down_votes":0,"body":"deberían mejorar eso, debería aparecer todo, aunque se demore en cargar","replies":[]},{"poster":"Mascheranox","date":"2019-02-22T03:22:26.526+0000","up_votes":1,"down_votes":0,"body":"Eso mismo,fui re ilucionado para reembolsar a braum mafioso y no pude :)","replies":[]},{"poster":"Nuke","date":"2019-02-22T02:42:08.490+0000","up_votes":1,"down_votes":0,"body":"Uf tenés razón","replies":[]}]},{"poster":"Graks","date":"2019-02-23T00:56:05.619+0000","up_votes":1,"down_votes":0,"body":"I...","replies":[{"poster":"Nuke","date":"2019-02-23T01:35:16.768+0000","up_votes":2,"down_votes":0,"body":"¡Graks alejate de mi! Ya soy feliz con otra persona, ¡Te superé! c:\n\nES BROMA VUELVE POR FAVOR TE NECESITO >:'V","replies":[{"poster":"Graks","date":"2019-02-23T20:20:32.825+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Nuke,realm=LAS,application-id=v7qsfXsE,discussion-id=JEe3zs57,comment-id=00080000,timestamp=2019-02-23T01:35:16.768+0000)\n>\n> ¡Graks alejate de mi! Ya soy feliz con otra persona, ¡Te superé! c:\n> \n> ES BROMA VUELVE POR FAVOR TE NECESITO >:'V\n\nEsperando que acepte la solicitud...","replies":[{"poster":"Nuke","date":"2019-02-23T20:26:32.780+0000","up_votes":1,"down_votes":0,"body":"Ta bien (?","replies":[]}]}]}]},{"poster":"JACKY FANBOY","date":"2019-02-22T02:33:55.402+0000","up_votes":1,"down_votes":0,"body":"Sería genial poner \"reembolsar\" una skin que haya salido en la artesania :c","replies":[{"poster":"Nuke","date":"2019-02-22T02:36:17.439+0000","up_votes":2,"down_votes":0,"body":"Eso no tiene sentido, porque no gastaste nunca dinero real en eso. Pero vamos, en estos momentos deberían decir \"gracias\", no pedir aún más xD creo yo.","replies":[{"poster":"JACKY FANBOY","date":"2019-02-22T02:38:02.367+0000","up_votes":1,"down_votes":0,"body":"lei algo de reembolsar las cosas que no usaste","replies":[{"poster":"Pollo al Ornno","date":"2019-02-22T04:51:29.883+0000","up_votes":1,"down_votes":0,"body":"*pero que pagaste*","replies":[]}]}]}]},{"poster":"MoonGL","date":"2019-02-22T17:50:51.912+0000","up_votes":1,"down_votes":0,"body":"Ya esta implementado? ahhhhh","replies":[]},{"poster":"TSW Rorschach","date":"2019-02-22T16:49:25.374+0000","up_votes":1,"down_votes":0,"body":"Reembolsé Bardo Bardo y compré un cofre artesano ~~ ludópata dónde ~~\n\nPero como me tocó Swain tirano, se me hizo worth(?","replies":[]},{"poster":"CuboRedondo","date":"2019-02-22T05:56:50.309+0000","up_votes":1,"down_votes":0,"body":"Al fin podré rembolsar a maestro yo asesinó","replies":[]},{"poster":"Salvor","date":"2019-02-22T03:29:19.882+0000","up_votes":1,"down_votes":0,"body":"Cuando lei el titulo recorde mi post en NA pidiendo reembolsos UwU\nhttps://boards.na.leagueoflegends.com/en/c/general-discussion/ulgElPeF-itd-be-nice-if-riot-would-give-us-new-refunds\n\n* Proxima meta, que pongan descuentos en compra de RP como tienen otros juegos!!!!\n\n{{sticker:sg-kiko}}","replies":[{"poster":"Pollo al Ornno","date":"2019-02-22T04:51:54.919+0000","up_votes":1,"down_votes":0,"body":"lo dudo mucho amigo, desde que salio el juego nunca (creo yo) hubo un minimo descuento en Rp, al menos en estos lados del mundo xD","replies":[]}]},{"poster":"Pollo al Ornno","date":"2019-02-22T04:50:58.583+0000","up_votes":1,"down_votes":0,"body":"me gusta esto! hace muchisimo tiempo se pedian mas reembolsos! y con esto cada cierto tiempo vamos a tener uno :D\n\nPD: igualmente no tiene sentido que en el \"historial de compras\" aparezcan cosas que no se puedan reembolzar, ya que supuestamente lo que deberia pasar, es que sea una lista de tus 30 compras REEMBOLZABLES mas recientes, pero habalmos de riot, aca la logica se va por un tubo jasbd","replies":[]},{"poster":"Hell Darking","date":"2019-02-22T02:39:30.393+0000","up_votes":1,"down_votes":1,"body":"siempre y cuando hayais gastado almenos una, lo que no te dicen es que durante el año si gastas una ficha, al final de este te devuelven otra\nse entiende? los que no tenemos ninguna ya jodimos (es solo para cuentas nuevas)","replies":[{"poster":"Nuke","date":"2019-02-22T02:41:40.451+0000","up_votes":1,"down_votes":0,"body":"No es asi.\nhttps://i.gyazo.com/293c8d7713afa12b47f5ddc469c5670d.png","replies":[]}]}]} |
{
"id": "a1c784a6-4520-4459-af12-694f68c3fa80",
"name": "coronavirus.indoor_quarantine",
"auto": true,
"contexts": [],
"responses": [
{
"resetContexts": false,
"affectedContexts": [],
"parameters": [],
"messages": [
{
"type": 14,
"platform": "telephony",
"lang": "en",
"condition": "",
"text": "",
"ssml": "\u003cspeak\u003eFollow local authorities for shelter in place guidelines. In addition, the CDC recommends that you stay home if you are showing signs of \u003csub alias\u003d\"covid 19\"\u003eCOVID-19\u003c/sub\u003e or are mildly ill, except to get medical care. If you have \u003csub alias\u003d\"covid 19\"\u003eCOVID-19\u003c/sub\u003e symptoms, separate yourself from other people and pets in your home.\u003c/speak\u003e"
},
{
"type": 0,
"lang": "en",
"condition": "",
"speech": "Follow local authorities for shelter in place guidelines. In addition, the CDC recommends that you stay home if you are showing signs of COVID-19 or are mildly ill, except to get medical care. If you have COVID-19 symptoms, separate yourself from other people and pets in your home."
}
],
"defaultResponsePlatforms": {},
"speech": []
}
],
"priority": 500000,
"webhookUsed": false,
"webhookForSlotFilling": false,
"fallbackIntent": false,
"events": [],
"conditionalResponses": [],
"condition": "",
"conditionalFollowupEvents": []
} |
{"poster":"HufflepuffC","date":"2015-09-19T18:26:15.906+0000","title":"Attack Move e Item Attivi","subforum":"Discussioni generali","up_votes":2,"down_votes":2,"body":"Da un po' sto giocando Kalista e mi son reso conto di quanto migliorerebbe la vita usare l'attack move. Dove mi consigliate di settarlo? Io avevo pensato sui tasti laterali del mouse...\r\nUn'altra curiosità: voi avete tasti specifici su cui avete gli item con una attiva? O avete lasciato i predefiniti? Se li avete cambiati, perché vi trovate meglio? \r\nGrazie :D","replies":[{"poster":"Lee Pugno Divino","date":"2015-09-21T07:37:57.049+0000","up_votes":1,"down_votes":0,"body":"Io uso attack only click sul sinistro e mi trovo incredibilmente bene.\nSui tastini a fianco del mouse uso il self cast e solamente gli item attivi assegnati ai pulsanti 5 e 6. Ma li uso poco spesso e solamente quando faccio build tipo.. {{item:3092}} {{item:3157}} {{item:3190}} 4 ({{item:3340}} ){{item:3800}} {{item:2049}} .\nAltri tasti sul mouse li ho assegnati a laugh, taunt, joke e dance.","replies":[]},{"poster":"StayM","date":"2015-09-19T19:08:26.970+0000","up_votes":1,"down_votes":0,"body":"Io uso l'attack move sul tasto sinistro del mouse, veramente di una comodità sconvolgente, visto che non ho una grandissima precisione.\nPer il resto ho tutto normale eccetto il trinket sulla a e le summ sui tasti laterali del mouse.","replies":[{"poster":"kirchhoff","date":"2015-09-20T01:06:18.145+0000","up_votes":1,"down_votes":0,"body":"E come fai a selezionare?","replies":[{"poster":"StayM","date":"2015-09-20T19:16:45.300+0000","up_votes":1,"down_votes":0,"body":"Col tasto destro mi muovo. Per selezionare le cose:\n- nello shop col sinistro, funziona ugualmente per comprare le cose, è tutto normale\n- per muovermi sulla minimappa uso un tasto laterale del mouse, \n- per i ping ctrl+tasto sinistro.\nfunziona tutto molto bene","replies":[]}]}]}]} |
{"university of calgary": {"Citation Count": 12.5, "Geo Mean W Impact": 834.833, "Geo Mean Score": 15.483, "Arith Mean Score": 39.187, "Publication Count": 1.25}, "worcester polytechnic institute": {"Citation Count": 3.0, "Geo Mean W Impact": 3091.703, "Geo Mean Score": 4.129, "Arith Mean Score": 10.45, "Publication Count": 0.333}, "simon fraser university": {"Citation Count": 162.1, "Geo Mean W Impact": 36248314.144, "Geo Mean Score": 8.671, "Arith Mean Score": 21.944, "Publication Count": 0.7}, "ecole polytechnique federale de lausanne": {"Citation Count": 33.5, "Geo Mean W Impact": 997.415, "Geo Mean Score": 18.58, "Arith Mean Score": 47.024, "Publication Count": 1.5}, "university of maryland college park": {"Citation Count": 40.333, "Geo Mean W Impact": 741.175, "Geo Mean Score": 16.516, "Arith Mean Score": 41.799, "Publication Count": 1.333}, "leipzig university": {"Citation Count": 15.375, "Geo Mean W Impact": 8.154307226112085e+16, "Geo Mean Score": 1.548, "Arith Mean Score": 3.919, "Publication Count": 0.125}, "university of victoria": {"Citation Count": 3.0, "Geo Mean W Impact": 38.16, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "university of louisiana at lafayette": {"Citation Count": 3.0, "Geo Mean W Impact": 3091.703, "Geo Mean Score": 4.129, "Arith Mean Score": 10.45, "Publication Count": 0.333}, "swansea university": {"Citation Count": 15.375, "Geo Mean W Impact": 8.154307226112085e+16, "Geo Mean Score": 1.548, "Arith Mean Score": 3.919, "Publication Count": 0.125}, "university of central florida": {"Citation Count": 21.5, "Geo Mean W Impact": 661.322, "Geo Mean Score": 18.58, "Arith Mean Score": 47.024, "Publication Count": 1.5}, "french institute for research in computer science and automation": {"Citation Count": 26.5, "Geo Mean W Impact": 20382.69, "Geo Mean Score": 15.483, "Arith Mean Score": 39.187, "Publication Count": 1.25}, "bauhaus university weimar": {"Citation Count": 18.0, "Geo Mean W Impact": 223.961, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "university of geneva": {"Citation Count": 54.0, "Geo Mean W Impact": 669.883, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "fraunhofer society": {"Citation Count": 128.6, "Geo Mean W Impact": 272467047989315.34, "Geo Mean Score": 2.477, "Arith Mean Score": 6.27, "Publication Count": 0.2}, "toyohashi university of technology": {"Citation Count": 6.0, "Geo Mean W Impact": 75.32, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "korea university": {"Citation Count": 1.0, "Geo Mean W Impact": 26.814, "Geo Mean Score": 6.193, "Arith Mean Score": 15.675, "Publication Count": 0.5}, "university of massachusetts lowell": {"Citation Count": 1.333, "Geo Mean W Impact": 280.575, "Geo Mean Score": 4.129, "Arith Mean Score": 10.45, "Publication Count": 0.333}, "pacific northwest national laboratory": {"Citation Count": 7.333, "Geo Mean W Impact": 183.618, "Geo Mean Score": 16.516, "Arith Mean Score": 41.799, "Publication Count": 1.333}, "eindhoven university of technology": {"Citation Count": 23.0, "Geo Mean W Impact": 534.25, "Geo Mean Score": 18.58, "Arith Mean Score": 47.024, "Publication Count": 1.5}, "danube university krems": {"Citation Count": 12.5, "Geo Mean W Impact": 3895.892, "Geo Mean Score": 6.193, "Arith Mean Score": 15.675, "Publication Count": 0.5}, "vienna university of technology": {"Citation Count": 12.5, "Geo Mean W Impact": 3895.892, "Geo Mean Score": 6.193, "Arith Mean Score": 15.675, "Publication Count": 0.5}, "middle east technical university": {"Citation Count": 9.0, "Geo Mean W Impact": 112.481, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "technische universitat munchen": {"Citation Count": 7.5, "Geo Mean W Impact": 1408.547, "Geo Mean Score": 6.193, "Arith Mean Score": 15.675, "Publication Count": 0.5}, "jacobs university bremen": {"Citation Count": 10.0, "Geo Mean W Impact": 124.867, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "united states naval research laboratory": {"Citation Count": 8.25, "Geo Mean W Impact": 447061.215, "Geo Mean Score": 6.193, "Arith Mean Score": 15.675, "Publication Count": 0.5}, "university of utah": {"Citation Count": 48.0, "Geo Mean W Impact": 595.563, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "graz university of technology": {"Citation Count": 39.0, "Geo Mean W Impact": 484.082, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "oregon state university": {"Citation Count": 6.0, "Geo Mean W Impact": 75.32, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "rutgers university": {"Citation Count": 15.375, "Geo Mean W Impact": 8.154307226112085e+16, "Geo Mean Score": 1.548, "Arith Mean Score": 3.919, "Publication Count": 0.125}, "college of western idaho": {"Citation Count": 19.375, "Geo Mean W Impact": 484241.184, "Geo Mean Score": 7.742, "Arith Mean Score": 19.593, "Publication Count": 0.625}, "purdue university": {"Citation Count": 24.375, "Geo Mean W Impact": 1756654.009, "Geo Mean Score": 7.742, "Arith Mean Score": 19.593, "Publication Count": 0.625}, "university of alcala": {"Citation Count": 14.0, "Geo Mean W Impact": 2455.879, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "san jose state university": {"Citation Count": 9.0, "Geo Mean W Impact": 29.502, "Geo Mean Score": 99.094, "Arith Mean Score": 250.794, "Publication Count": 8.0}, "pontifical catholic university of rio de janeiro": {"Citation Count": 4.75, "Geo Mean W Impact": 410465.446, "Geo Mean Score": 3.097, "Arith Mean Score": 7.837, "Publication Count": 0.25}, "nanjing university": {"Citation Count": 3.5, "Geo Mean W Impact": 121729.936, "Geo Mean Score": 3.097, "Arith Mean Score": 7.837, "Publication Count": 0.25}, "polytechnic university of catalonia": {"Citation Count": 21.0, "Geo Mean W Impact": 261.121, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "ulster defence association": {"Citation Count": 7.5, "Geo Mean W Impact": 1408.547, "Geo Mean Score": 6.193, "Arith Mean Score": 15.675, "Publication Count": 0.5}, "kaiserslautern university of technology": {"Citation Count": 15.375, "Geo Mean W Impact": 8.154307226112085e+16, "Geo Mean Score": 1.548, "Arith Mean Score": 3.919, "Publication Count": 0.125}, "university of illinois at urbana champaign": {"Citation Count": 16.0, "Geo Mean W Impact": 199.188, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "rwth aachen university": {"Citation Count": 50.0, "Geo Mean W Impact": 374.926, "Geo Mean Score": 24.773, "Arith Mean Score": 62.698, "Publication Count": 2.0}, "university of north carolina at charlotte": {"Citation Count": 233.475, "Geo Mean W Impact": 14344.541, "Geo Mean Score": 34.992, "Arith Mean Score": 88.562, "Publication Count": 2.825}, "forterra systems": {"Citation Count": 9.0, "Geo Mean W Impact": 112.481, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "arizona state university": {"Citation Count": 65.0, "Geo Mean W Impact": 806.137, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "university of south wales": {"Citation Count": 4.0, "Geo Mean W Impact": 50.547, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "university of kansas": {"Citation Count": 42.0, "Geo Mean W Impact": 522.242, "Geo Mean Score": 24.773, "Arith Mean Score": 62.698, "Publication Count": 2.0}, "lg electronics": {"Citation Count": 2.0, "Geo Mean W Impact": 103.134, "Geo Mean Score": 6.193, "Arith Mean Score": 15.675, "Publication Count": 0.5}, "zhejiang university": {"Citation Count": 3.5, "Geo Mean W Impact": 121729.936, "Geo Mean Score": 3.097, "Arith Mean Score": 7.837, "Publication Count": 0.25}, "university of southern california": {"Citation Count": 11.0, "Geo Mean W Impact": 137.254, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "trinity college": {"Citation Count": 52.5, "Geo Mean W Impact": 1988.787, "Geo Mean Score": 18.58, "Arith Mean Score": 47.024, "Publication Count": 1.5}, "university college london": {"Citation Count": 3.0, "Geo Mean W Impact": 3091.703, "Geo Mean Score": 4.129, "Arith Mean Score": 10.45, "Publication Count": 0.333}, "petrobras": {"Citation Count": 4.75, "Geo Mean W Impact": 410465.446, "Geo Mean Score": 3.097, "Arith Mean Score": 7.837, "Publication Count": 0.25}, "yonsei university": {"Citation Count": 2.0, "Geo Mean W Impact": 25.773, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "kaist": {"Citation Count": 2.0, "Geo Mean W Impact": 103.134, "Geo Mean Score": 6.193, "Arith Mean Score": 15.675, "Publication Count": 0.5}, "ecole normale superieure": {"Citation Count": 18.5, "Geo Mean W Impact": 10800.396, "Geo Mean Score": 15.483, "Arith Mean Score": 39.187, "Publication Count": 1.25}, "university of munster": {"Citation Count": 76.0, "Geo Mean W Impact": 942.391, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "university of ottawa": {"Citation Count": 128.6, "Geo Mean W Impact": 272467047989315.34, "Geo Mean Score": 2.477, "Arith Mean Score": 6.27, "Publication Count": 0.2}, "university of california davis": {"Citation Count": 83.375, "Geo Mean W Impact": 42796.733, "Geo Mean Score": 13.935, "Arith Mean Score": 35.268, "Publication Count": 1.125}, "edith cowan university": {"Citation Count": 8.0, "Geo Mean W Impact": 100.094, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "university of texas at dallas": {"Citation Count": 50.0, "Geo Mean W Impact": 620.336, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "aes corporation": {"Citation Count": 8.25, "Geo Mean W Impact": 447061.215, "Geo Mean Score": 6.193, "Arith Mean Score": 15.675, "Publication Count": 0.5}, "indiana university": {"Citation Count": 9.0, "Geo Mean W Impact": 2024.69, "Geo Mean Score": 6.193, "Arith Mean Score": 15.675, "Publication Count": 0.5}, "coventry university": {"Citation Count": 128.6, "Geo Mean W Impact": 272467047989315.34, "Geo Mean Score": 2.477, "Arith Mean Score": 6.27, "Publication Count": 0.2}, "virginia tech": {"Citation Count": 18.5, "Geo Mean W Impact": 8515.754, "Geo Mean Score": 6.193, "Arith Mean Score": 15.675, "Publication Count": 0.5}, "university of rennes": {"Citation Count": 7.5, "Geo Mean W Impact": 1408.547, "Geo Mean Score": 6.193, "Arith Mean Score": 15.675, "Publication Count": 0.5}, "centre national de la recherche scientifique": {"Citation Count": 1.0, "Geo Mean W Impact": 26.814, "Geo Mean Score": 6.193, "Arith Mean Score": 15.675, "Publication Count": 0.5}, "electronics and telecommunications research institute": {"Citation Count": 37.0, "Geo Mean W Impact": 459.309, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}, "microsoft": {"Citation Count": 4.5, "Geo Mean W Impact": 330948.571, "Geo Mean Score": 3.097, "Arith Mean Score": 7.837, "Publication Count": 0.25}, "weimar institute": {"Citation Count": 18.5, "Geo Mean W Impact": 8515.754, "Geo Mean Score": 6.193, "Arith Mean Score": 15.675, "Publication Count": 0.5}, "national central university": {"Citation Count": 15.0, "Geo Mean W Impact": 186.801, "Geo Mean Score": 12.387, "Arith Mean Score": 31.349, "Publication Count": 1.0}} |
{"title":"Glenn Beck GBTV - Real News 2012-04-20 E133","uid":7207233,"size":1080584594,"categoryP":"video","categoryS":"tv_shows","magnet":"?xt=urn:btih:9b5bec2e14667efabc7c35a7816641fff39b07a4&dn=Glenn+Beck+GBTV+-+Real+News+2012-04-20+E133&tr=udp%3A%2F%2Ftracker.openbittorrent.com%3A80&tr=udp%3A%2F%2Fopen.demonii.com%3A1337&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Fexodus.desync.com%3A6969","seeders":0,"leechers":1,"uploader":"joepic9","files":1,"time":1335136050,"description":"GBTV - Real News Episode 133","torrent":{"xt":"urn:btih:9b5bec2e14667efabc7c35a7816641fff39b07a4","amp;dn":"Glenn+Beck+GBTV+-+Real+News+2012-04-20+E133","amp;tr":["udp%3A%2F%2Ftracker.openbittorrent.com%3A80","udp%3A%2F%2Fopen.demonii.com%3A1337","udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969","udp%3A%2F%2Fexodus.desync.com%3A6969"],"infoHash":"9b5bec2e14667efabc7c35a7816641fff39b07a4","infoHashBuffer":{"type":"Buffer","data":[155,91,236,46,20,102,126,250,188,124,53,167,129,102,65,255,243,155,7,164]},"announce":[],"urlList":[]}} |
["9912203d578d22f8626b71717e523fe2ff5bc7eb","b72e90bf90bfd798d32f9030c42f01ed6017a57a"] |
{"h":"1aa89b77e0e209b71d30","c":[0]} |
{
"baselines": [
{
"blob": "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",
"detector": "H2"
},
{
"blob": "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",
"detector": "H1"
},
{
"blob": "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",
"detector": "CDD"
},
{
"blob": "Q+aD+r17CWhD5wjqPEcTjEPnjyy84trfQ+gV1D2B35BD6Jz7vaycWkPpIxe9ANQlQ+mpi7w9tx1D6jAhvPIR1EPqtqy84+G6Q+s9lb3sbJtD68PjvcgPAEPsSiy8IVWKQ+zQuz2uU1pD7VdmvVKtoUPt3nu84J1gQ+5lr71T8CRD7uwvPRULyEPvcoy9l270Q+/5LbzKBoZD8IGXvKibbEPxB0O97j6VQ/GOfb1RmuVD8hUVPY3JQUPynA08lQgnQ/Mkm73n/YFD86l2vZVneUP0MKo95eKCQ/S3oD2M/fBD9T6rPR+9tUP1xZS8IYVXQ/ZL5Ly1BcJD9tJbvQgn3UP3WM+9Tv37Q/ffI7yzzxlD+GXLvcVUj0P47Aa9g1mjQ/l08DyInIhD+fjpPJxQ60P6gYA8V1MmQ/sGlb2on2hD+44YvLjZiUP8EtQ8Hrx0Q/yZFbvg01xD/R+dvSxGhkP9ply9g/TmQ/4s2bz0fxpD/rLuvZA/2EP/OcS9KRowQ//AGTzOd5REACR5vcG9OkQAZpo7csPtRACp9L4Uo1xEAO1WvZQHLUQBMO28EXaARAF0VL0re3BEAbdrvJzAbUQB+rq9IO+YRAI+LL2dnUBEAoGcPOKMDkQCxcg9G320RAMJur0NPhhEA0xvvXhUrEQDj0G9W6MERAPSc72F9nREBBXmvXrlk0QEWPg8NSWyRAScpr4DNaxEBOA4PREHlkQFI6K9rv1URAVm2rxVbZdEBaorPKZPBUQF7a29HtYBRAYxHDzDoitEBnRrPaBYS0QGuI+9gGM7RAb7Ur24FbJEBz8dvXmLNUQHgn4760zGRAfFwb2JgiBECAkzvUt+GkQITKQ7FWSXRAiQCLvU4AtECNMfPTVRm0QJFj29p/JDRAlZ7L2Nc0pECZ07u2wImUQJ4LY9BqlzRAoj2rwpLSVECmdTPOTJ4kQKqu+9UExwRArt9Dy3xc5ECzHLPbfrQEQLdRi85NCuRAu4VLxV/PxEC/wXvCXQv0QMPyu97CTqRAyCdbzUG1NEDMcoPYw+lEQNCYG71f7bRA1Nsr4VwgdEDZCwvX+P70QN05S95d3YRA4WeL0GqY5EDlnivYyoQ0QOnWA76K90RA7grr2W07VEDyP8vhydy0QPZzM8TE5ERA+qpTuwqPdED+67vgDpS0QQMeU8i7F0RBB1HD0sKhlEELhYvPcERUQQ+348DwxuRBE+xL2M3gFEEYIuvOkzxkQRxYm6urzQRBII2rzBn9ZEElfvO392zkQSj6w8RHYx",
"detector": "L2"
},
{
"blob": "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",
"detector": "L1"
},
{
"blob": "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",
"detector": "AX"
}
],
"commit": "af5fd42682229c0f580717a5ad067887d371238a",
"encoding": "base64",
"format": ">ff",
"signals": [
{
"blob": "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",
"detector": "H2",
"isotope": "Ar41"
},
{
"blob": "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",
"detector": "H1",
"isotope": "Ar40"
},
{
"blob": "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",
"detector": "CDD",
"isotope": "Ar36"
},
{
"blob": "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",
"detector": "L2",
"isotope": "Ar37"
},
{
"blob": "Qa+TRDzGgIBBuAZHPQXWDkHAhvo9SsBgQcjUmTy7ZOVB0TRnu9cchkHZmWI81JDIQeIDYD0PPMpB6mP2PLtng0Hyya47+hHaQfswJr1ryORCAcnnvKXxSEIF/Ji8mmuTQgoy/z2TjxlCDmYpPV7d9EISmgM9FttqQhbMdzv7AihCGxLvPIpxXUIfMPu9BfogQiNjBL0ugp1CJ5whvIJz9UIr02g8KOoaQjAClj0jBIBCND36PNzTpkI4ZPi8wRxRQjyr5b15eWBCQM6zvKFIZUJE/mE8P0RKQkkxsDuWI9FCTWXCvB30JUJRmEm9JWjeQlXJgLzyOctCWgAWuwrdwkJeM1k6NUMIQmJl9TzOlf9CZpuiOg9gLEJqzjY6WNy9Qm8CCbzzVgxCczcnvLNZZ0J3aTy8p7oPQnud07ylbsVCf9r1PQtQLUKCCKU9DgA4QoQcMrq7cmhChjYku+uXWEKIT5i8tU55Qopobrvl4TxCjIE2vLQ3PEKOmmi9Ck4TQpCzdLu7FRVCktSavGGAbEKU5ZW8hzdjQpb+nrx2rhlCmRiFOw0EoEKbMaK8oB7RQp1M7b0HKdhCn2cIvWYqS0Khh1W9bVeZQqOZe71GGbxCpbL6vRNxMkKnzbo72LolQqnnSDx0qKBCrAW4u6d04EKuHeI7vwS3QrA1E70bgy5CslC9u8gt30K0baW7uQBiQraDSL0CB9ZCuJ3pu/V2pkK6tts8gw9GQrzQcjyYOGdCvujtvKXsD0LBAnm8ktp5QsMbv70HkNJCxTV6vbKkiELHV7a9jXptQslpgLxhW+RCy4MHvTYOWULNnRG8pnZmQs+4MTv6HExC0dHzvJw3BkLT65i86rzvQtYJ37yS/GlC2CKjO84oY0LaPHW8NkKaQtxQNDzKEZBC3mqTuxwXBkLghOa8TJXsQuKeVDuezGBC5LfyPBV2k0Lm0iA7qUELQujrJrzJaDpC6wZAvMNFfkLtH0C9SqukQu86lr0SQURC8VTsPC8JwELzb1K8udpgQvWKGbvpog5C96NCvQEWqEL5voe8WhoRQvvfezyeW+9C/fKOvQ6JJkMABpe8+wGnQwEVOrzw5sVDAiRSOPBgA0MDMF+7opnWQwRAEryNpvFDBUeeu8dnbUMGVNe87e/cQwdh1Ty2+uJDCG8ZO3j8P0MJe+66eDFnQwqKwb0S5u5DC5W6vD8WuEMMolq8FLxkQw2vcTvjlR9DDrwDuz6zAUMPyYa8tac0QxDWM70ihY5DEeO/vQqgMEMS8NG8B/LPQxP9rrvmH+ZDFQtAvWmPeEMWGOa8nls4QxcnKDy67JFDGDOCPKuJfEMZPuA9XHaaQxpNNT1UYjhDG1lvPASQpkMcZfy8UktBQx1zUb0Slg5DHn/oO3CniEMfjLC6QfvxQyCZgryMGhRDIab0vCZa9kMis0O8uucpQyO/070aJFtDJM2WvYDflEMl2h+8bbYvQybnM702KGpDJ/RnvVJuHEMpAc48/DRAQyoPSzz9l+5DKxzOPKVyykMsKxU8wxlUQy05wLwqVOhDLkSrvT0Yu0MvUJe9TxpAQzBdETwG1IxDMWvSvJSwaEMyeoe8jBd3QzOEJTzW/FJDNJOFO5dyZEM1ntK8t2/mQzasf7sSDLVDN7kjPNfFnEM4xeG7mQMLQznTOb1fbXNDOt+/PHWEMUM77UK72yZ+Qzz6CLwMdK9DPgbGvLtSJ0M/FBE8VhyqQ0AgozzlamNDQTDsPM9vKUNCPCk8VuNJQ0NHzL0YNMBDRFWGvJ2HxkNFYoa81NypQ0ZvODyT4ShDR3yxOv5FWkNIiZu8eD/fQ0mWgDqdbHlDSqOpu3aw2ENLsFA8tYTXQ0zBvDyvewlDTc17PL277kNO2W+71Mk0Q0/mV7xWwjBDUPaSu6PIxENSAKI8aQooQ1MNG7uftC9DVBpEPFbOYENVJy88yLBeQ1Yz6bu89Y1DV0DzvVPVlkNYTgm8wzM6Q1la/LmRp1BDWmfxvISGCkNbdH67/icIQ1yBQr0eAOVDXY2SvLLevkNemn09F1UYQ1+n6LyFDdJDYLWXvDDQ5ENhwl+8tac0Q2LOsL0/YIVDY9wjuy/X9ENk6UM8kUPSQ2X2VDvbiwBDZwauvT1UrUNoEDO8b3bxQ2kdbbzr7hRDain7O5PP3kNrN327tnjJQ2xFRzwTQk1DbVQVvCppyUNuYtK9D8xbQ29tlrwCydFDcHmfOyCy/UNxiFu8pagyQ3KVIb0mWMdDc6AXPTTst0N0rPY86h+8Q3W5tDvexFVDdsePvQ4kzEN31PQ8WzybQ3jh5bv51BJDee5dPNCrwEN6+uA8zGN4Q3wHoLw5vy5DfRQxvKk5vkN+JD09CuOcQ38t1TyNSshDgB1SvQjdNEOApby9iSf/Q4Eqw7uq7MBDgbFdvHLzOUOCOAu79s9GQ4K+6Lyp7ddDg0bbvPze1kODzIa8DxD6Q4RSc7tL7BJDhNk2Oy6+7EOFYK08IpEIQ4XmNbziqKBDhmz6vLz45EOG8+G8G/SHQ4d6NbxlAf5DiAB5PPqR0EOIhy84W3rBQ4kNU7ynsjpDiZPGvGqSlkOKG608elC6Q4qgh7vaFvJDiybZvK3S3EOLrRk8mhGuQ4wz0z0UyDlDjLorugp3zEONQME8R/viQ43IZrzINFpDjk5QvSEGMUOO1Ge9gtmBQ49apb0MqDtDj+FkvQSXjkOQaDm9JiNSQ5Du6LwRC2lDkXVPPGuiCkOR+4+7kTfTQ5KBzTvbN2xDkwhcvEMgLUOTjs87SBAoQ5QVJjyyNWFDlJtjOv3xu0OVIao81qYOQ5WoEjzTEqNDli6GPLEtNkOWtNs8pFMfQ5c7Wjws5RFDl8GjvSK+7kOYSKq8cujJQ5jQo71FEo5DmVYhvTZ1UEOZ27m8lz+vQ5pkRTuEDDxDmuqWPQ8ZeEObb5484EnqQ5v2KjySnPFDnHy4vKa3p0OdAye8naR9Q52J9bysFI5DnhBXusW7n0Oely87rTdGQ58dp7rQLp1Dn6Q3vNn800OgKwS7wRR9Q6CxVzpwDUFDoTfXvB5M5UOhviY8NNCdQ6JEbbxBmLhDostNOZEB80OjUwi7jtnvQ6PY0z0wCRhDpF86PS/8AUOk5YU8YM+VQ6VsCTop1KNDpfJnPEONyEOmeNO7+3XLQ6b/GTyBlthDp4WtPDTLZEOoDcM7KMi8Q6iSRrziAbFDqRi0u+anqkOpnyQ8Gzf/Q6olc7zzO/hDqqvXvM5mpkOrMjq9ClH8Q6u4er0Yyr1DrD9JOsEwfkOsxa08aXfvQ61MGjyh4h1DrdKOu7uxwkOuWdI8RE8mQ67gCLenL1BDr2XAvORpQUOv7Bi9BQPBQ7ByRTtOwpZDsPkXO7aH50Oxf5g9I5cVQ7IGKjy9hP9Dsox2vEuQ90OzExm9ER3kQ7OZgzyimStDtB/PvG4EdUO0plW9BiE7Q7UuwbyqOYhDtbOkPJCPakO2OhU8XFbdQ7bAW7v3/iFDt0dhvVETpEO3zYi9Fs9gQ7hUALywm11DuNqsPOxPSkO5Yqk7psM9Q7nndr06hqFDum2WvQgIvUO68728CuKoQ7t6cbzf6vlDvADoPSyMSkO8hyA9Gj2ZQ70N5jtBHwVDvZSOvJdKIEO+G3E8GkzfQ76iRrwapmhDvyjgvTXTskO/r369RsRoQ8A2HjwopixDwLzFPGg+S0PBRYw7/M3hQ8HJqDxtL1NDwlJFPIEO6UPC2aM9ApOrQ8Nc97wPKxVDw+PEvOYCwEPEayS8kTtbQ8TxGrycpKpDxXaxvNnLQ0PF/W69G5a+Q8aDoTwvnBFDxwnbPQWV+EPHkEQ8P3NTQ8gWrjx5arNDyJ0svAPEcUPJI3+8g3FAQ8mpyjx+AvtDyjB7O5isDUPKtqu8pQPBQ8s9Jb0lFrpDy8OCvDQZTEPMSx+706TEQ8zQwrxvkQhDzVchvHB2oEPN3pW8eG7VQ85lgjxo+npDzuqvuwPYlkPPc0y8jB9MQ8/3kL0Q/U9D0H4LvOlxtUPRBHc8Y3cdQ9GK6Dw+RDZD0hG+OvRO6UPSmBE9Df7pQ9Me0rwN17dD06VfvMdJh0PUK9+791cJQ9SyxDxbcOBD1TkgvGLeD0PVv2m9GLcsQ9ZGPLtOID5D1sxwPAS/qkPXUsQ69hrTQ9fZeTzCgZlD2F/dPJ1ov0PY5lC9iPXgQ9ltg71nnv5D2fRsvLOK/UPaeeI72LolQ9sAiT098UxD24cSOONPvUPcDWQ7LEu4Q9yVsD0Pwjg=",
"detector": "L1",
"isotope": "Ar38"
},
{
"blob": "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",
"detector": "AX",
"isotope": "Ar39"
}
],
"sniffs": [
{
"blob": "Pxn1fD8ummg/02lGQHUNjkAtCpJAGKrsQHBD2T+ldd0=",
"detector": "H2",
"isotope": "Ar41"
},
{
"blob": "Pxn1fD8l5Ro/02lGQFCNdEAtCpJASjQkQHBD2UA+2dA=",
"detector": "H1",
"isotope": "Ar40"
},
{
"blob": "Pxn1fD5+SdY/02lGPe9dNUAtCpI9BCrQQHBD2Tyfkzg=",
"detector": "CDD",
"isotope": "Ar36"
},
{
"blob": "Pxn1fD75bDw/02lGP5T/s0AtCpI+wEauQHBD2T5NZbo=",
"detector": "L2",
"isotope": "Ar37"
},
{
"blob": "Pxn1fD1+2CE/02lGP1Z/okAtCpI/UV1uQHBD2T8QBA8=",
"detector": "L1",
"isotope": "Ar38"
},
{
"blob": "Pxn1fD/gjYQ/02lGQJ/8L0AtCpI/2/A9QHBD2T9Cnzo=",
"detector": "AX",
"isotope": "Ar39"
}
]
} |
{"code":"5309152005","province_code":"53","regency_code":"5309","district_code":"530915","name":"WATUKAPU"} |
{
"id": 320160241,
"type": "Feature",
"properties": {
"addr:full":"2 Montrose Drive Nuneaton Leicestershire CV10 7LX",
"addr:housenumber":"2",
"addr:postcode":"cv10 7lx",
"addr:street":"Montrose Drive",
"edtf:cessation":"uuuu",
"edtf:inception":"uuuu",
"geom:area":0.0,
"geom:area_square_m":0.0,
"geom:bbox":"-1.486236,52.516693,-1.486236,52.516693",
"geom:latitude":52.516693,
"geom:longitude":-1.486236,
"iso:country":"GB",
"mz:hierarchy_label":1,
"mz:is_current":-1,
"sg:address":"2 Montrose Drive",
"sg:city":"Nuneaton",
"sg:classifiers":[
{
"category":"Banks & Credit Unions",
"subcategory":"Bank",
"type":"Services"
}
],
"sg:owner":"simplegeo",
"sg:phone":"+44 24 7637 4394",
"sg:postcode":"CV10 7LX",
"sg:province":"Leicestershire",
"sg:tags":[
"broker",
"mortgage"
],
"src:geom":"simplegeo",
"wof:belongsto":[
85790749,
85633159,
101750471,
85683907
],
"wof:breaches":[],
"wof:concordances":{
"sg:id":"SG_18CTSmI31gG1RBZmJxRDwr_52.516693_-1.486236@1300740636"
},
"wof:country":"GB",
"wof:geomhash":"883fae7b0e119550a3810e7d113d38d9",
"wof:hierarchy":[
{
"continent_id":-1,
"country_id":85633159,
"locality_id":101750471,
"neighbourhood_id":85790749,
"region_id":85683907,
"venue_id":320160241
}
],
"wof:id":320160241,
"wof:lastmodified":1496963043,
"wof:name":"Paul Tonks Mortgage Sourcing",
"wof:parent_id":85790749,
"wof:placetype":"venue",
"wof:repo":"whosonfirst-data-venue-gb",
"wof:superseded_by":[],
"wof:supersedes":[],
"wof:tags":[
"broker",
"mortgage"
]
},
"bbox": [
-1.486236,
52.516693,
-1.486236,
52.516693
],
"geometry": {"coordinates":[-1.486236,52.516693],"type":"Point"}
} |
{"poster":"LaserLink","date":"2015-07-07T19:55:51.381+0000","title":"OBS LOL Overlay","subforum":"Champions & Gameplay","embed":{"description":"Schwitzen in der Solo Q!","url":"http://www.twitch.tv/laserlink1","image":"http://static-cdn.jtvnw.net/jtv_user_pictures/xarth/404_user_600x600.png"},"up_votes":1,"down_votes":0,"body":"Hi Beschwörer!\r\n\r\nIch brauche für meinen Twitch-Stream ein Overlay VOR dem Hud-Update und DANACH. Da ich da schon so ein paar Ideen habe, würde ich mich freuen, wenn man das privat über ts oder so klären könnte. Ich könnte via Paypal entlohnen.\r\n\r\nIch brauche jemanden, der mir hilft, dieses Overlay dann in OBS einzufügen und zwar so, dass es genau auf Bildschirmgröße ist.\r\n\r\nSo das war es erstmal, vielleicht hat ja jemand Bock einem Streamanfänger zu helfen.\r\n\r\nLg LaserLink","replies":[{"poster":"W1K EgoicMind","date":"2015-08-14T01:33:53.928+0000","up_votes":1,"down_votes":0,"body":"Hey there, i've been making overlays for a short while now :) if you are interested, please contact me on [my facebook page](http://www.facebook.com/arnikbb) or check out my deviant art gallery under [\"EgoicMind\"](http://egoicmind.deviantart.com/gallery/55611790/Overlays).","replies":[]}]} |
{
"forum_title": "Dekk og felgur",
"id": "23525",
"title": "44\"dc á15\" felgum",
"url": "http://www.jeppaspjall.is/viewtopic.php?f=30&t=23525",
"posts": [
{
"user_name": "bjarkimar89",
"text": "ER 4 dc 44\" þau eru 15\" felgum 14\"breidar dekkin eru med fint munstur en þad ER fùi í þeim og þau leka öll og svo ER eikvad hopp I þeim\nVerð. 70 þùs\nSími 6595434",
"date": "2014-02-24 14:00:00",
"post_id": "129105",
"reply_to_id": false
}
],
"date": "2014-02-24 14:00:00"
} |
{"code":"6106182007","province_code":"61","regency_code":"6106","district_code":"610618","name":"NANGA DANAU"} |
{
"title": "焦黑储罐",
"item": {
"tag": "tconstruct:seared_tanks"
},
"text": [
{
"text": "储罐是储存熔融流体和燃料的绝佳容器。如果你想要在冶炼炉中熔炼金属的话，它们不可或缺！如果你想储存材料以备日后使用，也可以从冶炼炉倒入储罐。",
"paragraph": true
},
{
"text": "焦黑储罐不能用于搭建冶炼炉底板。",
"paragraph": true
}
]
}
|
{
"forum_title": "Vara og aukahlutir",
"id": "3742",
"title": "Unimog hásingar",
"url": "http://www.jeppaspjall.is/viewtopic.php?f=31&t=3742",
"posts": [
{
"user_name": "Hordursa",
"text": "Til sölu Unimog hásingar, hásingarnar eru með ípumpusystemi 1:5,3 hlutfalli og ýmsu öðru.\nupplýsingar í síma 8573657 Hörður",
"date": "2011-03-06 15:09:00",
"post_id": "17252",
"reply_to_id": false
},
{
"user_name": "Offari",
"text": "Hvaða verðhugmynd hefur þú og úr hvaða típu og árgerð eru hásingarnar?",
"date": "2011-03-06 15:25:00",
"post_id": "17254",
"reply_to_id": "17252"
},
{
"user_name": "Árni Braga",
"text": "Sendu mér upplýsingar um verð, árgerð, breidd og helst myndir \nsmidur@islandia.is",
"date": "2011-03-06 17:06:00",
"post_id": "17266",
"reply_to_id": "17254"
},
{
"user_name": "Hordursa",
"text": "hásingarnar eru úr 1550 bíl og eru ca 2160mm breiðar eru úr árgerðurm ca 2004 og verðið er 825 þúsund fyrir settið.\nhásingarnar eru á íslandi og klárar til afgreiðslu",
"date": "2011-03-06 21:29:00",
"post_id": "17291",
"reply_to_id": "17266"
},
{
"user_name": "Hordursa",
"text": "Enn til 1 sett",
"date": "2011-04-06 10:30:00",
"post_id": "19675",
"reply_to_id": "17291"
},
{
"user_name": "jeepson",
"text": "Buinn að senda þér skiló. en hef ekkert svar fengið",
"date": "2011-04-06 18:42:00",
"post_id": "19703",
"reply_to_id": "19675"
},
{
"user_name": "Hordursa",
"text": "upp",
"date": "2011-05-02 22:11:00",
"post_id": "21534",
"reply_to_id": "19703"
}
],
"date": "2011-03-06 15:09:00"
} |
{
"id": 118493909,
"type": "Feature",
"properties": {
"addr:full":"Redforde House, 21 Bridgegate Retford Nottinghamshire DN22 6AQ",
"addr:housenumber":"21",
"addr:postcode":"dn22 6aq",
"addr:street":"Bridgegate",
"edtf:cessation":"uuuu",
"edtf:inception":"uuuu",
"geom:area":0.0,
"geom:area_square_m":0.0,
"geom:bbox":"-0.944977,53.323944,-0.944977,53.323944",
"geom:latitude":53.323944,
"geom:longitude":-0.944977,
"iso:country":"GB",
"mz:hierarchy_label":1,
"mz:is_current":-1,
"sg:address":"Redforde House, 21 Bridgegate",
"sg:city":"Retford",
"sg:classifiers":[
{
"category":"Home & Garden",
"subcategory":"Furniture",
"type":"Retail Goods"
}
],
"sg:owner":"simplegeo",
"sg:phone":"+44 1777 703747",
"sg:postcode":"DN22 6AQ",
"sg:province":"Nottinghamshire",
"src:geom":"simplegeo",
"wof:belongsto":[
85633159,
85683849
],
"wof:breaches":[],
"wof:concordances":{
"sg:id":"SG_3B0DLfyOmlMWQWJ5EZLxx3_53.323944_-0.944977@1300740026"
},
"wof:country":"GB",
"wof:geomhash":"83a7d34342464b6cd8e5d71f834a9e7b",
"wof:hierarchy":[
{
"country_id":85633159,
"region_id":85683849,
"venue_id":118493909
}
],
"wof:id":118493909,
"wof:lastmodified":1496965430,
"wof:name":"Chas Swannack & Son Ltd.",
"wof:parent_id":85683849,
"wof:placetype":"venue",
"wof:repo":"whosonfirst-data-venue-gb",
"wof:superseded_by":[],
"wof:supersedes":[],
"wof:tags":[]
},
"bbox": [
-0.944977,
53.323944,
-0.944977,
53.323944
],
"geometry": {"coordinates":[-0.944977,53.323944],"type":"Point"}
} |
{
"HP": {
"domain": "hp.com",
"tfa": [
"totp"
],
"keywords": [
"retail"
]
}
} |
{"poster":"MindFreakxX","date":"2019-03-12T17:03:16.950+0000","title":"Suche leute für Normals","subforum":"Clans & Teams","up_votes":1,"down_votes":0,"body":"Hei Wie oben schon gesagt suche leute für normals\r\nbitte tilt und flame free \r\nWenn Disc oder Ts vorhanden ist wäre super ! :)\r\n(+18) Pls\r\n{{sticker:slayer-jinx-catface}}","replies":[]} |
{"poster":"camaniac","date":"2016-12-03T17:44:03.016+0000","title":"\"Karácsonyi event\"","subforum":"Minden egyéb","up_votes":6,"down_votes":1,"body":"Figyelem az alábbi link átverés, valószínűleg adatlopásra használják:\nhttp://christmas.%%%%%%%%%%%%%/?id=eARdziZH\n\naki kételkedne benne annak ajánlom az oldal kódjának átnézését:\nview-source:http://christmas.%%%%%%%%%%%%%/?id=eARdziZH\nés összehasonlításképp itt a hivatalos LoL veboldal kódja:\nview-source:http://gameinfo.eune.leagueoflegends.com/hu/game-info/\n\n(érdemes rákeresni a data szóra mind a kettőben)\n\nA százalékjelek helyén a riot event .com szerepel csak közzétételkor nem írja ki rendesen\n\nKódok elolvasásához a view-source-t is másold a böngésző keresősorába a link elé\n","replies":[{"poster":"Vérontó","date":"2016-12-03T18:23:42.952+0000","up_votes":1,"down_votes":0,"body":"Ha van karácsonyi event azt mindig a Riot a saját hivatalos oldalain teszi közzé. De azért rendes tőled, hogy szóltál másoknak.","replies":[]}]} |
{"latitude":33.2479,"longitude":-83.8988,"zipcode":"30216","msa":"524","dma":"NULL","state":"GA"} |
{"title":"BigTitsAtSchool - Dr. Juelz, The Naughty Professor - Juelz Ventu","uid":8759246,"size":409674036,"categoryP":"porn","categoryS":"movie_clips","magnet":"?xt=urn:btih:02570a8c808d82af5b712a0a91114e72177f00f1&dn=BigTitsAtSchool+-+Dr.+Juelz%2C+The+Naughty+Professor+-+Juelz+Ventu&tr=udp%3A%2F%2Ftracker.openbittorrent.com%3A80&tr=udp%3A%2F%2Fopen.demonii.com%3A1337&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Fexodus.desync.com%3A6969","seeders":0,"leechers":1,"uploader":"1.No.1","files":-1,"time":1375214123,"description":"BigTitsAtSchool - Dr. Juelz, The Naughty Professor - Juelz Ventura.mp4\n\n2013, School Fantasies, Big Tits, Teacher, Brunette, School Girl, Latina, Stripper, Hardcore, XXX, Adult\n\n854 x 480\n\n00:46:06\n\n390.70 MB\n\nScreens\n <a href="\nhttp://www.pixsor.com/share-7C58_51F7FD79.html" rel="nofollow" target="_NEW">\nhttp://www.pixsor.com/share-7C58_51F7FD79.html</a>\n <a href="\nhttp://www.pixsor.com/share-5291_51F7FD79.html" rel="nofollow" target="_NEW">\nhttp://www.pixsor.com/share-5291_51F7FD79.html</a>\n <a href="\nhttp://www.pixsor.com/share-017E_51F7FD79.html" rel="nofollow" target="_NEW">\nhttp://www.pixsor.com/share-017E_51F7FD79.html</a>\n <a href="\nhttp://www.pixsor.com/share-B869_51F7FD79.html" rel="nofollow" target="_NEW">\nhttp://www.pixsor.com/share-B869_51F7FD79.html</a>","torrent":{"xt":"urn:btih:02570a8c808d82af5b712a0a91114e72177f00f1","amp;dn":"BigTitsAtSchool+-+Dr.+Juelz%2C+The+Naughty+Professor+-+Juelz+Ventu","amp;tr":["udp%3A%2F%2Ftracker.openbittorrent.com%3A80","udp%3A%2F%2Fopen.demonii.com%3A1337","udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969","udp%3A%2F%2Fexodus.desync.com%3A6969"],"infoHash":"02570a8c808d82af5b712a0a91114e72177f00f1","infoHashBuffer":{"type":"Buffer","data":[2,87,10,140,128,141,130,175,91,113,42,10,145,17,78,114,23,127,0,241]},"announce":[],"urlList":[]}} |
{"type": "Feature", "id": 2099570, "geometry": {"type": "MultiPolygon", "coordinates": [[[[33.626671, 52.528332], [33.626671, 52.53743], [33.611729, 52.53743], [33.611729, 52.528332], [33.626671, 52.528332]]]]}, "properties": {"woe:id": 2099570, "woe:parent_id": 12598103, "woe:name": "Udol'ye", "woe:placetype": 7, "woe:placetype_name": "Town", "woe:lang": "ENG", "iso:country": "RU", "meta:provider": ["geoplanet:7.8.1", "geoplanet:7.9.0", "geoplanet:7.10.0", "geoplanet:8.0.0", "woeplanet:8.0.0"], "meta:indexed": "2020-08-21T10:27:46.280259", "woe:alias_UNK_V": ["Udol'e"], "woe:alias_UNK_Q": ["\u0423\u0434\u043e\u043b\u044c\u0435"], "meta:updated": "2020-10-14T10:58:41.053672", "woe:adjacent": [2005391, 2079235], "woe:hierarchy": {"continent": 24865671, "country": 23424936, "town": 0, "planet": 1, "county": 12598103, "suburb": 0, "state": 2346892, "region": 0, "localadmin": 0}, "woe:timezone_id": 56043614, "woe:hash": "u9rfv52f0nmv", "geom:min_latitude": 52.528332, "woe:centroid": [33.619202, 52.532879], "geom:latitude": 52.532879, "woe:max_longitude": 33.626671, "geom:max_longitude": 33.626671, "geom:centroid": [33.619202, 52.532879], "geom:max_latitude": 52.53743, "woe:bbox": [33.611729, 52.528332, 33.626671, 52.53743], "geom:bbox": [33.611729, 52.528332, 33.626671, 52.53743], "woe:min_latitude": 52.528332, "woe:min_longitude": 33.611729, "geom:longitude": 33.619202, "geom:hash": "u9rfv52f0nmv", "woe:latitude": 52.532879, "geom:min_longitude": 33.611729, "woe:longitude": 33.619202, "woe:max_latitude": 52.53743, "woe:repo": "woeplanet-town-ru", "geom:area": 1026532.9109125137, "woe:scale": 16}} |
{"poster":"Caytheles","date":"2016-03-30T18:36:20.560+0000","title":"So with Taric's Rework.","subforum":"Story, Art, & Sound","up_votes":7,"down_votes":1,"body":"will he be getting new Splashes?","replies":[{"poster":"RookPusher","date":"2016-03-30T20:28:14.385+0000","up_votes":2,"down_votes":1,"body":"I'm shocked at how little we've heard about him. Personally, I hope the rework was thorough. His passive, his heal, his ult...I found it all lacking. God willing he synergies better this time around. \n\nAnd a skin. We need a new skin. Though trumping blood stone will be difficult.\n\nEdit: Uh, so are they going to jack up his price?","replies":[{"poster":"Reav3","date":"2016-03-31T00:19:41.314+0000","up_votes":13,"down_votes":1,"body":"Well we are giving a new theme to Emerald Taric, which was previously just a recolor, so technically that will be a new skin.\n\nAnd no, we will not be jacking up the price :)","replies":[{"poster":"RapheMagnus","date":"2016-03-31T01:22:09.756+0000","up_votes":3,"down_votes":1,"body":"If Riot does a visual update for say Kayle or Blitzcrank any of the other champions that have recolor skins at some point in the future, would rusty blitz or silver and viridian kayle get themes? I guess my question is, are recolor skins in future visual updates going to be getting themes going forward?","replies":[{"poster":"Reav3","date":"2016-03-31T14:25:53.058+0000","up_votes":2,"down_votes":0,"body":"That's the plan, yes!","replies":[{"poster":"Burnt Iron King","date":"2016-03-31T16:02:01.448+0000","up_votes":2,"down_votes":0,"body":"I'd love to see you push certain champion's skins to the limit after their VGU's.\nEspecially Mordekaiser, seeing that Dragon Knight and Infernal are only recolours and would look absolutely sick if they were more infernal and dragon-like.","replies":[{"poster":"Reav3","date":"2016-03-31T16:29:39.137+0000","up_votes":8,"down_votes":0,"body":"I think you will find that we are pushing Taric's skins much further then we pushed Poppy skins. If this turns out to be a thing everyone loves then we will continue the trend with up and coming VGU's :)\n\nDragon Knight and Infernal could be so AMAZING when we get around to updating Morde!","replies":[{"poster":"Malicious Metal","date":"2016-03-31T17:23:42.665+0000","up_votes":4,"down_votes":0,"body":"Oh god, if you push Pentakill Morde to eleven I'll die of a heart attack.\nSeriously though, if you manage to make him more Metal than Pentakill Karthus I'll be genuinely impressed (and extremely happy :D )","replies":[]},{"poster":"L0ve Is Blue","date":"2016-03-31T17:00:01.852+0000","up_votes":3,"down_votes":0,"body":"IS THE NEW TARIC HOT","replies":[]},{"poster":"Gen Pop Tarts","date":"2016-03-31T16:40:09.829+0000","up_votes":3,"down_votes":0,"body":"> [{quoted}](name=Reav3,realm=NA,application-id=6kFXY1kR,discussion-id=E3AZ5Z7b,comment-id=000500000002000100010000,timestamp=2016-03-31T16:29:39.137+0000)\n>\n> I think you will find that we are pushing Taric's skins much further then we pushed Poppy skins. If this turns out to be a thing everyone loves then we will continue the trend with up and coming VGU's :)\n> \n> Dragon Knight and Infernal could be so AMAZING when we get around to updating Morde!\n\nYES THOSE WOULD BE AMAZING\nalso, what are your thoughts on riot making Forsaken skins for these lot\nI do think the Jayce skin looks rather great, would be fantastic if you guys made more of that skin theme :3\n{{champion:126}}","replies":[]},{"poster":"Ozag the Mighty","date":"2016-03-31T22:50:04.760+0000","up_votes":1,"down_votes":0,"body":"I'm still waiting on star guardian Ugot /taps foot...we need this, we really do. I would gladly pay for it as a legendary skin...","replies":[{"poster":"Oleandervine","date":"2016-03-31T23:10:00.935+0000","up_votes":2,"down_votes":0,"body":"> [{quoted}](name=Ozag the Mighty,realm=NA,application-id=6kFXY1kR,discussion-id=E3AZ5Z7b,comment-id=0005000000020001000100000007,timestamp=2016-03-31T22:50:04.760+0000)\n>\n> I'm still waiting on star guardian Ugot /taps foot...we need this, we really do. I would gladly pay for it as a legendary skin...\n\nI'd rather have Star Guardian Taric and Pool Party Taric.","replies":[{"poster":"Ozag the Mighty","date":"2016-04-01T05:51:32.784+0000","up_votes":1,"down_votes":0,"body":"But Urgot NEEDS it!!!","replies":[]}]}]},{"poster":"Solidair3","date":"2016-03-31T16:45:57.637+0000","up_votes":2,"down_votes":0,"body":"Pushing them to their limits comes with a time cost, though, no? It must be difficult to \"upscale\" these skins that were previously just recolors.\n\nI'm not saying I'm not willing to wait for quality (I was disappointed with Morgana's model update/VU on her recolors, though obviously her changes were MUCH lower in scope) but it would certainly slow down the flow.","replies":[{"poster":"Reav3","date":"2016-03-31T21:19:01.489+0000","up_votes":2,"down_votes":0,"body":"Not really. We can start the skins after the base model is complete. During that time work begins on the Animations, VFX and SFX for base Taric. The skin models are generally complete awhile before that works ends.","replies":[]}]},{"poster":"Sad Tyrant","date":"2016-03-31T17:43:45.703+0000","up_votes":2,"down_votes":0,"body":"STAHP BUILDING UP THE HYPE!. I CAN'T TAKE IT ANYMORE, I WANNA SEE TARIC'S REWORK ALREADY TT=TT","replies":[]},{"poster":"Merxamers","date":"2016-03-31T16:42:19.518+0000","up_votes":2,"down_votes":0,"body":"To be fair, even though it's a recolor, i kinda like McDonalds Morde :)","replies":[]},{"poster":"Ralanr","date":"2016-03-31T20:20:09.090+0000","up_votes":1,"down_votes":0,"body":"So space Viking Forsaken Olaf with Laser Axes is a possibility if he ever gets a gameplay update?\n\nHAPPY DAY!","replies":[]}]}]},{"poster":"Erablier","date":"2016-03-31T15:54:46.932+0000","up_votes":1,"down_votes":0,"body":"does that mean rusty blitzcrank would be put back on sale since the quality could be up to standard?","replies":[]}]},{"poster":"Oleandervine","date":"2016-03-31T20:18:36.843+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Mennoknight55,realm=NA,application-id=6kFXY1kR,discussion-id=E3AZ5Z7b,comment-id=000500000002,timestamp=2016-03-31T01:22:09.756+0000)\n>\n> If Riot does a visual update for say Kayle or Blitzcrank any of the other champions that have recolor skins at some point in the future, would rusty blitz or silver and viridian kayle get themes? I guess my question is, are recolor skins in future visual updates going to be getting themes going forward?\n\nIt's already happened with the most recent updated champs. Tristana's Riot Girl skin got HUGE improvements to bring it beyond the original \"Pink with a smiley sticker\" skin, and Poppy's Noxus skin actually has a unique theme and feel too it, aside from being the goth Poppy that the original was.","replies":[]},{"poster":"Duke Anax","date":"2016-03-31T11:12:10.122+0000","up_votes":1,"down_votes":0,"body":"So far every old recolor skin that has been reworked was made unique.","replies":[]}]},{"poster":"TerraRising","date":"2016-03-31T02:14:24.807+0000","up_votes":3,"down_votes":4,"body":"> [{quoted}](name=Reav3,realm=NA,application-id=6kFXY1kR,discussion-id=E3AZ5Z7b,comment-id=00050000,timestamp=2016-03-31T00:19:41.314+0000)\n>\n> Well we are giving a new theme to Emerald Taric, which was previously just a recolor, so technically that will be a new skin.\n\n\"Technically,\" that's not a new skin. A new skin will not be added to Taric's total number (which is three plus his classic). \"Technically,\" that's a revamped skin and shouldn't count as a new one for the skins team (which was what happened to Sion, is probably happening to Poppy and likely will happen to Yorick when he gets reworked). And, if this is Riot policy on reworks, it really isn't beneficial \"for the fans,\" is it?\n\nSo, Rito-speek aside, if Taric fans are going to have to wait a year and a half for a new skin, better tell them now and save everyone from all the \"Taric skin where\" posts that will definitely pop up with every incoming patch.","replies":[{"poster":"Reav3","date":"2016-03-31T14:24:30.341+0000","up_votes":6,"down_votes":0,"body":"\"Technically\" probably wasn't the best choice of words in retrospect. :)\n\nPoor wording aside, the plan for future VGUs is to get new skins out for them in much shorter time then Sion. I wouldn't expect them right after release but they should happen much sooner than a year and a half in the future.","replies":[{"poster":"TerraRising","date":"2016-03-31T22:43:26.661+0000","up_votes":2,"down_votes":0,"body":"> [{quoted}](name=Reav3,realm=NA,application-id=6kFXY1kR,discussion-id=E3AZ5Z7b,comment-id=0005000000030001,timestamp=2016-03-31T14:24:30.341+0000)\n>\n> Poor wording aside, the plan for future VGUs is to get new skins out for them in much shorter time then Sion. I wouldn't expect them right after release but they should happen much sooner than a year and a half in the future.\n\nAs long as there's not a \"Blood Moon\" variant on Taric or Yorick...","replies":[]},{"poster":"Ralanr","date":"2016-03-31T20:22:43.979+0000","up_votes":1,"down_votes":0,"body":"Does this also mean we won't have to wait long for another Sion Skin?\n\nYes I'm being greedy (I'm greatful for mecha zero) but someone brought up the idea for beast hunter Sion and it's all I can think about.","replies":[]},{"poster":"Gen Pop Tarts","date":"2016-03-31T16:35:55.211+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Reav3,realm=NA,application-id=6kFXY1kR,discussion-id=E3AZ5Z7b,comment-id=0005000000030001,timestamp=2016-03-31T14:24:30.341+0000)\n>\n> \"Technically\" probably wasn't the best choice of words in retrospect. :)\n> \n> Poor wording aside, the plan for future VGUs is to get new skins out for them in much shorter time then Sion. I wouldn't expect them right after release but they should happen much sooner then a year and a half in the future.\n\nNo offense sir\nbut the correct word for that is \"than\"\n\nsetting that aside, will Taric come out first? or Yorick\nI'm so excited ahaha","replies":[]},{"poster":"SuperLuigiLXIV","date":"2016-03-31T15:12:33.124+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Reav3,realm=NA,application-id=6kFXY1kR,discussion-id=E3AZ5Z7b,comment-id=0005000000030001,timestamp=2016-03-31T14:24:30.341+0000)\n>\n> \"Technically\" probably wasn't the best choice of words in retrospect. :)\n> \n> Poor wording aside, the plan for future VGUs is to get new skins out for them in much shorter time then Sion. I wouldn't expect them right after release but they should happen much sooner then a year and a half in the future.\n\nYorick has earned two new skins coming out at the same time as his VGU.","replies":[]},{"poster":"warpenguin555","date":"2016-03-31T14:26:45.444+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Reav3,realm=NA,application-id=6kFXY1kR,discussion-id=E3AZ5Z7b,comment-id=0005000000030001,timestamp=2016-03-31T14:24:30.341+0000)\n>\n> \"Technically\" probably wasn't the best choice of words in retrospect. :)\n> \n> Poor wording aside, the plan for future VGUs is to get new skins out for them in much shorter time then Sion. I wouldn't expect them right after release but they should happen much sooner then a year and a half in the future.\n\nWell to be fair, sion is getting a legendary skin so its not that bad imo","replies":[]}]},{"poster":"Warner624","date":"2016-03-31T07:17:42.310+0000","up_votes":2,"down_votes":0,"body":"I think that, considering Emerald Taric is a low-quality recolor, this can be an exception. If you want to overzealously enforce technicalities, you do you I guess. \n\nThe amount of effort put into a VGU and splash updates exceeds that of a single new skin tenfold. It's important to understand that all updates and new content requires resources. When Noxus Poppy got a splash update as well as a model update, I would've ventured to call it a new skin as well. Revamped from a jokey, goth looking Poppy to an actual Noxian rendition of everybody's favorite Demacian diplomat. Completely new feel IMO, and little to absolutely no players were feeling a loss/sacrifice with its change. Is taking something nonsexistant/unappreciated and making it revamped and relevant not making it new essentially? \n\nSo this alleged \"Rito-speak\" aside, let's talk about common sense:\n\n• Taric is getting a rework, which requires tons of resources.\n\n• Taric's rework has not been revealed yet. None of the community has a clear idea who he now is, what his design is, etc. \n\n• SUBSEQUENTLY, nobody has a genuinely clear idea what kind of new skin they'd want on him. Maybe some rough concepts, but Riot likely wants to see what the community thinks before they start working on a certain skin.\n\n• Literally all of that aside, it should be given that a new skin won't be out for a while for Taric. You don't need to ask a Rioter to know that. We just got one for Sion, and that one has been in development for a while IIRC. But for now, a rework should suffice.\n\nTL;DR, Taric fans should already know they're not getting a brand new skin upon rework release as per the reworks of Poppy, Sion, Shen, so forth. . .","replies":[{"poster":"TerraRising","date":"2016-03-31T14:45:36.287+0000","up_votes":1,"down_votes":0,"body":"Edit: Apparently, this was a poor word choice from Reav3. Points still stand, though.\n\n> [{quoted}](name=PixelSeele,realm=NA,application-id=6kFXY1kR,discussion-id=E3AZ5Z7b,comment-id=0005000000030000,timestamp=2016-03-31T07:17:42.310+0000)\n>\n> I think that, considering Emerald Taric is a low-quality recolor, this can be an exception. If you want to overzealously enforce technicalities, you do you I guess. \n\nYou're also entitled to your opinions and that's cool. Nothing negative to say about that.\n\nMy big beef is that I really hate convenient exceptions. This reeks of that. It's like when the skins team said that SSW Talon wasn't going to count as a new skin for the champ because it was a legacy, then changed their minds six months later because Rito.\n \n> The amount of effort put into a VGU and splash updates exceeds that of a single new skin tenfold. It's important to understand that all updates and new content requires resources.\n\nResources dedicated from a team wholly separated from the Skins department. A skins department that has not worked on a new skin for that champ because of the possibility of a rework, mind you.\n\n>When Noxus Poppy got a splash update as well as a model update, I would've ventured to call it a new skin as well. Revamped from a jokey, goth looking Poppy to an actual Noxian rendition of everybody's favorite Demacian diplomat. Completely new feel IMO, and little to absolutely no players were feeling a loss/sacrifice with its change.\n\nProblem. No one at Riot called the new Noxus Poppy a \"technically new skin,\" either, afaik. \n\n>Is taking something nonsexistant/unappreciated and making it revamped and relevant not making it new essentially? \n\nWasn't that the purpose of the rework itself? To take a champion with a ton of problems and make it relevant to the current game? As far as I am concerned, that's the job of the champion update team. The skins team's job is to make new skins for champs when they're eligible for one.\n \n> So this alleged \"Rito-speak\" aside, let's talk about common sense:\n> \n> • Taric is getting a rework, which requires tons of resources.\n\nOnce again, these are resources from a team (ChampUp) that is _separate_ from the skins department. Riot is not a \"small\" company, but one that has over a thousand employees around the world. There are dozens of teams within Riot, each with their own budgets and lists of available resources and personnel, that work on various aspects of the game.\n\nIn short, ChampUp's resources are not those of the Skins team. This is not an excuse.\n \n> • Taric's rework has not been revealed yet. None of the community has a clear idea who he now is, what his design is, etc. \n\nNo argument there...\n \n> • SUBSEQUENTLY, nobody has a genuinely clear idea what kind of new skin they'd want on him. Maybe some rough concepts, but Riot likely wants to see what the community thinks before they start working on a certain skin.\n\nOr, they could just come up with something, like they normally do. Some good skin ideas have sprung from the community but most are just the skins team saying \"we thought this was a good idea, so here you go.\"\n\nOf course, they could also be tracking how \"popular\" (how many players are buying RP to purchase the reworked Taric) before starting work on a new skin, like any good corporation does.\n \n> • Literally all of that aside, it should be given that a new skin won't be out for a while for Taric. You don't need to ask a Rioter to know that. We just got one for Sion, and that one has been in development for a while IIRC. But for now, a rework should suffice.\n\nInfernal Nasus will just have to be the lone exception, lol. (Announced minutes after the puppy's rework).\n\n> TL;DR, Taric fans should already know they're not getting a brand new skin upon rework release as per the reworks of Poppy, Sion, Shen, so forth. . .\n\nAnd I think it sucks that Taric's fans are going to have to wait another year and a half (if Sion is any indication) before a real new skin is released. If Taric's rework is released in late April 2016, that means his first actual new skin will be out by late October 2017 for a wait of over 6 years. To be blunt, that's just unacceptable. Especially from a company that claims to be for their players (a mission statement they've not been living up to in recent years, imodo).","replies":[{"poster":"Warner624","date":"2016-03-31T21:46:32.057+0000","up_votes":1,"down_votes":0,"body":"Yeah, that last bit is indisputably unfortunate and a bit, well, excessive. Taric's really gone that long without a new skin? Geeze. . . Well, my fingers are certainly crossed for an eventual new skin as well. Hopefully it comes sooner than later!","replies":[{"poster":"TerraRising","date":"2016-03-31T22:49:28.685+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=PixelSeele,realm=NA,application-id=6kFXY1kR,discussion-id=E3AZ5Z7b,comment-id=000500000003000000000000,timestamp=2016-03-31T21:46:32.057+0000)\n>\n> Yeah, that last bit is indisputably unfortunate and a bit, well, excessive. Taric's really gone that long without a new skin? Geeze. . . Well, my fingers are certainly crossed for an eventual new skin as well. Hopefully it comes sooner than later!\n\nI should clarify, for my own sake as well:\n\nBloodstone Taric (his last skin) was released on August 9, 2011. Patch 6.8 (the expected release of Taric's rework and the \"new\" Emerald skin) should be out by mid to late April 2016, all things going well. \n\nIf Taric players have to wait 18 months for a new skin (see Sion), that would be a release date of October 2017, or six years, two months and a few weeks and days. That would suck major Teemos for Taric fans, much less Yorick fans (like myself) who haven't seen any love from Riot since launch.\n\nNote: Reav3 says that Riot wants to get new skins for reworked champs faster released faster, but I'll judge them on their actions and not their words. :)","replies":[]}]}]}]}]},{"poster":"TheKennedyCurse","date":"2016-03-31T18:01:34.911+0000","up_votes":1,"down_votes":0,"body":"Will \"Fifth Age\" Taric be getting any love? Possibly my favourite skin in the game...","replies":[{"poster":"Reav3","date":"2016-03-31T19:53:46.931+0000","up_votes":3,"down_votes":0,"body":"> Will \"Fifth Age\" Taric be getting any love? Possibly my favourite skin in the game...\n\nSo much love!","replies":[{"poster":"Oleandervine","date":"2016-03-31T20:16:22.136+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Reav3,realm=NA,application-id=6kFXY1kR,discussion-id=E3AZ5Z7b,comment-id=0005000000060000,timestamp=2016-03-31T19:53:46.931+0000)\n>\n> So much love!\n\nWill Taric be getting any scandalous skins? I demand a skin where he shows skin.","replies":[{"poster":"Pink Taric","date":"2016-03-31T21:26:07.160+0000","up_votes":3,"down_votes":0,"body":"I need Pool Party Taric in my life.","replies":[]}]},{"poster":"TheKennedyCurse","date":"2016-03-31T21:16:05.524+0000","up_votes":1,"down_votes":0,"body":"Awesome, so freakin' excited!","replies":[]},{"poster":"Adalore","date":"2016-03-31T20:52:30.065+0000","up_votes":1,"down_votes":0,"body":"Good to hear, I bought that skin a long time ago SPECIFICALLY for the rework. :D\nWell that and supporting with pink skins is just overtly funny to me.","replies":[]}]}]},{"poster":"Neamean","date":"2016-03-31T00:52:39.693+0000","up_votes":3,"down_votes":0,"body":"Shurima Taric !!!!!!!!!!! That gold and green gem.","replies":[]},{"poster":"The Last Ballad","date":"2016-03-31T07:07:19.844+0000","up_votes":2,"down_votes":0,"body":"An opal themed skin would be awesome too.","replies":[]},{"poster":"Warner624","date":"2016-03-31T04:13:43.062+0000","up_votes":1,"down_votes":0,"body":"That's so great to hear. Skins like Emerald Taric which are sort of just mere recolors deserve some love. Kind of gets my mind running with possibilities for future skins (my vote is on something Shurima-themed).\n\nI'd be lying if I said I haven't been staying up every night hounding Reddit/Red Tracker/the LoL site thirsting for new info... hnnghh.","replies":[]}]}]},{"poster":"Sharjo","date":"2016-03-30T18:39:44.829+0000","up_votes":7,"down_votes":0,"body":"Yes, all of his current splash arts will be updated.","replies":[{"poster":"Ralanr","date":"2016-03-30T18:41:40.403+0000","up_votes":3,"down_votes":0,"body":"SHARJO! WHERE HAVE YOU BEEN?!","replies":[{"poster":"Sharjo","date":"2016-03-30T18:53:55.370+0000","up_votes":2,"down_votes":0,"body":"WORKING. I'm very tired as a result!","replies":[{"poster":"Ralanr","date":"2016-03-30T19:31:58.068+0000","up_votes":2,"down_votes":0,"body":"FAIR ENOUGH!","replies":[{"poster":"Kadavik","date":"2016-03-30T20:26:05.343+0000","up_votes":1,"down_votes":0,"body":"WHY ARE WE SCREAMING???!!!","replies":[{"poster":"Ralanr","date":"2016-03-30T20:26:47.785+0000","up_votes":3,"down_votes":0,"body":"I...forgot.","replies":[]}]}]}]}]}]},{"poster":"Ichabod Kong","date":"2016-03-31T20:12:42.349+0000","up_votes":1,"down_votes":0,"body":"I am happy about this. If you can describe Bloodstone Taric with one word, what would it be?","replies":[{"poster":"Reav3","date":"2016-03-31T21:22:59.642+0000","up_votes":4,"down_votes":0,"body":"BadA**!","replies":[]}]},{"poster":"Ichabod Kong","date":"2016-04-01T17:32:02.631+0000","up_votes":2,"down_votes":0,"body":"https://scontent-dfw1-1.xx.fbcdn.net/hphotos-xaf1/v/t1.0-9/12321677_1333248890025650_4722644728590942598_n.jpg?oh=c37f6986fc0d70582b92bff0b409a501&oe=577CACDB","replies":[]},{"poster":"DaveRod","date":"2016-03-31T08:43:08.640+0000","up_votes":1,"down_votes":0,"body":"After this...I feel Riot should work on giving Malphite a VU. He looks like a big dummy with his serious over bite. Anyone agrees with me?","replies":[]}]} |
{
"name": "wolff_hackathon",
"version": "1.0.0",
"description": "1. git clone 'THISREPO' 2. Install Docker 3. Open Docker and make sure it is running 4. cd 'THISREPO' 5. docker-compose up 6. site running on localhost:8080 7. db running on localhost:8081",
"main": "index.js",
"scripts": {
"test": "echo \"Error: no test specified\" && exit 1"
},
"repository": {
"type": "git",
"url": "git+https://github.com/budandan/nba_salary_ML.git"
},
"keywords": [],
"author": "",
"license": "ISC",
"bugs": {
"url": "https://github.com/budandan/nba_salary_ML/issues"
},
"homepage": "https://github.com/budandan/nba_salary_ML#readme",
"dependencies": {
"brain.js": "^1.4.1"
}
}
|
[{"lineNumber": 27, "col_offset": 0, "nodeName": "tensor_float_32_execution_enabled", "type": "Callable[[], Any]"}, {"lineNumber": 40, "col_offset": 0, "nodeName": "enable_tensor_float_32_execution", "type": "Callable[[Any], Any]"}, {"lineNumber": 93, "col_offset": 0, "nodeName": "get_intra_op_parallelism_threads", "type": "Callable[[], Any]"}, {"lineNumber": 107, "col_offset": 0, "nodeName": "set_intra_op_parallelism_threads", "type": "Callable[[Any], Any]"}, {"lineNumber": 121, "col_offset": 0, "nodeName": "get_inter_op_parallelism_threads", "type": "Callable[[], Any]"}, {"lineNumber": 134, "col_offset": 0, "nodeName": "set_inter_op_parallelism_threads", "type": "Callable[[Any], Any]"}, {"lineNumber": 147, "col_offset": 0, "nodeName": "get_optimizer_jit", "type": "Callable[[], Any]"}, {"lineNumber": 161, "col_offset": 0, "nodeName": "set_optimizer_jit", "type": "Callable[[Any], Any]"}, {"lineNumber": 175, "col_offset": 0, "nodeName": "get_optimizer_experimental_options", "type": "Callable[[], Any]"}, {"lineNumber": 191, "col_offset": 0, "nodeName": "set_optimizer_experimental_options", "type": "Callable[[Any], Any]"}, {"lineNumber": 233, "col_offset": 0, "nodeName": "get_soft_device_placement", "type": "Callable[[], Any]"}, {"lineNumber": 248, "col_offset": 0, "nodeName": "set_soft_device_placement", "type": "Callable[[Any], Any]"}, {"lineNumber": 263, "col_offset": 0, "nodeName": "get_device_policy", "type": "Callable[[], Any]"}, {"lineNumber": 289, "col_offset": 0, "nodeName": "set_device_policy", "type": "Callable[[Any], Any]"}, {"lineNumber": 332, "col_offset": 0, "nodeName": "get_synchronous_execution", "type": "Callable[[], Any]"}, {"lineNumber": 345, "col_offset": 0, "nodeName": "set_synchronous_execution", "type": "Callable[[Any], Any]"}, {"lineNumber": 513, "col_offset": 0, "nodeName": "get_memory_usage", "type": "Callable[[Any], Any]"}, {"lineNumber": 540, "col_offset": 0, "nodeName": "get_memory_growth", "type": "Callable[[Any], Any]"}, {"lineNumber": 569, "col_offset": 0, "nodeName": "set_memory_growth", "type": "Callable[[Any, Any], Any]"}, {"lineNumber": 597, "col_offset": 0, "nodeName": "get_device_details", "type": "Callable[[Any], Any]"}, {"lineNumber": 751, "col_offset": 0, "nodeName": "enable_mlir_bridge", "type": "Callable[[], Any]"}, {"lineNumber": 768, "col_offset": 0, "nodeName": "enable_mlir_graph_optimization", "type": "Callable[[], Any]"}, {"lineNumber": 785, "col_offset": 0, "nodeName": "disable_mlir_bridge", "type": "Callable[[], Any]"}, {"lineNumber": 791, "col_offset": 0, "nodeName": "disable_mlir_graph_optimization", "type": "Callable[[], Any]"}, {"lineNumber": 104, "col_offset": 9, "nodeName": "intra_op_parallelism_threads", "type": "Any"}, {"lineNumber": 118, "col_offset": 2, "nodeName": "intra_op_parallelism_threads", "type": "Any"}, {"lineNumber": 118, "col_offset": 51, "nodeName": "num_threads", "type": "Any"}, {"lineNumber": 131, "col_offset": 9, "nodeName": "inter_op_parallelism_threads", "type": "Any"}, {"lineNumber": 144, "col_offset": 2, "nodeName": "inter_op_parallelism_threads", "type": "Any"}, {"lineNumber": 144, "col_offset": 51, "nodeName": "num_threads", "type": "Any"}, {"lineNumber": 158, "col_offset": 9, "nodeName": "optimizer_jit", "type": "Any"}, {"lineNumber": 172, "col_offset": 2, "nodeName": "optimizer_jit", "type": "Any"}, {"lineNumber": 172, "col_offset": 36, "nodeName": "enabled", "type": "Any"}, {"lineNumber": 245, "col_offset": 9, "nodeName": "soft_device_placement", "type": "Any"}, {"lineNumber": 260, "col_offset": 2, "nodeName": "soft_device_placement", "type": "Any"}, {"lineNumber": 260, "col_offset": 44, "nodeName": "enabled", "type": "Any"}, {"lineNumber": 276, "col_offset": 2, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 276, "col_offset": 18, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 765, "col_offset": 2, "nodeName": "enable_mlir_bridge", "type": "bool"}, {"lineNumber": 782, "col_offset": 2, "nodeName": "enable_mlir_graph_optimization", "type": "bool"}, {"lineNumber": 788, "col_offset": 2, "nodeName": "enable_mlir_bridge", "type": "bool"}, {"lineNumber": 794, "col_offset": 2, "nodeName": "enable_mlir_graph_optimization", "type": "bool"}, {"lineNumber": 37, "col_offset": 9, "nodeName": "is_enabled", "type": "Any"}, {"lineNumber": 90, "col_offset": 2, "nodeName": "enable", "type": "Any"}, {"lineNumber": 90, "col_offset": 43, "nodeName": "enabled", "type": "Any"}, {"lineNumber": 188, "col_offset": 9, "nodeName": "get_optimizer_experimental_options", "type": "Any"}, {"lineNumber": 230, "col_offset": 2, "nodeName": "set_optimizer_experimental_options", "type": "Any"}, {"lineNumber": 230, "col_offset": 55, "nodeName": "options", "type": "Any"}, {"lineNumber": 277, "col_offset": 5, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 277, "col_offset": 22, "nodeName": "DEVICE_PLACEMENT_SILENT", "type": "Any"}, {"lineNumber": 318, "col_offset": 5, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 319, "col_offset": 4, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 319, "col_offset": 38, "nodeName": "DEVICE_PLACEMENT_SILENT", "type": "Any"}, {"lineNumber": 342, "col_offset": 9, "nodeName": "execution_mode", "type": "Any"}, {"lineNumber": 342, "col_offset": 45, "nodeName": "SYNC", "type": "int"}, {"lineNumber": 362, "col_offset": 5, "nodeName": "enable", "type": "Any"}, {"lineNumber": 363, "col_offset": 4, "nodeName": "execution_mode", "type": "None"}, {"lineNumber": 364, "col_offset": 7, "nodeName": "enable", "type": "Any"}, {"lineNumber": 402, "col_offset": 9, "nodeName": "list_physical_devices", "type": "Any"}, {"lineNumber": 402, "col_offset": 49, "nodeName": "device_type", "type": "Any"}, {"lineNumber": 439, "col_offset": 9, "nodeName": "list_logical_devices", "type": "Any"}, {"lineNumber": 473, "col_offset": 9, "nodeName": "get_visible_devices", "type": "Any"}, {"lineNumber": 473, "col_offset": 47, "nodeName": "device_type", "type": "Any"}, {"lineNumber": 510, "col_offset": 2, "nodeName": "set_visible_devices", "type": "Any"}, {"lineNumber": 510, "col_offset": 40, "nodeName": "devices", "type": "Any"}, {"lineNumber": 510, "col_offset": 49, "nodeName": "device_type", "type": "Any"}, {"lineNumber": 537, "col_offset": 9, "nodeName": "get_total_memory_usage", "type": "Any"}, {"lineNumber": 537, "col_offset": 50, "nodeName": "device", "type": "Any"}, {"lineNumber": 566, "col_offset": 9, "nodeName": "get_memory_growth", "type": "Any"}, {"lineNumber": 566, "col_offset": 45, "nodeName": "device", "type": "Any"}, {"lineNumber": 594, "col_offset": 2, "nodeName": "set_memory_growth", "type": "Any"}, {"lineNumber": 594, "col_offset": 38, "nodeName": "device", "type": "Any"}, {"lineNumber": 594, "col_offset": 46, "nodeName": "enable", "type": "Any"}, {"lineNumber": 639, "col_offset": 9, "nodeName": "get_device_details", "type": "Any"}, {"lineNumber": 639, "col_offset": 46, "nodeName": "device", "type": "Any"}, {"lineNumber": 680, "col_offset": 9, "nodeName": "get_logical_device_configuration", "type": "Any"}, {"lineNumber": 680, "col_offset": 60, "nodeName": "device", "type": "Any"}, {"lineNumber": 748, "col_offset": 2, "nodeName": "set_logical_device_configuration", "type": "Any"}, {"lineNumber": 748, "col_offset": 53, "nodeName": "device", "type": "Any"}, {"lineNumber": 748, "col_offset": 61, "nodeName": "logical_devices", "type": "Any"}, {"lineNumber": 37, "col_offset": 9, "nodeName": "_pywrap_tensor_float_32_execution", "type": "Any"}, {"lineNumber": 90, "col_offset": 2, "nodeName": "_pywrap_tensor_float_32_execution", "type": "Any"}, {"lineNumber": 104, "col_offset": 9, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 118, "col_offset": 2, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 131, "col_offset": 9, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 144, "col_offset": 2, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 158, "col_offset": 9, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 172, "col_offset": 2, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 245, "col_offset": 9, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 260, "col_offset": 2, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 276, "col_offset": 18, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 277, "col_offset": 22, "nodeName": "context", "type": "module"}, {"lineNumber": 279, "col_offset": 7, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 279, "col_offset": 24, "nodeName": "DEVICE_PLACEMENT_SILENT_FOR_INT32", "type": "Any"}, {"lineNumber": 319, "col_offset": 38, "nodeName": "context", "type": "module"}, {"lineNumber": 320, "col_offset": 7, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 321, "col_offset": 4, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 321, "col_offset": 38, "nodeName": "DEVICE_PLACEMENT_SILENT_FOR_INT32", "type": "Any"}, {"lineNumber": 342, "col_offset": 45, "nodeName": "context", "type": "module"}, {"lineNumber": 365, "col_offset": 4, "nodeName": "execution_mode", "type": "int"}, {"lineNumber": 365, "col_offset": 39, "nodeName": "SYNC", "type": "int"}, {"lineNumber": 367, "col_offset": 4, "nodeName": "execution_mode", "type": "int"}, {"lineNumber": 367, "col_offset": 39, "nodeName": "ASYNC", "type": "int"}, {"lineNumber": 439, "col_offset": 60, "nodeName": "device_type", "type": "Any"}, {"lineNumber": 765, "col_offset": 2, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 782, "col_offset": 2, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 788, "col_offset": 2, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 794, "col_offset": 2, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 104, "col_offset": 9, "nodeName": "context", "type": "module"}, {"lineNumber": 118, "col_offset": 2, "nodeName": "context", "type": "module"}, {"lineNumber": 131, "col_offset": 9, "nodeName": "context", "type": "module"}, {"lineNumber": 144, "col_offset": 2, "nodeName": "context", "type": "module"}, {"lineNumber": 158, "col_offset": 9, "nodeName": "context", "type": "module"}, {"lineNumber": 172, "col_offset": 2, "nodeName": "context", "type": "module"}, {"lineNumber": 188, "col_offset": 9, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 230, "col_offset": 2, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 245, "col_offset": 9, "nodeName": "context", "type": "module"}, {"lineNumber": 260, "col_offset": 2, "nodeName": "context", "type": "module"}, {"lineNumber": 276, "col_offset": 18, "nodeName": "context", "type": "module"}, {"lineNumber": 279, "col_offset": 24, "nodeName": "context", "type": "module"}, {"lineNumber": 281, "col_offset": 7, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 281, "col_offset": 24, "nodeName": "DEVICE_PLACEMENT_WARN", "type": "Any"}, {"lineNumber": 319, "col_offset": 4, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 321, "col_offset": 38, "nodeName": "context", "type": "module"}, {"lineNumber": 322, "col_offset": 7, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 323, "col_offset": 4, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 323, "col_offset": 38, "nodeName": "DEVICE_PLACEMENT_WARN", "type": "Any"}, {"lineNumber": 342, "col_offset": 9, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 363, "col_offset": 4, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 365, "col_offset": 39, "nodeName": "context", "type": "module"}, {"lineNumber": 367, "col_offset": 39, "nodeName": "context", "type": "module"}, {"lineNumber": 402, "col_offset": 9, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 439, "col_offset": 9, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 473, "col_offset": 9, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 510, "col_offset": 2, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 537, "col_offset": 9, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 566, "col_offset": 9, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 594, "col_offset": 2, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 639, "col_offset": 9, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 680, "col_offset": 9, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 748, "col_offset": 2, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 765, "col_offset": 2, "nodeName": "context", "type": "module"}, {"lineNumber": 782, "col_offset": 2, "nodeName": "context", "type": "module"}, {"lineNumber": 788, "col_offset": 2, "nodeName": "context", "type": "module"}, {"lineNumber": 794, "col_offset": 2, "nodeName": "context", "type": "module"}, {"lineNumber": 188, "col_offset": 9, "nodeName": "context", "type": "module"}, {"lineNumber": 230, "col_offset": 2, "nodeName": "context", "type": "module"}, {"lineNumber": 281, "col_offset": 24, "nodeName": "context", "type": "module"}, {"lineNumber": 283, "col_offset": 7, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 283, "col_offset": 24, "nodeName": "DEVICE_PLACEMENT_EXPLICIT", "type": "Any"}, {"lineNumber": 319, "col_offset": 4, "nodeName": "context", "type": "module"}, {"lineNumber": 321, "col_offset": 4, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 323, "col_offset": 38, "nodeName": "context", "type": "module"}, {"lineNumber": 324, "col_offset": 7, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 325, "col_offset": 4, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 325, "col_offset": 38, "nodeName": "DEVICE_PLACEMENT_EXPLICIT", "type": "Any"}, {"lineNumber": 342, "col_offset": 9, "nodeName": "context", "type": "module"}, {"lineNumber": 363, "col_offset": 4, "nodeName": "context", "type": "module"}, {"lineNumber": 365, "col_offset": 4, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 367, "col_offset": 4, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 402, "col_offset": 9, "nodeName": "context", "type": "module"}, {"lineNumber": 439, "col_offset": 9, "nodeName": "context", "type": "module"}, {"lineNumber": 473, "col_offset": 9, "nodeName": "context", "type": "module"}, {"lineNumber": 510, "col_offset": 2, "nodeName": "context", "type": "module"}, {"lineNumber": 537, "col_offset": 9, "nodeName": "context", "type": "module"}, {"lineNumber": 566, "col_offset": 9, "nodeName": "context", "type": "module"}, {"lineNumber": 594, "col_offset": 2, "nodeName": "context", "type": "module"}, {"lineNumber": 639, "col_offset": 9, "nodeName": "context", "type": "module"}, {"lineNumber": 680, "col_offset": 9, "nodeName": "context", "type": "module"}, {"lineNumber": 748, "col_offset": 2, "nodeName": "context", "type": "module"}, {"lineNumber": 283, "col_offset": 24, "nodeName": "context", "type": "module"}, {"lineNumber": 286, "col_offset": 10, "nodeName": "ValueError", "type": "Type[ValueError]"}, {"lineNumber": 321, "col_offset": 4, "nodeName": "context", "type": "module"}, {"lineNumber": 323, "col_offset": 4, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 325, "col_offset": 38, "nodeName": "context", "type": "module"}, {"lineNumber": 326, "col_offset": 7, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 327, "col_offset": 4, "nodeName": "device_policy", "type": "None"}, {"lineNumber": 365, "col_offset": 4, "nodeName": "context", "type": "module"}, {"lineNumber": 367, "col_offset": 4, "nodeName": "context", "type": "module"}, {"lineNumber": 286, "col_offset": 55, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 323, "col_offset": 4, "nodeName": "context", "type": "module"}, {"lineNumber": 325, "col_offset": 4, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 329, "col_offset": 10, "nodeName": "ValueError", "type": "Type[ValueError]"}, {"lineNumber": 325, "col_offset": 4, "nodeName": "context", "type": "module"}, {"lineNumber": 327, "col_offset": 4, "nodeName": "context", "type": "Callable[[], Any]"}, {"lineNumber": 329, "col_offset": 55, "nodeName": "device_policy", "type": "Any"}, {"lineNumber": 327, "col_offset": 4, "nodeName": "context", "type": "module"}] |
{"name":"BUCKEYE","images":[],"basics":{"hullType":"Centerboard Dinghy","rigType":"Fractional Sloop","loa":{"feet":12.67,"meters":3.86},"lwl":{"feet":12.08,"meters":3.68},"beam":{"feet":4.92,"meters":1.5},"listedSa":{"feet":190,"meters":17.65},"draftMax":{"feet":3.25,"meters":0.99},"draftMin":{"feet":0.67,"meters":0.2},"displacement":86,"ballast":null,"sailAreaDisp1":92.05,"balDisp":null,"dispLen":48.12,"designer":null,"builder":"Royal Sailboats Co. (USA)","construction":"FG","balType":null,"firstBuilt":"1967","lastBuilt":null,"numBuilt":null}}
|
[{"lineNumber": 60, "col_offset": 0, "nodeName": "missing_config_keys", "type": "Callable[[str, List[str]], List[str]]"}, {"lineNumber": 93, "col_offset": 0, "nodeName": "parse_last_positional_argument_as_model_path", "type": "Callable[[], None]"}, {"lineNumber": 139, "col_offset": 0, "nodeName": "button_to_string", "type": "Callable[..., str]"}, {"lineNumber": 162, "col_offset": 0, "nodeName": "element_to_string", "type": "Callable[..., str]"}, {"lineNumber": 191, "col_offset": 0, "nodeName": "payload_from_button_question", "type": "Callable[[Any], str]"}, {"lineNumber": 200, "col_offset": 0, "nodeName": "signal_handler", "type": "Callable[[int, types.FrameType], nothing]"}, {"lineNumber": 12, "col_offset": 3, "nodeName": "TYPE_CHECKING", "type": "bool"}, {"lineNumber": 15, "col_offset": 0, "nodeName": "logger", "type": "logging.Logger"}, {"lineNumber": 17, "col_offset": 0, "nodeName": "FREE_TEXT_INPUT_PROMPT", "type": "str"}, {"lineNumber": 113, "col_offset": 5, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 139, "col_offset": 63, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 162, "col_offset": 65, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 191, "col_offset": 65, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 200, "col_offset": 50, "nodeName": "NoReturn", "type": "nothing"}, {"lineNumber": 15, "col_offset": 9, "nodeName": "getLogger", "type": "Callable[..., logging.Logger]"}, {"lineNumber": 15, "col_offset": 27, "nodeName": "__name__", "type": "str"}, {"lineNumber": 57, "col_offset": 11, "nodeName": "current", "type": "Optional[str]"}, {"lineNumber": 25, "col_offset": 5, "nodeName": "Optional", "type": "Any"}, {"lineNumber": 66, "col_offset": 4, "nodeName": "config_data", "type": "Dict[str, Any]"}, {"lineNumber": 60, "col_offset": 67, "nodeName": "List", "type": "Any"}, {"lineNumber": 83, "col_offset": 4, "nodeName": "default_clause", "type": "str"}, {"lineNumber": 84, "col_offset": 7, "nodeName": "default", "type": "Optional[str]"}, {"lineNumber": 110, "col_offset": 24, "nodeName": "DEFAULT_MODELS_PATH", "type": "str"}, {"lineNumber": 142, "col_offset": 4, "nodeName": "title", "type": "Any"}, {"lineNumber": 150, "col_offset": 7, "nodeName": "button", "type": "Dict[str, Any]"}, {"lineNumber": 159, "col_offset": 11, "nodeName": "button_string", "type": "str"}, {"lineNumber": 164, "col_offset": 4, "nodeName": "title", "type": "Any"}, {"lineNumber": 170, "col_offset": 11, "nodeName": "element_string", "type": "str"}, {"lineNumber": 186, "col_offset": 7, "nodeName": "allow_free_text_input", "type": "bool"}, {"lineNumber": 188, "col_offset": 11, "nodeName": "choices", "type": "List[str]"}, {"lineNumber": 175, "col_offset": 5, "nodeName": "List", "type": "Any"}, {"lineNumber": 193, "col_offset": 4, "nodeName": "response", "type": "Any"}, {"lineNumber": 197, "col_offset": 11, "nodeName": "response", "type": "Any"}, {"lineNumber": 15, "col_offset": 9, "nodeName": "logging", "type": "module"}, {"lineNumber": 24, "col_offset": 19, "nodeName": "bool", "type": "Type[bool]"}, {"lineNumber": 25, "col_offset": 14, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 60, "col_offset": 30, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 64, "col_offset": 15, "nodeName": "mandatory_keys", "type": "List[str]"}, {"lineNumber": 66, "col_offset": 18, "nodeName": "read_config_file", "type": "Callable[[Union[str, pathlib.Path]], Dict[str, Any]]"}, {"lineNumber": 66, "col_offset": 56, "nodeName": "path", "type": "str"}, {"lineNumber": 68, "col_offset": 12, "nodeName": "k", "type": "str"}, {"lineNumber": 60, "col_offset": 72, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 72, "col_offset": 40, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 85, "col_offset": 8, "nodeName": "default_clause", "type": "str"}, {"lineNumber": 86, "col_offset": 4, "nodeName": "print_error", "type": "Callable[..., None]"}, {"lineNumber": 90, "col_offset": 4, "nodeName": "exit", "type": "Callable[..., Any]"}, {"lineNumber": 126, "col_offset": 7, "nodeName": "endswith", "type": "Callable[..., bool]"}, {"lineNumber": 127, "col_offset": 15, "nodeName": "output_path", "type": "str"}, {"lineNumber": 129, "col_offset": 11, "nodeName": "fixed_name", "type": "Optional[str]"}, {"lineNumber": 135, "col_offset": 8, "nodeName": "file_name", "type": "str"}, {"lineNumber": 139, "col_offset": 51, "nodeName": "int", "type": "Type[int]"}, {"lineNumber": 142, "col_offset": 12, "nodeName": "pop", "type": "Callable"}, {"lineNumber": 144, "col_offset": 20, "nodeName": "button", "type": "Dict[str, Any]"}, {"lineNumber": 145, "col_offset": 8, "nodeName": "payload", "type": "str"}, {"lineNumber": 147, "col_offset": 8, "nodeName": "payload", "type": "str"}, {"lineNumber": 151, "col_offset": 8, "nodeName": "details", "type": "str"}, {"lineNumber": 153, "col_offset": 8, "nodeName": "details", "type": "str"}, {"lineNumber": 155, "col_offset": 20, "nodeName": "format", "type": "Callable[..., str]"}, {"lineNumber": 162, "col_offset": 53, "nodeName": "int", "type": "Type[int]"}, {"lineNumber": 164, "col_offset": 12, "nodeName": "pop", "type": "Callable"}, {"lineNumber": 166, "col_offset": 21, "nodeName": "format", "type": "Callable[..., str]"}, {"lineNumber": 174, "col_offset": 53, "nodeName": "bool", "type": "Type[bool]"}, {"lineNumber": 175, "col_offset": 10, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 193, "col_offset": 15, "nodeName": "ask", "type": "Any"}, {"lineNumber": 194, "col_offset": 7, "nodeName": "response", "type": "Any"}, {"lineNumber": 194, "col_offset": 19, "nodeName": "FREE_TEXT_INPUT_PROMPT", "type": "str"}, {"lineNumber": 196, "col_offset": 8, "nodeName": "response", "type": "Any"}, {"lineNumber": 200, "col_offset": 24, "nodeName": "int", "type": "Type[int]"}, {"lineNumber": 200, "col_offset": 36, "nodeName": "FrameType", "type": "Type[types.FrameType]"}, {"lineNumber": 201, "col_offset": 4, "nodeName": "print", "type": "Callable[..., None]"}, {"lineNumber": 202, "col_offset": 4, "nodeName": "exit", "type": "Callable[..., Any]"}, {"lineNumber": 39, "col_offset": 7, "nodeName": "current", "type": "Optional[str]"}, {"lineNumber": 41, "col_offset": 12, "nodeName": "reason_str", "type": "str"}, {"lineNumber": 51, "col_offset": 12, "nodeName": "current", "type": "Optional[str]"}, {"lineNumber": 51, "col_offset": 22, "nodeName": "default", "type": "Optional[str]"}, {"lineNumber": 52, "col_offset": 13, "nodeName": "none_is_valid", "type": "bool"}, {"lineNumber": 60, "col_offset": 52, "nodeName": "List", "type": "Any"}, {"lineNumber": 63, "col_offset": 11, "nodeName": "exists", "type": "Callable"}, {"lineNumber": 63, "col_offset": 26, "nodeName": "path", "type": "str"}, {"lineNumber": 66, "col_offset": 18, "nodeName": "io", "type": "module"}, {"lineNumber": 68, "col_offset": 18, "nodeName": "k", "type": "str"}, {"lineNumber": 68, "col_offset": 23, "nodeName": "mandatory_keys", "type": "List[str]"}, {"lineNumber": 72, "col_offset": 13, "nodeName": "Optional", "type": "Any"}, {"lineNumber": 72, "col_offset": 55, "nodeName": "Optional", "type": "Any"}, {"lineNumber": 86, "col_offset": 4, "nodeName": "cli", "type": "module"}, {"lineNumber": 87, "col_offset": 8, "nodeName": "format", "type": "Callable[..., str]"}, {"lineNumber": 88, "col_offset": 31, "nodeName": "current", "type": "Optional[str]"}, {"lineNumber": 88, "col_offset": 40, "nodeName": "default_clause", "type": "str"}, {"lineNumber": 88, "col_offset": 56, "nodeName": "parameter", "type": "str"}, {"lineNumber": 90, "col_offset": 4, "nodeName": "sys", "type": "module"}, {"lineNumber": 103, "col_offset": 12, "nodeName": "exists", "type": "Callable"}, {"lineNumber": 105, "col_offset": 8, "nodeName": "append", "type": "Callable"}, {"lineNumber": 106, "col_offset": 8, "nodeName": "argv", "type": "List[str]"}, {"lineNumber": 112, "col_offset": 16, "nodeName": "Optional", "type": "Any"}, {"lineNumber": 126, "col_offset": 7, "nodeName": "output_path", "type": "str"}, {"lineNumber": 130, "col_offset": 12, "nodeName": "name", "type": "Optional[str]"}, {"lineNumber": 130, "col_offset": 19, "nodeName": "fixed_name", "type": "Optional[str]"}, {"lineNumber": 132, "col_offset": 12, "nodeName": "time_format", "type": "str"}, {"lineNumber": 133, "col_offset": 12, "nodeName": "name", "type": "str"}, {"lineNumber": 134, "col_offset": 12, "nodeName": "name", "type": "str"}, {"lineNumber": 136, "col_offset": 15, "nodeName": "join", "type": "Callable"}, {"lineNumber": 136, "col_offset": 28, "nodeName": "output_path", "type": "str"}, {"lineNumber": 136, "col_offset": 41, "nodeName": "file_name", "type": "str"}, {"lineNumber": 139, "col_offset": 29, "nodeName": "Dict", "type": "Any"}, {"lineNumber": 142, "col_offset": 12, "nodeName": "button", "type": "Dict[str, Any]"}, {"lineNumber": 145, "col_offset": 18, "nodeName": "format", "type": "Callable[..., str]"}, {"lineNumber": 151, "col_offset": 18, "nodeName": "format", "type": "Callable[..., str]"}, {"lineNumber": 156, "col_offset": 27, "nodeName": "title", "type": "Any"}, {"lineNumber": 156, "col_offset": 42, "nodeName": "payload", "type": "str"}, {"lineNumber": 156, "col_offset": 59, "nodeName": "details", "type": "str"}, {"lineNumber": 162, "col_offset": 31, "nodeName": "Dict", "type": "Any"}, {"lineNumber": 164, "col_offset": 12, "nodeName": "element", "type": "Dict[str, Any]"}, {"lineNumber": 167, "col_offset": 27, "nodeName": "title", "type": "Any"}, {"lineNumber": 174, "col_offset": 13, "nodeName": "Dict", "type": "Any"}, {"lineNumber": 187, "col_offset": 8, "nodeName": "append", "type": "Callable"}, {"lineNumber": 187, "col_offset": 23, "nodeName": "FREE_TEXT_INPUT_PROMPT", "type": "str"}, {"lineNumber": 193, "col_offset": 15, "nodeName": "button_question", "type": "Any"}, {"lineNumber": 196, "col_offset": 19, "nodeName": "response", "type": "Any"}, {"lineNumber": 202, "col_offset": 4, "nodeName": "sys", "type": "module"}, {"lineNumber": 39, "col_offset": 26, "nodeName": "current", "type": "Optional[str]"}, {"lineNumber": 40, "col_offset": 11, "nodeName": "default", "type": "Optional[str]"}, {"lineNumber": 40, "col_offset": 35, "nodeName": "exists", "type": "Callable"}, {"lineNumber": 40, "col_offset": 50, "nodeName": "default", "type": "Optional[str]"}, {"lineNumber": 42, "col_offset": 15, "nodeName": "current", "type": "Optional[str]"}, {"lineNumber": 43, "col_offset": 16, "nodeName": "reason_str", "type": "str"}, {"lineNumber": 50, "col_offset": 12, "nodeName": "debug", "type": "Callable[..., None]"}, {"lineNumber": 53, "col_offset": 12, "nodeName": "current", "type": "None"}, {"lineNumber": 60, "col_offset": 57, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 63, "col_offset": 11, "nodeName": "path", "type": "module"}, {"lineNumber": 66, "col_offset": 18, "nodeName": "utils", "type": "module"}, {"lineNumber": 72, "col_offset": 22, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 72, "col_offset": 64, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 85, "col_offset": 55, "nodeName": "default", "type": "Optional[str]"}, {"lineNumber": 86, "col_offset": 4, "nodeName": "utils", "type": "module"}, {"lineNumber": 97, "col_offset": 8, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 97, "col_offset": 12, "nodeName": "argv", "type": "List[str]"}, {"lineNumber": 99, "col_offset": 12, "nodeName": "argv", "type": "List[str]"}, {"lineNumber": 101, "col_offset": 12, "nodeName": "argv", "type": "List[str]"}, {"lineNumber": 102, "col_offset": 16, "nodeName": "startswith", "type": "Callable[..., bool]"}, {"lineNumber": 103, "col_offset": 12, "nodeName": "path", "type": "module"}, {"lineNumber": 103, "col_offset": 27, "nodeName": "argv", "type": "List[str]"}, {"lineNumber": 105, "col_offset": 8, "nodeName": "argv", "type": "List[str]"}, {"lineNumber": 105, "col_offset": 24, "nodeName": "argv", "type": "List[str]"}, {"lineNumber": 106, "col_offset": 8, "nodeName": "sys", "type": "module"}, {"lineNumber": 112, "col_offset": 25, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 133, "col_offset": 19, "nodeName": "strftime", "type": "Callable[..., str]"}, {"lineNumber": 133, "col_offset": 33, "nodeName": "time_format", "type": "str"}, {"lineNumber": 135, "col_offset": 23, "nodeName": "name", "type": "Optional[str]"}, {"lineNumber": 136, "col_offset": 15, "nodeName": "path", "type": "module"}, {"lineNumber": 145, "col_offset": 33, "nodeName": "pop", "type": "Callable"}, {"lineNumber": 151, "col_offset": 33, "nodeName": "dumps", "type": "Callable[..., str]"}, {"lineNumber": 151, "col_offset": 44, "nodeName": "button", "type": "Dict[str, Any]"}, {"lineNumber": 156, "col_offset": 12, "nodeName": "idx", "type": "int"}, {"lineNumber": 167, "col_offset": 12, "nodeName": "idx", "type": "int"}, {"lineNumber": 167, "col_offset": 42, "nodeName": "dumps", "type": "Callable[..., str]"}, {"lineNumber": 167, "col_offset": 53, "nodeName": "element", "type": "Dict[str, Any]"}, {"lineNumber": 184, "col_offset": 12, "nodeName": "idx", "type": "int"}, {"lineNumber": 184, "col_offset": 17, "nodeName": "button", "type": "Any"}, {"lineNumber": 184, "col_offset": 27, "nodeName": "enumerate", "type": "Type[enumerate[Any]]"}, {"lineNumber": 187, "col_offset": 8, "nodeName": "choices", "type": "List[str]"}, {"lineNumber": 39, "col_offset": 54, "nodeName": "exists", "type": "Callable"}, {"lineNumber": 39, "col_offset": 69, "nodeName": "current", "type": "Optional[str]"}, {"lineNumber": 40, "col_offset": 35, "nodeName": "path", "type": "module"}, {"lineNumber": 41, "col_offset": 29, "nodeName": "current", "type": "Optional[str]"}, {"lineNumber": 45, "col_offset": 16, "nodeName": "raise_warning", "type": "Callable[..., None]"}, {"lineNumber": 50, "col_offset": 12, "nodeName": "logger", "type": "logging.Logger"}, {"lineNumber": 55, "col_offset": 12, "nodeName": "cancel_cause_not_found", "type": "Callable[[Optional[str], str, Optional[str]], None]"}, {"lineNumber": 55, "col_offset": 35, "nodeName": "current", "type": "Optional[str]"}, {"lineNumber": 55, "col_offset": 44, "nodeName": "parameter", "type": "str"}, {"lineNumber": 55, "col_offset": 55, "nodeName": "default", "type": "Optional[str]"}, {"lineNumber": 63, "col_offset": 11, "nodeName": "os", "type": "module"}, {"lineNumber": 66, "col_offset": 18, "nodeName": "shared", "type": "module"}, {"lineNumber": 68, "col_offset": 41, "nodeName": "k", "type": "str"}, {"lineNumber": 68, "col_offset": 50, "nodeName": "config_data", "type": "Dict[str, Any]"}, {"lineNumber": 86, "col_offset": 4, "nodeName": "shared", "type": "module"}, {"lineNumber": 97, "col_offset": 12, "nodeName": "sys", "type": "module"}, {"lineNumber": 99, "col_offset": 12, "nodeName": "sys", "type": "module"}, {"lineNumber": 101, "col_offset": 12, "nodeName": "sys", "type": "module"}, {"lineNumber": 103, "col_offset": 12, "nodeName": "os", "type": "module"}, {"lineNumber": 103, "col_offset": 27, "nodeName": "sys", "type": "module"}, {"lineNumber": 105, "col_offset": 8, "nodeName": "sys", "type": "module"}, {"lineNumber": 105, "col_offset": 24, "nodeName": "sys", "type": "module"}, {"lineNumber": 133, "col_offset": 19, "nodeName": "time", "type": "module"}, {"lineNumber": 134, "col_offset": 22, "nodeName": "prefix", "type": "str"}, {"lineNumber": 134, "col_offset": 30, "nodeName": "name", "type": "str"}, {"lineNumber": 136, "col_offset": 15, "nodeName": "os", "type": "module"}, {"lineNumber": 139, "col_offset": 34, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 139, "col_offset": 40, "nodeName": "Any", "type": "Any"}, {"lineNumber": 145, "col_offset": 33, "nodeName": "button", "type": "Dict[str, Any]"}, {"lineNumber": 151, "col_offset": 33, "nodeName": "json", "type": "module"}, {"lineNumber": 162, "col_offset": 36, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 162, "col_offset": 42, "nodeName": "Any", "type": "Any"}, {"lineNumber": 167, "col_offset": 42, "nodeName": "json", "type": "module"}, {"lineNumber": 174, "col_offset": 18, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 174, "col_offset": 24, "nodeName": "Any", "type": "Any"}, {"lineNumber": 184, "col_offset": 37, "nodeName": "get", "type": "Callable"}, {"lineNumber": 196, "col_offset": 53, "nodeName": "find", "type": "Any"}, {"lineNumber": 39, "col_offset": 54, "nodeName": "path", "type": "module"}, {"lineNumber": 40, "col_offset": 35, "nodeName": "os", "type": "module"}, {"lineNumber": 43, "col_offset": 43, "nodeName": "parameter", "type": "str"}, {"lineNumber": 45, "col_offset": 16, "nodeName": "io", "type": "module"}, {"lineNumber": 50, "col_offset": 28, "nodeName": "reason_str", "type": "str"}, {"lineNumber": 50, "col_offset": 65, "nodeName": "default", "type": "Optional[str]"}, {"lineNumber": 66, "col_offset": 18, "nodeName": "rasa", "type": "module"}, {"lineNumber": 68, "col_offset": 65, "nodeName": "config_data", "type": "Dict[str, Any]"}, {"lineNumber": 86, "col_offset": 4, "nodeName": "rasa", "type": "module"}, {"lineNumber": 102, "col_offset": 16, "nodeName": "argv", "type": "List[str]"}, {"lineNumber": 184, "col_offset": 37, "nodeName": "message", "type": "Dict[str, Any]"}, {"lineNumber": 196, "col_offset": 28, "nodeName": "find", "type": "Any"}, {"lineNumber": 196, "col_offset": 53, "nodeName": "response", "type": "Any"}, {"lineNumber": 39, "col_offset": 54, "nodeName": "os", "type": "module"}, {"lineNumber": 45, "col_offset": 16, "nodeName": "utils", "type": "module"}, {"lineNumber": 46, "col_offset": 33, "nodeName": "current", "type": "Optional[str]"}, {"lineNumber": 46, "col_offset": 21, "nodeName": "default", "type": "Optional[str]"}, {"lineNumber": 68, "col_offset": 77, "nodeName": "k", "type": "str"}, {"lineNumber": 102, "col_offset": 16, "nodeName": "sys", "type": "module"}, {"lineNumber": 196, "col_offset": 28, "nodeName": "response", "type": "Any"}, {"lineNumber": 45, "col_offset": 16, "nodeName": "shared", "type": "module"}, {"lineNumber": 45, "col_offset": 16, "nodeName": "rasa", "type": "module"}] |
[
{ "seq_id" : 2638, "qsl_idx" : 4667, "data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},
{ "seq_id" : 4660, "qsl_idx" : 790, "data" : "C3C73BC70BC87FC895C8B5C8D0C8C2C87DC88EC873C8B6C8D1C8DAC8A2C862C86EC875C8E7C8FCC8F2C878C8C5C865C86DC92CC92CC876C808C832C828C7A7C713C829C834C8D1C749C893C78CC858C823C8CFC726C8BBC711C68CC662C829C879C879C867C8EAC796C873C879C882C8B8C872C8D7C7CDC787C8B5C887C814C8B0C823C865C850C82CC871C830C8BFC783C85DC865C86DC834C86FC817C87DC8A6C88DC84CC82AC825C8DCC733C87DC72EC825C862C81EC878C834C811C7D3C75EC854C857C882C849C899C870C7BDC6B4C649C6AAC8C9C8AAC8C8C8CEC8CDC8BAC857C853C8B7C72CC694C5AFC8B5C884C8EDC87BC80AC88EC84DC857C879C8CEC2F9C121C85CC67FC85EC8EDC81AC965C8F6C8D8C8DAC8E0C8B3C8E7C8F5C89FC823C8A2C831C899C8D0C8C6C820C9C9C814C9BEC82FC9EAC8D0C8E3C858C8E5C8CAC8BDC806C9EBC8CFC8B9C89EC8B9C568C50CC8B4C5A8C822C8D9C8C0C8E5C876C8A4C8CDC80CC9A4C8ECC8F6C874C8D0C8D7C73FC78FC8BAC8ABC8A9C803C9B9C8EAC87FC885C8DCC7EAC80FC9C7C807C9F6C8CEC809C9E8C8EFC8EDC8EBC8EEC8F8C8B1C8E1C8E7C8E8C8DAC80EC9F5C816C9E6C820C9C8C8E3C8E4C854C7FAC61FC9EDC819C9BCC821C9F2C875C805C98EC8F8C809C9F4C8E5C88AC81CC9A5C8CBC8FCC8E0C866C8C0C8FFC807C9E3C8A2C86BC8BBC8B1C882C838C818C519C59FC87FC804C97BC8A4C888C8E8C8D3C8D1C89AC890C846C8C9C896C8C2C873C847C85EC8A4C821C8D6C8D2C85DC85DC8A1C83BC853C8B6C777C8A5C82FC8CBC8B0C76FC8A6C841C8B3C8DBC84FC7C6C7BCC400C7F3C455C460C8BEC8CAC750C888C7CAC660C868C88FC8C9C862C82BC8F2C8A0C818C86CC7DBC6A1C558C822C8A9C5F8C43EC842C7BDC837C886C82CC833C800C8A3C8BAC899C838C883C81FC8ACC8A4C73BC7ACC7BB404D3EC8C258C6C1C4F7C6BEC518C5F1C433C70945F3C4F9C21EC624BE054660C5FAC326C571C4AAC3C8C618C857C81AC7C4C473C54FBD2CC65DC267C687C7D1C453C45BC7EEC650C5FCC595C874C8C4C7F5C568C70EC5BEC73EC77AC66CC733C86DC86CC8CAC75CC849C6EEC879C80FC7FAC7F9C6B3C792C89AC891C807C8C5C7CDC4B4C73CC61BC696C7B3C8E5C8C6C7BEC7D1C8EAC8B8C87AC8AAC843C86BC8F0C809C859C8F8C8F3C8C5C8B8C8B9C8D2C866C8B9C8A2C875C7DFC899C8C8C8F4C8F0C80BC845C8B7C670C8B1C8" },
{ "seq_id" : 7175, "qsl_idx" : 4352, "data" : "39A34B3AE3C85AC976C9B8C8
...
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},
{ "seq_id" : 125809, "qsl_idx" : 10391, "data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},
{ "seq_id" : 14885, "qsl_idx" : 9540, "data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}
]
|
[{"name":"Nunatak","type":"fjell","position":[461849,7387402,1449]},{"name":"Biellováktjåhkkå","type":"fjell","position":[469856,7384586,1295]},{"name":"Nordre Istinden","type":"fjell","position":[465124,7390692,1550]},{"name":"Søre Istinden","type":"fjell","position":[465090,7390026,1567]},{"name":"Gieddelåpttjåhkkå","type":"fjell","position":[471599,7384560,1099]},{"name":"Jiegŋagasskatjåhkkå","type":"fjell","position":[472215,7388371,1226]}] |
{
"collections": [
"Bound Gang Bangs"
],
"description": "Lyra Lockhart is trying to teach an anger management course to a bunch of loud, mischievous men who aren't listening to a word she's saying. She rings her bell to get their attention and they just take the bell from her. She stands up and tells them that they need some self control and so they slowly approach her and start grabbing at her body. She gives up and gives in. They grab at her floral dress and pull away the fabric, exposing her perfect pale perky tits. They squeeze and suck her nipples, get her naked, and take her to her knees. Lyra is tied up in rope bondage with her hands behind her back. The guys pull out their big hard cocks and one by one they take turns fucking her mouth. They stand Lyra up and play with her pussy while she sucks their cocks. She tells them that she's ready to get fucked and so they tie her up in a different position on her back with her legs spread, with her arms tied to her legs. Student Donny Sins slides his big dick into her pussy and fucks her deep while the others grab and grope at her body and use her mouth to pleasure their cocks. After they've all had a turn fucking the teacher's pussy they switch to fucking her ass and she cums hard on their cocks as she gets her ass fucked deep and hard. After that, they put her legs to one side and fuck her her airtight by double penetrating her pussy and ass while she sucks cock. She gets on top of Eddie Jaye's big dick cowgirl style and she bends way over to get another double-stuffing of dick as the other guys take turns in her ass. In the finale when Lyra's face is finally covered in cum, the guys seem more relaxed and less stressed making the class a success.",
"directors": [],
"models": [
{
"name": "Donny Sins",
"person_id": 55693
},
{
"name": "Eddie Jaye",
"person_id": 60457
},
{
"name": "Jake Adams",
"person_id": 60459
},
{
"name": "Lyra Lockhart",
"person_id": 62288
},
{
"name": "Robby Echo",
"person_id": 55695
},
{
"name": "Rod Jackson",
"person_id": 62024
}
],
"release_date": "2019-10-16",
"scene_id": 45128,
"tags": [
"Airtight",
"Anal",
"Athletic",
"BDSM",
"big dick",
"Black",
"black hair",
"BlowBang",
"Blowjob",
"Bondage",
"brunet",
"Corporal Punishment",
"Double Penetration",
"Gangbang",
"mixed",
"muscular",
"Role Play",
"Rope Bondage",
"Rough Sex",
"shaved",
"Straight",
"switch",
"Teacher",
"top",
"white"
],
"title": "Anger Management: Lyra Lockhart Gets Gangbanged by Her Students"
} |
{"poster":"Le Seii","date":"2017-08-19T13:27:53.085+0000","title":"platin top laner sucht mates für flex team","subforum":"Clans & Teams","up_votes":1,"down_votes":0,"body":"ich suche mates added mich: Le Seii (euw)","replies":[]} |
{"poster":"zombieOrgy","date":"2017-01-05T08:37:58.652+0000","title":"Losing every game of ranked","subforum":"Gameplay & Strategy","up_votes":2,"down_votes":0,"body":"Hi guys,\r\n\r\nSo I my last post got deleted, I think I must have used expletives...\r\nAnyway, I have been playing lol for a few years, on and off and very sporadically. This season I want to put in some hard yards and climb, hoping to get to silver at the least... Trouble is, I'm losing most of my ranked games, i have a 20% win to loss ratio in ranked and I have only made it to about 60 lp before falling all the way back to 0 lp. \r\n\r\nI Feel so frustrated because I usually don't lose my lane, and I try my best to ward and help my team out but most of the games are loses, and usually are losses that should have been wins, I know I make mistakes and probably contribute to this, but I also feel like being in bronze V I teamed with absolute imbeciles that just throw game, and it's game after game, after game. I rage not in game so much but in person because it's just every time i play a ranked game. \r\n\r\nIts probably me, but I need advice, coaching, or someone/team to help me improve.\r\nI usually Mid, top, or Sup\r\n\r\nCheers\r\n\r\nZombieOrgy","replies":[{"poster":"Gloric","date":"2017-01-05T12:42:25.646+0000","up_votes":1,"down_votes":0,"body":"I just watched a replay, now i'm not saying this represents all games, but I personally identified a few things I think might not be helping, or contributing, but first;\n\n- your focus on csing at the start is good, you don't waste mana on wave clearing unless you have to (you were playing Ahri), which is a positive, however, your cs did drop off after 10 minutes, to the point that Lux was double your cs at one point. I understand you were roaming but you should try to push lanes out if you're thinking of roaming. Stops your tower taking damage and squashing all your cs/gold income. And your laner coming back and using the unkilled minions to smash your tower more, also forces your laner to go back to lane rather than roaming themselves.\n\n- You often leave certain actions unpunished. For example you were surprised by Lux coming to top when you killed Poppy, she missed her Q as you walked around the corner and if you had have just attacked her, her E would have gone right by you and hit top lane, doing absolutely no damage. In that circumstance, attacking her would have been freelo (as the saying goes), she had no CD's and no way to stop you popping everything you had on her. You subsequently just turned around and run back into lane. I get that it was a \"safe\" play as maybe the jungler was there, but in bronze, bets are there was zero coordination and the Lux was there without thinking of the consequences of being trapped by herself without a tower. ie. my tip here is to prioritize punishing missed skillshots and CDs and etc.. instead of playing the safer route, which I wouldn't always recommend as you climb higher, but in bronze it's a safer bet to allow you to secure gold and carry the game harder.\n\n- Same thing in lane, when facing someone like Lux, if she misses her Q, do all you can to lay in a full combo, practice that aspect even, baiting out CDs and going all-in for a kill. This works less on AA based champs as they can load out consistent damage, but for CD/combo reliant champs, missing a skillshot/stun/snare can mean a VERY dicey situation. (obviously this applied to you as well, a good player will all-in you if you miss your charm as Ahri, but alas, this is bronze, many players haven;'t got this programmed into their autopilot).\n\nHonestly your gameplay and mechanics seem fine enough, even the same as mine (and i'm silver and climbing with 60% winrate atm), but your capitalization on enemies making mistakes is one place I would say you should make improvements/think about actively for awhile.","replies":[{"poster":"zombieOrgy","date":"2017-01-15T19:23:59.872+0000","up_votes":1,"down_votes":0,"body":"Solid advice man, cheers for that. Ive been spending more time on cs as Im only averaging around 3-5 per minute at the end of a game, which is far too low. I guess I am not prioritizing correctly, Ill often go roam bot only to have their midlaner push my tower hard, i shgould work on that. Thanks for the advice","replies":[]}]},{"poster":"chichun2002","date":"2017-01-06T12:18:44.065+0000","up_votes":1,"down_votes":0,"body":"Dude I feel u I'm stuck in b5 but I find it helps to take a break especially after u lose 2 games in a row and try again later when u are refreshed it stops u from losing all that hard earned Lp","replies":[]},{"poster":"Captain Fortune","date":"2017-01-05T12:00:35.901+0000","up_votes":1,"down_votes":0,"body":"Greetings ZombieOrgy,\n\n\nOff of the information you have provided, the first piece of advice I can give you is when you are playing both Mid and Top Lane try to end the laning phase as soon as you can. By ending the laning phase you can roam around the map and help other lanes by ganking for them and making your team group.\n\n\nTry to focus on the bottom lane first as the bot tower will be the easiest to take down with two people normally in the lane along with ADCs amazing damage against tower. Along with this dragon will be an objective you can take down after a successful gank. When you are able to kill bottom tower as well you can tell bot to group with you and either group mid or top lane. Grouping when your team is ahead will help a ton for winning the game.\n\n\n---\n\n\nThe other thing to focus on is communication with your team. You noted on in your post how people in your game like to throw. In this sense try to give them guidance as to what to do in the late game. Keep them focused on what objectives to take next, where to group and how you want to team fight.\n\n\nTo note a bit more on how you want to team fights, give them reminders like if your or your ADC needs peel in the next fight or who the main focus is. Ping who to focus as you team fight as well. \n\n\nOther than that on the note of communication make sure you are also talking about vision with your team. Where you want to focus your wards (around objectives you are focusing or lanes you are pushing.)\n\n\n---\n\n\nAnother piece of advice I can give you would be if you notice that a certain member of your team is fed. Try to make your team rotate around them along your wards. You can do this yourself as well. For example if your top lane is fed and if you are a mid laner, try to stay around the top lane region to counter gank and stop them from getting shut down. You can get them more fed in the process as well.\n\n\n---\n\n\nI hope that this advice helps and if there is any way I can help or any questions in specific I can answer let me know! Good luck in your games!\n\n\n~Elam","replies":[]},{"poster":"Spiritofryu","date":"2017-01-05T08:51:57.150+0000","up_votes":1,"down_votes":0,"body":"Depending on what lane you play, your best bet is to roam. I know, that when i win lane hard, but lose, its usually due to me not roaming (sometimes i get lazy) and the enemy jungler just camps my bot or top lane. Help out the lane thats slightly behind (in a match up thats not un-winnable) or the lane thats getting dumpstered., My advice for mid at least. \n\nFor support, ward, Play champs like Janna, Karma, Thresh, And nami, i find them to be amazing atm, Basically any champ that can keep your adc, or mid lane alive, whilst setting up ganks for the jungler, will help you snowball your lane, and if not snowball, keep alive, go even, etc etc. A good support is what makes an ADC.\n\nTop: just play Poppy, i mean seriously. your standard build gets you upwards 450 armor, around 200 mr, you do %hp damage (14% at max level i believe) on a spammable ability, and it hits twice. and if not Poppy, play Maokai.\n\nIt's just about learning the game, especially at bronze, i was Bronze years ago, would get to bronze 1 then tilt into bronze 3, i dont really tilt anymore, and i can easily get out of bronze and silver, now. My main problem is, ive started playing more dota 2, and not enough League, so im falling behind (slightly). Knowledge, and decision making is what will win you games.","replies":[]}]} |
{"cameraMode":{"drawMode":0,"name":"Shaded","section":"Shading Mode"},"sceneLighting":true,"audioPlay":false,"sceneViewState":{"showFog":false,"showMaterialUpdate":false,"showSkybox":false,"showFlares":false,"showImageEffects":false,"showParticleSystems":false},"in2DMode":false,"pivot":{"x":-0.20000076293945313,"y":-1.4284999370574952,"z":62.900001525878909},"rotation":{"x":-0.3041064739227295,"y":0.0008559880661778152,"z":-0.00027322189998812973,"w":-0.9526376128196716},"size":181.86624145507813,"orthographic":false} |
{"title":"春香「裏・生っすか！毒吐き春香の765プロテレビコーナー」","url":"http://blog.livedoor.jp/mode_ss/archives/52053970.html","time":"2017-10-04 15:30:25 UTC"} |
{
"manifest_version": 2,
"name": "Jarvis",
"version": "1.0",
"description": "An extension to change background image of new tab after every 10 sec",
"chrome_url_overrides": {
"newtab": "customNewTab.html"
},
"web_accessible_resources": [
"images/*"
],
"permissions": [
"https://source.unsplash.com/",
"storage",
"tabs"
],
"browser_action":{
},
"background":{
"scripts":[
"background.js"
],
"persistent":false
}
} |
{"geometry":{"type":"Polygon","coordinates":[[[-60.790099,4.199666],[-60.783351,4.188965],[-60.792617,4.186010],[-60.794615,4.188923],[-60.794753,4.189181],[-60.799279,4.197585],[-60.800659,4.198539],[-60.799975,4.199446],[-60.798666,4.199475],[-60.797505,4.199501],[-60.795832,4.199538],[-60.790099,4.199666]]]},"id":101988057,"type":"Feature","properties":{"qs:a1r":"*","geom:longitude":-60.791834,"qs:level":"locality0","src:geom_alt":[],"wof:hierarchy":[{"locality_id":101988057,"country_id":85633009,"region_id":85682011,"county_id":102059027}],"iso:country":"BR","wof:geomhash":"94e9fa83c9f3ee345cbb0181bdc35f6e","qs:a1_lc":"14","qs:a2_lc":"1400456","wof:breaches":[],"wof:name":"Comunidade Ind\u00edgena Surumu","src:geom":"quattroshapes","qs:adm0":"Brazil","wof:supersedes":[],"qs:la_lc":"*","qs:loc":"Comunidade Ind\u00edgena Surumu","wof:id":101988057,"qs:pop":0,"geom:area":0.000132,"geom:latitude":4.193415,"qs:source":"ABrasil IBGE","qs:type":"Local other","wof:belongsto":[85633009,85682011,102059027],"wof:placetype":"locality","qs:a0":"Brasil","qs:a1":"*RR","qs:a2":"PACARAIMA","wof:lastmodified":1439488254,"wof:superseded_by":[],"wof:concordances":{"qs:id":9},"wof:parent_id":102059027},"bbox":[-60.800659,4.186010,-60.783351,4.199666]} |
{
"notes": "advance-age-answers --Mark",
"allocationTime": "2017-02-09T15:41:30-05:00"
}
|
{"streams":[{"title":"¿Cómo lo hacen? S03 E16","url":"http://tv.iptv5latino.cl:8000/series/premium2/mauri1234554321/50411.mp4"}]} |
{"title":"[MommyBlowsBest] Jennifer Dark","uid":8672354,"size":1152961968,"categoryP":"porn","categoryS":"hd___movies","magnet":"?xt=urn:btih:d7cce794b42467fa9c826fd909a02eae4271c3f8&dn=%5BMommyBlowsBest%5D+Jennifer+Dark&tr=udp%3A%2F%2Ftracker.openbittorrent.com%3A80&tr=udp%3A%2F%2Fopen.demonii.com%3A1337&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Fexodus.desync.com%3A6969","seeders":1,"leechers":0,"uploader":"chkm8te","files":1,"time":1373518543,"description":"[MommyBlowsBest] Jennifer Dark\nres:1080p\n\nSexy Housemaid Jennifer Dark keeps getting bugged by her bosses son. To get him off her back, she makes an offer he can't refuse.... A blowjob. She makes him moan with the pleasure of her mouth. Then lets him blow his load in her sexy mouth. Hopefully now peace and quit.\n\nScreens: <a href="\nhttp://xxxhost.me/viewer.php?file=5j2nk2enmqkaaxdpuqnt.jpg" rel="nofollow" target="_NEW">\nhttp://xxxhost.me/viewer.php?file=5j2nk2enmqkaaxdpuqnt.jpg</a>\n <a href="\nhttp://xxxhost.me/viewer.php?file=ogiwg2yucmek0bsh3h1e.jpg" rel="nofollow" target="_NEW">\nhttp://xxxhost.me/viewer.php?file=ogiwg2yucmek0bsh3h1e.jpg</a>","torrent":{"xt":"urn:btih:d7cce794b42467fa9c826fd909a02eae4271c3f8","amp;dn":"%5BMommyBlowsBest%5D+Jennifer+Dark","amp;tr":["udp%3A%2F%2Ftracker.openbittorrent.com%3A80","udp%3A%2F%2Fopen.demonii.com%3A1337","udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969","udp%3A%2F%2Fexodus.desync.com%3A6969"],"infoHash":"d7cce794b42467fa9c826fd909a02eae4271c3f8","infoHashBuffer":{"type":"Buffer","data":[215,204,231,148,180,36,103,250,156,130,111,217,9,160,46,174,66,113,195,248]},"announce":[],"urlList":[]}} |
{"ysh9SuvSgZertVM/n7Q7Ug==":"unnamed.jpg","xJZKwe5MgsW3fpCvRZNg4g==":"unnamed.jpeg","3iORBrFxjAfcI5UndNh7mw==":"unnamed.png","RYMlMyS2ky58zzkEK71sYg==":"unnamed-1.png","cb76GnAudKsh166fhIrm4Q==":"unnamed-copy.png","IxKwQ3qI3JZtLNU8zkv/zg==":"rodillos-industriales-6-600x542.png","JtG1GNZUtwnDJ12jg5GO3Q==":"rodillos-361x360.png","t8NNaH5C5x8Sx17oDGxw1Q==":"brodhure-pagina-180x37.png","F+L3yBnvIVaHI5CxvZu8Iw==":"brodhure-pagina%20copy-116x28.png","is9I0nfmRYPg+iIEe3zDTQ==":"brodhure-pagina-1-180x37.png","CU6D9MFpw+kaBAtKm45UBw==":"brodhure-pagina%20copy%20copy-133x68.png","1nxCIMak/d9v4AB+CWTgaA==":"rodillos-industriales-7-600x542.png","/5TxP6rB5Xsj6wML99MSww==":"logo2.png","UAc7kepzJPkrSn4uqTRvmw==":"background4.jpg","RJMAwiKkRYwEdtuH45KX0Q==":"brodhure-pagina%20copy%20copy-133x68.png","0XPfyX2ZQTJDm2d6vWdBHg==":"brodhure-pagina%20copy%20copy-133x68.png","8QOh7pAVrZ6uJy1oQVTcig==":"cilindros_industriales_para_moliendas-1-1890x862.jpeg","FJXpofefDmweniuNDxTUMg==":"rodillos-industriales-3-700x416.png"} |
{"geometry":{"type":"Polygon","coordinates":[[[46.528194,44.389362],[46.526028,44.393196],[46.526859,44.397305],[46.535168,44.399387],[46.538502,44.400223],[46.544193,44.398693],[46.553501,44.393417],[46.555168,44.391251],[46.555305,44.391083],[46.550362,44.381363],[46.543415,44.383141],[46.528389,44.389027],[46.528194,44.389362]]]},"id":102016527,"type":"Feature","properties":{"qs:a1r":"*","geom:longitude":46.540906,"qs:level":"localadmin","qs:adm0":"Russia","geonames:id":"546779,868355","src:geom_alt":[],"qs:loc_alt":"\u041a\u043e\u0447\u0443\u0431\u0435\u0439","iso:country":"RU","wof:geomhash":"7cec099763f2260b9866e4e4d872d830","qs:a1_lc":"0503400000800","wof:breaches":[],"wof:name":"CHERNYY RYNOK","src:geom":"quattroshapes","wof:hierarchy":[{"locality_id":102016527,"country_id":85632685,"region_id":85688197}],"wof:supersedes":[],"qs:type":"\u0441\u0442","qs:loc":"CHERNYY RYNOK","wof:id":102016527,"qs:pop":0,"geom:area":0.000349,"qs:id":0,"geom:latitude":44.391433,"qs:source":"SUnknown","qs:la_lc":"*","wof:belongsto":[85632685,85688197],"wof:placetype":"locality","qs:a0":"\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f","qs:a1":"*\u0420\u0435\u0441\u043f\u0443\u0431\u043b\u0438\u043a\u0430 \u0414\u0430\u0433\u0435\u0441\u0442\u0430\u043d","qs:a2":"\u0422\u0430\u0440\u0443\u043c\u043e\u0432\u0441\u043a\u0438\u0439","wof:lastmodified":1439487371,"wof:superseded_by":[],"wof:concordances":{},"wof:parent_id":85688197},"bbox":[46.526028,44.381363,46.555305,44.400223]} |
{
"name": "Markov",
"script": "Markov.js",
"version": "0.1.1",
"previousversions": ["0.1.0"],
"description": "A simple name generator that uses markov chains\r\rTo use enter !markov in the chat and a new name will be generated using a markov chain. See the READ.me for more details.",
"authors": "Ryan Jentzsch (retooled into Roll20 -- based on works created by drow <drow@bin.sh> and released into the public domain)",
"roll20userid": "1638601",
"patreon": "https://patreon.com/user?u=3985594",
"modifies": {},
"conflicts": [],
"useroptions":
[
{
"name": "Search Handouts",
"type": "checkbox",
"description": "Clear this checkbox if you DON'T have handouts to be included as Markov language sets.",
"value": "searchHandouts"
}
]
} |
{
"country": null,
"href": "http://data.globalchange.gov/journal/journal-medical-entomology.json",
"identifier": "journal-medical-entomology",
"notes": null,
"online_issn": "1938-2928",
"print_issn": "0022-2585",
"publisher": "Entomological Society of America",
"title": "Journal of Medical Entomology",
"uri": "/journal/journal-medical-entomology",
"url": "http://www.entsoc.org/Pubs/Periodicals/JME"
} |
{"poster":"Donicesky","date":"2017-07-21T14:21:11.076+0000","title":"SkinPreview","subforum":"[ARCHIVED] Help & Support","up_votes":1,"down_votes":0,"body":"Hello Summoners,\r\nCan I get a ban for using Skin preview?","replies":[{"poster":"Porocles","date":"2017-07-21T16:57:13.513+0000","up_votes":2,"down_votes":0,"body":"We may not be banning for it now, but we don't support the use of third party programs. Selecting to puts you at risk if there's any malicious content hiding inside, and we couldn't offer any support for it. Check out our[ third party guide](https://support.riotgames.com/hc/en-us/articles/225266848) for more info, and stay cautious!","replies":[]}]} |
{
"type": "flying",
"speed": 4,
"flying": true,
"health": 1000,
"engineOffset": 5.5,
"range": 160,
"research": "ho-mechunit"
"weapons": [
{
"name": "vo-mechunit-blaster",
"reload": 7,
"shootSound": "missile",
"bullet": {
"type": "missileBulletType",
"damage": 35,
"homingRange":120,
"homingPower":7,
"speed": 2,
"lifetime": 160
"frontColor": "000000",
"backColor": "1f1f1f",
"trailColor": "141414"
"mixColorFrom": "000000",
"mixColorTo": "1f1f1f"
}
}
]
} |
{"poster":"The Giant Rat","date":"2016-10-07T07:18:03.775+0000","title":"1000 wins","subforum":"Miscellaneous","up_votes":1,"down_votes":0,"body":"Almost at 1000 wins and one of my friends told me that I can get a rioter to play with me. It sounds like fun so if any of you will thanks :)\r\nIGN: The Giant Rat","replies":[]} |
{
"Radius": 2,
"Size": {
"X": 7,
"Y": 3,
"Z": 7
},
"Layers": [
{
"Facing": "AASSSAA,ACAAACA,TAAAAAU,TAAAAAU,TAAAAAU,ACAAACA,AARRRAA",
"Blocks": " LLL , KI IK ,LI IL,L L,LI IL, KI IK , LLL ",
"Trait": "Standard"
},
{
"Facing": "AAAAAAA,AAAAAAA,AAAAAAA,AAAAAAA,AAAAAAA,AAAAAAA,AAAAAAA",
"Blocks": " , J J , J J , , J J , J J , ",
"Trait": "CloneOnce"
},
{
"Facing": "AAAAAAA,AAABAAA,AABBBAA,ABBBBBA,AABBBAA,AAABAAA,AAAAAAA",
"Blocks": " , BKB , BKKKB , KKKKK , BKKKB , BKB , ",
"Trait": "Standard"
}
]
} |
{
"name": "ImSafeApp",
"version": "0.0.1",
"private": true,
"scripts": {
"start": "node node_modules/react-native/local-cli/cli.js start",
"test": "jest"
},
"dependencies": {
"adb": "^0.2.0",
"easy-bluetooth-classic": "^1.0.4",
"npm": "^5.8.0",
"react": "16.2.0",
"react-native": "0.53.3",
"react-native-action-button": "^2.8.4",
"react-native-contacts": "^2.1.1",
"react-native-elements": "^0.19.0",
"react-native-get-sms-android": "^1.3.3",
"react-native-modal": "^5.4.0",
"react-native-swipeout": "^2.3.3",
"react-native-textinput-effects": "^0.4.2",
"react-native-vector-icons": "^4.6.0",
"react-navigation": "^1.2.1"
},
"devDependencies": {
"babel-jest": "22.4.1",
"babel-preset-react-native": "4.0.0",
"jest": "22.4.2",
"react-test-renderer": "16.2.0"
},
"jest": {
"preset": "react-native"
}
}
|
{"poster":"unionsovietica8","date":"2019-08-14T23:06:04.017+0000","title":"Hola estoy muy triste :C Decendi y me trolearon ( tengo pruebas ).","subforum":"Charlas Generales","up_votes":1,"down_votes":0,"body":"Hola estoy no furioso ni enojado sino como agotado y con una impotencia. Resulta que me dieron 20 minutos de cola por el bug de cuando carga la pantalla. y acabo de salir de la cola jugando flex y 3 las gane con muy buen score. :c, Ahora me meto a jugar SoloQ y si perdia decendia a plata 1. Me junte con un duo almenos era uno menos que no troleaba ni se quedaba afk. Lo peor paso, Dije no troleen plis si pierdo caigo a plata. Y el top dijo te voy a hacer caer voy a regalar kills y sospecho que el jg era su duo que tambien aporto a la derrota.\r\nCuando entra a cargar la partida no lo podia creer otra vez el bug era increible justo en SoloQ y antes de eso en Flex entro lo mas normal yo temia que me podia pasar por eso saque todos los programas pero igual paso, por suerte cerre y entre rapido la partida iva 1-2 a favor del enemigo y era por el top que se fue jg y regalo kills. mi adc era bueno y ganamos linea pero la kalista no paraba de fedear y el amumu no aportaba mucho creo que hacian que jugaban para que no los baneen. Por suerte tengo pruebas. Y saque capture solo espero que los baneen. Ahora tengo que remarla de nuevo con lo que me costo llegar a oro :,c. {{sticker:sg-soraka}} https://subefotos.com/ver/?b8fd8c3b4a517f2c105242ee592d9afbo.png#codigos y este el resultado. https://subefotos.com/ver/?6668276c67e84d3f5aebc81be6c7a75fo.png#codigos Bore los nicks una vez en otra cuenta puse capturas y no sabia que no podias subir los nick etc. Espero que aca este bien. Bueno eso espero que no les toque estos usuarios. vi su historial y tienen buenas partidas. Espero que se haga justicia. El tipo decia en el juego que ya le banearon la cuenta y no le importaba e insultaba a mi duo. Estoy mal y ya ni ganas de jugar tengo Gracias.","replies":[{"poster":"VenganceZ","date":"2019-08-15T00:30:43.765+0000","up_votes":2,"down_votes":0,"body":"A mí hoy me trolearon en mi primo con yasuo jg, el adc no paraba de flamear... Pero no le avive como vos ni saque captura, espero que tengas la justicia que mereces.\n\n{{sticker:galio-happy}} ","replies":[{"poster":"unionsovietica8","date":"2019-08-15T02:47:51.204+0000","up_votes":1,"down_votes":0,"body":"Gracias, y por si fuera poco, jugue ranke con esas ganas terrible que tengo y me dije voy a subir a oro ya mi linea top 2/0, bot fedeando y el mid igual. T.T la segunda voy 4/0 el jg se va afk y los de bot nuevamente fedean el top estaba a la altura. pero se perdio ambas. la tercera partida la jugue con un duo por suerte la ganamos y saque S con lulu. Jugare con duos asi subo ya.","replies":[{"poster":"VenganceZ","date":"2019-08-16T19:10:06.451+0000","up_votes":2,"down_votes":0,"body":"y si hermano, es la que queda","replies":[]}]}]},{"poster":"AzorAha","date":"2019-08-15T09:03:16.975+0000","up_votes":2,"down_votes":0,"body":"En mis dos ultimas partida me toco un troll que andaba fedeando adrede y lo dijo en el chat riéndose de todos como si nada, en la siguiente me toco con un ADC que tenia 800 de ping y murio como quinientas veces, así es esto, olvidate de la estrategia y toda esa mierda que repiten los \"gurus\" del lol, si vas solo o e duo vas depender mayormente de tu suerte y nada mas, por mucho que te esfuerces si te toca el team con trolls, afk o lageados, vas a perder y descender, etc, la unica solucion que veo es jugar en grupo con gente de confianza, así disminuye la probabilidad de que te caguen la partida.","replies":[{"poster":"unionsovietica8","date":"2019-08-16T20:51:15.292+0000","up_votes":2,"down_votes":1,"body":"Es la pura verdad. Y veo muchos Streamer o etc que dicen vamos amigos las partidas depende de ustedes a un tipo que jugaba le toco un troll que empezo a dar kills y el llendo zed y el chabon gano la partida aunque le toco un troll que despues loayudo. cual es el chiste... Que este pibe es Master o diamanete y jugaba con otra cuenta en elos muy bajos... ASi cualquieraaaaaaaaaaaaaaaa!!! Y de los tipos que dicen si Faker si dopa pueden ustedes tambien por favorrrrrrrrrrrrrrr la mayoria no somos Dopaaaaaa!. Es una mentira tremenda eso de depende de vos depende mucho de la suerteee del team. Pero hay algunos que estan comodos en Platino etc que es facil decir cosas.","replies":[]}]},{"poster":"Mobius One","date":"2019-08-15T01:25:41.220+0000","up_votes":2,"down_votes":0,"body":"> Dije no troleen plis si pierdo caigo a plata\n\nNunca digas eso, ni que estas en promo. La gente es así de hdp, decirles eso es tentarlos.","replies":[{"poster":"unionsovietica8","date":"2019-08-15T02:43:27.143+0000","up_votes":1,"down_votes":0,"body":"Si es la ultima vez. lamentable que en vez de alentar a que juguen bien hagan esas cosas.","replies":[]}]}]} |
{
"message": "name is required"
} |
{"latitude":40.4406,"longitude":-79.9961,"zipcode":"15289","msa":"6280","dma":"508","state":"PA"} |
{"org_id": "03134608", "org_name_cn": "江苏鱼跃医疗设备股份有限公司", "org_short_name_cn": "鱼跃医疗", "org_name_en": "Jiangsu Yuyue Medical Equipment&Supply Co.,Ltd", "org_short_name_en": "YUYUE MEDICAL", "main_operation_business": "研发、制造和销售医疗器械产品及提供相关解决方案。", "operating_scope": " 医疗器械（按许可证所核范围经营）；保健用品的制造与销售；金属材料的销售；经营本企业自产产品的出口业务和本企业所需的机械设备、零配件、原辅材料的进口业务（国家限定公司经营或禁止进出口的商品及技术除外）；机动医疗车改装（凭相关资质开展经营活动）；汽车的销售。（依法须经批准的项目，经相关部门批准后方可开展经营活动）", "district_encode": "321181", "org_cn_introduction": "鱼跃医疗自1998年创立以来，矢志于投身生命健康事业，打造了由家庭医疗、临床医疗、互联网医疗组成的大健康生态圈，组建了一个覆盖医疗器械领域的专业化服务平台。集团总部设立在中国上海，拥有位于北京、上海、南京、苏州、丹阳、西藏、中国台北地区、德国、意大利的10大研发中心和8大生产基地，其中位于丹阳的全球生产基地总投资30亿元、占地1000亩，已于2020年落成并陆续投入使用。鱼跃医疗在全球各地设立了56家办事机构，形成了完整的研发、生产、营销和服务网络。公司产品主要集中在呼吸供氧、血压血糖、消毒感控、医疗急救、手术器械、中医器械、眼科器械、康复护理、隐形眼镜及提供医院消毒感染控制解决方案等领域，现已应用于全国90%以上的三甲医院与数十万家医疗机构。鱼跃旗下品牌矩阵包括“鱼跃yuwell”、“华佗Hwato”、“金钟JZ”、“洁芙柔”、“安尔碘”、“普美康PRIMEDIC”等。", "legal_representative": "吴群", "general_manager": "吴群", "secretary": "王瑞洁", "established_date": 908985600000, "reg_asset": 1002476929.0, "staff_num": 5525, "telephone": "86-511-86900876", "postcode": "212300", "fax": "86-511-86900876", "email": "wang.rj@yuyue.com.cn;zhang.yy1@yuyue.com.cn", "org_website": "www.yuyue.com.cn", "reg_address_cn": "江苏省镇江市丹阳市云阳工业园(振新路南)", "reg_address_en": "", "office_address_cn": "江苏省镇江市丹阳市云阳工业园(振新路南)", "office_address_en": "", "currency_encode": "019001", "currency": "CNY", "listed_date": 1208448000000, "provincial_name": "江苏省", "actual_controller": "吴光明 (33.63%)", "classi_name": "民营企业", "pre_name_cn": null, "chairman": "吴群", "executives_nums": 23, "actual_issue_vol": 26000000.0, "issue_price": 9.48, "actual_rc_net_amt": 227259088.0, "pe_after_issuing": 29.08, "online_success_rate_of_issue": 0.0785, "affiliate_industry": {"ind_code": "BK0044", "ind_name": "医疗器械服务"}} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.