text stringlengths 6 2.91M |
|---|
{"poster":"KÎNGKONG","date":"2016-11-16T13:56:27.291+0000","title":"Mein erster Wukong Penta in S6 + Nice Pentasecure by Ryze (FindetNimo)","subforum":"Streams & YouTube","embed":{"description":"Mein erster Wu Penta in der Season 6! Like' if you enjoyed & want MORE 💙 BOZZPLAYZ #5| Wukong Penta | First and only WU Penta in S6 Hi Leute, willkommen zu einem neuen Video. In diesem Video geht es um meinen ersten Pentakill mit Wukong in der Season 6.","url":"https://www.youtube.com/watch?v=FL6bN0IZC6A","image":"https://i.ytimg.com/vi/FL6bN0IZC6A/hqdefault.jpg"},"up_votes":1,"down_votes":0,"body":"Mein erster Wu Penta in der Season 6! Like' if you enjoyed & want MORE 💙\r\n\r\nHi Leute,\r\nwillkommen zu einem neuen Video. In diesem Video geht es um meinen ersten Pentakill mit Wukong in der Season 6. Da Wukong mein Main ist und ich den sehr oft spiele, war dieser Pentakill längst überfällig. Kurz vor der Preseason ist es mir dann doch gelungen. Aber seht selber.^^\r\n\r\nViel Spaß und danke für´s Zuschauen!","replies":[]} |
["??R<lambda_0>@?0???0SkRGB565_Shader_Blitter@@QEAA@AEBVSkPixmap@@AEBVSkPaint@@PEAVContext@SkShaderBase@@@Z@QEBA?A?<auto>@@XZ", "?D16_S32X_src_coverage@@YAXQEAGQEBIHE@Z", "?blitH@SkRGB565_Shader_Blitter@@UEAAXHHH@Z", "??R<lambda_4>@?0??D16_S32A_srcover@@YAXQEAGQEBIHE@Z@QEBA?A?<auto>@@XZ", "?D16_S32X_src@@YAXQEAGQEBIHE@Z", "?D16_S32A_srcover@@YAXQEAGQEBIHE@Z", "?Supports@SkRGB565_Shader_Blitter@@SA_NAEBVSkPixmap@@AEBVSkPaint@@@Z", "?blitAntiH@SkRGB565_Shader_Blitter@@UEAAXHHQEBEQEBF@Z", "??0SkRGB565_Shader_Blitter@@QEAA@AEBVSkPixmap@@AEBVSkPaint@@PEAVContext@SkShaderBase@@@Z", "??R<lambda_3>@?0??D16_S32X_src@@YAXQEAGQEBIHE@Z@QEBA?A?<auto>@@XZ", "??R<lambda_2>@?0??blitH@SkRGB565_Shader_Blitter@@UEAAXHHH@Z@QEBA?A?<auto>@@XZ", "?D16_S32A_srcover_coverage@@YAXQEAGQEBIHE@Z", "??1SkRGB565_Shader_Blitter@@UEAA@XZ", "??R<lambda_1>@?0???0SkRGB565_Shader_Blitter@@QEAA@AEBVSkPixmap@@AEBVSkPaint@@PEAVContext@SkShaderBase@@@Z@QEBA?A?<auto>@@XZ"] |
{"title":"Judge.Judy.2012.06.01.PDTV.tellymad.avi","uid":7326981,"size":196364212,"categoryP":"video","categoryS":"tv_shows","magnet":"?xt=urn:btih:48abcd12d9ae109d1905a8a99b31a39fabab0db0&dn=Judge.Judy.2012.06.01.PDTV.tellymad.avi&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":"mdprosser","files":1,"time":1338792099,"description":"Judge.Judy.2012.06.01.PDTV.tellymad","torrent":{"xt":"urn:btih:48abcd12d9ae109d1905a8a99b31a39fabab0db0","amp;dn":"Judge.Judy.2012.06.01.PDTV.tellymad.avi","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":"48abcd12d9ae109d1905a8a99b31a39fabab0db0","infoHashBuffer":{"type":"Buffer","data":[72,171,205,18,217,174,16,157,25,5,168,169,155,49,163,159,171,171,13,176]},"announce":[],"urlList":[]}} |
{"cardClass":"NEUTRAL","cost":2,"dbfId":47003,"id":"TB_HeadlessHorseman_HP5","mechanics":["TRIGGER_VISUAL"],"name":"Sense Weakness","set":"TB","text":"<b>Passive Hero Power</b>\nWhenever a non-<b>Boss</b> enemy survives damage, summon a 1/1 Cat.","type":"HERO_POWER"} |
[
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app",
{
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app",
"isDirectory": true,
"size": 136,
"modifiedTime": 1549908432000,
"changeTime": 1549908432000,
"contentHash": "51d86f3b64a3d9a0048d192f02147b0e9e9594e4",
"isMetadataFile": false,
"state": "u",
"isWorkspace": false,
"isArtifactRoot": true
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main",
{
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main",
"isDirectory": true,
"size": 136,
"modifiedTime": 1549908441000,
"changeTime": 1549908441000,
"contentHash": "ae41ed56706e4439a34cda97ac997d7988935c2f",
"isMetadataFile": false,
"state": "u",
"isWorkspace": false,
"isArtifactRoot": false
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default",
{
"state": "u",
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default",
"isDirectory": true,
"isMetadataFile": false,
"size": 204,
"modifiedTime": 1549909444000,
"changeTime": 1549909444000,
"contentHash": "f1f0476b7f6b99ab19fc14f7d601ce0adb956ca1"
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura",
{
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura",
"isDirectory": true,
"size": 136,
"modifiedTime": 1549909054000,
"changeTime": 1549909054000,
"contentHash": "77c92739c3c2883767917e740cf8dbf10a5a1032",
"isMetadataFile": false,
"state": "u",
"isWorkspace": false,
"isArtifactRoot": false
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld",
{
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld",
"isDirectory": true,
"size": 340,
"modifiedTime": 1549908731000,
"changeTime": 1549908731000,
"contentHash": "f5bd3af96eaa1e214ea3612340edae79203f80f6",
"isMetadataFile": false,
"state": "u",
"isWorkspace": false,
"isArtifactRoot": false
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworld.app",
{
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworld.app",
"isDirectory": false,
"size": 97,
"modifiedTime": 1549909415000,
"changeTime": 1549909415000,
"contentHash": "f16abc5bda4d2b43e861ec8bb77ff3e3816accf8",
"isMetadataFile": false,
"state": "u",
"isWorkspace": false
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworld.app-meta.xml",
{
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworld.app-meta.xml",
"isDirectory": false,
"size": 244,
"modifiedTime": 1549908731000,
"changeTime": 1549908731000,
"contentHash": "918438bc52d67d694a3ac423d53b7f1ffb3e62d3",
"isMetadataFile": true,
"state": "u",
"isWorkspace": false,
"isArtifactRoot": false
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworld.auradoc",
{
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworld.auradoc",
"isDirectory": false,
"size": 209,
"modifiedTime": 1549908731000,
"changeTime": 1549908731000,
"contentHash": "fd7f560d82324d6a8255c8c6ebf60698f5f93f1e",
"isMetadataFile": false,
"state": "u",
"isWorkspace": false,
"isArtifactRoot": false
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworld.css",
{
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworld.css",
"isDirectory": false,
"size": 10,
"modifiedTime": 1549908731000,
"changeTime": 1549908731000,
"contentHash": "44063bf628f237edaa1f3f358714dd40ac321703",
"isMetadataFile": false,
"state": "u",
"isWorkspace": false,
"isArtifactRoot": false
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworld.svg",
{
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworld.svg",
"isDirectory": false,
"size": 661,
"modifiedTime": 1549908731000,
"changeTime": 1549908731000,
"contentHash": "721eeffe17135535c3834b77f1e1968fe6360ed4",
"isMetadataFile": false,
"state": "u",
"isWorkspace": false,
"isArtifactRoot": false
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworldController.js",
{
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworldController.js",
"isDirectory": false,
"size": 65,
"modifiedTime": 1549908731000,
"changeTime": 1549908731000,
"contentHash": "194250e0c86b1981f8d4e7246be6b32954c6deaf",
"isMetadataFile": false,
"state": "u",
"isWorkspace": false,
"isArtifactRoot": false
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworldHelper.js",
{
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworldHelper.js",
"isDirectory": false,
"size": 45,
"modifiedTime": 1549908731000,
"changeTime": 1549908731000,
"contentHash": "fa35ebecd73c127729bf311a95b613f711a6f10b",
"isMetadataFile": false,
"state": "u",
"isWorkspace": false,
"isArtifactRoot": false
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworldRenderer.js",
{
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/aura/helloworld/helloworldRenderer.js",
"isDirectory": false,
"size": 50,
"modifiedTime": 1549908731000,
"changeTime": 1549908731000,
"contentHash": "8b79b016f08440c9b2f7d706a6d21229c854540b",
"isMetadataFile": false,
"state": "u",
"isWorkspace": false,
"isArtifactRoot": false
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/lwc",
{
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/lwc",
"isDirectory": true,
"size": 68,
"modifiedTime": 1549907914000,
"changeTime": 1549907914000,
"contentHash": "da39a3ee5e6b4b0d3255bfef95601890afd80709",
"isMetadataFile": false,
"state": "u",
"isWorkspace": false,
"isArtifactRoot": false
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp",
{
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp",
"isDirectory": true,
"size": 306,
"modifiedTime": 1549908854000,
"changeTime": 1549908854000,
"contentHash": "b12313919584842854d6b3ec7d3b56c30f769c53",
"isMetadataFile": false,
"state": "u",
"isWorkspace": true,
"isArtifactRoot": false
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/settings/OrgPreference.settings-meta.xml",
{
"state": "u",
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/settings/OrgPreference.settings-meta.xml",
"isDirectory": false,
"isMetadataFile": true,
"size": 6383,
"modifiedTime": 1549909444000,
"changeTime": 1549909444000,
"contentHash": "53153da293978b02d191b6ae64f72eae1e200c56"
}
],
[
"/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/settings",
{
"state": "u",
"sourcePath": "/Users/pgodara/Desktop/Lightning-DX/Day 1/Lightning/LX/lightning/bootcamp/force-app/main/default/settings",
"isDirectory": true,
"isMetadataFile": false,
"size": 102,
"modifiedTime": 1549909444000,
"changeTime": 1549909444000,
"contentHash": "51a767161ecb76df77be39042e42cbb2d91005fb"
}
]
] |
{
"attrs": {
".publisher": "Taylor & Francis",
".reference_type": "0",
"Access Date": "2013/08/06",
"Author": "Sussman, Fran\rKrishnan, Nisha\rMaher, Kathryn\rMiller, Rawlings\rMack, Charlotte\rStewart, Paul\rShouse, Kate\rPerkins, Bill",
"DOI": "10.1080/14693062.2013.777604",
"Epub Date": "26 Mar 2013",
"ISSN": "1469-3062",
"Issue": "2",
"Journal": "Climate Policy",
"Pages": "242-282",
"Title": "Climate change adaptation cost in the US: What do we know?",
"Volume": "14",
"Year": "2014",
"_chapter": "[\"Ch. 28: Adaptation FINAL\"]",
"_record_number": "4247",
"_uuid": "8b64b417-94b5-4510-94f2-b4a35b53f06d",
"reftype": "Journal Article"
},
"child_publication": "/article/10.1080/14693062.2013.777604",
"href": "http://data.globalchange.gov/reference/8b64b417-94b5-4510-94f2-b4a35b53f06d.json",
"identifier": "8b64b417-94b5-4510-94f2-b4a35b53f06d",
"uri": "/reference/8b64b417-94b5-4510-94f2-b4a35b53f06d"
} |
[{"lineNumber": 74, "col_offset": 0, "nodeName": "test_policy_loading_simple", "type": "Callable[[pathlib.Path], Any]"}, {"lineNumber": 92, "col_offset": 0, "nodeName": "test_policy_loading_no_kwargs_with_context", "type": "Callable[[pathlib.Path], Any]"}, {"lineNumber": 171, "col_offset": 0, "nodeName": "test_policy_priority", "type": "Callable[[], Any]"}, {"lineNumber": 200, "col_offset": 0, "nodeName": "test_fallback_mapping_restart", "type": "Callable[[], Any]"}, {"lineNumber": 320, "col_offset": 0, "nodeName": "test_fallback_wins_over_mapping", "type": "Callable[[], Any]"}, {"lineNumber": 373, "col_offset": 0, "nodeName": "test_policy_loading_load_returns_none", "type": "Callable[[pathlib.Path, Any], Any]"}, {"lineNumber": 414, "col_offset": 0, "nodeName": "test_policy_loading_load_returns_wrong_type", "type": "Callable[[pathlib.Path], Any]"}, {"lineNumber": 449, "col_offset": 0, "nodeName": "test_from_dict_does_not_change_passed_dict_parameter", "type": "Callable[[], Any]"}, {"lineNumber": 471, "col_offset": 0, "nodeName": "test_rule_based_data_warnings_no_rule_trackers", "type": "Callable[[], Any]"}, {"lineNumber": 484, "col_offset": 0, "nodeName": "test_rule_based_data_warnings_no_rule_policy", "type": "Callable[[], Any]"}, {"lineNumber": 515, "col_offset": 0, "nodeName": "test_end_to_end_prediction_supersedes_others", "type": "Callable[[rasa.shared.core.domain.Domain], Any]"}, {"lineNumber": 540, "col_offset": 0, "nodeName": "test_no_user_prediction_supersedes_others", "type": "Callable[[rasa.shared.core.domain.Domain], Any]"}, {"lineNumber": 568, "col_offset": 0, "nodeName": "test_prediction_applies_must_have_policy_events", "type": "Callable[[rasa.shared.core.domain.Domain], Any]"}, {"lineNumber": 590, "col_offset": 0, "nodeName": "test_prediction_applies_optional_policy_events", "type": "Callable[[rasa.shared.core.domain.Domain], Any]"}, {"lineNumber": 620, "col_offset": 0, "nodeName": "test_end_to_end_prediction_applies_define_featurization_events", "type": "Callable[[rasa.shared.core.domain.Domain], Any]"}, {"lineNumber": 645, "col_offset": 0, "nodeName": "test_intent_prediction_does_not_apply_define_featurization_events", "type": "Callable[[rasa.shared.core.domain.Domain], Any]"}, {"lineNumber": 670, "col_offset": 0, "nodeName": "test_with_float_returning_policy", "type": "Callable[[rasa.shared.core.domain.Domain], Any]"}, {"lineNumber": 44, "col_offset": 20, "nodeName": "Policy", "type": "Type[rasa.core.policies.policy.Policy]"}, {"lineNumber": 83, "col_offset": 30, "nodeName": "Policy", "type": "Type[rasa.core.policies.policy.Policy]"}, {"lineNumber": 114, "col_offset": 21, "nodeName": "Policy", "type": "Type[rasa.core.policies.policy.Policy]"}, {"lineNumber": 346, "col_offset": 28, "nodeName": "Policy", "type": "Type[rasa.core.policies.policy.Policy]"}, {"lineNumber": 387, "col_offset": 33, "nodeName": "Policy", "type": "Type[rasa.core.policies.policy.Policy]"}, {"lineNumber": 46, "col_offset": 48, "nodeName": "Policy", "type": "Type[rasa.core.policies.policy.Policy]"}, {"lineNumber": 67, "col_offset": 9, "nodeName": "PolicyPrediction", "type": "Type[rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 70, "col_offset": 36, "nodeName": "bool", "type": "Type[bool]"}, {"lineNumber": 75, "col_offset": 4, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 79, "col_offset": 4, "nodeName": "loaded_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 85, "col_offset": 46, "nodeName": "Policy", "type": "Type[rasa.core.policies.policy.Policy]"}, {"lineNumber": 93, "col_offset": 4, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 107, "col_offset": 4, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 135, "col_offset": 37, "nodeName": "Policy", "type": "Type[rasa.core.policies.policy.Policy]"}, {"lineNumber": 156, "col_offset": 9, "nodeName": "PolicyPrediction", "type": "Type[rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 172, "col_offset": 4, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 173, "col_offset": 4, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 175, "col_offset": 4, "nodeName": "priority_1", "type": "ConstantPolicy"}, {"lineNumber": 176, "col_offset": 4, "nodeName": "priority_2", "type": "ConstantPolicy"}, {"lineNumber": 178, "col_offset": 4, "nodeName": "policy_ensemble_0", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 179, "col_offset": 4, "nodeName": "policy_ensemble_1", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 185, "col_offset": 4, "nodeName": "i", "type": "int"}, {"lineNumber": 192, "col_offset": 4, "nodeName": "i", "type": "int"}, {"lineNumber": 201, "col_offset": 4, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 206, "col_offset": 4, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 211, "col_offset": 4, "nodeName": "mapping_policy", "type": "rasa.core.policies.mapping_policy.MappingPolicy"}, {"lineNumber": 220, "col_offset": 4, "nodeName": "index_of_mapping_policy", "type": "int"}, {"lineNumber": 251, "col_offset": 4, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 252, "col_offset": 4, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 270, "col_offset": 4, "nodeName": "index_of_mapping_policy", "type": "int"}, {"lineNumber": 292, "col_offset": 4, "nodeName": "form_name", "type": "str"}, {"lineNumber": 297, "col_offset": 4, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 304, "col_offset": 4, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 313, "col_offset": 4, "nodeName": "index_of_form_policy", "type": "int"}, {"lineNumber": 321, "col_offset": 4, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 327, "col_offset": 4, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 329, "col_offset": 4, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 334, "col_offset": 4, "nodeName": "index_of_fallback_policy", "type": "int"}, {"lineNumber": 369, "col_offset": 9, "nodeName": "PolicyPrediction", "type": "Type[rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 374, "col_offset": 4, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 389, "col_offset": 38, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 410, "col_offset": 9, "nodeName": "PolicyPrediction", "type": "Type[rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 415, "col_offset": 4, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 465, "col_offset": 4, "nodeName": "config_copy", "type": "Any"}, {"lineNumber": 472, "col_offset": 4, "nodeName": "trackers", "type": "List[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 473, "col_offset": 4, "nodeName": "policies", "type": "List[rasa.core.policies.rule_policy.RulePolicy]"}, {"lineNumber": 474, "col_offset": 4, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 485, "col_offset": 4, "nodeName": "trackers", "type": "List[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 486, "col_offset": 4, "nodeName": "policies", "type": "List[rasa.core.policies.fallback.FallbackPolicy]"}, {"lineNumber": 487, "col_offset": 4, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 510, "col_offset": 4, "nodeName": "policy_config", "type": "List[Dict[str, str]]"}, {"lineNumber": 516, "col_offset": 4, "nodeName": "expected_action_index", "type": "int"}, {"lineNumber": 517, "col_offset": 4, "nodeName": "expected_confidence", "type": "float"}, {"lineNumber": 529, "col_offset": 4, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 541, "col_offset": 4, "nodeName": "expected_action_index", "type": "int"}, {"lineNumber": 542, "col_offset": 4, "nodeName": "expected_confidence", "type": "float"}, {"lineNumber": 555, "col_offset": 4, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 564, "col_offset": 11, "nodeName": "is_no_user_prediction", "type": "bool"}, {"lineNumber": 569, "col_offset": 4, "nodeName": "must_have_events", "type": "List[rasa.shared.core.events.ActionExecuted]"}, {"lineNumber": 577, "col_offset": 4, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 591, "col_offset": 4, "nodeName": "optional_events", "type": "List[rasa.shared.core.events.ActionExecuted]"}, {"lineNumber": 592, "col_offset": 4, "nodeName": "must_have_events", "type": "List[rasa.shared.core.events.SlotSet]"}, {"lineNumber": 605, "col_offset": 4, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 629, "col_offset": 4, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 654, "col_offset": 4, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 671, "col_offset": 4, "nodeName": "expected_index", "type": "int"}, {"lineNumber": 673, "col_offset": 20, "nodeName": "Policy", "type": "Type[rasa.core.policies.policy.Policy]"}, {"lineNumber": 688, "col_offset": 4, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 74, "col_offset": 41, "nodeName": "Path", "type": "Type[pathlib.Path]"}, {"lineNumber": 75, "col_offset": 31, "nodeName": "PolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 76, "col_offset": 4, "nodeName": "train", "type": "Callable[..., None]"}, {"lineNumber": 77, "col_offset": 4, "nodeName": "persist", "type": "Callable[[Union[str, pathlib.Path]], None]"}, {"lineNumber": 79, "col_offset": 29, "nodeName": "load", "type": "Callable[..., rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 80, "col_offset": 11, "nodeName": "policies", "type": "List[rasa.core.policies.policy.Policy]"}, {"lineNumber": 80, "col_offset": 48, "nodeName": "policies", "type": "List[rasa.core.policies.policy.Policy]"}, {"lineNumber": 92, "col_offset": 57, "nodeName": "Path", "type": "Type[pathlib.Path]"}, {"lineNumber": 93, "col_offset": 31, "nodeName": "PolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 94, "col_offset": 4, "nodeName": "train", "type": "Callable[..., None]"}, {"lineNumber": 95, "col_offset": 4, "nodeName": "persist", "type": "Callable[[Union[str, pathlib.Path]], None]"}, {"lineNumber": 97, "col_offset": 57, "nodeName": "execinfo", "type": "Any"}, {"lineNumber": 105, "col_offset": 14, "nodeName": "Path", "type": "Type[pathlib.Path]"}, {"lineNumber": 105, "col_offset": 28, "nodeName": "CaptureFixture", "type": "Any"}, {"lineNumber": 107, "col_offset": 31, "nodeName": "PolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 108, "col_offset": 4, "nodeName": "train", "type": "Callable[..., None]"}, {"lineNumber": 109, "col_offset": 4, "nodeName": "persist", "type": "Callable[[Union[str, pathlib.Path]], None]"}, {"lineNumber": 127, "col_offset": 8, "nodeName": "predict_index", "type": "Optional[int]"}, {"lineNumber": 127, "col_offset": 29, "nodeName": "predict_index", "type": "Optional[int]"}, {"lineNumber": 128, "col_offset": 8, "nodeName": "confidence", "type": "float"}, {"lineNumber": 128, "col_offset": 26, "nodeName": "confidence", "type": "float"}, {"lineNumber": 129, "col_offset": 8, "nodeName": "is_end_to_end_prediction", "type": "bool"}, {"lineNumber": 129, "col_offset": 40, "nodeName": "is_end_to_end_prediction", "type": "bool"}, {"lineNumber": 130, "col_offset": 8, "nodeName": "is_no_user_prediction", "type": "bool"}, {"lineNumber": 130, "col_offset": 37, "nodeName": "is_no_user_prediction", "type": "bool"}, {"lineNumber": 131, "col_offset": 8, "nodeName": "events", "type": "Optional[Union[List[rasa.shared.core.events.Event], List[nothing]]]"}, {"lineNumber": 132, "col_offset": 8, "nodeName": "optional_events", "type": "Optional[Union[List[rasa.shared.core.events.Event], List[nothing]]]"}, {"lineNumber": 157, "col_offset": 8, "nodeName": "result", "type": "List[Union[float, Any]]"}, {"lineNumber": 158, "col_offset": 37, "nodeName": "confidence", "type": "float"}, {"lineNumber": 172, "col_offset": 13, "nodeName": "load", "type": "Callable[[Any, Union[str, pathlib.Path, List[Union[str, pathlib.Path]]]], rasa.shared.core.domain.Domain]"}, {"lineNumber": 173, "col_offset": 14, "nodeName": "from_events", "type": "Callable[..., rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 175, "col_offset": 17, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 176, "col_offset": 17, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 178, "col_offset": 24, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 179, "col_offset": 24, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 181, "col_offset": 24, "nodeName": "predict_action_probabilities", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 182, "col_offset": 8, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 182, "col_offset": 17, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 186, "col_offset": 17, "nodeName": "probabilities_using_best_policy", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 187, "col_offset": 8, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 187, "col_offset": 17, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 189, "col_offset": 11, "nodeName": "policy_name", "type": "Any"}, {"lineNumber": 190, "col_offset": 11, "nodeName": "probabilities", "type": "List[float]"}, {"lineNumber": 190, "col_offset": 39, "nodeName": "probabilities", "type": "List[float]"}, {"lineNumber": 193, "col_offset": 17, "nodeName": "probabilities_using_best_policy", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 194, "col_offset": 8, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 194, "col_offset": 17, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 196, "col_offset": 11, "nodeName": "policy_name", "type": "Any"}, {"lineNumber": 197, "col_offset": 11, "nodeName": "probabilities", "type": "List[float]"}, {"lineNumber": 197, "col_offset": 39, "nodeName": "probabilities", "type": "List[float]"}, {"lineNumber": 201, "col_offset": 13, "nodeName": "load", "type": "Callable[[Any, Union[str, pathlib.Path, List[Union[str, pathlib.Path]]]], rasa.shared.core.domain.Domain]"}, {"lineNumber": 206, "col_offset": 14, "nodeName": "from_events", "type": "Callable[..., rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 206, "col_offset": 55, "nodeName": "events", "type": "List[Union[rasa.shared.core.events.ActionExecuted, rasa.shared.core.events.UserUttered]]"}, {"lineNumber": 208, "col_offset": 32, "nodeName": "TwoStageFallbackPolicy", "type": "Type[rasa.core.policies.two_stage_fallback.TwoStageFallbackPolicy]"}, {"lineNumber": 211, "col_offset": 21, "nodeName": "MappingPolicy", "type": "Type[rasa.core.policies.mapping_policy.MappingPolicy]"}, {"lineNumber": 213, "col_offset": 32, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 217, "col_offset": 17, "nodeName": "probabilities_using_best_policy", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 218, "col_offset": 8, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 218, "col_offset": 17, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 221, "col_offset": 18, "nodeName": "action_for_index", "type": "Callable[[int, rasa.shared.core.domain.Domain, Optional[rasa.utils.endpoints.EndpointConfig]], rasa.core.actions.action.Action]"}, {"lineNumber": 222, "col_offset": 8, "nodeName": "max_confidence_index", "type": "int"}, {"lineNumber": 222, "col_offset": 41, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 226, "col_offset": 8, "nodeName": "policy_name", "type": "Any"}, {"lineNumber": 229, "col_offset": 33, "nodeName": "ACTION_RESTART_NAME", "type": "str"}, {"lineNumber": 251, "col_offset": 13, "nodeName": "from_yaml", "type": "Callable[..., rasa.shared.core.domain.Domain]"}, {"lineNumber": 251, "col_offset": 30, "nodeName": "domain", "type": "str"}, {"lineNumber": 252, "col_offset": 14, "nodeName": "from_events", "type": "Callable[..., rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 252, "col_offset": 55, "nodeName": "events", "type": "List[rasa.shared.core.events.Event]"}, {"lineNumber": 254, "col_offset": 15, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 262, "col_offset": 17, "nodeName": "probabilities_using_best_policy", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 263, "col_offset": 8, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 263, "col_offset": 17, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 266, "col_offset": 18, "nodeName": "action_for_index", "type": "Callable[[int, rasa.shared.core.domain.Domain, Optional[rasa.utils.endpoints.EndpointConfig]], rasa.core.actions.action.Action]"}, {"lineNumber": 267, "col_offset": 8, "nodeName": "max_confidence_index", "type": "int"}, {"lineNumber": 267, "col_offset": 41, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 272, "col_offset": 8, "nodeName": "policy_name", "type": "Any"}, {"lineNumber": 275, "col_offset": 33, "nodeName": "ACTION_RESTART_NAME", "type": "str"}, {"lineNumber": 291, "col_offset": 50, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 297, "col_offset": 13, "nodeName": "from_yaml", "type": "Callable[..., rasa.shared.core.domain.Domain]"}, {"lineNumber": 297, "col_offset": 30, "nodeName": "domain", "type": "str"}, {"lineNumber": 304, "col_offset": 14, "nodeName": "from_events", "type": "Callable[..., rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 304, "col_offset": 55, "nodeName": "events", "type": "List[Union[rasa.shared.core.events.ActiveLoop, rasa.shared.core.events.ActionExecuted, rasa.shared.core.events.UserUttered]]"}, {"lineNumber": 305, "col_offset": 17, "nodeName": "probabilities_using_best_policy", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 306, "col_offset": 8, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 306, "col_offset": 17, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 309, "col_offset": 18, "nodeName": "action_for_index", "type": "Callable[[int, rasa.shared.core.domain.Domain, Optional[rasa.utils.endpoints.EndpointConfig]], rasa.core.actions.action.Action]"}, {"lineNumber": 310, "col_offset": 8, "nodeName": "max_confidence_index", "type": "int"}, {"lineNumber": 310, "col_offset": 41, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 315, "col_offset": 8, "nodeName": "policy_name", "type": "Any"}, {"lineNumber": 317, "col_offset": 33, "nodeName": "form_name", "type": "str"}, {"lineNumber": 321, "col_offset": 13, "nodeName": "load", "type": "Callable[[Any, Union[str, pathlib.Path, List[Union[str, pathlib.Path]]]], rasa.shared.core.domain.Domain]"}, {"lineNumber": 327, "col_offset": 14, "nodeName": "from_events", "type": "Callable[..., rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 327, "col_offset": 55, "nodeName": "events", "type": "List[Union[rasa.shared.core.events.ActionExecuted, rasa.shared.core.events.UserUttered]]"}, {"lineNumber": 329, "col_offset": 15, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 331, "col_offset": 17, "nodeName": "probabilities_using_best_policy", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 332, "col_offset": 8, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 332, "col_offset": 17, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 335, "col_offset": 18, "nodeName": "action_for_index", "type": "Callable[[int, rasa.shared.core.domain.Domain, Optional[rasa.utils.endpoints.EndpointConfig]], rasa.core.actions.action.Action]"}, {"lineNumber": 336, "col_offset": 8, "nodeName": "max_confidence_index", "type": "int"}, {"lineNumber": 336, "col_offset": 41, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 340, "col_offset": 8, "nodeName": "policy_name", "type": "Any"}, {"lineNumber": 343, "col_offset": 33, "nodeName": "ACTION_DEFAULT_FALLBACK_NAME", "type": "str"}, {"lineNumber": 373, "col_offset": 52, "nodeName": "Path", "type": "Type[pathlib.Path]"}, {"lineNumber": 373, "col_offset": 66, "nodeName": "LogCaptureFixture", "type": "Any"}, {"lineNumber": 374, "col_offset": 31, "nodeName": "PolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 375, "col_offset": 4, "nodeName": "train", "type": "Callable[..., None]"}, {"lineNumber": 376, "col_offset": 4, "nodeName": "persist", "type": "Callable[[Union[str, pathlib.Path]], None]"}, {"lineNumber": 379, "col_offset": 8, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 414, "col_offset": 58, "nodeName": "Path", "type": "Type[pathlib.Path]"}, {"lineNumber": 415, "col_offset": 31, "nodeName": "PolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 416, "col_offset": 4, "nodeName": "train", "type": "Callable[..., None]"}, {"lineNumber": 417, "col_offset": 4, "nodeName": "persist", "type": "Callable[[Union[str, pathlib.Path]], None]"}, {"lineNumber": 431, "col_offset": 11, "nodeName": "from_dict", "type": "Callable[[Any, Dict[str, Any]], List[rasa.core.policies.policy.Policy]]"}, {"lineNumber": 431, "col_offset": 36, "nodeName": "valid_config", "type": "Any"}, {"lineNumber": 465, "col_offset": 18, "nodeName": "deepcopy", "type": "Callable"}, {"lineNumber": 465, "col_offset": 32, "nodeName": "config", "type": "Dict[str, List[Dict[str, Union[List[Dict[str, Union[List[Dict[str, str]], int, str]]], str]]]]"}, {"lineNumber": 466, "col_offset": 4, "nodeName": "from_dict", "type": "Callable[[Any, Dict[str, Any]], List[rasa.core.policies.policy.Policy]]"}, {"lineNumber": 466, "col_offset": 29, "nodeName": "config_copy", "type": "Any"}, {"lineNumber": 468, "col_offset": 11, "nodeName": "config", "type": "Dict[str, List[Dict[str, Union[List[Dict[str, Union[List[Dict[str, str]], int, str]]], str]]]]"}, {"lineNumber": 468, "col_offset": 21, "nodeName": "config_copy", "type": "Any"}, {"lineNumber": 474, "col_offset": 15, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 474, "col_offset": 36, "nodeName": "policies", "type": "List[rasa.core.policies.rule_policy.RulePolicy]"}, {"lineNumber": 476, "col_offset": 38, "nodeName": "record", "type": "Any"}, {"lineNumber": 487, "col_offset": 15, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 487, "col_offset": 36, "nodeName": "policies", "type": "List[rasa.core.policies.fallback.FallbackPolicy]"}, {"lineNumber": 489, "col_offset": 38, "nodeName": "record", "type": "Any"}, {"lineNumber": 515, "col_offset": 57, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 518, "col_offset": 15, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 529, "col_offset": 14, "nodeName": "from_events", "type": "Callable[..., rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 531, "col_offset": 17, "nodeName": "probabilities_using_best_policy", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 532, "col_offset": 8, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 532, "col_offset": 17, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 535, "col_offset": 11, "nodeName": "max_confidence", "type": "float"}, {"lineNumber": 535, "col_offset": 40, "nodeName": "expected_confidence", "type": "float"}, {"lineNumber": 536, "col_offset": 11, "nodeName": "max_confidence_index", "type": "int"}, {"lineNumber": 536, "col_offset": 46, "nodeName": "expected_action_index", "type": "int"}, {"lineNumber": 537, "col_offset": 11, "nodeName": "policy_name", "type": "Any"}, {"lineNumber": 540, "col_offset": 54, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 543, "col_offset": 15, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 555, "col_offset": 14, "nodeName": "from_events", "type": "Callable[..., rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 557, "col_offset": 17, "nodeName": "probabilities_using_best_policy", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 558, "col_offset": 8, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 558, "col_offset": 17, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 561, "col_offset": 11, "nodeName": "max_confidence", "type": "float"}, {"lineNumber": 561, "col_offset": 40, "nodeName": "expected_confidence", "type": "float"}, {"lineNumber": 562, "col_offset": 11, "nodeName": "max_confidence_index", "type": "int"}, {"lineNumber": 562, "col_offset": 46, "nodeName": "expected_action_index", "type": "int"}, {"lineNumber": 563, "col_offset": 11, "nodeName": "policy_name", "type": "Any"}, {"lineNumber": 564, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 565, "col_offset": 15, "nodeName": "is_end_to_end_prediction", "type": "bool"}, {"lineNumber": 568, "col_offset": 60, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 571, "col_offset": 15, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 577, "col_offset": 14, "nodeName": "from_events", "type": "Callable[..., rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 579, "col_offset": 17, "nodeName": "probabilities_using_best_policy", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 580, "col_offset": 8, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 580, "col_offset": 17, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 584, "col_offset": 11, "nodeName": "policy_name", "type": "Any"}, {"lineNumber": 587, "col_offset": 11, "nodeName": "events", "type": "List[rasa.shared.core.events.Event]"}, {"lineNumber": 587, "col_offset": 32, "nodeName": "must_have_events", "type": "List[rasa.shared.core.events.ActionExecuted]"}, {"lineNumber": 590, "col_offset": 59, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 594, "col_offset": 15, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 605, "col_offset": 14, "nodeName": "from_events", "type": "Callable[..., rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 607, "col_offset": 17, "nodeName": "probabilities_using_best_policy", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 608, "col_offset": 8, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 608, "col_offset": 17, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 612, "col_offset": 11, "nodeName": "policy_name", "type": "Any"}, {"lineNumber": 616, "col_offset": 11, "nodeName": "all", "type": "Callable[[Any], bool]"}, {"lineNumber": 617, "col_offset": 11, "nodeName": "all", "type": "Callable[[Any], bool]"}, {"lineNumber": 620, "col_offset": 75, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 621, "col_offset": 15, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 629, "col_offset": 14, "nodeName": "from_events", "type": "Callable[..., rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 630, "col_offset": 17, "nodeName": "probabilities_using_best_policy", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 631, "col_offset": 8, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 631, "col_offset": 17, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 633, "col_offset": 11, "nodeName": "events", "type": "List[rasa.shared.core.events.Event]"}, {"lineNumber": 636, "col_offset": 14, "nodeName": "from_events", "type": "Callable[..., rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 639, "col_offset": 17, "nodeName": "probabilities_using_best_policy", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 640, "col_offset": 8, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 640, "col_offset": 17, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 642, "col_offset": 11, "nodeName": "events", "type": "List[rasa.shared.core.events.Event]"}, {"lineNumber": 645, "col_offset": 78, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 646, "col_offset": 15, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 654, "col_offset": 14, "nodeName": "from_events", "type": "Callable[..., rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 655, "col_offset": 17, "nodeName": "probabilities_using_best_policy", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 656, "col_offset": 8, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 656, "col_offset": 17, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 658, "col_offset": 11, "nodeName": "events", "type": "List[rasa.shared.core.events.Event]"}, {"lineNumber": 661, "col_offset": 14, "nodeName": "from_events", "type": "Callable[..., rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 664, "col_offset": 17, "nodeName": "probabilities_using_best_policy", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 665, "col_offset": 8, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 665, "col_offset": 17, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 667, "col_offset": 11, "nodeName": "events", "type": "List[rasa.shared.core.events.Event]"}, {"lineNumber": 670, "col_offset": 45, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 685, "col_offset": 15, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 688, "col_offset": 14, "nodeName": "from_events", "type": "Callable[..., rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 695, "col_offset": 11, "nodeName": "policy_name", "type": "Any"}, {"lineNumber": 696, "col_offset": 11, "nodeName": "max_confidence_index", "type": "int"}, {"lineNumber": 696, "col_offset": 46, "nodeName": "expected_index", "type": "int"}, {"lineNumber": 710, "col_offset": 17, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 710, "col_offset": 74, "nodeName": "bool", "type": "Type[bool]"}, {"lineNumber": 714, "col_offset": 11, "nodeName": "not_in_training_data", "type": "bool"}, {"lineNumber": 46, "col_offset": 25, "nodeName": "Any", "type": "Any"}, {"lineNumber": 46, "col_offset": 40, "nodeName": "Any", "type": "Any"}, {"lineNumber": 47, "col_offset": 15, "nodeName": "WorkingPolicy", "type": "Type[WorkingPolicy]"}, {"lineNumber": 55, "col_offset": 16, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 56, "col_offset": 21, "nodeName": "NaturalLanguageInterpreter", "type": "Type[rasa.shared.nlu.interpreter.NaturalLanguageInterpreter]"}, {"lineNumber": 57, "col_offset": 18, "nodeName": "Any", "type": "Any"}, {"lineNumber": 63, "col_offset": 17, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 64, "col_offset": 16, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 65, "col_offset": 21, "nodeName": "NaturalLanguageInterpreter", "type": "Type[rasa.shared.nlu.interpreter.NaturalLanguageInterpreter]"}, {"lineNumber": 66, "col_offset": 18, "nodeName": "Any", "type": "Any"}, {"lineNumber": 70, "col_offset": 28, "nodeName": "Any", "type": "Any"}, {"lineNumber": 71, "col_offset": 15, "nodeName": "isinstance", "type": "Callable[[Any, Union[Type[Any], Tuple[Union[Type[Any], Tuple[Type[Any], ...]], ...]]], bool]"}, {"lineNumber": 71, "col_offset": 26, "nodeName": "other", "type": "Any"}, {"lineNumber": 71, "col_offset": 33, "nodeName": "WorkingPolicy", "type": "Type[WorkingPolicy]"}, {"lineNumber": 76, "col_offset": 4, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 76, "col_offset": 45, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 77, "col_offset": 4, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 77, "col_offset": 37, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 77, "col_offset": 41, "nodeName": "tmp_path", "type": "pathlib.Path"}, {"lineNumber": 79, "col_offset": 29, "nodeName": "PolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 79, "col_offset": 49, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 79, "col_offset": 53, "nodeName": "tmp_path", "type": "pathlib.Path"}, {"lineNumber": 80, "col_offset": 11, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 80, "col_offset": 48, "nodeName": "loaded_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 86, "col_offset": 15, "nodeName": "PolicyWithoutLoadKwargs", "type": "Type[PolicyWithoutLoadKwargs]"}, {"lineNumber": 94, "col_offset": 4, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 94, "col_offset": 45, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 95, "col_offset": 4, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 95, "col_offset": 37, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 95, "col_offset": 41, "nodeName": "tmp_path", "type": "pathlib.Path"}, {"lineNumber": 97, "col_offset": 9, "nodeName": "raises", "type": "Any"}, {"lineNumber": 97, "col_offset": 23, "nodeName": "UnsupportedDialogueModelError", "type": "Type[rasa.core.exceptions.UnsupportedDialogueModelError]"}, {"lineNumber": 98, "col_offset": 8, "nodeName": "load", "type": "Callable[..., rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 99, "col_offset": 74, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 100, "col_offset": 8, "nodeName": "value", "type": "Any"}, {"lineNumber": 108, "col_offset": 4, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 108, "col_offset": 45, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 109, "col_offset": 4, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 109, "col_offset": 37, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 109, "col_offset": 41, "nodeName": "tmp_path", "type": "pathlib.Path"}, {"lineNumber": 110, "col_offset": 9, "nodeName": "warns", "type": "Any"}, {"lineNumber": 110, "col_offset": 22, "nodeName": "FutureWarning", "type": "Type[FutureWarning]"}, {"lineNumber": 111, "col_offset": 8, "nodeName": "load", "type": "Callable[..., rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 124, "col_offset": 18, "nodeName": "Any", "type": "Any"}, {"lineNumber": 126, "col_offset": 8, "nodeName": "__init__", "type": "Callable[..., None]"}, {"lineNumber": 127, "col_offset": 8, "nodeName": "self", "type": "ConstantPolicy"}, {"lineNumber": 128, "col_offset": 8, "nodeName": "self", "type": "ConstantPolicy"}, {"lineNumber": 129, "col_offset": 8, "nodeName": "self", "type": "ConstantPolicy"}, {"lineNumber": 130, "col_offset": 8, "nodeName": "self", "type": "ConstantPolicy"}, {"lineNumber": 131, "col_offset": 8, "nodeName": "self", "type": "ConstantPolicy"}, {"lineNumber": 131, "col_offset": 22, "nodeName": "events", "type": "Optional[List[rasa.shared.core.events.Event]]"}, {"lineNumber": 132, "col_offset": 8, "nodeName": "self", "type": "ConstantPolicy"}, {"lineNumber": 132, "col_offset": 31, "nodeName": "optional_events", "type": "Optional[List[rasa.shared.core.events.Event]]"}, {"lineNumber": 144, "col_offset": 16, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 145, "col_offset": 21, "nodeName": "NaturalLanguageInterpreter", "type": "Type[rasa.shared.nlu.interpreter.NaturalLanguageInterpreter]"}, {"lineNumber": 146, "col_offset": 18, "nodeName": "Any", "type": "Any"}, {"lineNumber": 152, "col_offset": 17, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 153, "col_offset": 16, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 154, "col_offset": 21, "nodeName": "NaturalLanguageInterpreter", "type": "Type[rasa.shared.nlu.interpreter.NaturalLanguageInterpreter]"}, {"lineNumber": 155, "col_offset": 18, "nodeName": "Any", "type": "Any"}, {"lineNumber": 157, "col_offset": 25, "nodeName": "num_actions", "type": "Any"}, {"lineNumber": 158, "col_offset": 8, "nodeName": "result", "type": "List[Union[float, Any]]"}, {"lineNumber": 158, "col_offset": 37, "nodeName": "self", "type": "ConstantPolicy"}, {"lineNumber": 160, "col_offset": 15, "nodeName": "PolicyPrediction", "type": "Type[rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 161, "col_offset": 12, "nodeName": "result", "type": "List[Union[float, Any]]"}, {"lineNumber": 162, "col_offset": 12, "nodeName": "__name__", "type": "str"}, {"lineNumber": 172, "col_offset": 13, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 173, "col_offset": 14, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 178, "col_offset": 46, "nodeName": "priority_1", "type": "ConstantPolicy"}, {"lineNumber": 178, "col_offset": 58, "nodeName": "priority_2", "type": "ConstantPolicy"}, {"lineNumber": 179, "col_offset": 46, "nodeName": "priority_2", "type": "ConstantPolicy"}, {"lineNumber": 179, "col_offset": 58, "nodeName": "priority_1", "type": "ConstantPolicy"}, {"lineNumber": 181, "col_offset": 24, "nodeName": "priority_2", "type": "ConstantPolicy"}, {"lineNumber": 182, "col_offset": 25, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 186, "col_offset": 17, "nodeName": "policy_ensemble_0", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 187, "col_offset": 25, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 189, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 189, "col_offset": 37, "nodeName": "format", "type": "Callable[..., str]"}, {"lineNumber": 189, "col_offset": 59, "nodeName": "i", "type": "int"}, {"lineNumber": 189, "col_offset": 62, "nodeName": "__name__", "type": "str"}, {"lineNumber": 190, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 190, "col_offset": 39, "nodeName": "priority_2_result", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 193, "col_offset": 17, "nodeName": "policy_ensemble_1", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 194, "col_offset": 25, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 196, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 196, "col_offset": 37, "nodeName": "format", "type": "Callable[..., str]"}, {"lineNumber": 196, "col_offset": 59, "nodeName": "i", "type": "int"}, {"lineNumber": 196, "col_offset": 62, "nodeName": "__name__", "type": "str"}, {"lineNumber": 197, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 197, "col_offset": 39, "nodeName": "priority_2_result", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 201, "col_offset": 13, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 203, "col_offset": 8, "nodeName": "ActionExecuted", "type": "Type[rasa.shared.core.events.ActionExecuted]"}, {"lineNumber": 203, "col_offset": 23, "nodeName": "ACTION_DEFAULT_FALLBACK_NAME", "type": "str"}, {"lineNumber": 204, "col_offset": 8, "nodeName": "user_uttered", "type": "Callable[..., rasa.shared.core.events.UserUttered]"}, {"lineNumber": 204, "col_offset": 31, "nodeName": "USER_INTENT_RESTART", "type": "str"}, {"lineNumber": 206, "col_offset": 14, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 214, "col_offset": 9, "nodeName": "two_stage_fallback_policy", "type": "rasa.core.policies.two_stage_fallback.TwoStageFallbackPolicy"}, {"lineNumber": 214, "col_offset": 36, "nodeName": "mapping_policy", "type": "rasa.core.policies.mapping_policy.MappingPolicy"}, {"lineNumber": 217, "col_offset": 17, "nodeName": "mapping_fallback_ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 218, "col_offset": 25, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 221, "col_offset": 18, "nodeName": "action", "type": "module"}, {"lineNumber": 222, "col_offset": 8, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 226, "col_offset": 8, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 229, "col_offset": 11, "nodeName": "name", "type": "Callable[[], str]"}, {"lineNumber": 246, "col_offset": 40, "nodeName": "List", "type": "Any"}, {"lineNumber": 251, "col_offset": 13, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 252, "col_offset": 14, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 262, "col_offset": 17, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 263, "col_offset": 25, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 266, "col_offset": 18, "nodeName": "action", "type": "module"}, {"lineNumber": 267, "col_offset": 8, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 272, "col_offset": 8, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 275, "col_offset": 11, "nodeName": "name", "type": "Callable[[], str]"}, {"lineNumber": 297, "col_offset": 13, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 300, "col_offset": 8, "nodeName": "ActiveLoop", "type": "Type[rasa.shared.core.events.ActiveLoop]"}, {"lineNumber": 301, "col_offset": 8, "nodeName": "ActionExecuted", "type": "Type[rasa.shared.core.events.ActionExecuted]"}, {"lineNumber": 301, "col_offset": 23, "nodeName": "ACTION_LISTEN_NAME", "type": "str"}, {"lineNumber": 302, "col_offset": 8, "nodeName": "user_uttered", "type": "Callable[..., rasa.shared.core.events.UserUttered]"}, {"lineNumber": 304, "col_offset": 14, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 305, "col_offset": 17, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 306, "col_offset": 25, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 309, "col_offset": 18, "nodeName": "action", "type": "module"}, {"lineNumber": 310, "col_offset": 8, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 315, "col_offset": 8, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 317, "col_offset": 11, "nodeName": "name", "type": "Callable[[], str]"}, {"lineNumber": 321, "col_offset": 13, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 323, "col_offset": 8, "nodeName": "ActionExecuted", "type": "Type[rasa.shared.core.events.ActionExecuted]"}, {"lineNumber": 323, "col_offset": 23, "nodeName": "ACTION_LISTEN_NAME", "type": "str"}, {"lineNumber": 325, "col_offset": 8, "nodeName": "user_uttered", "type": "Callable[..., rasa.shared.core.events.UserUttered]"}, {"lineNumber": 325, "col_offset": 31, "nodeName": "USER_INTENT_RESTART", "type": "str"}, {"lineNumber": 327, "col_offset": 14, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 331, "col_offset": 17, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 332, "col_offset": 25, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 335, "col_offset": 18, "nodeName": "action", "type": "module"}, {"lineNumber": 336, "col_offset": 8, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 340, "col_offset": 8, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 343, "col_offset": 11, "nodeName": "name", "type": "Callable[[], str]"}, {"lineNumber": 357, "col_offset": 16, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 358, "col_offset": 21, "nodeName": "NaturalLanguageInterpreter", "type": "Type[rasa.shared.nlu.interpreter.NaturalLanguageInterpreter]"}, {"lineNumber": 359, "col_offset": 18, "nodeName": "Any", "type": "Any"}, {"lineNumber": 365, "col_offset": 17, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 366, "col_offset": 16, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 367, "col_offset": 21, "nodeName": "NaturalLanguageInterpreter", "type": "Type[rasa.shared.nlu.interpreter.NaturalLanguageInterpreter]"}, {"lineNumber": 368, "col_offset": 18, "nodeName": "Any", "type": "Any"}, {"lineNumber": 375, "col_offset": 4, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 375, "col_offset": 45, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 376, "col_offset": 4, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 376, "col_offset": 37, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 376, "col_offset": 41, "nodeName": "tmp_path", "type": "pathlib.Path"}, {"lineNumber": 378, "col_offset": 9, "nodeName": "at_level", "type": "Any"}, {"lineNumber": 378, "col_offset": 25, "nodeName": "WARNING", "type": "int"}, {"lineNumber": 379, "col_offset": 19, "nodeName": "load", "type": "Callable[..., rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 381, "col_offset": 12, "nodeName": "msg", "type": "Any"}, {"lineNumber": 398, "col_offset": 16, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 399, "col_offset": 21, "nodeName": "NaturalLanguageInterpreter", "type": "Type[rasa.shared.nlu.interpreter.NaturalLanguageInterpreter]"}, {"lineNumber": 400, "col_offset": 18, "nodeName": "Any", "type": "Any"}, {"lineNumber": 406, "col_offset": 17, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 407, "col_offset": 16, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 408, "col_offset": 21, "nodeName": "NaturalLanguageInterpreter", "type": "Type[rasa.shared.nlu.interpreter.NaturalLanguageInterpreter]"}, {"lineNumber": 409, "col_offset": 18, "nodeName": "Any", "type": "Any"}, {"lineNumber": 416, "col_offset": 4, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 416, "col_offset": 45, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 417, "col_offset": 4, "nodeName": "original_policy_ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 417, "col_offset": 37, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 417, "col_offset": 41, "nodeName": "tmp_path", "type": "pathlib.Path"}, {"lineNumber": 419, "col_offset": 9, "nodeName": "raises", "type": "Any"}, {"lineNumber": 419, "col_offset": 23, "nodeName": "Exception", "type": "Type[Exception]"}, {"lineNumber": 420, "col_offset": 8, "nodeName": "load", "type": "Callable[..., rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 431, "col_offset": 11, "nodeName": "PolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 445, "col_offset": 9, "nodeName": "raises", "type": "Any"}, {"lineNumber": 445, "col_offset": 23, "nodeName": "InvalidPolicyConfig", "type": "Type[rasa.core.policies.ensemble.InvalidPolicyConfig]"}, {"lineNumber": 446, "col_offset": 8, "nodeName": "from_dict", "type": "Callable[[Any, Dict[str, Any]], List[rasa.core.policies.policy.Policy]]"}, {"lineNumber": 446, "col_offset": 33, "nodeName": "invalid_config", "type": "Any"}, {"lineNumber": 465, "col_offset": 18, "nodeName": "copy", "type": "module"}, {"lineNumber": 466, "col_offset": 4, "nodeName": "PolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 472, "col_offset": 16, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 473, "col_offset": 16, "nodeName": "RulePolicy", "type": "Type[rasa.core.policies.rule_policy.RulePolicy]"}, {"lineNumber": 476, "col_offset": 9, "nodeName": "warns", "type": "Any"}, {"lineNumber": 476, "col_offset": 22, "nodeName": "UserWarning", "type": "Type[UserWarning]"}, {"lineNumber": 477, "col_offset": 8, "nodeName": "train", "type": "Callable[..., None]"}, {"lineNumber": 477, "col_offset": 23, "nodeName": "trackers", "type": "List[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 481, "col_offset": 9, "nodeName": "args", "type": "Any"}, {"lineNumber": 485, "col_offset": 16, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 486, "col_offset": 16, "nodeName": "FallbackPolicy", "type": "Type[rasa.core.policies.fallback.FallbackPolicy]"}, {"lineNumber": 489, "col_offset": 9, "nodeName": "warns", "type": "Any"}, {"lineNumber": 489, "col_offset": 22, "nodeName": "UserWarning", "type": "Type[UserWarning]"}, {"lineNumber": 490, "col_offset": 8, "nodeName": "train", "type": "Callable[..., None]"}, {"lineNumber": 490, "col_offset": 23, "nodeName": "trackers", "type": "List[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 494, "col_offset": 9, "nodeName": "args", "type": "Any"}, {"lineNumber": 508, "col_offset": 14, "nodeName": "List", "type": "Any"}, {"lineNumber": 510, "col_offset": 30, "nodeName": "policy_name", "type": "str"}, {"lineNumber": 510, "col_offset": 47, "nodeName": "policy_name", "type": "str"}, {"lineNumber": 510, "col_offset": 62, "nodeName": "policies", "type": "List[str]"}, {"lineNumber": 511, "col_offset": 9, "nodeName": "warns", "type": "Any"}, {"lineNumber": 511, "col_offset": 22, "nodeName": "UserWarning", "type": "Type[UserWarning]"}, {"lineNumber": 512, "col_offset": 8, "nodeName": "from_dict", "type": "Callable[[Any, Dict[str, Any]], List[rasa.core.policies.policy.Policy]]"}, {"lineNumber": 529, "col_offset": 14, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 531, "col_offset": 17, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 532, "col_offset": 25, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 535, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 536, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 537, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 555, "col_offset": 14, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 557, "col_offset": 17, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 558, "col_offset": 25, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 561, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 562, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 563, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 565, "col_offset": 15, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 569, "col_offset": 24, "nodeName": "ActionExecuted", "type": "Type[rasa.shared.core.events.ActionExecuted]"}, {"lineNumber": 577, "col_offset": 14, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 579, "col_offset": 17, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 580, "col_offset": 25, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 584, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 587, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 591, "col_offset": 23, "nodeName": "ActionExecuted", "type": "Type[rasa.shared.core.events.ActionExecuted]"}, {"lineNumber": 592, "col_offset": 24, "nodeName": "SlotSet", "type": "Type[rasa.shared.core.events.SlotSet]"}, {"lineNumber": 605, "col_offset": 14, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 607, "col_offset": 17, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 608, "col_offset": 25, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 612, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 615, "col_offset": 11, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 615, "col_offset": 15, "nodeName": "events", "type": "List[rasa.shared.core.events.Event]"}, {"lineNumber": 629, "col_offset": 14, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 630, "col_offset": 17, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 631, "col_offset": 25, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 633, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 636, "col_offset": 14, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 639, "col_offset": 17, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 640, "col_offset": 25, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 642, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 654, "col_offset": 14, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 655, "col_offset": 17, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 656, "col_offset": 25, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 658, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 661, "col_offset": 14, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 664, "col_offset": 17, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 665, "col_offset": 25, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 667, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 681, "col_offset": 12, "nodeName": "prediction", "type": "List[Union[float, int]]"}, {"lineNumber": 683, "col_offset": 19, "nodeName": "prediction", "type": "List[Union[float, int]]"}, {"lineNumber": 680, "col_offset": 13, "nodeName": "List", "type": "Any"}, {"lineNumber": 688, "col_offset": 14, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 690, "col_offset": 9, "nodeName": "warns", "type": "Any"}, {"lineNumber": 690, "col_offset": 22, "nodeName": "FutureWarning", "type": "Type[FutureWarning]"}, {"lineNumber": 691, "col_offset": 21, "nodeName": "probabilities_using_best_policy", "type": "Callable[..., rasa.core.policies.policy.PolicyPrediction]"}, {"lineNumber": 692, "col_offset": 12, "nodeName": "tracker", "type": "rasa.shared.core.trackers.DialogueStateTracker"}, {"lineNumber": 692, "col_offset": 21, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 695, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 696, "col_offset": 11, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 710, "col_offset": 35, "nodeName": "Optional", "type": "Any"}, {"lineNumber": 713, "col_offset": 8, "nodeName": "is_not_in_training_data", "type": "Callable[..., bool]"}, {"lineNumber": 713, "col_offset": 53, "nodeName": "policy_name", "type": "str"}, {"lineNumber": 713, "col_offset": 66, "nodeName": "confidence", "type": "Optional[float]"}, {"lineNumber": 54, "col_offset": 27, "nodeName": "List", "type": "Any"}, {"lineNumber": 75, "col_offset": 47, "nodeName": "WorkingPolicy", "type": "Type[WorkingPolicy]"}, {"lineNumber": 85, "col_offset": 24, "nodeName": "Union", "type": "Any"}, {"lineNumber": 93, "col_offset": 47, "nodeName": "PolicyWithoutLoadKwargs", "type": "Type[PolicyWithoutLoadKwargs]"}, {"lineNumber": 97, "col_offset": 9, "nodeName": "pytest", "type": "Any"}, {"lineNumber": 98, "col_offset": 8, "nodeName": "PolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 98, "col_offset": 28, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 98, "col_offset": 32, "nodeName": "tmp_path", "type": "pathlib.Path"}, {"lineNumber": 100, "col_offset": 8, "nodeName": "execinfo", "type": "Any"}, {"lineNumber": 107, "col_offset": 47, "nodeName": "PolicyWithoutLoadKwargs", "type": "Type[PolicyWithoutLoadKwargs]"}, {"lineNumber": 110, "col_offset": 9, "nodeName": "pytest", "type": "Any"}, {"lineNumber": 111, "col_offset": 8, "nodeName": "PolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 111, "col_offset": 28, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 111, "col_offset": 32, "nodeName": "tmp_path", "type": "pathlib.Path"}, {"lineNumber": 123, "col_offset": 25, "nodeName": "Optional", "type": "Any"}, {"lineNumber": 126, "col_offset": 34, "nodeName": "priority", "type": "Optional[int]"}, {"lineNumber": 126, "col_offset": 46, "nodeName": "kwargs", "type": "Dict[str, Any]"}, {"lineNumber": 143, "col_offset": 27, "nodeName": "List", "type": "Any"}, {"lineNumber": 157, "col_offset": 25, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 158, "col_offset": 15, "nodeName": "predict_index", "type": "Any"}, {"lineNumber": 162, "col_offset": 12, "nodeName": "__class__", "type": "Type[ConstantPolicy]"}, {"lineNumber": 163, "col_offset": 28, "nodeName": "priority", "type": "int"}, {"lineNumber": 164, "col_offset": 37, "nodeName": "is_end_to_end_prediction", "type": "bool"}, {"lineNumber": 165, "col_offset": 34, "nodeName": "is_no_user_prediction", "type": "bool"}, {"lineNumber": 166, "col_offset": 19, "nodeName": "events", "type": "Any"}, {"lineNumber": 167, "col_offset": 28, "nodeName": "optional_events", "type": "Any"}, {"lineNumber": 173, "col_offset": 56, "nodeName": "UserUttered", "type": "Type[rasa.shared.core.events.UserUttered]"}, {"lineNumber": 204, "col_offset": 8, "nodeName": "utilities", "type": "module"}, {"lineNumber": 221, "col_offset": 18, "nodeName": "actions", "type": "module"}, {"lineNumber": 227, "col_offset": 21, "nodeName": "index_of_mapping_policy", "type": "int"}, {"lineNumber": 227, "col_offset": 47, "nodeName": "__name__", "type": "str"}, {"lineNumber": 229, "col_offset": 11, "nodeName": "next_action", "type": "rasa.core.actions.action.Action"}, {"lineNumber": 246, "col_offset": 45, "nodeName": "Event", "type": "Type[rasa.shared.core.events.Event]"}, {"lineNumber": 256, "col_offset": 12, "nodeName": "MappingPolicy", "type": "Type[rasa.core.policies.mapping_policy.MappingPolicy]"}, {"lineNumber": 257, "col_offset": 12, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 258, "col_offset": 12, "nodeName": "FormPolicy", "type": "Type[rasa.core.policies.form_policy.FormPolicy]"}, {"lineNumber": 259, "col_offset": 12, "nodeName": "FallbackPolicy", "type": "Type[rasa.core.policies.fallback.FallbackPolicy]"}, {"lineNumber": 266, "col_offset": 18, "nodeName": "actions", "type": "module"}, {"lineNumber": 273, "col_offset": 21, "nodeName": "index_of_mapping_policy", "type": "int"}, {"lineNumber": 273, "col_offset": 47, "nodeName": "__name__", "type": "str"}, {"lineNumber": 275, "col_offset": 11, "nodeName": "next_action", "type": "rasa.core.actions.action.Action"}, {"lineNumber": 302, "col_offset": 8, "nodeName": "utilities", "type": "module"}, {"lineNumber": 309, "col_offset": 18, "nodeName": "actions", "type": "module"}, {"lineNumber": 315, "col_offset": 44, "nodeName": "index_of_form_policy", "type": "int"}, {"lineNumber": 315, "col_offset": 67, "nodeName": "__name__", "type": "str"}, {"lineNumber": 317, "col_offset": 11, "nodeName": "next_action", "type": "rasa.core.actions.action.Action"}, {"lineNumber": 325, "col_offset": 8, "nodeName": "utilities", "type": "module"}, {"lineNumber": 329, "col_offset": 37, "nodeName": "FallbackPolicy", "type": "Type[rasa.core.policies.fallback.FallbackPolicy]"}, {"lineNumber": 329, "col_offset": 55, "nodeName": "MappingPolicy", "type": "Type[rasa.core.policies.mapping_policy.MappingPolicy]"}, {"lineNumber": 335, "col_offset": 18, "nodeName": "actions", "type": "module"}, {"lineNumber": 341, "col_offset": 21, "nodeName": "index_of_fallback_policy", "type": "int"}, {"lineNumber": 341, "col_offset": 48, "nodeName": "__name__", "type": "str"}, {"lineNumber": 343, "col_offset": 11, "nodeName": "next_action", "type": "rasa.core.actions.action.Action"}, {"lineNumber": 356, "col_offset": 27, "nodeName": "List", "type": "Any"}, {"lineNumber": 374, "col_offset": 47, "nodeName": "LoadReturnsNonePolicy", "type": "Type[LoadReturnsNonePolicy]"}, {"lineNumber": 378, "col_offset": 9, "nodeName": "caplog", "type": "Any"}, {"lineNumber": 378, "col_offset": 25, "nodeName": "logging", "type": "module"}, {"lineNumber": 379, "col_offset": 19, "nodeName": "PolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 379, "col_offset": 39, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 379, "col_offset": 43, "nodeName": "tmp_path", "type": "pathlib.Path"}, {"lineNumber": 384, "col_offset": 15, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 384, "col_offset": 19, "nodeName": "policies", "type": "List[rasa.core.policies.policy.Policy]"}, {"lineNumber": 397, "col_offset": 27, "nodeName": "List", "type": "Any"}, {"lineNumber": 415, "col_offset": 47, "nodeName": "LoadReturnsWrongTypePolicy", "type": "Type[LoadReturnsWrongTypePolicy]"}, {"lineNumber": 419, "col_offset": 9, "nodeName": "pytest", "type": "Any"}, {"lineNumber": 420, "col_offset": 8, "nodeName": "PolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 420, "col_offset": 28, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 420, "col_offset": 32, "nodeName": "tmp_path", "type": "pathlib.Path"}, {"lineNumber": 445, "col_offset": 9, "nodeName": "pytest", "type": "Any"}, {"lineNumber": 446, "col_offset": 8, "nodeName": "PolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 476, "col_offset": 9, "nodeName": "pytest", "type": "Any"}, {"lineNumber": 477, "col_offset": 8, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 477, "col_offset": 33, "nodeName": "empty", "type": "Callable[[Any], rasa.shared.core.domain.Domain]"}, {"lineNumber": 477, "col_offset": 49, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 481, "col_offset": 9, "nodeName": "message", "type": "Any"}, {"lineNumber": 489, "col_offset": 9, "nodeName": "pytest", "type": "Any"}, {"lineNumber": 490, "col_offset": 8, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 490, "col_offset": 33, "nodeName": "empty", "type": "Callable[[Any], rasa.shared.core.domain.Domain]"}, {"lineNumber": 490, "col_offset": 49, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 494, "col_offset": 9, "nodeName": "message", "type": "Any"}, {"lineNumber": 508, "col_offset": 19, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 511, "col_offset": 9, "nodeName": "pytest", "type": "Any"}, {"lineNumber": 512, "col_offset": 8, "nodeName": "PolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.PolicyEnsemble]"}, {"lineNumber": 512, "col_offset": 46, "nodeName": "policy_config", "type": "List[Dict[str, str]]"}, {"lineNumber": 520, "col_offset": 12, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 521, "col_offset": 12, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 537, "col_offset": 49, "nodeName": "__name__", "type": "str"}, {"lineNumber": 545, "col_offset": 12, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 546, "col_offset": 12, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 547, "col_offset": 12, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 563, "col_offset": 49, "nodeName": "__name__", "type": "str"}, {"lineNumber": 573, "col_offset": 12, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 574, "col_offset": 12, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 584, "col_offset": 49, "nodeName": "__name__", "type": "str"}, {"lineNumber": 596, "col_offset": 12, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 602, "col_offset": 12, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 612, "col_offset": 49, "nodeName": "__name__", "type": "str"}, {"lineNumber": 615, "col_offset": 15, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 615, "col_offset": 37, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 615, "col_offset": 41, "nodeName": "optional_events", "type": "List[rasa.shared.core.events.ActionExecuted]"}, {"lineNumber": 615, "col_offset": 60, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 615, "col_offset": 64, "nodeName": "must_have_events", "type": "List[rasa.shared.core.events.SlotSet]"}, {"lineNumber": 616, "col_offset": 15, "nodeName": "event", "type": "rasa.shared.core.events.ActionExecuted"}, {"lineNumber": 616, "col_offset": 24, "nodeName": "events", "type": "List[rasa.shared.core.events.Event]"}, {"lineNumber": 616, "col_offset": 46, "nodeName": "event", "type": "rasa.shared.core.events.ActionExecuted"}, {"lineNumber": 616, "col_offset": 55, "nodeName": "optional_events", "type": "List[rasa.shared.core.events.ActionExecuted]"}, {"lineNumber": 617, "col_offset": 15, "nodeName": "event", "type": "rasa.shared.core.events.SlotSet"}, {"lineNumber": 617, "col_offset": 24, "nodeName": "events", "type": "List[rasa.shared.core.events.Event]"}, {"lineNumber": 617, "col_offset": 46, "nodeName": "event", "type": "rasa.shared.core.events.SlotSet"}, {"lineNumber": 617, "col_offset": 55, "nodeName": "must_have_events", "type": "List[rasa.shared.core.events.SlotSet]"}, {"lineNumber": 623, "col_offset": 12, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 624, "col_offset": 12, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 642, "col_offset": 33, "nodeName": "DefinePrevUserUtteredFeaturization", "type": "Type[rasa.shared.core.events.DefinePrevUserUtteredFeaturization]"}, {"lineNumber": 648, "col_offset": 12, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 649, "col_offset": 12, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 667, "col_offset": 33, "nodeName": "DefinePrevUserUtteredFeaturization", "type": "Type[rasa.shared.core.events.DefinePrevUserUtteredFeaturization]"}, {"lineNumber": 676, "col_offset": 21, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 677, "col_offset": 20, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 678, "col_offset": 25, "nodeName": "NaturalLanguageInterpreter", "type": "Type[rasa.shared.nlu.interpreter.NaturalLanguageInterpreter]"}, {"lineNumber": 679, "col_offset": 22, "nodeName": "Any", "type": "Any"}, {"lineNumber": 681, "col_offset": 33, "nodeName": "num_actions", "type": "Any"}, {"lineNumber": 682, "col_offset": 12, "nodeName": "prediction", "type": "List[Union[float, int]]"}, {"lineNumber": 680, "col_offset": 18, "nodeName": "float", "type": "Type[float]"}, {"lineNumber": 686, "col_offset": 9, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 686, "col_offset": 54, "nodeName": "OldPolicy", "type": "Type[Any]"}, {"lineNumber": 690, "col_offset": 9, "nodeName": "pytest", "type": "Any"}, {"lineNumber": 691, "col_offset": 21, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.SimplePolicyEnsemble"}, {"lineNumber": 692, "col_offset": 29, "nodeName": "RegexInterpreter", "type": "Type[rasa.shared.nlu.interpreter.RegexInterpreter]"}, {"lineNumber": 695, "col_offset": 49, "nodeName": "__name__", "type": "str"}, {"lineNumber": 710, "col_offset": 44, "nodeName": "float", "type": "Type[float]"}, {"lineNumber": 713, "col_offset": 8, "nodeName": "SimplePolicyEnsemble", "type": "Type[rasa.core.policies.ensemble.SimplePolicyEnsemble]"}, {"lineNumber": 54, "col_offset": 32, "nodeName": "TrackerWithCachedStates", "type": "Type[rasa.shared.core.generator.TrackerWithCachedStates]"}, {"lineNumber": 126, "col_offset": 8, "nodeName": "super", "type": "Type[super]"}, {"lineNumber": 143, "col_offset": 32, "nodeName": "TrackerWithCachedStates", "type": "Type[rasa.shared.core.generator.TrackerWithCachedStates]"}, {"lineNumber": 158, "col_offset": 15, "nodeName": "self", "type": "ConstantPolicy"}, {"lineNumber": 162, "col_offset": 12, "nodeName": "self", "type": "ConstantPolicy"}, {"lineNumber": 163, "col_offset": 28, "nodeName": "self", "type": "ConstantPolicy"}, {"lineNumber": 164, "col_offset": 37, "nodeName": "self", "type": "ConstantPolicy"}, {"lineNumber": 165, "col_offset": 34, "nodeName": "self", "type": "ConstantPolicy"}, {"lineNumber": 166, "col_offset": 19, "nodeName": "self", "type": "ConstantPolicy"}, {"lineNumber": 167, "col_offset": 28, "nodeName": "self", "type": "ConstantPolicy"}, {"lineNumber": 189, "col_offset": 62, "nodeName": "type", "type": "Type[Type[Any]]"}, {"lineNumber": 189, "col_offset": 67, "nodeName": "priority_2", "type": "ConstantPolicy"}, {"lineNumber": 196, "col_offset": 62, "nodeName": "type", "type": "Type[Type[Any]]"}, {"lineNumber": 196, "col_offset": 67, "nodeName": "priority_2", "type": "ConstantPolicy"}, {"lineNumber": 221, "col_offset": 18, "nodeName": "core", "type": "module"}, {"lineNumber": 227, "col_offset": 47, "nodeName": "MappingPolicy", "type": "Type[rasa.core.policies.mapping_policy.MappingPolicy]"}, {"lineNumber": 266, "col_offset": 18, "nodeName": "core", "type": "module"}, {"lineNumber": 273, "col_offset": 47, "nodeName": "MappingPolicy", "type": "Type[rasa.core.policies.mapping_policy.MappingPolicy]"}, {"lineNumber": 309, "col_offset": 18, "nodeName": "core", "type": "module"}, {"lineNumber": 315, "col_offset": 67, "nodeName": "FormPolicy", "type": "Type[rasa.core.policies.form_policy.FormPolicy]"}, {"lineNumber": 335, "col_offset": 18, "nodeName": "core", "type": "module"}, {"lineNumber": 341, "col_offset": 48, "nodeName": "FallbackPolicy", "type": "Type[rasa.core.policies.fallback.FallbackPolicy]"}, {"lineNumber": 356, "col_offset": 32, "nodeName": "DialogueStateTracker", "type": "Type[rasa.shared.core.trackers.DialogueStateTracker]"}, {"lineNumber": 381, "col_offset": 12, "nodeName": "pop", "type": "Any"}, {"lineNumber": 384, "col_offset": 19, "nodeName": "ensemble", "type": "rasa.core.policies.ensemble.PolicyEnsemble"}, {"lineNumber": 397, "col_offset": 32, "nodeName": "TrackerWithCachedStates", "type": "Type[rasa.shared.core.generator.TrackerWithCachedStates]"}, {"lineNumber": 477, "col_offset": 33, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 490, "col_offset": 33, "nodeName": "Domain", "type": "Type[rasa.shared.core.domain.Domain]"}, {"lineNumber": 523, "col_offset": 30, "nodeName": "expected_action_index", "type": "int"}, {"lineNumber": 524, "col_offset": 27, "nodeName": "expected_confidence", "type": "float"}, {"lineNumber": 537, "col_offset": 49, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 549, "col_offset": 30, "nodeName": "expected_action_index", "type": "int"}, {"lineNumber": 550, "col_offset": 27, "nodeName": "expected_confidence", "type": "float"}, {"lineNumber": 563, "col_offset": 49, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 574, "col_offset": 63, "nodeName": "must_have_events", "type": "List[rasa.shared.core.events.ActionExecuted]"}, {"lineNumber": 584, "col_offset": 49, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 599, "col_offset": 23, "nodeName": "must_have_events", "type": "List[rasa.shared.core.events.SlotSet]"}, {"lineNumber": 600, "col_offset": 32, "nodeName": "optional_events", "type": "List[rasa.shared.core.events.ActionExecuted]"}, {"lineNumber": 612, "col_offset": 49, "nodeName": "ConstantPolicy", "type": "Type[ConstantPolicy]"}, {"lineNumber": 616, "col_offset": 24, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 617, "col_offset": 24, "nodeName": "prediction", "type": "rasa.core.policies.policy.PolicyPrediction"}, {"lineNumber": 637, "col_offset": 22, "nodeName": "ActionExecuted", "type": "Type[rasa.shared.core.events.ActionExecuted]"}, {"lineNumber": 637, "col_offset": 37, "nodeName": "ACTION_LISTEN_NAME", "type": "str"}, {"lineNumber": 662, "col_offset": 22, "nodeName": "ActionExecuted", "type": "Type[rasa.shared.core.events.ActionExecuted]"}, {"lineNumber": 662, "col_offset": 37, "nodeName": "ACTION_LISTEN_NAME", "type": "str"}, {"lineNumber": 681, "col_offset": 33, "nodeName": "domain", "type": "rasa.shared.core.domain.Domain"}, {"lineNumber": 682, "col_offset": 23, "nodeName": "expected_index", "type": "int"}, {"lineNumber": 695, "col_offset": 49, "nodeName": "OldPolicy", "type": "Type[Any]"}, {"lineNumber": 85, "col_offset": 30, "nodeName": "Text", "type": "Type[str]"}, {"lineNumber": 85, "col_offset": 36, "nodeName": "Path", "type": "Type[pathlib.Path]"}, {"lineNumber": 123, "col_offset": 34, "nodeName": "List", "type": "Any"}, {"lineNumber": 221, "col_offset": 18, "nodeName": "rasa", "type": "module"}, {"lineNumber": 266, "col_offset": 18, "nodeName": "rasa", "type": "module"}, {"lineNumber": 309, "col_offset": 18, "nodeName": "rasa", "type": "module"}, {"lineNumber": 335, "col_offset": 18, "nodeName": "rasa", "type": "module"}, {"lineNumber": 381, "col_offset": 12, "nodeName": "records", "type": "Any"}, {"lineNumber": 481, "col_offset": 9, "nodeName": "record", "type": "Any"}, {"lineNumber": 494, "col_offset": 9, "nodeName": "record", "type": "Any"}, {"lineNumber": 123, "col_offset": 39, "nodeName": "Event", "type": "Type[rasa.shared.core.events.Event]"}, {"lineNumber": 381, "col_offset": 12, "nodeName": "caplog", "type": "Any"}] |
[{"pid":0,"ph":"i","name":"Memory sample","ts":1535541742367000,"args":{"JVM stats":"heap_memory_usage: 281714392\nnon_heap_memory_usage: 100528792\nloaded_class_count: 12300\nthread_count: 26\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":1535541743023000,"args":{"JVM stats":"heap_memory_usage: 313284424\nnon_heap_memory_usage: 102638272\nloaded_class_count: 12464\nthread_count: 34\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":1535541743914000,"args":{"JVM stats":"heap_memory_usage: 97278560\nnon_heap_memory_usage: 103702008\nloaded_class_count: 12543\nthread_count: 34\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 1\n gc_time: 20\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":1535541743992000,"args":{"JVM stats":"heap_memory_usage: 106445072\nnon_heap_memory_usage: 103815264\nloaded_class_count: 12550\nthread_count: 34\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":1535541744086000,"args":{"JVM stats":"heap_memory_usage: 108125520\nnon_heap_memory_usage: 103860272\nloaded_class_count: 12556\nthread_count: 34\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":1535541744086001,"args":{"JVM stats":"heap_memory_usage: 108125520\nnon_heap_memory_usage: 103869776\nloaded_class_count: 12557\nthread_count: 34\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":1535541744101000,"args":{"JVM stats":"heap_memory_usage: 108125520\nnon_heap_memory_usage: 103915184\nloaded_class_count: 12558\nthread_count: 34\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":1535541744101001,"args":{"JVM stats":"heap_memory_usage: 108125520\nnon_heap_memory_usage: 103920296\nloaded_class_count: 12558\nthread_count: 34\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":1535541744132000,"args":{"JVM stats":"heap_memory_usage: 108685632\nnon_heap_memory_usage: 103950664\nloaded_class_count: 12558\nthread_count: 34\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":1535541744132001,"args":{"JVM stats":"heap_memory_usage: 108685632\nnon_heap_memory_usage: 103957928\nloaded_class_count: 12559\nthread_count: 34\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":1535541744132000,"args":{"JVM stats":"heap_memory_usage: 108685632\nnon_heap_memory_usage: 103957960\nloaded_class_count: 12559\nthread_count: 34\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":1535541744211000,"args":{"JVM stats":"heap_memory_usage: 110367112\nnon_heap_memory_usage: 104025552\nloaded_class_count: 12559\nthread_count: 34\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":1535541744335000,"args":{"JVM stats":"heap_memory_usage: 110367112\nnon_heap_memory_usage: 104233616\nloaded_class_count: 12576\nthread_count: 34\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":1535541744351000,"args":{"JVM stats":"heap_memory_usage: 110367112\nnon_heap_memory_usage: 104326768\nloaded_class_count: 12582\nthread_count: 34\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":1535541744976000,"args":{"JVM stats":"heap_memory_usage: 150471776\nnon_heap_memory_usage: 107389144\nloaded_class_count: 12770\nthread_count: 34\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":1535541745242000,"args":{"JVM stats":"heap_memory_usage: 172793392\nnon_heap_memory_usage: 108697672\nloaded_class_count: 12970\nthread_count: 35\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":1535541745273000,"args":{"JVM stats":"heap_memory_usage: 172793392\nnon_heap_memory_usage: 108515000\nloaded_class_count: 12974\nthread_count: 35\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":1535541745273001,"args":{"JVM stats":"heap_memory_usage: 173278536\nnon_heap_memory_usage: 108185736\nloaded_class_count: 12983\nthread_count: 35\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":1535541746897000,"args":{"JVM stats":"heap_memory_usage: 357685104\nnon_heap_memory_usage: 113437512\nloaded_class_count: 13791\nthread_count: 36\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":1535541746913000,"args":{"JVM stats":"heap_memory_usage: 359867680\nnon_heap_memory_usage: 113105776\nloaded_class_count: 13793\nthread_count: 36\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":1535541750740000,"args":{"JVM stats":"heap_memory_usage: 115364472\nnon_heap_memory_usage: 114565288\nloaded_class_count: 13924\nthread_count: 34\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 1\n gc_time: 23\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":1535541750740001,"args":{"JVM stats":"heap_memory_usage: 118076048\nnon_heap_memory_usage: 114569768\nloaded_class_count: 13924\nthread_count: 34\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":1535541750896000,"args":{"JVM stats":"heap_memory_usage: 132071192\nnon_heap_memory_usage: 114840056\nloaded_class_count: 13926\nthread_count: 34\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":1535541750990000,"args":{"JVM stats":"heap_memory_usage: 134108072\nnon_heap_memory_usage: 114983248\nloaded_class_count: 13926\nthread_count: 34\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":1535541751037000,"args":{"JVM stats":"heap_memory_usage: 136976752\nnon_heap_memory_usage: 115043608\nloaded_class_count: 13926\nthread_count: 34\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":1535541751053000,"args":{"JVM stats":"heap_memory_usage: 139018152\nnon_heap_memory_usage: 115111832\nloaded_class_count: 13926\nthread_count: 34\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":1535541751068000,"args":{"JVM stats":"heap_memory_usage: 139018152\nnon_heap_memory_usage: 115146496\nloaded_class_count: 13926\nthread_count: 34\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":1535541751068001,"args":{"JVM stats":"heap_memory_usage: 139018152\nnon_heap_memory_usage: 115151344\nloaded_class_count: 13926\nthread_count: 34\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":1535541751068000,"args":{"JVM stats":"heap_memory_usage: 139018152\nnon_heap_memory_usage: 115151344\nloaded_class_count: 13926\nthread_count: 34\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":1535541751349000,"args":{"JVM stats":"heap_memory_usage: 166965496\nnon_heap_memory_usage: 115346232\nloaded_class_count: 13926\nthread_count: 34\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":1535541751349001,"args":{"JVM stats":"heap_memory_usage: 167141008\nnon_heap_memory_usage: 115373848\nloaded_class_count: 13926\nthread_count: 34\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":1535541751412000,"args":{"JVM stats":"heap_memory_usage: 175460640\nnon_heap_memory_usage: 115475376\nloaded_class_count: 13927\nthread_count: 34\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":1535541751412001,"args":{"JVM stats":"heap_memory_usage: 175460640\nnon_heap_memory_usage: 115477056\nloaded_class_count: 13927\nthread_count: 34\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":1535541751428000,"args":{"JVM stats":"heap_memory_usage: 175460640\nnon_heap_memory_usage: 115495016\nloaded_class_count: 13927\nthread_count: 34\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":1535541751443000,"args":{"JVM stats":"heap_memory_usage: 175460640\nnon_heap_memory_usage: 115533432\nloaded_class_count: 13930\nthread_count: 26\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":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n"},"ph":"X","ts":1535541742367000,"dur":16000},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n"},"ph":"X","ts":1535541742383000,"dur":15000},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n"},"ph":"X","ts":1535541742398000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n"},"ph":"X","ts":1535541742398000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n"},"ph":"X","ts":1535541742586000,"dur":16000},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n"},"ph":"X","ts":1535541742617000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742617000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742617000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742617000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742617000,"dur":31000},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742648000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742648000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742648000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742648000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742648000,"dur":16000},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742664000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742664000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742664000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742664000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742664000,"dur":16000},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742680000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742617000,"dur":63000},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n"},"ph":"X","ts":1535541742680000,"dur":15000},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742695000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742695000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742695000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742695000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742695000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742695000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742695000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742695000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742695000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742695000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742695000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742695000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742695000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742695000,"dur":16000},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742711000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 2\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742695000,"dur":16000},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n"},"ph":"X","ts":1535541742711000,"dur":100},{"pid":1,"tid":1,"id":45,"name":"app task manager create merge manifest task","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742711000,"dur":100},{"pid":1,"tid":1,"id":46,"name":"app task manager create generate res values task","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742711000,"dur":100},{"pid":1,"tid":1,"id":47,"name":"app task manager create create renderscript task","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742711000,"dur":100},{"pid":1,"tid":1,"id":48,"name":"app task manager create merge resources task","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742711000,"dur":100},{"pid":1,"tid":1,"id":49,"name":"app task manager create merge assets task","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742711000,"dur":100},{"pid":1,"tid":1,"id":50,"name":"app task manager create build config task","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742711000,"dur":100},{"pid":1,"tid":1,"id":51,"name":"app task manager create process res task","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742711000,"dur":15000},{"pid":1,"tid":1,"id":52,"name":"app task manager create aidl task","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742726000,"dur":100},{"pid":1,"tid":1,"id":53,"name":"app task manager create shader task","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742726000,"dur":100},{"pid":1,"tid":1,"id":54,"name":"app task manager create ndk task","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742726000,"dur":100},{"pid":1,"tid":1,"id":55,"name":"app task manager create external native build task","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742726000,"dur":100},{"pid":1,"tid":1,"id":56,"name":"app task manager create merge jnilibs folders task","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742726000,"dur":100},{"pid":1,"tid":1,"id":57,"name":"app task manager create compile task","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742726000,"dur":100},{"pid":1,"tid":1,"id":58,"name":"app task manager create packaging task","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742726000,"dur":100},{"pid":1,"tid":1,"id":59,"name":"app task manager create lint task","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742726000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 3\nis_debug: false\nminify_enabled: true\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1535541742711000,"dur":15000},{"pid":1,"tid":1,"id":60,"name":"variant manager create tasks for variant","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n"},"ph":"X","ts":1535541742726000,"dur":16000},{"pid":1,"tid":1,"id":61,"name":"variant manager create tasks for variant","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n"},"ph":"X","ts":1535541742742000,"dur":31000},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n"},"ph":"X","ts":1535541742570000,"dur":281000},{"pid":1,"tid":1,"id":62,"name":"variant manager external native config values","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n"},"ph":"X","ts":1535541742851000,"dur":100},{"pid":1,"tid":1,"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n"},"ph":"X","ts":1535541742477000,"dur":374000},{"pid":1,"tid":0,"id":63,"name":"task: unknown task type","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541743023000,"dur":100},{"pid":1,"tid":0,"id":64,"name":"task: app pre build","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\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":1535541743039000,"dur":875000},{"pid":1,"tid":0,"id":65,"name":"task: aidl compile","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\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":1535541743914000,"dur":78000},{"pid":1,"tid":0,"id":66,"name":"task: renderscript 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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\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":1535541744007000,"dur":79000},{"pid":1,"tid":0,"id":67,"name":"task: check manifest","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\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":1535541744086000,"dur":100},{"pid":1,"tid":0,"id":68,"name":"task: generate build config","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\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":1535541744086000,"dur":15000},{"pid":1,"tid":0,"id":69,"name":"task: prepare lint jar","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 119\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541744101000,"dur":100},{"pid":1,"tid":0,"id":70,"name":"task: merge source set folders","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\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":1535541744101000,"dur":31000},{"pid":1,"tid":0,"id":71,"name":"task: shader compile","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\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":1535541744132000,"dur":100},{"pid":1,"tid":0,"id":72,"name":"task: unknown task type","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541744132000,"dur":100},{"pid":1,"tid":0,"id":73,"name":"task: merge source set folders","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\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":1535541744148000,"dur":63000},{"pid":1,"tid":0,"id":74,"name":"task: google services","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 28\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1535541744211000,"dur":124000},{"pid":1,"tid":0,"id":75,"name":"task: compatible screens manifest","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\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":1535541744335000,"dur":16000},{"pid":1,"tid":0,"id":76,"name":"task: merge manifests","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\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":1535541744367000,"dur":609000},{"pid":1,"tid":0,"id":77,"name":"task: unknown task type","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 0\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1535541744976000,"dur":266000},{"pid":1,"tid":0,"id":78,"name":"task: generate res values","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\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":1535541745242000,"dur":15000},{"pid":1,"tid":0,"id":79,"name":"task: unknown task type","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541745273000,"dur":100},{"pid":1,"tid":0,"id":80,"name":"task: merge resources","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 40\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1535541745288000,"dur":1609000},{"pid":1,"tid":0,"id":81,"name":"task: splits discovery","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\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":1535541746897000,"dur":16000},{"pid":1,"tid":0,"id":82,"name":"task: process android resources","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: true\nuse_legacy_multidex: true\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 16\n}\ntarget_sdk_version {\n api_level: 23\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":1535541746913000,"dur":3827000},{"pid":1,"tid":0,"id":83,"name":"task: unknown task type","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1535541750740000,"dur":100},{"pid":1,"tid":0,"id":84,"name":"task: test pre build","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 93\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541750740000,"dur":156000},{"pid":1,"tid":0,"id":85,"name":"task: aidl compile","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 1\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541750896000,"dur":94000},{"pid":1,"tid":0,"id":86,"name":"task: process test manifest","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 53\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541751006000,"dur":31000},{"pid":1,"tid":0,"id":87,"name":"task: renderscript compile","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 54\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541751037000,"dur":16000},{"pid":1,"tid":0,"id":88,"name":"task: generate build config","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 24\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541751053000,"dur":15000},{"pid":1,"tid":0,"id":89,"name":"task: generate res values","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 26\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541751068000,"dur":100},{"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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541751068000,"dur":100},{"pid":1,"tid":0,"id":91,"name":"task: merge resources","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\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 40\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541751084000,"dur":265000},{"pid":1,"tid":0,"id":92,"name":"task: splits discovery","args":{"span_id":"92","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 87\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541751349000,"dur":100},{"pid":1,"tid":0,"id":93,"name":"task: process android resources","args":{"span_id":"93","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 51\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541751349000,"dur":63000},{"pid":1,"tid":0,"id":94,"name":"task: unknown task type","args":{"span_id":"94","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541751412000,"dur":100},{"pid":1,"tid":0,"id":95,"name":"task: mockable android jar","args":{"span_id":"95","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n","task":"type: 42\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1535541751428000,"dur":100},{"pid":1,"tid":1,"id":96,"name":"base plugin build finished","args":{"span_id":"96","project":"id: 1\nandroid_plugin_version: \"3.0.1\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-25\"\nsplits {\n}\n"},"ph":"X","ts":1535541751428000,"dur":100}] |
{
"access_dt": null,
"attributes": null,
"cite_metadata": null,
"data_qualifier": null,
"description": "ABSTRACT: The SE-590 Reflectance Factors and Radiances Measured from a Helicopter Data Set were collected using the helicopter-borne SE-590 during Intensive Field Campaign 5 (IFC-5) in 1989. These data were collected at 17 different grid locations within the FIFE study area. Data were collected on 6 days from July 28, 1989 through August 8, 1989, when sky conditions were clear. The helicopter missions were designed to provide a means of spectrally characterizing each FIFE site and provide an intermediate scale of sampling between that of the surface measurements and the higher altitude aircraft and spacecraft multispectral imaging devices. The SE-590 instrumentation was chosen to provide compatibility with surface-based radiometers and TM spacecraft sensors. Off-nadir measurements were made as a means of providing more accurate estimates of hemispherical reflectance and for use with bi-directional reflectance models.",
"description_attribution": "http://daac.ornl.gov//FIFE/guides/SE-590_Refl_Rad.html",
"doi": "10.3334/ORNLDAAC/87",
"end_time": "1989-08-08T00:00:00",
"href": "http://data.globalchange.gov/dataset/nasa-ornldaac-87.json",
"identifier": "nasa-ornldaac-87",
"lat_max": "39.12",
"lat_min": "38.98",
"lon_max": "-96.45",
"lon_min": "-96.61",
"name": "SE-590 Reflectance & Radiances (FIFE)",
"native_id": "FIFE_SE_HELO",
"processing_level": null,
"publication_year": null,
"release_dt": "1994-01-01T00:00:00",
"scale": null,
"scope": null,
"spatial_extent": null,
"spatial_ref_sys": null,
"spatial_res": null,
"start_time": "1989-07-28T00:00:00",
"temporal_extent": null,
"temporal_resolution": null,
"type": null,
"uri": "/dataset/nasa-ornldaac-87",
"url": "http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=87",
"variables": null,
"version": null,
"vertical_extent": null
} |
{"code":"5308122007","province_code":"53","regency_code":"5308","district_code":"530812","name":"LIABEKE"} |
{"Go_out": 2140.48, "Go_to_Toilet": 1329.51, "Go_to_Bathroom": 1586.05, "Sleep": 1762.65, "Dress_up": 1868.61, "Watch_TV": 1669.55, "Dining": 1121.65} |
{
"collections": [
"Kink Raw Test Shoots"
],
"description": "Real, unscripted, non-edited, real-time action. The premise is simple: Tie up hot girl, flog hot girl until she screams, \"Tickle me!\" Tickle girl until she screams, \"Flog me!\" Do not let up, do not let her catch her breath, and when she can't take it any more make her cum! Rinse and repeat!\nMake no mistake -- this is a brutal attack on the senses, and the girl never has a chance. One minute she's in severe pain, the next laughing hysterically out of control; then again in severe pain, then screaming orgasms, then it starts all over with no breaks and no let up, just an overload of hell. (Hell for the girl, heaven for us.)",
"directors": [
{
"name": "Matt Williams",
"person_id": 51
}
],
"models": [
{
"name": "Ariel X",
"person_id": 10464
}
],
"release_date": "2008-11-03",
"scene_id": 5750,
"tags": [
"Flogging",
"Pain",
"shaved",
"Straight",
"Tickling"
],
"title": "Whip or Tickle 1"
} |
{
"@context": "http://iiif.io/api/presentation/2/context.json",
"@id": "https://geniza.princeton.edu/annotations/search/?uri=https%3A%2F%2Ffiggy.princeton.edu%2Fconcern%2Fscanned_resources%2F414d8145-1b64-4779-ad93-7352f7ef690d%2Fmanifest%2Fcanvas%2Fa4cb230b-f524-4a11-a1d4-febac9becffc&manifest=https%3A%2F%2Fgeniza.princeton.edu%2Fdocuments%2F2608%2Fiiif%2Fmanifest%2F",
"@type": "sc:AnnotationList",
"resources": [
{
"id": "https://geniza.princeton.edu/annotations/4e7bb80a-8476-4b3a-a14f-7361e0a53321/",
"type": "Annotation",
"created": "2022-10-07T01:17:22.568974+00:00",
"modified": "2022-10-07T01:17:22.568986+00:00",
"body": [
{
"type": "TextualBody",
"label": "verso",
"value": "<ol>\n<li>\u05d5\u05d9\u05e8\u05d0 \u05dc\u05da \u05d5\u05de\u05e2\u05da \u05d5\u05dc\u05d9 \u05d5\u05d7\u05d0\u05e4\u05e5 \u05e4\u05d9 \u05d2\u05de\u05d9\u05e2 \u05d0\u05de\u05e8\u05d5\u05da \u05d5\u05d3\u05db\u05e8\u05ea \u05d9\u05d5\u05dc\u05d3 . . . \u05e0\u05d2\u05de\u05e2 \u05dc\u05da \u05e0 \u05d3\u05d9\u05e0 \u05d5\u05e0\u05d1\u05d3\u05dc\u05d4\u05d0 \u05dc\u05da \u05d5\u05e0\u05d5\u05d2\u05d4\u05d0</li>\n<li>\u05dc\u05da \u05e4\u05d0\u05de\u05d0 \u05d1\u05df .\u05d5\u05dc \u05e4\u05de\u05d0 \u05d4\u05d5 \u05e9\u05d9\u05df \u05d9\u05d7.\u05dc \u05d0\u05dc\u05d9 \u05d1\u05d7\u05e6\u05e8 \u05d0\u05d1\u05d9\u05da \u05d5\u05d0\u05de\u05d0 \u05d0\u05dc\u05d7\u05e8\u05d9\u05e8 \u05e7\u05d3 \u05d5\u05d0\u05dc\u05dc\u05d4 \u05d7\u05e6\u05e8\u05ea \u05d0\u05dc\u05d9\u05d4 \u05de\u05d3\u05d4</li>\n<li>\u05d1\u05e2\u05d3 \u05de\u05d3\u05d4 \u05d5\u05d0\u05e1\u05ea\u05e7\u05e8 \u05d0\u05e0\u05d4 \u05e4\u05d9 \u05d0\u05d9. \u05de\u05df \u05d0\u05e9\u05d4\u05d3 \u05d0\u05d3\u05db\u05dc \u05d9\u05d3\u05e4\u05e2 \u05d5\u05d0\u05df \u05dc\u05d8\u05e4\u05ea\u05d4 \u05d0\u05db\u05ea\u05d1 \u05d5\u05d0\u05df \u05ea\u05e6\u05e2\u05e4\u05ea\u05d4 \u05ea\u05d1\u05d3\u05d0</li>\n<li>\u05ea\u05d2\u05e8\u05d9 \u05dc\u05e9\u05d5. \u05db\u05dc\u05d9\u05e3 \u05d0\u05dc\u05de\u05d5\u05e4\u05e7\u05d4 \u05e4\u05d0\u05e2\u05dc\u05dd \u05e4\u05d0\u05e2\u05dc\u05dd \u05d3\u05dc\u05da \u05dc\u05d0\u05df \u05d0\u05dc\u05db\u05dc\u05e7 . . .\u05d4 \u05e4\u05d9\u05d4 \u05db\u05d1\u05e8 \u05d0\u05df \u05e2\u05d8\u05d9\u05dd \u05d5\u05db\u05e1\u05e8 \u05d0\u05dc\u05e7\u05de\u05d7</li>\n<li>\u05d5\u05d0\u05dc\u05db\u05d1\u05d6 \u05d0\u05dc\u05d3\u05d9 \u05dc\u05d0 \u05d9\u05e1\u05ea\u05d2\u05e0\u05d0 \u05e2\u05e0\u05d4 \u05d5\u05e7\u05d3 \u05e7\u05dc\u05ea \u05dc\u05da \u05e4\u05d9 \u05db\u05ea\u05d1\u05d9 \u05d0\u05df \u05d0\u05db\u05ea\u05e8\u05ea \u05e0\u05e7\u05e8\u05e5 \u05e0 \u05d3\u05d9\u05e0 \u05de\u05df \u05e9\u05d9 \u05d0\u05dc\u05d2\u05d9\u05e8</li>\n<li>\u05d0\u05dc\u05d9 \u05d0\u05df \u05ea\u05e6\u05dc \u05dc\u05de\u05e6\u05e8 \u05ea\u05e8\u05d3\u05d4\u05d0 \u05e4\u05e2\u05dc\u05ea \u05e4\u05dc\u05dd \u05e0\u05e8\u05d0 \u05e4\u05d9 \u05d3\u05dc\u05da \u05d2\u05d5\u05d1 \u05d5\u05d0\u05e0\u05ea\u05dd \u05d0\u05d1\u05e6\u05e8 \u05d1\u05e9\u05d5\u05e8\u05dd \u05d5\u05dc\u05dd \u05e0\u05e9\u05ea\u05e8\u05d9</li>\n<li>\u05dc\u05d4 \u05e9\u05d9 \u05d5\u05dc. \u05d5\u05d0\u05dc\u05dc\u05d4 \u05e7.\u05ea \u05dc\u05d4\u05d3\u05d4 \u05dc\u05e2\u05de\u05e8\u05d9 \u05dc\u05d5 \u05d0\u05e8\u05ea\u05e7\u05d1\u05ea \u05de\u05df \u05d0\u05dc\u05d5\u05db\u05d9\u05dc \u05e4\u05d0\u05df \u05d0\u05db\u05ea\u05e8\u05ea \u05ea\u05db\u05ea\u05d1 \u05d0\u05dc. . \u05d2\u05d4\u05dc\u05da</li>\n<li>\u05dc\u05d0\u05df \u05de\u05d0 \u05d9\u05e2\u05d6 \u05de\u05df \u05d9\u05d8\u05dc\u05e2 \u05d5\u05dc\u05d9\u05e1 \u05e0\u05e9\u05ea\u05e8\u05d9 \u05dc\u05d4 \u05d1\u05e6\u05e2\u05d4 \u05d5\u05dc\u05d0 \u05e0\u05e9\u05ea\u05e8\u05d9 \u05dc\u05d4 \u05d0\u05dc\u05d9 \u05e4\u05e6\u05d4 \u05d5\u05e0\u05e8\u05d9\u05d7 \u05e0. . . \u05de\u05df \u05d0\u05dc. . \u05d1\u05e2\u05dc\u05de \u05ea</li>\n<li>\u05d3\u05d0\u05dc\u05da \u05ea\u05db\u05ea\u05e5 \u05de\u05e0\u05d9 \u05d1\u05d0\u05ea\u05dd \u05d0\u05e1\u05dc\u05dd \u05d5\u05de\u05d5\u05dc\u05d0\u05d9 \u05d0\u05e9\u05d9\u05da \u05d5\u05d0\u05dc\u05d3\u05da \u05d0\u05e4\u05e6\u05dc \u05d0\u05e1\u05dc\u05dd \u05d5\u05dc\u05d0 \u05ea\u05e7\u05d8\u05e2 \u05e2\u05e0\u05d9 \u05db\u05ea\u05d1\u05da \u05d1\u05d5\u05e6\u05d5\u05dc \u05d9\u05d5\u05e1\u05e3</li>\n<li>\u05d5\u05dc\u05d0 \u05ea\u05dc\u05de\u05d5 \u05d9\u05d5\u05e1\u05e3 \u05e4\u05d9 \u05ea\u05d0\u05db\u05e8\u05d4 \u05dc\u05d0\u05df \u05d2\u05e8\u05d0 \u05e2\u05dc\u05d9\u05d4 \u05e9\u05d9\u05df \u05d5\u05d8\u05d0\u05dc \u05e4\u05d9\u05d4 \u05d0\u05e9\u05d3\u05d4 \u05d5\u05d3\u05d0\u05dc\u05da \u05de\u05d5\u05dc\u05d0\u05d9 \u05e8\u05d1\u05d9 \u05e0\u05d4\u05e8\u05d9 \u05d0\u05e9\u05ea\u05e8\u05d0 \u05e4\u05d9 \u05db\u05e8\u05d5\u05d2\u05d4</li>\n<li>\u05e4. \u05d0\u05d1\u05df \u05d0\u05d1\u05d9 \u05d6\u05db\u05e8\u05d9 \u05d9\u05db\u05e8\u05d4 \u05e4\u05dc\u05dd \u05d9\u05d2\u05d3\u05d4 \u05e4\u05d9\u05d7\u05dc \u05e4\u05d9 \u05d0\u05d5\u05d3\u05d4\u05dd \u05d9\u05d5\u05e1\u05e3 \u05d5\u05db. . . . . .\u05d0 \u05ea\u05d7\u05ea \u05d0\u05dc\u05db\u05ea\u05d1 \u05d5\u05db\u05d0\u05df \u05e2\u05dc\u05d0 \u05e7\u05dc\u05d1\u05d9 \u05de\u05e0\u05d4</li>\n<li>\u05de\u05d0 \u05d0\u05dc\u05dc\u05d4 \u05ea\u05e2\u05dc\u05d0 \u05d9\u05e2\u05dc\u05de\u05d4 \u05d0\u05dc\u05d9 \u05d0\u05df \u05e1\u05d4\u05dc \u05d0\u05dc\u05dc\u05d4 \u05d5\u05e2\u05e0\u05d9 \u05d1\u05d9\u05d4 \u05d0\u05d1\u05df \u05d0. .\u05e4 \u05d5. . . .\u05ea \u05d0\u05dc\u05de\u05ea\u05dc\u05d4 \u05dc\u05dc. . . . . . \u05d5\u05e9\u05dc\u05d5\u05dd</li>\n<li>\u05d5\u05d0\u05e0\u05d0 \u05d0\u05e1\u05dc\u05da \u05d0\u05df \u05ea\u05db\u05ea\u05d1 \u05e2\u05dc\u05d0 \u05dc\u05d0\u05e2\u05d3\u05dc \u05dc\u05de\u05d5\u05e1\u05d9 \u05d0\u05d1\u05df \u05d9\u05d4\u05d5\u05d3\u05d4 \u05d5\u05ea\u05e2\u05dc\u05dd \u05e2\u05dc\u05d9\u05d4\u05d0 \u05d7\u05df \u05e8\u05d7\u05dc \u05e2\u05dc\u05de\u05ea \u05d0. . \u05dc\u05d5\u05d3\u05dc. . \u05d5\u05e2\u05dc\u05de\u05ea \u05d1\u05df \u05dc\u05d0\u05df</li>\n<li>\u05de\u05df \u05e4\u05d5\u05e7 \u05d5\u05ea\u05db\u05ea\u05d1 \u05e4\u05d9 \u05d5\u05e6\u05d8 \u05d0\u05e8\u05d5\u05e8 \u05d7\u05df \u05d5\u05dc\u05e2\u05dc\u05da \u05ea\u05e7\u05d8\u05e2 \u05dc\u05d9 \u05de\u05df \u05d1\u05d9 \u05e2\u05d3\u05dc \u05e2\u05d3\u05dc\u05d9\u05df \u05e4\u05d9 \u05d5\u05d0\u05e9\u05d3\u05d4 \u05e9\u05d3\u05d4 \u05d5\u05dc\u05d9 \u05db\u05d0\u05df \u05e4\u05d0\u05ea \u05de\u05df \u05de\u05e8\u05e5</li>\n<li>\u05e4\u05d9 [. . . . .] \u05e2\u05d3\u05dc \u05de\u05df \u05ea\u05d7\u05ea \u05d0. .\u05d4 \u05d5\u05dc\u05e2\u05dc\u05da \u05ea\u05e2\u05dc\u05dd \u05dc\u05d9 \u05d0\u05dc\u05e2\u05d3\u05dc\u05d9\u05df \u05d0\u05dc. .\u05d5. .\u05e1\u05e2 \u05e6\u05e8\u05e8\u05da \u05e4\u05d9 \u05ea\u05de\u05d9\u05d6\u05d4\u05d0 . . . . \u05d0\u05e2\u05d3\u05dc</li>\n</ol>",
"format": "text/html",
"TextInput": "rtl"
}
],
"target": {
"source": {
"id": "https://figgy.princeton.edu/concern/scanned_resources/414d8145-1b64-4779-ad93-7352f7ef690d/manifest/canvas/a4cb230b-f524-4a11-a1d4-febac9becffc",
"type": "Canvas",
"partOf": {
"id": "https://geniza.princeton.edu/documents/2608/iiif/manifest/",
"type": "Manifest"
}
},
"selector": {
"type": "FragmentSelector",
"value": "xywh=percent:1,1,98,98",
"conformsTo": "http://www.w3.org/TR/media-frags/"
}
},
"dc:source": "https://geniza.princeton.edu/sources/765/",
"motivation": [
"sc:supplementing",
"transcribing"
],
"schema:position": 4
},
{
"id": "https://geniza.princeton.edu/annotations/26c3c2a6-bafb-4b55-b723-41353ba86786/",
"type": "Annotation",
"created": "2022-10-07T01:17:22.573011+00:00",
"modified": "2022-10-07T01:17:22.573026+00:00",
"body": [
{
"type": "TextualBody",
"label": "right margin, straight lines at 90 degrees to main text",
"value": "<p>\u05e1\u05d0\u05dc\u05ea \u05d0\u05df \u05e9\u05d0 \u05d0\u05dc\u05dc\u05d4 \u05d5\u05e7\u05d3 \u05db\u05e8\u05d2 \u05d0\u05d1\u05d9 \u05d0\u05dc</p>\n<p>\u05e4\u05e8\u05d2 \u05d0\u05e6\u05d9\u05e8\u05e4\u05d9 \u05d0\u05d5\u05dc \u05dc\u05e1\u05e7\u05dc\u05d9\u05d4</p>\n<p>\u05d5\u05db\u05ea\u05d1\u05ea</p>\n<p>\u05de\u05e2\u05d4 \u05db\u05ea\u05d1 . . . .</p>\n<p>\u05d0\u05e0\u05d0 \u05d5\u05d5\u05d0\u05dc\u05d4 \u05d0\u05db\u05e8\u05d2</p>\n<p>\u05de\u05e2 \u05e2.\u05d1</p>\n<p>\u05d9\u05d5\u05e6\u05dc\u05d4 [. . . .] \u05d1\u05e2\u05e5 [</p>",
"format": "text/html",
"TextInput": "rtl"
}
],
"target": {
"source": {
"id": "https://figgy.princeton.edu/concern/scanned_resources/414d8145-1b64-4779-ad93-7352f7ef690d/manifest/canvas/a4cb230b-f524-4a11-a1d4-febac9becffc",
"type": "Canvas",
"partOf": {
"id": "https://geniza.princeton.edu/documents/2608/iiif/manifest/",
"type": "Manifest"
}
},
"selector": {
"type": "FragmentSelector",
"value": "xywh=percent:1,1,98,98",
"conformsTo": "http://www.w3.org/TR/media-frags/"
}
},
"dc:source": "https://geniza.princeton.edu/sources/765/",
"motivation": [
"sc:supplementing",
"transcribing"
],
"schema:position": 5
},
{
"id": "https://geniza.princeton.edu/annotations/4710ac0e-0736-4281-b782-8cfceaa49abc/",
"type": "Annotation",
"created": "2022-10-07T01:17:22.577048+00:00",
"modified": "2022-10-07T01:17:22.577060+00:00",
"body": [
{
"type": "TextualBody",
"label": "bottom margin, straight lines at 180 degrees to main text. Address.",
"value": "<p>\u05d5\u05d0\u05dc\u05d3\u05d9 \u05d5\u05d0\u05dc\u05e2\u05d6\u05d9\u05d6 \u05e2\u05dc\u05d9 \u05d0\u05d1\u05d5 \u05d0\u05dc\u05e1\u05e8\u05d5\u05e8 \u05e4\u05e8\u05d7 \u05d1\u05df \u05d0\u05e1\u05de\u05e2\u05d9\u05dc \u05d1\u05df \u05de\u05df \u05d9\u05d5\u05e1\u05e3 \u05d1\u05df \u05e4\u05e8\u05d7 \u05e0\u05e2 \u05e7\u05d0\u05d1\u05e1\u05d9 \u05d9\u05e6\u05dc \u05d1\u05d5\u05e6\u05d9\u05e8 \u05d0\u05df \u05e9\u05d0\u05dc\u05dc\u05d4</p>\n<p>\u05e4\u05e8\u05d7 \u05e0\u05e2 \u05e7\u05d0\u05d1\u05e1\u05d9 \u05d0\u05d8\u05d0\u05dc \u05d0\u05dc\u05dc\u05d4 \u05d1\u05e7\u05d0\u05d4 \u05d5\u05d0\u05d3\u05d0\u05dd \u05e1\u05dc\u05d0\u05de\u05ea\u05d4</p>",
"format": "text/html",
"TextInput": "rtl"
}
],
"target": {
"source": {
"id": "https://figgy.princeton.edu/concern/scanned_resources/414d8145-1b64-4779-ad93-7352f7ef690d/manifest/canvas/a4cb230b-f524-4a11-a1d4-febac9becffc",
"type": "Canvas",
"partOf": {
"id": "https://geniza.princeton.edu/documents/2608/iiif/manifest/",
"type": "Manifest"
}
},
"selector": {
"type": "FragmentSelector",
"value": "xywh=percent:1,1,98,98",
"conformsTo": "http://www.w3.org/TR/media-frags/"
}
},
"dc:source": "https://geniza.princeton.edu/sources/765/",
"motivation": [
"sc:supplementing",
"transcribing"
],
"schema:position": 6
}
]
} |
{"type": "Feature", "id": 1990721, "geometry": {"type": "MultiPolygon", "coordinates": [[[[73.722427, 55.010872], [73.722427, 55.055729], [73.677567, 55.055729], [73.677567, 55.010872], [73.722427, 55.010872]]]]}, "properties": {"woe:id": 1990721, "woe:parent_id": 12598899, "woe:name": "Bogoslovka", "woe:placetype": 7, "woe:placetype_name": "Town", "woe:lang": "ENG", "iso:country": "RU", "meta:provider": ["geoplanet:7.6.0", "geoplanet:7.8.1", "geoplanet:7.9.0", "geoplanet:7.10.0", "geoplanet:8.0.0", "woeplanet:8.0.0"], "meta:indexed": "2020-08-21T08:03:30.831808", "meta:updated": "2020-10-14T10:58:37.348880", "woe:adjacent": [2050602, 2093136, 2001173, 1993966, 1982758, 2099996, 2109164], "woe:hierarchy": {"continent": 24865671, "country": 23424936, "town": 0, "planet": 1, "county": 12598899, "suburb": 0, "state": 2346915, "region": 0, "localadmin": 0}, "woe:timezone_id": 56043608, "woe:concordances": {"qs:id": 1121620}, "woe:hash": "v9u3j4d8nqkc", "geom:min_latitude": 55.010872, "woe:centroid": [73.699997, 55.033298], "geom:latitude": 55.033298, "woe:max_longitude": 73.722427, "geom:max_longitude": 73.722427, "geom:centroid": [73.699997, 55.033298], "geom:max_latitude": 55.055729, "woe:bbox": [73.677567, 55.010872, 73.722427, 55.055729], "geom:bbox": [73.677567, 55.010872, 73.722427, 55.055729], "woe:min_latitude": 55.010872, "woe:min_longitude": 73.677567, "geom:longitude": 73.699997, "geom:hash": "v9u3j4d8nqkc", "woe:latitude": 55.033298, "geom:min_longitude": 73.677567, "woe:longitude": 73.699997, "woe:max_latitude": 55.055729, "woe:repo": "woeplanet-town-ru", "geom:area": 14323826.334629059, "woe:scale": 16}} |
["?isRightToLeft@Locale@icu_61@@QEBACXZ"] |
{"Duskwood Vanguard_AFM":{"mainCount":4,"sideCount":0},"Foraging Beetle_LNG":{"mainCount":2,"sideCount":0},"Mana Ascetic_PSA":{"mainCount":3,"sideCount":0},"Avatar of the Natural_SUR":{"mainCount":4,"sideCount":0},"Splitting Bloom_LNG":{"mainCount":4,"sideCount":0},"Joyous Explorer_LVS":{"mainCount":4,"sideCount":0},"Spitfireling_WAY":{"mainCount":2,"sideCount":0},"Tsang Jin, Master of the Jade Sea_PSA":{"mainCount":2,"sideCount":0},"Camouflaged Sprareos_TOW":{"mainCount":1,"sideCount":0},"Petal-Weaver Alexa_DOA":{"mainCount":1,"sideCount":0},"Kati Evalin, World Wanderer_DOA":{"mainCount":4,"sideCount":0},"Into the Unknown_WAY":{"mainCount":4,"sideCount":0},"Intrepid_WAY":{"mainCount":1,"sideCount":0},"Clay Mesa_LNG":{"mainCount":1,"sideCount":0},"Flourishing Dunes_ATB":{"mainCount":1,"sideCount":0},"Highland Dunes_ATB":{"mainCount":1,"sideCount":0},"Calcified Dunes_ATB":{"mainCount":1,"sideCount":0},"Ravaged Monument_ATB":{"mainCount":1,"sideCount":0},"Scorched Canyon_LNG":{"mainCount":1,"sideCount":0},"Sunlit Cactus_LNG":{"mainCount":1,"sideCount":0},"Unending Sands_LNG":{"mainCount":4,"sideCount":0},"Amber Hills_KZD":{"mainCount":3,"sideCount":0},"Snow-Covered Forest_DYA":{"mainCount":1,"sideCount":0},"Mountain_AFM":{"mainCount":1,"sideCount":0},"Forest_AFM":{"mainCount":1,"sideCount":0},"Plains_AFM":{"mainCount":1,"sideCount":0},"Timber Range_L":{"mainCount":4,"sideCount":0},"Bloodriver_NVA":{"mainCount":1,"sideCount":0},"The Last Sacred Gate_PSA":{"mainCount":1,"sideCount":0},"Purging Watchkeeper_PFP":{"mainCount":0,"sideCount":3},"Ruinous Naga//Spit on the Grave_KOD":{"mainCount":0,"sideCount":1},"Nature's Claim_GHQ":{"mainCount":0,"sideCount":2},"Out-of-Body Experience_LVS":{"mainCount":0,"sideCount":2},"Invalidate_PFP":{"mainCount":0,"sideCount":2},"Roggar's Frenzy_AFM":{"mainCount":0,"sideCount":3},"Scorch_DOA":{"mainCount":0,"sideCount":2}} |
[{"pid":0,"ph":"i","name":"Memory sample","ts":1509874749690000,"args":{"JVM stats":"heap_memory_usage: 253992568\nnon_heap_memory_usage: 160554472\nloaded_class_count: 15769\nthread_count: 26\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":1509874749754000,"args":{"JVM stats":"heap_memory_usage: 96128208\nnon_heap_memory_usage: 160654744\nloaded_class_count: 15769\nthread_count: 35\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 1\n gc_time: 14\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":1509874749754001,"args":{"JVM stats":"heap_memory_usage: 96128208\nnon_heap_memory_usage: 160654744\nloaded_class_count: 15769\nthread_count: 35\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":1509874749801000,"args":{"JVM stats":"heap_memory_usage: 106891696\nnon_heap_memory_usage: 160619248\nloaded_class_count: 15769\nthread_count: 35\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":1509874749806000,"args":{"JVM stats":"heap_memory_usage: 107825064\nnon_heap_memory_usage: 160613224\nloaded_class_count: 15769\nthread_count: 35\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":1509874749815000,"args":{"JVM stats":"heap_memory_usage: 108314344\nnon_heap_memory_usage: 160558312\nloaded_class_count: 15769\nthread_count: 35\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":1509874749816000,"args":{"JVM stats":"heap_memory_usage: 108426848\nnon_heap_memory_usage: 160558312\nloaded_class_count: 15769\nthread_count: 35\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":1509874749817000,"args":{"JVM stats":"heap_memory_usage: 108426848\nnon_heap_memory_usage: 160558312\nloaded_class_count: 15769\nthread_count: 35\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":1509874749817001,"args":{"JVM stats":"heap_memory_usage: 108539296\nnon_heap_memory_usage: 160557864\nloaded_class_count: 15769\nthread_count: 35\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":1509874749818000,"args":{"JVM stats":"heap_memory_usage: 108539296\nnon_heap_memory_usage: 160540840\nloaded_class_count: 15769\nthread_count: 35\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":1509874749819000,"args":{"JVM stats":"heap_memory_usage: 108539296\nnon_heap_memory_usage: 160540840\nloaded_class_count: 15769\nthread_count: 35\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":1509874749847000,"args":{"JVM stats":"heap_memory_usage: 113643256\nnon_heap_memory_usage: 160464296\nloaded_class_count: 15769\nthread_count: 35\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":1509874749848000,"args":{"JVM stats":"heap_memory_usage: 113643256\nnon_heap_memory_usage: 160464296\nloaded_class_count: 15769\nthread_count: 35\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":1509874749852000,"args":{"JVM stats":"heap_memory_usage: 114359024\nnon_heap_memory_usage: 160437352\nloaded_class_count: 15769\nthread_count: 35\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":1509874749853000,"args":{"JVM stats":"heap_memory_usage: 114359024\nnon_heap_memory_usage: 160437352\nloaded_class_count: 15769\nthread_count: 35\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":1509874749857000,"args":{"JVM stats":"heap_memory_usage: 116422120\nnon_heap_memory_usage: 160286440\nloaded_class_count: 15769\nthread_count: 35\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":1509874749857001,"args":{"JVM stats":"heap_memory_usage: 116422120\nnon_heap_memory_usage: 160286440\nloaded_class_count: 15769\nthread_count: 35\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":1509874749874000,"args":{"JVM stats":"heap_memory_usage: 117440712\nnon_heap_memory_usage: 160283688\nloaded_class_count: 15769\nthread_count: 35\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":1509874750062000,"args":{"JVM stats":"heap_memory_usage: 165444848\nnon_heap_memory_usage: 160772792\nloaded_class_count: 15773\nthread_count: 36\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":1509874750064000,"args":{"JVM stats":"heap_memory_usage: 165706344\nnon_heap_memory_usage: 160772792\nloaded_class_count: 15773\nthread_count: 36\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":1509874750064001,"args":{"JVM stats":"heap_memory_usage: 165818872\nnon_heap_memory_usage: 160772792\nloaded_class_count: 15773\nthread_count: 36\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":1509874750065000,"args":{"JVM stats":"heap_memory_usage: 165818872\nnon_heap_memory_usage: 160772792\nloaded_class_count: 15773\nthread_count: 36\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":1509874750068000,"args":{"JVM stats":"heap_memory_usage: 166528216\nnon_heap_memory_usage: 160791288\nloaded_class_count: 15773\nthread_count: 36\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":1509874750070000,"args":{"JVM stats":"heap_memory_usage: 166640712\nnon_heap_memory_usage: 160791288\nloaded_class_count: 15773\nthread_count: 36\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":1509874750072000,"args":{"JVM stats":"heap_memory_usage: 167002736\nnon_heap_memory_usage: 160791320\nloaded_class_count: 15773\nthread_count: 36\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":1509874750073000,"args":{"JVM stats":"heap_memory_usage: 167002736\nnon_heap_memory_usage: 160791320\nloaded_class_count: 15773\nthread_count: 36\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":1509874750082000,"args":{"JVM stats":"heap_memory_usage: 168479992\nnon_heap_memory_usage: 160825832\nloaded_class_count: 15773\nthread_count: 36\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":1509874750102000,"args":{"JVM stats":"heap_memory_usage: 170067504\nnon_heap_memory_usage: 160836824\nloaded_class_count: 15773\nthread_count: 36\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":1509874750103000,"args":{"JVM stats":"heap_memory_usage: 170067504\nnon_heap_memory_usage: 160836824\nloaded_class_count: 15773\nthread_count: 36\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":1509874750104000,"args":{"JVM stats":"heap_memory_usage: 170180032\nnon_heap_memory_usage: 160836824\nloaded_class_count: 15773\nthread_count: 36\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":1509874750112000,"args":{"JVM stats":"heap_memory_usage: 171716968\nnon_heap_memory_usage: 160836824\nloaded_class_count: 15773\nthread_count: 36\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":1509874750113000,"args":{"JVM stats":"heap_memory_usage: 171829496\nnon_heap_memory_usage: 160836824\nloaded_class_count: 15773\nthread_count: 36\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":1509874750120000,"args":{"JVM stats":"heap_memory_usage: 172990192\nnon_heap_memory_usage: 160836824\nloaded_class_count: 15773\nthread_count: 36\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":1509874750121000,"args":{"JVM stats":"heap_memory_usage: 173102640\nnon_heap_memory_usage: 160836824\nloaded_class_count: 15773\nthread_count: 36\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":1509874750164000,"args":{"JVM stats":"heap_memory_usage: 181852944\nnon_heap_memory_usage: 160880920\nloaded_class_count: 15773\nthread_count: 41\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":1509874750167000,"args":{"JVM stats":"heap_memory_usage: 182431848\nnon_heap_memory_usage: 160882288\nloaded_class_count: 15773\nthread_count: 41\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":1509874750167001,"args":{"JVM stats":"heap_memory_usage: 182669080\nnon_heap_memory_usage: 160880176\nloaded_class_count: 15773\nthread_count: 41\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":1509874750168000,"args":{"JVM stats":"heap_memory_usage: 182669080\nnon_heap_memory_usage: 160873424\nloaded_class_count: 15773\nthread_count: 41\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":1509874750169000,"args":{"JVM stats":"heap_memory_usage: 182677304\nnon_heap_memory_usage: 160874792\nloaded_class_count: 15773\nthread_count: 41\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":1509874750169001,"args":{"JVM stats":"heap_memory_usage: 182842680\nnon_heap_memory_usage: 160874792\nloaded_class_count: 15773\nthread_count: 41\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":1509874750183000,"args":{"JVM stats":"heap_memory_usage: 184634480\nnon_heap_memory_usage: 160907896\nloaded_class_count: 15773\nthread_count: 41\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":1509874750328000,"args":{"JVM stats":"heap_memory_usage: 226650168\nnon_heap_memory_usage: 160973400\nloaded_class_count: 15773\nthread_count: 44\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":1509874750338000,"args":{"JVM stats":"heap_memory_usage: 228137160\nnon_heap_memory_usage: 160973400\nloaded_class_count: 15773\nthread_count: 44\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":1509874750369000,"args":{"JVM stats":"heap_memory_usage: 240847032\nnon_heap_memory_usage: 160984456\nloaded_class_count: 15773\nthread_count: 44\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":1509874750371000,"args":{"JVM stats":"heap_memory_usage: 241088376\nnon_heap_memory_usage: 160984520\nloaded_class_count: 15773\nthread_count: 44\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":1509874750374000,"args":{"JVM stats":"heap_memory_usage: 241591768\nnon_heap_memory_usage: 160984520\nloaded_class_count: 15773\nthread_count: 44\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":1509874750487000,"args":{"JVM stats":"heap_memory_usage: 253700240\nnon_heap_memory_usage: 161177632\nloaded_class_count: 15773\nthread_count: 54\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":1509874750494000,"args":{"JVM stats":"heap_memory_usage: 254210968\nnon_heap_memory_usage: 161186816\nloaded_class_count: 15773\nthread_count: 54\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":1509874750496000,"args":{"JVM stats":"heap_memory_usage: 254323416\nnon_heap_memory_usage: 161188704\nloaded_class_count: 15773\nthread_count: 54\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":1509874750497000,"args":{"JVM stats":"heap_memory_usage: 254323416\nnon_heap_memory_usage: 161188704\nloaded_class_count: 15773\nthread_count: 54\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":1509874750497001,"args":{"JVM stats":"heap_memory_usage: 254323416\nnon_heap_memory_usage: 161186528\nloaded_class_count: 15773\nthread_count: 54\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":1509874750523000,"args":{"JVM stats":"heap_memory_usage: 95162264\nnon_heap_memory_usage: 161173840\nloaded_class_count: 15773\nthread_count: 44\ngarbage_collection_stats {\n name: \"PS Scavenge\"\n gc_collections: 1\n gc_time: 15\n}\ngarbage_collection_stats {\n name: \"PS MarkSweep\"\n gc_collections: 0\n gc_time: 0\n}\n"}},{"pid":1,"tid":35,"id":2,"name":"base plugin project configure","args":{"span_id":"2","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n"},"ph":"X","ts":1509874749691000,"dur":4000},{"pid":1,"tid":35,"id":3,"name":"base plugin project base extension creation","args":{"span_id":"3","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n"},"ph":"X","ts":1509874749695000,"dur":2000},{"pid":1,"tid":35,"id":5,"name":"task manager create tasks","args":{"span_id":"5","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n"},"ph":"X","ts":1509874749697000,"dur":1000},{"pid":1,"tid":35,"id":4,"name":"base plugin project tasks creation","args":{"span_id":"4","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n"},"ph":"X","ts":1509874749697000,"dur":1000},{"pid":1,"tid":35,"id":8,"name":"variant manager create variants","args":{"span_id":"8","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n"},"ph":"X","ts":1509874749700000,"dur":1000},{"pid":1,"tid":35,"id":9,"name":"variant manager create tests tasks","args":{"span_id":"9","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n"},"ph":"X","ts":1509874749701000,"dur":3000},{"pid":1,"tid":35,"id":11,"name":"app task manager create merge manifest task","args":{"span_id":"11","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749704000,"dur":1000},{"pid":1,"tid":35,"id":12,"name":"app task manager create generate res values task","args":{"span_id":"12","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749705000,"dur":100},{"pid":1,"tid":35,"id":13,"name":"app task manager create create renderscript task","args":{"span_id":"13","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749705000,"dur":100},{"pid":1,"tid":35,"id":14,"name":"app task manager create merge resources task","args":{"span_id":"14","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749705000,"dur":100},{"pid":1,"tid":35,"id":15,"name":"app task manager create merge assets task","args":{"span_id":"15","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749705000,"dur":1000},{"pid":1,"tid":35,"id":16,"name":"app task manager create build config task","args":{"span_id":"16","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749706000,"dur":100},{"pid":1,"tid":35,"id":17,"name":"app task manager create process res task","args":{"span_id":"17","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749706000,"dur":2000},{"pid":1,"tid":35,"id":18,"name":"app task manager create aidl task","args":{"span_id":"18","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749708000,"dur":1000},{"pid":1,"tid":35,"id":19,"name":"app task manager create shader task","args":{"span_id":"19","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749709000,"dur":100},{"pid":1,"tid":35,"id":20,"name":"app task manager create ndk task","args":{"span_id":"20","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749709000,"dur":100},{"pid":1,"tid":35,"id":21,"name":"app task manager create external native build task","args":{"span_id":"21","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749709000,"dur":100},{"pid":1,"tid":35,"id":22,"name":"app task manager create merge jnilibs folders task","args":{"span_id":"22","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749709000,"dur":1000},{"pid":1,"tid":35,"id":23,"name":"app task manager create compile task","args":{"span_id":"23","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749710000,"dur":4000},{"pid":1,"tid":35,"id":24,"name":"app task manager create packaging task","args":{"span_id":"24","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749714000,"dur":1000},{"pid":1,"tid":35,"id":25,"name":"app task manager create lint task","args":{"span_id":"25","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749715000,"dur":100},{"pid":1,"tid":35,"id":10,"name":"variant manager create tasks for variant","args":{"span_id":"10","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874749704000,"dur":11000},{"pid":1,"tid":35,"id":26,"name":"variant manager create tasks for variant","args":{"span_id":"26","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n"},"ph":"X","ts":1509874749715000,"dur":2000},{"pid":1,"tid":35,"id":27,"name":"variant manager create tasks for variant","args":{"span_id":"27","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n"},"ph":"X","ts":1509874749717000,"dur":21000},{"pid":1,"tid":35,"id":7,"name":"variant manager create android tasks","args":{"span_id":"7","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n"},"ph":"X","ts":1509874749699000,"dur":39000},{"pid":1,"tid":35,"id":28,"name":"variant manager external native config values","args":{"span_id":"28","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n"},"ph":"X","ts":1509874749738000,"dur":100},{"pid":1,"tid":35,"id":6,"name":"base plugin create android tasks","args":{"span_id":"6","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n"},"ph":"X","ts":1509874749698000,"dur":40000},{"pid":1,"tid":0,"id":29,"name":"task: build info loader","args":{"span_id":"29","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 7\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1509874749753000,"dur":1000},{"pid":1,"tid":0,"id":30,"name":"task: unknown task type","args":{"span_id":"30","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1509874749754000,"dur":100},{"pid":1,"tid":0,"id":31,"name":"task: app pre build","args":{"span_id":"31","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874749755000,"dur":46000},{"pid":1,"tid":0,"id":32,"name":"task: aidl compile","args":{"span_id":"32","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874749801000,"dur":5000},{"pid":1,"tid":0,"id":33,"name":"task: renderscript compile","args":{"span_id":"33","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874749807000,"dur":8000},{"pid":1,"tid":0,"id":34,"name":"task: check manifest","args":{"span_id":"34","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874749815000,"dur":1000},{"pid":1,"tid":0,"id":35,"name":"task: generate build config","args":{"span_id":"35","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874749816000,"dur":100},{"pid":1,"tid":0,"id":36,"name":"task: prepare lint jar","args":{"span_id":"36","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","task":"type: 119\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1509874749817000,"dur":100},{"pid":1,"tid":0,"id":37,"name":"task: generate res values","args":{"span_id":"37","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874749818000,"dur":100},{"pid":1,"tid":0,"id":38,"name":"task: unknown task type","args":{"span_id":"38","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1509874749818000,"dur":100},{"pid":1,"tid":0,"id":39,"name":"task: merge resources","args":{"span_id":"39","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874749819000,"dur":28000},{"pid":1,"tid":0,"id":40,"name":"task: compatible screens manifest","args":{"span_id":"40","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874749848000,"dur":100},{"pid":1,"tid":0,"id":41,"name":"task: merge manifests","args":{"span_id":"41","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 39\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1509874749848000,"dur":4000},{"pid":1,"tid":0,"id":42,"name":"task: splits discovery","args":{"span_id":"42","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874749852000,"dur":1000},{"pid":1,"tid":0,"id":43,"name":"task: process android resources","args":{"span_id":"43","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 51\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1509874749853000,"dur":4000},{"pid":1,"tid":0,"id":44,"name":"task: unknown task type","args":{"span_id":"44","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1509874749857000,"dur":100},{"pid":1,"tid":0,"id":45,"name":"task: java pre compile","args":{"span_id":"45","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874749858000,"dur":16000},{"pid":1,"tid":0,"id":46,"name":"task: android java compile","args":{"span_id":"46","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","task":"type: 3\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1509874749874000,"dur":188000},{"pid":1,"tid":0,"id":47,"name":"task: merge source set folders","args":{"span_id":"47","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750063000,"dur":100},{"pid":1,"tid":0,"id":48,"name":"task: shader compile","args":{"span_id":"48","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750064000,"dur":100},{"pid":1,"tid":0,"id":49,"name":"task: unknown task type","args":{"span_id":"49","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1509874750064000,"dur":100},{"pid":1,"tid":0,"id":50,"name":"task: merge source set folders","args":{"span_id":"50","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750065000,"dur":3000},{"pid":1,"tid":0,"id":51,"name":"task: package application","args":{"span_id":"51","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 45\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1509874750068000,"dur":2000},{"pid":1,"tid":0,"id":52,"name":"task: check manifest in instant run mode","args":{"span_id":"52","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 72\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1509874750070000,"dur":2000},{"pid":1,"tid":0,"id":53,"name":"task: transform","args":{"span_id":"53","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750072000,"dur":1000},{"pid":1,"tid":36,"id":55,"name":"transform prep: instant run verifier","args":{"span_id":"55","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 20\nis_incremental: true\n"},"ph":"X","ts":1509874750077000,"dur":1000},{"pid":1,"tid":36,"id":57,"name":"task file verification","args":{"span_id":"57","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874750078000,"dur":100},{"pid":1,"tid":36,"id":58,"name":"task file verification","args":{"span_id":"58","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n"},"ph":"X","ts":1509874750078000,"dur":1000},{"pid":1,"tid":36,"id":56,"name":"transform: instant run verifier","args":{"span_id":"56","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 20\nis_incremental: true\n"},"ph":"X","ts":1509874750078000,"dur":2000},{"pid":1,"tid":0,"id":54,"name":"task: transform","args":{"span_id":"54","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750073000,"dur":9000},{"pid":1,"tid":0,"id":59,"name":"task: transform","args":{"span_id":"59","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750083000,"dur":19000},{"pid":1,"tid":0,"id":60,"name":"task: ndk compile","args":{"span_id":"60","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750103000,"dur":100},{"pid":1,"tid":0,"id":61,"name":"task: merge source set folders","args":{"span_id":"61","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750104000,"dur":100},{"pid":1,"tid":0,"id":62,"name":"task: transform","args":{"span_id":"62","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750105000,"dur":7000},{"pid":1,"tid":0,"id":63,"name":"task: unknown task type","args":{"span_id":"63","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: true\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1509874750112000,"dur":1000},{"pid":1,"tid":0,"id":64,"name":"task: transform","args":{"span_id":"64","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750113000,"dur":7000},{"pid":1,"tid":0,"id":65,"name":"task: transform","args":{"span_id":"65","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750120000,"dur":1000},{"pid":1,"tid":36,"id":67,"name":"transform prep: instant run","args":{"span_id":"67","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 5\nis_incremental: true\n"},"ph":"X","ts":1509874750137000,"dur":10000},{"pid":1,"tid":36,"id":68,"name":"transform: instant run","args":{"span_id":"68","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 5\nis_incremental: true\n"},"ph":"X","ts":1509874750147000,"dur":15000},{"pid":1,"tid":0,"id":66,"name":"task: transform","args":{"span_id":"66","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750121000,"dur":43000},{"pid":1,"tid":36,"id":70,"name":"transform prep: instant run dex","args":{"span_id":"70","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 3\nis_incremental: true\n"},"ph":"X","ts":1509874750166000,"dur":100},{"pid":1,"tid":36,"id":71,"name":"transform: instant run dex","args":{"span_id":"71","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 3\nis_incremental: true\n"},"ph":"X","ts":1509874750166000,"dur":100},{"pid":1,"tid":0,"id":69,"name":"task: transform","args":{"span_id":"69","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750165000,"dur":2000},{"pid":1,"tid":0,"id":72,"name":"task: unknown task type","args":{"span_id":"72","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1509874750167000,"dur":100},{"pid":1,"tid":0,"id":73,"name":"task: pre cold swap","args":{"span_id":"73","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 48\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1509874750167000,"dur":1000},{"pid":1,"tid":0,"id":74,"name":"task: fast deploy runtime extractor","args":{"span_id":"74","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 21\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1509874750168000,"dur":1000},{"pid":1,"tid":0,"id":75,"name":"task: generate instant run app info","args":{"span_id":"75","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 25\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1509874750169000,"dur":100},{"pid":1,"tid":36,"id":77,"name":"transform prep: instant run slicer","args":{"span_id":"77","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 4\nis_incremental: true\n"},"ph":"X","ts":1509874750176000,"dur":1000},{"pid":1,"tid":36,"id":78,"name":"transform: instant run slicer","args":{"span_id":"78","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 4\nis_incremental: true\n"},"ph":"X","ts":1509874750177000,"dur":2000},{"pid":1,"tid":0,"id":76,"name":"task: transform","args":{"span_id":"76","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750170000,"dur":13000},{"pid":1,"tid":36,"id":80,"name":"transform prep: dex archive builder","args":{"span_id":"80","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 29\nis_incremental: true\n"},"ph":"X","ts":1509874750200000,"dur":100},{"pid":1,"tid":36,"id":81,"name":"transform: dex archive builder","args":{"span_id":"81","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 29\nis_incremental: true\n"},"ph":"X","ts":1509874750200000,"dur":122000},{"pid":1,"tid":0,"id":79,"name":"task: transform","args":{"span_id":"79","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750183000,"dur":145000},{"pid":1,"tid":36,"id":83,"name":"transform prep: external libs merger","args":{"span_id":"83","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 34\nis_incremental: true\n"},"ph":"X","ts":1509874750335000,"dur":1000},{"pid":1,"tid":36,"id":84,"name":"transform: external libs merger","args":{"span_id":"84","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 34\nis_incremental: true\n"},"ph":"X","ts":1509874750336000,"dur":1000},{"pid":1,"tid":0,"id":82,"name":"task: transform","args":{"span_id":"82","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750329000,"dur":8000},{"pid":1,"tid":36,"id":86,"name":"transform prep: dex merger","args":{"span_id":"86","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 30\nis_incremental: true\n"},"ph":"X","ts":1509874750347000,"dur":1000},{"pid":1,"tid":36,"id":87,"name":"transform: dex merger","args":{"span_id":"87","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 30\nis_incremental: true\n"},"ph":"X","ts":1509874750348000,"dur":18000},{"pid":1,"tid":0,"id":85,"name":"task: transform","args":{"span_id":"85","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750338000,"dur":31000},{"pid":1,"tid":0,"id":88,"name":"task: validate signing","args":{"span_id":"88","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750369000,"dur":2000},{"pid":1,"tid":37,"id":90,"name":"transform prep: instant run dependencies apk builder","args":{"span_id":"90","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 23\nis_incremental: true\n"},"ph":"X","ts":1509874750373000,"dur":100},{"pid":1,"tid":37,"id":91,"name":"transform: instant run dependencies apk builder","args":{"span_id":"91","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 23\nis_incremental: true\n"},"ph":"X","ts":1509874750373000,"dur":1000},{"pid":1,"tid":0,"id":89,"name":"task: transform","args":{"span_id":"89","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750371000,"dur":3000},{"pid":1,"tid":37,"id":93,"name":"transform prep: instant run slice split apk builder","args":{"span_id":"93","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 24\nis_incremental: true\n"},"ph":"X","ts":1509874750376000,"dur":1000},{"pid":1,"tid":37,"id":94,"name":"transform: instant run slice split apk builder","args":{"span_id":"94","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","transform":"type: 24\nis_incremental: true\n"},"ph":"X","ts":1509874750377000,"dur":110000},{"pid":1,"tid":0,"id":92,"name":"task: transform","args":{"span_id":"92","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\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":1509874750374000,"dur":113000},{"pid":1,"tid":0,"id":95,"name":"task: package application","args":{"span_id":"95","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 45\ndid_work: false\nskipped: true\nup_to_date: true\nfailed: false\n"},"ph":"X","ts":1509874750488000,"dur":6000},{"pid":1,"tid":0,"id":96,"name":"task: build info writer","args":{"span_id":"96","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","variant":"id: 1\nis_debug: true\nminify_enabled: false\nuse_multidex: false\nuse_legacy_multidex: false\nvariant_type: APPLICATION\nmin_sdk_version {\n api_level: 9\n}\ntarget_sdk_version {\n api_level: 24\n}\ndex_builder: DX_DEXER\ndex_merger: DX_MERGER\n","task":"type: 70\ndid_work: true\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1509874750494000,"dur":2000},{"pid":1,"tid":0,"id":97,"name":"task: unknown task type","args":{"span_id":"97","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1509874750496000,"dur":100},{"pid":1,"tid":0,"id":98,"name":"task: unknown task type","args":{"span_id":"98","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n","task":"type: 0\ndid_work: false\nskipped: false\nup_to_date: false\nfailed: false\n"},"ph":"X","ts":1509874750497000,"dur":100},{"pid":1,"tid":35,"id":99,"name":"base plugin build finished","args":{"span_id":"99","project":"id: 1\nandroid_plugin_version: \"3.0.0\"\nandroid_plugin: APPLICATION\nplugin_generation: FIRST\nbuild_tools_version: \"26.0.2\"\ncompile_sdk: \"android-24\"\nsplits {\n}\n"},"ph":"X","ts":1509874750518000,"dur":100}] |
{"name": "BRAX", "id": 8575, "website": "shop.brax.com", "city": ""} |
{
"files": [
{
"sha1": "5d21dd075b95819036c3d2c5d93f594a90ff191c",
"name": "CAT31284371_meta.mrc",
"format": "MARC Binary",
"source": "original",
"mtime": "1445523487",
"crc32": "383a0a1b",
"md5": "3e0e3f751676fab8d1d473962e775f97",
"size": "890"
},
{
"sha1": "4e5f96071c2e33b8b58b26c1ff245334c9baa959",
"name": "CAT31284371_dc.xml",
"format": "Dublin Core",
"source": "original",
"mtime": "1445523487",
"crc32": "c55ae0e2",
"md5": "010842cd201102afbfb56e2ee8da207e",
"size": "1258"
},
{
"sha1": "010e35d5708f8cb6bb8598cdeb743d8483f2cc4f",
"name": "CAT31284371_metasource.xml",
"format": "MARC Source",
"source": "original",
"mtime": "1445523487",
"crc32": "8d8bd636",
"md5": "57df15307648f8efee649f72499673b2",
"size": "307"
},
{
"sha1": "a1a5ff6808ae3c66f655a8ff2bcf55e9c316c4c6",
"name": "CAT31284371_marc.xml",
"format": "MARC",
"source": "original",
"mtime": "1445523487",
"crc32": "24254206",
"md5": "34376bf98eac835a59910ef42d052acf",
"size": "3138"
},
{
"sha1": "b3a6bd75f5dd5d5f4b753675b26cf0589f4c23f6",
"name": "CAT31284371_scandata.xml",
"format": "Scandata",
"source": "original",
"mtime": "1446217699",
"crc32": "8ac7d236",
"md5": "29b8f5baed82c3d8826bd4c2d2fdff1f",
"size": "25069"
},
{
"sha1": "6e3708fe2780b4af3fa78c23df818c9b82e988b5",
"name": "CAT31284371_orig_jp2.tar",
"format": "Single Page Original JP2 Tar",
"source": "original",
"mtime": "1446217699",
"crc32": "7e8a485c",
"md5": "279572959822299af85ad6252c68fbe7",
"size": "14858240"
},
{
"sha1": "dd40d9ca220f6cb951b93e8a7e011e463e842d3e",
"name": "CAT31284371_djvu.txt",
"format": "DjVuTXT",
"source": "derivative",
"mtime": "1446218582",
"crc32": "56f129e1",
"md5": "5933e8c42b71da419a1acdffe59cf4c9",
"original": "CAT31284371.djvu",
"size": "4574"
},
{
"sha1": "6eac417222b0b256b39be55cef72c22ad24ae38a",
"name": "CAT31284371_jp2.zip",
"format": "Single Page Processed JP2 ZIP",
"source": "derivative",
"mtime": "1446218388",
"crc32": "2d4dc71d",
"md5": "421d7fb6f0b7f555395cd3e5a362159a",
"original": "CAT31284371_orig_jp2.tar",
"size": "4799301"
},
{
"sha1": "88c27a67a9f5f7a13bbce53e0e7f34db17801a97",
"name": "CAT31284371_bw.pdf",
"format": "Grayscale LuraTech PDF",
"source": "derivative",
"mtime": "1446218575",
"crc32": "216ec993",
"md5": "c60409e5dad1e723c457ac089604422e",
"original": "CAT31284371_djvu.xml",
"size": "278084"
},
{
"sha1": "42e28f85221dcb80ab0402bcb37156dcc78b3f15",
"name": "CAT31284371.gif",
"format": "Animated GIF",
"source": "derivative",
"mtime": "1446218397",
"crc32": "b04ce1ed",
"md5": "ee817fc512fbb12d4e313931024ada98",
"original": "CAT31284371_jp2.zip",
"size": "127769"
},
{
"sha1": "20b4ca4920ae118b1b9356f632542c5d2349d958",
"name": "CAT31284371_djvu.xml",
"format": "Djvu XML",
"source": "derivative",
"mtime": "1446218451",
"crc32": "29bb9009",
"md5": "e5604e5b20054fb64b703c41fca910da",
"original": "CAT31284371_abbyy.gz",
"size": "61952"
},
{
"sha1": "9fd26a2a15f160cf8179e359de9f76f937643001",
"name": "CAT31284371.pdf",
"format": "Text PDF",
"source": "derivative",
"mtime": "1446218519",
"crc32": "7e758ba2",
"md5": "53658d613c2f4d315e102e85afec1436",
"original": "CAT31284371_djvu.xml",
"size": "338687"
},
{
"sha1": "4bc4e6bbd192c9d76b024d5ab71d0db43ccca2a3",
"name": "CAT31284371_abbyy.gz",
"format": "Abbyy GZ",
"source": "derivative",
"mtime": "1446218443",
"crc32": "0b510141",
"md5": "79777796fa9738856d6f82d672c3fd43",
"original": "CAT31284371_jp2.zip",
"size": "66829"
},
{
"sha1": "a54a96927ebd6849addcabb770c5a8d472114b94",
"name": "CAT31284371.epub",
"format": "EPUB",
"source": "derivative",
"mtime": "1446218453",
"crc32": "54dc5742",
"md5": "376c59145e7828f89b8522b655d31cb6",
"original": "CAT31284371_abbyy.gz",
"size": "6874"
},
{
"sha1": "900bce58b536250adf31378008e32de72da13475",
"name": "CAT31284371.djvu",
"format": "DjVu",
"source": "derivative",
"mtime": "1446218480",
"crc32": "53cff672",
"md5": "b31fe3b316b07eb5041f3117228d6c68",
"original": "CAT31284371_djvu.xml",
"size": "158400"
},
{
"sha1": "e591c041b5b3bede1658c3d88305250c922772c1",
"name": "CAT31284371_meta.xml",
"format": "Metadata",
"source": "original",
"mtime": "1446247331",
"crc32": "778ea2cb",
"md5": "0716d2a8c90a2930e5ad83c516a7a4c0",
"size": "2530"
},
{
"sha1": "1c1056895b420765565c9d632179ce1054ac3661",
"name": "CAT31284371_names.xml",
"format": "Name Metadata",
"source": "original",
"mtime": "1446453584",
"crc32": "ec56b6a4",
"md5": "f22d029dc309fcbe7166452f8b75a85e",
"size": "2726"
},
{
"sha1": "7c6b66b747994b9fa4d5192901f204430a1a4231",
"name": "CAT31284371_bhlmets.xml",
"format": "Biodiversity Heritage Library METS",
"source": "original",
"mtime": "1446453698",
"crc32": "96ac60cd",
"md5": "71c7e5817cb8dd70d0ceab6c1b882c2f",
"size": "10972"
},
{
"sha1": "41f237b297e3fc19c5c214c1bc27e68fd1c00d06",
"name": "CAT31284371_meta.sqlite",
"format": "Metadata",
"source": "original",
"mtime": "1446453722",
"crc32": "a2d4bd3a",
"md5": "b2def4b36a33043dda5be85972065ced",
"size": "6144"
},
{
"sha1": "4a6044443d71caa4f411082703f4bd580d2531c7",
"name": "CAT31284371_archive.torrent",
"btih": "eb5d73ac1f98dd707c82454b3af6aebf89c40919",
"format": "Archive BitTorrent",
"source": "metadata",
"mtime": "1446453728",
"crc32": "ded8acd4",
"md5": "e8061a27af3b52ee632465792b7ba160",
"size": "4463"
},
{
"source": "original",
"md5": "9a9b87efcd8a20874b6d8477a254354b",
"name": "CAT31284371_files.xml",
"format": "Metadata"
}
],
"updated": 1446674835,
"uniq": 248786140,
"created": 1446667789,
"workable_servers": [
"ia801506.us.archive.org",
"ia601506.us.archive.org"
],
"server": "ia801506.us.archive.org",
"item_size": 20758207,
"dir": "/20/items/CAT31284371",
"metadata": {
"partner_shiptracking": "NC16_1901_misc_R",
"shiptracking": "ST004550",
"scanner": "scribe1.beltsville.archive.org",
"creator": [
"Waldo Rohnert (Firm)",
"Rohnert, Waldo",
"Henry G. Gilbert Nursery and Seed Trade Catalog Collection"
],
"series": "Henry G. Gilbert Nursery and Seed Trade Catalog Collection.",
"ppi": "500",
"subcollection": "henryggilbertnurseryandseedtradecollection",
"nal_call_number": "62.09 1901",
"operator": "associate-lian-kam@archive.org",
"sponsor": "U.S. Department of Agriculture, National Agricultural Library",
"copyright_message": "The contributing institution believes that this item is not in copyright",
"contributor": "U.S. Department of Agriculture, National Agricultural Library",
"foldoutcount": "0",
"scanfee": "100",
"subject": [
"Nursery stock California Gilroy Catalogs",
"Flowers Seeds Catalogs"
],
"title": "Seed list for season 1901 delivery / Waldo Rohnert.",
"repub_state": "4",
"camera": "Canon EOS 5D Mark II",
"invoice": "3",
"ocr": "ABBYY FineReader 11.0",
"identifier-access": "http://archive.org/details/CAT31284371",
"scanningcenter": "beltsville",
"description": "Cover title",
"identifier-ark": "ark:/13960/t7wm50k3z",
"mediatype": "texts",
"collection": [
"usda-nurseryandseedcatalog",
"usdanationalagriculturallibrary",
"biodiversity",
"fedlink",
"americana"
],
"volume": "1901",
"repub_seconds": "121",
"updater": "associate-manuel-dennis@archive.org",
"updatedate": "2015-10-22 14:18:07",
"uploader": "associate-manuel-dennis@archive.org",
"date": "1901",
"republisher": "associate-marc-adona@archive.org",
"addeddate": "2015-10-22 14:18:09.178264",
"publisher": "Sargent, Calif. : Waldo Rohnert",
"publicdate": "2015-10-22 13:20:15",
"language": "eng",
"page-progression": "lr",
"notes": "No copyright page found. No table-of-contents pages found.",
"imagecount": "16",
"identifier": "CAT31284371",
"unique_id": "CAT31284371",
"scandate": "20151026125641"
},
"d2": "ia801506.us.archive.org",
"files_count": 21,
"d1": "ia601506.us.archive.org"
} |
{"latitude":36.025,"longitude":-94.4997,"zipcode":"72769","msa":"2580","dma":"670","state":"AR"} |
{
"name": "OpenRCT2",
"author": "rsn8887",
"description": "This is my Switch port of OpenRCT2, a re-implementation of RollerCoaster Tycoon 2. A construction and management simulation video game that simulates amusement park management.\\n\\nData files from the original game are required to play this game.\\n\\nVisit my Patreon:\\nhttps://www.patreon.com/rsn8887\\n\\n# Thanks\\n\\nThanks to the many many developers who worked on this open source game.\\n\\nThanks to Chris Sawyer for writing the amazing original game.\\n\\nThanks to Milenko for testing and making screenshots.\\n\\nThanks to my supporters on Patreon: Andyways, CountDuckula, Greg Gibson, Jesse Harlin, \u00d6zg\u00fcr Karter, Matthew Machnee, and RadicalR\\n\\n# Installation\\n\\n- Copy all data files and folders from a working Windows OpenRCT2 installation to `/switch/openrct2/rct2/` so that you have a file `/switch/openrct2/rct2/rct2.exe` and many more files and folders there. For my testing, I used the data files from the gog.com version.\\n\\n- Note: This game takes quite long to load at first, because it generates a bunch of cache files. Subsequent boots are much faster.\\n\\n# Controls\\n\\nLeft analog stick = mouse pointer control\\nRight analog stick = scroll the map\\nR = left mouse click\\nL = right mouse click\\nZR = hold to slow down analog joystick mouse, useful to precisely position the pointer\\nZL = hold to speed up analog joystick mouse\\nA = right mouse click\\nB = left mouse click\\nY = shift key, hold and move mouse up/down to build above the ground\\nX = ctrl key, hold and move mouse to build multiple pieces at the same height above ground\\nDpad up = zoom out (page up key)\\nDpad down = zoom in (page down key)\\nDpad left = close topmost window (backspace key)\\nDpad right = exit construction mode (escape key)\\nR3 (press right stick in) = open cheat menu (ctrl-alt-c)\\nMinus = toggle between three touch control modes:\\nTouchpad style drag pointer with finger and tap to click, default:\\nMove a single finger to move the mouse pointer. Use short tap for left click. Hold a single finger while tapping a second finger for right click. Drag with two fingers to drag and drop.\\nJump to finger without click\\nThe pointer jumps to the finger, but the finger doesn't click. Use L/R or A/B to click\\nJump to finger with tap click\\nThe pointer jumps to the finger, and a short tap also generates a left click\\nPlus = bring up on-screen keyboard, useful for entering names, etc.\\nWhen pressing enter, it first erases existing text and replaces it with new text\\nPhysical USB keyboard and mouse are supported. Not all mice work. There's a mouse compatibility\\nchart.\\n\\nSee :\\n\\nhttps://github.com/rsn8887/openrct2/releases/latest for detailed installation instructions.\\n\\nThis is an initial appstore release and may include the full game in time.",
"install_subfolder": "switch",
"pattern": [
[
"openrct2"
],
".zip"
],
"license": "GPLv3",
"package": "openrct2",
"release_api": "https://api.github.com/repos/rsn8887/OpenRCT2/releases",
"website": "https://github.com/rsn8887/OpenRCT2/releases",
"category": "games",
"tags": [
"game"
]
} |
{"poster":"KhamiKhazlx","date":"2016-02-20T23:13:53.712+0000","title":"Bug in Champselection","subforum":"Melde einen Bug","up_votes":1,"down_votes":0,"body":"Hey Leute,\r\nich hab gerade mit meiner Freundin entspannt nen normal spielen wollen, waren in der champselection. Ich hab nen champ angegeben, habe einen gebannt, und auch einen ausgewählt. Bin aber trotzdem als "schuldiger" wieder in die warteschlange gekommen, mit zeitstrafe obwohl ich alles befolgt habe, nicht afk war und vorallem heute auch noch nicht ein einziges Game gedodged habe! Habe jetzt trotzdem 15 min reingedrückt bekommen für nix :( Finde ich nich gut :(","replies":[{"poster":"German Voyboy","date":"2016-02-22T14:39:11.443+0000","up_votes":1,"down_votes":0,"body":"Ich persönlich habe bisher keine Probleme festgestellt.\nSicher das ihr nicht einfach nur vergessen habt zu locken? \nWenn es wirklich öfter passieren sollte dann einfach mal den Client reparieren und dann sollte es gehen! :3","replies":[]},{"poster":"MeisterMorti","date":"2016-02-21T09:41:49.305+0000","up_votes":1,"down_votes":0,"body":"ICH HABE KEINE LUST MEHR IMMER DER GLEICHE SCHEIß BUG FCKING 30min omg 3 spiele hinter einander","replies":[]},{"poster":"MeisterMorti","date":"2016-02-21T08:27:07.926+0000","up_votes":1,"down_votes":1,"body":"Mir geht es oft genau so was kann man dagegen tun es kommt jetzt schon echt oft vor und an mir liegt es nicht habe schon 30min buster","replies":[]}]} |
{
"directions": [
"In a bowl whisk together the scallion, the soy sauce, the vinegar, the gingerroot, the vegetable oil, 1 tablespoon of the sesame oil, the sugar, the garlic paste, the red pepper flakes, and salt and pepper to taste. In a shallow dish arrange the scrod fillets in one layer, pour the soy sauce mixture over them, and let the fish marinate, covered and chilled, for 30 minutes.",
"Put a bamboo steamer in a wok and add enough water to the wok to allow the bottom rim of the steamer to sit in the water but the tray to remain above it. (Alternatively, arrange a steamer rack in a wide deep kettle and add water to the kettle to reach just below the steamer rack.) Bring the water to a boil. Line the steamer with the cabbage or with a plate, such as a glass pie plate, at least 1 inch smaller in diameter than the steamer, arrange the fillets, folded into thirds, skinned sides up and seam sides down, on the cabbage, and pour the marinade evenly over them. Steam the fish, covered, over the boiling water for 8 to 12 minutes, or until it just flakes, and with oven mitts remove the steamer from the wok. Transfer the fillets carefully to a heated platter and drizzle them with the remaining 1 teaspoon sesame oil."
],
"ingredients": [
"1/2 cup thinly sliced scallion",
"1/4 cup soy sauce",
"2 tablespoons rice-wine vinegar (available at Oriental markets) or\u00a0white-wine vinegar",
"a 1 1/2-inch piece of peeled fresh gingerroot, cut into very fine julienne\u00a0strips",
"2 tablespoons vegetable oil",
"1 tablespoon Oriental sesame oil plus 1 teaspoon for drizzling the fish",
"2 teaspoons sugar",
"2 garlic cloves, minced and mashed to a paste with a pinch of salt",
"1/4 to 1/2 teaspoon dried hot red pepper flakes, or to taste",
"six 6-ounce scrod fillets",
"cabbage or romaine leaves for lining the steamer if desired"
],
"language": "en-US",
"source": "www.epicurious.com",
"tags": [
"Wok",
"Fish",
"Ginger",
"Marinate",
"Steam",
"Chill",
"Gourmet"
],
"title": "Steamed Scrod Fillets Chinese Style",
"url": "http://www.epicurious.com/recipes/food/views/steamed-scrod-fillets-chinese-style-11939"
}
|
{
"id": 219529033,
"type": "Feature",
"properties": {
"addr:full":"141 Commercial St Newport East Riding of Yorkshire NP9 1LN",
"addr:housenumber":"141",
"addr:postcode":"np9 1ln",
"addr:street":"Commercial St",
"edtf:cessation":"uuuu",
"edtf:inception":"uuuu",
"geom:area":0.0,
"geom:area_square_m":0.0,
"geom:bbox":"-2.993989,51.584435,-2.993989,51.584435",
"geom:latitude":51.584435,
"geom:longitude":-2.993989,
"iso:country":"GB",
"mz:hierarchy_label":1,
"mz:is_current":-1,
"sg:address":"141 Commercial St",
"sg:city":"Newport",
"sg:classifiers":[
{
"category":"Personal",
"subcategory":"Barber",
"type":"Services"
}
],
"sg:owner":"simplegeo",
"sg:phone":"+44 1633 267319",
"sg:postcode":"NP9 1LN",
"sg:province":"East Riding of Yorkshire",
"sg:tags":[
"men's",
"hairdresser"
],
"src:geom":"simplegeo",
"wof:belongsto":[
85785465,
85633159,
101750399,
85684571
],
"wof:breaches":[],
"wof:concordances":{
"sg:id":"SG_00qr0433CS580ztxO3fC6e_51.584435_-2.993989@1300740541"
},
"wof:country":"GB",
"wof:geomhash":"ba135df06dedcb518b44beacd43d3758",
"wof:hierarchy":[
{
"continent_id":-1,
"country_id":85633159,
"locality_id":101750399,
"neighbourhood_id":85785465,
"region_id":85684571,
"venue_id":219529033
}
],
"wof:id":219529033,
"wof:lastmodified":1496966347,
"wof:name":"David's",
"wof:parent_id":85785465,
"wof:placetype":"venue",
"wof:repo":"whosonfirst-data-venue-gb",
"wof:superseded_by":[],
"wof:supersedes":[],
"wof:tags":[
"men's",
"hairdresser"
]
},
"bbox": [
-2.993989,
51.584435,
-2.993989,
51.584435
],
"geometry": {"coordinates":[-2.993989,51.584435],"type":"Point"}
} |
{
"forum_title": "Til sölu - Tölvuvörur",
"id": "52280",
"title": "Selt!",
"url": "https://spjall.vaktin.is/viewtopic.php?f=11&t=52280",
"posts": [
{
"user_name": "jonandrii",
"text": "selt.",
"date": "2012-12-23 20:13:00",
"post_id": "485428",
"reply_to_id": false
},
{
"user_name": "jonandrii",
"text": "upp",
"date": "2012-12-23 23:02:00",
"post_id": "485448",
"reply_to_id": "485428"
},
{
"user_name": "Lunesta",
"text": "endilega lesa sölureglurnar..",
"date": "2012-12-23 23:13:00",
"post_id": "485449",
"reply_to_id": "485448"
},
{
"user_name": "jonandrii",
"text": "þetta var fyrsta bömpið:P",
"date": "2012-12-23 23:56:00",
"post_id": "485457",
"reply_to_id": "485449"
},
{
"user_name": "Lunesta",
"text": "haha já meinar \n hafði aldrei hugsað það þannig",
"date": "2012-12-24 01:05:00",
"post_id": "485469",
"reply_to_id": "485457"
},
{
"user_name": "jonandrii",
"text": "BÖMP",
"date": "2012-12-24 13:01:00",
"post_id": "485503",
"reply_to_id": "485469"
},
{
"user_name": "jonandrii",
"text": "bömb, vantar fartölvu í skiptum!",
"date": "2012-12-25 14:31:00",
"post_id": "485648",
"reply_to_id": "485503"
},
{
"user_name": "rango",
"text": "Snillingur! Mun nota þetta óspart",
"date": "2012-12-25 14:37:00",
"post_id": "485649",
"reply_to_id": "485648"
},
{
"user_name": "Legolas",
"text": "Kom on lesa sölureglur, afhvarju þarf maður alltaf að spurja þessara spurninga?\nAldur á öllu?\nÁbyrgð á öllu?\nHvar verslað?\nAnnars er þetta ágæt lýsing á dótinu \n \n10.\nNauðsynlegt er að taka fram: Lýsing á vörunni, ástand, \naldur\n, hlekkir á vöru og/eða ljósmynd af henni.",
"date": "2012-12-25 16:00:00",
"post_id": "485660",
"reply_to_id": "485649"
},
{
"user_name": "halldorjonz",
"text": "ég er til í að taka allan pakkann á 8.500kr staðgreitt..",
"date": "2012-12-25 18:42:00",
"post_id": "485680",
"reply_to_id": "485660"
},
{
"user_name": "jonandrii",
"text": "aðeins minna en ég hafi hugsað mér um!!",
"date": "2012-12-25 18:44:00",
"post_id": "485681",
"reply_to_id": "485680"
},
{
"user_name": "Ripparinn",
"text": "10k?\nAllavega... Hvaða verðhugmynd ertu með? Grófa",
"date": "2012-12-26 09:30:00",
"post_id": "485744",
"reply_to_id": "485681"
},
{
"user_name": "jonandrii",
"text": "BÖMP, fer á góðu verði fyrir áramót!",
"date": "2012-12-26 14:58:00",
"post_id": "485789",
"reply_to_id": "485744"
},
{
"user_name": "Gislinn",
"text": "Hvaða verðhugmynd ertu með fyrir tölvuna?",
"date": "2012-12-26 15:39:00",
"post_id": "485795",
"reply_to_id": "485789"
},
{
"user_name": "jonandrii",
"text": "Sendið mér bara tilboð í pm!",
"date": "2012-12-26 15:41:00",
"post_id": "485796",
"reply_to_id": "485795"
},
{
"user_name": "Gislinn",
"text": "Veistu hvernig Elite kassi er þetta (360, 310... )? Hvað er þetta dót ca. gamalt? Veistu hvernig CPU kæling er í tölvunni? Hvernig aflgjafi er í tölvunni?",
"date": "2012-12-26 15:49:00",
"post_id": "485798",
"reply_to_id": "485796"
},
{
"user_name": "jonandrii",
"text": "http://tolvulistinn.is/product/coolerma ... n-aflgjafa\n alveg eins og þessi kassi, og það er eitthver 520w aflgjafi í henni.\nVeit ekki hvernig cpukæling.\nC.a 1árs.",
"date": "2012-12-26 15:58:00",
"post_id": "485801",
"reply_to_id": "485798"
},
{
"user_name": "Gislinn",
"text": "PM sent.",
"date": "2012-12-26 16:04:00",
"post_id": "485802",
"reply_to_id": "485801"
},
{
"user_name": "jonandrii",
"text": "BÖMP KOMIÐ MEÐ TILBOÐ!!!! VANTAR FARTÖLVU",
"date": "2012-12-28 19:13:00",
"post_id": "486195",
"reply_to_id": "485802"
},
{
"user_name": "Gislinn",
"text": "40 þús kr fyrir tölvuna ?",
"date": "2012-12-29 12:51:00",
"post_id": "486307",
"reply_to_id": "486195"
},
{
"user_name": "jonandrii",
"text": "bömp",
"date": "2013-01-03 18:35:00",
"post_id": "487376",
"reply_to_id": "486307"
},
{
"user_name": "olidor",
"text": "Kiktu a skilaboðin þin",
"date": "2013-01-03 20:45:00",
"post_id": "487405",
"reply_to_id": "487376"
},
{
"user_name": "AudunnLogi",
"text": "Skoðaru partasölu?",
"date": "2013-01-04 00:33:00",
"post_id": "487445",
"reply_to_id": "487405"
},
{
"user_name": "jonandrii",
"text": "Gæti verið, sendu mér pm um hvað þig vantar.",
"date": "2013-01-04 01:22:00",
"post_id": "487454",
"reply_to_id": "487445"
},
{
"user_name": "AudunnLogi",
"text": "Átt PM.",
"date": "2013-01-04 02:15:00",
"post_id": "487463",
"reply_to_id": "487454"
},
{
"user_name": "jaba3",
"text": "Býð 45.000 í tölvuna. Með þeim fyrirvara að við skoðum hana fyrst.",
"date": "2013-01-05 15:10:00",
"post_id": "487695",
"reply_to_id": false
},
{
"user_name": "jonandrii",
"text": "Það hefur einhvað farið frammhjá mér, eda ekki enn komid:]",
"date": "2013-01-05 15:44:00",
"post_id": "487700",
"reply_to_id": "487695"
},
{
"user_name": "jonandrii",
"text": "Bömp",
"date": "2013-01-06 20:55:00",
"post_id": "487922",
"reply_to_id": "487700"
},
{
"user_name": "kizi86",
"text": "býð 60.000kr í þessa vél..",
"date": "2013-01-08 11:49:00",
"post_id": "488236",
"reply_to_id": "487922"
},
{
"user_name": "jonbk",
"text": "VIltu skipta á þessari ? \nhttps://www.google.is/search?q=packard+ ... 80&bih=861",
"date": "2013-01-08 15:31:00",
"post_id": "488276",
"reply_to_id": "488236"
}
],
"date": "2013-01-05 15:10:00"
} |
{"id":31283,"name":"Celestial Knight Helm♂","description":"Powerful armor once worn by Gods. \nImbue effects: increase HP"} |
{"geometry":{"type":"Polygon","coordinates":[[[13.771807,51.983798],[13.771656,51.982003],[13.770202,51.982050],[13.769675,51.975768],[13.765314,51.975908],[13.765239,51.975010],[13.763785,51.975057],[13.764011,51.977749],[13.759650,51.977888],[13.759574,51.976990],[13.758121,51.977037],[13.758046,51.976139],[13.756592,51.976186],[13.756667,51.977083],[13.753760,51.977176],[13.753910,51.978970],[13.756817,51.978878],[13.756892,51.979775],[13.758346,51.979729],[13.758571,51.982421],[13.760025,51.982375],[13.759950,51.981477],[13.764312,51.981338],[13.764462,51.983133],[13.765916,51.983086],[13.765991,51.983984],[13.771807,51.983798]]]},"properties":{"qs:a1r":"0","qs:la":"Sch\u00f6nwald","geom:longitude":13.764163,"lbl:latitude":51.985300,"qs:loc_alt":"Schoenwald","iso:country":"DE","src:geom_alt":[],"wof:geomhash":"f52ef69076d68b54fbb839339eb58e8a","qs:level":"locality","wof:name":"Sch\u00f6nwald","src:geom":"quattroshapes","qs:adm0":"Bundesrepublik Deutschland","wof:breaches":[],"wof:hierarchy":[{"locality_id":101821207,"country_id":85633111,"region_id":85682553,"county_id":102063913}],"qs:la_lc":"*DE12006112435","qs:loc":"Sch\u00f6nwald","wof:id":101821207,"qs:pop":0,"lbl:longitude":13.723000,"wof:supersedes":[],"geom:area":0.000084,"geom:latitude":51.979557,"qs:source":"UCustom EuroGlobalMap + UMZ Urban Polygons + Geonames + GeoPlanet","src:centroid_lbl":"geonames","wof:belongsto":[85633111,85682553,102063913],"qs:type":"rural point-in-poly","wof:placetype":"locality","gn:population":1171,"qs:a0":"Bundesrepublik Deutschland","qs:a1":"*Brandenburg","qs:a2":"Dahme-Spreewald","wof:lastmodified":1439924380,"wof:superseded_by":[],"wof:concordances":{"gn:id":6547572,"qs:id":4},"wof:parent_id":102063913},"type":"Feature","bbox":[13.753760,51.975010,13.771807,51.983984],"id":101821207} |
{
"id": 907403551,
"type": "Feature",
"properties": {
"addr:full":"38a York Rd, Ashindon Rochford Essex SS4 3HQ",
"addr:housenumber":"38a",
"addr:postcode":"ss4 3hq",
"addr:street":"York Rd",
"edtf:cessation":"uuuu",
"edtf:inception":"uuuu",
"geom:area":0.0,
"geom:area_square_m":0.0,
"geom:bbox":"0.6875119805,51.6064949036,0.6875119805,51.6064949036",
"geom:latitude":51.606495,
"geom:longitude":0.687512,
"iso:country":"GB",
"mz:hierarchy_label":1,
"mz:is_current":-1,
"sg:address":"38a York Rd, Ashindon",
"sg:city":"Rochford",
"sg:classifiers":[
{
"category":"Professional",
"subcategory":"Engineering",
"type":"Services"
}
],
"sg:owner":"simplegeo",
"sg:phone":"+44 1702 547187",
"sg:postcode":"SS4 3HQ",
"sg:province":"Essex",
"src:geom":"simplegeo",
"wof:belongsto":[],
"wof:breaches":[],
"wof:concordances":{
"sg:id":"SG_7bUZtn0JsK3mpjbNlo4h1f_51.606495_0.687512@1300740369"
},
"wof:country":"GB",
"wof:created":1471899972,
"wof:geomhash":"4134e1c1d02b963536eb6ed97ddd390b",
"wof:hierarchy":[],
"wof:id":907403551,
"wof:lastmodified":1496971466,
"wof:name":"R.W Bettis",
"wof:parent_id":-1,
"wof:placetype":"venue",
"wof:repo":"whosonfirst-data-venue-gb",
"wof:superseded_by":[],
"wof:supersedes":[],
"wof:tags":[]
},
"bbox": [
0.6875119805,
51.6064949036,
0.6875119805,
51.6064949036
],
"geometry": {"coordinates":[0.6875119805,51.6064949036],"type":"Point"}
} |
{"rank":"79","song_id":"18888","song_name":"Beautiful In My Eyes","artist_id":"305254","display_artist":"Joshua Kadison","spotify_id":"5o8gWPZxr4GZFslU85YMmu","lyrics":"You're my peace of mind\r\nIn this crazy world\r\nYou're everything I've tried to find\r\nYour love is a pearl\r\nYou're my Mona Lisa\r\nYou're my rainbow skies\r\nAnd my only prayer is that you realize...\r\nYou'll always be beautiful in my eyes\r\n\r\nThe world will turn\r\nAnd the seasons will change\r\nAnd all the lessons we will learn\r\nWill be beautiful and strange\r\nWe'll have our fill of tears\r\nOur share of sighs\r\nMy only prayer is that you realize...\r\nYou'll always be beautiful in my eyes\r\n\r\nYou will always be\r\nBeautiful in my eyes\r\nAnd the passing years will show\r\nThat you will always grow\r\nEver more beautiful in my eyes\r\n\r\nAnd there are lines upon my face\r\nFrom a lifetime of smiles\r\nWhen the time comes to embrace\r\nFor one long last while\r\nWe can laugh about\r\nHow time really flies\r\nWe won't say good-bye\r\nCause' true love never dies...\r\nYou'll always be beautiful in my eyes\r\n\r\nYou will always be (You will always be)\r\nBeautiful in my eyes (Beautiful in my eyes)\r\nAnd the passing years will show\r\nThat you will always grow\r\nEver more beautiful in my eyes\r\n\r\nThe passing years will show\r\nThat you will always grow\r\nEver more beautiful in my eyes"} |
{
"coverage": {
"country": "us",
"state": "fl"
},
"conform": {
"type": "shapefile",
"split": "phy_addr1",
"number": "auto_number",
"street": "auto_street",
"city": "city",
"district": "county",
"region": "state"
},
"data": "http://data.openaddresses.io/cache/us-fl_makeloveland.zip",
"type": "http",
"compression": "zip"
} |
["508aba654c86a6c89b16f1b8745a7e218d6d028f","c5beb3c7adcb95ffc9e62b7462f05149715ada6e","aac36506bbfb343476b91d6d330821c84f1f53e8","1c9663b89dc3c7c4bb406ec7e4492b9e9a176ddb","83fd918a8586aaddde12380525d343a86a0f854b","5b5a478e0a1604367ddb4bce2f88ccf5a4644f0b","947f8d8b75860f46278700836815cdc4050dae4a","e0ba605a3ee56426233ffa21497bce21a73bb43d","2f3e63bf99e206d1a2f8501a3504d3a34de031b0","8ca8beda1187d400134384159e87b16e7cf4a011","08ab3d44f0c594342c6042ff0aa6e975bff02be2","d7724e0a7308cad1769f21ec0dfe86be5e573a19","954794b0ea7c3d5408119b36a50cbf1c78ff10ea","4e6af432b12c30baa3b67d5d4b4a38da3622733e","82ac2ee2cba03b1c2af26a0b978ca2a72bedada0","7af716e102cf907a37eca1f422ea574d9408d8b5","9fbe7e81653b6797c39a76303ef45858004fa05e","86df3ffbb9a692bacfbe1f4f3304c08cfc59b4d9","7eb36a97194ba7ae469ab97e4cc74a81194ca9ab"] |
{
"attributes": null,
"caption": "Generalized Adaptation Process\r\n (Figure source: adapted from NRC\r\n 2010<tbib>65ce3b87-d63b-4582-a9b5-f25510b64e97</tbib>).",
"chapter": {
"doi": "10.7930/J07H1GGT",
"identifier": "adaptation",
"number": 28,
"report_identifier": "nca3",
"sort_key": 280,
"title": "Adaptation",
"url": "http://nca2014.globalchange.gov/report/response-strategies/adaptation"
},
"chapter_identifier": "adaptation",
"cited_by": [],
"contributors": [],
"create_dt": "2012-10-05T08:18:00",
"files": [
{
"file": "c1/66/140140ec4189a57ff96a6e1ed230/ADAPT_adaptation_process_13905_v1.png",
"href": "http://data.globalchange.gov/assets/c1/66/140140ec4189a57ff96a6e1ed230/ADAPT_adaptation_process_13905_v1.png",
"identifier": "d4af3af6-dacc-4174-89a4-7d827005605e",
"landing_page": null,
"location": null,
"mime_type": "image/png",
"sha1": "03a88a711e58bb03a4508859a8a62c4ecfd950ce",
"size": 148760,
"thumbnail": "c1/66/140140ec4189a57ff96a6e1ed230/.thumb-d4af3af6-dacc-4174-89a4-7d827005605e.png",
"thumbnail_href": "http://data.globalchange.gov/assets/c1/66/140140ec4189a57ff96a6e1ed230/.thumb-d4af3af6-dacc-4174-89a4-7d827005605e.png",
"uri": "/file/d4af3af6-dacc-4174-89a4-7d827005605e",
"url": "/assets/c1/66/140140ec4189a57ff96a6e1ed230/ADAPT_adaptation_process_13905_v1.png"
}
],
"href": "http://data.globalchange.gov/report/nca3/chapter/adaptation/figure/adaptation-process.json",
"identifier": "adaptation-process",
"images": [
{
"attributes": null,
"create_dt": "2012-10-05T08:18:00",
"description": null,
"identifier": "39c4a2b0-011a-4fb9-8fbe-f5750c3f3e17",
"lat_max": null,
"lat_min": null,
"lon_max": null,
"lon_min": null,
"position": null,
"submission_dt": null,
"time_end": null,
"time_start": null,
"title": "Generalized Adaptation Process",
"url": null,
"usage_limits": null
}
],
"kindred_figures": [],
"lat_max": null,
"lat_min": null,
"lon_max": null,
"lon_min": null,
"ordinal": 3,
"parents": [],
"references": [
{
"href": "http://data.globalchange.gov/reference/65ce3b87-d63b-4582-a9b5-f25510b64e97.json",
"uri": "/reference/65ce3b87-d63b-4582-a9b5-f25510b64e97"
}
],
"report_identifier": "nca3",
"source_citation": "adapted from NRC, 2010",
"submission_dt": null,
"time_end": null,
"time_start": null,
"title": "Adaptation Process",
"uri": "/report/nca3/chapter/adaptation/figure/adaptation-process",
"url": "http://nca2014.globalchange.gov/report/response-strategies/adaptation/graphics/adaptation-process",
"usage_limits": "Copyright protected. Obtain permission from the original figure source."
} |
{
"directions": [
"Preheat oven to 450\u00b0F. Combine first 4 ingredients in a shallow 2-quart baking dish; toss to coat. Season with salt and pepper.",
"Roast vegetables, stirring occasionally, until onions are caramelized and softened, about 40 minutes. Stir in 1 tablespoon Sherry vinegar. Season to taste with salt, pepper, and more vinegar, if desired.",
"Arrange fris\u00e9e on plates, dividing evenly. Spoon vegetables over fris\u00e9e. Drizzle juices in baking dish over. Top with cheese, if desired."
],
"ingredients": [
"2 medium red onions, quartered through stem end",
"6 roasted red peppers (from a 24-ounce jar, preferably packed in brine), drained, halved lengthwise",
"6 garlic cloves",
"1/4 cup extra-virgin olive oil",
"Kosher salt, freshly ground pepper",
"1 tablespoon (or more) Sherry vinegar or red wine vinegar",
"8 cups (loosely packed) fris\u00e9e",
"1/3 cup thinly sliced Spanish blue cheese (such as Cabrales or Valde\u00f3n; optional)"
],
"language": "en-US",
"source": "www.epicurious.com",
"tags": [
"Salad",
"Cheese",
"Onion",
"Side",
"Roast",
"Vegetarian",
"Quick & Easy",
"Low Cal",
"Blue Cheese",
"Bell Pepper",
"Healthy",
"Low Cholesterol",
"Pescatarian",
"Wheat/Gluten-Free",
"Peanut Free",
"Tree Nut Free",
"Soy Free",
"No Sugar Added",
"Kosher"
],
"title": "Roasted Pepper and Onion Salad with Blue Cheese",
"url": "http://www.epicurious.com/recipes/food/views/roasted-pepper-and-onion-salad-with-blue-cheese-51117420"
}
|
{"title":"城ヶ崎莉嘉「あんなお姉ちゃん嫌だっ！」","url":"http://morikinoko.com/archives/52084780.html","time":"2017-05-21 18:30:52 UTC"} |
{"code":"7109012005","province_code":"71","regency_code":"7109","district_code":"710901","name":"KANANG"} |
{"Reviews": [{"Author": "Michelle D.", "ReviewID": "lGxSCXEWG6-9-At2LLJLkg", "Overall": "4.0", "Content": "My experience with Vietnamese food is sadly limited so I can't speak to authenticity, but I do know that this food was delicious, well-presented, and served with a friendly smile -even when we took up WAAAAAYY too much of the waiter's time! \u00a0Even better, the food was reasonably priced ($90 for 5 people including 2 alcoholic drinks and 3 appetizers), the atmosphere was relaxed (I will be returning in cooler months to enjoy the patio!!), and the restaurant felt so CLEAN. \u00a0 The spring rolls (we ordered both pork and shrimp) were the size of mini-burritos and contained a well balanced combination of sweet/salty, soft/crunchy and the peanut sauce was AH-MAZING! I could have drank a bucket of it. I would easily order these for a light meal next time.I wasn't feeling particularly adventurous so I ordered the Vege-based Pho with mushrooms, tofu, and chicken. It was delicious. It's hard to shut me up and I don't think I spoke much during my meal-I was too busy stuffing my face.I've read one or two reviews that say they left hungry... um, I'm not sure what type of appetite those people have, but, from what I know of Asian food, you're not supposed to feel \"Thanksgiving-day stuffed\" after a meal! \u00a0I thought this was the perfect amount of food-maybe I should have taken some home even, but the portions and flavor were satisfying. Maybe next time I will build up the nerve to try the Cocks Comb, Head Cheese,Pork Belly, or red pepper braised tripe Pho.", "Date": "2014-07-17", "Author_Location": "New Orleans, LA"}, {"Author": "Nicole E.", "ReviewID": "JJcjMCbAclRGgwe-MERYYg", "Overall": "5.0", "Content": "I eat Vietnamese 2-3 times a week and I really can't stand pretentious chefs so needless to say, I was skeptical walking into Mopho.. I thought the menu looked a little small compared to the 6-7 pages usually found on the westbank. Then I saw the two run farm on the menu and I know how great their meats are so I was started to warm up a little. The waitress then told me they also serve tofu made in New Orleans sold at Hollygrove.. Ok - We were off to a good start but I still set a pretty high standard for Mopho so I was waiting to be wowed....We started with chicken Pho with tofu and mushrooms.. It was - dare I say better then morimoto's chicken soup (my absolute favorite) it was so good in fact, I wanted to take the broth home and eat nothing but that for a week. I had the clams for an entree and my companion had the peas and carrots. Holy shit was it good! The flavors in this place were out of this world. Far exceeded my expectations. The chef and another host/server also stopped by our table to check in with us and the chef was far from pretentious (perhaps even a little charming). Our server was also attentive and engaging (sorry I forgot your name- it was the gal with an accent) Hands down best Pho I've ever had and the ambience was just nice enough that you don't mind dropping a few bucks for dinner but not out of place for the strip mall location. They also seemed to have sound barriers on the ceiling to prevent having to scream over everyone to talk to he person next to you (I'm talking to you Peche!) Great experience. I can't wait to go back to try to whole menu. It was that good.", "Date": "2014-07-04", "Author_Location": "New Orleans, LA"}, {"Author": "caleb g.", "ReviewID": "GHzDeGVrCLVioH-Vfpu9QQ", "Overall": "4.0", "Content": "I've visited three times and all I can say about Mo Pho is give me mo! When I first heard rumors that veterans of August were going to open a neo-Viet bistro, I was psyched (I love both traditional \u00a0& experimental Vietnamese cuisines).I also heard that it was taking extra time because the owners were picky about every element, from decor to kitchen gear, Well I, for one, am grateful for their collective exactitude. Considering its location in a strip mall with a Subway, an armed forces recruiting station and a Burger King, the vibe of Mo Pho is rustic chic to the max. Clean lines, deep muted colors and cool furniture let you know you are at a destination restaurant...but let's talk about the food. \u00a0 First of all, they put an excellent spin on the shrimp spring roll: fried shrimp inside the otherwise cool, fresh roll that is also stuffed with fresh leafy greens-delicious!The noodle & rice options are the same and the two I've sampled have been spectacular. The grilled jumbo shrimp are succulent and redolent of the spicy mustard and basil with which they are cooked, and the baby squash & roasted peppers are a perfect counterbalance to the sweet crustaceans. I had this one with popcorn rice and was delighted with the masterfully fluffy grains, full of nutty flavor in their own right. I have also sampled the slow roasted and crispy fried covey rise eggplant.with Tole's tofu (which I swear taste like little smokies...I mean that as a compliment!) over chilled vermicelli and instantly designated it one of the very best vegetarian dishes in the city. \u00a0 \u00a0There are always tempting specials and on our last visit, my lovely wife chose the cochon de lait (Saturdays only) and was not only literally in hog heaven, but got two full meals out of it. She also loved her Violette Femme cocktail (so much so that we now have a bottle of Creme de Violette in our bar). Service has been warm and efficient every visit, so I can't recommend Mo Pho mo.", "Date": "2014-07-01", "Author_Location": "New Orleans, LA"}, {"Author": "Spencer F.", "ReviewID": "u4hnieENg8f1Ao8oYb7IdA", "Overall": "3.0", "Content": "I got forked at MoPho! When I sit down to eat, I carefully choose which food will be my last bite (the taste I want lingering the longest.) That thought never occured to me here. Ordered oxtail, pork shoulder, and chicken thigh pho in the beef base. This was tasty enough, but the portion size left me wanting. They do pig roasts for Saturday so my family also split the coch\u00f3n appetizer and a coch\u00f3n poboy. The pork was cooked in a coconut curry and served with bread similar to Indian nan mixed with a fajita. Not much else to report on this.Food was top quality but I left feeling like I hadn't eaten anything taste wise. I did read that their wings are impressive but seems out of place for a place called MoPho. Theme is certainly confusing. There was nothing memorable about the place, nothing that made me say WOW when it was served, and nothing I would go back for.", "Date": "2014-06-28", "Author_Location": "Metairie, LA"}, {"Author": "Michel D.", "ReviewID": "sLv092orI-ET_ECogCdqUw", "Overall": "3.0", "Content": "My boyfriend's beef pho was bland (broth) and the vermicelli left me unimpressed. The menu is one of the more expensive Vietnamese restaurants. 3 stars because the wings were amazing and the service was good. I would go back for happy hour when the wings and drinks are discounted, but not my go to choice for Vietnamese cuisine.", "Date": "2014-07-09", "Author_Location": "Gretna, LA"}, {"Author": "Hai L.", "ReviewID": "BlN9UHR1UvPtjzytK4pAmw", "Overall": "3.0", "Content": "Important for readers: Do not park at areas not designated for MoPho Luckily when I arrived, a waitress ran outside and told me to move my car. The tow people on that block works really fast. We saw two cars get towed while we ate. I would like to make a big statement on this restaurant. The restaurant is called MoPho. So, anyone would assume the pho is the main goal for attraction. Boy was I wrong. It was bland and the portion was very small. I am disappointed in the menu. The sales tactic for this business does not sit well with me. There are a few popular dishes at a fair, but not cheap price. Everything else was just expensive. Especially for the area. You have hungry college students always around since it's right by Delgado.", "Date": "2014-05-29", "Author_Location": "New Orleans, LA"}, {"Author": "Tiffany H.", "ReviewID": "OTMKI_fzvDUAUekNL4H5Og", "Overall": "5.0", "Content": "I went yesterday and the shrimp spring rolls were sooooooo good I literally drove back today thru a freaking thunder storm to get some more...that peanut sauce is like crack for my taste buds! They cater to gluten free diets too which is pretty cool...had the lemon grass chicken wannnngs too yesterday and i slurped up ginger sauce when I was done lol Not expensive either for such fresh food...I plan on checking out their happy hour until I'm too pregs to get thru the door...their FOOD happy hour!! Lol menu looks good!!", "Date": "2014-06-01", "Author_Location": "Kenner, LA"}, {"Author": "Mike F.", "ReviewID": "ssAIiprPXMtvVkA2bHxBrQ", "Overall": "4.0", "Content": "- Spring rolls with shrimp were very flavorful. \u00a0The shrimp were perfect and the peanut sauce had a nice kick. \u00a0I could eat a bowl of the sauce by itself.- I had the beef pho with tendon, meatball, and rib eye. \u00a0First, the broth was very nice. \u00a0Beefy and sweet. \u00a0However, not enough noodles and not enough meat. \u00a0I probably had two pieces of tendon. \u00a0The meatballs were ok. \u00a0The rib eye was the best I've had in pho.- For the table, we shared the duck neck. \u00a0Perfect curry and the potatoes, duck, and tofu complemented each other well. \u00a0Nice and tangy, with just a touch of heat. \u00a0One of my favorite dishes.- For dessert, the rich chocolate pudding (almost a mousse in thickness) with the broiled bananas and sesame ice cream was excellent. \u00a0Really enjoyed my meal and on top of that it was a great value.", "Date": "2014-06-05", "Author_Location": "Chandler, AZ"}, {"Author": "Jennie A.", "ReviewID": "XXgbAgOJ3pt-uY8EXOqYLw", "Overall": "4.0", "Content": "Wow was this restaurant amazing. We went during the week but I heard Friday nights are where it is for this place. Everything was so flavorful and rest. All flavored used went well together and I can't wait to bring my husband back.", "Date": "2014-07-01", "Author_Location": "New Orleans, LA"}, {"Author": "Francesco C.", "ReviewID": "ohoexj35W0tJRg5DzPQb5A", "Overall": "5.0", "Content": "As an out of towner, when a local friend raves about a new place in New Orleans - you had better perk up and listen closely.That was the set up for my first visit, which can be a handicap since it sets the expectations very high, but boy did they deliver!We walked in on a Saturday night with Jazz Fest just letting out down the street, and were surprised to find the place relatively quiet. Still one of NOLA's best kept secrets.We took one of the picnic tables in the back outside patio and hunkered down to enjoy an amazing meal, one of those rare and beautiful experiences where every dish that we tried was tasty, unique and captivating; where you know you should stop ordering food, but you can't help yourself and keep trying more and more dishes!The cocktail program follows the line of the modern craft-cocktail model, infused with unique Asian oriented ingredients like ginger, kumquats, etcUnlike some places that have a cocktail menu that tends to hit the same notes over and over, theirs has depth, variety and some wonderful surprises.It being Saturday, we were treated to the whole roasted pig that they do overnight and it was delicious! Served with a roti flatbread, some pickled vegetables and fresh herbs the pork was perfectly seasoned and incredibly tender.Their chicken wing appetizer was glazed with the sweet chili sauce that was punched up with some star anise, lemongrass and ginger.There were several other items that we had that were also delicious but it's not necessarily to go into the details, since it really is the sort of menu that just about anything that you order will knock your socks off! The only average experience that we encountered was with one of the vegetarian dishes (they have a very nice selection of several options for vegetarians!), \u00a0It was accompanied with noodles that were quite bland. This was done by design to clean the palate but in this particular case I would go with a rice accompaniment, since it followed the same philosophy but was executed considerably better.The desserts also followed the style that you find in a lot of Asian gourmet restaurants, where ingredients are referenced from the cannon of typical Asian ingredients, with a nod towards subtlety and creativity.MoPho has excellent provenance with the head chef earning his chops as the former chef de cuisine at John Besh's August.It is obvious that he took everything he learned about fine dining, and channeled it into his vision of Asian fusion with wonderful results.Such a rarity and a privilege to be at a restaurant in which they hit all the right notes in every single part of the dinning experience. Bravo!", "Date": "2014-05-07", "Author_Location": "Houston, TX"}, {"Author": "Josh V.", "ReviewID": "9_L1S4HvEJTWCBe2MplbGA", "Overall": "5.0", "Content": "As anyone reviewing a business should, I visited this restaurant 2 times before I decided to write a Yelp review about it. I wanted to make sure I captured the whole experience and to try as many different dishes, both on and off the menu (they offer nightly specials ranging from salad to grilled octopus), as I could. Location: Mopho is located (somewhat hidden)in a small shopping center just a few short blocks from the Canal Street streetcar line. The bright blue and orange building sits next to Subway and shares a lot with a few fast food establishments. The location is very convenient for those coming by car, bike, foot, or public transit. In earlier reviews I read that parking was an issue but that seems to have worked itself out (good try Burger King). Atmosphere:Inside Mopho is a hip, almost industrial feeling atmosphere. Lots of tables ranging in sizes to accommodate everyone from the casual daters to a big party out for a night of food and fun. There is a long counter situated near the back of the restaurant that sat empty each time I visited. Perhaps if the view out the window wasn't the back side of a snowball shop, more customers would be keen to sit there. \u00a0A large bar fully stocked with one of the better assortments of liquor I've seen in a restaurant in a long time. Lots of local beers and higher quality liquors line the back wall of the bar. To the right as I walked in, I noticed 2 large garage doors(which im told they open on nice days) lead to a gorgeous patio with 5 large wooden picnic tables and a large grill/roaster placed in the corner for fresh off the grill dishes. As of my last visit, the folks at Mopho had transformed the deck into a beautiful herb garden/tropical retreat. Food and Service:VISIT 1 (Thursday 1:30pm):Servers Name: DianaOrdered shrimp spring rolls as an appetizer and Shakin Beef Cheeks on rice as my lunch entree. Diana was friendly and knowledgeable. I Had to ask for more water a couple of times, but other than that the service was good. The shrimp spring rolls (2 to an order) contained pickled veggies and fried shrimp wrapped in rice paper. They were pretty good but the peanut sauce that came with them was insanely tastey. \u00a0The beef cheeks were also good. Neither dish jumped out to me as amazing, VISIT 2 (Saturday 8pm)Server: KyanOrdered Chicken Wings and Oyster Appetizer per Kyan's recommendation. Pepper Jelly Clams as Entree. Condensed Milk Cake for dessert. Kyan was very fun, friendly, and attentive. From what I could tell, he had about 4 other tables, one being just as large a party as ours, and not once did I feel like the service was lacking because of it. This visit I was in a group of 5 and we were quickly greeted by Kyan with 5 waters in hand. A few of us ordered cocktails before asking Kyan what he recommended on the menu. \"You can't leave without trying the wings\" Kyan said. One of my group was Pescetarian so we threw on an order of oysters as well. The wings were some of the best I have ever had, and I've had a lot of wings in my life. The lemongrass soy wing sauce was so good we contemplated ordering bread just to clean what was left on the plate. The oysters were great too. Im not a big fan of bleu cheese but somehow this dish worked. After the appetizers, I was excited to try to the clams. Our waiter had said they were one of his personal favorites and suggested we use the Vietnamese beignets (included in dish) to \"sop up\" the heavenly mixture of coconut milk and lamb lardo left in the bowl after the clams were gone. We did just that. \u00a0For dessert, we decided on a Condensed Milk cake. Which is best described as Vietnamese Coffee meets tres leches. There wasn't a crumb left on the plate once we had finished. Final Thoughts:Mopho is a must try for everyone,and a new personal favorite spot of mine. Don't go in expecting traditional Vietnamese cuisine, cause you won't find it there. What you will find is a creative twist on Viet food using local produce and local flavors. You can tell the chef puts his heart into the dishes and I look forward to trying more of them in the future.", "Date": "2014-07-15", "Author_Location": "New Orleans, LA"}, {"Author": "Scott N.", "ReviewID": "qDcmZIrJ2l8-Pq_mee0BDQ", "Overall": "4.0", "Content": "i wanted to eat here twice before reviewing. my first visit was about a month ago and i had the beef pho with oxtail, mushrooms, and greens. i was SO hungover and felt AWFUL, and this hit the spot. i really enjoyed having a lot of protein adds to choose from. i think it's the best variety option you can ask for with pho in town. we also got the wings that were awesome. just a bit too much sauce though. but they were excellent wings overall. second trip got me. beef pho with oxtail, head cheese, mushrooms, and greens. it was one of the best pho bowls i've had. the head cheese was what made it seriously good. i was also able to enjoy it thoroughly because i didn't feel like death warmed over. i like this place and recommend it. it's a nice little step off the token pho path.", "Date": "2014-05-29", "Author_Location": "New Orleans, LA"}, {"Author": "Tish D.", "ReviewID": "CcfdfX6qpNRXD-Vh4askCg", "Overall": "3.0", "Content": "A group of friends and I decided to try this place out. \u00a0The atmosphere is nice, the staff friendly and then menu, well.....It's good, don't get me wrong. \u00a0I ordered the Fingerling Sweet Potatoes. \u00a0It was nice. \u00a0The brussel sprouts were a lovely addition. \u00a0My only pick with it is that I felt it was highly overpriced for what it was (sweet potatoes, brussel sprouts, and coconut milk) at $15.00. \u00a0Friends at the table ordered vegetarian pho and grilled jumbo shrimp. \u00a0I got the same reaction from everyone....good, but not great. \u00a0Sharing dessert with everyone was a good decision. \u00a0I cannot remember the name of the two sweet treats we ordered, but we were more impressed by them than the actual meal. \u00a0I would go here again to explore the menu more.", "Date": "2014-05-09", "Author_Location": "New Orleans, LA"}, {"Author": "J. Otis S.", "ReviewID": "P3xl_FwSQTOE3M2wPdm9_A", "Overall": "3.0", "Content": "In general I like mopho. But this time I was very annoyed. My order was specified to have \"no green vegetables!\" Since I'm on blood thinners for a DVT. \u00a0Thanks! My pick up order duck poboy was packed with green veggies! Not cool....", "Date": "2014-06-21", "Author_Location": "New Orleans, LA"}, {"Author": "Jordan H.", "ReviewID": "mNySl-7K0x-YBKU9UpQXuA", "Overall": "5.0", "Content": "I've now eaten here twice and have yet to try something NOT delicious.The shrimp and tofu spring rolls are, respectively, outstanding. I want to drink the accompanying peanut sauce as a meal in itself.The P&J oyster poboy is arguably a top 3 poboy in New Orleans. It's not a sloppy dive bar poboy; aka a cheap hooker. Instead, at Mopho, you pay 14 dollars for a fine, moderately portioned yet brilliant work of art laden on duck pate over a french baguette. The clams entree is outstanding and cooked to perfection. It's a rich and wonderful treat paired with orange benghiets for purposes of sopping up all of that yummy juice.Service is great here and there's ample parking in the little strip shopping mall harboring it. Prices are obviously higher than neighborhood competitors Burger King, Bud's Broiler, Subway, and Tacos del Mar, so I sincerely hope people take the time to cruise over to Mid-City and give this place a chance. Sadly, the lack of a drive thru will probably cost MoPho a large percentage of obese, lazy Yats in close proximity that refuse to leave their vehicle to eat. Such a shame.This is one of the better spots in town. Do yourself a favor and try it out.", "Date": "2014-03-31", "Author_Location": "Venice, CA"}, {"Author": "Amanda C.", "ReviewID": "ZHiYhr3_IQYH9jVjLLrBEw", "Overall": "4.0", "Content": "Finally went to the last place on my pho list in New Orleans and was pleasantly surprised. No, it's not authentic, but it's not trying to be. It's a great creative twist on pho that allows you to customize your soup by adding your own ingredients. I had the beef base with pork belly and oxtail. The pork belly was delicious but the oxtail spread out all over the soup in a way I didn't really like. Aside from that and my usual additions of hoisin, sriracha, and some citrus, the flavor of the broth was bangin. Even the texture of the noodles was spot on. I totally didn't expect this, given that everything else was so different. We also ordered fried spring rolls (not on the menu, but they're the ones that come with buns and they cost $.75 each. These were my least favorite part of the meal only because the inside was pork with straight barbecue sauce. I guess they were good as food goes, but not at all what I was expecting them to taste like. Either way, it's a great lunch spot and I'll definitely be back.", "Date": "2014-06-09", "Author_Location": "New York, NY"}, {"Author": "Natalie G.", "ReviewID": "chLLaB3lnI4vmqytkU6tDw", "Overall": "5.0", "Content": "I am Mopho-natic! I have been to this place at least 5 times since they opened. On two occasions I drove from my home in Covington 35+ miles to this place for a bowl of pho (and two to take home) because I crave their stuff. Oh believe me, I once tried to satisfy that craving by going to Pho An restaurant right near my home, but I can say that I have decided not to make that mistake again.I'll admit I am a Vietnamese food novice. My experience is limited to Doson Noodle house prior to these adventures, but that stuff at Pho An was undeserving of even half of the $10 I spent, not to mention the broth lacked flavor. Mopho's broth on the other hand, is exceptional. \u00a0I have tried the beef and pork(which is no longer on the menu) and only had to add basil, lime, hoisin and jalape\u00f1o to get it to my liking. I usually order meatballs and flank for my protein, or when I am missing the pork broth, pork shoulder. They are especially generous with the pork. Maybe it's because they roast their own whole pig on the premises. I found that out this weekend when I brought my out of town guest to this restaurant and the smell of BBQ filled the air.We ordered the wings, which anyone with half a taste bud would tell you were \u00a0delicious. She ordered the shrimp, broccoli and mushroom on warm vermicelli, with a fried egg on it. She raved about it so much I may have to try it next time, and take my pho to go. She said that even though the portion looked small, it was filling. \u00a0She also had the fried oyster appetizer on recommendation of a nearby table, and she was extremely impressed. There is nothing especially for kids on the menu, so we ordered a fried shrimp and ham poboy for my 9 yr old and her 7 year old to split. The kids liked their sandwich with the exception of the mint leaf they each bit into and burned their mouths.We did not try to fight with the kids over the wings. We let them eat more than we did, because they were quicker than us at grabbing them. One of the kids found a tiny royal blue ball in the plate of wings. The server went to investigate what it was in the kitchen. Turns out it was a coriander seed that is a component of the wing sauce. \u00a0Maybe I should not be giving away the chef's secrets, but I would be happy to have him scold me for it. Chef Mike, one of the owners, is a complete hottie! \u00a0What a perfect combination a man who can cook and wear the hell out of an apron. Maybe you can catch a glimpse if he gets a beak away from the kitchen. The five stars are because Chef Mike is mesmerizing, otherwise it is a four because of having to be a part of the restaurant's learning curve with changing menus and such.", "Date": "2014-04-15", "Author_Location": "Covington, LA"}, {"Author": "John P.", "ReviewID": "zgotVQkZzcMLGYRuTQqhQA", "Overall": "3.0", "Content": "Before we were seated the hostess wiped the table with a dirty looking dish cloth. Leaving the table top wet and sticky. However the roll of paper towels left on the table were put to good use. The room was pleasant - urban hip chic. The wait staff wore company t-shirts and shorts. Very casual. I ordered the fowl pho with chicken. The broth looked and tasted like beef. My dining partner wanted me to send it back. I did invite the waiter to help me find the chicken in the soup. After 5 scoops with a large spoon we found a thumbnail piece. I asked if this was normal. He replied yes in a creepy tone. Overpriced. Bad manners. Dirty.", "Date": "2014-07-08", "Author_Location": "Abita Springs, LA"}, {"Author": "Lauren S.", "ReviewID": "BgDNJmBV0eDc4xAmrBIbdg", "Overall": "4.0", "Content": "This isn't your Vietnamese grandma's pho, but it's still good (yet different). Think of it more as a modern foodie impressionist version of Vietnamese. It doesn't quite look or taste like the authentic \"real thing,\" but that doesn't mean I don't really like it. Where else are you going to find boba tea cocktails? That shit is genius and delicious! \u00a0I also really enjoyed the shrimp spring rolls and vegetarian pho. \u00a0Boyfriend got pork pho with pork belly, duck sausage, and greens. He loved it.Will Mopho push the more authentic Vietnamese restaurants out of my regular dining rotation? Nope. \u00a0But will Mopho be added to the rotation? You beat ya.", "Date": "2014-03-06", "Author_Location": "New Orleans, LA"}, {"Author": "Caitlin C.", "ReviewID": "tTehMmSoh7faGu0JtkrqbA", "Overall": "5.0", "Content": "I ate here for the first time today and had lunch. I am shocked that Mopho doesn't have \u00a0a higher rating than it does.Anyway, I got the tofu po-boy. I believe the tofu was described as cast-iron roasted or something like that. You may think I'm crazy for raving about tofu but this sandwich was amazing. It was quite filling and came with some kind of chips, which were good. The iced tea had a hint of lemongrass, which was nice. The staff was excellent. Given the location, I think I have found my lunch spot for payday Fridays.", "Date": "2014-03-07", "Author_Location": "New Orleans, LA"}, {"Author": "Victoria T.", "ReviewID": "l2sr2IIvj9_ga4zYvOXPPQ", "Overall": "3.0", "Content": "I had to give this place another try before I wrote a review. I had high expectations before trying this place because of the anticipation of the restaurant being open and also from my friends' reviews of it. The first time I went here I ordered the Pho, and here they let you pick up to 3 types of meat, the broth, and any additional meat with an extra charge. I got the beef pho with pork belly and meatball.. Sadly I thought the Pho was okay, and it didn't have much flavor and the quality wasn't as good compared to other pho places. Second time I went I ordered the crispy fried P&J oysters. I am a huge fan of oysters, and I enjoyed this appetizer, sauce was interesting, but I liked it. For the entree I ordered Pepper Jelly Braised Cedar Key Clams off of the specials. I must say the clams were great, with the sauce. Overall it's still an okay place for me. But I wouldn't mind coming back to try other things on the menu.", "Date": "2014-03-17", "Author_Location": "Metairie, LA"}, {"Author": "Jen L.", "ReviewID": "GYLLea13MFDA4Ub7ZuUmIA", "Overall": "4.0", "Content": "I was a bit hesitant when I met a big group and this new hotspot since I knew they had a focus on the meats, but I was pleasantly surprised at the number of straight up vegetarian/vegan options, plus you know plenty for the meat eaters & the pescetarians.My group gobbled down the wings like they were the last food on earth and then I watched as folks used spoons to scoop up the rest of the sauce...I'd say that was a solid endorsement. I sampled both the shrimp and tofu spring rolls (tofu spring rolls are not on the menu but they are happy to make them). The shrimp was fried which added a really nice texture to the standard spring roll and the sauce that they came with (made in house) was SOOO yummy. For an entree I had the black bean braised crab bowl with rice. The black beans which I'm guessing were the fermented variety had a strong flavor that almost overtopped the crab but not quite. It really was a delicate balance. The fried okra that was an accent to the dish was hit or miss; some bits were a tad overcooked. \u00a0I snitched a bit of my neighbors fried tofu and cauliflower rice bowl and it was AMAZING. Others at the table ordered the pho which comes in a variety of broths with your choice of proteins. Everyone was raving about the broths, the meats, and the fancy soy sauce. No desserts for our group and no cocktail for me this time. The boba teas with alcohol seemed a popular choice with the group and the cocktail list looked inventive.Our server handled our large group (13) with ease and it was a lovely night to sit on the back deck (at picnic tables). There is parking in front of the restaurant and in the back (where you enter through the deck/backdoor). There are warnings everywhere that the Burger King will have you towed if you park in their lot, so be warned.Will definitely be heading back soon.", "Date": "2014-02-21", "Author_Location": "New Orleans, LA"}, {"Author": "Nicky P.", "ReviewID": "9MW_7JoXnMKFfX1-IDbHlg", "Overall": "1.0", "Content": "This is what happens when hipsters open a Pho joint. Vegetarian pho was mediocre at best. Broth had a strange flavor and was mildly reminiscent of vegetarian broth. The greens were a bitter addition and don't blend well with the broth. My friend who got the beef pho said herswas good, she's had better, but it wasn't awful. Bummer guys. Seriously.", "Date": "2014-03-02", "Author_Location": "New Orleans, LA"}, {"Author": "Mike C.", "ReviewID": "bcI6AS6PwCjhONXAFsH2hQ", "Overall": "3.0", "Content": "I love a good bowl of pho and was \"pho-king\" stoked to learn that there was going to be a pho restaurant within walking distance of my house. \u00a0Well, let's just saw I was pretty happy.I happened to be off duty one Monday, and the weather outside was perfect for a stroll with the family. \u00a0So we decided to take a walk/stroll to Mopho. \u00a0We arrived slightly before 12 and there were only 3 tables seated, so we chose a booth/table near the door.We were very impressed upon first walking in as the place was still new and the d\u00e9cor was very chic. \u00a0Your eyes are first drawn to the bar, which was made of polished hardwoods and slate. \u00a0The floors were highly polished concrete and the menus were on little clipboards. \u00a0You had your choice of eating at the bar, a table, a high top table, or a window bar style seat. \u00a0Each table came with a small bottle of Bluegrass handcrafted soy sauce, which was totally cool. \u00a0There was even a nice sized patio out back for outdoor dining, and I was getting a pretty good vibe about this place. \u00a0Within a few minutes of our arrival, every single table soon filled with patrons, so I'm glad we got our in before the swarm arrived. \u00a0 We ordered a duck bahn mi sandwich. The bread was perfectly crispy on the very outer crust, but soft on the inside. \u00a0The duck was flavorful and plentiful, and I can definitely recommend this sandwich. \u00a0The pho was just ok. \u00a0I think it's really cool that you get to pick the type of broth that you want in your pho (eg, beef, vegetable, etc....) You also get to choose three (3) proteins with your pho, which is also super cool. \u00a0We decided on the beef broth with duck confit, flank & meatballs. \u00a0Although it was a decent pho, it was nothing to rave about. \u00a0Not bad mind you, just not quite what I was hoping for. \u00a0I guess my palate is used to a different flavored pho.But this was just a minor setback and probably would not stop me from going again. \u00a0I would probably pass on the pho and just explore the rest of the menu.", "Date": "2014-02-18", "Author_Location": "New Orleans, LA"}, {"Author": "Rachel D.", "ReviewID": "UQG26J4F2NWBba7hTSt_NQ", "Overall": "5.0", "Content": "I heard someone comparing Mopho to Namese - and I don't see any comparison worth offering. Mopho's takes food to another level - we just had the whole fish on top of mustard greens with rice on the side. And then we ended with the chocolate creme br\u00fbl\u00e9e with sesame oil. Don't know anyone doing this kind of food here - and it is definitely one of my new favorite spots in Midcity.", "Date": "2014-06-01", "Author_Location": "New Orleans, LA"}, {"Author": "Laura G.", "ReviewID": "77NxC3Ji1fem7ii_eokufg", "Overall": "3.0", "Content": "Great atmosphere. Did not care for the fresh spring rolls, as they contained deep fried shrimp. Not a fan of having breaded shrimp in fresh rolls. Pho, well again, chargrilled chicken doesn't belong in pho. They also added deep fried shallots. \u00a0I prefer the more traditional style of pho, where it's fresh.", "Date": "2014-05-18", "Author_Location": "New Orleans, LA"}, {"Author": "Niki M.", "ReviewID": "8ITBJU18Pn4pgWOUzIjc4Q", "Overall": "3.0", "Content": "I want to give 3.5 stars, but I can't...so I'll give 3.I was having a hankering for pho because it was a wee bit chilly outside. \u00a0Mopho is new, it's close to my humble abode, and it's on my way home from work.First off, I love the name. \u00a0What can I say? I'm a sucker for funny names of establishments.The atmosphere is really nice. \u00a0It's definitely not your run of the mill Vietnamese joint, and you wouldn't expect it to be with a chef that once cooked with John Besh. \u00a0It's dimly lit with pretty brown and orange colors as the color palette. \u00a0I really liked their use of old fashioned Edison light bulbs. \u00a0It was a nice touch. \u00a0I decided to sit at the bar. \u00a0A couple different people waited on me. \u00a0The service was quick and attentive. \u00a0First you pick your broth (fowl, beef, pork, etc.). \u00a0Then you pick 3 out of 4 proteins to add to it. \u00a0I decided to go with the pork pho. For my proteins I choose duck meatballs, pork belly and pork shoulder. \u00a0As another review stated, I was disappointed in the fixins that came out. \u00a0There wasn't very much of it, and the basil and cilantro were limp. \u00a0Now for the pho. \u00a0I really loved the broth of this pho, but that didn't hold a candle to the meat. The meat was absolutely delicious. \u00a0But I do have to say that even though I loved this, it didn't seem like pho to me. \u00a0Something was missing...I'm thinking it was star anise? \u00a0I would get this again because it's a great soup, but likely wouldn't get it to satisfy my pho craving.I also thought the serving was small. \u00a0It's noodles! \u00a0They're cheap! \u00a0Gimmie more! \u00a0I was happy with the amount of meat, but really wanted more noodles and broth.When I normally eat pho, I'm so stuffed I could barely move. \u00a0This time I left feeling like I could've eaten more. \u00a0The menu was pretty adventurous, and I'm looking forward to going back and trying some of their other offerings.", "Date": "2014-02-13", "Author_Location": "New Orleans, LA"}, {"Author": "Simon B.", "ReviewID": "ATkWsicIOLKv9SkdD9lGvg", "Overall": "4.0", "Content": "Pretty darn good. \u00a0I had been looking forward to going for quite some time. \u00a0I'm actually not a Pho guy, but I order it every now and again. \u00a0I am, on the other hand, a huge Vietnamese food guy, so I was stoked to try this twist on Vietnamese cuisine. \u00a0We got the Lemongrass Chicken Wings and the P&J Fried Oysters to start. \u00a0I am a chicken wing enthusiast, with the Holy Grail of wings, in my humble opinion, belonging to Tan Dinh. \u00a0I mean seriously, it truly doesn't get any better. \u00a0But these are good. \u00a0A little sweet for my tastes, but I would imagine I'm in the minority on preferring a more tart and garlicky type of wing, as opposed to the Lemongrass/Ginger style that we were served last night. \u00a0These really were good though, I might not get them again, but I certainly would recommend them. \u00a0The fried oysters were something special. \u00a0They were perfectly crusted and fried, and set on a pool of what I think was a spicy mayo that also incorporated some creamy bleu cheese. \u00a0Delicious. \u00a0Slightly overpriced at $14, but regardless, I'll probably get them every time I go. \u00a0I got the Pork Pho broth and added oyster mushrooms, duck sausage, pork belly, and hogs head cheese for my proteins. \u00a0It was delicious. \u00a0Only problem was the hogs head cheese wasn't in there. \u00a0And it's my fault completely for not letting the server know, but I felt horrible for her because we were sitting next to these two chicks who were possibly the highest maintenance table I've ever witnessed. \u00a0Trying to create their own menu, freaking out over the possibility of anything fried in their food (p.s. just because your brussels sprouts are charred with a little crisp, it doesn't necessarily mean it was fried or BATTERED as she kept whining), so I didn't want to bug her any more. \u00a0We had the dark chocolate pudding with sesame oil and the torched bananas for dessert. \u00a0I really don't like chocolate (wacky I know) but this was good. \u00a0Would have rather gotten the rice cake thingy with meringue, but it's a good excuse to go back again and try the Bahn Mi, or maybe an entree, and get those oysters again. \u00a0I ordered a Boba Tea with Meyer Lemon Infused Vodka called Guns N Roses, because I'm a gigantic Guns N Roses fan, and I was slightly let down, but that's what happens when you order a drink based off of a band featuring a reclusive, overweight singer who also happens to be the only remaining original member. \u00a0How I wish my Mom would have let me go to the Astrodome in 1992 to see Guns N Roses/Metallica/Faith No More. \u00a0But alas, I was 12 and it was a school night. \u00a0But I digress....the point of the story is, MoPho was pretty awesome and I look forward to heading back at some point in the near future.", "Date": "2014-02-17", "Author_Location": "New Orleans, LA"}, {"Author": "Travis S.", "ReviewID": "vDWwYPvbt2D472Nzy_aWVA", "Overall": "5.0", "Content": "I can't honestly tell you that these people have the BEST PHO EVER! I'm no expert! Unlike other reviewers here, i'm not Vietnamese, haven't been to Vietnam either. I've had pho only once before my first time here. What I can tell you is that I f&$king LOVE THIS PLACE. I prefer Mopho over Pho Hoa & Pho Bang on Manhattan.You choose your broth: fowl, beef or vegetarian. Then you get to pick up to three meats before an up charge is added on. It comes with the standard setup of clearly fresh mung bean sprouts, cilantro, basil, \u00a0sliced jalape\u00f1o, & lime wedges. I am so addicted to the wings and spring rolls. Wings are brined before they're fried and tossed in a fish sauce caramel sauce( fish sauce, ginger, lemongrass, soy and tamarind) with a little ginger & lemongrass garnish. I've been here three times in a week. Have a tamarind sour, some wings and for a limited time I'm sure, some crawfish springrolls.if you're a lonely diner, be sure to hit up Drew at the bar!", "Date": "2014-05-18", "Author_Location": "New Orleans, LA"}, {"Author": "M K.", "ReviewID": "k-4zPGHyXxiVCFQF_hRayA", "Overall": "1.0", "Content": "Maybe it was all of the hype surrounding this place, but it was a truly disappointing experience. \u00a0Definitely frustrating as it has so much potential, has a cool ambiance, nice logo, menu, etc. \u00a0But, it just didn't deliver. \u00a0The service was poor and the food took forever, but they just opened, so this is easily excused as they work out these kinks (and the rating is for the food only). \u00a0Went for lunch and actually had the worst pho I have ever had. \u00a0It tasted like a jus - almost like roast beef soup. \u00a0Can't call yourself MoPho and drop the ball on your pho. \u00a0The chicken wings were good, but in a PF changs guilty pleasure way, not a technically good and innovative way. \u00a0Basically fried chicken with a sugary ginger sauce. \u00a0Plus, very overpriced. \u00a0$10 for 8 wings is a bit ridic. \u00a0Friend had the green curry (at $17 or something like that for lunch is also insane), and said it was pretty bad. With great vietnamese places littering this city, like Pho Tau Bay, Tan Dinh, Magasin, etc, it's hard to justify coming back.", "Date": "2014-01-25", "Author_Location": "New Orleans, LA"}, {"Author": "John T.", "ReviewID": "dyGPxrYF62yQv8OXTnMUkA", "Overall": "3.0", "Content": "I would go back but I might steer clear of the the Specials. \u00a0I got the glutinous rice cake and it was great, dont get me wrong. \u00a0but it was the size of an appetizer. \u00a0I got yeld at from someone in our party who is a \"foodie\" who hates when people complain on portion size. \u00a0But for me if i am going to spend $30 I want to box some up. \u00a0 it was great, just small.i also got the pork belly vermichelli bowl and it was fantastic and well priced. \u00a0for appetizer we got the wings and might be the best wings i have had in a long long time. \u00a0they are really big wings. \u00a0i got a bubble tea alcoholic drink. \u00a0it was expensive and kinda just like a dachari. \u00a0i wont get one again. \u00a0not a fan.overall it was definitely good with good option. \u00a0over priced in my opinion on a few items. \u00a0i wont hesitate to go back and try something else. \u00a0i could definitely see my rating rise", "Date": "2014-03-08", "Author_Location": "New Orleans, LA"}, {"Author": "Judy H.", "ReviewID": "N6t11TVhX0kZitM8zHbihw", "Overall": "3.0", "Content": "The chicken wings were pretty good. I came in a little sick so I can't say that I was in the tip top shape to critique any of the food. That being said, the pho was still not the best pho I've had. It was pretty mediocre and definitely not traditional pho. Although I understand the appeal of choosing your own \"toppings\" for pho with the broth, it was weird to have pork with a beef broth and have no pork broth? option. However, it did do the trick in making me feel better. There was a lot on the menu I wanted to try and the bar looked really cool.", "Date": "2014-03-08", "Author_Location": "Addison, TX"}, {"Author": "Brenda L.", "ReviewID": "liuHOc605Dmkj5sBC4A98A", "Overall": "2.0", "Content": "The pho tasted like water down broth. Meatballs I guess were homemade but didn't taste good. Nothing spoke out to me. The wings were pretty good that's it.", "Date": "2014-06-16", "Author_Location": "Ocean Springs, MS"}, {"Author": "Naomi L.", "ReviewID": "EdQkFVi7N3sSeW-6pgyD2w", "Overall": "2.0", "Content": "Great service, perhaps we chose the wrong items on the menu. Bf's sweet potato and brussels sprouts in some sort of coconut broth was just bad. On top that, it cost $15. Uh... I mean there was no meat and the main veggies were not exotic. I don't understand where the value for the money went. I got pork belly rice vermicelli. There was no sauce for the vermicelli, which was sad. Some of the pork belly was all fat. The little pork cake-pate-thing was good. Pros: hostess let us move from bar to table when seats opened up. Waitress was super nice and attentive. Drip coffee was amazing and the best part of the meal! \u00a0Cons: told there was no boba when at least 3x other people had boba drinks. The seating set-up was strange and a majority of the tables were by the door (where the chilly air was coming in). Perhaps we will come back to try the boba since the fancy combos they offer sound awesome. However, we will not be back for the food unless something changes.", "Date": "2014-02-13", "Author_Location": "New Orleans, LA"}, {"Author": "Liesl Z.", "ReviewID": "i8fcB_9rCrlhX-O6m75Sag", "Overall": "5.0", "Content": "I went to Mopho today because I was craving something different from the usual suspects around there. \u00a0They didn't disappoint. \u00a0I got the Pork Shoulder Spring Roll, and the Duck Po'boy. \u00a0They were both delicious. \u00a0The Duck Po'boy was messy but well worth getting. \u00a0The pork shoulder in the spring roll was nice and tender and went perfectly with the veggies. \u00a0I'll definitely be back again.", "Date": "2014-05-07", "Author_Location": "Mid-City, New Orleans, LA"}, {"Author": "Jolie D.", "ReviewID": "dAnurqwd4ecaIz5cbAdcZQ", "Overall": "3.0", "Content": "Mopho almost has it. A couple of refinements and it could be amazing. Came here on a Friday evening and sat at the bar. Starting with drinks: I had the Dragon Lady, a tequila-based cocktail that was a tad confused... Trying to meld Southern and Asian flavors is difficult. The bourbon?-soaked cherries with lemongrass was a miss and it was a little on the meager side. For dinner: shrimp spring rolls (too thick and fall-apart to share) with an amazing peanut sauce), fried oysters (amazing and beautifully plated but lacked acid to balance the dish), lamb neck stew (needed an incorporated starch like rice or potatoes) and the duck po boy (the pickled veggies didn't compliment the duck flavor). Also, the menu was \"paired down\" so much that we only found 20-ish dishes total to choose from. Pleasant service though, from the moment in (20 minutes from closing) to the minutes out. Nice job from Shauna!", "Date": "2014-03-08", "Author_Location": "Los Angeles, CA"}, {"Author": "Reg H.", "ReviewID": "ftUHnWNbSiO3wjxb-GZKhg", "Overall": "4.0", "Content": "I've eaten there once, and I was truly surprised to find its very different take on Vietnamese cuisine. \u00a0Don't get me wrong, I'm a BIG FAN of ordinary Vietnamese food (Pho, Bun Bi, Cha Giao, Thit Noung, etc.), but these guys put their own stamp on it giving you your choice of a wide range of ingredients in their Pho. \u00a0You can choose beef, fowl, or fish broth, then you can pick the ingredients that go into the broth from among something like ten different items. \u00a0I picked duck sausage and collard greens in a beef broth and I was amazed at the rich flavor, \u00a0The spring rolls were likewise different from the \"ordinary\" spring rolls I get at most of the old school Vietnamese restaurants.Now don't get me wrong; Nine Roses, Pho Bang, and Dong Phuong are still going to get my dining-out dollars, but as of today there's a new kid in town, and I'm going to be bringing friends and family to MoPho.A last word: \u00a0It's a bit pricey. \u00a0My brother and I took my 78 year old mom and my five-year old daughter, and the bill including taxes and tip topped $80. \u00a0We did not have alcohol. \u00a0Mopho isn't where I'm going to go for my half-hour lunch break meal, but I will be visiting it for periodic treats.", "Date": "2014-03-12", "Author_Location": "Metairie, LA"}, {"Author": "Natalie H.", "ReviewID": "jlHin83Qi77i8UaSPb8T-w", "Overall": "5.0", "Content": "I'm hesitant to give a restaurant that just opened its doors five stars but this experience was totally worth it! Let's dive right in. The atmosphere was casual & welcoming. The place is small and seating is limited but the food comes quickly which makes for a quick turnover. There was a 20 minute wait but we waited for drinks at the bar for 10 and then were seated by the time we cashed out. The bar was swamped but seemed to handle the crowd well.As soon as we were seated our waitress approached and we asked for suggestions. She gave us a breakdown of her favorite items from each category and was able to answer our questions knowledgeably and easily. (Extra star for well trained servers!) So, we decided to start with the crispy chicken wings which were unbelievable. The lemongrass and ginger was the perfect combination for these wings. I want that sauce on everything. Everything. For entrees my friend decided to do Pho (why wouldn't you? It's a restaurant called MoPho afterall). What makes this decision different is all of the options you have. You choose your broth and your protein. It's an a la cart pho! Where has then been all of my life? We opted for the Chicken broth with Oxtail, Duck Sausage, and Oyster Mushrooms. The Oxtail was incredible. The duck sausage basically melts in your mouth and has a distinct handmade texture to it that will make you never want another sausage in your life. Yum. Now, I decided on the Vermicelli. Also, plenty of options here for every craving. I opted for the Grilled Jumbo Shrimp with (I pause here for dramatic purposes) spicy pork pate, mint & basil. I'm sorry. I'll repeat that. Spicy Pork Pate. Shrimp. Vermicelli. Spicy Pork Pate. It was to-die for. To cap it all off I added a fried egg because why not? The yolk created this awesome sauce that mixed in with the ginger and created this creamy deliciousness that just makes you want to face plant your food. (Face planting is a technique I highly recommend BTW).Now after all of this incredible food that I wanted to eat all over again we of course had to cap our meal off with dessert. The waitress verbally went over our options and they would be all listed here if I could remember anything she said after \"chocolate\" so we, naturally, went with the chocolate pudding with caramelized bananas & toasted sesame sauce served with chicory ice cream. While I will say this was my least favorite part of the meal (simply because I was so stuffed) it held its own against the rest of the meal. The pudding was flavorful and had a perfect consistency. The caramelized bananas, I mean hello. And the chicory ice cream had a perfect bite to it to make sure this dessert isn't overly sweet.The moral of the story is: You shouldn't have even read this far. You should be making plans for your next meal at MoPho and you should invite me because I want to go back. Yesterday.", "Date": "2014-01-15", "Author_Location": "New Orleans, LA"}, {"Author": "Nicole C.", "ReviewID": "Zis3YnCzyOGBnXI8XpDZZg", "Overall": "4.0", "Content": "Friday night and this place was packed! A good sign. The hostess said our wait would be an hour, but looking around I had faith it would be no where near that. Right I was! Maybe 25 minutes later we had a table for 2.Started with the crispy chicken wings, as I had already heard great things. These were on point! Order them. For main dish I had the Grilled Shrimp Vermicelli with spicy pork pate. Spicy pork pate! Need I say more? For just .50 cents you can add a fried egg or pork spring roll. Our waitress was slammed but she seemed to keep her cool and served our table with ease. Props lady, I know you were hustling. I am not sure if it was the owner or manager but there was a gentleman walking around checking on the tables. Good idea! We told him how great everything was. Great addition to Mid-City. Looking forward to a return visit.", "Date": "2014-01-21", "Author_Location": "Gretna, LA"}, {"Author": "Bobby J.", "ReviewID": "5NnOrfyBP7DW0oGfhC5gzg", "Overall": "1.0", "Content": "The menu does not accurately depict the food. \u00a0Also the waitstaff was not attentive. \u00a0We were actually excited about eating here...", "Date": "2014-06-27", "Author_Location": "Norman, OK"}, {"Author": "Lauren G.", "ReviewID": "-CJIKMuKQTq8vWz0wvS7RA", "Overall": "4.0", "Content": "Brand new place and they just had a write-up in the Times-Picayune Lagniappe yesterday... \u00a0my husband is intrigued and wants to go for lunch on his birthday. \u00a0He's a total foodie, and I guess I'm becoming one too. \u00a0We got there right at noon and got a table for 5 immediately. \u00a0When we left they were taking names. \u00a0There is a nice outdoor area that was packed when we left, but it was cool today so we sat inside. \u00a0Nice layout, nice ambiance. \u00a0It does seem a little out of place at the end of a small strip mall and across from Burger King, but once you get inside you forget about that (as long as you don't park in Burger King's lot and get your car towed - we didn't). \u00a0I had the Crispy Pork Belly Vermicelli and wow... that is some very tender, tasty pork belly. \u00a0I had to give everyone at the table a piece to taste since it was so amazing, but I wanted to keep it all for myself! \u00a0I added the fried egg too, because fried eggs make everything better. \u00a0Good choice for 50 cents. \u00a0The bowl was perfectly seasoned - I didn't add anything although they have soy sauce, plum sauce and Sriracha at the table, and my husband asked for fish sauce too. \u00a0He had the Shakin Beef Cheeks Vermicelli and was pleased, although he did doctor his up a bit. \u00a0Another guest had Beef Pho and she seemed equally pleased. \u00a0Condensed milk cake for dessert - great presentation with ice cream, some sweet crumbles and baked meringue. \u00a0 Everything was very tasty.This is the kind of place that my husband and I will put on our repeat list so we can try everything! \u00a0We need to go for dinner so we can try the cocktails. \u00a0Four stars because the service was a tad slow. \u00a0Took a while for the food to come out, and my water glass was empty for most of my meal, even though there seemed to be plenty of servers walking around refilling drinks (until I noticed mine was empty)... \u00a0Maybe they're still adjusting, or maybe it was a bigger lunch crowd than expected. \u00a0I'm forgiving and that will not affect my desire to return. \u00a0We will definitely be back and I see no reason that it won't be on our short list of favorites.", "Date": "2014-01-18", "Author_Location": "Metairie, LA"}, {"Author": "Nut G.", "ReviewID": "oVFTLIsm9GouISFjrRJ45w", "Overall": "2.0", "Content": "This restaurant will not survive on the strength of its \"pho\". There are far to many superior alternatives in NOLA.Both the \"fowl\" and pork broths lack the depth of flavor one expects from pho. They are just basic broths, not slowly cooked, judging from the flavor. The concept is good, its just that they pale next to their competition. Like the Pho, the springs rolls are a good concept that is poorly executed. The little details are missed. The vegetation is cut too thick, making it a distraction. The rolls are rolled poorly, very loose, making them hard to handle. The peanut sauce is excellent, but that should not be the best thing about the rolls.Many of the other menu items are intriguing, but with their name they will be judged by their Pho. Mopho doesn't approach the top ten places to get Pho in NOLA. Its not a bad place, it just doesn't reach the bar.", "Date": "2014-01-24", "Author_Location": "New Orleans, LA"}, {"Author": "Mallory M.", "ReviewID": "kmjwHoJJVYyy4cEgXLnO3A", "Overall": "2.0", "Content": "You can't name a place something as fun as mopho and have such a fancy/hard to decipher menu. Didn't like the pho at all. had too many weird flavors (or not enough flavor) in other dishes. The chicken wings were good but I didn't go there to eat chicken wings. our waiter was really good. I'm glad we tried it but doubt I'll be back. And don't get me started on the parking situation.", "Date": "2014-02-02", "Author_Location": "New Orleans, LA"}, {"Author": "Mia G.", "ReviewID": "vcJrr7jFPHCV0qpABYtubA", "Overall": "3.0", "Content": "Heed the description in regards to this place being Asian fusion; in many cases delightfully, sometimes to the point of being contrite....I mean, There are things that just don't need fiddling with, an pho is one of them. Spaghetti DOES NOT belong in it EVER!Cozy comfortable decor, friendly service.", "Date": "2014-01-17", "Author_Location": "New Orleans, LA"}, {"Author": "Chad A.", "ReviewID": "_pPEe4VeaN6Gl-isOvR3YA", "Overall": "5.0", "Content": "You had me at booze infused bubble tea and it just got even better from there.Eat here once and you'll be coming back for more. \u00a0From staff, to design, to food this place get 5 stars. \u00a0If you are a consumer who enjoys getting quality locally sourced food Mopho will become a staple for your nights out. The staff is great, friendly, and knowledgeable about the food. \u00a0With a rotating menu to keep fresh local ingredients on the menu I can't get enough. \u00a0And even though it makes me feel old to admit I can't speak highly enough about the sound absorption in the restaurant. \u00a0Even on a crowded night with a full bar and a 20 minutes wait for a table my wife and I were able to talk to each other without screaming. \u00a0The manager said they searched for specific sound panels which are mounted on the ceiling. Go give this place a try and you'll be hooked.", "Date": "2014-04-20", "Author_Location": "New Orleans, LA"}, {"Author": "Kris A.", "ReviewID": "XAw8WhtCOFlTX8FpmTLf0Q", "Overall": "4.0", "Content": "This place has everything going for it and they are doing everything right! \u00a0A+ all around for service, food, atmosphere, and price. \u00a0My partner and I ate lunch here on a busy Friday. \u00a0We were greeted at the door with a smile, seated promptly, and received quick and friendly service. \u00a0The atmosphere is relaxed, comfortable, modern and inviting. \u00a0Parking can be a bit of a fuss due to the high traffic area and the prolific \"Parking for Burger King only\" signs, but they have some extra parking in the back.We started with the pork spring rolls which were two generous portions stuffed to the max with ultra fresh, crispy veggies and dense, smokey pork. \u00a0An excellent sign of things to come!Next, I ordered the beef pho with flank steak, duck sausage, and duck confit. \u00a0The broth was rich, complex and full flavored. \u00a0Chef is obviously making everything from scratch. \u00a0This broth was not like 90% of places that pour it out of a cartoon. \u00a0You can tell that time and passion were put into the broth. \u00a0And of course when making a soup, like any well assembled thing, foundation is everything. \u00a0Complimented by the high quality meats, it was perhaps the best pho I have ever eaten; authentic Asian or NOLA fusion aside. My partner ordered the pork pho with pork roast, meat balls, and mushrooms. \u00a0It too had an amazing broth full of complexity, taste, and richness. \u00a0It was just as good as the beef and uniquely varied in taste and tone.We finished our meal with the condensed milk cake and chicory gelato. \u00a0The cake had a nice density due to some added cornmeal I believe. \u00a0And the miniature lemon meringues were a nice touch.Throughout our meal we had wonderful, attentive, knowledgeable, and speedy service that was not too intrusive.We both loved the place and we will add Mopho to our list of new favorites. \u00a0Go try it and you will not be disappointed.", "Date": "2014-02-14", "Author_Location": "Orleans, LA"}, {"Author": "Felicia H.", "ReviewID": "HgbIoc7d7GDVchNdFdgR-Q", "Overall": "3.0", "Content": "Absolutely packed on a Friday night. Hour+ wait for a table for three. They have a gorgeous bar that people can dine at, BUT there wasn't a good place for those who were just waiting around to order a drink. I waited a good 20 minutes before I could get my first drink! (We can blame it on my 5'0\" frame, the bartender probably couldn't see me?)Chicken wings were awesome, definitely worth getting. \u00a0I thought the mix and match option for pho was interesting and cool. My beef pho with flank, pork belly and cripsy shallots was fine. Great presentation but lacking in robust flavor. Staff was courteous and professional. I just wasn't wowed by the food, it really was a three-star \"A-OK\" experience.", "Date": "2014-01-29", "Author_Location": "New Orleans, LA"}, {"Author": "Beth W.", "ReviewID": "sem5vjOYDsoTuQ-YHc6AtA", "Overall": "5.0", "Content": "Been several times in the past few weeks. \u00a0I've had one of almost every entree, multiple apps, and some pho and vermicelli bowls.My favorite entree is the clams. \u00a0Absolutely amazing! \u00a0I haven't had the poboys yet but intend to do that soon. \u00a0So happy and excited that this place is open!", "Date": "2014-02-10", "Author_Location": "New Orleans, LA"}, {"Author": "Rosalie H.", "ReviewID": "WwqolmOhpUrBO2ZNtFPqzQ", "Overall": "4.0", "Content": "New local restaurant. Nice ambiance with outdoor fire pit area. Enjoyed the wood burn smell while eating. Service was good. Waitress was knowledgable and nice. Never waited for drink. Food was very authentic East Asian food with a little Nola fusion. I think it may not be easy to stomach for those not use to authentic East Asian food. However, I found the pepper jelly clams and shrimp noodle bowl with pork pate delicious. Only areas for improvement would be to add small waiting area other than at bar. Either outside or just inside doors. I look forward to trying different dishes here.", "Date": "2014-02-14", "Author_Location": "Mid-City, New Orleans, LA"}, {"Author": "Indra O.", "ReviewID": "45oiV5W_NuzPodOj3nhBBg", "Overall": "5.0", "Content": "The menu is exceptional with so many delicious things I'd like to try. The culinary masterminds that put this together are are not just hype, like previous reviewers commented. I strongly disagree! We kept it simple this visit, Shrimp Spring Rolls, A Duck Poboy to split and Pho for each of us. There were so many delicious and complex flavor combinations that the chefs created for each dish. The peanut sauce for the spring rolls was was creamy sweet and savory with just the right kick! \u00a0The Duck... AMAZING! Melted, cooked and flavored perfectly! And their Pho concept is great! Choose a type of broth, and add what ever types of meats/veggies you want! I chose the beef broth with oxtail, duck confit and oyster mushrooms. I was blown away! Needless to say, I will be back to try every other flavor combination possible! Thank You MoPho!", "Date": "2014-02-12", "Author_Location": "New Orleans, LA"}, {"Author": "Warren H.", "ReviewID": "AoptZ6pVxdrfzrBFIR4wmQ", "Overall": "1.0", "Content": "Warren H. Very disappointing. Decent appetizers, although wings had clearly been frozen and had a poor texture. Duck poboy was tasty but nothing to make this a destination place, especially considering the price. Places in town have Banh Mi for $3-6 that smoke this place. My wife's pork belly rice bowl had absolutely no flavor. No idea what all the hype is about. Will likely NOT be back. Go to Pho Orchid or take the drive out East to Dong Phoung.", "Date": "2014-04-05", "Author_Location": "Metairie, LA"}, {"Author": "Jay D.", "ReviewID": "WNYTCfNxzAjwSnk-GEJ-KA", "Overall": "2.0", "Content": "Pho me once, shame on you; pho me twice, shame on me.(Apologies for adding to the world's oversupply of bad pho puns. But after a second subpar meal at MoPho, the above line seemed completely appropriate.)Our first meal at MoPho was about a week after it opened, and was completely underwhelming - probably inevitable given the massive amount of preopening hype this place received (EaterNOLA was giving it two or three breathlessly enthusiastic posts a week for months), but disappointing nonetheless given the chef's pedigree and the open, appealing space in an otherwise nondescript strip mall near City Park. The appetizers we ordered were completely forgettable, and I mean that literally; I cannot for the life of me remember what we ate. But I do remember how lukewarm and stingily portioned the pho was: despite some creative and potentially tasty add-ins like grilled mustard greens and roasted tofu, it didn't come anywhere near the quality and flavor of the pho served up in any number of joints on the West Bank, and was overpriced by at least a third given the smallish portion. And there's really no excuse for serving pho at room temperature, especially during a lunch hour when the restaurant was barely half full. I chalked it up to a kitchen still finding its bearings and resolved to give it another try.After a second lunch at MoPho, I'm now sure I won't be coming back. Dishes were once again consistently served at the wrong temperature. A tangle of watery jicama salad was unpleasantly warm. A $13 grilled shrimp noodle bowl featured warm, overcooked noodles swimming in a puddle of watery dressing with four puny, overcooked shrimp strewn on top - a far cry from the bright, fresh, and cool noodle salads served at places like Tan Dinh or Pho Tau Bay. A $14 oyster po-boy was decent, if somewhat on the mushy side (and again, overpriced for the portion size). Even the much-vaunted alcoholic bubble teas were a disappointment - more like spiked fruit smoothies (not necessarily a bad thing, but nothing special either.)The service is friendly, and as mentioned the space is comfortable and bright - I can see the back patio becoming a great place to hang out as the weather gets warmer. And the restaurant's commitment to seasonal ingredients and small/local purveyors is commendable (artisanal soy sauce on the table, anyone?) You really get the sense that these folks are trying hard - maybe a little too hard. But the food still isn't very good.In a city that's fortunate enough to have some of the best Vietnamese food in the country close at hand, a restaurant that attempts a creative spin on classic dishes like pho and banh mi really needs to step up its game in order to stand out. Alas, and despite its apparent efforts, MoPho is not that place. Sure, heading to the West Bank for my Vietnamese food fix means spending more time to get there and more money on gas - but given the mediocre eats and high prices at MoPho, I figure I'll still come out ahead.", "Date": "2014-03-15", "Author_Location": "New York, NY"}, {"Author": "Lauren L.", "ReviewID": "v1shDQ7y3gHsAxa0RhsOtA", "Overall": "4.0", "Content": "Had a fantastic lunch here. I'm not 100% sold on Vietnamese food (although I feel I eat it a lot), so I was interested to see MoPho's take on it. I do have to say I was impressed. I ate so much my hands were cramping from using the chopsticks!We started with the Jicama and Asian Pear Salad. It was fresh and delightful. For entrees we had the shakin bourbon beef cheeks & grilled jumbo shrimp (both over popcorn rice). Mine was the shrimp- I loved it! Fantastic flavor. I also tried the beef cheeks- also delicious. And being that I am big on service in restaurants, I must add that our waitress was great and very upbeat. I will definitely be returning.", "Date": "2014-04-01", "Author_Location": "New Orleans, LA"}, {"Author": "Brent L.", "ReviewID": "KPpQySYIoDuzYAFlwOI0CQ", "Overall": "4.0", "Content": "Garage door open on a beautiful Friday, skipping the delicious chicken wings for lent, but the grilled shrimp noodle bowl with a fried egg was full of flavor and perfect for lunch.", "Date": "2014-04-11", "Author_Location": "Metairie, LA"}, {"Author": "Julia E.", "ReviewID": "9GWdGZ_yJANrTSk0r__1rg", "Overall": "2.0", "Content": "Chicken wings good but I've been thirsty all night since then so either a lot of sodium or msg. Eggs rolls ok. Duck po boy very disappointing, more weird picked veggies than duck and it had mint leaves, yuck. Don't go there unless you love Vietnamese food. My dinner partner, on the other hand, loved the bubble tea. She had chefs tasting menu. The waiter didn't tell us we could have just ordered the courses she wanted.", "Date": "2014-06-08", "Author_Location": "Metairie, LA"}, {"Author": "Chris D.", "ReviewID": "SzA_o_xKkGHDgb8KRURvgw", "Overall": "2.0", "Content": "I think 2.5 stars would be more appropriate. \u00a0I had the veggie Pho. \u00a0this was kind of a mistake on my part in that what I wanted was the regular beef broth but with Tofu in it like vietnamese places do. Actually what they do is ask which you want But either way i did not think it was special. \u00a0Also you did not get a lot of the mint and sprouts, just enough. the other plate we got was shrimp over rice. \u00a0the shrimp were good, there were 4 of them, good size. \u00a0But other than that not a lot of rice or veggies with it. \u00a0For $14 thought it was a bit over pricedThis is a nice place with nice staff and great location near city park. \u00a0the other selections on the menu are pretty pricey but they might be really good", "Date": "2014-03-07", "Author_Location": "New Orleans, LA"}, {"Author": "Sam L.", "ReviewID": "YxuOLg7tQQRnhDAU9e8szw", "Overall": "2.0", "Content": "New restaurant that needs some more refining. The cheek with vermicelli did not have enough acid and noodles were overcooked. The cheeks themselves were not seasoned enough and undercooked. It was very bland. The jicama salad portion was very small and shrimp overcooked. The pork spring rolls and fried oyster were good but not overwhelming. Place needs more consistency for food quality and preparation as some members of the party said it was much better last time.", "Date": "2014-03-15", "Author_Location": "Franklin, TN"}, {"Author": "Jessica S.", "ReviewID": "Ev8XURCXMcvYAZuJbVR1Zw", "Overall": "5.0", "Content": "I'm now a Mopho regular and I've never been disappointed! Quite the opposite actually, always super surprised and impressed with the adventurous menu that delivers in a big way! Best vegetarian pho I've ever had (also have amazing choices for meat eaters too) and I was amazed by the whole fried fish! Really can't rave about that dish enough!!! The indoor setting far surpasses the strip mall parking lot it dwells in, so don't let that minute detail deter you. This is my new favorite neighborhood restaurant and it soon will be yours. See you at the classy bar over a glass of red ;)", "Date": "2014-03-20", "Author_Location": "New Orleans, LA"}, {"Author": "Diana S.", "ReviewID": "N8TZuyxK-VA7-g26Y5NPNw", "Overall": "3.0", "Content": "Good lunch spot - we enjoyed sitting out back and the service was more then adequate. \u00a0Very responsive and timely. \u00a0My husband had the sausage poboy and started with the intention of only eating half - FAIL - He finished it! \u00a0I had the Asian pear and jicama salad - it was very tasty, and I'll have it again. \u00a0We shared the spring rolls between three of us and they were very good - especially the peanut dipping sauce - they were the largest spring rolls I've ever seen. \u00a0Also enjoyed the jasmine tea - and refills were plentiful - we'll be back!", "Date": "2014-04-02", "Author_Location": "New Orleans, LA"}, {"Author": "Jonathan H.", "ReviewID": "HAA0dF5du0dhx_uP049lEg", "Overall": "2.0", "Content": "We ate here today for lunch -- got the Oyster Po-Boy as well as the Shrimp and 'country ham' po-boy. I am a big believer that in New Orleans, if you are going to try and do 'fusion' with a po-boy, then it should be at least as good as a what you are riffing off of. Here's my take on the fairly lame attempt to update the po-boy: 1. Shrimp and country ham -- it is really a baked ham po-boy with good fresh Daikon and carrots -- country ham is not baked and you need to really change the menu to reflect this. \u00a0-- The shrimp are the after thought -- 5 fried shrimp in total for a $11 po-boy -- c'mon folks.. \u00a0more than $2 per shrimp.? \u00a0 (I'd head straight over to Parkway or Crabbie Jacks where you will get 5x the shrimp for the price 2. Oyster Po-boy -- $14 -- again 5 oysters on the po-boy - the sandwich was fine -- the blue cheese chili sauce was good \u00a0(a bit worried so got it on the side. Overall-- for two small po-boys and one beer -- $35.00 -- if they were even slightly larger I wouldn't be inclined to write -- but c'mon guys -- you are only 3 months old -- you've got to impress us!! p.s to management -- please change the the ham po-boy to BAKED ham, cause there was nothing country ham about it.", "Date": "2014-04-13", "Author_Location": "Winters, CA"}, {"Author": "Cedrick J.", "ReviewID": "9gUr6aEjxAdJoLNXJt3UMQ", "Overall": "1.0", "Content": "Was soooo excited to try this new place close to where we live but I was disappointed when we had our food. I think their chicken wings were delicious and for 10 dollars for chicken wings is a bit expensive. I had the crispy pork belly vermicelli noodle but there was NO SAUCE like something acidic or fish sauce in my noodle which makes it bland and my partner had the Beef Pho which was sweet and lacking a star anise flavor and spice and why would you use a spaghetti like noodle on your pho rather than the real thing. I appreciate that they're adding a different twist to their food but for their higher prices I think meh. I'd rather go to Namese on Mid City or any Authentic Vietnamese restaurant where you get huge portions and better flavor for a better price.", "Date": "2014-02-25", "Author_Location": "New Orleans, LA"}, {"Author": "Kyle C.", "ReviewID": "-f1DA6wjZTN8hxlbsv5eqg", "Overall": "5.0", "Content": "Great grub. I'm a frequent visitor to N.O. & I'm a food fanatic. \u00a0My fiance & I loved the crispy chicken wings. She has a bit of a cold & wanted something to clear out her sinuses & the fowl broth pho w/ duck sausage & pork belly w/ a dash of sriracha did the trick. I hammered the clams & don't have a single bad thing to say about the trip. Thanks to the staff!", "Date": "2014-03-15", "Author_Location": "Ruston, LA"}, {"Author": "Anna T.", "ReviewID": "27iQqGlYt0ITxNPlvIh_UA", "Overall": "2.0", "Content": "My friend and I went here for lunch and we had the crispy chicken wings for the appetizer. \u00a0The chicken wing was a disappointment because the brown or black sauce was so so thick that it made the wings taste like we drank a bottle of hoisin sauce straight. Couldn't taste the crispiness of the chicken at all. \u00a0On to the entrees, the pho was soo bland like there's no taste in the broth which I was sad cause I was really cold from the weather. \u00a0Then we had the rice and shakin beef which was horrible also. \u00a0Ugh, I felt so bad because I took a bite of it and didn't touch it after. \u00a0The rice was soooo wet with like a coconut flavor drench in my rice. \u00a0It was horrible and the mixture of my beef didn't help because the sauce was almost the same as my chicken wings. \u00a0The only thing that I really ate was the dessert and the manager/owner was really nice but food wise I didn't like it much.", "Date": "2014-02-07", "Author_Location": "Metairie, LA"}, {"Author": "Mindy Sue M.", "ReviewID": "VBubiDk1cPPE8hPNw0MFPg", "Overall": "5.0", "Content": "Every-every-everything we tried was so delicious! Sweet potato beignets!!!!! -- Omg omg like heaven! A drink called \"the dragon lady\" light and fruity, another drink called \"the viper\" with a ginger vodka that was so refreshingly pleasant and another drink called the vermillion that was a sparkling papaya delight. We tried the wings which we considered getting a second order just to take with us for a snack later, the sauce was finger licking good. We had the best fried oysters I've ever tasted with a sort of spicy/bleu special MoPho sauce and cooked just perfectly. Everything we tried was so tender and of course the Pho was delicious as well. What a great place to have some exciting cocktails with friends while trying a little off of everyone's plate making for a great time! Can't wait to go back when I'm in the area again.", "Date": "2014-01-30", "Author_Location": "Metairie, LA"}, {"Author": "Jennifer W.", "ReviewID": "mniVcGnWFqtgBX8_danx_g", "Overall": "2.0", "Content": "I have eaten a lot of asian food and asian fusion. \u00a0The food was okay, just wasn't asian inspired. \u00a0The rice wasn't asian rice - the pho broth wasn't that tasty mouth watering broth that you get in pho restaurants. \u00a0The service was very slow. \u00a0Even if busy, why would it take 15 minutes for someone at the bar to say hi and that they will come back and take our order. Same at the table-- i guess i just expected more with the write ups and backgrounds of the front of house and back of house staff. \u00a0Looking for Pho go to the west bank or Magazine.", "Date": "2014-01-20", "Author_Location": "New York, NY"}, {"Author": "Bryan S.", "ReviewID": "8JryY7PqSXnW9sbvcIvM8Q", "Overall": "5.0", "Content": "So far everything I have had at MOPHO has been outstanding! \u00a0The spring rolls are great and their baked fish was serviced with class! \u00a0A wonderful addition to the MidCity Area and well worth the visit!", "Date": "2014-05-06", "Author_Location": "New Orleans, LA"}, {"Author": "Rob G.", "ReviewID": "ysccrEv50zY3w2BtflIplw", "Overall": "5.0", "Content": "So many great things on the menu. I'll start with appetizers, the P and J oysters are spectacular, I have never had oysters with blue cheese before, the combination is amazing. The chicken wings are a close second( gluten free btw ).For entrees the must tries are the lamb neck , clams, and rice cake( must ad uni!) also offered is pho which you can build many combinations as you pick one of four broths and select from several different protein and vegetable options. If your in the mood for a po boy, the duck and oyster is a tie. There's many more things on the menu worth trying. Check it out!", "Date": "2014-02-27", "Author_Location": "New Orleans, LA"}, {"Author": "Laila B.", "ReviewID": "BGcBDPpB18RTpYqyoP_yXw", "Overall": "3.0", "Content": "Sigh. I've been twice and both times I was not overly impressed. The first time we went, we ordered the crispy wings. They were not crisp at all, although the flavor was really good. I also had the worst pho I've ever had. The broth (beef, with oxtail and tendon) was murky and tasteless, like they used no star anise or other aromatics. The second time we went was better. I had the much hyped pepper jelly clams. The clams were really fresh-tasting and the broth was delicious. But I would have loved to sop it up with some bread, instead I got some stick-shaped beignets that were awfully sweet and not a good vessel at all to absorb that beautiful broth. My companions had poboys, which they enjoyed. I'll likely keep trying but so far, it hasn't lived up to my expectations. Staff is really nice, the space is beautiful. I'm looking forward to checking out their happy hour and the patio in nice weather.", "Date": "2014-03-21", "Author_Location": "New Orleans, LA"}, {"Author": "Brandon H.", "ReviewID": "2fkzc7OyW83ZUmiqicVbsg", "Overall": "1.0", "Content": "I am a long time user of this site, and have never felt the need to leave reviews. That being said, I felt an actual obligation to leave one for this place.Went here with my wife on Wednesday evening. Walked in, and the smell of rotting seafood hit us both in the face. We turned around (almost as quickly as our stomachs had turned) and walked out without even looking at the menu.My \"stars\" rating is not based on the food at this restaurant seeing as I never ate here. It is, however, based my desire to return.", "Date": "2014-01-24", "Author_Location": "New Orleans, LA"}, {"Author": "Stephanie S.", "ReviewID": "ywsdDId5Pw9pVEeIg8KWNQ", "Overall": "5.0", "Content": "Duck po-boy (really bahn mi) for $8? Yes please. \u00a0So tasty...Still dreaming about it four days later. Craft cocktails get the thumbs up, too. Can't wait to go back and try more things!", "Date": "2014-01-19", "Author_Location": "New Orleans, LA"}, {"Author": "Jeffrey D.", "ReviewID": "DWZHHiKvtCCNzqIeRCGg5Q", "Overall": "5.0", "Content": "Great food. Oyster app was very intriguing. Pho was inventive and delicious. Crab noodle bowl was very tasty. Will definitely be back.", "Date": "2014-02-06", "Author_Location": "Cutler Bay, FL"}, {"Author": "Peter D.", "ReviewID": "Mxvof7uaqX2ExZRVxzz4FQ", "Overall": "2.0", "Content": "This place have a good decor and outside sitting area too. I was eating here with some friends. For appetizer we had the good tasting banh xeo battered shrimp (which came out after my pho). I had the Pho Beef broth with Flank and Rib-eye as an entree the broth did not have a pho taste was too sweet i could not taste \"beef\" lol and the noodles was vermicelli not the pho noodles.", "Date": "2014-01-27", "Author_Location": "Metairie, LA"}, {"Author": "Arwen P.", "ReviewID": "34ltNiz30pvSE_t-Y6FrCg", "Overall": "4.0", "Content": "MOPHO- We've been waiting for you!Good mixed drinks, good wine/beer list. We dined at the bar, with good friendly service. They have the best chicken wings ever- great sauce, great marinade. And the clam entree was amazing, with a divine sauce. The spring rolls were fine, but not at the top of their game- peanut sauce was bland compared to the flavor bombs of the other dishes. To finish we had an amazing condensed milk dessert. Hope no one sensitive to caffeine has this- they put crumbled chocolate covered espresso beans on it. (so good).", "Date": "2014-02-09", "Author_Location": "New Orleans, LA"}, {"Author": "Rebecca B.", "ReviewID": "tC8GwVIrWTuq0KlB8wl0TA", "Overall": "5.0", "Content": "Great food, great drinks. \u00a0Great owners! Clams are a must! Everything is delicious. \u00a0Love the place. \u00a0Wonderful addition to Mid-City.", "Date": "2014-02-07", "Author_Location": "New Orleans, LA"}, {"Author": "John C.", "ReviewID": "h8XxCoQD5BTGL6qP--4b2Q", "Overall": "4.0", "Content": "This is not your traditional Vietnamese cuisine, The food was good tho. \u00a0We had the curry crispy battered shrimp and lemongrass chicken wings with ginger for appetizers. Soo GOOD! Then my husband had the pork pho which was flavorful and I had the crispy pork belly with vermicelli noodle which was delicious as well although I must say that it lacks a little bit of kick like traditional noodle salad like fish sauce maybe or something. \u00a0I'm Filipino so I know if a pork belly is good or not coz we cook a lot of different varieties of pork belly dishes back home and MoPho did a good job with it. Can't wait to be back again and it's close to where I live which makes it even more amazing. Kudos to the owners for bringing delicious Asian fusion food in Mid City and Lakeview. =)", "Date": "2014-01-20", "Author_Location": "New Orleans, LA"}, {"Author": "Martha S.", "ReviewID": "AnnLODnMVHGNJj2nFgYG1Q", "Overall": "5.0", "Content": "Fantastic menu, great service, intriguing house drinks. \u00a0Had the whole fish & housemade rice krispy dessert-whoa. The whole package in an out-of-the-way spot. \u00a0Do NOT miss.", "Date": "2014-04-29", "Author_Location": "Asheville, NC"}, {"Author": "Jelly R.", "ReviewID": "aq5CdO9dIR_1GkTauAPyfg", "Overall": "5.0", "Content": "Simply one of the best meals we have had in the last few months --- and we dine out often. \u00a0We four shared eight dishes and each was magical, creative and delicious. \u00a0We are delighted that Michael Gulotta has moved on from Restaurant August and is creating such inspired and flavorful menu. \u00a0Jelly Roll", "Date": "2014-02-06", "Author_Location": "New Orleans, LA"}, {"Author": "Ashley D.", "ReviewID": "1crFaX5Ks1HEGfi0kuLDnA", "Overall": "5.0", "Content": "Everything about this place was great! The wings are outstanding, the beef pho was delicious, and the crispy pork belly vermicelli dish was to die for. My husband is not a huge fan of Vietnamese food but the menu here has something for everybody and he was totally won over by it. I love how laid back the vibe is and our server's recommendations were right on point. And they have Cane Break on tap. I live in the Gentilly/Lake Vista area so it's really great to have a vietnamese type restaurant nearby so I can get my pho-fix whenever I want. I highly recommend it!", "Date": "2014-01-24", "Author_Location": "New Orleans, LA"}, {"Author": "John G.", "ReviewID": "b_RFCHqIwupn6pomhwFQ1w", "Overall": "5.0", "Content": "Amazing food and service! When we sat, we explained the food allergies to our server, Marieke. She said (politely) that they were not going to be able to serve us as their food contains the allergens. One of the partners stopped us from walking out and said they would create dishes just for us. What came out from the kitchen was some of the best food we've eaten in New Orleans. The pork spring roll was the best spring roll I've ever had. The grazed beef ribs melted in my mouth with the perfect meat to fat ratio. The beef pho, chefs special concoction, and mopho wings were all top notch! Dessert was an amazing chocolate pudding with a hint of sesame and small finger banana. \u00a0This is a must eat place. Truly worthy of 5 stars! Oh 1 downside. Don't park at the Burger King next door. He was out there having cars towed for people that weren't eating his food. (Jealous much?)", "Date": "2014-01-18", "Author_Location": "Slidell, LA"}, {"Author": "Adrianne F.", "ReviewID": "8cm-eN76Nahwko8ikw69EQ", "Overall": "5.0", "Content": "Love the pho. Can't beat the combination of ribeye, grilled mustards, and mushrooms!", "Date": "2014-04-16", "Author_Location": "New Orleans, LA"}, {"Author": "Savannah B.", "ReviewID": "0DLKox_k7XlzJ6adxj-ZYg", "Overall": "5.0", "Content": "Seriously, went in not expecting much but boy was I surprised. This place is awesome. Those chicken wings were perfect in my eyes. Quick service, great bar drinks, & food is amazing.", "Date": "2014-02-19", "Author_Location": "Marrero, LA"}, {"Author": "John N.", "ReviewID": "CxBn6d_87wI-BOV66fOjYQ", "Overall": "3.0", "Content": "First off, if you're looking for authentic vietnamese this isn't the place for you. This is their take on Asian/Vietnamese food. This review is solely on the food. Our first time here so we tried a little of everything. We started with the Pepper Jelly Braised Cedar Key Clams. Good flavor to it and the beignets went really well with the sauce. The Crispy Chicken Wings lacked some salt and had a slightly burned taste. The Pork Shoulder Spring Rolls tasted great but the wrap was loose and didn't hold well. The Crispy Fried Oysters were probably my favorite...great sauce and nice crispy oysters. Next up was the Crispy Pork Belly with Popcorn Rice. Rice was cooked with too much water and tasted mushy. Pork belly had good flavor but the pork sausage was lacking in flavor. The pork spring roll that was added wasn't really good but the oranges added a nice sweet note to the overall flavors in the bowl. Last thing I had was the Glazed Pork Seven Steak poboy. Could've used a little more pickled vegetables but tasted really good. Nice crunch with the bread and really good flavor in the pork. I liked this better than the pork belly bowl. Also all of our orders came out a little slow so we spent a good bit of lunch getting full off of our drinks. Granted this restaurant is still newly opened so they're still working out the kinks. A lot of potential here.", "Date": "2014-01-27", "Author_Location": "Long Beach, CA"}, {"Author": "Estelle L.", "ReviewID": "lLYdovtNVKwXs8tHzKgixQ", "Overall": "5.0", "Content": "Wait--I think I actually LOVE Mopho. We waited to try it out until Mopho worked out their routine. We had actually taken them off of our list because we got some ehh reviews. What brought us in was an appetizer we had at Drafts for Crafts at the museum, which was their blue cheese and some sort of chipotle mayo with a perfectly fried oyster. Obviously that was SOOOO GOOD that we just had to go to Mopho immediately after on the following night. We started with the chicken wings and shrimp and pork spring rolls. The chicken wings are to die for and are fun and messy, perfectly crispy, and tossed in a sauce I wanted to bathe in. The spring rolls are probably the best I've had at a restaurant, they're perfectly wrapped and filled with a delicious fresh combo of veggies, paired with a nice thick peanut sauce. After that we ordered our entrees. I got the tofu and cauliflower rice bowl with a fried egg and it was exactly what I wanted. It was light and filling at the same time and the tofu was crunchy without being dry. I definitely will have a hard time trying anything else because it was so good that I want to order it again and again. My dad got the oyster poboy (a take on Bahn mi) but did not share a single bite because he wasn't willing to part with it. That's a lot for a man who has never really liked Vietnamese food! My mom got the duck poboy. It was amazing, and delicious, and the (rice?) chips that they're served with was a refreshing take on basic chips. While I wish we could have gotten desert, we were honestly too stuffed...but I'll be coming back for something that our waiter mentioned there was house made black sesame ice cream in... However, this was probably because we started with drinks. I ordered the Guns-and-Roses + Mezcal boba tea, which was the most satisfying drink I've had at a restaurant recently. Who doesn't love boba tea, ESPECIALLY when there's alcohol added to it. I can't wait to come back and try the other flavors. I honestly see myself coming back to Mopho a million times. Easily one of my favorite spots in the city now.", "Date": "2014-03-23", "Author_Location": "Lakeshore / Lake Vista, New Orleans, LA"}, {"Author": "heather t.", "ReviewID": "i3inMZ0JtN3M1nY0SZaIWQ", "Overall": "2.0", "Content": "The tofu and cauliflower on rice was delicious but tiny - 4 pieces of cauliflower and a dozen tofu chunks. The shrimp and ham po boy had Chinese shrimp in a strange batter and was on bahn mi bread - not worth $13 by any stretch of the imagination!", "Date": "2014-03-09", "Author_Location": "New Orleans, LA"}, {"Author": "Tanya D.", "ReviewID": "Tzei65-ASfCaSXhuMgo0yA", "Overall": "4.0", "Content": "I'm not that in to Vietnamese and cannot judge with knowledge on the quality of pho, etc. However, my bowl of vegetarian pho was pretty darn tasty today! A coworker went over the weekend and liked it a lot so I was game to go with her, and two other coworkers, for lunch today. \u00a0We got there at 11:30 and had no problem getting a table. At 12:30 when we left it was packed with a queue. They are brand new and service was a little slow. I won't hold that against them now since the kinks are getting sorted out and it wasn't an outrageously long wait for our food. I thought the pricing was a bit wonky. Some things seem super cheap, like I would have paid a dollar more for my pho gladly, and some seemed kinda pricey, like $15 for a bowl of sweet potatoes? Granted those sweet potatoes were cooked with coconut milk and roasted Brussels sprouts and looked totally yummy and I will order it next time for sure. I don't have the kind of relationship with my coworker that I could ask for a taste but she sure enjoyed it. The other two got vermicelli bowls with meats. They liked it. I got veggie pho with grilled tofu, grilled mustard greens and crispy shallots. The broth was rich for a vegetarian broth. Just enough anise but not too much. Not greasy at all. I liked it a lot and was quite full. For $7 who could ask for more? Next time I will try a tofu poboy which I'm guessing will be ban mi style. This is a good place for vegans, although the table next to you will be eating beef cheeks and chicken feet.", "Date": "2014-01-22", "Author_Location": "Covington, LA"}, {"Author": "Joe L.", "ReviewID": "qTJemlkAS7ZRbTMgV2MqMg", "Overall": "5.0", "Content": "I was able to make the soft opening as well as the two following days after. This place could be addicting. I went twice with a couple of friends and we ordered several dishes and shared. The food and presentation was awesome. I wondered about the head cheese in the Pho but it was a winner as well. The wings were the best I have ever eaten. They are an absolute must try. The atmosphere is casual which I prefer for most outings. The table layout is very nice and not crowded. Yesterday the weather was nice and they had the overhead doors open to the deck. There was allot of thought that went into the construction of this building. The service is much better than I expected for a place opening up for the first week. Obviously they took the time to train the servers on the food before they opened. \u00a0I wondered about limited parking but one of the owners told me they have a fenced in lot in the rear of the building with 30 parking spaces. BTW, Do Not park in burger kings lot. I know they tow there because one of my friends got his car towed while we were grabbing lunch at subway one day. It appears to be one lot but it is not. I had to go 5 stars on this one, and if I could do 6 I would have. Enjoy!", "Date": "2014-01-12", "Author_Location": "New Orleans, LA"}, {"Author": "Katherine L.", "ReviewID": "TJZMc1T2dnKjBPqTrg1WRw", "Overall": "2.0", "Content": "If you are craving traditional Vietnamese, this is not the place for you. My boyfriend and I are regular Vietnamese eaters, and can truly value good Vietnamese. We were expecting to get a little bit of both Vietnamese with Nola fusion, but we only got \"Nola\". I was told that this place had the best Bahn Mi and while it was delicious, it was basically just a Shrimp Po-Boy with vegetables and pork p\u00e2t\u00e9. My boyfriend ordered the Pork Belly rice bowl and was disappointed that the Vietnamese flavors were absent. The pork spring roll had caraway seeds, wish was literally all you could taste. As an avid Vietnamese fan, I decided to try their Boba Tea. I ordered the Beachbum which has coconut cream, pineapple, and lime, and all I could taste was pineapple. Not to mention I saw my waitress taste the drink (not from my glass - just to clear that up!), which leads me to believe they had no idea what they were doing. I did enjoy my food, but was just disappointed in the fact that I was excepting more Vietnamese flavors. Other then that, the atmosphere was very cool. Try it out, you may have a completely different experience then I did.", "Date": "2014-02-22", "Author_Location": "Baton Rouge, LA"}, {"Author": "Katrina R.", "ReviewID": "gGkUv9INkni4fzpKAJB01Q", "Overall": "1.0", "Content": "Do not go here. I'm a huge fan of Vietnamese food, and I love seeing the prevalence of it on this side of the river... But the food at Mo'Pho was not very good, the portions very small, and the prices were too high. I got pho with duck sausage, and the sausage tasted like licorice. The spring rolls were $4 each and nothing special. The vermicelli bowls were tiny. And finally, the service was really pretty bad. Our waitress forgot us several times, and my pho came out lukewarm.", "Date": "2014-02-20", "Author_Location": "New Orleans, LA"}, {"Author": "Kat M.", "ReviewID": "g4aTtuUXAPOKKHgf8Y--IQ", "Overall": "5.0", "Content": "Exceptional!!!!Exactly what New Orleans needed. The drinks, the food and the staff are professionals with passion for their craft. To get a chef of this caliber to do noodle bowls - well...you know he has something to say. Drinks list and wine choices are inspired. Run, do not walk. It will be your favorite local....", "Date": "2014-02-13", "Author_Location": "Napa, CA"}, {"Author": "emilia e.", "ReviewID": "XCI8WG2NKQhMmV-RxIastA", "Overall": "5.0", "Content": "I'm loving the chicken wings, bubble drinks, ribs, po boys, fowl pho with duck and tofu, and rice bowl dishes. I've been there 3 times so far and plan to go again tomorrow!! It can be super casual and affordable, or you can go all out. Oh yeah I loved all the desserts and whole fried fish!!!!", "Date": "2014-02-06", "Author_Location": "Seattle, WA"}, {"Author": "Diane G.", "ReviewID": "IfICVg00S08gs97LSMzssw", "Overall": "5.0", "Content": "The food and d\u00e9cor both lived up to expectations; \u00a0In fact, the chicken wings and fried oysters exceeded them--they were great. \u00a0The fowl pho was delicious and surprisingly filling and the beef ribs tender and well flavored. \u00a0The poor boy was good though not as special as the other entrees. \u00a0Thanks to the other reviews we knew to get here early for lunch, so we got a table right away. \u00a0There was a line by the time we left. \u00a0The patio seating looked inviting. \u00a0Our waiter was helpful and attentive; he did make 2 mistakes on the check (so look it over before paying) but given the newness of the staff and busyness of the restaurant we weren't too upset. Look forward to returning to try other dishes.", "Date": "2014-01-19", "Author_Location": "Metairie, LA"}, {"Author": "Erin P.", "ReviewID": "hMYiVykYM_ZORtVG0VI3yA", "Overall": "4.0", "Content": "Mopho was way better than I expected. \u00a0The first thing that impressed me was the extensive and unusual selection of meats and vegetables that can be added to your pho. \u00a0You get to choose 3, and in addition to the typical flank and beef tendon, you can choose oxtail, duck sausage, shitake mushrooms, way too many delicious things to name. \u00a0After selecting my pho, I also chose an appetizer of flash fried P&J Oysters with bleu cheese, radish and chili sauce. \u00a0The oysters were huge, perfectly fried with crispy outside and juicy inside, and the sauce was well executed and not too gimmicky a la \"Buffalo wing,\" no it was more balanced and made sense with a depth of flavor and overall made for some delicious bites! \u00a0When I received my beef pho, I started to add the usual Sriracha but I stopped and tasted it first. \u00a0I'm glad I did! \u00a0The broth was delicious! \u00a0It did not need anything except of course the cold garnishes. \u00a0Yes that pho broth was a wonderful thing. \u00a0I would venture to say it was the best I've had. \u00a0The noodles were also perfect, not at all mushy even to the last bite. \u00a0The only negative I had the entire meal, was that the flank that day had a slight flavor of having gone \"off.\" \u00a0Being a Sunday I forgave it and ate it anyway-it was overall still great. \u00a0Oh, I should mention that I tried someone else's pork belly vermicelli. \u00a0The pork belly itself was dadgum awesome! \u00a0Even though it was a humble dish I would hold that pork belly up against that served in the 5 star fine dining establishments. \u00a0Which I guess brings me to my conclusion. \u00a0If you love the cutting edge ingredients/combinations that you get in trendy, upscale dining, but don't feel like dealing with the rest of the BS (having to make reservations, dress up, park, spend $150 etc) this place has the culinary delights you are looking for, in the medium of traditional vietnamese dishes. \u00a0And that to me is a WIN!", "Date": "2014-03-16", "Author_Location": "New Orleans, LA"}], "RestaurantInfo": {"RestaurantID": "5d_wrf9E8yMXywIJpznG2A", "Name": "Mopho", "Price": "$$", "RestaurantURL": "/biz/mopho-new-orleans", "Longitude": " -90.10525390505790", "Address": "514 City Park AveNew Orleans, LA 70119", "Latitude": " 29.983523890428899", "ImgURL": "//s3-media1.fl.yelpcdn.com/bphoto/ZEJFMOwpmoZpccr4st4caQ/90s.jpg"}} |
{"title":"0018_WA_Reform_School_For_Teens_-_Rachel.wmv","uid":7186176,"size":474637360,"categoryP":"porn","categoryS":"movie_clips","magnet":"?xt=urn:btih:a3d8aba6251b3d4c42145ed24e506096910aea40&dn=0018_WA_Reform_School_For_Teens_-_Rachel.wmv&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":"dodgerblue","files":1,"time":1334433527,"description":" <a href="http://i" rel="nofollow" target="_NEW">http://i</a> m g c h i l i.com/show/6612/6612692_0018_1.jpg","torrent":{"xt":"urn:btih:a3d8aba6251b3d4c42145ed24e506096910aea40","amp;dn":"0018_WA_Reform_School_For_Teens_-_Rachel.wmv","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":"a3d8aba6251b3d4c42145ed24e506096910aea40","infoHashBuffer":{"type":"Buffer","data":[163,216,171,166,37,27,61,76,66,20,94,210,78,80,96,150,145,10,234,64]},"announce":[],"urlList":[]}} |
{
"diet": "zawa:piscivore",
"kibble": "zawa:piscivore_kibble",
"litter_size": 1,
"enrichment": {
"items": [
],
"blocks": [
"zawa:sprinkler"
],
"entities": [
"zawa:boomer_ball"
]
},
"size": "giant",
"variant_count": 4
} |
[{"lineNumber": 37, "col_offset": 8, "nodeName": "list_text_no_lead_white", "type": "List[str]"}, {"lineNumber": 38, "col_offset": 8, "nodeName": "test_queue_no_white", "type": "queue.Queue[nothing]"}, {"lineNumber": 41, "col_offset": 12, "nodeName": "word", "type": "str"}, {"lineNumber": 41, "col_offset": 20, "nodeName": "list_text_no_lead_white", "type": "List[str]"}, {"lineNumber": 51, "col_offset": 8, "nodeName": "list_text_lead_white_regular", "type": "List[str]"}, {"lineNumber": 52, "col_offset": 8, "nodeName": "test_queue_regular", "type": "queue.Queue[nothing]"}, {"lineNumber": 55, "col_offset": 12, "nodeName": "word", "type": "str"}, {"lineNumber": 55, "col_offset": 20, "nodeName": "list_text_lead_white_regular", "type": "List[str]"}, {"lineNumber": 64, "col_offset": 8, "nodeName": "list_text_multi_lead_white", "type": "List[str]"}, {"lineNumber": 65, "col_offset": 8, "nodeName": "test_queue_multi_white", "type": "queue.Queue[nothing]"}, {"lineNumber": 68, "col_offset": 12, "nodeName": "word", "type": "str"}, {"lineNumber": 68, "col_offset": 20, "nodeName": "list_text_multi_lead_white", "type": "List[str]"}, {"lineNumber": 80, "col_offset": 8, "nodeName": "list_text_lead_blank_lines", "type": "List[str]"}, {"lineNumber": 81, "col_offset": 8, "nodeName": "test_queue_blank_lines", "type": "queue.Queue[nothing]"}, {"lineNumber": 84, "col_offset": 12, "nodeName": "word", "type": "str"}, {"lineNumber": 84, "col_offset": 20, "nodeName": "list_text_lead_blank_lines", "type": "List[str]"}, {"lineNumber": 94, "col_offset": 8, "nodeName": "list_text_multi_blanks", "type": "List[str]"}, {"lineNumber": 95, "col_offset": 8, "nodeName": "test_queue_multi_blanks", "type": "queue.Queue[nothing]"}, {"lineNumber": 98, "col_offset": 12, "nodeName": "word", "type": "str"}, {"lineNumber": 98, "col_offset": 20, "nodeName": "list_text_multi_blanks", "type": "List[str]"}, {"lineNumber": 111, "col_offset": 8, "nodeName": "list_text_lead_chars", "type": "List[str]"}, {"lineNumber": 112, "col_offset": 8, "nodeName": "test_queue_chars", "type": "queue.Queue[nothing]"}, {"lineNumber": 115, "col_offset": 12, "nodeName": "char", "type": "str"}, {"lineNumber": 115, "col_offset": 20, "nodeName": "list_text_lead_chars", "type": "List[str]"}, {"lineNumber": 126, "col_offset": 8, "nodeName": "list_text_lead_white_chars", "type": "List[str]"}, {"lineNumber": 127, "col_offset": 8, "nodeName": "test_queue_white_chars", "type": "queue.Queue[nothing]"}, {"lineNumber": 130, "col_offset": 12, "nodeName": "char", "type": "str"}, {"lineNumber": 130, "col_offset": 20, "nodeName": "list_text_lead_white_chars", "type": "List[str]"}, {"lineNumber": 142, "col_offset": 8, "nodeName": "text_one_char", "type": "List[str]"}, {"lineNumber": 143, "col_offset": 8, "nodeName": "test_queue_one_char", "type": "queue.Queue[nothing]"}, {"lineNumber": 146, "col_offset": 12, "nodeName": "char", "type": "str"}, {"lineNumber": 146, "col_offset": 20, "nodeName": "text_one_char", "type": "List[str]"}, {"lineNumber": 157, "col_offset": 8, "nodeName": "text_strip_whole", "type": "List[str]"}, {"lineNumber": 158, "col_offset": 8, "nodeName": "test_queue_strip_whole", "type": "queue.Queue[nothing]"}, {"lineNumber": 161, "col_offset": 12, "nodeName": "char", "type": "str"}, {"lineNumber": 161, "col_offset": 20, "nodeName": "text_strip_whole", "type": "List[str]"}, {"lineNumber": 174, "col_offset": 8, "nodeName": "list_text_lead_words", "type": "List[str]"}, {"lineNumber": 175, "col_offset": 8, "nodeName": "test_queue_words", "type": "queue.Queue[nothing]"}, {"lineNumber": 178, "col_offset": 12, "nodeName": "word", "type": "str"}, {"lineNumber": 178, "col_offset": 20, "nodeName": "list_text_lead_words", "type": "List[str]"}, {"lineNumber": 187, "col_offset": 8, "nodeName": "list_text_lead_whites", "type": "List[str]"}, {"lineNumber": 188, "col_offset": 8, "nodeName": "test_queue_whites_zero", "type": "queue.Queue[nothing]"}, {"lineNumber": 189, "col_offset": 8, "nodeName": "test_queue_whites_one", "type": "queue.Queue[nothing]"}, {"lineNumber": 192, "col_offset": 12, "nodeName": "word", "type": "str"}, {"lineNumber": 192, "col_offset": 20, "nodeName": "list_text_lead_whites", "type": "List[str]"}, {"lineNumber": 194, "col_offset": 12, "nodeName": "word", "type": "str"}, {"lineNumber": 194, "col_offset": 20, "nodeName": "list_text_lead_whites", "type": "List[str]"}, {"lineNumber": 206, "col_offset": 8, "nodeName": "text_one_word", "type": "List[str]"}, {"lineNumber": 207, "col_offset": 8, "nodeName": "test_queue_one_word", "type": "queue.Queue[nothing]"}, {"lineNumber": 210, "col_offset": 12, "nodeName": "word", "type": "str"}, {"lineNumber": 210, "col_offset": 20, "nodeName": "text_one_word", "type": "List[str]"}, {"lineNumber": 220, "col_offset": 8, "nodeName": "list_text_all_words", "type": "List[str]"}, {"lineNumber": 221, "col_offset": 8, "nodeName": "test_queue_all_words", "type": "queue.Queue[nothing]"}, {"lineNumber": 224, "col_offset": 12, "nodeName": "word", "type": "str"}, {"lineNumber": 224, "col_offset": 20, "nodeName": "list_text_all_words", "type": "List[str]"}, {"lineNumber": 236, "col_offset": 8, "nodeName": "list_text_multi_white", "type": "List[str]"}, {"lineNumber": 237, "col_offset": 8, "nodeName": "test_queue_multi_white", "type": "queue.Queue[nothing]"}, {"lineNumber": 240, "col_offset": 12, "nodeName": "word", "type": "str"}, {"lineNumber": 240, "col_offset": 20, "nodeName": "list_text_multi_white", "type": "List[str]"}, {"lineNumber": 254, "col_offset": 8, "nodeName": "list_text_lead_lines", "type": "List[str]"}, {"lineNumber": 255, "col_offset": 8, "nodeName": "test_queue_lines", "type": "queue.Queue[nothing]"}, {"lineNumber": 258, "col_offset": 12, "nodeName": "line", "type": "str"}, {"lineNumber": 258, "col_offset": 20, "nodeName": "list_text_lead_lines", "type": "List[str]"}, {"lineNumber": 267, "col_offset": 8, "nodeName": "list_text_multi_blank_lines", "type": "List[str]"}, {"lineNumber": 268, "col_offset": 8, "nodeName": "test_queue_multi_blanks", "type": "queue.Queue[nothing]"}, {"lineNumber": 271, "col_offset": 12, "nodeName": "line", "type": "str"}, {"lineNumber": 271, "col_offset": 20, "nodeName": "list_text_multi_blank_lines", "type": "List[str]"}, {"lineNumber": 382, "col_offset": 8, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 385, "col_offset": 11, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 582, "col_offset": 8, "nodeName": "text_content", "type": "str"}, {"lineNumber": 583, "col_offset": 8, "nodeName": "milestone", "type": "str"}, {"lineNumber": 589, "col_offset": 8, "nodeName": "text_content", "type": "str"}, {"lineNumber": 590, "col_offset": 8, "nodeName": "milestone", "type": "str"}, {"lineNumber": 595, "col_offset": 8, "nodeName": "text_content", "type": "str"}, {"lineNumber": 596, "col_offset": 8, "nodeName": "milestone", "type": "str"}, {"lineNumber": 601, "col_offset": 8, "nodeName": "text_content", "type": "str"}, {"lineNumber": 602, "col_offset": 8, "nodeName": "milestone", "type": "str"}, {"lineNumber": 607, "col_offset": 8, "nodeName": "text_content", "type": "str"}, {"lineNumber": 608, "col_offset": 8, "nodeName": "milestone", "type": "str"}, {"lineNumber": 38, "col_offset": 30, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 45, "col_offset": 8, "nodeName": "strip_leading_white_space", "type": "Callable[[queue.Queue[Any]], None]"}, {"lineNumber": 45, "col_offset": 34, "nodeName": "test_queue_no_white", "type": "queue.Queue[nothing]"}, {"lineNumber": 52, "col_offset": 29, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 59, "col_offset": 8, "nodeName": "strip_leading_white_space", "type": "Callable[[queue.Queue[Any]], None]"}, {"lineNumber": 59, "col_offset": 34, "nodeName": "test_queue_regular", "type": "queue.Queue[nothing]"}, {"lineNumber": 65, "col_offset": 33, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 72, "col_offset": 8, "nodeName": "strip_leading_white_space", "type": "Callable[[queue.Queue[Any]], None]"}, {"lineNumber": 72, "col_offset": 34, "nodeName": "test_queue_multi_white", "type": "queue.Queue[nothing]"}, {"lineNumber": 81, "col_offset": 33, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 88, "col_offset": 8, "nodeName": "strip_leading_blank_lines", "type": "Callable[[queue.Queue[Any]], None]"}, {"lineNumber": 88, "col_offset": 34, "nodeName": "test_queue_blank_lines", "type": "queue.Queue[nothing]"}, {"lineNumber": 95, "col_offset": 34, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 112, "col_offset": 27, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 119, "col_offset": 8, "nodeName": "strip_leading_characters", "type": "Callable[[queue.Queue[Any], int], None]"}, {"lineNumber": 127, "col_offset": 33, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 134, "col_offset": 8, "nodeName": "strip_leading_characters", "type": "Callable[[queue.Queue[Any], int], None]"}, {"lineNumber": 143, "col_offset": 30, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 150, "col_offset": 8, "nodeName": "strip_leading_characters", "type": "Callable[[queue.Queue[Any], int], None]"}, {"lineNumber": 158, "col_offset": 33, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 165, "col_offset": 8, "nodeName": "strip_leading_characters", "type": "Callable[[queue.Queue[Any], int], None]"}, {"lineNumber": 175, "col_offset": 27, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 182, "col_offset": 8, "nodeName": "strip_leading_words", "type": "Callable[[queue.Queue[Any], int], None]"}, {"lineNumber": 188, "col_offset": 33, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 189, "col_offset": 32, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 198, "col_offset": 8, "nodeName": "strip_leading_words", "type": "Callable[[queue.Queue[Any], int], None]"}, {"lineNumber": 199, "col_offset": 8, "nodeName": "strip_leading_words", "type": "Callable[[queue.Queue[Any], int], None]"}, {"lineNumber": 207, "col_offset": 30, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 214, "col_offset": 8, "nodeName": "strip_leading_words", "type": "Callable[[queue.Queue[Any], int], None]"}, {"lineNumber": 221, "col_offset": 31, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 228, "col_offset": 8, "nodeName": "strip_leading_words", "type": "Callable[[queue.Queue[Any], int], None]"}, {"lineNumber": 237, "col_offset": 33, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 244, "col_offset": 8, "nodeName": "strip_leading_words", "type": "Callable[[queue.Queue[Any], int], None]"}, {"lineNumber": 255, "col_offset": 27, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 262, "col_offset": 8, "nodeName": "strip_leading_lines", "type": "Callable[[queue.Queue[Any], int], None]"}, {"lineNumber": 268, "col_offset": 34, "nodeName": "Queue", "type": "Type[queue.Queue[Any]]"}, {"lineNumber": 275, "col_offset": 8, "nodeName": "strip_leading_lines", "type": "Callable[[queue.Queue[Any], int], None]"}, {"lineNumber": 324, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 327, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 331, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 334, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 338, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 341, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 345, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 348, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 373, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 376, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 379, "col_offset": 11, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 382, "col_offset": 12, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 384, "col_offset": 14, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 417, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 419, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 423, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 426, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 431, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 434, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 439, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 442, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 447, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 450, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 484, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 486, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 491, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 493, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 498, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 500, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 549, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 550, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 554, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 555, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 566, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 567, "col_offset": 12, "nodeName": "_", "type": "List[str]"}, {"lineNumber": 570, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 647, "col_offset": 12, "nodeName": "_", "type": "bool"}, {"lineNumber": 650, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 655, "col_offset": 12, "nodeName": "_", "type": "bool"}, {"lineNumber": 658, "col_offset": 15, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 17, "col_offset": 15, "nodeName": "split_keep_whitespace", "type": "Callable[[Any], List[str]]"}, {"lineNumber": 18, "col_offset": 15, "nodeName": "split_keep_whitespace", "type": "Callable[[Any], List[str]]"}, {"lineNumber": 19, "col_offset": 15, "nodeName": "split_keep_whitespace", "type": "Callable[[Any], List[str]]"}, {"lineNumber": 20, "col_offset": 15, "nodeName": "split_keep_whitespace", "type": "Callable[[Any], List[str]]"}, {"lineNumber": 21, "col_offset": 15, "nodeName": "split_keep_whitespace", "type": "Callable[[Any], List[str]]"}, {"lineNumber": 22, "col_offset": 15, "nodeName": "split_keep_whitespace", "type": "Callable[[Any], List[str]]"}, {"lineNumber": 24, "col_offset": 15, "nodeName": "split_keep_whitespace", "type": "Callable[[Any], List[str]]"}, {"lineNumber": 28, "col_offset": 15, "nodeName": "count_words", "type": "Callable[[Any], int]"}, {"lineNumber": 29, "col_offset": 15, "nodeName": "count_words", "type": "Callable[[Any], int]"}, {"lineNumber": 30, "col_offset": 15, "nodeName": "count_words", "type": "Callable[[Any], int]"}, {"lineNumber": 31, "col_offset": 15, "nodeName": "count_words", "type": "Callable[[Any], int]"}, {"lineNumber": 32, "col_offset": 15, "nodeName": "count_words", "type": "Callable[[Any], int]"}, {"lineNumber": 42, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 42, "col_offset": 36, "nodeName": "word", "type": "str"}, {"lineNumber": 48, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 48, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 56, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 56, "col_offset": 35, "nodeName": "word", "type": "str"}, {"lineNumber": 61, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 61, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 69, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 69, "col_offset": 39, "nodeName": "word", "type": "str"}, {"lineNumber": 75, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 75, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 85, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 85, "col_offset": 39, "nodeName": "word", "type": "str"}, {"lineNumber": 91, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 91, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 99, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 99, "col_offset": 40, "nodeName": "word", "type": "str"}, {"lineNumber": 102, "col_offset": 12, "nodeName": "strip_leading_blank_lines", "type": "Callable[[queue.Queue[Any]], None]"}, {"lineNumber": 102, "col_offset": 38, "nodeName": "test_queue_multi_blanks", "type": "queue.Queue[nothing]"}, {"lineNumber": 105, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 105, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 116, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 116, "col_offset": 33, "nodeName": "char", "type": "str"}, {"lineNumber": 119, "col_offset": 44, "nodeName": "test_queue_chars", "type": "queue.Queue[nothing]"}, {"lineNumber": 122, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 122, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 131, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 131, "col_offset": 39, "nodeName": "char", "type": "str"}, {"lineNumber": 134, "col_offset": 44, "nodeName": "test_queue_white_chars", "type": "queue.Queue[nothing]"}, {"lineNumber": 138, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 138, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 147, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 147, "col_offset": 36, "nodeName": "char", "type": "str"}, {"lineNumber": 150, "col_offset": 44, "nodeName": "test_queue_one_char", "type": "queue.Queue[nothing]"}, {"lineNumber": 153, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 153, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 162, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 162, "col_offset": 39, "nodeName": "char", "type": "str"}, {"lineNumber": 165, "col_offset": 44, "nodeName": "test_queue_strip_whole", "type": "queue.Queue[nothing]"}, {"lineNumber": 169, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 169, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 179, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 179, "col_offset": 33, "nodeName": "word", "type": "str"}, {"lineNumber": 182, "col_offset": 39, "nodeName": "test_queue_words", "type": "queue.Queue[nothing]"}, {"lineNumber": 184, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 184, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 193, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 193, "col_offset": 39, "nodeName": "word", "type": "str"}, {"lineNumber": 195, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 195, "col_offset": 38, "nodeName": "word", "type": "str"}, {"lineNumber": 198, "col_offset": 39, "nodeName": "test_queue_whites_zero", "type": "queue.Queue[nothing]"}, {"lineNumber": 199, "col_offset": 39, "nodeName": "test_queue_whites_one", "type": "queue.Queue[nothing]"}, {"lineNumber": 202, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 202, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 203, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 203, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 211, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 211, "col_offset": 36, "nodeName": "word", "type": "str"}, {"lineNumber": 214, "col_offset": 39, "nodeName": "test_queue_one_word", "type": "queue.Queue[nothing]"}, {"lineNumber": 217, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 217, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 225, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 225, "col_offset": 37, "nodeName": "word", "type": "str"}, {"lineNumber": 228, "col_offset": 39, "nodeName": "test_queue_all_words", "type": "queue.Queue[nothing]"}, {"lineNumber": 231, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 231, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 241, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 241, "col_offset": 39, "nodeName": "word", "type": "str"}, {"lineNumber": 244, "col_offset": 39, "nodeName": "test_queue_multi_white", "type": "queue.Queue[nothing]"}, {"lineNumber": 247, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 247, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 259, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 259, "col_offset": 33, "nodeName": "line", "type": "str"}, {"lineNumber": 262, "col_offset": 39, "nodeName": "test_queue_lines", "type": "queue.Queue[nothing]"}, {"lineNumber": 264, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 264, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 272, "col_offset": 12, "nodeName": "put", "type": "Callable[..., None]"}, {"lineNumber": 272, "col_offset": 40, "nodeName": "line", "type": "str"}, {"lineNumber": 275, "col_offset": 39, "nodeName": "test_queue_multi_blanks", "type": "queue.Queue[nothing]"}, {"lineNumber": 277, "col_offset": 15, "nodeName": "list", "type": "Type[List[Any]]"}, {"lineNumber": 277, "col_offset": 20, "nodeName": "queue", "type": "Any"}, {"lineNumber": 282, "col_offset": 15, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 284, "col_offset": 15, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 288, "col_offset": 15, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 290, "col_offset": 15, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 292, "col_offset": 15, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 294, "col_offset": 15, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 298, "col_offset": 15, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 300, "col_offset": 15, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 302, "col_offset": 15, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 304, "col_offset": 15, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 308, "col_offset": 15, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 310, "col_offset": 15, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 312, "col_offset": 15, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 314, "col_offset": 15, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 318, "col_offset": 15, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 324, "col_offset": 16, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 326, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 331, "col_offset": 16, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 333, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 338, "col_offset": 16, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 340, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 345, "col_offset": 16, "nodeName": "cut_by_characters", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 347, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 354, "col_offset": 15, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 356, "col_offset": 15, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 358, "col_offset": 15, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 365, "col_offset": 15, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 367, "col_offset": 15, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 373, "col_offset": 16, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 375, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 386, "col_offset": 29, "nodeName": "OVERLAP_LARGE_MESSAGE", "type": "str"}, {"lineNumber": 389, "col_offset": 15, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 391, "col_offset": 15, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 393, "col_offset": 15, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 395, "col_offset": 15, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 397, "col_offset": 15, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 399, "col_offset": 15, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 402, "col_offset": 15, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 405, "col_offset": 15, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 408, "col_offset": 15, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 411, "col_offset": 15, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 417, "col_offset": 16, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 418, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 423, "col_offset": 16, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 425, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 431, "col_offset": 16, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 433, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 439, "col_offset": 16, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 441, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 447, "col_offset": 16, "nodeName": "cut_by_words", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 449, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 456, "col_offset": 15, "nodeName": "cut_by_lines", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 458, "col_offset": 15, "nodeName": "cut_by_lines", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 462, "col_offset": 15, "nodeName": "cut_by_lines", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 464, "col_offset": 15, "nodeName": "cut_by_lines", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 466, "col_offset": 15, "nodeName": "cut_by_lines", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 469, "col_offset": 15, "nodeName": "cut_by_lines", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 474, "col_offset": 15, "nodeName": "cut_by_lines", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 476, "col_offset": 15, "nodeName": "cut_by_lines", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 479, "col_offset": 15, "nodeName": "cut_by_lines", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 484, "col_offset": 16, "nodeName": "cut_by_lines", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 485, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 491, "col_offset": 16, "nodeName": "cut_by_lines", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 492, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 498, "col_offset": 16, "nodeName": "cut_by_lines", "type": "Callable[[str, int, int, Union[float, int]], List[str]]"}, {"lineNumber": 499, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 506, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 507, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 509, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 511, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 515, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 516, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 518, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 522, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 526, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 528, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 531, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 533, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 537, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 539, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 540, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 541, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 543, "col_offset": 15, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 549, "col_offset": 16, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 554, "col_offset": 16, "nodeName": "cut_by_number", "type": "Callable[[str, int], List[str]]"}, {"lineNumber": 561, "col_offset": 15, "nodeName": "cut_by_milestone", "type": "Callable[[str, str], List[str]]"}, {"lineNumber": 562, "col_offset": 15, "nodeName": "cut_by_milestone", "type": "Callable[[str, str], List[str]]"}, {"lineNumber": 566, "col_offset": 16, "nodeName": "cut_by_milestone", "type": "Callable[[str, str], List[str]]"}, {"lineNumber": 567, "col_offset": 16, "nodeName": "cut_by_milestone", "type": "Callable[[str, str], List[str]]"}, {"lineNumber": 569, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 574, "col_offset": 15, "nodeName": "cut_by_milestone", "type": "Callable[[str, str], List[str]]"}, {"lineNumber": 576, "col_offset": 15, "nodeName": "cut_by_milestone", "type": "Callable[[str, str], List[str]]"}, {"lineNumber": 578, "col_offset": 15, "nodeName": "cut_by_milestone", "type": "Callable[[str, str], List[str]]"}, {"lineNumber": 584, "col_offset": 15, "nodeName": "cut_by_milestone", "type": "Callable[[str, str], List[str]]"}, {"lineNumber": 584, "col_offset": 32, "nodeName": "text_content", "type": "str"}, {"lineNumber": 584, "col_offset": 46, "nodeName": "milestone", "type": "str"}, {"lineNumber": 591, "col_offset": 15, "nodeName": "cut_by_milestone", "type": "Callable[[str, str], List[str]]"}, {"lineNumber": 591, "col_offset": 32, "nodeName": "text_content", "type": "str"}, {"lineNumber": 591, "col_offset": 46, "nodeName": "milestone", "type": "str"}, {"lineNumber": 597, "col_offset": 15, "nodeName": "cut_by_milestone", "type": "Callable[[str, str], List[str]]"}, {"lineNumber": 597, "col_offset": 32, "nodeName": "text_content", "type": "str"}, {"lineNumber": 597, "col_offset": 46, "nodeName": "milestone", "type": "str"}, {"lineNumber": 603, "col_offset": 15, "nodeName": "cut_by_milestone", "type": "Callable[[str, str], List[str]]"}, {"lineNumber": 603, "col_offset": 32, "nodeName": "text_content", "type": "str"}, {"lineNumber": 603, "col_offset": 46, "nodeName": "milestone", "type": "str"}, {"lineNumber": 609, "col_offset": 15, "nodeName": "cut_by_milestone", "type": "Callable[[str, str], List[str]]"}, {"lineNumber": 609, "col_offset": 32, "nodeName": "text_content", "type": "str"}, {"lineNumber": 609, "col_offset": 46, "nodeName": "milestone", "type": "str"}, {"lineNumber": 615, "col_offset": 15, "nodeName": "cut", "type": "Callable[[str, str, str, str, str], List[str]]"}, {"lineNumber": 617, "col_offset": 15, "nodeName": "cut", "type": "Callable[[str, str, str, str, str], List[str]]"}, {"lineNumber": 623, "col_offset": 15, "nodeName": "cut", "type": "Callable[[str, str, str, str, str], List[str]]"}, {"lineNumber": 626, "col_offset": 15, "nodeName": "cut", "type": "Callable[[str, str, str, str, str], List[str]]"}, {"lineNumber": 628, "col_offset": 15, "nodeName": "cut", "type": "Callable[[str, str, str, str, str], List[str]]"}, {"lineNumber": 630, "col_offset": 15, "nodeName": "cut", "type": "Callable[[str, str, str, str, str], List[str]]"}, {"lineNumber": 632, "col_offset": 15, "nodeName": "cut", "type": "Callable[[str, str, str, str, str], List[str]]"}, {"lineNumber": 634, "col_offset": 15, "nodeName": "cut", "type": "Callable[[str, str, str, str, str], List[str]]"}, {"lineNumber": 636, "col_offset": 15, "nodeName": "cut", "type": "Callable[[str, str, str, str, str], List[str]]"}, {"lineNumber": 638, "col_offset": 15, "nodeName": "cut", "type": "Callable[[str, str, str, str, str], List[str]]"}, {"lineNumber": 641, "col_offset": 15, "nodeName": "cut", "type": "Callable[[str, str, str, str, str], List[str]]"}, {"lineNumber": 649, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 657, "col_offset": 18, "nodeName": "AssertionError", "type": "Type[AssertionError]"}, {"lineNumber": 42, "col_offset": 12, "nodeName": "test_queue_no_white", "type": "queue.Queue[nothing]"}, {"lineNumber": 48, "col_offset": 20, "nodeName": "test_queue_no_white", "type": "queue.Queue[nothing]"}, {"lineNumber": 56, "col_offset": 12, "nodeName": "test_queue_regular", "type": "queue.Queue[nothing]"}, {"lineNumber": 61, "col_offset": 20, "nodeName": "test_queue_regular", "type": "queue.Queue[nothing]"}, {"lineNumber": 69, "col_offset": 12, "nodeName": "test_queue_multi_white", "type": "queue.Queue[nothing]"}, {"lineNumber": 75, "col_offset": 20, "nodeName": "test_queue_multi_white", "type": "queue.Queue[nothing]"}, {"lineNumber": 85, "col_offset": 12, "nodeName": "test_queue_blank_lines", "type": "queue.Queue[nothing]"}, {"lineNumber": 91, "col_offset": 20, "nodeName": "test_queue_blank_lines", "type": "queue.Queue[nothing]"}, {"lineNumber": 99, "col_offset": 12, "nodeName": "test_queue_multi_blanks", "type": "queue.Queue[nothing]"}, {"lineNumber": 105, "col_offset": 20, "nodeName": "test_queue_multi_blanks", "type": "queue.Queue[nothing]"}, {"lineNumber": 116, "col_offset": 12, "nodeName": "test_queue_chars", "type": "queue.Queue[nothing]"}, {"lineNumber": 122, "col_offset": 20, "nodeName": "test_queue_chars", "type": "queue.Queue[nothing]"}, {"lineNumber": 131, "col_offset": 12, "nodeName": "test_queue_white_chars", "type": "queue.Queue[nothing]"}, {"lineNumber": 138, "col_offset": 20, "nodeName": "test_queue_white_chars", "type": "queue.Queue[nothing]"}, {"lineNumber": 147, "col_offset": 12, "nodeName": "test_queue_one_char", "type": "queue.Queue[nothing]"}, {"lineNumber": 153, "col_offset": 20, "nodeName": "test_queue_one_char", "type": "queue.Queue[nothing]"}, {"lineNumber": 162, "col_offset": 12, "nodeName": "test_queue_strip_whole", "type": "queue.Queue[nothing]"}, {"lineNumber": 169, "col_offset": 20, "nodeName": "test_queue_strip_whole", "type": "queue.Queue[nothing]"}, {"lineNumber": 179, "col_offset": 12, "nodeName": "test_queue_words", "type": "queue.Queue[nothing]"}, {"lineNumber": 184, "col_offset": 20, "nodeName": "test_queue_words", "type": "queue.Queue[nothing]"}, {"lineNumber": 193, "col_offset": 12, "nodeName": "test_queue_whites_zero", "type": "queue.Queue[nothing]"}, {"lineNumber": 195, "col_offset": 12, "nodeName": "test_queue_whites_one", "type": "queue.Queue[nothing]"}, {"lineNumber": 202, "col_offset": 20, "nodeName": "test_queue_whites_zero", "type": "queue.Queue[nothing]"}, {"lineNumber": 203, "col_offset": 20, "nodeName": "test_queue_whites_one", "type": "queue.Queue[nothing]"}, {"lineNumber": 211, "col_offset": 12, "nodeName": "test_queue_one_word", "type": "queue.Queue[nothing]"}, {"lineNumber": 217, "col_offset": 20, "nodeName": "test_queue_one_word", "type": "queue.Queue[nothing]"}, {"lineNumber": 225, "col_offset": 12, "nodeName": "test_queue_all_words", "type": "queue.Queue[nothing]"}, {"lineNumber": 231, "col_offset": 20, "nodeName": "test_queue_all_words", "type": "queue.Queue[nothing]"}, {"lineNumber": 241, "col_offset": 12, "nodeName": "test_queue_multi_white", "type": "queue.Queue[nothing]"}, {"lineNumber": 247, "col_offset": 20, "nodeName": "test_queue_multi_white", "type": "queue.Queue[nothing]"}, {"lineNumber": 259, "col_offset": 12, "nodeName": "test_queue_lines", "type": "queue.Queue[nothing]"}, {"lineNumber": 264, "col_offset": 20, "nodeName": "test_queue_lines", "type": "queue.Queue[nothing]"}, {"lineNumber": 272, "col_offset": 12, "nodeName": "test_queue_multi_blanks", "type": "queue.Queue[nothing]"}, {"lineNumber": 277, "col_offset": 20, "nodeName": "test_queue_multi_blanks", "type": "queue.Queue[nothing]"}, {"lineNumber": 328, "col_offset": 33, "nodeName": "NON_POSITIVE_SEGMENT_MESSAGE", "type": "str"}, {"lineNumber": 335, "col_offset": 33, "nodeName": "NEG_OVERLAP_LAST_PROP_MESSAGE", "type": "str"}, {"lineNumber": 342, "col_offset": 33, "nodeName": "NEG_OVERLAP_LAST_PROP_MESSAGE", "type": "str"}, {"lineNumber": 349, "col_offset": 33, "nodeName": "LARGER_CHUNK_SIZE_MESSAGE", "type": "str"}, {"lineNumber": 377, "col_offset": 33, "nodeName": "OVERLAP_LARGE_MESSAGE", "type": "str"}, {"lineNumber": 386, "col_offset": 15, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 386, "col_offset": 19, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 420, "col_offset": 33, "nodeName": "SEG_NON_POSITIVE_MESSAGE", "type": "str"}, {"lineNumber": 427, "col_offset": 33, "nodeName": "SEG_NON_POSITIVE_MESSAGE", "type": "str"}, {"lineNumber": 435, "col_offset": 33, "nodeName": "SEG_NON_POSITIVE_MESSAGE", "type": "str"}, {"lineNumber": 443, "col_offset": 33, "nodeName": "PROP_NEGATIVE_MESSAGE", "type": "str"}, {"lineNumber": 451, "col_offset": 33, "nodeName": "OVERLAP_NEGATIVE_MESSAGE", "type": "str"}, {"lineNumber": 487, "col_offset": 33, "nodeName": "NON_POSITIVE_SEGMENT_MESSAGE", "type": "str"}, {"lineNumber": 494, "col_offset": 33, "nodeName": "NEG_OVERLAP_LAST_PROP_MESSAGE", "type": "str"}, {"lineNumber": 501, "col_offset": 33, "nodeName": "LARGER_CHUNK_SIZE_MESSAGE", "type": "str"}, {"lineNumber": 551, "col_offset": 33, "nodeName": "NON_POSITIVE_SEGMENT_MESSAGE", "type": "str"}, {"lineNumber": 556, "col_offset": 33, "nodeName": "NON_POSITIVE_SEGMENT_MESSAGE", "type": "str"}, {"lineNumber": 571, "col_offset": 33, "nodeName": "EMPTY_MILESTONE_MESSAGE", "type": "str"}, {"lineNumber": 647, "col_offset": 16, "nodeName": "cut", "type": "Callable[[str, str, str, str, str], List[str]]"}, {"lineNumber": 651, "col_offset": 33, "nodeName": "INVALID_CUTTING_TYPE_MESSAGE", "type": "str"}, {"lineNumber": 655, "col_offset": 16, "nodeName": "cut", "type": "Callable[[str, str, str, str, str], List[str]]"}, {"lineNumber": 659, "col_offset": 33, "nodeName": "SEG_NON_POSITIVE_MESSAGE", "type": "str"}, {"lineNumber": 328, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 328, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 335, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 335, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 342, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 342, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 349, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 349, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 377, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 377, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 420, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 420, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 427, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 427, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 435, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 435, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 443, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 443, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 451, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 451, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 487, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 487, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 494, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 494, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 501, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 501, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 551, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 551, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 556, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 556, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 571, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 571, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 651, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 651, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}, {"lineNumber": 659, "col_offset": 19, "nodeName": "str", "type": "Type[str]"}, {"lineNumber": 659, "col_offset": 23, "nodeName": "error", "type": "AssertionError"}] |
{
"path": "_news",
"content": "<div class='row'><div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://venturebeat.com/2020/04/17/ai-weekly-when-to-ship-or-shelve-a-coronavirus-solution/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fventurebeat.com%2Fwp-content%2Fuploads%2F2020%2F04%2FGettyImages-1214233667.jpg%3Ffit%3D1800%252C900%26strip%3Dall&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://venturebeat.com/2020/04/17/ai-weekly-when-to-ship-or-shelve-a-coronavirus-solution/\">AI Weekly: When to ship or shelve a coronavirus solution</a></div>\r\n\t\t<div class=\"card-excerpt\">Those debates certainly carry over to the kind of AI being deployed right now, and the important question of when a company should ship or shelve a coronavirus solution. A lot of AI is being deployed in the pandemic to save lives and someday soon help us resume daily lives, much of which you’ve been able to read about here. But they aren’t ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">VentureBeat</span> • <span class=\"card-date\">4/17/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://venturebeat.com/2020/04/17/ai-researchers-propose-bias-bounties-to-put-ethics-principles-into-practice/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fventurebeat.com%2Fwp-content%2Fuploads%2F2020%2F04%2FGettyImages-1199708189.jpg%3Ffit%3D1800%252C900%26strip%3Dall&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://venturebeat.com/2020/04/17/ai-researchers-propose-bias-bounties-to-put-ethics-principles-into-practice/\">AI researchers propose ‘bias bounties’ to put ethics principles into practice</a></div>\r\n\t\t<div class=\"card-excerpt\">Researchers from Google Brain, Intel, OpenAI, and top research labs in the U.S. and Europe joined forces this week to release what the group calls a toolbox for turning AI ethics principles into practice. The kit for organizations creating AI models includes the idea of paying developers for finding bias in AI, akin to the bug bounties offered ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">VentureBeat</span> • <span class=\"card-date\">4/17/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://venturebeat.com/2020/04/16/venturebeats-flagship-ai-event-transform-goes-fully-digital-and-extends-to-3-days/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fventurebeat.com%2Fwp-content%2Fuploads%2F2020%2F04%2FVB-Transform-2020.png%3Ffit%3D1800%252C1200%26strip%3Dall&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://venturebeat.com/2020/04/16/venturebeats-flagship-ai-event-transform-goes-fully-digital-and-extends-to-3-days/\">VentureBeat’s flagship AI event, Transform, goes fully digital and extends to 3 days</a></div>\r\n\t\t<div class=\"card-excerpt\">Transform will also host its popular Women-in-AI breakfast, sponsored by Intel and Capital One. Transform will include a focus on diversity and inclusion topics, reflecting how ethics has become an important part of smart AI practice, and host its 2nd annual AI Innovation Awards. VentureBeat’s virtual event will allow AI innovators and ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">VentureBeat</span> • <span class=\"card-date\">4/16/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.forbes.com/sites/lanceeliot/2020/04/16/futurelaw-2020-showcases-how-tech-is-transforming-the-law-including-the-impacts-of-ai/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fthumbor.forbes.com%2Fthumbor%2Ffit-in%2F1200x0%2Ffilters%253Aformat%2528jpg%2529%2Fhttps%253A%252F%252Fspecials-images.forbesimg.com%252Fimageserve%252F1028387732%252F0x0.jpg%253FcropX1%253D0%2526cropX2%253D5616%2526cropY1%253D155%2526cropY2%253D3901&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.forbes.com/sites/lanceeliot/2020/04/16/futurelaw-2020-showcases-how-tech-is-transforming-the-law-including-the-impacts-of-ai/\">FutureLaw 2020 Showcases How Tech Is Transforming The Law, Including The Impacts Of AI</a></div>\r\n\t\t<div class=\"card-excerpt\">As his point vividly suggests, when it comes to law and the practice of law, there is a great deal of human reasoning involved, far beyond the reach of any simplistic calculating machine. Of course, his authoritative remark was proffered in the late 1940s when computers were massive in size and minuscule in computational capabilities when compared to the power of today’s computing,</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">Forbes</span> • <span class=\"card-date\">4/16/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.forbes.com/sites/forbestechcouncil/2020/04/15/how-it-help-desks-can-accelerate-service-delivery-for-remote-employees/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fthumbor.forbes.com%2Fthumbor%2Ffit-in%2F1200x0%2Ffilters%253Aformat%2528jpg%2529%2Fhttps%253A%252F%252Fblogs-images.forbes.com%252Fforbestechcouncil%252Ffiles%252F2020%252F04%252Fa-27-1.jpg&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.forbes.com/sites/forbestechcouncil/2020/04/15/how-it-help-desks-can-accelerate-service-delivery-for-remote-employees/\">How IT Help Desks Can Accelerate Service Delivery For Remote Employees</a></div>\r\n\t\t<div class=\"card-excerpt\">We’re already aware that AI is transforming the IT help desk. The recent global pandemic, however, calls new attention to AI’s capabilities. As health concerns continue to spread, more enterprises are implementing remote work.</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">Forbes</span> • <span class=\"card-date\">4/15/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.techrepublic.com/article/top-5-things-to-know-about-neuro-symbolic-artificial-intelligence/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Ftr4.cbsistatic.com%2Fhub%2Fi%2Fr%2F2019%2F04%2F30%2F5b11ee32-73c2-44a4-8b2b-3e5f9e608f39%2Fresize%2F1200x%2F597423bf50db8a7114b211dfeb791671%2Fistock-889289314azure.jpg&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.techrepublic.com/article/top-5-things-to-know-about-neuro-symbolic-artificial-intelligence/\">Top 5 things to know about neuro-symbolic artificial intelligence</a></div>\r\n\t\t<div class=\"card-excerpt\">What do you get when you combine neural networks with symbolic AI? The answer is: Neuro-symbolic artificial intelligence. Tom Merritt lists five things you should know about it. You hear a lot about neural networks and deep learning these days. They can do a lot of impressive things like create pictures of cats that never existed and other ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">TechRepublic</span> • <span class=\"card-date\">4/13/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.forbes.com/sites/cognitiveworld/2020/04/12/the-united-kingdoms-role-in-the-future-of-ai/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fthumbor.forbes.com%2Fthumbor%2Ffit-in%2F1200x0%2Ffilters%253Aformat%2528jpg%2529%2Fhttps%253A%252F%252Fspecials-images.forbesimg.com%252Fimageserve%252F5e8c7858b0a4e4000746d816%252F0x0.jpg&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.forbes.com/sites/cognitiveworld/2020/04/12/the-united-kingdoms-role-in-the-future-of-ai/\">The United Kingdom’s Role In The Future Of AI</a></div>\r\n\t\t<div class=\"card-excerpt\">The UK has played an important role in the history and development of AI. What are their plans to stay at the forefront in the years ahead?</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">Forbes</span> • <span class=\"card-date\">4/12/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://venturebeat.com/2020/04/10/probeat-microsoft-teams-video-calls-and-the-ethics-of-invisible-ai/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fventurebeat.com%2Fwp-content%2Fuploads%2F2016%2F10%2Fmicrosoft_teams.png%3Ffit%3D1200%252C600%26strip%3Dall&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://venturebeat.com/2020/04/10/probeat-microsoft-teams-video-calls-and-the-ethics-of-invisible-ai/\">ProBeat: Microsoft Teams video calls and the ethics of invisible AI</a></div>\r\n\t\t<div class=\"card-excerpt\">Governments and companies alike have been abusing AI in a variety of ways. But even AI features clearly designed to help humans do something as basic as communicate clearly come with ethical questions for the companies and developers that build them. The discussion Aichner and I had gave me a brief glimpse into what businesses and developers ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">VentureBeat</span> • <span class=\"card-date\">4/10/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.zdnet.com/article/time-to-re-evaluate-ai-algorithms-right-from-the-design-stage-experts-urge/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fzdnet2.cbsistatic.com%2Fhub%2Fi%2Fr%2F2019%2F08%2F23%2F48dae248-bd26-4d6e-be1c-cba4b7a77c0c%2Fthumbnail%2F1200x675%2F32335cdb6010e3c68e6e4ca3fbcd103e%2Fover-half-of-google-searches-dont-produc-5d5558af9900780001fb5308-1-aug-23-2019-14-26-20-poster.jpg&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.zdnet.com/article/time-to-re-evaluate-ai-algorithms-right-from-the-design-stage-experts-urge/\">Time to re-evaluate AI algorithms right from the design stage, experts urge</a></div>\r\n\t\t<div class=\"card-excerpt\">Michael Kearns and Aaron Roth, professors at the University of Pennsylvania, suggest that the solution is to \"embed precise definitions of fairness, accuracy, transparency, and ethics at the algorithm's design stage ... as well as designating trained people to examine and audit AI output. \"Have scientists and engineers who know this area ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">ZDNet</span> • <span class=\"card-date\">4/9/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://venturebeat.com/2020/04/09/microsoft-teams-ai-machine-learning-real-time-noise-suppression-typing/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fventurebeat.com%2Fwp-content%2Fuploads%2F2020%2F04%2Fmicrosoft-teams-real-time-noise-suppression-chips.png%3Ffit%3D2000%252C1000%26strip%3Dall&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://venturebeat.com/2020/04/09/microsoft-teams-ai-machine-learning-real-time-noise-suppression-typing/\">How Microsoft Teams will use AI to filter out typing, barking, and other noise from video calls</a></div>\r\n\t\t<div class=\"card-excerpt\">Last month, Microsoft announced that Teams, its competitor to Slack, Facebook’s Workplace, and Google’s Hangouts Chat ... But one feature, real-time noise suppression, stood out — Microsoft demoed how the AI minimized distracting background noise during a call. We’ve all been there. How many times have you asked someone to mute ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">VentureBeat</span> • <span class=\"card-date\">4/9/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.geekwire.com/2020/startup-stimulus-logjams-ethical-questions-impacting-federal-loans-tech-companies/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fcdn.geekwire.com%2Fwp-content%2Fuploads%2F2020%2F01%2F20190209_145224-630x473.jpg&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.geekwire.com/2020/startup-stimulus-logjams-ethical-questions-impacting-federal-loans-tech-companies/\">Startup stimulus? How logjams and ethics are impacting federal loans for tech companies</a></div>\r\n\t\t<div class=\"card-excerpt\">Several startup founders attributed their experience, good or bad, to the bank facilitating the loan. Dan Wachtler, CEO of an artificial intelligence upstart called Darklight, immediately recognized that the type of bank he chose would impact his likelihood of success. Wachtler’s background working with big banks as clients informed his decision.</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">GeekWire</span> • <span class=\"card-date\">4/8/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.geekwire.com/2020/ai-helping-scientists-fight-covid-19-robots-predicting-future/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fcdn.geekwire.com%2Fwp-content%2Fuploads%2F2019%2F02%2F190210-ai-630x420.jpg&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.geekwire.com/2020/ai-helping-scientists-fight-covid-19-robots-predicting-future/\">How AI is helping scientists in the fight against COVID-19, from robots to predicting the future</a></div>\r\n\t\t<div class=\"card-excerpt\">“AI is playing numerous roles, all of which are important based on where we are in the pandemic cycle,” the two told GeekWire in an email. “But what if the virus could have been contained?” Canadian health surveillance startup BlueDot was among the first in the world to identify the COVID-19 risk and accurately predict its ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">GeekWire</span> • <span class=\"card-date\">4/8/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://diginomica.com/great-power-ai-comes-great-ethical-responsibility\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fdiginomica.com%2Fsites%2Fdefault%2Ffiles%2Fimages%2F2020-04%2Fethics.png&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://diginomica.com/great-power-ai-comes-great-ethical-responsibility\">With the great power of AI comes great ethical responsibility</a></div>\r\n\t\t<div class=\"card-excerpt\">Representative, fair, transparent and accountable AI systems are more accurate, easier to debug and more likely to comply for existing and future governance. There are three stages that businesses can follow to build ethics into their AI systems. A business must compose its strategy for an ethical working culture that pervades the work ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">Diginomica</span> • <span class=\"card-date\">4/8/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.zawya.com/mena/en/business/story/Dubais_Dewa_shapes_the_future_of_utilities_using_Artificial_Intelligence-SNG_171851562/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fwww.zawya.com%2Fresources%2Fimg%2Fzawya-logo-en-social.png&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.zawya.com/mena/en/business/story/Dubais_Dewa_shapes_the_future_of_utilities_using_Artificial_Intelligence-SNG_171851562/\">Dubai's Dewa shapes the future of utilities using Artificial Intelligence</a></div>\r\n\t\t<div class=\"card-excerpt\">This achieves the National Artificial Intelligence Strategy 2031. Dewa collaborated with Smart Dubai to apply the AI Ethics and Principles in all its projects and initiatives, and Smart Dubai AI Lab. Dewa launched Digital Dewa as its digital arm, with four pillars, making Dewa the world's first digital utility to use autonomous systems for ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">Zawya</span> • <span class=\"card-date\">4/7/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.forbes.com/sites/cognitiveworld/2020/04/04/artificial-or-human-intelligence-companies-faking-ai/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fthumbor.forbes.com%2Fthumbor%2Ffit-in%2F1200x0%2Ffilters%253Aformat%2528jpg%2529%2Fhttps%253A%252F%252Fspecials-images.forbesimg.com%252Fimageserve%252F1126179832%252F0x0.jpg%253FcropX1%253D0%2526cropX2%253D6480%2526cropY1%253D292%2526cropY2%253D3936&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.forbes.com/sites/cognitiveworld/2020/04/04/artificial-or-human-intelligence-companies-faking-ai/\">Artificial Or Human Intelligence? Companies Faking AI</a></div>\r\n\t\t<div class=\"card-excerpt\">Some companies are choosing to approach these AI challenges not by scaling back their AI ambitions, but rather by using humans to do the task that they are otherwise trying to get their AI systems to</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">Forbes</span> • <span class=\"card-date\">4/4/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://venturebeat.com/2020/04/03/tech-leaders-highlight-military-ai-and-5g-investments-they-call-essential-to-u-s-economy-and-national-security/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fventurebeat.com%2Fwp-content%2Fuploads%2F2020%2F04%2F6146265.jpg%3Ffit%3D1800%252C900%26strip%3Dall&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://venturebeat.com/2020/04/03/tech-leaders-highlight-military-ai-and-5g-investments-they-call-essential-to-u-s-economy-and-national-security/\">Tech leaders highlight military AI and 5G investments they call essential to U.S economy and national security</a></div>\r\n\t\t<div class=\"card-excerpt\">Other recommendations in the report include: On matters of privacy and ethics, the Commission singles out Clearview AI, a company that scraped billions of images from the web to create a facial recognition system, as an example of invasive AI-powered tech that should be avoided. Tech companies that track the location of individuals ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">VentureBeat</span> • <span class=\"card-date\">4/3/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://science.sciencemag.org/content/368/6486/9\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fscience.sciencemag.org%2Fcontent%2F368%2F6486%2FF1.medium.gif&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://science.sciencemag.org/content/368/6486/9\">Emerging from AI utopia</a></div>\r\n\t\t<div class=\"card-excerpt\">There has been a proliferation of AI ethics frameworks that provide guidance in identifying the ethical implications of new technologies and propose ways to develop and use these technologies for the better. The Australian Human Rights Commission's Human Rights and Technology Discussion Paper acknowledges an important role for ethics frameworks ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">Science</span> • <span class=\"card-date\">4/2/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.zdnet.com/article/cio-jury-83-of-tech-leaders-have-no-policy-for-ethically-using-ai/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fzdnet1.cbsistatic.com%2Fhub%2Fi%2Fr%2F2020%2F03%2F04%2F1f124c5b-e8c9-4e32-bd55-0b43c2ebaad2%2Fthumbnail%2F1200x675%2Fe2dadb62383d012b4fc239d2dd0ac8e1%2Fthumb.jpg&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.zdnet.com/article/cio-jury-83-of-tech-leaders-have-no-policy-for-ethically-using-ai/\">CIO Jury: 83% of tech leaders have no policy for ethically using AI</a></div>\r\n\t\t<div class=\"card-excerpt\">Read More When asked, \"Does your company have a policy for ethically using AI or machine learning?\" 10 out of 12 tech leaders said no, while just two said yes. That means only 17% of tech leaders in TechRepublic's informal poll have an ethics policy in place for AI and ML. Exactly 12 months ago, TechRepublic asked the same question to its CIO ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">ZDNet</span> • <span class=\"card-date\">4/1/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.zdnet.com/article/developers-its-time-to-brush-up-on-your-philosophy-ethical-ai-is-the-big-new-thing-in-tech/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fzdnet3.cbsistatic.com%2Fhub%2Fi%2Fr%2F2019%2F11%2F06%2Fa1e2b9a4-9330-4565-8e20-f6fb00e3d1a9%2Fthumbnail%2F1200x675%2F251d1466033401dd47e80d969b17de3e%2F20191106-daphne-karen-war.png&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.zdnet.com/article/developers-its-time-to-brush-up-on-your-philosophy-ethical-ai-is-the-big-new-thing-in-tech/\">Developers - it's time to brush up on your philosophy: Ethical AI is the big new thing in tech</a></div>\r\n\t\t<div class=\"card-excerpt\">What's more: algorithmic bias is only one side of the problem: the 'ethics of AI' picture is indeed a multifaceted one. To mitigate the unwelcome consequences of AI systems, governments around the world have been working on drafts, guidelines and frameworks designed to inform developers and help them come up with algorithms that are respectful ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">ZDNet</span> • <span class=\"card-date\">4/1/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.techrepublic.com/article/microsoft-teams-up-with-leading-universities-to-tackle-coronavirus-pandemic-using-ai/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Ftr2.cbsistatic.com%2Fhub%2Fi%2Fr%2F2020%2F03%2F03%2Fefb9f0b3-0ca8-4514-b481-36f1df2e8f22%2Fthumbnail%2F1200x675%2Fa5cb4c555bf6fb63345ce79fcd3d7ada%2F20200225-sonmez-part5-dan.jpg&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.techrepublic.com/article/microsoft-teams-up-with-leading-universities-to-tackle-coronavirus-pandemic-using-ai/\">Microsoft teams up with leading universities to tackle coronavirus pandemic using AI</a></div>\r\n\t\t<div class=\"card-excerpt\">Specifically, those with successful proposals will get unlimited use of the C3 AI Suite, access to the Microsoft Azure cloud platform, and access to the Blue Waters supercomputer at the National Center for Super Computing Applications at the University of Illinois Urbana-Champaign (UIUC). To fund the institute, C3.ai will provide $57,250,000 ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">TechRepublic</span> • <span class=\"card-date\">3/30/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.forbes.com/sites/forbestechcouncil/2020/03/30/why-ai-will-create-more-human-executives/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fthumbor.forbes.com%2Fthumbor%2Ffit-in%2F1200x0%2Ffilters%253Aformat%2528jpg%2529%2Fhttps%253A%252F%252Fblogs-images.forbes.com%252Fforbestechcouncil%252Ffiles%252F2020%252F03%252Fa-8-4.jpg&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.forbes.com/sites/forbestechcouncil/2020/03/30/why-ai-will-create-more-human-executives/\">Why AI Will Create 'More Human' Executives</a></div>\r\n\t\t<div class=\"card-excerpt\">As AI magnifies the impact of new technology, we need CEOs who acknowledge and embrace the unique responsibility that goes with it.</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">Forbes</span> • <span class=\"card-date\">3/30/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://patch.com/california/berkeley/uc-berkeley-covid-19-first-target-new-ai-research-consortium\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fcdn.patchcdn.com%2Fassets%2Flayout%2Flogo-patch-800x600.png&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://patch.com/california/berkeley/uc-berkeley-covid-19-first-target-new-ai-research-consortium\">UC Berkeley: COVID-19 First Target Of New AI Research Consortium</a></div>\r\n\t\t<div class=\"card-excerpt\">A core value in its activities is a commitment to open-source dissemination of the results for the public good.\"</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">Patch</span> • <span class=\"card-date\">3/26/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.zdnet.com/article/c3-ai-microsoft-help-launch-the-c3-ai-digital-transformation-institute/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fzdnet2.cbsistatic.com%2Fhub%2Fi%2Fr%2F2020%2F03%2F26%2F7a4cdb90-55e4-47df-bcef-2270e436b848%2Fthumbnail%2F1200x675%2Fa8d26ed3f62e8f9e33bc56df07bd93c5%2Fonline-learning-gets-its-moment-due-to-c-5e7a254b72c9c14f48d15807-1-mar-26-2020-18-29-53-poster.jpg&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.zdnet.com/article/c3-ai-microsoft-help-launch-the-c3-ai-digital-transformation-institute/\">C3.ai, Microsoft help launch the C3.ai Digital Transformation Institute</a></div>\r\n\t\t<div class=\"card-excerpt\">Additionally, C3.ai and Microsoft will contribute an $310 million in-kind, including use of the C3 AI Suite and Microsoft Azure computing, storage, and technical resources to support the consortium. C3.ai DTI will be jointly managed and hosted by the University of California at Berkeley and the University of Illinois at Urbana-Champaign.</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">ZDNet</span> • <span class=\"card-date\">3/26/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.forbes.com/sites/joemckendrick/2020/03/26/needed-humans-to-break-artificial-intelligence-out-of-its-silo/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fthumbor.forbes.com%2Fthumbor%2Ffit-in%2F1200x0%2Ffilters%253Aformat%2528jpg%2529%2Fhttps%253A%252F%252Fspecials-images.forbesimg.com%252Fimageserve%252F5e33857fe32a410007e7d6ff%252F0x0.jpg&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.forbes.com/sites/joemckendrick/2020/03/26/needed-humans-to-break-artificial-intelligence-out-of-its-silo/\">Needed: Humans To Break Artificial Intelligence Out Of Its Silo</a></div>\r\n\t\t<div class=\"card-excerpt\">AI will fill many roles, but perhaps its greatest potential is in its ability to reach across or break through organizational silos. At this point, however, with most implementations in pilot stages,</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">Forbes</span> • <span class=\"card-date\">3/26/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://news.microsoft.com/2020/03/26/c3-ai-microsoft-and-leading-universities-launch-c3-ai-digital-transformation-institute/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Finsideout.app%2Fai%2Fassets%2Fimages%2Ftopics%2Fai-ethics.jpg&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://news.microsoft.com/2020/03/26/c3-ai-microsoft-and-leading-universities-launch-c3-ai-digital-transformation-institute/\">C3.ai, Microsoft, and leading universities launch C3.ai Digital Transformation Institute</a></div>\r\n\t\t<div class=\"card-excerpt\">“We believe this Institute has the potential to make tremendous contributions by including ethics, new business models, and public policy to the technologies for transforming societal scale systems globally.” “The C3.ai Digital Transformation Institute, with its vision of cross-institutional and multi-disciplinary ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">Microsoft</span> • <span class=\"card-date\">3/26/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://thenextweb.com/syndication/2020/03/25/facial-recognition-and-ai-will-invade-public-privacy-but-it-can-be-done-ethically/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fcdn0.tnwcdn.com%2Fwp-content%2Fblogs.dir%2F1%2Ffiles%2F2020%2F03%2F1-22-796x417.jpg&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://thenextweb.com/syndication/2020/03/25/facial-recognition-and-ai-will-invade-public-privacy-but-it-can-be-done-ethically/\">Facial recognition and AI will invade public privacy — but it can be done ethically</a></div>\r\n\t\t<div class=\"card-excerpt\">The AMA Journal of Ethics further lists some of the implications of AI and facial recognition technology, in terms of violating a user’s privacy. Informed consent is one such issue, with an increasing need for healthcare providers that utilize facial recognition to inform their patients about the potential uses of patient data. To quote the ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">The Next Web</span> • <span class=\"card-date\">3/25/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://venturebeat.com/2020/03/25/google-and-the-oxford-internet-institute-explain-artificial-intelligence-basics-with-the-a-z-of-ai/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fventurebeat.com%2Fwp-content%2Fuploads%2F2020%2F03%2FFeat-3.png%3Ffit%3D1383%252C794%26strip%3Dall&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://venturebeat.com/2020/03/25/google-and-the-oxford-internet-institute-explain-artificial-intelligence-basics-with-the-a-z-of-ai/\">Google and the Oxford Internet Institute explain artificial intelligence basics with the ‘A-Z of AI’</a></div>\r\n\t\t<div class=\"card-excerpt\">and her team to select the specific subjects that they felt were pivotal to understanding AI and its role in how the world operates today. “The 26 topics chosen are by no means an exhaustive list, but they are a great place for first-timers to start,” the guide’s FAQ section explains. “The team carefully balanced their selections across ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">VentureBeat</span> • <span class=\"card-date\">3/25/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://findbiometrics.com/biometrics-news-three-experts-appointed-to-axons-ai-ethics-board-903184/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Ffindbiometrics.com%2Fwp-content%2Fuploads%2FiStock-910132252-1-e1525292879902.jpg&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://findbiometrics.com/biometrics-news-three-experts-appointed-to-axons-ai-ethics-board-903184/\">Three Experts Appointed to Axon’s AI Ethics Board</a></div>\r\n\t\t<div class=\"card-excerpt\">Axon, a provider of smart devices for reduced-force policing and security applications, has appointed three individuals to its AI Ethics Board. Axon offers products like tasers, body cameras, and drones, as well as policing software; and the company seeks to leverage Artificial Intelligence in its offerings. At a time of intensifying scrutiny ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">SecuriMetrics HIIDE</span> • <span class=\"card-date\">3/18/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.cmswire.com/information-management/ibm-and-microsoft-sign-rome-call-for-ai-ethics-what-happens-next/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Fwww.cmswire.com%2F-%2Fmedia%2Fimages%2Fsmg%2Feditorial%2F2020-18-march-doctor-looking-at-xray-on-tablet.ashx%3Fmw%3D1024&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.cmswire.com/information-management/ibm-and-microsoft-sign-rome-call-for-ai-ethics-what-happens-next/\">IBM and Microsoft Sign 'Rome Call for AI Ethics': What Happens Next?</a></div>\r\n\t\t<div class=\"card-excerpt\">On Feb. 28, representatives from the Pontifical Academy for Life, Microsoft, IBM, FAO (UN Food and Agriculture Organization) and the Italian government signed the \"Rome Call for AI Ethics,\" a document developed to support an ethical approach to artificial intelligence. Founded in 1994, the Pontifical Academy is dedicated to study and inform on ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">CMS Wire</span> • <span class=\"card-date\">3/18/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n<div class=\"col-md-4 col-sm-12\">\r\n <div class=\"content-card\">\r\n\t<a href=\"https://www.techrepublic.com/article/85-of-organizations-are-using-ai-in-deployed-applications/\"><div class=\"card-image\" style=\"background-image: url(https://images1-focus-opensocial.googleusercontent.com/gadgets/proxy?url=https%3A%2F%2Ftr4.cbsistatic.com%2Fhub%2Fi%2Fr%2F2019%2F12%2F30%2F1d648c0f-4760-4136-b873-d81d41107963%2Fresize%2F1200x%2F0ca267f50dad0a49084f5dcccb3c2b75%2Fistock-1167065891.jpg&container=focus&resize_w=300&refresh=18000)\"></div></a>\r\n\t<div class=\"content\">\r\n\t\t<div class=\"card-title\"><a href=\"https://www.techrepublic.com/article/85-of-organizations-are-using-ai-in-deployed-applications/\">85% of organizations are using AI in deployed applications</a></div>\r\n\t\t<div class=\"card-excerpt\">For mature adopters, the need to control for interpretability and transparency of machine learning models was the second-most cited risk factor (~55%), while those still evaluating AI placed fairness, bias, and ethics (~40%) in second place. While the risks of AI can be intimidating, the benefits can be worth the risk. For all adopters ...</div>\r\n\t\t<div class=\"card-meta\">\r\n\t\t\t<span class=\"card-provider\">TechRepublic</span> • <span class=\"card-date\">3/18/2020</span>\r\n\t\t</div>\r\n\t</div>\r\n </div>\r\n</div>\r\n</div>"
} |
{"values":["#bubblelibrary:l0_186","#bubblelibrary:l0_187"]} |
{"response": {"status": "ok", "userTier": "developer", "total": 1, "content": {"id": "money/2001/jul/21/tax.taxandyourinvestments", "type": "article", "sectionId": "money", "sectionName": "Money", "webPublicationDate": "2001-07-20T23:00:00Z", "webTitle": "Council tax: Poorest pay the highest price", "webUrl": "https://www.theguardian.com/money/2001/jul/21/tax.taxandyourinvestments", "apiUrl": "https://content.guardianapis.com/money/2001/jul/21/tax.taxandyourinvestments", "fields": {"headline": "Poorest pay the highest price", "bodyText": "A campaign was launched this week to change the council tax system to make it fairer to low income families, who pay a far higher share of their income than richer households. Council tax, as it is currently constituted, is the most unfair and regressive of Britain's major taxes, says the new Centre for Council Tax Reform (CCTR), set up by the left-of-centre independent think-tank, the New Policy Institute, to win support for a fairer, more democratic, tax. It is the largest direct tax for low income families, says the CCTR, with the poorest one-third of British households paying more in council tax than income tax. Even though many low income families pay nothing as a result of council tax benefit, on average households in this group pay between \u00a3500 and \u00a3600 in council tax each year. The tax is \"deeply regressive\" because households living in the most expensive properties rated in the top council tax band pay only three time more than those in the cheapest, bottom band properties, even though variations in house prices and family incomes are many times greater. The result is that, even taking into account council tax benefit, council tax payments average at over 6% of disposable income for the poorest third, while for the richest third the figure is around 3%. \"Council tax is an unfair tax, but there's nothing wrong with it that straightforward reform can't put right,\" says the centre's coordinator Andrew Harrop. \"It hits hard at some of Britain's poorest families and it does not treat like with like because council tax valuations are so out of date. \"The solution is both revaluation and comprehensive reform to increase the gap between top and bottom rates of council tax. Revaluation may have to wait for legislation, but making a start on change would be easy. There is nothing to stop ministers simply increasing the gap between the highest and lowest rates of council tax in time for 2002 bills which land on our doormats next April. Council tax reform could be a quick and efficient way to redistribute income from some of Britain's richest families to some of the poorest, without breaking Labour's election pledges on income tax,\" he says. But critics say the idea of simply upping the amount of council tax paid by families living in high-priced properties and reducing that paid by families in low-value homes could unfairly penalise people who work and, therefore, have to live in property \"hotspots\" such as London, where house values are high and virtually all homes fall into the top council tax bands. \"The jury is still out on whether the government needs to do something specific about places like London and the South east,\" says Mr Harrop. \"Research is needed into whether the income variants are in fact smaller than the house value variants. But owning an expensive property means you have a valuable asset and, in principle, it is right to tax assets of that value.\" The CCTR, supported in its work by local authorities through the Local Government Information Unit and by the public service union PCS, has set up a website www.counciltaxreform.org to keep people informed on council tax and the state of the council tax debate. The centre is not alone in campaigning for council tax reform. In the last year the Commission on Taxation and Citizenship, the Local Government Association and Unison have all called for reform. And earlier this year 65 MPs signed a motion calling for change. How council tax works Council tax is levied according to the value of the home each household occupies and is payable by households who rent as well as by owner occupiers. All homes are allocated to one of eight bands, with lowest value homes in Band A and highest value in Band H. Each year local authorities set the level of council tax for their area by determining the charge payable by households in Band D. In 2001/02 the average English council's Band D council tax is \u00a3901. The tax for households in each of the other bands is a fixed proportion of the Band D council tax for the local authority as follows: Band / Value of home estimated at April 1991 / Proportion of the tax due for a band D property A Under \u00a340,000 66.6% B \u00a340,001-\u00a352,000 77.7% C \u00a352,001-\u00a368,000 88.8% D \u00a368,001-\u00a388,000 100% E \u00a388,001-\u00a3120,000 122.2% F \u00a3120,001-\u00a3160,000 144.4% G \u00a3160,001-\u00a3320,000 166.6% H Over \u00a3320,000 200% Households with only one adult and those where a person has a disability are eligible for discounts on their council tax. Student households pay no tax at all. Households with low incomes can claim council tax benefit which covers some or all of the cost of council tax."}, "isHosted": false, "pillarId": "pillar/lifestyle", "pillarName": "Lifestyle"}}} |
{"poster":"Lord Sesshomaru","date":"2015-10-20T22:01:28.307+0000","title":"Vi/Poppy Ult bug","subforum":"Miscellaneous","up_votes":1,"down_votes":0,"body":"If you are Vi and you ult a Poppy who has ulted one of your teammates, your ult starts, then stops before you hit her and goes on CD\r\n\r\ni know if you hit her it doesn't do anything, but its not supposed to stop your ult as soon as it starts without even dashing. what about the 'knocking up enemies along he way' part?","replies":[{"poster":"Manyula","date":"2015-10-20T23:30:26.643+0000","up_votes":1,"down_votes":1,"body":"Sounds like Rito is telling you not to ult an ulted poppy imo.","replies":[{"poster":"Shyvana Bot","date":"2015-10-21T00:53:22.720+0000","up_votes":1,"down_votes":0,"body":"A lot of the times you use vis ult for positioning. The damage is only a small factor of what makes that ult great. It can allows you to get to the backline pretty safely.","replies":[{"poster":"Manyula","date":"2015-10-21T05:04:10.156+0000","up_votes":1,"down_votes":1,"body":"oh yeah? Tell me more MR bronzelord Vi main. Because Vi really sticks to champions without ulting them.","replies":[{"poster":"Shyvana Bot","date":"2015-10-21T07:17:02.554+0000","up_votes":1,"down_votes":0,"body":"yeesh, way to attack the person not the argument. I never said vi didn't stick to champions. When was the last time you were fighting a person in melee and you ulted them. Vi's ult is usually to gap close onto their backline, and you try to position it so that you hit as many people on your way there. \n\nBut i guess personal attacks are easier than playing the champion. MR no vi games. Also consider this, ranked isn't the only way to play this game.","replies":[{"poster":"Manyula","date":"2015-10-22T08:57:34.811+0000","up_votes":1,"down_votes":0,"body":"Ranked is the only thing that matters.","replies":[{"poster":"Lord Sesshomaru","date":"2015-10-23T10:49:05.109+0000","up_votes":1,"down_votes":0,"body":"'Mattering' is a matter of perspective, if you don't care about being ranked in a system that is technically useless unless you're in the top 1% then ranked doesn't matter.","replies":[]}]}]}]}]},{"poster":"Lord Sesshomaru","date":"2015-10-20T23:52:39.936+0000","up_votes":1,"down_votes":0,"body":"The first time, i just needed to get close to her to try save my ally, and she was about to go out of range so it was my only option. the second time she ulted while i was in mid ult.","replies":[]}]},{"poster":"Talon12","date":"2015-10-21T13:17:34.429+0000","up_votes":1,"down_votes":0,"body":"its supposed to, because poppy ult stops other's cc aswell, and your ult is counted as cc and damage, so it will cd without damage and cc","replies":[{"poster":"Lord Sesshomaru","date":"2015-10-21T18:53:35.522+0000","up_votes":1,"down_votes":0,"body":"Yea it should cancel the damage and cc, but not stop me dashing to her.","replies":[{"poster":"Talon12","date":"2015-10-22T07:16:19.852+0000","up_votes":1,"down_votes":0,"body":"you never said anything about that, you just said before, never instant stop, before would sound more like getting infont of her and stopping","replies":[{"poster":"Lord Sesshomaru","date":"2015-10-22T08:49:36.044+0000","up_votes":1,"down_votes":0,"body":"\"your ult starts, then stops before you hit her\"\n\n\"but its not supposed to stop your ult as soon as it starts without even dashing.\"\n\ni did say it","replies":[{"poster":"Talon12","date":"2015-10-22T09:21:36.564+0000","up_votes":1,"down_votes":0,"body":"go on edit stuff and say you did it, still doesn't make a difference","replies":[{"poster":"Lord Sesshomaru","date":"2015-10-23T10:45:55.226+0000","up_votes":1,"down_votes":0,"body":"hahaha i haven't edited anything, don't blame me if you didn't read it right the first time xD","replies":[]}]}]}]}]}]},{"poster":"Roguestoney","date":"2015-10-20T22:03:27.543+0000","up_votes":1,"down_votes":0,"body":"Hmm very strange... Sounds like a bug to me.","replies":[]}]} |
{
"name": "test user",
"address": "http://localhost:8090"
} |
{
"id": 908051253,
"type": "Feature",
"properties": {
"addr:full":"26 Brandon Parade South Motherwell North Lanarkshire ML1 1RB",
"addr:housenumber":"26",
"addr:postcode":"ml1 1rb",
"addr:street":"Brandon Parade South",
"edtf:cessation":"uuuu",
"edtf:inception":"uuuu",
"geom:area":0.0,
"geom:area_square_m":0.0,
"geom:bbox":"-3.9909660816,55.7895469666,-3.9909660816,55.7895469666",
"geom:latitude":55.789547,
"geom:longitude":-3.990966,
"iso:country":"GB",
"mz:hierarchy_label":1,
"mz:is_current":-1,
"sg:address":"26 Brandon Parade South",
"sg:city":"Motherwell",
"sg:classifiers":[
{
"category":"Shopping",
"subcategory":"Department Store",
"type":"Retail Goods"
}
],
"sg:owner":"simplegeo",
"sg:phone":"+44 1698 259538",
"sg:postcode":"ML1 1RB",
"sg:province":"North Lanarkshire",
"src:geom":"simplegeo",
"wof:belongsto":[],
"wof:breaches":[],
"wof:concordances":{
"sg:id":"SG_05Ylzd64FE24O2qc221nt0_55.789547_-3.990966@1300740655"
},
"wof:country":"GB",
"wof:created":1471930267,
"wof:geomhash":"31c82f6663b026d944ada6a8ca8af492",
"wof:hierarchy":[],
"wof:id":908051253,
"wof:lastmodified":1496942759,
"wof:name":"Primark",
"wof:parent_id":-1,
"wof:placetype":"venue",
"wof:repo":"whosonfirst-data-venue-gb",
"wof:superseded_by":[],
"wof:supersedes":[],
"wof:tags":[]
},
"bbox": [
-3.9909660816,
55.7895469666,
-3.9909660816,
55.7895469666
],
"geometry": {"coordinates":[-3.9909660816,55.7895469666],"type":"Point"}
} |
{"poster":"Gambataiz","date":"2015-02-24T19:09:08.732+0000","title":"Team per 5 vs 5","subforum":"Discussioni generali","up_votes":1,"down_votes":0,"body":"Buona sera ragazzi, sono qua con una proposta a tutti voi amanti delle RankedTeam.\r\nIo ed un mio amico stiamo cercando un Toplaner, un Midlaner ed un jungler, (ovviamente in bot ci saremo noi)\r\nSiamo attualmente entrambi silver 4, winrate superiore a 50%\r\nPer chi fosse interessato mi contatti o sul gioco (GrandeGabri) o qua sotto sul forum o ancora su skype (grandegabri1)\r\nBuonaserata a tutti :D","replies":[{"poster":"Pidra2LaVendetta","date":"2015-02-25T14:53:25.593+0000","up_votes":1,"down_votes":0,"body":"Ciao, sono main TOP, gioco a LoL da 6 mesi e sono silver 1.\nDisponibile a giocare praticamente ogni sera dopo cena.\nIGN: Pidra2LaVendetta","replies":[]},{"poster":"Gambataiz","date":"2015-02-25T13:22:37.206+0000","up_votes":1,"down_votes":0,"body":"up (midlaner trovato)\n","replies":[]}]} |
["WebRtcIsacfix_EncTerminate"] |
{
"name": "@resin.io/types-mochainon",
"version": "2.0.1",
"dependencies": {
"@types/chai": "^4.0.1",
"@types/chai-as-promised": "0.0.31",
"@types/sinon": "^2.3.3"
},
"devDependencies": {
"@types/bluebird": "^3.5.8",
"bluebird": "^3.5.0",
"mochainon": "2.0.0"
},
"scripts": {
"test": "tslint **/*.ts && tsc",
"prepublish": "require-npm4-to-publish",
"prepublishOnly": "npm run test"
},
"repository": {
"type": "git",
"url": "https://github.com/resin-io-modules/ts-types"
}
}
|
{
"name": "mbonghanoy/phonebook",
"description": "phonebook oop",
"type": "library",
"authors": [
{
"name": "mbonghanoy",
"email": "bonghanoymark@gmail.com"
}
],
"autoload": {
"classmap": [
"src"
]
},
"repositories": [
{
"url": "https://github.com/mbonghanoy/vivid.git",
"type": "git"
}
],
"require": {
"mjohn/vivid" : "dev-master"
}
}
|
{"songs": [{"album": "Activated", "image": "https://images.genius.com/dbf64d5289adc1fb1c700f63f63dfe25.945x945x1.jpg", "year": "2018-05-11", "title": "Bloodas 2 Interlude", "lyrics": "[Verse 1: Tee Grizzley]\nI'm just curious, niggas can't be serious\nWoke up like, \"What year is it?\" Niggas on their period\nMy change done gave me somethin', it ain't no curin' it\nI seen Durk, I heard up close, bitch ain't no fear in it\n\n[Verse 2: Lil Durk]\nMy name superior\nBro and 'em be trappin'\nThey throwin' a couple hundreds just so you can deliver it\nYou said if he robbed you that you was gon' kill him\nI seen him today, I'm just curious\nI told her don't put me on child support, I'ma give extra but she wasn't hearin' it\nI take you around the killer, the robbers, the shooters just for the experience\n\n[Verse 3: Tee Grizzley]\nDon't try to dodge you, make up yo bed, you lay in it, niggas ain't hearin' it\nI get yo bitch in the Bentley, she gon' see some shit she never experienced\nI am a Captain, I get you crunched and put in a box, no cereal\nThis automatic hit that whip, nothing gon' help niggas short of a miracle\n\n[Verse 4: Lil Durk]\nTryna to make a million off a Bloodas tour but his P.O. not clearin' him\nTryna make a M and M but he couldn't do it and that shit was killin' him\nAnd I grew up in the ghetto, I ain't never hung around gentlemen\nBought the drugs, take the drugs, niggas in the hood ain't really tryna get it\nYou would be surprised what your brothers do (Uh)\nDon't be surprised for this Bloodas 2 (Uh)\nCouldn't feel my face when I popped that ecstasy\nCouldn't feel my face off Percs, I just took 3\n\n[Verse 5: Tee Grizzley & Lil Durk & Both]\nAnd my lil' bro could've died next to me (Ayy)\nBut I shot first, get him a stretcher please (Ayy)\nThem chopsticks got his body ten degrees (Ayy)\nSomeone should've told him we part Japanese (Ayy)\nBro by the mill, he tryna catch the weed (Ayy)\nThis bitch tryna get me to invest in weave (Ayy)\nI told her, \"Yes,\" just to finesse that freak (Ayy)\nAfter I fuck, I'm playin' hide and go seek\n\n[Verse 6: Lil Durk]\nI done been through so much shit in my life\nI be askin', \"When the pain stop?\"\nUsed to ride to school, Mongoose, now in a Range drop (Skrrt-skrrt)\nIs you is who you say you is?\nYou can't be who you is, you play with Grizz'\n\n[Verse 7: Tee Grizzley]\nYou play with Durkio, you pick out your box\nI'm good on my block, good on O-Block (Ayy)\nThey in they feelings 'cause I smoke on opps (Ayy)\nI hope they know 100 shots gon' stop\nI just been tryna save it, they keep on makin' it hard\nThey keep on makin' us jewelry, they keep on makin' these cars\nThat pump hit him, it's gon' lift him up and that nigga gon' make it to Mars\nOn track to confirm that shipment should make it tomorrow\n\n[Verse 8: Lil Durk]\n50 to 100 stacks on yo head, I bet you won't make it tomorrow\nLet me know your crib all night, no sleep, they drinkin' Starbucks\nI'm talkin' boss life, you say my name one time, I'ma tell 'em I fucked your boss wife\nI nut on her teeth, she wipe her face, I wore my Off-White\nI forgave you but that love made me (love made me)\nI popped some ecstasy that Thug gave me\nShout-out that new opp pack, my brothers made it\nDon't play with them boys 'cause they over crazy"}], "artist": "Tee Grizzley"} |
"<p>The ability to wake up every morning and to fall asleep at night is something that most people take for granted. However, damage to a brain region called the central thalamus can cause a range of consciousness-related disorders, including memory problems, excessive sleeping, and even comas. For example, cell death within the central thalamus has been associated with severely disabled patients following traumatic brain injury.</p><p>Previous studies have found that electrically stimulating the neurons in the central thalamus can change whether an animal is drowsy or awake and alert. However, it was not clear whether a single group of neurons in the central thalamus was responsible for switching the brain\u2019s state between sleep and wakefulness, or how this would work.</p><p>Liu, Lee, Weitz, Fang et al. have now used a technique called optogenetics to stimulate specific neurons in the central thalamus of rats, by using flashes of light. Stimulation was combined with several techniques to monitor the response of other brain regions, including fMRI imaging that shows the activity of the entire brain.</p><p>The results showed that rapidly stimulating the neurons in the central thalamus \u2013 40 or 100 times a second \u2013 led to widespread brain activity and caused sleeping rats to wake up. In contrast, stimulating the neurons of the central thalamus more slowly \u2013 around 10 times a second \u2013 suppressed the activity of part of the brain called the sensory cortex and caused rats to enter a seizure-like state of unconsciousness. Further investigation identified a group of inhibitory neurons that the central thalamus interacts with to carry out this suppression.</p><p>The results suggest that the central thalamus can either power the brain to an \u201cawake\u201d state or promote a state of unconsciousness, depending on how rapidly its neurons are stimulated. Future work will seek to translate these results to the clinic and investigate how stimulation of the central thalamus can be optimized to reduce cognitive deficits in animal models of traumatic brain injury.</p>" |
{
"id": 924137735,
"type": "Feature",
"properties": {
"addr:full":"57 Bower Place, Barming Maidstone Kent ME16 8BG",
"addr:housenumber":"57",
"addr:postcode":"me16 8bg",
"addr:street":"Bower Place",
"edtf:cessation":"uuuu",
"edtf:inception":"uuuu",
"geom:area":0.0,
"geom:area_square_m":0.0,
"geom:bbox":"0.509428978,51.2684669495,0.509428978,51.2684669495",
"geom:latitude":51.268467,
"geom:longitude":0.509429,
"iso:country":"GB",
"mz:hierarchy_label":1,
"mz:is_current":-1,
"sg:address":"57 Bower Place, Barming",
"sg:city":"Maidstone",
"sg:classifiers":[
{
"category":"Government",
"subcategory":"Post Office",
"type":"Public Place"
}
],
"sg:owner":"simplegeo",
"sg:phone":"+44 1622 662061",
"sg:postcode":"ME16 8BG",
"sg:province":"Kent",
"src:geom":"simplegeo",
"wof:belongsto":[
85633159,
85791409,
85684363
],
"wof:breaches":[],
"wof:concordances":{
"sg:id":"SG_49IncJUwn6Lxk3KBlJKo9F_51.268467_0.509429@1300740734"
},
"wof:country":"GB",
"wof:created":1471946562,
"wof:geomhash":"e1f6a9b254e99b53147e8b80fe11e540",
"wof:hierarchy":[
{
"country_id":85633159,
"neighbourhood_id":85791409,
"region_id":85684363,
"venue_id":924137735
}
],
"wof:id":924137735,
"wof:lastmodified":1496949410,
"wof:name":"Kirans P.O",
"wof:parent_id":85791409,
"wof:placetype":"venue",
"wof:repo":"whosonfirst-data-venue-gb",
"wof:superseded_by":[],
"wof:supersedes":[],
"wof:tags":[]
},
"bbox": [
0.509428978,
51.2684669495,
0.509428978,
51.2684669495
],
"geometry": {"coordinates":[0.509428978,51.2684669495],"type":"Point"}
} |
{"title":"CoPilot_EUROPE(8.0.0.662)","uid":5480098,"size":1860575263,"categoryP":"applications","categoryS":"handheld","magnet":"?xt=urn:btih:72fee6688890ba143177c1c3fa4a5f50d37a3a83&dn=CoPilot_EUROPE%288.0.0.662%29&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":0,"uploader":"matevz89","files":1,"time":1270380461,"description":"CoPilot 8.0.0.662 EUROPE\n\nCracked by Canolli\n\n\n\nEnjoy!","torrent":{"xt":"urn:btih:72fee6688890ba143177c1c3fa4a5f50d37a3a83","amp;dn":"CoPilot_EUROPE%288.0.0.662%29","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":"72fee6688890ba143177c1c3fa4a5f50d37a3a83","infoHashBuffer":{"type":"Buffer","data":[114,254,230,104,136,144,186,20,49,119,193,195,250,74,95,80,211,122,58,131]},"announce":[],"urlList":[]}} |
{
"component": {
"kind": "component",
"name": "azure-storage-datalake",
"title": "Azure Storage Datalake Service",
"description": "Sends and receives files to\/from Azure DataLake Storage.",
"deprecated": false,
"firstVersion": "3.8.0",
"label": "cloud,file,bigdata",
"javaType": "org.apache.camel.component.azure.storage.datalake.DataLakeComponent",
"supportLevel": "Stable",
"groupId": "org.apache.camel",
"artifactId": "camel-azure-storage-datalake",
"version": "4.0.0-SNAPSHOT",
"scheme": "azure-storage-datalake",
"extendsScheme": "",
"syntax": "azure-storage-datalake:accountName\/fileSystemName",
"async": false,
"api": false,
"consumerOnly": false,
"producerOnly": false,
"lenientProperties": false
},
"componentProperties": {
"accountKey": { "kind": "property", "displayName": "Account Key", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "account key for authentication" },
"clientId": { "kind": "property", "displayName": "Client Id", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "client id for azure account" },
"clientSecret": { "kind": "property", "displayName": "Client Secret", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "client secret for azure account" },
"clientSecretCredential": { "kind": "property", "displayName": "Client Secret Credential", "group": "common", "label": "", "required": false, "type": "object", "javaType": "com.azure.identity.ClientSecretCredential", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "client secret credential for authentication" },
"close": { "kind": "property", "displayName": "Close", "group": "common", "label": "", "required": false, "type": "boolean", "javaType": "java.lang.Boolean", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "Whether or not a file changed event raised indicates completion (true) or modification (false)" },
"closeStreamAfterRead": { "kind": "property", "displayName": "Close Stream After Read", "group": "common", "label": "", "required": false, "type": "boolean", "javaType": "java.lang.Boolean", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "check for closing stream after read" },
"configuration": { "kind": "property", "displayName": "Configuration", "group": "common", "label": "", "required": false, "type": "object", "javaType": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "deprecated": false, "autowired": false, "secret": false, "description": "configuration object for datalake" },
"dataCount": { "kind": "property", "displayName": "Data Count", "group": "common", "label": "", "required": false, "type": "integer", "javaType": "java.lang.Long", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "count number of bytes to download" },
"directoryName": { "kind": "property", "displayName": "Directory Name", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "directory of the file to be handled in component" },
"downloadLinkExpiration": { "kind": "property", "displayName": "Download Link Expiration", "group": "common", "label": "", "required": false, "type": "integer", "javaType": "java.lang.Long", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "download link expiration time" },
"expression": { "kind": "property", "displayName": "Expression", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "expression for queryInputStream" },
"fileDir": { "kind": "property", "displayName": "File Dir", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "directory of file to do operations in the local system" },
"fileName": { "kind": "property", "displayName": "File Name", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "name of file to be handled in component" },
"fileOffset": { "kind": "property", "displayName": "File Offset", "group": "common", "label": "", "required": false, "type": "integer", "javaType": "java.lang.Long", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "offset position in file for different operations" },
"maxResults": { "kind": "property", "displayName": "Max Results", "group": "common", "label": "", "required": false, "type": "integer", "javaType": "java.lang.Integer", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "maximum number of results to show at a time" },
"maxRetryRequests": { "kind": "property", "displayName": "Max Retry Requests", "group": "common", "label": "", "required": false, "type": "integer", "javaType": "int", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "no of retries to a given request" },
"openOptions": { "kind": "property", "displayName": "Open Options", "group": "common", "label": "", "required": false, "type": "object", "javaType": "java.util.Set<java.nio.file.OpenOption>", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "set open options for creating file" },
"path": { "kind": "property", "displayName": "Path", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "path in azure datalake for operations" },
"permission": { "kind": "property", "displayName": "Permission", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "permission string for the file" },
"position": { "kind": "property", "displayName": "Position", "group": "common", "label": "", "required": false, "type": "integer", "javaType": "java.lang.Long", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "This parameter allows the caller to upload data in parallel and control the order in which it is appended to the file." },
"recursive": { "kind": "property", "displayName": "Recursive", "group": "common", "label": "", "required": false, "type": "boolean", "javaType": "java.lang.Boolean", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "recursively include all paths" },
"regex": { "kind": "property", "displayName": "Regex", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "regular expression for matching file names" },
"retainUncommitedData": { "kind": "property", "displayName": "Retain Uncommited Data", "group": "common", "label": "", "required": false, "type": "boolean", "javaType": "java.lang.Boolean", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "Whether or not uncommitted data is to be retained after the operation" },
"serviceClient": { "kind": "property", "displayName": "Service Client", "group": "common", "label": "", "required": false, "type": "object", "javaType": "com.azure.storage.file.datalake.DataLakeServiceClient", "deprecated": false, "deprecationNote": "", "autowired": true, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "datalake service client for azure storage datalake" },
"sharedKeyCredential": { "kind": "property", "displayName": "Shared Key Credential", "group": "common", "label": "", "required": false, "type": "object", "javaType": "com.azure.storage.common.StorageSharedKeyCredential", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "shared key credential for azure datalake gen2" },
"tenantId": { "kind": "property", "displayName": "Tenant Id", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "tenant id for azure account" },
"timeout": { "kind": "property", "displayName": "Timeout", "group": "common", "label": "", "required": false, "type": "object", "javaType": "java.time.Duration", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "Timeout for operation" },
"umask": { "kind": "property", "displayName": "Umask", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "umask permission for file" },
"userPrincipalNameReturned": { "kind": "property", "displayName": "User Principal Name Returned", "group": "common", "label": "", "required": false, "type": "boolean", "javaType": "java.lang.Boolean", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "whether or not to use upn" },
"bridgeErrorHandler": { "kind": "property", "displayName": "Bridge Error Handler", "group": "consumer", "label": "consumer", "required": false, "type": "boolean", "javaType": "boolean", "deprecated": false, "autowired": false, "secret": false, "defaultValue": false, "description": "Allows for bridging the consumer to the Camel routing Error Handler, which mean any exceptions occurred while the consumer is trying to pickup incoming messages, or the likes, will now be processed as a message and handled by the routing Error Handler. By default the consumer will use the org.apache.camel.spi.ExceptionHandler to deal with exceptions, that will be logged at WARN or ERROR level and ignored." },
"lazyStartProducer": { "kind": "property", "displayName": "Lazy Start Producer", "group": "producer", "label": "producer", "required": false, "type": "boolean", "javaType": "boolean", "deprecated": false, "autowired": false, "secret": false, "defaultValue": false, "description": "Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel's routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing." },
"operation": { "kind": "property", "displayName": "Operation", "group": "producer", "label": "producer", "required": false, "type": "object", "javaType": "org.apache.camel.component.azure.storage.datalake.DataLakeOperationsDefinition", "enum": [ "listFileSystem", "listFiles" ], "deprecated": false, "autowired": false, "secret": false, "defaultValue": "listFileSystem", "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "operation to be performed" },
"autowiredEnabled": { "kind": "property", "displayName": "Autowired Enabled", "group": "advanced", "label": "advanced", "required": false, "type": "boolean", "javaType": "boolean", "deprecated": false, "autowired": false, "secret": false, "defaultValue": true, "description": "Whether autowiring is enabled. This is used for automatic autowiring options (the option must be marked as autowired) by looking up in the registry to find if there is a single instance of matching type, which then gets configured on the component. This can be used for automatic configuring JDBC data sources, JMS connection factories, AWS Clients, etc." }
},
"headers": {
"CamelAzureStorageDataLakeListFileSystemsOptions": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "ListFileSystemsOptions", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Defines options available to configure the behavior of a call to listFileSystemsSegment on a DataLakeServiceAsyncClient object. Null may be passed.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#LIST_FILESYSTEMS_OPTIONS" },
"CamelAzureStorageDataLakeTimeout": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "Duration", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "An optional timeout value beyond which a RuntimeException will be raised.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#TIMEOUT" },
"CamelAzureStorageDataLakeOperation": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "org.apache.camel.component.azure.storage.datalake.DataLakeOperationsDefinition", "enum": [ "listFileSystem", "createFileSystem", "deleteFileSystem", "listPaths", "getFile", "downloadToFile", "downloadLink", "deleteFile", "appendToFile", "flushToFile", "uploadFromFile", "upload", "openQueryInputStream", "createFile", "deleteDirectory" ], "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Specify the producer operation to execute. Different operations allowed are shown below.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#DATALAKE_OPERATION" },
"CamelAzureStorageDataLakeFileSystemName": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Name of the file system in azure datalake on which operation is to be performed. Please make sure that filesystem name is all lowercase.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#FILESYSTEM_NAME" },
"CamelAzureStorageDataLakeDirectoryName": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Name of the directory in azure datalake on which operation is to be performed.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#DIRECTORY_NAME" },
"CamelAzureStorageDataLakeFileName": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Name of the file in azure datalake on which operation is to be performed.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#FILE_NAME" },
"CamelAzureStorageDataLakeMetadata": { "kind": "header", "displayName": "", "group": "from both", "label": "from both", "required": false, "javaType": "Map<String, String>", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "The metadata to associate with the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#METADATA" },
"CamelAzureStorageDataLakePublicAccessType": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "PublicAccessType", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Defines options available to configure the behavior of a call to listFileSystemsSegment on a DataLakeServiceAsyncClient object.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#PUBLIC_ACCESS_TYPE" },
"CamelAzureStorageDataLakeRawHttpHeaders": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "HttpHeaders", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Non parsed http headers that can be used by the user.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#RAW_HTTP_HEADERS" },
"CamelAzureStorageDataLakeRequestCondition": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "DataLakeRequestConditions", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "This contains values which will restrict the successful operation of a variety of requests to the conditions present. These conditions are entirely optional.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#DATALAKE_REQUEST_CONDITION" },
"CamelAzureStorageDataLakeListPathOptions": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "ListPathOptions", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Defines options available to configure the behavior of a call to listContainersSegment on a DataLakeFileSystemClient object. Null may be passed.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#LIST_PATH_OPTIONS" },
"CamelAzureStorageDataLakePath": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Path of the file to be used for upload operations.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#PATH" },
"CamelAzureStorageDataLakeRecursive": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "Boolean", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Specifies if the call to listContainersSegment should recursively include all paths.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#RECURSIVE" },
"CamelAzureStorageDataLakeMaxResults": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "Integer", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Specifies the maximum number of blobs to return, including all BlobPrefix elements.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#MAX_RESULTS" },
"CamelAzureStorageDataLakeUserPrincipalNameReturned": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "Boolean", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Specifies if the name of the user principal should be returned.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#USER_PRINCIPAL_NAME_RETURNED" },
"CamelAzureStorageDataLakeRegex": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Filter the results to return only those files with match the specified regular expression.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#REGEX" },
"CamelAzureStorageDataLakeFileDir": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Directory in which the file is to be downloaded.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#FILE_DIR" },
"CamelAzureStorageDataLakeAccessTier": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "AccessTier", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Access tier of file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#ACCESS_TIER" },
"CamelAzureStorageDataLakeContentMD5": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "byte[]", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "An MD5 hash of the content. The hash is used to verify the integrity of the file during transport.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#CONTENT_MD5" },
"CamelAzureStorageDataLakeFileRange": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "FileRange", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "This is a representation of a range of bytes on a file, typically used during a download operation. Passing null as a FileRange value will default to the entire range of the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#FILE_RANGE" },
"CamelAzureStorageDataLakeParallelTransferOptions": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "ParallelTransferOptions", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "The configuration used to parallelize data transfer operations.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#PARALLEL_TRANSFER_OPTIONS" },
"CamelAzureStorageDataLakeOpenOptions": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "Set<OpenOption>", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Set of OpenOption used to configure how to open or create a file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#OPEN_OPTIONS" },
"CamelAzureStorageDataLakeAccessTierChangeTime": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "OffsetDateTime", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Datetime when the access tier of the blob last changed.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#ACCESS_TIER_CHANGE_TIME" },
"CamelAzureStorageDataLakeArchiveStatus": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "ArchiveStatus", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Archive status of file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#ARCHIVE_STATUS" },
"CamelAzureStorageDataLakeCacheControl": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Cache control specified for the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#CACHE_CONTROL" },
"CamelAzureStorageDataLakeContentDisposition": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Content disposition specified for the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#CONTENT_DISPOSITION" },
"CamelAzureStorageDataLakeContentEncoding": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Content encoding specified for the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#CONTENT_ENCODING" },
"CamelAzureStorageDataLakeContentLanguage": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Content language specified for the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#CONTENT_LANGUAGE" },
"CamelAzureStorageDataLakeContentType": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Content type specified for the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#CONTENT_TYPE" },
"CamelAzureStorageDataLakeCopyCompletionTime": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "OffsetDateTime", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Conclusion time of the last attempted Copy Blob operation where this file was the destination file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#COPY_COMPLETION_TIME" },
"CamelAzureStorageDataLakeCopyId": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "String identifier for this copy operation.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#COPY_ID" },
"CamelAzureStorageDataLakeCopyProgress": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Contains the number of bytes copied and the total bytes in the source in the last attempted Copy Blob operation where this file was the destination file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#COPY_PROGRESS" },
"CamelAzureStorageDataLakeCopySource": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "URL up to 2 KB in length that specifies the source file or file used in the last attempted Copy Blob operation where this file was the destination file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#COPY_SOURCE" },
"CamelAzureStorageDataLakeCopyStatus": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "com.azure.storage.file.datalake.models.CopyStatusType", "enum": [ "pending", "success", "aborted", "failed" ], "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Status of the last copy operation performed on the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#COPY_STATUS" },
"CamelAzureStorageDataLakeCopyStatusDescription": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "The description of the copy's status", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#COPY_STATUS_DESCRIPTION" },
"CamelAzureStorageDataLakeCreationTime": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "OffsetDateTime", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Creation time of the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#CREATION_TIME" },
"CamelAzureStorageDataLakeEncryptionKeySha256": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "The SHA-256 hash of the encryption key used to encrypt the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#ENCRYPTION_KEY_SHA_256" },
"CamelAzureStorageDataLakeETag": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "The E Tag of the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#E_TAG" },
"CamelAzureStorageDataLakeFileSize": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "Long", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Size of the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#FILE_SIZE" },
"CamelAzureStorageDataLakeLastModified": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "OffsetDateTime", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Datetime when the file was last modified.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#LAST_MODIFIED" },
"CamelAzureStorageDataLakeLeaseDuration": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "com.azure.storage.file.datalake.models.LeaseDurationType", "enum": [ "infinite", "fixed" ], "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Type of lease on the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#LEASE_DURATION" },
"CamelAzureStorageDataLakeLeaseState": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "com.azure.storage.file.datalake.models.LeaseStateType", "enum": [ "available", "leased", "expired", "breaking", "broken" ], "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "State of the lease on the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#LEASE_STATE" },
"CamelAzureStorageDataLakeLeaseStatus": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "com.azure.storage.file.datalake.models.LeaseStatusType", "enum": [ "locked", "unlocked" ], "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Status of the lease on the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#LEASE_STATUS" },
"CamelAzureStorageDataLakeIncrementalCopy": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "Boolean", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Flag indicating if the file was incrementally copied.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#INCREMENTAL_COPY" },
"CamelAzureStorageDataLakeServerEncrypted": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "Boolean", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Flag indicating if the file's content is encrypted on the server.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#SERVER_ENCRYPTED" },
"CamelAzureStorageDataLakeDownloadLinkExpiration": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "Long", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Set the Expiration time of the download link.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#DOWNLOAD_LINK_EXPIRATION" },
"CamelAzureStorageDataLakeDownloadLink": { "kind": "header", "displayName": "", "group": "from component", "label": "from component", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "The link that can be used to download the file from datalake.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#DOWNLOAD_LINK" },
"CamelAzureStorageDataLakeFileOffset": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "Long", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "The position where the data is to be appended.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#FILE_OFFSET" },
"CamelAzureStorageDataLakeLeaseId": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "By setting lease id, requests will fail if the provided lease does not match the active lease on the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#LEASE_ID" },
"CamelAzureStorageDataLakePathHttpHeaders": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "PathHttpHeaders", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Additional parameters for a set of operations.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#PATH_HTTP_HEADERS" },
"CamelAzureStorageDataLakeRetainCommitedData": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "Boolean", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Determines Whether or not uncommitted data is to be retained after the operation.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#RETAIN_UNCOMMITED_DATA" },
"CamelAzureStorageDataLakeClose": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "Boolean", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Whether or not a file changed event raised indicates completion (true) or modification (false).", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#CLOSE" },
"CamelAzureStorageDataLakePosition": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "Long", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "The length of the file after all data has been written.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#POSITION" },
"CamelAzureStorageDataLakeExpression": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "The query expression on the file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#EXPRESSION" },
"CamelAzureStorageDataLakeInputSerialization": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "FileQuerySerialization", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Defines the input serialization for a file query request. either FileQueryJsonSerialization or FileQueryDelimitedSerialization", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#INPUT_SERIALIZATION" },
"CamelAzureStorageDataLakeOutputSerialization": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "FileQuerySerialization", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Defines the output serialization for a file query request. either FileQueryJsonSerialization or FileQueryDelimitedSerialization", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#OUTPUT_SERIALIZATION" },
"CamelAzureStorageDataLakeErrorConsumer": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "Consumer<FileQueryError>", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Sets error consumer for file query", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#ERROR_CONSUMER" },
"CamelAzureStorageDataLakeProgressConsumer": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "Consumer<FileQueryProgress>", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Sets progress consumer for file query", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#PROGRESS_CONSUMER" },
"CamelAzureStorageDataLakeQueryOptions": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "FileQueryOptions", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Optional parameters for File Query.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#QUERY_OPTIONS" },
"CamelAzureStorageDataLakePermission": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Sets the permission for file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#PERMISSION" },
"CamelAzureStorageDataLakeUmask": { "kind": "header", "displayName": "", "group": "from user", "label": "from user", "required": false, "javaType": "String", "deprecated": false, "deprecationNote": "", "autowired": false, "secret": false, "description": "Sets the umask for file.", "constantName": "org.apache.camel.component.azure.storage.datalake.DataLakeConstants#UMASK" }
},
"properties": {
"accountName": { "kind": "path", "displayName": "Account Name", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "name of the azure account" },
"fileSystemName": { "kind": "path", "displayName": "File System Name", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "name of filesystem to be used" },
"accountKey": { "kind": "parameter", "displayName": "Account Key", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "account key for authentication" },
"clientId": { "kind": "parameter", "displayName": "Client Id", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "client id for azure account" },
"clientSecret": { "kind": "parameter", "displayName": "Client Secret", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "client secret for azure account" },
"clientSecretCredential": { "kind": "parameter", "displayName": "Client Secret Credential", "group": "common", "label": "", "required": false, "type": "object", "javaType": "com.azure.identity.ClientSecretCredential", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "client secret credential for authentication" },
"close": { "kind": "parameter", "displayName": "Close", "group": "common", "label": "", "required": false, "type": "boolean", "javaType": "java.lang.Boolean", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "Whether or not a file changed event raised indicates completion (true) or modification (false)" },
"closeStreamAfterRead": { "kind": "parameter", "displayName": "Close Stream After Read", "group": "common", "label": "", "required": false, "type": "boolean", "javaType": "java.lang.Boolean", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "check for closing stream after read" },
"dataCount": { "kind": "parameter", "displayName": "Data Count", "group": "common", "label": "", "required": false, "type": "integer", "javaType": "java.lang.Long", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "count number of bytes to download" },
"dataLakeServiceClient": { "kind": "parameter", "displayName": "Data Lake Service Client", "group": "common", "label": "", "required": false, "type": "object", "javaType": "com.azure.storage.file.datalake.DataLakeServiceClient", "deprecated": false, "autowired": false, "secret": false, "description": "service client of datalake" },
"directoryName": { "kind": "parameter", "displayName": "Directory Name", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "directory of the file to be handled in component" },
"downloadLinkExpiration": { "kind": "parameter", "displayName": "Download Link Expiration", "group": "common", "label": "", "required": false, "type": "integer", "javaType": "java.lang.Long", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "download link expiration time" },
"expression": { "kind": "parameter", "displayName": "Expression", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "expression for queryInputStream" },
"fileDir": { "kind": "parameter", "displayName": "File Dir", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "directory of file to do operations in the local system" },
"fileName": { "kind": "parameter", "displayName": "File Name", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "name of file to be handled in component" },
"fileOffset": { "kind": "parameter", "displayName": "File Offset", "group": "common", "label": "", "required": false, "type": "integer", "javaType": "java.lang.Long", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "offset position in file for different operations" },
"maxResults": { "kind": "parameter", "displayName": "Max Results", "group": "common", "label": "", "required": false, "type": "integer", "javaType": "java.lang.Integer", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "maximum number of results to show at a time" },
"maxRetryRequests": { "kind": "parameter", "displayName": "Max Retry Requests", "group": "common", "label": "", "required": false, "type": "integer", "javaType": "int", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "no of retries to a given request" },
"openOptions": { "kind": "parameter", "displayName": "Open Options", "group": "common", "label": "", "required": false, "type": "object", "javaType": "java.util.Set<java.nio.file.OpenOption>", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "set open options for creating file" },
"path": { "kind": "parameter", "displayName": "Path", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "path in azure datalake for operations" },
"permission": { "kind": "parameter", "displayName": "Permission", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "permission string for the file" },
"position": { "kind": "parameter", "displayName": "Position", "group": "common", "label": "", "required": false, "type": "integer", "javaType": "java.lang.Long", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "This parameter allows the caller to upload data in parallel and control the order in which it is appended to the file." },
"recursive": { "kind": "parameter", "displayName": "Recursive", "group": "common", "label": "", "required": false, "type": "boolean", "javaType": "java.lang.Boolean", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "recursively include all paths" },
"regex": { "kind": "parameter", "displayName": "Regex", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "regular expression for matching file names" },
"retainUncommitedData": { "kind": "parameter", "displayName": "Retain Uncommited Data", "group": "common", "label": "", "required": false, "type": "boolean", "javaType": "java.lang.Boolean", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "Whether or not uncommitted data is to be retained after the operation" },
"serviceClient": { "kind": "parameter", "displayName": "Service Client", "group": "common", "label": "", "required": false, "type": "object", "javaType": "com.azure.storage.file.datalake.DataLakeServiceClient", "deprecated": false, "deprecationNote": "", "autowired": true, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "datalake service client for azure storage datalake" },
"sharedKeyCredential": { "kind": "parameter", "displayName": "Shared Key Credential", "group": "common", "label": "", "required": false, "type": "object", "javaType": "com.azure.storage.common.StorageSharedKeyCredential", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "shared key credential for azure datalake gen2" },
"tenantId": { "kind": "parameter", "displayName": "Tenant Id", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "tenant id for azure account" },
"timeout": { "kind": "parameter", "displayName": "Timeout", "group": "common", "label": "", "required": false, "type": "object", "javaType": "java.time.Duration", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "Timeout for operation" },
"umask": { "kind": "parameter", "displayName": "Umask", "group": "common", "label": "", "required": false, "type": "string", "javaType": "java.lang.String", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "umask permission for file" },
"userPrincipalNameReturned": { "kind": "parameter", "displayName": "User Principal Name Returned", "group": "common", "label": "", "required": false, "type": "boolean", "javaType": "java.lang.Boolean", "deprecated": false, "autowired": false, "secret": false, "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "whether or not to use upn" },
"sendEmptyMessageWhenIdle": { "kind": "parameter", "displayName": "Send Empty Message When Idle", "group": "consumer", "label": "consumer", "required": false, "type": "boolean", "javaType": "boolean", "deprecated": false, "autowired": false, "secret": false, "defaultValue": false, "description": "If the polling consumer did not poll any files, you can enable this option to send an empty message (no body) instead." },
"bridgeErrorHandler": { "kind": "parameter", "displayName": "Bridge Error Handler", "group": "consumer (advanced)", "label": "consumer,advanced", "required": false, "type": "boolean", "javaType": "boolean", "deprecated": false, "autowired": false, "secret": false, "defaultValue": false, "description": "Allows for bridging the consumer to the Camel routing Error Handler, which mean any exceptions occurred while the consumer is trying to pickup incoming messages, or the likes, will now be processed as a message and handled by the routing Error Handler. By default the consumer will use the org.apache.camel.spi.ExceptionHandler to deal with exceptions, that will be logged at WARN or ERROR level and ignored." },
"exceptionHandler": { "kind": "parameter", "displayName": "Exception Handler", "group": "consumer (advanced)", "label": "consumer,advanced", "required": false, "type": "object", "javaType": "org.apache.camel.spi.ExceptionHandler", "optionalPrefix": "consumer.", "deprecated": false, "autowired": false, "secret": false, "description": "To let the consumer use a custom ExceptionHandler. Notice if the option bridgeErrorHandler is enabled then this option is not in use. By default the consumer will deal with exceptions, that will be logged at WARN or ERROR level and ignored." },
"exchangePattern": { "kind": "parameter", "displayName": "Exchange Pattern", "group": "consumer (advanced)", "label": "consumer,advanced", "required": false, "type": "object", "javaType": "org.apache.camel.ExchangePattern", "enum": [ "InOnly", "InOut" ], "deprecated": false, "autowired": false, "secret": false, "description": "Sets the exchange pattern when the consumer creates an exchange." },
"pollStrategy": { "kind": "parameter", "displayName": "Poll Strategy", "group": "consumer (advanced)", "label": "consumer,advanced", "required": false, "type": "object", "javaType": "org.apache.camel.spi.PollingConsumerPollStrategy", "deprecated": false, "autowired": false, "secret": false, "description": "A pluggable org.apache.camel.PollingConsumerPollingStrategy allowing you to provide your custom implementation to control error handling usually occurred during the poll operation before an Exchange have been created and being routed in Camel." },
"operation": { "kind": "parameter", "displayName": "Operation", "group": "producer", "label": "producer", "required": false, "type": "object", "javaType": "org.apache.camel.component.azure.storage.datalake.DataLakeOperationsDefinition", "enum": [ "listFileSystem", "listFiles" ], "deprecated": false, "autowired": false, "secret": false, "defaultValue": "listFileSystem", "configurationClass": "org.apache.camel.component.azure.storage.datalake.DataLakeConfiguration", "configurationField": "configuration", "description": "operation to be performed" },
"lazyStartProducer": { "kind": "parameter", "displayName": "Lazy Start Producer", "group": "producer (advanced)", "label": "producer,advanced", "required": false, "type": "boolean", "javaType": "boolean", "deprecated": false, "autowired": false, "secret": false, "defaultValue": false, "description": "Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel's routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing." },
"backoffErrorThreshold": { "kind": "parameter", "displayName": "Backoff Error Threshold", "group": "scheduler", "label": "consumer,scheduler", "required": false, "type": "integer", "javaType": "int", "deprecated": false, "autowired": false, "secret": false, "description": "The number of subsequent error polls (failed due some error) that should happen before the backoffMultipler should kick-in." },
"backoffIdleThreshold": { "kind": "parameter", "displayName": "Backoff Idle Threshold", "group": "scheduler", "label": "consumer,scheduler", "required": false, "type": "integer", "javaType": "int", "deprecated": false, "autowired": false, "secret": false, "description": "The number of subsequent idle polls that should happen before the backoffMultipler should kick-in." },
"backoffMultiplier": { "kind": "parameter", "displayName": "Backoff Multiplier", "group": "scheduler", "label": "consumer,scheduler", "required": false, "type": "integer", "javaType": "int", "deprecated": false, "autowired": false, "secret": false, "description": "To let the scheduled polling consumer backoff if there has been a number of subsequent idles\/errors in a row. The multiplier is then the number of polls that will be skipped before the next actual attempt is happening again. When this option is in use then backoffIdleThreshold and\/or backoffErrorThreshold must also be configured." },
"delay": { "kind": "parameter", "displayName": "Delay", "group": "scheduler", "label": "consumer,scheduler", "required": false, "type": "integer", "javaType": "long", "deprecated": false, "autowired": false, "secret": false, "defaultValue": 500, "description": "Milliseconds before the next poll." },
"greedy": { "kind": "parameter", "displayName": "Greedy", "group": "scheduler", "label": "consumer,scheduler", "required": false, "type": "boolean", "javaType": "boolean", "deprecated": false, "autowired": false, "secret": false, "defaultValue": false, "description": "If greedy is enabled, then the ScheduledPollConsumer will run immediately again, if the previous run polled 1 or more messages." },
"initialDelay": { "kind": "parameter", "displayName": "Initial Delay", "group": "scheduler", "label": "consumer,scheduler", "required": false, "type": "integer", "javaType": "long", "deprecated": false, "autowired": false, "secret": false, "defaultValue": 1000, "description": "Milliseconds before the first poll starts." },
"repeatCount": { "kind": "parameter", "displayName": "Repeat Count", "group": "scheduler", "label": "consumer,scheduler", "required": false, "type": "integer", "javaType": "long", "deprecated": false, "autowired": false, "secret": false, "defaultValue": 0, "description": "Specifies a maximum limit of number of fires. So if you set it to 1, the scheduler will only fire once. If you set it to 5, it will only fire five times. A value of zero or negative means fire forever." },
"runLoggingLevel": { "kind": "parameter", "displayName": "Run Logging Level", "group": "scheduler", "label": "consumer,scheduler", "required": false, "type": "object", "javaType": "org.apache.camel.LoggingLevel", "enum": [ "TRACE", "DEBUG", "INFO", "WARN", "ERROR", "OFF" ], "deprecated": false, "autowired": false, "secret": false, "defaultValue": "TRACE", "description": "The consumer logs a start\/complete log line when it polls. This option allows you to configure the logging level for that." },
"scheduledExecutorService": { "kind": "parameter", "displayName": "Scheduled Executor Service", "group": "scheduler", "label": "consumer,scheduler", "required": false, "type": "object", "javaType": "java.util.concurrent.ScheduledExecutorService", "deprecated": false, "autowired": false, "secret": false, "description": "Allows for configuring a custom\/shared thread pool to use for the consumer. By default each consumer has its own single threaded thread pool." },
"scheduler": { "kind": "parameter", "displayName": "Scheduler", "group": "scheduler", "label": "consumer,scheduler", "required": false, "type": "object", "javaType": "java.lang.Object", "deprecated": false, "autowired": false, "secret": false, "defaultValue": "none", "description": "To use a cron scheduler from either camel-spring or camel-quartz component. Use value spring or quartz for built in scheduler" },
"schedulerProperties": { "kind": "parameter", "displayName": "Scheduler Properties", "group": "scheduler", "label": "consumer,scheduler", "required": false, "type": "object", "javaType": "java.util.Map<java.lang.String, java.lang.Object>", "prefix": "scheduler.", "multiValue": true, "deprecated": false, "autowired": false, "secret": false, "description": "To configure additional properties when using a custom scheduler or any of the Quartz, Spring based scheduler." },
"startScheduler": { "kind": "parameter", "displayName": "Start Scheduler", "group": "scheduler", "label": "consumer,scheduler", "required": false, "type": "boolean", "javaType": "boolean", "deprecated": false, "autowired": false, "secret": false, "defaultValue": true, "description": "Whether the scheduler should be auto started." },
"timeUnit": { "kind": "parameter", "displayName": "Time Unit", "group": "scheduler", "label": "consumer,scheduler", "required": false, "type": "object", "javaType": "java.util.concurrent.TimeUnit", "enum": [ "NANOSECONDS", "MICROSECONDS", "MILLISECONDS", "SECONDS", "MINUTES", "HOURS", "DAYS" ], "deprecated": false, "autowired": false, "secret": false, "defaultValue": "MILLISECONDS", "description": "Time unit for initialDelay and delay options." },
"useFixedDelay": { "kind": "parameter", "displayName": "Use Fixed Delay", "group": "scheduler", "label": "consumer,scheduler", "required": false, "type": "boolean", "javaType": "boolean", "deprecated": false, "autowired": false, "secret": false, "defaultValue": true, "description": "Controls if fixed delay or fixed rate is used. See ScheduledExecutorService in JDK for details." }
}
}
|
[
{
"id": 1,
"name": "Member"
},
{
"id": 2,
"name": "Supplier"
}
]
|
{"Reviews": [{"Author": "Rose M.", "ReviewID": "cKKeUVRm_oXqMGDcZBhQ3w", "Overall": "3.0", "Content": "This is what you expect bar food to be. Perfectly average except for one defining feature. It was clean! No seriously, no stereotypical nasty grunge sports bar here. Music selection- 1980's mix of rockFood- wings were mild when expecting medium. Nachos were typical made from canned chili. Corn poppers were great. Total came to $28 for all three. Pool tables, darts, large TVs full of sports and a full bar.", "Date": "2014-02-04", "Author_Location": "Northside, Jacksonville, FL"}, {"Author": "Chris B.", "ReviewID": "YMdYCABO_-xeuc8Gv0eWbg", "Overall": "1.0", "Content": "Not a good visit, food came in spurts. Fries all were overcooked and crunchy, had to get up and get our own silverware. I would have been more understanding if they were busy, \u00a0but 6 tables including ours is not busy. From order to first plate took 40 minutes.", "Date": "2014-05-04", "Author_Location": "Folkston, GA"}, {"Author": "Kathy T.", "ReviewID": "1RKl0_PmVr_mGEtlkpcCFg", "Overall": "1.0", "Content": "Probably worst service ever. Called ahead for take out. Got there and they have no record of order for 10 mins. Then they find it with no apology. Was charged .70 for a small ranch that may have a tablespoon it.Noooo would you like a drink. Noooo would you like an extra 10 wings. Nooooo here is a \u00a0coupon for your next visit.", "Date": "2014-02-02", "Author_Location": "Jacksonville, FL"}, {"Author": "Daniel E.", "ReviewID": "W_yM23W0hacRqjgYAuq51g", "Overall": "1.0", "Content": "Just ate here today and after seeing the ACA surcharge, which is obviously a political statement, I'm not coming back. Seriously, stop being whinny- care for your employees with honor. Oh, and the food was mediocre.", "Date": "2014-05-07", "Author_Location": "Jacksonville, FL"}, {"Author": "Don R.", "ReviewID": "EQNpO5y5_06nfJJTn-Onsg", "Overall": "1.0", "Content": "I can't begin to tell you how furious I am about being ripped off by this restaurant. Imagine my surprise when there was a 1% AFA (Affordable Care Act) surcharge on my bill. \u00a0It's not an industry standard charge and should be disclosed blatantly so that customers are not misled. \u00a0I asked about the charge and it's supposed to be a non-political statement and a surcharge for providing health insurance to employees. \u00a0Not only did they rip me off, but they lied to my face. \u00a0When JEA charges more for utilities, do you see a water, electric, sewer surcharge on your check? \u00a0When the cost of gas goes up, do you see a food transportation surcharge on your check? \u00a0You get the idea. \u00a0If cost of doing business increases, then raise your prices. \u00a0Don't add lines of surcharges to my check, which are in addition to the menu prices, just to make a political statement about Obamacare. \u00a0The wings were average, but being charged in excess of the menu prices, and lied to by the staff, makes this an entire chain I will not be going back to. \u00a0Maybe other customers will flock here to join in making their non-political statement, but the cost of obtaining me as a customer is money they've washed down the drain along with their reputation.", "Date": "2014-02-28", "Author_Location": "Jacksonville, FL"}, {"Author": "RIKETA C.", "ReviewID": "RPsDlwV8h4gCXthzp9RCXQ", "Overall": "4.0", "Content": "This place just happened to be down the road from my hotel and I decided to stop in here with a friend of mine because we were in the mood for wings and beer. \u00a0There was a 10 wing/pitcher of beer special for $12.95 (because Jacksonville's team was playing that day) \u00a0which I thought was a great deal, so that is what we ordered. \u00a0I wanted to try the breaded wings, and the grilled wings and they were both great. I also tried the cheese garlic bread which was really good too. (Needed something to soak up the liquor....)The servcie was fast, and my the 2 cocktails that I ordered were strong. \u00a0 There were plenty of pool tables and a ton of huge flat screens with different games on. \u00a0The hostess seated up according to which game we wanted to watch. I had a great time here and would recommend it for out of towners. \u00a0I think that the sportsbars in Atlanta are a lot more fun because there are DJs in between sets, and more lively crowds but for Jacksonville this is fine.", "Date": "2011-01-30", "Author_Location": "Smyrna, GA"}, {"Author": "Todd A.", "ReviewID": "W6MByryAtfdRZFT5xZkdBg", "Overall": "5.0", "Content": "Best wings I've ever had..... mmmmm. \u00a0The interior is not that impressive. \u00a0Service was good.", "Date": "2013-10-04", "Author_Location": "Jacksonville, FL"}, {"Author": "Jose P.", "ReviewID": "zN2S74nf-FVY9yabEcofqg", "Overall": "4.0", "Content": "I visited GD's for lunch again this past week as I have many times before. \u00a0The food was good, the service was fast, and there are plenty of tv's. \u00a0I always get the Gyros which are two overstuffed pitas of grilled lamb & beef, tzatziki sauce and topped with lettuce, tomato and onion. \u00a0I always get it with a side of broccoli and it's ALWAYS been a homerun. \u00a0Fresh tasting and hot. \u00a0My colleagues have never been disappointed in the wings and fries. \u00a0They look good just never tried them myself. \u00a0If your looking for a good food and fast service when your in a crunch for time during lunch this is must check out establishment.", "Date": "2010-03-14", "Author_Location": "Miami, FL"}, {"Author": "Jon R.", "ReviewID": "kxxErLzZFvpId-69kFLESA", "Overall": "3.0", "Content": "Gator's Dockside is a sports bar. \u00a0Period.That's not meant to be derogatory, but does carry all of the baggage and implications that calling yourself a sports bar brings along.Has a good full bar, pool tables, darts, some arcade machines & pinball, plus seating is split between high-tops, tables and picnic-table-style booths.Food is acceptable but nothing to write home about. \u00a0I'll often have the weekday wing special (10 wings, fries and a drink for about $10) when I drop in for lunch. \u00a0If time were not an issue, I'd go elsewhere for wings, but they're adequate here.All-in-all, there's nothing wrong with Gator's, average or above on all counts, but for everything they do, there's a competitor a short drive away that probably does it better.", "Date": "2009-09-14", "Author_Location": "Jacksonville, FL"}, {"Author": "Bob S.", "ReviewID": "JYMiayhZ18cfDhBscBAzpw", "Overall": "3.0", "Content": "When I worked in the area, I'd eat at Gators probably once a week at lunch. \u00a0Now I get by every month or two. \u00a0The food is above passable, as long as your expectations are for \"bar food.\" \u00a0Burgers, wings, sandwiches...The service is usally pretty good, occasionally a server would be clueless, or just having an off-day. There is an outside patio for the smokers and sun-lovers.They currrently host live trivia on Thursdays, 7p-9p. \u00a03.5 stars.", "Date": "2012-07-21", "Author_Location": "Jacksonville, FL"}, {"Author": "Jorge U.", "ReviewID": "SpbeFc8RymxUJBn7yQ-gZQ", "Overall": "1.0", "Content": "After having so many good experiences at the Gator's Dockside in Gainesville, I was pleased to see this place in a convenient location. \u00a0My first visit I ordered baby back ribs and they were horribly overwhelmingly salty. \u00a0It was like someone dumped an entire shaker of salt on them. Then it took 20 minutes to flag down the server to send them back. Hoping it was just an off night we've been back a few more times and things never got much better. There's much better bar food to be found elsewhere in Jacksonville. \u00a0Service is spotty at best -- expect to wait for drink refills even if they aren't busy. \u00a0While most of the TVs are fine, some of them are extremely old -- we're talking CRT here -- and the picture quality is terrible on them.", "Date": "2013-03-25", "Author_Location": "Gainesville, FL"}, {"Author": "Shanti N.", "ReviewID": "06gzyBRO9Dj32AcHhcntlA", "Overall": "1.0", "Content": "gag from the grease.", "Date": "2014-02-28", "Author_Location": "Savannah, GA"}, {"Author": "Kilo L.", "ReviewID": "F2Vh-N4DFYgn8Rh3yFAbvw", "Overall": "1.0", "Content": "If I could give minus stars I would. I went there for UFC fight night. Very limited beer selection. Every food there is fried. I'd ask for something not fried and the only option wasn't available if I didn't want to eat salat. The tv's are limited too. Old TV's depending on where u sit you might not be able to see anything. Here is the kicker during my trip I used my credit card only ones and that was to pay $13 in that awful place. I came home and suddenly I had 10k on my card yes $10,000 for some charity. Weird isn't it, obviously my bank called me. Even tho I am a giving person but ..... Not sure what happened here", "Date": "2013-01-17", "Author_Location": "TOLUCA TER, CA"}, {"Author": "Ally F.", "ReviewID": "sW9gZm0jdmGLFfNRC49upw", "Overall": "4.0", "Content": "Went on all you can eat wings night, 11 or 12 dollars which was great considering my husband and I ate about 55 wings... Breaded scooter and garlic parmesan are the best. The first pitcher of Bud light we got was flat but we switched to Yuengling without a problem and it was fine. Our server was great, and we would definitely return. You can find their good deals on their facebook page.", "Date": "2011-04-22", "Author_Location": "Jacksonville, FL"}, {"Author": "Robert D.", "ReviewID": "VyOGhvceZsKPsWavJji-6A", "Overall": "5.0", "Content": "The best Philly cheese steak sub I've ever had. Plenty of TVs for games", "Date": "2010-07-10", "Author_Location": "North Port, FL"}, {"Author": "George M.", "ReviewID": "RakBS117XisZu7pCFDFAFg", "Overall": "1.0", "Content": "OK wings, If you don't mind waiting a few hours. Very poor service. We went when it was all you can eat wings and after taking 15-20 min to place our first order, we never heard from anyone again. We had to keep hunting people down to find out our status. We kept on being told \"Next order out is yours\" however we saw tables around us that sat after us getting their 1st and 2nd orders. We at one point couldn't find our server so asked another server and she said \"That is not my section, you will have to find your server\". After over an hour waiting and never getting even one order of wings (or even drink refills) we decided to leave. When we complained to the manager he didn't care at all. Also commented on their Facebook Page and the post was just deleted. No one there cares about customer service.", "Date": "2011-09-14", "Author_Location": "Jacksonville, FL"}, {"Author": "Susan H.", "ReviewID": "vulaEo-QHVoGj5SCUBB2jw", "Overall": "3.0", "Content": "Went there at lunch for something quick. \u00a0Inside it looked like a chain that was missing ambiance. \u00a0The computer was down so they told me i could only order so and so. \u00a0I ordered the pulled pork barbeque sandwich. \u00a0It was delish!", "Date": "2013-02-09", "Author_Location": "Lewisville, TX"}], "RestaurantInfo": {"RestaurantID": "ZRaAthZYmp-YxIQJokuCJA", "Name": "Gator\u2019s Dockside", "Price": "$$", "RestaurantURL": "/biz/gators-dockside-jacksonville-2", "Longitude": " -81.57841899999999", "Address": "8650 Baymeadows RdJacksonville, FL 32256", "Latitude": " 30.220739300000002", "ImgURL": "//s3-media4.fl.yelpcdn.com/bphoto/4ifRLTUe7cYcZxFh7UixTA/90s.jpg"}} |
{
"src_ip": "198.211.106.91",
"count": "193471",
"autonomous_system": "DigitalOcean, LLC"
}
{
"src_ip": "46.17.47.82",
"count": "131675",
"autonomous_system": "LLC Baxet"
}
{
"src_ip": "198.199.82.13",
"count": "62925",
"autonomous_system": "DigitalOcean, LLC"
}
{
"src_ip": "142.93.242.150",
"count": "54769"
}
{
"src_ip": "68.183.65.56",
"count": "46596",
"autonomous_system": "DSL Extreme"
}
{
"src_ip": "198.211.113.55",
"count": "46017",
"autonomous_system": "DigitalOcean, LLC"
}
{
"src_ip": "89.34.237.102",
"count": "35863",
"autonomous_system": "Netaction Telecom Srl-d"
}
{
"src_ip": "104.248.4.226",
"count": "35434",
"autonomous_system": "Cloud South"
}
{
"src_ip": "185.246.154.186",
"count": "34485"
}
{
"src_ip": "68.183.140.77",
"count": "31035",
"autonomous_system": "DSL Extreme"
}
{
"src_ip": "128.199.37.33",
"count": "28423",
"autonomous_system": "DigitalOcean, LLC"
}
{
"src_ip": "159.65.86.177",
"count": "16286",
"autonomous_system": "DigitalOcean, LLC"
}
{
"src_ip": "178.132.3.14",
"count": "16213",
"autonomous_system": "WorldStream B.V."
}
{
"src_ip": "178.128.55.107",
"count": "15538",
"autonomous_system": "Forthnet"
}
{
"src_ip": "165.227.147.199",
"count": "10343",
"autonomous_system": "DigitalOcean, LLC"
}
{
"src_ip": "188.166.105.74",
"count": "7006",
"autonomous_system": "DigitalOcean, LLC"
}
{
"src_ip": "89.34.237.142",
"count": "6952",
"autonomous_system": "Netaction Telecom Srl-d"
}
{
"src_ip": "168.235.83.248",
"count": "6779",
"autonomous_system": "RamNode LLC"
}
{
"src_ip": "149.28.81.126",
"count": "4885",
"autonomous_system": "Cogent Communications"
}
{
"src_ip": "46.29.164.152",
"count": "4791"
}
|
{"poster":"KFCeytron","date":"2019-01-21T03:20:41.296+0000","title":"Idea to boost esports views: critical view!","subforum":"Esports","up_votes":1,"down_votes":1,"body":"The current missions to watch esports videos are okay, but kind of bland (watch a game, watch 12 games, etc.), and the incentive from payout drops to zero once you finish the missions, even though there might be more content available. What if you could get basic rewards for ordinary views, but your account has a chance to "critically view" a video (no practical difference, just a special kind of credit) for special rewards? Riot could even sell "items" to increase your "crit chance" for anywhere from a handful of games to a whole season, to help you increase your likelihood of finishing the fancy bonus missions in time and not having to rewatch as many VODs.\r\n\r\nThis would boost esports viewership and engagement in addition to providing secondary sales on the new merchandise, demonstrating a clear uptick in esports interest!\r\n\r\n{{sticker:garen-swing}}","replies":[{"poster":"miniquandt","date":"2019-01-22T20:38:40.938+0000","up_votes":1,"down_votes":1,"body":"They would never do the \"Watch esports to get more Crit/dmg\" because that would essentially be pay to win. But instead of paying with Currency you are paying with time. Also people would just let them run in the back ground and their viewership numbers would just be inflated. people would be placing the videos in the background and not watching them just to get the bonus. \n\nWhat they could do is create a icon, emote, or a border of some kind from your \"Critical View\" or credit.","replies":[{"poster":"KFCeytron","date":"2019-01-22T20:56:30.160+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=miniquandt,realm=NA,application-id=9hBQwnEU,discussion-id=tMllccVJ,comment-id=0000,timestamp=2019-01-22T20:38:40.938+0000)\n>\n> They would never do the "Watch esports to get more Crit/dmg" because that would essentially be pay to win. But instead of paying with Currency you are paying with time. Also people would just let them run in the back ground and their viewership numbers would just be inflated. people would be placing the videos in the background and not watching them just to get the bonus. \n> \n> What they could do is create a icon, emote, or a border of some kind from your "Critical View" or credit.\n\n_pinches bridge of nose_\n\nCritical VIEW. They could sell the equivalent of passes but call them items for branding purposes, and the \"item\" (notice the quotes, like I used in the OP) would increase your chance to get a special reward from viewing an esport match. It has literally nothing to do with in game performance. Please read more carefully before commenting next time; thanks.","replies":[]}]}]} |
{"componentChunkName":"component---src-templates-post-tsx","path":"/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos","result":{"data":{"post":{"body":"function _extends() { _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; return _extends.apply(this, arguments); }\n\nfunction _objectWithoutProperties(source, excluded) { if (source == null) return {}; var target = _objectWithoutPropertiesLoose(source, excluded); var key, i; if (Object.getOwnPropertySymbols) { var sourceSymbolKeys = Object.getOwnPropertySymbols(source); for (i = 0; i < sourceSymbolKeys.length; i++) { key = sourceSymbolKeys[i]; if (excluded.indexOf(key) >= 0) continue; if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; target[key] = source[key]; } } return target; }\n\nfunction _objectWithoutPropertiesLoose(source, excluded) { if (source == null) return {}; var target = {}; var sourceKeys = Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; }\n\n/* @jsxRuntime classic */\n\n/* @jsx mdx */\nvar _frontmatter = {\n \"title\": \"Кот манул станет талисманом Студенческой весны стран ШОС\",\n \"thumbnail\": \"kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos.jpg\",\n \"date\": \"2014-05-22T23:08:04.000Z\",\n \"category_slug\": \"koshachi-novosti\",\n \"seo_title\": \"Кот манул станет талисманом\"\n};\nvar layoutProps = {\n _frontmatter: _frontmatter\n};\nvar MDXLayout = \"wrapper\";\nreturn function MDXContent(_ref) {\n var components = _ref.components,\n props = _objectWithoutProperties(_ref, [\"components\"]);\n\n return mdx(MDXLayout, _extends({}, layoutProps, props, {\n components: components,\n mdxType: \"MDXLayout\"\n }), mdx(\"p\", null, \"\\u0412 \\u0427\\u0438\\u0442\\u0435 \\u043F\\u0440\\u043E\\u0439\\u0434\\u0451\\u0442 \\u0444\\u0435\\u0441\\u0442\\u0438\\u0432\\u0430\\u043B\\u044C \\xAB\\u0421\\u0442\\u0443\\u0434\\u0435\\u043D\\u0447\\u0435\\u0441\\u043A\\u0430\\u044F \\u0432\\u0435\\u0441\\u043D\\u0430 \\u0441\\u0442\\u0440\\u0430\\u043D \\u0428\\u041E\\u0421\\xBB \\u0441\\u043E 2 \\u043F\\u043E 7 \\u0438\\u044E\\u043B\\u044F. \\u0421\\u0438\\u043C\\u0432\\u043E\\u043B\\u043E\\u043C \\u0438\\u043D\\u0442\\u0435\\u0440\\u043D\\u0430\\u0446\\u0438\\u043E\\u043D\\u0430\\u043B\\u044C\\u043D\\u043E\\u0439 \\u0421\\u0442\\u0443\\u0434\\u0432\\u0435\\u0441\\u043D\\u044B \\u0441\\u0442\\u0430\\u043D\\u0435\\u0442 \\u0445\\u043E\\u0440\\u043E\\u0432\\u043E\\u0434 \\u0438\\u0437 \\u0441\\u0435\\u043C\\u0438 \\u043C\\u0430\\u0442\\u0440\\u0451\\u0448\\u0435\\u043A.\"), mdx(\"p\", null, \"\\u0410 \\u0432\\u043E\\u0442 \\u0442\\u0430\\u043B\\u0438\\u0441\\u043C\\u0430\\u043D\\u043E\\u043C \\u0441\\u0442\\u0443\\u0434\\u0435\\u043D\\u0447\\u0435\\u0441\\u043A\\u043E\\u0433\\u043E \\u0444\\u0435\\u0441\\u0442\\u0438\\u0432\\u0430\\u043B\\u044F \\u0441\\u0442\\u0430\\u043D\\u0435\\u0442 \\u043A\\u043E\\u0442 \\u043C\\u0430\\u043D\\u0443\\u043B, \\u0438\\u0437\\u0432\\u0435\\u0441\\u0442\\u043D\\u044B\\u0439 \\u043F\\u043E \\u043F\\u043E\\u043F\\u0443\\u043B\\u044F\\u0440\\u043D\\u043E\\u043C\\u0443 \\u0438\\u043D\\u0442\\u0435\\u0440\\u043D\\u0435\\u0442-\\u043C\\u0435\\u043C\\u0443 \\xAB\\u041F\\u043E\\u0433\\u043B\\u0430\\u0434\\u044C \\u043A\\u043E\\u0442\\u0430\\xBB.\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"640px\"\n }\n }, \"\\n \", mdx(\"a\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-link\",\n \"href\": \"/static/e410fb93204326656a6f8bac26c83f17/c08c5/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-1.jpg\",\n \"style\": {\n \"display\": \"block\"\n },\n \"target\": \"_blank\",\n \"rel\": \"noopener\"\n }, \"\\n \", mdx(\"span\", {\n parentName: \"a\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"79.75460122699387%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/jpeg;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"a\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"погладь кота\",\n \"title\": \"погладь кота\",\n \"src\": \"/static/e410fb93204326656a6f8bac26c83f17/c08c5/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-1.jpg\",\n \"srcSet\": [\"/static/e410fb93204326656a6f8bac26c83f17/d2f63/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-1.jpg 163w\", \"/static/e410fb93204326656a6f8bac26c83f17/c989d/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-1.jpg 325w\", \"/static/e410fb93204326656a6f8bac26c83f17/c08c5/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-1.jpg 640w\"],\n \"sizes\": \"(max-width: 640px) 100vw, 640px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\"\n }), \"\\n \"), \"\\n \")), mdx(\"p\", null, \"\\u041E\\u0441\\u043D\\u043E\\u0432\\u043D\\u0430\\u044F \\u043F\\u043E\\u043F\\u0443\\u043B\\u044F\\u0446\\u0438\\u044F \\u044D\\u0442\\u0438\\u0445 \\u0436\\u0438\\u0432\\u043E\\u0442\\u043D\\u044B\\u0445 \\u043E\\u0431\\u0438\\u0442\\u0430\\u0435\\u0442 \\u0432 \\u0417\\u0430\\u0431\\u0430\\u0439\\u043A\\u0430\\u043B\\u044C\\u0435. \\u041F\\u043E\\u044D\\u0442\\u043E\\u043C\\u0443, \\u0441\\u043E\\u0432\\u0441\\u0435\\u043C \\u043D\\u0435\\u0443\\u0434\\u0438\\u0432\\u0438\\u0442\\u0435\\u043B\\u044C\\u043D\\u043E, \\u0447\\u0442\\u043E \\u0442\\u0430\\u043B\\u0438\\u0441\\u043C\\u0430\\u043D\\u043E\\u043C \\u0441\\u0442\\u0430\\u043D\\u0435\\u0442 \\u043A\\u043E\\u0442 \\u043C\\u0430\\u043D\\u0443\\u043B.\"), mdx(\"p\", null, \"\\u041D\\u0430 \\u0444\\u0435\\u0441\\u0442\\u0438\\u0432\\u0430\\u043B\\u0435 \\u043A\\u0430\\u0436\\u0434\\u044B\\u0439 \\u0441\\u043C\\u043E\\u0436\\u0435\\u0442 \\u0437\\u0430\\u0432\\u0435\\u0441\\u0442\\u0438 \\u0441\\u0435\\u0431\\u0435 \\u0441\\u043E\\u0431\\u0441\\u0442\\u0432\\u0435\\u043D\\u043D\\u043E\\u0433\\u043E \\u043F\\u0443\\u0448\\u0438\\u0441\\u0442\\u0438\\u043A\\u0430 - \\u043E\\u0440\\u0433\\u0430\\u043D\\u0438\\u0437\\u0430\\u0442\\u043E\\u0440\\u044B \\u043E\\u0431\\u0435\\u0449\\u0430\\u044E\\u0442 \\u0432\\u044B\\u043F\\u0443\\u0441\\u0442\\u0438\\u0442\\u044C \\u0441\\u0435\\u0440\\u0438\\u044E \\u0441\\u0443\\u0432\\u0435\\u043D\\u0438\\u0440\\u043E\\u0432, \\u0438\\u0437\\u043E\\u0431\\u0440\\u0430\\u0436\\u0430\\u044E\\u0449\\u0438\\u0445 \\u043C\\u0430\\u043D\\u0443\\u043B\\u0430.\"), mdx(\"p\", null, \"\\u0412 \\u043C\\u0435\\u0436\\u0434\\u0443\\u043D\\u0430\\u0440\\u043E\\u0434\\u043D\\u043E\\u043C \\u0444\\u0435\\u0441\\u0442\\u0438\\u0432\\u0430\\u043B\\u0435 \\xAB\\u0421\\u0442\\u0443\\u0434\\u0435\\u043D\\u0447\\u0435\\u0441\\u043A\\u0430\\u044F \\u0432\\u0435\\u0441\\u043D\\u0430 \\u0441\\u0442\\u0440\\u0430\\u043D \\u0428\\u041E\\u0421\\xBB \\u043F\\u0440\\u0438\\u043C\\u0443\\u0442 \\u0443\\u0447\\u0430\\u0441\\u0442\\u0438\\u0435 \\u0434\\u0435\\u043B\\u0435\\u0433\\u0430\\u0446\\u0438\\u0438 13 \\u0441\\u0442\\u0440\\u0430\\u043D: \\u041A\\u0430\\u0437\\u0430\\u0445\\u0441\\u0442\\u0430\\u043D\\u0430, \\u041A\\u044B\\u0440\\u0433\\u044B\\u0437\\u0441\\u0442\\u0430\\u043D\\u0430, \\u041A\\u0438\\u0442\\u0430\\u044F, \\u0422\\u0430\\u0436\\u0434\\u0438\\u043A\\u0438\\u0441\\u0442\\u0430\\u043D\\u0430, \\u0423\\u0437\\u0431\\u0435\\u043A\\u0438\\u0441\\u0442\\u0430\\u043D\\u0430, \\u0410\\u0444\\u0433\\u0430\\u043D\\u0438\\u0441\\u0442\\u0430\\u043D\\u0430, \\u0418\\u043D\\u0434\\u0438\\u0438, \\u0418\\u0440\\u0430\\u043D\\u0430, \\u041F\\u0430\\u043A\\u0438\\u0441\\u0442\\u0430\\u043D\\u0430, \\u041C\\u043E\\u043D\\u0433\\u043E\\u043B\\u0438\\u0438, \\u0411\\u0435\\u043B\\u0430\\u0440\\u0443\\u0441\\u0438, \\u0422\\u0443\\u0440\\u0446\\u0438\\u0438 \\u0438 \\u0428\\u0440\\u0438-\\u041B\\u0430\\u043D\\u043A\\u0438, \\u0430 \\u0442\\u0430\\u043A\\u0436\\u0435 19 \\u0440\\u0435\\u0433\\u0438\\u043E\\u043D\\u043E\\u0432 \\u0421\\u0438\\u0431\\u0438\\u0440\\u0441\\u043A\\u043E\\u0433\\u043E \\u0438 \\u0414\\u0430\\u043B\\u044C\\u043D\\u0435\\u0432\\u043E\\u0441\\u0442\\u043E\\u0447\\u043D\\u043E\\u0433\\u043E \\u043E\\u043A\\u0440\\u0443\\u0433\\u043E\\u0432 \\u0420\\u043E\\u0441\\u0441\\u0438\\u0438. \\u0412\\u0441\\u0435\\u0433\\u043E, \\u043F\\u043E \\u0441\\u043B\\u043E\\u0432\\u0430\\u043C \\u043E\\u0440\\u0433\\u0430\\u043D\\u0438\\u0437\\u0430\\u0442\\u043E\\u0440\\u043E\\u0432, \\u0432 \\u0427\\u0438\\u0442\\u0443 \\u043F\\u0440\\u0438\\u0435\\u0434\\u0443\\u0442 3850 \\u0447\\u0435\\u043B\\u043E\\u0432\\u0435\\u043A, \\u0432 \\u0442\\u043E\\u043C \\u0447\\u0438\\u0441\\u043B\\u0435 500 \\u0436\\u0438\\u0442\\u0435\\u043B\\u0435\\u0439 \\u0417\\u0430\\u0431\\u0430\\u0439\\u043A\\u0430\\u043B\\u044C\\u044F.\"), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"650px\"\n }\n }, \"\\n \", mdx(\"a\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-link\",\n \"href\": \"/static/045726efae49a791a20100098bea87ea/32469/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-2.jpg\",\n \"style\": {\n \"display\": \"block\"\n },\n \"target\": \"_blank\",\n \"rel\": \"noopener\"\n }, \"\\n \", mdx(\"span\", {\n parentName: \"a\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"66.25766871165644%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/jpeg;base64,/9j/2wBDABALDA4MChAODQ4SERATGCgaGBYWGDEjJR0oOjM9PDkzODdASFxOQERXRTc4UG1RV19iZ2hnPk1xeXBkeFxlZ2P/2wBDARESEhgVGC8aGi9jQjhCY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2P/wgARCAANABQDASIAAhEBAxEB/8QAFwABAQEBAAAAAAAAAAAAAAAAAAMBBP/EABYBAQEBAAAAAAAAAAAAAAAAAAABA//aAAwDAQACEAMQAAAB4rQ3Okx//8QAGRABAQEAAwAAAAAAAAAAAAAAAAERAhIT/9oACAEBAAEFApweTGu1Wv/EABURAQEAAAAAAAAAAAAAAAAAAAAR/9oACAEDAQE/Aar/xAAUEQEAAAAAAAAAAAAAAAAAAAAQ/9oACAECAQE/AT//xAAWEAADAAAAAAAAAAAAAAAAAAAAICH/2gAIAQEABj8CIv8A/8QAGRAAAwEBAQAAAAAAAAAAAAAAAAERITFh/9oACAEBAAE/IVPGQukSVKe5of/aAAwDAQACAAMAAAAQDN//xAAUEQEAAAAAAAAAAAAAAAAAAAAQ/9oACAEDAQE/EA//xAAWEQEBAQAAAAAAAAAAAAAAAAABEFH/2gAIAQIBAT8QHZ//xAAZEAEAAwEBAAAAAAAAAAAAAAABABEhMVH/2gAIAQEAAT8QcEAcZWvMX12INFZ6w6G+xbCg9yLe9Z//2Q==')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"a\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"Кот манул\",\n \"title\": \"Кот манул\",\n \"src\": \"/static/045726efae49a791a20100098bea87ea/6aca1/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-2.jpg\",\n \"srcSet\": [\"/static/045726efae49a791a20100098bea87ea/d2f63/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-2.jpg 163w\", \"/static/045726efae49a791a20100098bea87ea/c989d/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-2.jpg 325w\", \"/static/045726efae49a791a20100098bea87ea/6aca1/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-2.jpg 650w\", \"/static/045726efae49a791a20100098bea87ea/7c09c/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-2.jpg 975w\", \"/static/045726efae49a791a20100098bea87ea/01ab0/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-2.jpg 1300w\", \"/static/045726efae49a791a20100098bea87ea/32469/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-2.jpg 1971w\"],\n \"sizes\": \"(max-width: 650px) 100vw, 650px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\"\n }), \"\\n \"), \"\\n \")), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"650px\"\n }\n }, \"\\n \", mdx(\"a\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-link\",\n \"href\": \"/static/48f434b3b852ff26c67247c899532e94/3cd75/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-3.jpg\",\n \"style\": {\n \"display\": \"block\"\n },\n \"target\": \"_blank\",\n \"rel\": \"noopener\"\n }, \"\\n \", mdx(\"span\", {\n parentName: \"a\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"66.25766871165644%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/jpeg;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"a\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"Кот манул\",\n \"title\": \"Кот манул\",\n \"src\": \"/static/48f434b3b852ff26c67247c899532e94/6aca1/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-3.jpg\",\n \"srcSet\": [\"/static/48f434b3b852ff26c67247c899532e94/d2f63/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-3.jpg 163w\", \"/static/48f434b3b852ff26c67247c899532e94/c989d/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-3.jpg 325w\", \"/static/48f434b3b852ff26c67247c899532e94/6aca1/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-3.jpg 650w\", \"/static/48f434b3b852ff26c67247c899532e94/7c09c/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-3.jpg 975w\", \"/static/48f434b3b852ff26c67247c899532e94/01ab0/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-3.jpg 1300w\", \"/static/48f434b3b852ff26c67247c899532e94/3cd75/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-3.jpg 2464w\"],\n \"sizes\": \"(max-width: 650px) 100vw, 650px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\"\n }), \"\\n \"), \"\\n \")), mdx(\"p\", null, mdx(\"span\", {\n parentName: \"p\",\n \"className\": \"gatsby-resp-image-wrapper\",\n \"style\": {\n \"position\": \"relative\",\n \"display\": \"block\",\n \"marginLeft\": \"auto\",\n \"marginRight\": \"auto\",\n \"maxWidth\": \"650px\"\n }\n }, \"\\n \", mdx(\"a\", {\n parentName: \"span\",\n \"className\": \"gatsby-resp-image-link\",\n \"href\": \"/static/eb484b6de06022ad82f86ba11b9c2d49/c58a3/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-4.jpg\",\n \"style\": {\n \"display\": \"block\"\n },\n \"target\": \"_blank\",\n \"rel\": \"noopener\"\n }, \"\\n \", mdx(\"span\", {\n parentName: \"a\",\n \"className\": \"gatsby-resp-image-background-image\",\n \"style\": {\n \"paddingBottom\": \"66.87116564417178%\",\n \"position\": \"relative\",\n \"bottom\": \"0\",\n \"left\": \"0\",\n \"backgroundImage\": \"url('data:image/jpeg;base64,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')\",\n \"backgroundSize\": \"cover\",\n \"display\": \"block\"\n }\n }), \"\\n \", mdx(\"img\", {\n parentName: \"a\",\n \"className\": \"gatsby-resp-image-image\",\n \"alt\": \"Кот манул\",\n \"title\": \"Кот манул\",\n \"src\": \"/static/eb484b6de06022ad82f86ba11b9c2d49/6aca1/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-4.jpg\",\n \"srcSet\": [\"/static/eb484b6de06022ad82f86ba11b9c2d49/d2f63/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-4.jpg 163w\", \"/static/eb484b6de06022ad82f86ba11b9c2d49/c989d/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-4.jpg 325w\", \"/static/eb484b6de06022ad82f86ba11b9c2d49/6aca1/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-4.jpg 650w\", \"/static/eb484b6de06022ad82f86ba11b9c2d49/7c09c/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-4.jpg 975w\", \"/static/eb484b6de06022ad82f86ba11b9c2d49/01ab0/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-4.jpg 1300w\", \"/static/eb484b6de06022ad82f86ba11b9c2d49/c58a3/kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos-4.jpg 1500w\"],\n \"sizes\": \"(max-width: 650px) 100vw, 650px\",\n \"style\": {\n \"width\": \"100%\",\n \"height\": \"100%\",\n \"margin\": \"0\",\n \"verticalAlign\": \"middle\",\n \"position\": \"absolute\",\n \"top\": \"0\",\n \"left\": \"0\"\n },\n \"loading\": \"lazy\"\n }), \"\\n \"), \"\\n \")));\n}\n;\nMDXContent.isMDXComponent = true;","tableOfContents":{},"frontmatter":{"title":"Кот манул станет талисманом Студенческой весны стран ШОС","date":"2014-05-22"}},"relatedPosts":{"edges":[]}},"pageContext":{"slug":"kot-manul-stanet-talismanom-studencheskoj-vesny-stran-shos"}},"staticQueryHashes":["3649515864","3933680290","63159454"]} |
{"h":"b31ff2b6f88b668a2de9","c":{"static/development/pages/index.js":true}} |
{
"fadeOut": 1.5,
"scripts": [
{
"bgm": "story-6",
"actor": 107060,
"side": 2,
"dir": 1,
"nameColor": "#a9f548",
"typewriter": {
"speed": 0.05,
"speedUp": 0.01
},
"painting": {
"alpha": 0.3,
"time": 1
},
"say": "이상하군, 세이렌 함대의 전투력이 예상보다 너무 낮아"
},
{
"actor": 107060,
"side": 2,
"dir": 1,
"nameColor": "#a9f548",
"typewriter": {
"speed": 0.05,
"speedUp": 0.01
},
"painting": {
"alpha": 0.3,
"time": 1
},
"say": "전투를 시작하고 지금까지, 정예 하나 나타나지 않았어."
},
{
"actor": 107060,
"side": 2,
"dir": 1,
"nameColor": "#a9f548",
"typewriter": {
"speed": 0.05,
"speedUp": 0.01
},
"painting": {
"alpha": 0.3,
"time": 1
},
"say": "대신한 것이 바로 우리와 외모가 같은 인형들인가..."
},
{
"actor": 207040,
"side": 2,
"dir": 1,
"nameColor": "#a9f548",
"typewriter": {
"speed": 0.05,
"speedUp": 0.01
},
"painting": {
"alpha": 0.3,
"time": 1
},
"say": "설령 겉이 아무리 흡사하다 해도 결국엔 영혼없는 가짜인 것을…"
},
{
"actor": 207040,
"side": 2,
"dir": 1,
"nameColor": "#a9f548",
"typewriter": {
"speed": 0.05,
"speedUp": 0.01
},
"painting": {
"alpha": 0.3,
"time": 1
},
"say": "이렇게 무더기로 가져와도 말이지…"
},
{
"actor": 207040,
"side": 2,
"dir": 1,
"nameColor": "#a9f548",
"typewriter": {
"speed": 0.05,
"speedUp": 0.01
},
"painting": {
"alpha": 0.3,
"time": 1
},
"say": "실제로 맞아 쓰러지기도 전에 구역질이 나서 몸이 망가지겠다고!"
},
{
"action": [
{
"y": 30,
"type": "shake",
"dur": 0.15,
"number": 2,
"delay": 0,
"x": 0
}
],
"actor": 207040,
"side": 2,
"dir": 1,
"nameColor": "#a9f548",
"typewriter": {
"speed": 0.05,
"speedUp": 0.01
},
"painting": {
"alpha": 0.3,
"time": 1
},
"say": "아아아! 세이렌에게 정상적인 심미안을 가지게 하는 건 녀석들을 당장 투항시키는 것보다 어려울 거야!"
},
{
"action": [
{
"y": 30,
"type": "shake",
"dur": 0.15,
"number": 2,
"delay": 0,
"x": 0
}
],
"actor": 107060,
"side": 2,
"dir": 1,
"nameColor": "#a9f548",
"typewriter": {
"speed": 0.05,
"speedUp": 0.01
},
"painting": {
"alpha": 0.3,
"time": 1
},
"say": "…풋!"
},
{
"side": 2,
"dir": 1,
"typewriter": {
"speed": 0.05,
"speedUp": 0.01
},
"painting": {
"alpha": 0.3,
"time": 1
},
"say": "역시나 로열 네이비의 항공모함, 이상한 곳에서 범상치 않은 집착을 가진다…"
},
{
"actor": 107060,
"side": 2,
"dir": 1,
"nameColor": "#a9f548",
"typewriter": {
"speed": 0.05,
"speedUp": 0.01
},
"painting": {
"alpha": 0.3,
"time": 1
},
"say": "흠흠..지휘관, 남은 함대 모두 순조롭게 작전을 실행 중이니, 우리 역시 계속 나아가지."
}
],
"id": "XIANGTINGLIAOFA18",
"mode": 2,
"fadein": 1.5,
"once": true
} |
["95b9f9def93621f104bc53217c45cdca7f2426a6"] |
{"id":64211791,"id_str":"64211791","name":"Adama Diouf","screen_name":"OuijaSan","location":"Accra","description":"Social entrepreneur. Tech enthusiast. Builder. I will change the face of #Africa.","url":"http:\/\/t.co\/04OV5ZAHFE","entities":{"url":{"urls":[{"url":"http:\/\/t.co\/04OV5ZAHFE","expanded_url":"http:\/\/www.adamadiouf.com","display_url":"adamadiouf.com","indices":[0,22]}]},"description":{"urls":[]}},"protected":false,"followers_count":312,"friends_count":426,"listed_count":12,"created_at":"Sun Aug 09 17:20:43 +0000 2009","favourites_count":8,"utc_offset":3600,"time_zone":"Casablanca","geo_enabled":false,"verified":false,"statuses_count":772,"lang":"en","status":{"created_at":"Fri Jul 29 14:32:47 +0000 2016","id":"759033939130519552","id_str":"759033939130519552","text":"Meanwhile some are working #togo... https:\/\/t.co\/en1VjafoUP","truncated":false,"entities":{"hashtags":[{"text":"togo","indices":[27,32]}],"symbols":[],"user_mentions":[],"urls":[{"url":"https:\/\/t.co\/en1VjafoUP","expanded_url":"http:\/\/fb.me\/3dvDB0g0h","display_url":"fb.me\/3dvDB0g0h","indices":[36,59]}]},"source":"<a href=\"http:\/\/www.facebook.com\/twitter\" rel=\"nofollow\">Facebook<\/a>","in_reply_to_status_id":null,"in_reply_to_status_id_str":null,"in_reply_to_user_id":null,"in_reply_to_user_id_str":null,"in_reply_to_screen_name":null,"geo":null,"coordinates":null,"place":null,"contributors":null,"is_quote_status":false,"retweet_count":0,"favorite_count":0,"favorited":false,"retweeted":false,"possibly_sensitive":false,"lang":"en"},"contributors_enabled":false,"is_translator":false,"is_translation_enabled":false,"profile_background_color":"131516","profile_background_image_url":"http:\/\/abs.twimg.com\/images\/themes\/theme14\/bg.gif","profile_background_image_url_https":"https:\/\/abs.twimg.com\/images\/themes\/theme14\/bg.gif","profile_background_tile":true,"profile_image_url":"http:\/\/pbs.twimg.com\/profile_images\/506558427876061184\/cKQrrg4C_normal.jpeg","profile_image_url_https":"https:\/\/pbs.twimg.com\/profile_images\/506558427876061184\/cKQrrg4C_normal.jpeg","profile_banner_url":"https:\/\/pbs.twimg.com\/profile_banners\/64211791\/1407679212","profile_link_color":"009999","profile_sidebar_border_color":"EEEEEE","profile_sidebar_fill_color":"EFEFEF","profile_text_color":"333333","profile_use_background_image":true,"has_extended_profile":false,"default_profile":false,"default_profile_image":false,"following":false,"live_following":false,"follow_request_sent":false,"notifications":false,"muting":false,"blocking":false,"blocked_by":false} |
[
{
"hole_count": {
"東1": 0,
"東2": 0,
"東3": 0,
"東4": 0,
"東5": 0,
"東6": 0,
"東7": 0,
"東8": 0
}
},
"冬コミ行って来るー(*^^*)\nいつも、職場のオタク達と地元からバスでワイワイしながら行くから現地に着く頃にはウォーミングアップ万端✨✨\n女医さんの「これ、全部下さい。」と何スペース分も買い占めるのを見るのも楽しみw叶姉妹かΣヾ(＞ω＜=)"
] |
{"code":"3525132004","province_code":"35","regency_code":"3525","district_code":"352513","name":"BRINGKANG"} |
{"geometry":{"type":"Polygon","coordinates":[[[-40.638990,-4.246308],[-40.649689,-4.251938],[-40.651277,-4.251933],[-40.654489,-4.246475],[-40.654571,-4.245442],[-40.649043,-4.240675],[-40.646966,-4.240583],[-40.641057,-4.238811],[-40.640004,-4.238759],[-40.639233,-4.238759],[-40.638643,-4.238759],[-40.638052,-4.238836],[-40.637435,-4.238991],[-40.636999,-4.239222],[-40.636690,-4.239556],[-40.636485,-4.239992],[-40.636331,-4.240301],[-40.636319,-4.240521],[-40.636305,-4.240789],[-40.636295,-4.240855],[-40.636279,-4.240969],[-40.636254,-4.241277],[-40.636246,-4.241427],[-40.636228,-4.241791],[-40.636228,-4.242715],[-40.636408,-4.243383],[-40.637332,-4.244642],[-40.638232,-4.245336],[-40.638771,-4.245849],[-40.638973,-4.246272],[-40.638989,-4.246304],[-40.638990,-4.246308]]]},"properties":{"qs:a1r":"*","geom:longitude":-40.645435,"qs:level":"locality0","qs:adm0":"Brazil","lbl:latitude":-4.246670,"wof:hierarchy":[{"locality_id":101945033,"country_id":85633009,"region_id":85681907,"county_id":102051721}],"iso:country":"BR","src:geom_alt":[],"wof:geomhash":"84183596691704c344b687992c0492a9","qs:a1_lc":"23","wof:breaches":[],"wof:name":"Pires Ferreira","src:geom":"quattroshapes","qs:a2_lc":"2310951","wof:supersedes":[],"qs:la_lc":"*","qs:loc":"Pires Ferreira","wof:id":101945033,"qs:pop":0,"lbl:longitude":-40.645280,"name:por_p":["Pires Ferreira"],"geom:area":0.000148,"geom:latitude":-4.244797,"qs:source":"ABrasil IBGE","src:centroid_lbl":"geonames","wof:belongsto":[85633009,85681907,102051721],"qs:type":"Centro Local","wof:placetype":"locality","qs:a0":"Brasil","qs:a1":"*CE","qs:a2":"PIRES FERREIRA","wof:lastmodified":1439924502,"wof:superseded_by":[],"wof:concordances":{"gn:id":3391918,"gp:id":444419,"qs:id":3,"fct:id":"038639d6-8f76-11e1-848f-cfd5bf3ef515"},"wof:parent_id":102051721},"type":"Feature","bbox":[-40.654571,-4.251938,-40.636228,-4.238759],"id":101945033} |
{"_id":"A65852","titles":["The Christianity of the people commonly called Quakers asserted against the unjust charge of their being no Christians, upon several questions relating to those matters wherein their Christian belief is questioned."],"author":["Whitehead, George, 1636?-1723."],"place":"London :","date":"1689.","publisher":"printed for Thomas Northcott, in George-yard, in Lumbardstreet,","notes":["Attributed to George Whitehead by Wing.","Caption title.","Reproduction of the original in the Friends House Library, London."],"editionDate":"1689","language":"eng","keywords":["Society of Friends -- Apologetic works -- Early works to 1800.","Quakers -- Early works to 1800."]} |
{"poster":"SUN Void ","date":"2017-07-18T15:49:43.513+0000","title":"Ma la 1FA??????","subforum":"Mappe e modalità","up_votes":5,"down_votes":1,"body":"Ragazzi ma che fine ha fatto la One For All? è una vita che non viene messa in rotazione, sinceramente mi manca, era divertente fare i deficienti tra amici tutti con lo stesso champ XD\r\nRioter, potete per cortesia valutare di rimetterla in rotazione? avreste 5 player felici ^^","replies":[{"poster":"Jeanne dˆArc","date":"2017-07-18T16:01:30.165+0000","up_votes":1,"down_votes":0,"body":"> _**Perché Leggenda del Re dei Poro e Ascensione appaiono più spesso rispetto alle altre modalità in rotazione?**\nPuntiamo sempre a creare nuove modalità e a rilasciarle con la maggior frequenza possibile (quest'anno abbiamo pubblicato Luna di Sangue e Stella Oscura). Purtroppo, non possiamo sfornare una modalità Stella Oscura al mese. Tra una novità e l'altra, invece di avere dei weekend vuoti, riportiamo alla ribalta alcune modalità amatissime (come Ascensione e Re dei Poro), in modo che ci sia sempre qualcosa da giocare e prendersi una pausa dal gioco principale. Ci sembra un'alternativa migliore al non aver niente da giocare tra una grande novità e l'altra. Alcuni potrebbero ricordare che prima della rotazione gestivamo le modalità in questo modo, e il silenzio tra un'uscita e l'altra era lungo (circa 3 mesi, ai tempi). In questo modo c'è comunque qualcosa di divertente da fare nei weekend, anche se è qualcosa di già visto.\nStiamo anche lavorando sulla compatibilità del nuovo client con le vecchie modalità in rotazione più di successo (Uno per tutti, Hexakill), ma a volte nello sviluppo dei giochi ci vuole pazienza. Stiamo lavorando al tutto in parallelo alle nuove modalità (tipo: Luna di Sangue e Stella Oscura). La buona notizia è che ora abbiamo i Bot dell'apocalisse nel nuovo client! Le nuove modalità sono anche gratuite in termini di sviluppo, essendo state progettate da zero nel nuovo client, quindi sono molto più facili da riproporre (Luna di Sangue è appena ripartita e Stella Oscura tornerà presto).\nL4T3NCY, Lead Designer, Rotazione delle modalità di gioco_\n\n[Chiedi a Riot: Ancora il Re dei Poro?](http://euw.leagueoflegends.com/it/news/community/q/chiedi-riot-ancora-il-re-dei-poro)","replies":[{"poster":"Kim114","date":"2017-07-18T16:34:55.072+0000","up_votes":1,"down_votes":0,"body":"del tipo, le modalità non vanno fatte a ciclo ma quando vogliamo noi","replies":[{"poster":"Jack Garrus","date":"2017-07-19T07:27:24.897+0000","up_votes":1,"down_votes":0,"body":"Sottovaluti tutto l'ambaradan che serve per tenere su tutte le modalità","replies":[{"poster":"Kim114","date":"2017-07-19T10:47:18.893+0000","up_votes":1,"down_votes":0,"body":"Sono daccordo, mica la 1 for all o ARURF sono modalità leggere, ma vogliamo rimetterle o dobbiamo giocare solo a re del poro e ascenzione? Assalto alla torre non avviene da un bel pò!","replies":[{"poster":"Jack Garrus","date":"2017-07-19T12:07:37.326+0000","up_votes":1,"down_votes":0,"body":"Dal tuo precedente commento sembrava volessi avere tutte le modalità insieme così da poter scegliere quello che vuoi quando vuoi, perciò ti ho fatto presente che sarebbe un costo assurdo per Riot.\nBtw si, ci vorrebbe un po' più di varietà","replies":[{"poster":"Kim114","date":"2017-07-19T12:25:22.653+0000","up_votes":1,"down_votes":0,"body":"noooo ma che dici, il launcher esploderebbe; scusa se mi sono spiegato malissimo","replies":[{"poster":"Jack Garrus","date":"2017-07-19T15:16:13.615+0000","up_votes":1,"down_votes":0,"body":"Non c'è problema ^^","replies":[]}]}]}]}]}]},{"poster":"fedy99","date":"2017-07-18T21:29:59.932+0000","up_votes":1,"down_votes":0,"body":"ma scusa non è pi facile inserire un champ in più per squadra(oppure tutti che usano lo stesso champ)che riutilizzare la mappa della dominion vecchia cambiata completamente??","replies":[]}]},{"poster":"NOLIMIT Vladimir","date":"2017-07-18T15:56:18.761+0000","up_votes":1,"down_votes":0,"body":"Ho iniziato a giocare a LoL esattamente 2 giorni dopo che hanno tolto la 1fall come modalità di rotazione (a detta di alcuni miei amici) e gioco da oltre 6 mesi e ancora non l'ho provata... la Re poro e l'ascensione l'ho vista almeno 4 volte l'una","replies":[]}]} |
[{"lineNumber": 27, "col_offset": 33, "nodeName": "TestCase", "type": "Any"}, {"lineNumber": 27, "col_offset": 51, "nodeName": "TestCase", "type": "Any"}, {"lineNumber": 29, "col_offset": 2, "nodeName": "test_metrics", "type": "Callable[[Any], Any]"}, {"lineNumber": 37, "col_offset": 2, "nodeName": "test_sparse_categorical_accuracy_int", "type": "Callable[[Any], Any]"}, {"lineNumber": 67, "col_offset": 2, "nodeName": "test_sparse_categorical_accuracy_float", "type": "Callable[[Any], Any]"}, {"lineNumber": 74, "col_offset": 2, "nodeName": "test_sparse_categorical_accuracy_eager", "type": "Callable[[Any], Any]"}, {"lineNumber": 82, "col_offset": 2, "nodeName": "test_sparse_categorical_accuracy_float_eager", "type": "Callable[[Any], Any]"}, {"lineNumber": 90, "col_offset": 2, "nodeName": "test_sparse_top_k_categorical_accuracy", "type": "Callable[[Any], Any]"}, {"lineNumber": 134, "col_offset": 2, "nodeName": "test_top_k_categorical_accuracy", "type": "Callable[[Any], Any]"}, {"lineNumber": 27, "col_offset": 33, "nodeName": "test", "type": "Any"}, {"lineNumber": 27, "col_offset": 51, "nodeName": "parameterized", "type": "Any"}, {"lineNumber": 149, "col_offset": 3, "nodeName": "__name__", "type": "str"}, {"lineNumber": 27, "col_offset": 33, "nodeName": "tf", "type": "Any"}, {"lineNumber": 77, "col_offset": 4, "nodeName": "metric", "type": "Any"}, {"lineNumber": 77, "col_offset": 13, "nodeName": "sparse_categorical_accuracy", "type": "Any"}, {"lineNumber": 78, "col_offset": 4, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 79, "col_offset": 4, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 85, "col_offset": 4, "nodeName": "metric", "type": "Any"}, {"lineNumber": 85, "col_offset": 13, "nodeName": "sparse_categorical_accuracy", "type": "Any"}, {"lineNumber": 86, "col_offset": 4, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 87, "col_offset": 4, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 150, "col_offset": 2, "nodeName": "main", "type": "Any"}, {"lineNumber": 31, "col_offset": 6, "nodeName": "y_a", "type": "Any"}, {"lineNumber": 32, "col_offset": 6, "nodeName": "y_b", "type": "Any"}, {"lineNumber": 33, "col_offset": 10, "nodeName": "metric", "type": "Any"}, {"lineNumber": 39, "col_offset": 6, "nodeName": "metric", "type": "Any"}, {"lineNumber": 39, "col_offset": 15, "nodeName": "sparse_categorical_accuracy", "type": "Any"}, {"lineNumber": 40, "col_offset": 6, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 41, "col_offset": 6, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 45, "col_offset": 6, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 52, "col_offset": 6, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 63, "col_offset": 6, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 69, "col_offset": 6, "nodeName": "metric", "type": "Any"}, {"lineNumber": 69, "col_offset": 15, "nodeName": "sparse_categorical_accuracy", "type": "Any"}, {"lineNumber": 70, "col_offset": 6, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 71, "col_offset": 6, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 77, "col_offset": 13, "nodeName": "metrics", "type": "module"}, {"lineNumber": 78, "col_offset": 13, "nodeName": "reshape", "type": "Any"}, {"lineNumber": 79, "col_offset": 13, "nodeName": "reshape", "type": "Any"}, {"lineNumber": 80, "col_offset": 4, "nodeName": "assertAllEqual", "type": "Any"}, {"lineNumber": 85, "col_offset": 13, "nodeName": "metrics", "type": "module"}, {"lineNumber": 86, "col_offset": 13, "nodeName": "reshape", "type": "Any"}, {"lineNumber": 87, "col_offset": 13, "nodeName": "reshape", "type": "Any"}, {"lineNumber": 88, "col_offset": 4, "nodeName": "assertAllEqual", "type": "Any"}, {"lineNumber": 93, "col_offset": 6, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 94, "col_offset": 6, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 106, "col_offset": 6, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 107, "col_offset": 6, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 123, "col_offset": 6, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 136, "col_offset": 6, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 137, "col_offset": 6, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 150, "col_offset": 2, "nodeName": "test", "type": "Any"}, {"lineNumber": 30, "col_offset": 9, "nodeName": "cached_session", "type": "Any"}, {"lineNumber": 31, "col_offset": 12, "nodeName": "variable", "type": "Any"}, {"lineNumber": 32, "col_offset": 12, "nodeName": "variable", "type": "Any"}, {"lineNumber": 33, "col_offset": 21, "nodeName": "binary_accuracy", "type": "Any"}, {"lineNumber": 33, "col_offset": 46, "nodeName": "categorical_accuracy", "type": "Any"}, {"lineNumber": 34, "col_offset": 8, "nodeName": "output", "type": "Any"}, {"lineNumber": 38, "col_offset": 9, "nodeName": "cached_session", "type": "Any"}, {"lineNumber": 39, "col_offset": 15, "nodeName": "metrics", "type": "module"}, {"lineNumber": 40, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 41, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 42, "col_offset": 6, "nodeName": "assertEqual", "type": "Any"}, {"lineNumber": 42, "col_offset": 23, "nodeName": "shape", "type": "Any"}, {"lineNumber": 45, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 46, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 48, "col_offset": 6, "nodeName": "assertAllEqual", "type": "Any"}, {"lineNumber": 52, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 53, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 55, "col_offset": 6, "nodeName": "assertAllEqual", "type": "Any"}, {"lineNumber": 60, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 63, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 64, "col_offset": 6, "nodeName": "assertAllEqual", "type": "Any"}, {"lineNumber": 68, "col_offset": 9, "nodeName": "cached_session", "type": "Any"}, {"lineNumber": 69, "col_offset": 15, "nodeName": "metrics", "type": "module"}, {"lineNumber": 70, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 71, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 72, "col_offset": 6, "nodeName": "assertEqual", "type": "Any"}, {"lineNumber": 72, "col_offset": 23, "nodeName": "shape", "type": "Any"}, {"lineNumber": 80, "col_offset": 4, "nodeName": "self", "type": "Any"}, {"lineNumber": 80, "col_offset": 24, "nodeName": "metric", "type": "Any"}, {"lineNumber": 80, "col_offset": 31, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 80, "col_offset": 39, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 88, "col_offset": 4, "nodeName": "self", "type": "Any"}, {"lineNumber": 88, "col_offset": 24, "nodeName": "metric", "type": "Any"}, {"lineNumber": 88, "col_offset": 31, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 88, "col_offset": 39, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 91, "col_offset": 9, "nodeName": "cached_session", "type": "Any"}, {"lineNumber": 93, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 94, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 95, "col_offset": 15, "nodeName": "eval", "type": "Any"}, {"lineNumber": 97, "col_offset": 6, "nodeName": "assertEqual", "type": "Any"}, {"lineNumber": 98, "col_offset": 15, "nodeName": "eval", "type": "Any"}, {"lineNumber": 100, "col_offset": 6, "nodeName": "assertEqual", "type": "Any"}, {"lineNumber": 101, "col_offset": 15, "nodeName": "eval", "type": "Any"}, {"lineNumber": 103, "col_offset": 6, "nodeName": "assertEqual", "type": "Any"}, {"lineNumber": 106, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 107, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 108, "col_offset": 15, "nodeName": "eval", "type": "Any"}, {"lineNumber": 110, "col_offset": 6, "nodeName": "assertEqual", "type": "Any"}, {"lineNumber": 111, "col_offset": 15, "nodeName": "eval", "type": "Any"}, {"lineNumber": 113, "col_offset": 6, "nodeName": "assertEqual", "type": "Any"}, {"lineNumber": 114, "col_offset": 15, "nodeName": "eval", "type": "Any"}, {"lineNumber": 116, "col_offset": 6, "nodeName": "assertEqual", "type": "Any"}, {"lineNumber": 120, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 123, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 124, "col_offset": 15, "nodeName": "eval", "type": "Any"}, {"lineNumber": 126, "col_offset": 6, "nodeName": "assertEqual", "type": "Any"}, {"lineNumber": 127, "col_offset": 15, "nodeName": "eval", "type": "Any"}, {"lineNumber": 129, "col_offset": 6, "nodeName": "assertEqual", "type": "Any"}, {"lineNumber": 130, "col_offset": 15, "nodeName": "eval", "type": "Any"}, {"lineNumber": 132, "col_offset": 6, "nodeName": "assertEqual", "type": "Any"}, {"lineNumber": 135, "col_offset": 9, "nodeName": "cached_session", "type": "Any"}, {"lineNumber": 136, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 137, "col_offset": 15, "nodeName": "variable", "type": "Any"}, {"lineNumber": 138, "col_offset": 15, "nodeName": "eval", "type": "Any"}, {"lineNumber": 140, "col_offset": 6, "nodeName": "assertEqual", "type": "Any"}, {"lineNumber": 141, "col_offset": 15, "nodeName": "eval", "type": "Any"}, {"lineNumber": 143, "col_offset": 6, "nodeName": "assertEqual", "type": "Any"}, {"lineNumber": 144, "col_offset": 15, "nodeName": "eval", "type": "Any"}, {"lineNumber": 146, "col_offset": 6, "nodeName": "assertEqual", "type": "Any"}, {"lineNumber": 150, "col_offset": 2, "nodeName": "tf", "type": "Any"}, {"lineNumber": 30, "col_offset": 9, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 31, "col_offset": 12, "nodeName": "backend", "type": "module"}, {"lineNumber": 31, "col_offset": 29, "nodeName": "random", "type": "Any"}, {"lineNumber": 32, "col_offset": 12, "nodeName": "backend", "type": "module"}, {"lineNumber": 32, "col_offset": 29, "nodeName": "random", "type": "Any"}, {"lineNumber": 33, "col_offset": 21, "nodeName": "metrics", "type": "module"}, {"lineNumber": 33, "col_offset": 46, "nodeName": "metrics", "type": "module"}, {"lineNumber": 34, "col_offset": 17, "nodeName": "metric", "type": "Any"}, {"lineNumber": 34, "col_offset": 24, "nodeName": "y_a", "type": "Any"}, {"lineNumber": 34, "col_offset": 29, "nodeName": "y_b", "type": "Any"}, {"lineNumber": 35, "col_offset": 8, "nodeName": "assertEqual", "type": "Any"}, {"lineNumber": 35, "col_offset": 25, "nodeName": "shape", "type": "Any"}, {"lineNumber": 38, "col_offset": 9, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 40, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 40, "col_offset": 32, "nodeName": "randint", "type": "Any"}, {"lineNumber": 41, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 41, "col_offset": 32, "nodeName": "random", "type": "Any"}, {"lineNumber": 42, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 45, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 46, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 48, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 49, "col_offset": 10, "nodeName": "eval", "type": "Any"}, {"lineNumber": 52, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 53, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 55, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 56, "col_offset": 10, "nodeName": "eval", "type": "Any"}, {"lineNumber": 60, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 61, "col_offset": 10, "nodeName": "array", "type": "Callable[..., numpy.ndarray]"}, {"lineNumber": 63, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 63, "col_offset": 32, "nodeName": "array", "type": "Callable[..., numpy.ndarray]"}, {"lineNumber": 64, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 65, "col_offset": 10, "nodeName": "eval", "type": "Any"}, {"lineNumber": 68, "col_offset": 9, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 70, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 70, "col_offset": 32, "nodeName": "random", "type": "Any"}, {"lineNumber": 71, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 71, "col_offset": 32, "nodeName": "random", "type": "Any"}, {"lineNumber": 72, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 78, "col_offset": 13, "nodeName": "arange", "type": "Any"}, {"lineNumber": 79, "col_offset": 13, "nodeName": "arange", "type": "Any"}, {"lineNumber": 86, "col_offset": 13, "nodeName": "arange", "type": "Any"}, {"lineNumber": 87, "col_offset": 13, "nodeName": "arange", "type": "Any"}, {"lineNumber": 91, "col_offset": 9, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 93, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 93, "col_offset": 32, "nodeName": "array", "type": "Callable[..., numpy.ndarray]"}, {"lineNumber": 94, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 94, "col_offset": 32, "nodeName": "array", "type": "Callable[..., numpy.ndarray]"}, {"lineNumber": 95, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 96, "col_offset": 10, "nodeName": "sparse_top_k_categorical_accuracy", "type": "Any"}, {"lineNumber": 96, "col_offset": 52, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 96, "col_offset": 60, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 97, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 97, "col_offset": 23, "nodeName": "mean", "type": "Any"}, {"lineNumber": 97, "col_offset": 31, "nodeName": "result", "type": "Any"}, {"lineNumber": 98, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 99, "col_offset": 10, "nodeName": "sparse_top_k_categorical_accuracy", "type": "Any"}, {"lineNumber": 99, "col_offset": 52, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 99, "col_offset": 60, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 100, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 100, "col_offset": 23, "nodeName": "mean", "type": "Any"}, {"lineNumber": 100, "col_offset": 31, "nodeName": "result", "type": "Any"}, {"lineNumber": 101, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 102, "col_offset": 10, "nodeName": "sparse_top_k_categorical_accuracy", "type": "Any"}, {"lineNumber": 102, "col_offset": 52, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 102, "col_offset": 60, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 103, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 103, "col_offset": 23, "nodeName": "mean", "type": "Any"}, {"lineNumber": 103, "col_offset": 31, "nodeName": "result", "type": "Any"}, {"lineNumber": 106, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 106, "col_offset": 32, "nodeName": "array", "type": "Callable[..., numpy.ndarray]"}, {"lineNumber": 107, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 107, "col_offset": 32, "nodeName": "array", "type": "Callable[..., numpy.ndarray]"}, {"lineNumber": 108, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 109, "col_offset": 10, "nodeName": "sparse_top_k_categorical_accuracy", "type": "Any"}, {"lineNumber": 109, "col_offset": 52, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 109, "col_offset": 60, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 110, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 110, "col_offset": 23, "nodeName": "mean", "type": "Any"}, {"lineNumber": 110, "col_offset": 31, "nodeName": "result", "type": "Any"}, {"lineNumber": 111, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 112, "col_offset": 10, "nodeName": "sparse_top_k_categorical_accuracy", "type": "Any"}, {"lineNumber": 112, "col_offset": 52, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 112, "col_offset": 60, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 113, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 113, "col_offset": 23, "nodeName": "mean", "type": "Any"}, {"lineNumber": 113, "col_offset": 31, "nodeName": "result", "type": "Any"}, {"lineNumber": 114, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 115, "col_offset": 10, "nodeName": "sparse_top_k_categorical_accuracy", "type": "Any"}, {"lineNumber": 115, "col_offset": 52, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 115, "col_offset": 60, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 116, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 116, "col_offset": 23, "nodeName": "mean", "type": "Any"}, {"lineNumber": 116, "col_offset": 31, "nodeName": "result", "type": "Any"}, {"lineNumber": 120, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 121, "col_offset": 10, "nodeName": "array", "type": "Callable[..., numpy.ndarray]"}, {"lineNumber": 123, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 123, "col_offset": 32, "nodeName": "array", "type": "Callable[..., numpy.ndarray]"}, {"lineNumber": 124, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 125, "col_offset": 10, "nodeName": "sparse_top_k_categorical_accuracy", "type": "Any"}, {"lineNumber": 125, "col_offset": 52, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 125, "col_offset": 60, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 126, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 126, "col_offset": 23, "nodeName": "mean", "type": "Any"}, {"lineNumber": 126, "col_offset": 31, "nodeName": "result", "type": "Any"}, {"lineNumber": 127, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 128, "col_offset": 10, "nodeName": "sparse_top_k_categorical_accuracy", "type": "Any"}, {"lineNumber": 128, "col_offset": 52, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 128, "col_offset": 60, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 129, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 129, "col_offset": 23, "nodeName": "mean", "type": "Any"}, {"lineNumber": 129, "col_offset": 31, "nodeName": "result", "type": "Any"}, {"lineNumber": 130, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 131, "col_offset": 10, "nodeName": "sparse_top_k_categorical_accuracy", "type": "Any"}, {"lineNumber": 131, "col_offset": 52, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 131, "col_offset": 60, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 132, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 132, "col_offset": 23, "nodeName": "mean", "type": "Any"}, {"lineNumber": 132, "col_offset": 31, "nodeName": "result", "type": "Any"}, {"lineNumber": 135, "col_offset": 9, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 136, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 136, "col_offset": 32, "nodeName": "array", "type": "Callable[..., numpy.ndarray]"}, {"lineNumber": 137, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 137, "col_offset": 32, "nodeName": "array", "type": "Callable[..., numpy.ndarray]"}, {"lineNumber": 138, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 139, "col_offset": 10, "nodeName": "top_k_categorical_accuracy", "type": "Any"}, {"lineNumber": 139, "col_offset": 45, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 139, "col_offset": 53, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 140, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 140, "col_offset": 23, "nodeName": "mean", "type": "Any"}, {"lineNumber": 140, "col_offset": 31, "nodeName": "result", "type": "Any"}, {"lineNumber": 141, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 142, "col_offset": 10, "nodeName": "top_k_categorical_accuracy", "type": "Any"}, {"lineNumber": 142, "col_offset": 45, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 142, "col_offset": 53, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 143, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 143, "col_offset": 23, "nodeName": "mean", "type": "Any"}, {"lineNumber": 143, "col_offset": 31, "nodeName": "result", "type": "Any"}, {"lineNumber": 144, "col_offset": 15, "nodeName": "backend", "type": "module"}, {"lineNumber": 145, "col_offset": 10, "nodeName": "top_k_categorical_accuracy", "type": "Any"}, {"lineNumber": 145, "col_offset": 45, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 145, "col_offset": 53, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 146, "col_offset": 6, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 146, "col_offset": 23, "nodeName": "mean", "type": "Any"}, {"lineNumber": 146, "col_offset": 31, "nodeName": "result", "type": "Any"}, {"lineNumber": 31, "col_offset": 29, "nodeName": "random", "type": "Any"}, {"lineNumber": 32, "col_offset": 29, "nodeName": "random", "type": "Any"}, {"lineNumber": 35, "col_offset": 8, "nodeName": "self", "type": "KerasFunctionalMetricsTest"}, {"lineNumber": 40, "col_offset": 32, "nodeName": "random", "type": "Any"}, {"lineNumber": 41, "col_offset": 32, "nodeName": "random", "type": "Any"}, {"lineNumber": 42, "col_offset": 23, "nodeName": "eval", "type": "Any"}, {"lineNumber": 49, "col_offset": 10, "nodeName": "backend", "type": "module"}, {"lineNumber": 49, "col_offset": 23, "nodeName": "metric", "type": "Any"}, {"lineNumber": 49, "col_offset": 30, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 49, "col_offset": 38, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 56, "col_offset": 10, "nodeName": "backend", "type": "module"}, {"lineNumber": 56, "col_offset": 23, "nodeName": "metric", "type": "Any"}, {"lineNumber": 56, "col_offset": 30, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 56, "col_offset": 38, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 61, "col_offset": 10, "nodeName": "np", "type": "module"}, {"lineNumber": 63, "col_offset": 32, "nodeName": "np", "type": "module"}, {"lineNumber": 65, "col_offset": 10, "nodeName": "backend", "type": "module"}, {"lineNumber": 65, "col_offset": 23, "nodeName": "metric", "type": "Any"}, {"lineNumber": 65, "col_offset": 30, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 65, "col_offset": 38, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 70, "col_offset": 32, "nodeName": "random", "type": "Any"}, {"lineNumber": 71, "col_offset": 32, "nodeName": "random", "type": "Any"}, {"lineNumber": 72, "col_offset": 23, "nodeName": "eval", "type": "Any"}, {"lineNumber": 78, "col_offset": 13, "nodeName": "np", "type": "module"}, {"lineNumber": 79, "col_offset": 13, "nodeName": "np", "type": "module"}, {"lineNumber": 86, "col_offset": 13, "nodeName": "np", "type": "module"}, {"lineNumber": 86, "col_offset": 32, "nodeName": "float32", "type": "Any"}, {"lineNumber": 87, "col_offset": 13, "nodeName": "np", "type": "module"}, {"lineNumber": 93, "col_offset": 32, "nodeName": "np", "type": "module"}, {"lineNumber": 94, "col_offset": 32, "nodeName": "np", "type": "module"}, {"lineNumber": 96, "col_offset": 10, "nodeName": "metrics", "type": "module"}, {"lineNumber": 97, "col_offset": 23, "nodeName": "np", "type": "module"}, {"lineNumber": 99, "col_offset": 10, "nodeName": "metrics", "type": "module"}, {"lineNumber": 100, "col_offset": 23, "nodeName": "np", "type": "module"}, {"lineNumber": 102, "col_offset": 10, "nodeName": "metrics", "type": "module"}, {"lineNumber": 103, "col_offset": 23, "nodeName": "np", "type": "module"}, {"lineNumber": 106, "col_offset": 32, "nodeName": "np", "type": "module"}, {"lineNumber": 107, "col_offset": 32, "nodeName": "np", "type": "module"}, {"lineNumber": 109, "col_offset": 10, "nodeName": "metrics", "type": "module"}, {"lineNumber": 110, "col_offset": 23, "nodeName": "np", "type": "module"}, {"lineNumber": 112, "col_offset": 10, "nodeName": "metrics", "type": "module"}, {"lineNumber": 113, "col_offset": 23, "nodeName": "np", "type": "module"}, {"lineNumber": 115, "col_offset": 10, "nodeName": "metrics", "type": "module"}, {"lineNumber": 116, "col_offset": 23, "nodeName": "np", "type": "module"}, {"lineNumber": 121, "col_offset": 10, "nodeName": "np", "type": "module"}, {"lineNumber": 123, "col_offset": 32, "nodeName": "np", "type": "module"}, {"lineNumber": 125, "col_offset": 10, "nodeName": "metrics", "type": "module"}, {"lineNumber": 126, "col_offset": 23, "nodeName": "np", "type": "module"}, {"lineNumber": 128, "col_offset": 10, "nodeName": "metrics", "type": "module"}, {"lineNumber": 129, "col_offset": 23, "nodeName": "np", "type": "module"}, {"lineNumber": 131, "col_offset": 10, "nodeName": "metrics", "type": "module"}, {"lineNumber": 132, "col_offset": 23, "nodeName": "np", "type": "module"}, {"lineNumber": 136, "col_offset": 32, "nodeName": "np", "type": "module"}, {"lineNumber": 137, "col_offset": 32, "nodeName": "np", "type": "module"}, {"lineNumber": 139, "col_offset": 10, "nodeName": "metrics", "type": "module"}, {"lineNumber": 140, "col_offset": 23, "nodeName": "np", "type": "module"}, {"lineNumber": 142, "col_offset": 10, "nodeName": "metrics", "type": "module"}, {"lineNumber": 143, "col_offset": 23, "nodeName": "np", "type": "module"}, {"lineNumber": 145, "col_offset": 10, "nodeName": "metrics", "type": "module"}, {"lineNumber": 146, "col_offset": 23, "nodeName": "np", "type": "module"}, {"lineNumber": 31, "col_offset": 29, "nodeName": "np", "type": "module"}, {"lineNumber": 32, "col_offset": 29, "nodeName": "np", "type": "module"}, {"lineNumber": 35, "col_offset": 25, "nodeName": "eval", "type": "Any"}, {"lineNumber": 35, "col_offset": 38, "nodeName": "output", "type": "Any"}, {"lineNumber": 40, "col_offset": 32, "nodeName": "np", "type": "module"}, {"lineNumber": 41, "col_offset": 32, "nodeName": "np", "type": "module"}, {"lineNumber": 42, "col_offset": 23, "nodeName": "backend", "type": "module"}, {"lineNumber": 42, "col_offset": 36, "nodeName": "metric", "type": "Any"}, {"lineNumber": 42, "col_offset": 43, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 42, "col_offset": 51, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 70, "col_offset": 32, "nodeName": "np", "type": "module"}, {"lineNumber": 71, "col_offset": 32, "nodeName": "np", "type": "module"}, {"lineNumber": 72, "col_offset": 23, "nodeName": "backend", "type": "module"}, {"lineNumber": 72, "col_offset": 36, "nodeName": "metric", "type": "Any"}, {"lineNumber": 72, "col_offset": 43, "nodeName": "y_true", "type": "Any"}, {"lineNumber": 72, "col_offset": 51, "nodeName": "y_pred", "type": "Any"}, {"lineNumber": 86, "col_offset": 32, "nodeName": "np", "type": "module"}, {"lineNumber": 35, "col_offset": 25, "nodeName": "backend", "type": "module"}] |
{"poster":"Ghost Shadow26","date":"2016-09-03T01:18:27.141+0000","title":"¿Riot nos quiere espiar? Archivo: \"XIGNCODE3\" (Cambio no documentado)","subforum":"Charlas Generales","up_votes":58,"down_votes":4,"body":"Buenas a todos, me encontré con este informe en otro foro sobre un archivo que se añadido en el parche 6.16. Sin mas, los dejo con el post.\n(**Como siempre el link del post original al final de mismo. Gracias! ^^**)\n\n___\n\n>* **Introducción**\n\nCon el parche **6.16.153.2088** se añadió un programa llamado '**XIGNCODE3**' al ejecutable de League of Legends encontrado en la carpeta de "RADS\\solutions\\lol_game_client_sln\\releases\\0.0.1.143\\deploy".\n\nEste programa es etiquetado cómo **software espía (spyware)** por algunos antivirus debido la naturaleza del programa y cómo se comporta. Me gustaría ser transparente acerca de eso y darle a la comunidad información acerca de actividades no documentadas en el juego que puedan comprometer nuestra privacidad.\n\n>* **XIGNCODE3: ¿Qué es?**\n\n'**XIGNCODE3**' es un software creado por **Wellbia**, una compañía de protección de datos con sede en Corea del Sur. Este programa es usado principalmente en **juegos online** del **mercado asiático** cómo **anticheat** (para detectar programas de terceros ilegales).\n\nEllos describen su programa cómo "[...] the next generation of gaming security solution mainly for online gaming service, currently patented and registered as a “one-time executable code structure”, which allows levels of various security policies according to company management measurements.".\n >* **XIGNCODE3: Características y... ¿Software espía?**\n\nTengo fuertes razones para creer que '**XIGNCODE3**' es, de hecho, un software espía por llevar a cabo las funciones [**mencionadas por Wellbia en su propia página web**](http://www.wellbia.com/home/en/pages/xigncode3/).\n\nSi buscas "xigncode" en Google, encontraras varios hilos en foros de otros juegos con quejas de 'XIGNCODE3'. La mayoría de ellos mencionan que dicho software les provoca **problemas** y es detectado cómo **malware (virus)** por diversos programas antivirus.\n\nYo creo que un anticheat va demasiado lejos cuando **empieza a escanear todo el ordenador** en busca de los archivos a los que se ha accedido en las **últimas 48 horas** [[Fuente]](https://www.reddit.com/r/DFO/comments/30tcb6/xigncode_looks_at_all_files_youve_accessed_in_the/).\n\nTodos estos datos pueden ser (en principio) usados simplemente para detectar programas ilegales, pero algún día pueden terminar en las manos equivocadas ya sea por un ataque de hackers o por cualquier leak de datos que pueda haber. Las compañías que distribuyen League of Legends deberán ir con mucho cuidado con lo que están haciendo y el camino que están tomando.\n\n>* **Estado Actual**\n\nHe examinado el estado actual de '**XIGNCODE3**' y parece que de momento solo está activo en el servidor de Corea (KR). Aun así, el programa **sigue dentro del ejecutable del juego** y técnicamente **podrían activarlo** en cualquier momento **sin previo aviso**.\n\nSolo quería informar a la comunidad de la existencia de dicho software espía oculto que pese estar actualmente inoperativo en todas las regiones (excepto KR), se carga cada vez que empiezas una partida.\n\n>* **FAQ (Preguntas & Respuestas)**\n\nHe elaborado un preguntas y respuestas para resolver/ampliar la información dada anteriormente.\n___\n\n>* **Pregunta: ¿Qué ocurre si juego en un cibercafé y 48 horas antes alguien ha usado programas de terceros ilegales pero yo no los inicio ni hago uso de ellos? (XIGNCODE3 examina todos los archivos que han sido usados en los últimos 2 días/48 horas).**\n\n**Respuesta:** Yo confío en que los desarrolladores League of Legends son lo suficientemente inteligentes cómo para darse cuenta de si un programa de terceros ilegal está siendo utilizado o no. En teoría, tu cuenta podría estar en peligro si decidiesen poner en marcha 'XIGNCODE3' en todas las regiones y lo mencionado en la pregunta ocurriese.\n\n Pero hay que tener en cuenta que actualmente una fracción significativa de los jugadores coreanos también juega en cibercafés, por lo que habría una gran cantidad de falsos positivos si baneasen ciegamente basándose en 'XIGNCODE3'. Así que lo más probable es que no lo usen cómo prueba concluyente a la hora de suspender jugadores.\n\n___\n\n>* **Pregunta: ¿Está actualmente activo 'XIGNCODE3' en otras regiones que no sean Corea?**\n \n**Respuesta:** No. Aunque 'XIGNCODE3' está incrustado en el ejecutable del juego (League of Legends.exe) en todas las regiones, de momento solo está activo en el servidor coreano (KR).\n\n___\n\n>* **Pregunta: ¿Es posible que 'XIGNCODE3' se active en otras regiones?**\n\n**Respuesta:** Técnicamente, sí. Sin embargo, hay indicios que muestran que solo será activado en Corea, ya que puede ser bastante invasivo para la privacidad y la seguridad de los jugadores, así que es muy poco probable que se llegue a habilitar en otras regiones.\n\n___\n\n>* **Pregunta: ¿Por qué en Corea lo activan? ¿Es legal que examinen todos los archivos de nuestro ordenador?**\n\n**Respuesta:** En Corea tienen un contrato para League of Legends distinto al resto de regiones, por lo que es legal hacerlo. En el resto de regiones podrían modificar la política de privacidad en cualquier momento y volverlo en cierto modo "legal". Aunque cómo ya he mencionado antes seria muy invasivo para los jugadores.\n\n___\n\n>* **Pregunta: ¿No ha habido avisos de la implementación de 'XIGNCODE3'? ¿Cuándo se puso en marcha?**\n\n**Respuesta:** No. Nadie ha dicho nada acerca de dicho cambio en un mes, así que el sentido común me dice que si Riot Games no tienen planeado hacerlo nunca, tengo que advertir a la comunidad acerca de este cambio no documentado. 'XIGNCODE3' se implementó el día 2 de agosto de 2016 (02/08/2016).\n\n___\n\n>* **Pregunta: ¿Puedo desinstalar XIGNCODE3 o inhabilitarlo de algún modo?**\n\n**Respuesta:** No. Ya que XIGNCODE3 está incrustado dentro del código del juego (League of Legends.exe) no se puede desinstalar ni inhabilitar de ningún modo.\n\n___\n\nCrees que sacrificar la privacidad de los jugadores para detectar a los que obtienen ventaja injusta (programas de terceros) es justificable?\n\nSiéntanse libres de compartir sus opiniones sobre la implementación de **XIGNCODE3** en League of Legends.\n\n* [**Post Original**](http://boards.euw.leagueoflegends.com/es/c/miscelanea-es/ZZykjnEN-i-riot-nos-quiere-espiar-i-cambios-no-documentados-xigncode3)","replies":[{"poster":"resnov15","date":"2016-09-03T01:39:09.569+0000","up_votes":12,"down_votes":0,"body":"Tiembla Mauricio Macri,Kenshiro,Fede y muchos mas","replies":[{"poster":"Hnk Kenshiro","date":"2016-09-03T02:52:19.440+0000","up_votes":6,"down_votes":0,"body":"Aun tengo que leer el post pero...\n\nCustom skin alivian mi pobreza.","replies":[]},{"poster":"Thails SirYordle","date":"2016-09-03T01:40:37.610+0000","up_votes":2,"down_votes":0,"body":"> [{quoted}](name=resnov15,realm=LAS,application-id=v7qsfXsE,discussion-id=8MjhGUoq,comment-id=0003,timestamp=2016-09-03T01:39:09.569+0000)\n>\n> Tiembla Mauricio Macri,Kenshiro,Fede y muchos mas\n\nporque lo dices? xD","replies":[{"poster":"resnov15","date":"2016-09-03T01:42:54.373+0000","up_votes":6,"down_votes":0,"body":"Citando uno de los comentarios del post original .\n\"Yo ya he visto y vivido el rechazo a software por este mismo tema.A mi personalmente no me gustatia nada que analizaran todo lo que hago y no con mi pc, es un ataque a la privacidad, y tengo demasiado hentai por ver aun para que moralistas me juzguen :v\"","replies":[{"poster":"Yellow Sphere","date":"2016-09-03T07:43:54.421+0000","up_votes":5,"down_votes":0,"body":"¡¿Alguien dijo hentai?!\n{{sticker:zombie-nunu-hearts}}","replies":[{"poster":"iLegault","date":"2016-09-03T19:57:59.943+0000","up_votes":3,"down_votes":0,"body":"7u7","replies":[]}]},{"poster":"Thails SirYordle","date":"2016-09-03T01:51:06.808+0000","up_votes":3,"down_votes":0,"body":"> [{quoted}](name=resnov15,realm=LAS,application-id=v7qsfXsE,discussion-id=8MjhGUoq,comment-id=000300000000,timestamp=2016-09-03T01:42:54.373+0000)\n>\n> Citando uno de los comentarios del post original .\n> "Yo ya he visto y vivido el rechazo a software por este mismo tema.A mi personalmente no me gustatia nada que analizaran todo lo que hago y no con mi pc, es un ataque a la privacidad, y tengo demasiado hentai por ver aun para que moralistas me juzguen :v"\n\njajajajaja","replies":[]}]}]},{"poster":"FedecarboneroUY","date":"2016-09-03T03:14:43.166+0000","up_votes":2,"down_votes":1,"body":"eueueueu, yo no quiero que nadie vea ninguna Foto de Vale e_e\n\nxD ni nada más alguna cosilla que tenga por ahí\n\nPD: Todo contenido que sea de anime no se encuentra en mi pc, preguntar por Kenshiro","replies":[{"poster":"PentakiII","date":"2016-09-03T16:37:25.464+0000","up_votes":1,"down_votes":0,"body":"Hola amigo de Dwarf","replies":[{"poster":"FedecarboneroUY","date":"2016-09-03T19:27:34.910+0000","up_votes":2,"down_votes":0,"body":"xDDD \"amigo de Dwarf\" jajaja, Dwarf me odia en secreto :v","replies":[]}]}]},{"poster":"Nombre ofensivo","date":"2016-09-03T02:20:57.162+0000","up_votes":2,"down_votes":0,"body":"mehj, no hace falta ser un genio para agregarle una linea al programa que muestre los programas que se ejecutan en el momento. sino escribi en el CMD \"tasklist\" y listo","replies":[]}]},{"poster":"Quo","date":"2016-09-03T01:20:51.726+0000","up_votes":7,"down_votes":0,"body":"La verdad es que es un tema bastante interesante, por un lado estan ofreciendo un sistema eficaz para la detección de programas de terceros que otorguen ventajas al jugador, pero por otro lado es nuestra privacidad la que esta en juego, quiza no se menciono en los parches porque aun esta en fase de pruebas solo en corea y por el hecho de que los parches tratan cosas in-game, igual no estaria mal la intervención de algun rioter que se pronuncie acerca del tema ya que como tu dices, es privacidad y quien sabe lo que pueden hacer con ella si llegase a malas manos.","replies":[]},{"poster":"Excandésco","date":"2016-09-03T02:57:34.441+0000","up_votes":3,"down_votes":16,"body":"Y que tanto temes que te espien?\n\nTus busquedas de pron? Bleh....\n\n{{sticker:zombie-brand-facepalm}}","replies":[{"poster":"FedecarboneroUY","date":"2016-09-03T03:12:32.769+0000","up_votes":11,"down_votes":2,"body":"éso es lo de menos, pensá bien ...","replies":[{"poster":"Excandésco","date":"2016-09-03T03:16:01.271+0000","up_votes":2,"down_votes":15,"body":"> [{quoted}](name=FedecarboneroUY,realm=LAS,application-id=v7qsfXsE,discussion-id=8MjhGUoq,comment-id=00070000,timestamp=2016-09-03T03:12:32.769+0000)\n>\n> éso es lo de menos, pensá bien ...\n\nNi te imaginas lo bien que sabo pensar, pero eso no cambiara mi respuesta.\n\nQue taaaanta privacidad puede tener un granoso adolescente? lel\n\n{{sticker:zombie-brand-facepalm}}","replies":[{"poster":"FedecarboneroUY","date":"2016-09-03T03:36:49.279+0000","up_votes":12,"down_votes":2,"body":"Bueno, si vos sos así y no tenés nada que ocultar bien por vos xD\nhay gente que tramita cuentas bancarias, tienen contraseñas de cosas, tienen X archivos, y muchísimas cosas más..","replies":[{"poster":"RedKi","date":"2016-09-03T15:27:17.533+0000","up_votes":1,"down_votes":3,"body":"Y pero vos crees que Riot va a ponerse a revisar y robar cuentas bancarias o a robarte la contraseña del Fb y mirar tus conversaciones? Pls","replies":[{"poster":"fenakz","date":"2016-09-03T15:46:08.820+0000","up_votes":3,"down_votes":0,"body":"> [{quoted}](name=RedKi,realm=LAS,application-id=v7qsfXsE,discussion-id=8MjhGUoq,comment-id=00070000000000000000,timestamp=2016-09-03T15:27:17.533+0000)\n>\n> Y pero vos crees que Riot va a ponerse a revisar y robar cuentas bancarias o a robarte la contraseña del Fb y mirar tus conversaciones? Pls\n\nLeiste todo? nadie dice que riot lo va a leer/robar/hackear, dice que puede caer en manos de \"cualquiera\" y puede hacer desastre. Y pasa... nadie dice que no, pasa en bancos, empresas de electrodoméstico pasando \"data\" a la empresa rival, cosas pequeñas que perjudican a algunos inocentes, me explico?","replies":[]}]}]}]}]}]},{"poster":"Nira","date":"2016-09-03T14:49:15.102+0000","up_votes":4,"down_votes":0,"body":"Riot quiere ver si logramos el Septiembre sin FAP , pero sabes algo Riot ? Te fallé , les fallé señores :´v","replies":[{"poster":"wattefak","date":"2016-09-03T17:14:52.856+0000","up_votes":1,"down_votes":0,"body":"3 sacudidas y estas fuera{{champion:201}}\ngg","replies":[]}]},{"poster":"Turing Test","date":"2016-09-03T05:58:19.817+0000","up_votes":3,"down_votes":0,"body":"Mientras no afecte el rendimiento del juego en absoluto, me pueden abducir si quieren. Pero algo que no soporto es que estos anticheats tengan un impacto tan negativo en el juego que prefiera luchar contra los scripters","replies":[]},{"poster":"Jade Fang","date":"2016-09-04T00:36:57.893+0000","up_votes":2,"down_votes":0,"body":"Si de verdad creen que siguen vírgenes... estamos mal...ya le han violado la privacidad millones de veces, sus datos son mas fáciles que una {{champion:103}} están por todos lados ya... aunque son de empresas que no te hackearan mayormente pero que te viven espiando si... {{item:3649}}","replies":[{"poster":"dirulai","date":"2016-09-04T00:59:26.783+0000","up_votes":1,"down_votes":0,"body":"Hay que tener en cuenta, que si hablamos de Privacidad riot sabe todo sobre sus jugadores, Objetivamente claro esta, Pero dudo que le interese a riot a que hora duermes, si tienes vida social o cosas por el estilo(que es ilegal y esta penado en todos los paises(exepto en dubai))","replies":[{"poster":"Jade Fang","date":"2016-09-04T01:30:17.431+0000","up_votes":1,"down_votes":0,"body":"Hablaba de datos obviamente... datos que le sirven a empresas para ver que te interesa (suele ser lo que nos viven haciendo siempre) y así testear los intereses que tenemos o datos de cuentas (de correo o de bancos, aunque esto no suele suceder ) ,etc. No digo que a Riot le importe esto... no creo que se manche por esto pero... puede pasar que un día se pierdan los datos. Eso es lo que preocupa a muchos... aunque yo creo que no se molestaran en robar a nosotros, antes a USA... xD y hay otros motivos que me hacen creer que violación de cuentas bancarias y eso no sucedería.","replies":[]}]}]},{"poster":"Green jester","date":"2016-09-03T18:05:31.414+0000","up_votes":2,"down_votes":0,"body":"ahora diran: \"lo pusimos porque nos parecía gracioso\" -riot recorcholis","replies":[]},{"poster":"La corrupción","date":"2016-09-03T01:32:45.895+0000","up_votes":2,"down_votes":0,"body":"Creo que esto invocará a un rioter en menos de una hora, si no es así, riot nos espía","replies":[{"poster":"Vaendrys","date":"2016-09-03T10:22:32.496+0000","up_votes":3,"down_votes":1,"body":"9 horas y no aparecen.\n9/3=3 illuminate confirmed","replies":[]}]},{"poster":"Thails SirYordle","date":"2016-09-03T01:30:33.828+0000","up_votes":2,"down_votes":0,"body":"Disculpa pero no comprendo muy bien el tema compañero, con el tema de privacidad, ademas de el programa ver si uso programas de terceros o no, que otras cosas puedes saber, que otra informacion puede recaudar por lo cual la privacidad esta en juego?","replies":[{"poster":"Ghost Shadow26","date":"2016-09-03T01:38:04.504+0000","up_votes":1,"down_votes":0,"body":"El archivo mencionado, escanea el ordenador en busca de archivos los cuales has abierto en las ultimas 48 horas, es decir, los programas que haz ejecutado, instalado, borrado, etc.","replies":[]}]},{"poster":"Tyrr Judicator","date":"2016-09-03T04:45:03.926+0000","up_votes":3,"down_votes":1,"body":"Y asi es como nacen nuestros locos del foro. Empiezan con algo como esto y terminan haciendo streams de ellos cosplayando annie mientras juegan en una tostadora. 11/09 perfecto.{{sticker:slayer-pantheon-thumbs}}","replies":[]},{"poster":"Nombre ofensivo","date":"2016-09-03T02:19:43.806+0000","up_votes":3,"down_votes":2,"body":"Me parece algo logico departe de la empresa no dar a conocer los sistemas anticheat. Respecto a confiar mi informacion ya lo hago entrando a cualquier pagina salvo cuando uso Tor Browser.","replies":[]},{"poster":"AuroraExecution","date":"2016-09-03T01:39:57.840+0000","up_votes":3,"down_votes":2,"body":"Interesante, espero que un rioter se haga presente y de una explicacion","replies":[{"poster":"Shappaw","date":"2016-09-03T10:13:19.587+0000","up_votes":1,"down_votes":0,"body":"^","replies":[]}]},{"poster":"Zenny","date":"2016-09-03T03:47:52.018+0000","up_votes":1,"down_votes":0,"body":"Pero solo es en Corea\n¿En que nos afecta a nosotros?...y a demacia","replies":[{"poster":"Ministevo","date":"2016-09-03T14:05:14.883+0000","up_votes":2,"down_votes":1,"body":"Sólo es en Corea... por ahora...","replies":[]}]},{"poster":"Kanan","date":"2016-09-03T06:04:56.389+0000","up_votes":1,"down_votes":0,"body":"BORREN EL CP Y LAS LOLISSS ANTES DE QUE SEA DEMASIADO TARDEEEEE","replies":[{"poster":"Vaendrys","date":"2016-09-03T10:25:35.063+0000","up_votes":2,"down_votes":1,"body":"El fbi te espía papu.","replies":[]}]},{"poster":"lanchi123","date":"2016-09-03T08:01:46.863+0000","up_votes":2,"down_votes":1,"body":"¿Mis packs ya no están a salvo? D:","replies":[]},{"poster":"DIOS TUTI","date":"2018-06-14T03:35:34.549+0000","up_votes":1,"down_votes":0,"body":"anticheat? antiscripts?","replies":[]},{"poster":"Howai","date":"2018-06-14T03:17:27.035+0000","up_votes":1,"down_votes":0,"body":"Una pregunta, tenes idea si otros juegos por ejemplo MMORPG están involucrados con este programa? ya que me di cuenta que tenía este programa ya que al abrir el TERA, aparecio el programa cargando y no tenía idea de que fuese de riot","replies":[]},{"poster":"I AM WILDCAT","date":"2016-09-04T20:14:39.123+0000","up_votes":1,"down_votes":0,"body":"Espero que no me descubran el pac","replies":[]},{"poster":"dirulai","date":"2016-09-04T00:57:21.736+0000","up_votes":1,"down_votes":0,"body":"Hisiste reir al maestruli.","replies":[]},{"poster":"TheUnknownx","date":"2016-09-04T00:07:14.711+0000","up_votes":1,"down_votes":0,"body":"Interesante, me parece raro que este lo hayan agregado sin previo aviso y que Rito no haya dicho absolutamente nada de aquel.. :/","replies":[]},{"poster":"lordeman10","date":"2016-09-03T19:57:22.332+0000","up_votes":1,"down_votes":0,"body":"fsociety00.dat","replies":[]},{"poster":"wattefak","date":"2016-09-03T17:19:23.387+0000","up_votes":1,"down_votes":0,"body":"no puedo quejarme si acepte los terminos y condiciones de uso que no lei{{summoner:3}}","replies":[]},{"poster":"Thelordmarshall","date":"2016-09-03T16:13:47.222+0000","up_votes":1,"down_votes":0,"body":"Borrenlo de la pc y ya esta..... :V","replies":[]},{"poster":"Koijhy","date":"2016-09-03T02:32:45.365+0000","up_votes":1,"down_votes":0,"body":"mucho anti-cheat pero todos lo meses al menos 2-3 cheters me cruzo con el tipico Script de dodge o el de auto-kiting(comúnmente kogmaws)/last-hit\n\ntranquilamente con eso pueden sacar tus contraseñas guardadas de los navegadores y robarte datos personales","replies":[{"poster":"Zenny","date":"2016-09-03T14:53:42.730+0000","up_votes":1,"down_votes":0,"body":"Y para que Riot te va a sacar los datos personales tuyos","replies":[]}]},{"poster":"Pucci","date":"2016-09-03T13:31:26.501+0000","up_votes":1,"down_votes":0,"body":"Gracias por compartir esto {{sticker:slayer-pantheon-thumbs}}","replies":[]},{"poster":"BUSCANDO A JORGE","date":"2016-09-03T06:29:46.775+0000","up_votes":1,"down_votes":0,"body":"Poz a mi no me lo detecta como amenaza, y poz no me importa que me espíen mientras que google, facebook,etc lo hacen.","replies":[]}]} |
["481c2fcef6109d18e702b68a46a673f0101879c6","a82d70f3e73521caa7c68170eed66e98c5c05c3c","a1531351cdc7e9902644f43801fa3c9829928584","6b9f77470ef5a3a176180a17fb8988f17898ecf5","8539581ed1627edc3dcddb3878376d2998c6dbf1","2c5ee7707251bc166ce457de86557de35513b37a","ca4b699977bc3db97a7afa599b5e34d653ea7f32"] |
{"latitude":33.1286,"longitude":-117.156,"zipcode":"92096","msa":"7320","dma":"825","state":"CA"} |
{"id":6969,"kabid":508,"name":"Batanta Selatan","hash":"8903581334d373ca929f1e014f4edb42"}
|
{"geometry":{"type":"Polygon","coordinates":[[[12.388776,45.982136],[12.388736,45.981236],[12.387448,45.981265],[12.387170,45.974963],[12.380729,45.975107],[12.380690,45.974207],[12.379402,45.974236],[12.379441,45.975136],[12.376865,45.975194],[12.376904,45.976094],[12.379481,45.976036],[12.379520,45.976937],[12.382097,45.976879],[12.382136,45.977779],[12.383425,45.977750],[12.383464,45.978651],[12.384752,45.978622],[12.384792,45.979522],[12.386080,45.979493],[12.386199,45.982194],[12.388776,45.982136]]]},"properties":{"qs:a1r":"0Veneto","qs:la":"Sarmede","geom:longitude":12.384002,"qs:la_lc":"*IT205026078","lbl:latitude":45.976250,"qs:loc_alt":"Sarmede","iso:country":"IT","src:geom_alt":[],"wof:geomhash":"54e082e48c7cc23fe88f8b965766facb","qs:level":"locality","wof:name":"Sarmede","name:ita_p":["Sarmede"],"qs:adm0":"Italia","wof:breaches":[],"src:geom":"quattroshapes","wof:hierarchy":[{"locality_id":101793075,"country_id":85633253,"region_id":85685297}],"qs:type":"rural point-in-poly","qs:loc":"Sarmede","wof:id":101793075,"qs:pop":0,"lbl:longitude":12.385810,"wof:supersedes":[],"geom:area":0.000033,"geom:latitude":45.977255,"qs:source":"ACustom EuroGlobalMap + UMZ Urban Polygons + Geonames + GeoPlanet","src:centroid_lbl":"geonames","wof:belongsto":[85633253,85685297],"wof:placetype":"locality","gn:population":1075,"qs:a0":"Italia","qs:a1":"*Treviso","wof:lastmodified":1439924439,"gn:elevation":103,"wof:superseded_by":[],"wof:concordances":{"gn:id":3167122,"gp:id":723732,"qs:id":4,"fct:id":"12b857a4-8f76-11e1-848f-cfd5bf3ef515"},"wof:parent_id":85685297},"type":"Feature","bbox":[12.376865,45.974207,12.388776,45.982194],"id":101793075} |
[
{
"hole_count": {
"東1": 0,
"東2": 0,
"東3": 0,
"東4": 0,
"東5": 0,
"東6": 0,
"東7": 4,
"東8": 0
}
},
"開始早々、たくさんの方にお越しいただき感謝です！「よさこいアクリルストラップ風町陽歌」に引き続き「よさこいアクリルストラップ重藤秋穂」は完売です(>_<)ありがとうございます！東7た05ab\n※のぶさんは何も描いておりません。売り場にいるだけです。\n#コミックマーケット93",
"「よさこいアクリルストラップ森園芽以」、「よさこいアクリルストラップ豊永日々喜」共に完売いたしました！ありがとうございます！東7た05ab\n\n#コミックマーケット93",
"たくさんの方にお越しいただきありがとうございます！メモさんの新刊「COLORFUL」は完売いたしました！ありがとうございます！東7た05ab\n\n#コミックマーケット93",
"たくさんの方にお越しいただきありがとうございます！メモさんの新刊「COLORFUL」は完売いたしました！ありがとうございます！東7た05ab\n\n#コミックマーケット93"
] |
{"code":"3527072002","province_code":"35","regency_code":"3527","district_code":"352707","name":"PLAKARAN"} |
{"geometry":{"type":"Polygon","coordinates":[[[4.361572,50.825784],[4.362946,50.825059],[4.364319,50.825784],[4.364799,50.825024],[4.364617,50.824156],[4.364799,50.823288],[4.367065,50.823288],[4.369812,50.823288],[4.369812,50.821553],[4.369812,50.819818],[4.369812,50.818083],[4.369812,50.816348],[4.369812,50.814612],[4.372559,50.814612],[4.373107,50.813745],[4.374757,50.813745],[4.375305,50.812877],[4.375305,50.811142],[4.375854,50.810274],[4.375305,50.809406],[4.374757,50.808538],[4.372559,50.808538],[4.372064,50.808147],[4.369812,50.809334],[4.367065,50.807885],[4.366105,50.809406],[4.361572,50.809406],[4.357040,50.809406],[4.357040,50.809406],[4.356079,50.809406],[4.356079,50.811142],[4.353333,50.811142],[4.353333,50.812877],[4.350586,50.812877],[4.350586,50.814612],[4.347839,50.814612],[4.347839,50.816348],[4.347839,50.816419],[4.349865,50.817488],[4.349991,50.818083],[4.349865,50.818678],[4.350586,50.819818],[4.353333,50.819818],[4.353333,50.821553],[4.356079,50.821553],[4.356079,50.823288],[4.358826,50.823288],[4.358826,50.825024],[4.361092,50.825024],[4.361572,50.825784]]]},"id":85800787,"type":"Feature","properties":{"geom:longitude":4.362067,"misc:woe_lau":12602248,"misc:localhoods":75,"misc:name_local":"Bruxelles","gn:id":"","src:geom_alt":[],"wof:hierarchy":[{"locality_id":101751573,"county_id":102049957,"country_id":85632997,"region_id":85681713,"neighbourhood_id":85800787}],"misc:placetype":"Suburb","iso:country":"","misc:name_adm0":"Belgique","wof:geomhash":"6788667272a60c6033e3116e12b9f981","misc:woe_ver":"7.10.0","wof:name":"Bascule","wof:parent_id":101751573,"wof:lastmodified":1439487993,"src:geom":"quattroshapes","wof:supersedes":[],"misc:name":"Bascule","wof:id":85800787,"misc:quad_count":53,"misc:local_max":62861,"wof:breaches":[],"misc:name_lau":"Ukkel","misc:gn_id":0,"geom:area":0.000292,"geom:latitude":50.816066,"name:dut_p":["Bascule"],"misc:photo_sum":1905,"misc:name_adm1":"R\u00e9gion de Bruxelles-Capitale","misc:name_adm2":"Brussel Hoofdstad","misc:woe_local":968019,"misc:photo_max":231,"wof:belongsto":[101751573,102049957,85632997,85681713],"wof:placetype":"neighbourhood","misc:woe_adm1":55965974,"misc:woe_adm0":23424757,"misc:woe_adm2":12591762,"misc:gn_local":0,"misc:local_sum":208570,"wof:concordances":{"gp:id":966900,"qs:id":1102858},"wof:superseded_by":[]},"bbox":[4.347839,50.807885,4.375854,50.825784]} |
{"poster":"aloudasian","date":"2016-09-01T01:55:40.407+0000","title":"High ping when playing ranked (unplayable), but not in customs","subforum":"[ARCHIVED] Help & Support","up_votes":2,"down_votes":0,"body":"Ran into something really strange today, loaded into a ranked game and experienced very high ping (200+), leading to the game eventually becoming totally unresponsive. After the loss, I tested my ping in a custom, which showed the regular 15, and proceeded to load into another ranked, and ran into the same problem again. I'm baffled as to why this is happening, and I have not experienced slower connection in any other application and games (Chrome, Overwatch, etc.). At this point I'm not going to start up another game, but I am still able to login and create custom games with low ping with no problems. Help would be greatly appreciated.","replies":[{"poster":"Targons Blade","date":"2016-09-01T20:38:18.377+0000","up_votes":1,"down_votes":0,"body":"It sounds like your connection to that *specific* server could be encountering issues along the route it takes. We can definitely take a look at your route, but first, we need to ensure your local network settings aren't interfering with your route. Refer to our [connection troubleshooting guide](https://support.riotgames.com/hc/en-us/articles/201752664-Troubleshooting-Connection-Issues) for a comprehensive list of common solutions for these types of issues.\n\nLet me know if those steps resolved or caused any changed in your connection to Ranked matches.","replies":[{"poster":"aloudasian","date":"2016-09-01T21:57:32.318+0000","up_votes":1,"down_votes":0,"body":"Local network settings have not been altered recently, I have played with current settings in the recent past with no problems. I've cleared DNS and cache. Is there anyway I can test connection without actually risking another loss and ban? Pinging the server in question perhaps?","replies":[{"poster":"Targons Blade","date":"2016-09-01T23:55:09.958+0000","up_votes":1,"down_votes":0,"body":"You can test your connection to the server by running a traceroute in the windows command prompt with [our guide.](https://support.riotgames.com/hc/en-us/articles/201752674-Network-System-and-League-of-Legends-Logs#wq2)\n\nFeel free to paste the results here so we can take a look.","replies":[{"poster":"aloudasian","date":"2016-09-02T00:51:15.110+0000","up_votes":1,"down_votes":0,"body":"The support site seems to be down atm, I ran a tracert to what I think are the servers in question, and got this: http://puu.sh/qWRUh/ca84ef235d.png","replies":[{"poster":"Targons Blade","date":"2016-09-04T15:23:01.464+0000","up_votes":1,"down_votes":0,"body":"That's close, but not quite the server we use. I'll instead recommend running a full traceroute with [WinMTR](http://winmtr.net/) and the IP 104.160.131.1\n\nRun a trace for 5 minutes, then export the results as text. You'll then be able to paste the text results here.","replies":[]}]}]}]}]},{"poster":"I Suck at Naming","date":"2016-09-01T03:55:33.223+0000","up_votes":1,"down_votes":0,"body":"I'm having the same issue. It only happens at night, but just like you it's in Ranked only. The last time it happened my ping was 250~, but the Normal game before and the Normal game after were at the regular 50~ ping. I tried checking my internet speed during the Ranked match, but it was fine.\n\nIt has been happening for about a week now, so I hope that it is something that can be fixed soon. I play mostly ranked so the threat of a randomly appearing unavoidable loss isn't very fun.","replies":[{"poster":"aloudasian","date":"2016-09-01T04:14:57.954+0000","up_votes":1,"down_votes":0,"body":"Is this an intermittent issue for you? I played a ranked last night and it went without a hitch, I've only encountered it today.","replies":[{"poster":"I Suck at Naming","date":"2016-09-02T00:39:46.751+0000","up_votes":1,"down_votes":0,"body":"It happens seemingly at random, only ever in Ranked though. Sometimes it will happen twice in one day, sometimes I never come across it. The post about the connection with a specific server being a problem makes a lot of sense.","replies":[]}]}]}]} |
{
"dc:identifier": [
"hart:1308287",
"1308287"
],
"dc:creator": [
"artist: John Everett Millais (British, 1829-1896)"
],
"dc:subject": [
"Paintings (visual works)",
"Meditation"
],
"dc:date": [
"Creation date: 1859"
],
"dc:description": [
"artist: John Everett Millais (British, 1829-1896)"
],
"dc:memberOf": [
{
"href": "urn:x-umich:collection:hart",
"title": "History of Art Department, Visual Resources Collections"
},
{
"href": "urn:x-umich:group:arch-ic",
"title": "Architecture"
},
{
"href": "urn:x-umich:group:art-ic",
"title": "Art / Art History"
},
{
"href": "urn:x-umich:group:photo-ic",
"title": "Photography"
},
{
"href": "urn:x-umich:group:vrc-ic",
"title": "Visual Resources Collections"
}
],
"hart:hart_cr": [
"artist: John Everett Millais (British, 1829-1896)"
],
"hart:hart_da": [
"Creation date: 1859"
],
"hart:hart_lo": [
"Repository: King's College (University of Cambridge) (Cambridge, Cambridgeshire, England, United Kingdom)"
],
"hart:hart_ordno": [
"260138"
],
"hart:hart_su": [
"Paintings (visual works)",
"Meditation"
],
"hart:hart_wono": [
"552954"
]
} |
{"notes": [{"tddate": null, "replyto": null, "ddate": null, "tmdate": 1528124437488, "tcdate": 1518460894341, "number": 201, "cdate": 1518460894341, "id": "BJI1eDyvz", "invitation": "ICLR.cc/2018/Workshop/-/Submission", "forum": "BJI1eDyvz", "signatures": ["~Thomas_Anderson_Keller1"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Workshop"], "content": {"title": "Fast Weight Long Short-Term Memory", "abstract": "Associative memory using fast weights is a short-term memory mechanism that substantially improves the memory capacity and time scale of recurrent neural networks (RNNs). As recent studies introduced fast weights only to regular RNNs, it is unknown whether fast weight memory is beneficial to gated RNNs. In this work, we report a significant synergy between long short-term memory (LSTM) networks and fast weight associative memories. We show that this combination, in learning associative retrieval tasks, results in much faster training and lower test error, a performance boost most prominent at high memory task difficulties.", "paperhash": "keller|fast_weight_long_shortterm_memory", "keywords": ["Fast Weights", "LSTM", "Long Short-Term Memory", "Associative Memory", "Recurrent", "RNN"], "_bibtex": "@misc{\n keller2018fast,\n title={Fast Weight Long Short-Term Memory},\n author={T. Anderson Keller and Sharath Nittur Sridhar and Xin Wang},\n year={2018},\n url={https://openreview.net/forum?id=BJI1eDyvz}\n}", "authorids": ["andy.a.keller@intel.com", "sharath.nittur.sridhar@intel.com", "xin3.wang@intel.com"], "authors": ["T. Anderson Keller", "Sharath Nittur Sridhar", "Xin Wang"], "TL;DR": "We show that LSTM with fast weight associative memory trains much faster and achieves lower test error in associative retrieval tasks than previously reported fast weights RNNs.", "pdf": "/pdf/66d5ab22b286c409cc74fe2d585236a2af843896.pdf"}, "nonreaders": [], "details": {"replyCount": 8, "writable": false, "overwriting": [], "revisions": true, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "duedate": 1518472800000, "tmdate": 1518474081690, "id": "ICLR.cc/2018/Workshop/-/Submission", "writers": ["ICLR.cc/2018/Workshop"], "signatures": ["ICLR.cc/2018/Workshop"], "readers": ["everyone"], "invitees": ["~"], "reply": {"forum": null, "replyto": null, "writers": {"values": ["ICLR.cc/2018/Workshop"]}, "signatures": {"values-regex": "~.*|ICLR.cc/2018/Workshop", "description": "Your authorized identity to be associated with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"pdf": {"required": true, "order": 9, "value-regex": "upload", "description": "Upload a PDF file that ends with .pdf"}, "title": {"required": true, "order": 1, "description": "Title of paper.", "value-regex": ".{1,250}"}, "abstract": {"required": true, "order": 8, "description": "Abstract of paper.", "value-regex": "[\\S\\s]{1,5000}"}, "authors": {"required": true, "order": 2, "values-regex": "[^;,\\n]+(,[^,\\n]+)*", "description": "Comma separated list of author names. Please provide real names; identities will be anonymized."}, "keywords": {"order": 6, "values-regex": "(^$)|[^;,\\n]+(,[^,\\n]+)*", "description": "Comma separated list of keywords."}, "TL;DR": {"required": false, "order": 7, "description": "\"Too Long; Didn't Read\": a short sentence describing your paper", "value-regex": "[^\\n]{0,500}"}, "authorids": {"required": true, "order": 3, "values-regex": "([a-z0-9_\\-\\.]{2,}@[a-z0-9_\\-\\.]{2,}\\.[a-z]{2,},){0,}([a-z0-9_\\-\\.]{2,}@[a-z0-9_\\-\\.]{2,}\\.[a-z]{2,})", "description": "Comma separated list of author email addresses, lowercased, in the same order as above. For authors with existing OpenReview accounts, please make sure that the provided email address(es) match those listed in the author's profile. Please provide real emails; identities will be anonymized."}}}, "nonreaders": [], "noninvitees": [], "expdate": 1526248800000, "cdate": 1518474081690}}}, {"tddate": null, "ddate": null, "tmdate": 1521816698472, "tcdate": 1521816698472, "number": 2, "cdate": 1521816698472, "id": "HJftVqMqf", "invitation": "ICLR.cc/2018/Workshop/-/Paper201/Official_Comment", "forum": "BJI1eDyvz", "replyto": "HyCFsD-5z", "signatures": ["ICLR.cc/2018/Workshop/Program_Chairs"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Workshop/Program_Chairs"], "content": {"title": "acceptance decision", "comment": "Dear T. Anderson Keller,\n\nOur decisions (in either direction) don't indicate agreement with every point in every review. With hundreds of papers it was not possible to debate and correct every detail with the reviewers. As you have done, authors are free to set the record straight on any details they disagree with.\n\nHowever, two of the program chairs did read a large number of borderline papers -- and yours was read and considered. As is always the case with a space-limited conference, we will have left out papers that will turn out to be important. However, we have done the best that we could, and the decisions are final.\n\nBest wishes,\nTara, Oriol, Marc'Arelio, and Iain."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Fast Weight Long Short-Term Memory", "abstract": "Associative memory using fast weights is a short-term memory mechanism that substantially improves the memory capacity and time scale of recurrent neural networks (RNNs). As recent studies introduced fast weights only to regular RNNs, it is unknown whether fast weight memory is beneficial to gated RNNs. In this work, we report a significant synergy between long short-term memory (LSTM) networks and fast weight associative memories. We show that this combination, in learning associative retrieval tasks, results in much faster training and lower test error, a performance boost most prominent at high memory task difficulties.", "paperhash": "keller|fast_weight_long_shortterm_memory", "keywords": ["Fast Weights", "LSTM", "Long Short-Term Memory", "Associative Memory", "Recurrent", "RNN"], "_bibtex": "@misc{\n keller2018fast,\n title={Fast Weight Long Short-Term Memory},\n author={T. Anderson Keller and Sharath Nittur Sridhar and Xin Wang},\n year={2018},\n url={https://openreview.net/forum?id=BJI1eDyvz}\n}", "authorids": ["andy.a.keller@intel.com", "sharath.nittur.sridhar@intel.com", "xin3.wang@intel.com"], "authors": ["T. Anderson Keller", "Sharath Nittur Sridhar", "Xin Wang"], "TL;DR": "We show that LSTM with fast weight associative memory trains much faster and achieves lower test error in associative retrieval tasks than previously reported fast weights RNNs.", "pdf": "/pdf/66d5ab22b286c409cc74fe2d585236a2af843896.pdf"}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1519222447642, "id": "ICLR.cc/2018/Workshop/-/Paper201/Official_Comment", "writers": ["ICLR.cc/2018/Workshop"], "signatures": ["ICLR.cc/2018/Workshop"], "readers": ["everyone"], "reply": {"replyto": null, "forum": "BJI1eDyvz", "writers": {"values-regex": "ICLR.cc/2018/Workshop/Paper201/AnonReviewer[0-9]+|ICLR.cc/2018/Workshop/Paper201/Authors|ICLR.cc/2018/Workshop/Program_Chairs"}, "signatures": {"values-regex": "ICLR.cc/2018/Workshop/Paper201/AnonReviewer[0-9]+|ICLR.cc/2018/Workshop/Paper201/Authors|ICLR.cc/2018/Workshop/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/Workshop/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/Workshop/Paper201/Reviewers", "ICLR.cc/2018/Workshop/Paper201/Authors", "ICLR.cc/2018/Workshop/Program_Chairs"], "cdate": 1519222447642}}}, {"tddate": null, "ddate": null, "tmdate": 1521740492636, "tcdate": 1521740492636, "number": 3, "cdate": 1521740492636, "id": "BJr09vZ5M", "invitation": "ICLR.cc/2018/Workshop/-/Paper201/Public_Comment", "forum": "BJI1eDyvz", "replyto": "B1uSp7gtf", "signatures": ["~Thomas_Anderson_Keller1"], "readers": ["everyone"], "writers": ["~Thomas_Anderson_Keller1"], "content": {"title": "Reviewer 3 Response", "comment": "Dear Reviewer 3,\n\nThank you for taking the time to review our work.\n\nWe believe there is a misunderstanding related to our description of the experimental setup since we have exhaustively described the setup in the paper. We indeed did a systematic grid search to optimize hyperparameters, to which the entire Appendix is dedicated. Additionally, as mentioned in the paper, with the intended release of the code, our results will be transparent and reproducible, significantly mitigating any uncertainty.\n\nWe believe our results, despite simplicity due to usage of toy examples, are categorical in that they demonstrated a task which two existing models utterly failed to learn, but can be almost perfectly solved when the two mechanisms were combined. This has never been reported before. \n\nRegards"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Fast Weight Long Short-Term Memory", "abstract": "Associative memory using fast weights is a short-term memory mechanism that substantially improves the memory capacity and time scale of recurrent neural networks (RNNs). As recent studies introduced fast weights only to regular RNNs, it is unknown whether fast weight memory is beneficial to gated RNNs. In this work, we report a significant synergy between long short-term memory (LSTM) networks and fast weight associative memories. We show that this combination, in learning associative retrieval tasks, results in much faster training and lower test error, a performance boost most prominent at high memory task difficulties.", "paperhash": "keller|fast_weight_long_shortterm_memory", "keywords": ["Fast Weights", "LSTM", "Long Short-Term Memory", "Associative Memory", "Recurrent", "RNN"], "_bibtex": "@misc{\n keller2018fast,\n title={Fast Weight Long Short-Term Memory},\n author={T. Anderson Keller and Sharath Nittur Sridhar and Xin Wang},\n year={2018},\n url={https://openreview.net/forum?id=BJI1eDyvz}\n}", "authorids": ["andy.a.keller@intel.com", "sharath.nittur.sridhar@intel.com", "xin3.wang@intel.com"], "authors": ["T. Anderson Keller", "Sharath Nittur Sridhar", "Xin Wang"], "TL;DR": "We show that LSTM with fast weight associative memory trains much faster and achieves lower test error in associative retrieval tasks than previously reported fast weights RNNs.", "pdf": "/pdf/66d5ab22b286c409cc74fe2d585236a2af843896.pdf"}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1518712625016, "id": "ICLR.cc/2018/Workshop/-/Paper201/Public_Comment", "writers": ["ICLR.cc/2018/Workshop"], "signatures": ["ICLR.cc/2018/Workshop"], "readers": ["everyone"], "invitees": ["~"], "noninvitees": ["ICLR.cc/2018/Workshop/Paper201/Reviewers"], "reply": {"replyto": null, "forum": "BJI1eDyvz", "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"]}, "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": [], "cdate": 1518712625016}}}, {"tddate": null, "ddate": null, "tmdate": 1521740381202, "tcdate": 1521740381202, "number": 2, "cdate": 1521740381202, "id": "rkBDcPWcM", "invitation": "ICLR.cc/2018/Workshop/-/Paper201/Public_Comment", "forum": "BJI1eDyvz", "replyto": "Bkx3TiWFG", "signatures": ["~Thomas_Anderson_Keller1"], "readers": ["everyone"], "writers": ["~Thomas_Anderson_Keller1"], "content": {"title": "Reviewer 2 Response", "comment": "Dear Reviewer 2,\n\nThank you for your thoughtful review.\n\nWe are working on a demonstration of solutions to real-world problems using FW-LSTM. However, we believe our results using toy examples in this short paper are still compelling and useful as a starting point for others to begin experimenting with this new architecture. Specifically we think the novelty of the proposed model is undervalued when combined with the modified associative retrieval task which demonstrates, and provides insights into, its advantages.\n\nOur results in fact included direct comparison against LSTM and FW-RNN, and showed that either mechanism alone failed to learn a task while the combination of the two succeeded. Our goal is to demonstrate this synergy conclusively and concisely in this short paper, and thus we did not compare and contrast against other memory mechanisms like DNCs. Additionally, the LSTM results were included in Table 1, but validation accuracy curves were omitted from Figure 2 due to their significantly lower final validation error. These can easily be added for completeness if desired.\n\nWe believe our work is novel in the sense that this is by far the first attempt to combine gated RNN cells with memory augmentations of RNNs, which are two approaches to enhancing RNNs that, to this day, have only been used in separation. Most importantly, our results demonstrated a task that either of the approaches alone failed to learn, but could be successfully solved by their combination.\n\nRegards"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Fast Weight Long Short-Term Memory", "abstract": "Associative memory using fast weights is a short-term memory mechanism that substantially improves the memory capacity and time scale of recurrent neural networks (RNNs). As recent studies introduced fast weights only to regular RNNs, it is unknown whether fast weight memory is beneficial to gated RNNs. In this work, we report a significant synergy between long short-term memory (LSTM) networks and fast weight associative memories. We show that this combination, in learning associative retrieval tasks, results in much faster training and lower test error, a performance boost most prominent at high memory task difficulties.", "paperhash": "keller|fast_weight_long_shortterm_memory", "keywords": ["Fast Weights", "LSTM", "Long Short-Term Memory", "Associative Memory", "Recurrent", "RNN"], "_bibtex": "@misc{\n keller2018fast,\n title={Fast Weight Long Short-Term Memory},\n author={T. Anderson Keller and Sharath Nittur Sridhar and Xin Wang},\n year={2018},\n url={https://openreview.net/forum?id=BJI1eDyvz}\n}", "authorids": ["andy.a.keller@intel.com", "sharath.nittur.sridhar@intel.com", "xin3.wang@intel.com"], "authors": ["T. Anderson Keller", "Sharath Nittur Sridhar", "Xin Wang"], "TL;DR": "We show that LSTM with fast weight associative memory trains much faster and achieves lower test error in associative retrieval tasks than previously reported fast weights RNNs.", "pdf": "/pdf/66d5ab22b286c409cc74fe2d585236a2af843896.pdf"}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1518712625016, "id": "ICLR.cc/2018/Workshop/-/Paper201/Public_Comment", "writers": ["ICLR.cc/2018/Workshop"], "signatures": ["ICLR.cc/2018/Workshop"], "readers": ["everyone"], "invitees": ["~"], "noninvitees": ["ICLR.cc/2018/Workshop/Paper201/Reviewers"], "reply": {"replyto": null, "forum": "BJI1eDyvz", "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"]}, "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": [], "cdate": 1518712625016}}}, {"tddate": null, "ddate": null, "tmdate": 1521740043483, "tcdate": 1521740043483, "number": 1, "cdate": 1521740043483, "id": "rkQGYvZqz", "invitation": "ICLR.cc/2018/Workshop/-/Paper201/Public_Comment", "forum": "BJI1eDyvz", "replyto": "ByfnV0-tf", "signatures": ["~Thomas_Anderson_Keller1"], "readers": ["everyone"], "writers": ["~Thomas_Anderson_Keller1"], "content": {"title": "Reviewer 1 Response", "comment": "Dear Reviewer 1,\n\nThank you for your review. We agree with your understanding of the paper and appreciate the time spent to understand our work."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Fast Weight Long Short-Term Memory", "abstract": "Associative memory using fast weights is a short-term memory mechanism that substantially improves the memory capacity and time scale of recurrent neural networks (RNNs). As recent studies introduced fast weights only to regular RNNs, it is unknown whether fast weight memory is beneficial to gated RNNs. In this work, we report a significant synergy between long short-term memory (LSTM) networks and fast weight associative memories. We show that this combination, in learning associative retrieval tasks, results in much faster training and lower test error, a performance boost most prominent at high memory task difficulties.", "paperhash": "keller|fast_weight_long_shortterm_memory", "keywords": ["Fast Weights", "LSTM", "Long Short-Term Memory", "Associative Memory", "Recurrent", "RNN"], "_bibtex": "@misc{\n keller2018fast,\n title={Fast Weight Long Short-Term Memory},\n author={T. Anderson Keller and Sharath Nittur Sridhar and Xin Wang},\n year={2018},\n url={https://openreview.net/forum?id=BJI1eDyvz}\n}", "authorids": ["andy.a.keller@intel.com", "sharath.nittur.sridhar@intel.com", "xin3.wang@intel.com"], "authors": ["T. Anderson Keller", "Sharath Nittur Sridhar", "Xin Wang"], "TL;DR": "We show that LSTM with fast weight associative memory trains much faster and achieves lower test error in associative retrieval tasks than previously reported fast weights RNNs.", "pdf": "/pdf/66d5ab22b286c409cc74fe2d585236a2af843896.pdf"}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1518712625016, "id": "ICLR.cc/2018/Workshop/-/Paper201/Public_Comment", "writers": ["ICLR.cc/2018/Workshop"], "signatures": ["ICLR.cc/2018/Workshop"], "readers": ["everyone"], "invitees": ["~"], "noninvitees": ["ICLR.cc/2018/Workshop/Paper201/Reviewers"], "reply": {"replyto": null, "forum": "BJI1eDyvz", "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"]}, "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": [], "cdate": 1518712625016}}}, {"tddate": null, "ddate": null, "original": null, "tmdate": 1521582823974, "tcdate": 1520610624270, "number": 1, "cdate": 1520610624270, "id": "B1uSp7gtf", "invitation": "ICLR.cc/2018/Workshop/-/Paper201/Official_Review", "forum": "BJI1eDyvz", "replyto": "BJI1eDyvz", "signatures": ["ICLR.cc/2018/Workshop/Paper201/AnonReviewer3"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Workshop/Paper201/AnonReviewer3"], "content": {"title": "Applying \"Fast Weight to Attend to the Recent Past\" to LSTMs", "rating": "5: Marginally below acceptance threshold", "review": "This submission explores whether the formulation of attention proposed in \"Using Fast Weights to Attend to the Recent Past\" paper is applicable to LSTM. The associative memory bit is applied to the proposed input (often denoted by \"j\") before it's gated (\"i\") and added to the gated state (\"f*c_{t-1}\").\n\nThe experiments are done on a simple associative retrieval task and a new, harder variant of the same. The results indicate that the fast weight LSTM improves on both the plain LSTM and the fast weight RNN. It is unclear how trustworthy these results are since the experimental setup (especially hyperparameter tuning) is not described in much detail.\n\nThe proposed model is simple, the experiments are a good start, but even for a workshop paper, I feel more convincing ones are necessary.", "confidence": "3: The reviewer is fairly confident that the evaluation is correct"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Fast Weight Long Short-Term Memory", "abstract": "Associative memory using fast weights is a short-term memory mechanism that substantially improves the memory capacity and time scale of recurrent neural networks (RNNs). As recent studies introduced fast weights only to regular RNNs, it is unknown whether fast weight memory is beneficial to gated RNNs. In this work, we report a significant synergy between long short-term memory (LSTM) networks and fast weight associative memories. We show that this combination, in learning associative retrieval tasks, results in much faster training and lower test error, a performance boost most prominent at high memory task difficulties.", "paperhash": "keller|fast_weight_long_shortterm_memory", "keywords": ["Fast Weights", "LSTM", "Long Short-Term Memory", "Associative Memory", "Recurrent", "RNN"], "_bibtex": "@misc{\n keller2018fast,\n title={Fast Weight Long Short-Term Memory},\n author={T. Anderson Keller and Sharath Nittur Sridhar and Xin Wang},\n year={2018},\n url={https://openreview.net/forum?id=BJI1eDyvz}\n}", "authorids": ["andy.a.keller@intel.com", "sharath.nittur.sridhar@intel.com", "xin3.wang@intel.com"], "authors": ["T. Anderson Keller", "Sharath Nittur Sridhar", "Xin Wang"], "TL;DR": "We show that LSTM with fast weight associative memory trains much faster and achieves lower test error in associative retrieval tasks than previously reported fast weights RNNs.", "pdf": "/pdf/66d5ab22b286c409cc74fe2d585236a2af843896.pdf"}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "duedate": 1520657999000, "tmdate": 1521582823793, "id": "ICLR.cc/2018/Workshop/-/Paper201/Official_Review", "writers": ["ICLR.cc/2018/Workshop"], "signatures": ["ICLR.cc/2018/Workshop"], "readers": ["everyone"], "invitees": ["ICLR.cc/2018/Workshop/Paper201/Reviewers"], "noninvitees": ["ICLR.cc/2018/Workshop/Paper201/AnonReviewer3", "ICLR.cc/2018/Workshop/Paper201/AnonReviewer2", "ICLR.cc/2018/Workshop/Paper201/AnonReviewer1"], "reply": {"forum": "BJI1eDyvz", "replyto": "BJI1eDyvz", "writers": {"values-regex": "ICLR.cc/2018/Workshop/Paper201/AnonReviewer[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2018/Workshop/Paper201/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 (max 200000 characters).", "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": 1528433999000, "cdate": 1521582823793}}}, {"tddate": null, "ddate": null, "original": null, "tmdate": 1521582699891, "tcdate": 1520709032313, "number": 2, "cdate": 1520709032313, "id": "Bkx3TiWFG", "invitation": "ICLR.cc/2018/Workshop/-/Paper201/Official_Review", "forum": "BJI1eDyvz", "replyto": "BJI1eDyvz", "signatures": ["ICLR.cc/2018/Workshop/Paper201/AnonReviewer2"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Workshop/Paper201/AnonReviewer2"], "content": {"title": "Incorporating Fast Weights into the LSTMs", "rating": "5: Marginally below acceptance threshold", "review": "Summary: This paper proposes to incorporate fast weights to the LSTMs. In a way the proposed method resembles WeiNet's construction by Zhang&Zho which is in turn inspired by the Ba et al's work on fast weights. The authors test their model on associative retrieval tasks and they show better results than FW-RNN and LN-LSTM. Overall, the paper is well-written.\n\nCriticism: \n- The results are quite encouraging, however it would have been much more convincing if they have shown some results on non-toyish tasks. It is difficult to say if their results would hold on more realistic tasks.\n- The comparisons against other memory models such as DNCs or LSTMS are missing.\n- Concept is interesting, but the novelty of the model in this paper is not that big. This would not be an issue if they had results on a real world task.", "confidence": "3: The reviewer is fairly confident that the evaluation is correct"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Fast Weight Long Short-Term Memory", "abstract": "Associative memory using fast weights is a short-term memory mechanism that substantially improves the memory capacity and time scale of recurrent neural networks (RNNs). As recent studies introduced fast weights only to regular RNNs, it is unknown whether fast weight memory is beneficial to gated RNNs. In this work, we report a significant synergy between long short-term memory (LSTM) networks and fast weight associative memories. We show that this combination, in learning associative retrieval tasks, results in much faster training and lower test error, a performance boost most prominent at high memory task difficulties.", "paperhash": "keller|fast_weight_long_shortterm_memory", "keywords": ["Fast Weights", "LSTM", "Long Short-Term Memory", "Associative Memory", "Recurrent", "RNN"], "_bibtex": "@misc{\n keller2018fast,\n title={Fast Weight Long Short-Term Memory},\n author={T. Anderson Keller and Sharath Nittur Sridhar and Xin Wang},\n year={2018},\n url={https://openreview.net/forum?id=BJI1eDyvz}\n}", "authorids": ["andy.a.keller@intel.com", "sharath.nittur.sridhar@intel.com", "xin3.wang@intel.com"], "authors": ["T. Anderson Keller", "Sharath Nittur Sridhar", "Xin Wang"], "TL;DR": "We show that LSTM with fast weight associative memory trains much faster and achieves lower test error in associative retrieval tasks than previously reported fast weights RNNs.", "pdf": "/pdf/66d5ab22b286c409cc74fe2d585236a2af843896.pdf"}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "duedate": 1520657999000, "tmdate": 1521582823793, "id": "ICLR.cc/2018/Workshop/-/Paper201/Official_Review", "writers": ["ICLR.cc/2018/Workshop"], "signatures": ["ICLR.cc/2018/Workshop"], "readers": ["everyone"], "invitees": ["ICLR.cc/2018/Workshop/Paper201/Reviewers"], "noninvitees": ["ICLR.cc/2018/Workshop/Paper201/AnonReviewer3", "ICLR.cc/2018/Workshop/Paper201/AnonReviewer2", "ICLR.cc/2018/Workshop/Paper201/AnonReviewer1"], "reply": {"forum": "BJI1eDyvz", "replyto": "BJI1eDyvz", "writers": {"values-regex": "ICLR.cc/2018/Workshop/Paper201/AnonReviewer[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2018/Workshop/Paper201/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 (max 200000 characters).", "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": 1528433999000, "cdate": 1521582823793}}}, {"tddate": null, "ddate": null, "original": null, "tmdate": 1521582685237, "tcdate": 1520719018450, "number": 3, "cdate": 1520719018450, "id": "ByfnV0-tf", "invitation": "ICLR.cc/2018/Workshop/-/Paper201/Official_Review", "forum": "BJI1eDyvz", "replyto": "BJI1eDyvz", "signatures": ["ICLR.cc/2018/Workshop/Paper201/AnonReviewer1"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Workshop/Paper201/AnonReviewer1"], "content": {"title": "Study on using fast weights on LSTMs", "rating": "6: Marginally above acceptance threshold", "review": "The authors study the application of fast weights to LSTM cells. Fast weights have been shown to improve the memory capacity and time scale of RNNs. In this study the authors study whether fast weights can help gated RNNs like LSTM cells. The conclusion of this work is that fast weights is also beneficial to LSTMs and results in much faster training and lower test error.", "confidence": "3: The reviewer is fairly confident that the evaluation is correct"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Fast Weight Long Short-Term Memory", "abstract": "Associative memory using fast weights is a short-term memory mechanism that substantially improves the memory capacity and time scale of recurrent neural networks (RNNs). As recent studies introduced fast weights only to regular RNNs, it is unknown whether fast weight memory is beneficial to gated RNNs. In this work, we report a significant synergy between long short-term memory (LSTM) networks and fast weight associative memories. We show that this combination, in learning associative retrieval tasks, results in much faster training and lower test error, a performance boost most prominent at high memory task difficulties.", "paperhash": "keller|fast_weight_long_shortterm_memory", "keywords": ["Fast Weights", "LSTM", "Long Short-Term Memory", "Associative Memory", "Recurrent", "RNN"], "_bibtex": "@misc{\n keller2018fast,\n title={Fast Weight Long Short-Term Memory},\n author={T. Anderson Keller and Sharath Nittur Sridhar and Xin Wang},\n year={2018},\n url={https://openreview.net/forum?id=BJI1eDyvz}\n}", "authorids": ["andy.a.keller@intel.com", "sharath.nittur.sridhar@intel.com", "xin3.wang@intel.com"], "authors": ["T. Anderson Keller", "Sharath Nittur Sridhar", "Xin Wang"], "TL;DR": "We show that LSTM with fast weight associative memory trains much faster and achieves lower test error in associative retrieval tasks than previously reported fast weights RNNs.", "pdf": "/pdf/66d5ab22b286c409cc74fe2d585236a2af843896.pdf"}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "duedate": 1520657999000, "tmdate": 1521582823793, "id": "ICLR.cc/2018/Workshop/-/Paper201/Official_Review", "writers": ["ICLR.cc/2018/Workshop"], "signatures": ["ICLR.cc/2018/Workshop"], "readers": ["everyone"], "invitees": ["ICLR.cc/2018/Workshop/Paper201/Reviewers"], "noninvitees": ["ICLR.cc/2018/Workshop/Paper201/AnonReviewer3", "ICLR.cc/2018/Workshop/Paper201/AnonReviewer2", "ICLR.cc/2018/Workshop/Paper201/AnonReviewer1"], "reply": {"forum": "BJI1eDyvz", "replyto": "BJI1eDyvz", "writers": {"values-regex": "ICLR.cc/2018/Workshop/Paper201/AnonReviewer[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2018/Workshop/Paper201/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 (max 200000 characters).", "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": 1528433999000, "cdate": 1521582823793}}}, {"tddate": null, "ddate": null, "original": null, "tmdate": 1521573582649, "tcdate": 1521573582649, "number": 169, "cdate": 1521573582310, "id": "BJvA0A0Yz", "invitation": "ICLR.cc/2018/Workshop/-/Acceptance_Decision", "forum": "BJI1eDyvz", "replyto": "BJI1eDyvz", "signatures": ["ICLR.cc/2018/Workshop/Program_Chairs"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Workshop/Program_Chairs"], "content": {"decision": "Reject", "title": "ICLR 2018 Workshop Acceptance Decision", "comment": "Based on the reviews, this paper has not been accepted for presentation at the ICLR workshop. However, the conversation and updates can continue to appear here on OpenReview."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Fast Weight Long Short-Term Memory", "abstract": "Associative memory using fast weights is a short-term memory mechanism that substantially improves the memory capacity and time scale of recurrent neural networks (RNNs). As recent studies introduced fast weights only to regular RNNs, it is unknown whether fast weight memory is beneficial to gated RNNs. In this work, we report a significant synergy between long short-term memory (LSTM) networks and fast weight associative memories. We show that this combination, in learning associative retrieval tasks, results in much faster training and lower test error, a performance boost most prominent at high memory task difficulties.", "paperhash": "keller|fast_weight_long_shortterm_memory", "keywords": ["Fast Weights", "LSTM", "Long Short-Term Memory", "Associative Memory", "Recurrent", "RNN"], "_bibtex": "@misc{\n keller2018fast,\n title={Fast Weight Long Short-Term Memory},\n author={T. Anderson Keller and Sharath Nittur Sridhar and Xin Wang},\n year={2018},\n url={https://openreview.net/forum?id=BJI1eDyvz}\n}", "authorids": ["andy.a.keller@intel.com", "sharath.nittur.sridhar@intel.com", "xin3.wang@intel.com"], "authors": ["T. Anderson Keller", "Sharath Nittur Sridhar", "Xin Wang"], "TL;DR": "We show that LSTM with fast weight associative memory trains much faster and achieves lower test error in associative retrieval tasks than previously reported fast weights RNNs.", "pdf": "/pdf/66d5ab22b286c409cc74fe2d585236a2af843896.pdf"}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1518629844880, "id": "ICLR.cc/2018/Workshop/-/Acceptance_Decision", "writers": ["ICLR.cc/2018/Workshop"], "signatures": ["ICLR.cc/2018/Workshop"], "readers": ["everyone"], "invitees": ["ICLR.cc/2018/Workshop/Program_Chairs"], "reply": {"forum": null, "replyto": null, "invitation": "ICLR.cc/2018/Workshop/-/Submission", "writers": {"values": ["ICLR.cc/2018/Workshop/Program_Chairs"]}, "signatures": {"description": "How your identity will be displayed with the above content.", "values": ["ICLR.cc/2018/Workshop/Program_Chairs"]}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["ICLR.cc/2018/Workshop/Program_Chairs", "everyone"]}, "content": {"title": {"required": true, "order": 1, "value": "ICLR 2018 Workshop 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", "Reject"]}}}, "nonreaders": [], "noninvitees": [], "cdate": 1518629844880}}}], "count": 9} |
{
"country_code": "US",
"href": "http://data.globalchange.gov/organization/north-central-csc.json",
"identifier": "north-central-csc",
"name": "North Central Climate Science Center",
"organization_type_identifier": "academic/federal (cooperative agreement)",
"uri": "/organization/north-central-csc",
"url": "https://www.doi.gov/csc/northcentral"
} |
{"geometry":{"type":"Polygon","coordinates":[[[-103.428040,20.696753],[-103.426089,20.696561],[-103.424213,20.695992],[-103.422484,20.695068],[-103.420968,20.693824],[-103.419725,20.692309],[-103.419216,20.691358],[-103.419186,20.691367],[-103.419800,20.690055],[-103.419800,20.684184],[-103.419800,20.680421],[-103.419800,20.679045],[-103.421087,20.679045],[-103.423190,20.676797],[-103.422649,20.672748],[-103.427352,20.670235],[-103.428855,20.671841],[-103.430786,20.672529],[-103.433533,20.673507],[-103.433533,20.673905],[-103.433533,20.676475],[-103.436279,20.676475],[-103.438125,20.678448],[-103.437567,20.679045],[-103.436279,20.680421],[-103.436279,20.684184],[-103.436279,20.684184],[-103.436279,20.684184],[-103.433533,20.687120],[-103.433533,20.689323],[-103.431129,20.694462],[-103.429061,20.696672],[-103.429063,20.696652],[-103.428040,20.696753]]]},"id":85884911,"type":"Feature","properties":{"geom:longitude":-103.427609,"misc:gn_nam_loc":"Zapopan, Zapopan, Jalisco, MX","misc:woe_lau":0,"name:spa_p":["Camichin Vallarta"],"misc:localhoods":25,"misc:name_local":"Zapopan","gn:id":"","src:geom_alt":[],"wof:hierarchy":[{"locality_id":101997877,"county_id":102074709,"country_id":85633293,"region_id":85686603,"neighbourhood_id":85884911}],"misc:gn_namadm1":"14","misc:placetype":"Suburb","iso:country":"ME","misc:name_adm0":"M\u00e9xico","wof:geomhash":"fa0405c1c89d1cc47818e76d3d9252bd","misc:woe_ver":"7.10.0","wof:name":"Camichin Vallarta","wof:parent_id":101997877,"wof:lastmodified":1439488062,"src:geom":"quattroshapes","misc:gn_adm0_cc":"MX","wof:supersedes":[],"misc:name":"Camichin Vallarta","wof:id":85884911,"misc:quad_count":8,"misc:local_max":794,"wof:breaches":[],"misc:gn_id":0,"geom:area":0.000325,"geom:latitude":20.683775,"misc:photo_sum":133,"misc:name_adm1":"Jalisco","misc:name_adm2":"Zapopan","misc:woe_local":151582,"misc:photo_max":63,"wof:belongsto":[101997877,102074709,85633293,85686603],"wof:placetype":"neighbourhood","misc:woe_adm1":2346277,"misc:woe_adm0":23424900,"misc:woe_adm2":12600313,"misc:gn_local":3979770,"misc:local_sum":4209,"wof:concordances":{"gp:id":55909763,"qs:id":475757},"wof:superseded_by":[]},"bbox":[-103.438125,20.670235,-103.419186,20.696753]} |
{
"id": 873722905,
"type": "Feature",
"properties": {
"addr:full":"1300 2nd Ave W Williston ND 58801",
"addr:housenumber":"1300",
"addr:postcode":"58801",
"addr:street":"2Nd Ave W",
"edtf:cessation":"uuuu",
"edtf:inception":"uuuu",
"geom:area":0.0,
"geom:area_square_m":0.0,
"geom:bbox":"-103.625754,48.156914,-103.625754,48.156914",
"geom:latitude":48.156914,
"geom:longitude":-103.625754,
"iso:country":"US",
"mz:hierarchy_label":1,
"mz:is_current":-1,
"sg:address":"1300 2nd Ave W",
"sg:city":"Williston",
"sg:classifiers":[
{
"category":"Autos & Motor Vehicles",
"subcategory":"Auto Supplies",
"type":"Retail Goods"
}
],
"sg:owner":"simplegeo",
"sg:phone":"+1 701 572 2167",
"sg:postcode":"58801",
"sg:province":"ND",
"sg:tags":[
"automobile",
"parts"
],
"src:geom":"simplegeo",
"wof:belongsto":[],
"wof:brand_id":420574105,
"wof:breaches":[],
"wof:concordances":{
"sg:id":"SG_1torMLO7lVqjHUagaChXRl_48.156914_-103.625754@1294165850"
},
"wof:country":"US",
"wof:created":1464296686,
"wof:geomhash":"4d4cb75e65ffa1948a27944d1492eba1",
"wof:hierarchy":[],
"wof:id":873722905,
"wof:lastmodified":1510603874,
"wof:name":"Carquest Auto Parts",
"wof:parent_id":-1,
"wof:placetype":"venue",
"wof:repo":"whosonfirst-data-venue-us-nd",
"wof:superseded_by":[],
"wof:supersedes":[],
"wof:tags":[
"automobile",
"parts"
]
},
"bbox": [
-103.625754,
48.156914,
-103.625754,
48.156914
],
"geometry": {"coordinates":[-103.625754,48.156914],"type":"Point"}
} |
{"title":"Bobby McFerrin","uid":4456032,"size":820930755,"categoryP":"other","categoryS":"other","magnet":"?xt=urn:btih:eee04c2fa1cf73b32f368d60ec4fb8645f6f073c&dn=Bobby+McFerrin&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":"LinuxMaik","files":213,"time":1224484045,"description":"A good collection of albums by Bobby McFerrin, mostly in ogg vorbis format.","torrent":{"xt":"urn:btih:eee04c2fa1cf73b32f368d60ec4fb8645f6f073c","amp;dn":"Bobby+McFerrin","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":"eee04c2fa1cf73b32f368d60ec4fb8645f6f073c","infoHashBuffer":{"type":"Buffer","data":[238,224,76,47,161,207,115,179,47,54,141,96,236,79,184,100,95,111,7,60]},"announce":[],"urlList":[]}} |
{"poster":"TÊRMINATØR","date":"2017-10-13T14:42:28.178+0000","title":"League Of Dance - Pasen a reírse un buen rato!","subforum":"Off-topic y temas personales","up_votes":4,"down_votes":6,"body":"Hola, quiero compartir con ustedes los vídeos que eh creado estos meses , llamados League Of Dance\n Esta serie se trata de hacer bailar a los campeones con músicas de distinto genero , o interpretas las canciones con los champs\n\nLes dejo la lista de todos los LOD que llevo hasta ahora , en un rato me pondre a armar el Especial 4K #LOD9 + un sorteo de skins legendarias\n\nLeague Of Dance #1\nhttps://www.youtube.com/watch?v=lU1X5y1OU0w&t=34s\n\nLeague Of Dance #2\nhttps://www.youtube.com/watch?v=TENE1rUUc7E&t=82s\n\nLeague Of Dance #3\nhttps://www.youtube.com/watch?v=ocI5O_o0sZ4&t=109s\n\nLeague Of Dance #4\nhttps://www.youtube.com/watch?v=l49pP7dCKWI&t=99s\n\nLeague Of Dance #5\nhttps://www.youtube.com/watch?v=1vcvISLWmRw\n\nLeague Of Dance #6\n[](https://www.youtube.com/watch?v=N6cr3ux0xD8\n\nLeague Of Dance #7\nhttps://www.youtube.com/watch?v=pMmzslo_qiM&t=105s\n\nLeague Of Dance #8\nhttps://www.youtube.com/watch?v=NZbIYwgzncM&t=68s\n\nTambién tengo otros vídeos que seguro te harán reír {{champion:31}} \nSaludos Invocadores!","replies":[{"poster":"WhiteMax","date":"2017-10-13T16:56:08.636+0000","up_votes":1,"down_votes":0,"body":"Creaciones de la comunidad.","replies":[]}]} |
{"notes": [{"tddate": null, "ddate": null, "cdate": null, "tmdate": 1486396358852, "tcdate": 1486396358852, "number": 1, "id": "SJ1Riz8_x", "invitation": "ICLR.cc/2017/conference/-/paper104/acceptance", "forum": "BJAA4wKxg", "replyto": "BJAA4wKxg", "signatures": ["ICLR.cc/2017/pcs"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/pcs"], "content": {"decision": "Reject", "title": "ICLR committee final decision", "comment": "This work demonstrates architectural choices to make conv nets work for NMT. In general the reviewers liked the work and were convinced by the results but found the main contributions to be \"incremental\". \n \n Pros:\n - Clarity: The work was clearly presented, and besides for minor comments (diagrams) the reviewers understood the work\n - Quality: The experimental results were thorough, \"very extensive and leaves no doubt that the proposed approach works well\".\n \n Mixed:\n - Novelty: There is appreciation that the work is novel. However as the work is somewhat \"application-specific\" the reviewers felt the technical contribution was not an overwhelming contribution.\n - Impact: While some speed ups were shown, not all reviewers were convinced that the benefit was sufficient, or \"main speed-up factor(s)\" were. \n \n This work is clearly worthwhile, but the reviews place it slightly below the top papers in this area."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1486396359430, "id": "ICLR.cc/2017/conference/-/paper104/acceptance", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2017/pcs"], "noninvitees": ["ICLR.cc/2017/pcs"], "reply": {"forum": "BJAA4wKxg", "replyto": "BJAA4wKxg", "writers": {"values-regex": "ICLR.cc/2017/pcs"}, "signatures": {"values-regex": "ICLR.cc/2017/pcs", "description": "Your displayed identity associated with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"title": {"order": 1, "description": "Brief summary of your decision.", "value": "ICLR committee final decision"}, "comment": {"required": true, "order": 2, "description": "Decision comments.", "value-regex": "[\\S\\s]{1,5000}"}, "decision": {"required": true, "order": 3, "value-radio": ["Accept (Oral)", "Accept (Poster)", "Reject", "Invite to Workshop Track"]}}}, "nonreaders": [], "cdate": 1486396359430}}}, {"tddate": null, "tmdate": 1485458712080, "tcdate": 1485458712080, "number": 9, "id": "Skg7pTPvl", "invitation": "ICLR.cc/2017/conference/-/paper104/public/comment", "forum": "BJAA4wKxg", "replyto": "rJFd3PUDe", "signatures": ["~Michael_Auli1"], "readers": ["everyone"], "writers": ["~Michael_Auli1"], "content": {"title": "Re: acknowledge", "comment": "PixelCNN was applied to vision and CNNs have been known to work on vision tasks for quite some time. The same is not true for language. Our paper is the first work that successfully demonstrates that CNNs can be very competitive to LSTMs on language and in particular translation. It demonstrates that CNNs can model long-range dependencies for language."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1485287726638, "id": "ICLR.cc/2017/conference/-/paper104/public/comment", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["~"], "reply": {"forum": "BJAA4wKxg", "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/2017/conference/organizers", "ICLR.cc/2017/conference/ACs_and_organizers", "ICLR.cc/2017/conference/reviewers_and_ACS_and_organizers"]}, "content": {"title": {"order": 1, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"order": 2, "description": "Your comment or reply.", "value-regex": "[\\S\\s]{1,20000}"}}}, "nonreaders": [], "noninvitees": ["ICLR.cc/2017/conference/paper104/reviewers", "ICLR.cc/2017/conference/paper104/areachairs"], "cdate": 1485287726638}}}, {"tddate": null, "tmdate": 1485368447571, "tcdate": 1482186744618, "number": 3, "id": "BJ-bx1I4x", "invitation": "ICLR.cc/2017/conference/-/paper104/official/review", "forum": "BJAA4wKxg", "replyto": "BJAA4wKxg", "signatures": ["ICLR.cc/2017/conference/paper104/AnonReviewer4"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/conference/paper104/AnonReviewer4"], "content": {"title": "Final Review: good paper applying CNN to translation to match bi-LSTM baseline", "rating": "7: Good paper, accept", "review": "The system described works comparably to bi-directional LSTM baseline for NMT, and CNN's are naturally parallelizable.\n\nKey ideas include the use of two stacked CNN's (one for each of encoding and decoding) for translation, with res connections and position embeddings. The use of CNN's for translation has been attempted previously (as described by the authors), but presumably it is the authors' combination of various architectural choices (attention, position embeddings, etc) that make the present system competitive with RNN's, whereas earlier attempts were not. They describe system's sensitivity to some of these choices (e.g. experiments to choose appropriate number of layers in each of the CNN's).\n\nThe experimental results are well reported in detail.\n\nOne or two figures would definitely be required to help clarify the architecture.\n\nThis paper is less about new ways of learning representations than about the combination of choices made (over the set of existing techniques) in order to get the good results that they do on the reported NMT tasks. In this respect, while I am fairly confident that the paper represents good work in machine learning, I am not quite as confident about its fit for this particular conference.", "confidence": "3: The reviewer is fairly confident that the evaluation is correct"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "duedate": 1481932799000, "tmdate": 1482512695833, "id": "ICLR.cc/2017/conference/-/paper104/official/review", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2017/conference/paper104/reviewers"], "noninvitees": ["ICLR.cc/2017/conference/paper104/AnonReviewer1", "ICLR.cc/2017/conference/paper104/AnonReviewer3", "ICLR.cc/2017/conference/paper104/AnonReviewer4"], "reply": {"forum": "BJAA4wKxg", "replyto": "BJAA4wKxg", "writers": {"values-regex": "ICLR.cc/2017/conference/paper104/AnonReviewer[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2017/conference/paper104/AnonReviewer[0-9]+"}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"title": {"order": 1, "description": "Brief summary of your review.", "value-regex": ".{0,500}"}, "review": {"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]{1,20000}"}, "rating": {"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": {"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": 1489708799000, "cdate": 1482512695833}}}, {"tddate": null, "tmdate": 1485368433414, "tcdate": 1485368433414, "number": 5, "id": "rJFd3PUDe", "invitation": "ICLR.cc/2017/conference/-/paper104/official/comment", "forum": "BJAA4wKxg", "replyto": "HyatmhWIg", "signatures": ["ICLR.cc/2017/conference/paper104/AnonReviewer4"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/conference/paper104/AnonReviewer4"], "content": {"title": "acknowledge..", "comment": "I appreciate the additional comments about conference fit, although I do agree with AnonReviewer1 that, e.g. PixelCNN also demonstrates CNN's ability to model long-term structure (i.e. that RNN's are not unique in this regard)."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1485287726432, "id": "ICLR.cc/2017/conference/-/paper104/official/comment", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "reply": {"forum": "BJAA4wKxg", "writers": {"values-regex": "ICLR.cc/2017/conference/paper104/(AnonReviewer|areachair)[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2017/conference/paper104/(AnonReviewer|areachair)[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.", "value-dropdown": ["everyone", "ICLR.cc/2017/conference/organizers", "ICLR.cc/2017/conference/ACs_and_organizers", "ICLR.cc/2017/conference/reviewers_and_ACS_and_organizers"]}, "content": {"title": {"order": 1, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"order": 2, "description": "Your comment or reply.", "value-regex": "[\\S\\s]{1,20000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2017/conference/paper104/reviewers", "ICLR.cc/2017/conference/paper104/areachairs"], "cdate": 1485287726432}}}, {"tddate": null, "tmdate": 1484838887745, "tcdate": 1484838887745, "number": 4, "id": "r1gluUALe", "invitation": "ICLR.cc/2017/conference/-/paper104/official/comment", "forum": "BJAA4wKxg", "replyto": "ryiuoXhUl", "signatures": ["ICLR.cc/2017/conference/paper104/AnonReviewer1"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/conference/paper104/AnonReviewer1"], "content": {"title": "Convolutons vs RNN", "comment": "My last 5 cents: the fact that deep CNNs can handle long-term dependencies has been already discussed in the works on Pixel RNNs and Pixel CNNs (https://arxiv.org/abs/1601.06759, https://arxiv.org/pdf/1606.05328v2.pdf). In my view this limits the contribution of this paper to showing that the same holds for the machine translation encoder."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1485287726432, "id": "ICLR.cc/2017/conference/-/paper104/official/comment", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "reply": {"forum": "BJAA4wKxg", "writers": {"values-regex": "ICLR.cc/2017/conference/paper104/(AnonReviewer|areachair)[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2017/conference/paper104/(AnonReviewer|areachair)[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.", "value-dropdown": ["everyone", "ICLR.cc/2017/conference/organizers", "ICLR.cc/2017/conference/ACs_and_organizers", "ICLR.cc/2017/conference/reviewers_and_ACS_and_organizers"]}, "content": {"title": {"order": 1, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"order": 2, "description": "Your comment or reply.", "value-regex": "[\\S\\s]{1,20000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2017/conference/paper104/reviewers", "ICLR.cc/2017/conference/paper104/areachairs"], "cdate": 1485287726432}}}, {"tddate": null, "tmdate": 1484696434646, "tcdate": 1484696434646, "number": 8, "id": "ryiuoXhUl", "invitation": "ICLR.cc/2017/conference/-/paper104/public/comment", "forum": "BJAA4wKxg", "replyto": "rJC_2IqUl", "signatures": ["~Michael_Auli1"], "readers": ["everyone"], "writers": ["~Michael_Auli1"], "content": {"title": "Re: ICLR 2017 conference paper104 AnonReviewer1", "comment": "We just updated the paper according to our reply to the reviewers on January 9th. \n\nWe respectfully disagree that requiring two stacks is the main finding of the paper. Our goal is to show that convolutional encoders with finite contexts can compare favorably to RNNs. This claim is supported with extensive experiments.\n\nWe also edited the discussion around the two-stack architecture. In particular, Figure 1a already presents extensive experimentation around the depth of the two stacks. At this point we do not see how to extend our analysis further."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1485287726638, "id": "ICLR.cc/2017/conference/-/paper104/public/comment", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["~"], "reply": {"forum": "BJAA4wKxg", "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/2017/conference/organizers", "ICLR.cc/2017/conference/ACs_and_organizers", "ICLR.cc/2017/conference/reviewers_and_ACS_and_organizers"]}, "content": {"title": {"order": 1, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"order": 2, "description": "Your comment or reply.", "value-regex": "[\\S\\s]{1,20000}"}}}, "nonreaders": [], "noninvitees": ["ICLR.cc/2017/conference/paper104/reviewers", "ICLR.cc/2017/conference/paper104/areachairs"], "cdate": 1485287726638}}}, {"tddate": null, "replyto": null, "ddate": null, "tmdate": 1484696247756, "tcdate": 1478223062231, "number": 104, "id": "BJAA4wKxg", "invitation": "ICLR.cc/2017/conference/-/submission", "forum": "BJAA4wKxg", "signatures": ["~Michael_Auli1"], "readers": ["everyone"], "content": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "writers": [], "nonreaders": [], "details": {"replyCount": 18, "writable": false, "overwriting": [], "revisions": true, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "duedate": 1475686800000, "tmdate": 1478287705855, "id": "ICLR.cc/2017/conference/-/submission", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/pcs"], "readers": ["everyone"], "invitees": ["~"], "reply": {"forum": null, "replyto": null, "writers": {"values-regex": "~.*"}, "signatures": {"values-regex": "~.*", "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": {"pdf": {"required": true, "order": 5, "description": "Either upload a PDF file or provide a direct link to your PDF on ArXiv (link must begin with http(s) and end with .pdf)", "value-regex": "upload|(http|https):\\/\\/.+\\.pdf"}, "title": {"required": true, "order": 1, "description": "Title of paper.", "value-regex": ".{1,250}"}, "abstract": {"required": true, "order": 4, "description": "Abstract of paper.", "value-regex": "[\\S\\s]{1,5000}"}, "authors": {"required": true, "order": 2, "values-regex": "[^;,\\n]+(,[^,\\n]+)*", "description": "Comma separated list of author names, as they appear in the paper."}, "conflicts": {"required": true, "order": 100, "values-regex": "[^;,\\n]+(,[^,\\n]+)*", "description": "Comma separated list of email domains of people who would have a conflict of interest in reviewing this paper, (e.g., cs.umass.edu;google.com, etc.)."}, "keywords": {"order": 6, "description": "Comma separated list of keywords.", "values-dropdown": ["Theory", "Computer vision", "Speech", "Natural language processing", "Deep learning", "Unsupervised Learning", "Supervised Learning", "Semi-Supervised Learning", "Reinforcement Learning", "Transfer Learning", "Multi-modal learning", "Applications", "Optimization", "Structured prediction", "Games"]}, "TL;DR": {"required": false, "order": 3, "description": "\"Too Long; Didn't Read\": a short sentence describing your paper", "value-regex": "[^\\n]{0,250}"}, "authorids": {"required": true, "order": 3, "values-regex": "[^;,\\n]+(,[^,\\n]+)*", "description": "Comma separated list of author email addresses, in the same order as above."}}}, "nonreaders": [], "noninvitees": [], "expdate": 1483462800000, "cdate": 1478287705855}}}, {"tddate": null, "tmdate": 1484577910091, "tcdate": 1484577910091, "number": 3, "id": "rJC_2IqUl", "invitation": "ICLR.cc/2017/conference/-/paper104/official/comment", "forum": "BJAA4wKxg", "replyto": "B1-h4nZ8l", "signatures": ["ICLR.cc/2017/conference/paper104/AnonReviewer1"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/conference/paper104/AnonReviewer1"], "content": {"title": "Reviewer response", "comment": "Thank you for your comments. As far as I understand there has been no next version of the paper, and I do not think I can increase the score without seeing it in this case. It is still very unclear for me why 1-layer CNN-a + 1-layer CNN-c can perform so much better than just a 1-layer CNN, this would require a thorough investigation, as this seems to be the main finding of the paper.\n\nThe same applies for the reasons behind the faster decoding."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1485287726432, "id": "ICLR.cc/2017/conference/-/paper104/official/comment", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "reply": {"forum": "BJAA4wKxg", "writers": {"values-regex": "ICLR.cc/2017/conference/paper104/(AnonReviewer|areachair)[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2017/conference/paper104/(AnonReviewer|areachair)[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.", "value-dropdown": ["everyone", "ICLR.cc/2017/conference/organizers", "ICLR.cc/2017/conference/ACs_and_organizers", "ICLR.cc/2017/conference/reviewers_and_ACS_and_organizers"]}, "content": {"title": {"order": 1, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"order": 2, "description": "Your comment or reply.", "value-regex": "[\\S\\s]{1,20000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2017/conference/paper104/reviewers", "ICLR.cc/2017/conference/paper104/areachairs"], "cdate": 1485287726432}}}, {"tddate": null, "tmdate": 1484010665556, "tcdate": 1484010665556, "number": 7, "id": "B1-h4nZ8l", "invitation": "ICLR.cc/2017/conference/-/paper104/public/comment", "forum": "BJAA4wKxg", "replyto": "Hytb1xzVe", "signatures": ["~Michael_Auli1"], "readers": ["everyone"], "writers": ["~Michael_Auli1"], "content": {"title": "Re: ICLR 2017 conference paper104 AnonReviewer1", "comment": "Paper is application specific: we chose to focus on machine translation which is a challenging task with strong competition systems, dedicated product teams interested in improvements, and MT has been used in the past to introduce sequence to sequence models (e.g. Sutskever et al, Bahdanau et al). It is very likely that tasks relying on architectures similar to attention-based translation will benefit by our architecture as well, e.g. summarization, constituency parsing, or dialog modeling. In future work, we plan to evaluate on other sequence to sequence problems as well.\n\nTwo stacks: our experimentation with the two stacks suggests that the attention weights (CNN-a) need to integrate information from a wide context which can be done with a deep stack; at the same time, the vectors which are averaged (CNN-c) seem to benefit from a shallower, more local representation closer to the input words. Two stacks is an easy way to achieve these contradicting requirements. We will add this discussion to the text to make the point clearer. Inspired by LSTMs, we are currently exploring non-linearities with gating that could potentially derive a single representation satisfying both requirements.\n\nFaster evaluation: we will clarify this in the next version of the paper. Please refer to our previous answer to this question in the thread below."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1485287726638, "id": "ICLR.cc/2017/conference/-/paper104/public/comment", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["~"], "reply": {"forum": "BJAA4wKxg", "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/2017/conference/organizers", "ICLR.cc/2017/conference/ACs_and_organizers", "ICLR.cc/2017/conference/reviewers_and_ACS_and_organizers"]}, "content": {"title": {"order": 1, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"order": 2, "description": "Your comment or reply.", "value-regex": "[\\S\\s]{1,20000}"}}}, "nonreaders": [], "noninvitees": ["ICLR.cc/2017/conference/paper104/reviewers", "ICLR.cc/2017/conference/paper104/areachairs"], "cdate": 1485287726638}}}, {"tddate": null, "tmdate": 1484010472049, "tcdate": 1484010472049, "number": 6, "id": "r1xxEhZ8e", "invitation": "ICLR.cc/2017/conference/-/paper104/public/comment", "forum": "BJAA4wKxg", "replyto": "SJK13DGEg", "signatures": ["~Michael_Auli1"], "readers": ["everyone"], "writers": ["~Michael_Auli1"], "content": {"title": "Re: ICLR 2017 conference paper104 AnonReviewer3", "comment": "We will add figures illustrating our model architecture better; our baseline biLSTM architecture closely follows [Zhou et al, TACL 2016] https://arxiv.org/pdf/1606.04199v3.pdf who have detailed figures illustrating the model. \nPosition embeddings are important. Without them our encoder has no notion of position. We investigated position embeddings numbered from the left to right and right to left but found that one direction was enough. \n\nRegarding conference fit: we show that RNNs are not necessary to perform encoding in a complex sequence to sequence task and that CNNs are comparable or better. Of course, this is of interest to the NLP community but also to the ML community. In term of representation learning, the two stack CNN highlight that attention weights and the input representation might benefit from different depth, which can impact other tasks, and other models. Our work also highlights that the success of RNNs in MT cannot be attributed to their unique ability to model long term dependencies. We believe that those findings are of great interest to the ML community."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1485287726638, "id": "ICLR.cc/2017/conference/-/paper104/public/comment", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["~"], "reply": {"forum": "BJAA4wKxg", "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/2017/conference/organizers", "ICLR.cc/2017/conference/ACs_and_organizers", "ICLR.cc/2017/conference/reviewers_and_ACS_and_organizers"]}, "content": {"title": {"order": 1, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"order": 2, "description": "Your comment or reply.", "value-regex": "[\\S\\s]{1,20000}"}}}, "nonreaders": [], "noninvitees": ["ICLR.cc/2017/conference/paper104/reviewers", "ICLR.cc/2017/conference/paper104/areachairs"], "cdate": 1485287726638}}}, {"tddate": null, "tmdate": 1484010372869, "tcdate": 1484010372869, "number": 5, "id": "HyatmhWIg", "invitation": "ICLR.cc/2017/conference/-/paper104/public/comment", "forum": "BJAA4wKxg", "replyto": "BJ-bx1I4x", "signatures": ["~Michael_Auli1"], "readers": ["everyone"], "writers": ["~Michael_Auli1"], "content": {"title": "Re: ICLR 2017 conference paper104 AnonReviewer4", "comment": "We will add figures illustrating the architecture. Please see our response regarding conference fit in the replies to the other reviewers below."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1485287726638, "id": "ICLR.cc/2017/conference/-/paper104/public/comment", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["~"], "reply": {"forum": "BJAA4wKxg", "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/2017/conference/organizers", "ICLR.cc/2017/conference/ACs_and_organizers", "ICLR.cc/2017/conference/reviewers_and_ACS_and_organizers"]}, "content": {"title": {"order": 1, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"order": 2, "description": "Your comment or reply.", "value-regex": "[\\S\\s]{1,20000}"}}}, "nonreaders": [], "noninvitees": ["ICLR.cc/2017/conference/paper104/reviewers", "ICLR.cc/2017/conference/paper104/areachairs"], "cdate": 1485287726638}}}, {"tddate": null, "tmdate": 1483816024679, "tcdate": 1483816024679, "number": 2, "id": "SJbwh2RSl", "invitation": "ICLR.cc/2017/conference/-/paper104/official/comment", "forum": "BJAA4wKxg", "replyto": "BJAA4wKxg", "signatures": ["ICLR.cc/2017/conference/paper104/areachair1"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/conference/paper104/areachair1"], "content": {"title": "Authors: Please post a rebuttal", "comment": "Authors, It would be great to have a rebuttal for this paper as reviewers will be discussing over the next week. Thanks."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1485287726432, "id": "ICLR.cc/2017/conference/-/paper104/official/comment", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "reply": {"forum": "BJAA4wKxg", "writers": {"values-regex": "ICLR.cc/2017/conference/paper104/(AnonReviewer|areachair)[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2017/conference/paper104/(AnonReviewer|areachair)[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.", "value-dropdown": ["everyone", "ICLR.cc/2017/conference/organizers", "ICLR.cc/2017/conference/ACs_and_organizers", "ICLR.cc/2017/conference/reviewers_and_ACS_and_organizers"]}, "content": {"title": {"order": 1, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"order": 2, "description": "Your comment or reply.", "value-regex": "[\\S\\s]{1,20000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2017/conference/paper104/reviewers", "ICLR.cc/2017/conference/paper104/areachairs"], "cdate": 1485287726432}}}, {"tddate": null, "tmdate": 1481960416772, "tcdate": 1481960416772, "number": 2, "id": "SJK13DGEg", "invitation": "ICLR.cc/2017/conference/-/paper104/official/review", "forum": "BJAA4wKxg", "replyto": "BJAA4wKxg", "signatures": ["ICLR.cc/2017/conference/paper104/AnonReviewer3"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/conference/paper104/AnonReviewer3"], "content": {"title": "A well-executed NLP paper", "rating": "6: Marginally above acceptance threshold", "review": "This paper is the first (I believe) to establish a simple yet important result that Convnets for NMT encoders can be competitive to RNNs. The authors present a convincing set of results over many translation tasks and compare with very competitive baselines. I also appreciate the detailed report on training and generation speed. I find it's very interesting when position embeddings turn out to be hugely important (beside residual connections); unfortunately, there is little analysis to shed more lights on this aspect and perhaps compare other ways of capturing positions (a wild guess might be to use embeddings that represent some form of relative positions). The only concern I have (similar to the other reviewer) is that this paper perhaps fits better in an NLP conference.\n\nOne minor comment: it's slight strange that this well-executed paper doesn't have a single figure on the proposed architecture :) It will also be even better to draw a figure for the biLSTM architecture as well (it does take some effort to understand the last paragraph in Section 2, especially the part on having a linear layer to compute z).", "confidence": "5: The reviewer is absolutely certain that the evaluation is correct and very familiar with the relevant literature"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "duedate": 1481932799000, "tmdate": 1482512695833, "id": "ICLR.cc/2017/conference/-/paper104/official/review", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2017/conference/paper104/reviewers"], "noninvitees": ["ICLR.cc/2017/conference/paper104/AnonReviewer1", "ICLR.cc/2017/conference/paper104/AnonReviewer3", "ICLR.cc/2017/conference/paper104/AnonReviewer4"], "reply": {"forum": "BJAA4wKxg", "replyto": "BJAA4wKxg", "writers": {"values-regex": "ICLR.cc/2017/conference/paper104/AnonReviewer[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2017/conference/paper104/AnonReviewer[0-9]+"}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"title": {"order": 1, "description": "Brief summary of your review.", "value-regex": ".{0,500}"}, "review": {"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]{1,20000}"}, "rating": {"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": {"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": 1489708799000, "cdate": 1482512695833}}}, {"tddate": null, "tmdate": 1481928449551, "tcdate": 1481928449551, "number": 1, "id": "Hytb1xzVe", "invitation": "ICLR.cc/2017/conference/-/paper104/official/review", "forum": "BJAA4wKxg", "replyto": "BJAA4wKxg", "signatures": ["ICLR.cc/2017/conference/paper104/AnonReviewer1"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/conference/paper104/AnonReviewer1"], "content": {"title": "Good paper, but very incremental", "rating": "6: Marginally above acceptance threshold", "review": "The paper reports a very clear and easy to understand result that a convolutional network can be used instead of the recurrent encoder for neural machine translation. \n\nApart from the known architectural elements, such as convolution, pooling, residual connections, position embeddings, the paper features one unexpected architectural twist: two stacks of convolutions, one for computing alignment and another for computing the representations.\nThe empirical evidence that this was necessary is provided, however the question of *why* it is necessary remains open. \n\nThe experimental evaluation is very extensive and leaves no doubt that the proposed approach works well. The convnet-based model was faster at evaluation, but it is not very clear what is the main speed-up factor. It\u2019s however hard to argue against the fact that the speed advantage of convnets is likely to increase if a more parallel implementation is considered. \n\nMy main concern is whether or not the paper is appropriate for ICLR, because the contribution is quite incremental and rather application-specific. ACL, EMNLP and other NLP conferences would be a better venue, I think. ", "confidence": "4: The reviewer is confident but not absolutely certain that the evaluation is correct"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "duedate": 1481932799000, "tmdate": 1482512695833, "id": "ICLR.cc/2017/conference/-/paper104/official/review", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2017/conference/paper104/reviewers"], "noninvitees": ["ICLR.cc/2017/conference/paper104/AnonReviewer1", "ICLR.cc/2017/conference/paper104/AnonReviewer3", "ICLR.cc/2017/conference/paper104/AnonReviewer4"], "reply": {"forum": "BJAA4wKxg", "replyto": "BJAA4wKxg", "writers": {"values-regex": "ICLR.cc/2017/conference/paper104/AnonReviewer[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2017/conference/paper104/AnonReviewer[0-9]+"}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"title": {"order": 1, "description": "Brief summary of your review.", "value-regex": ".{0,500}"}, "review": {"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]{1,20000}"}, "rating": {"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": {"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": 1489708799000, "cdate": 1482512695833}}}, {"tddate": null, "tmdate": 1480547011650, "tcdate": 1480547011645, "number": 4, "id": "Hk2T90nzx", "invitation": "ICLR.cc/2017/conference/-/paper104/public/comment", "forum": "BJAA4wKxg", "replyto": "ryUr3c_fx", "signatures": ["~Michael_Auli1"], "readers": ["everyone"], "writers": ["~Michael_Auli1"], "content": {"title": "Re: ICLR 2017 conference paper104 AnonReviewer1", "comment": "**Why is the convnet encoder faster at decoding?**\nOur architecture works very well with smaller embedding sizes which allows us to match or outperform the accuracy of the LSTM baseline at lower capacity. In the particular experiment you are referring to, we use a smaller embedding size and encoder output dimensionality which makes computation faster despite having more layers. Also, the 2-layer bi-directional LSTM encoder baseline contains 4 LSTMs, because it is bi-directional. The accuracy of the baseline (Table 3b) has been tuned and the results are very competitive to other published work (cf. Table 2 WMT'15 English-German).\n\nThe smaller embedding size is not the only reason for the speed-up. In Table 3 (a), we compare a Conv 6/3 encoder and a BiLSTM with equal embedding sizes. The convolutional encoder is still 1.34x faster (at 0.7 higher BLEU) although it requires roughly 1.6x as many FLOPs. We believe that this is likely due to better cache locality for convolutional layers on CPUs: a LSTM with fused gates requires two big matrix multiplications with different weights as well as additions, multiplications and non-linearities for each word in the input sentence, while each convolutional layer can be computed in a tight loop with the same weight matrix. Both architectures might benefit from a further optimized multi-core implementation, but in comparison to other NMT implementations our setup is quite fast already.\n\nOur bi-directional LSTM implementation is based on torch rnnlib which uses fused LSTM gates ( https://github.com/facebookresearch/torch-rnnlib/blob/master/rnnlib/cell.lua) and which we consider an efficient implementation. \n\n**Why are there two convolutional stacks in the encoder? **\nUsing only a single stack of convolutions was indeed much worse (22.9 BLEU vs 28.5 BLEU). The encoder output is used for two important tasks: first, it is matched to the decoder state to identify which parts of the input are relevant to generate the next token. Second, it actually needs to encode the source sentence to provide useful inputs to the decoder. Tackling both these tasks with a simple deep convolutional network is much harder than for a bi-directional LSTM which has a gating mechanism. Our goal was to use very simple conv-tanh blocks but there may be a more complex setting that enables a single encoder stack.\n\n**Why do we claim our encoder model to be conceptually simpler? **\nWe acknowledge that this statement is subjective. We removed it and highlighted the differences between RNNs and convnets to support this statement, namely: (i) bi-directional LSTMs process past and future words in separate stacks which then need to be combined, whereas convnets process the surrounding context at every step, (ii) convnets perform the same number of non-linear operations for each word, whereas RNNs apply a very large number of non-linearities to words far away, (iii) parallelization is easier with convnets."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1485287726638, "id": "ICLR.cc/2017/conference/-/paper104/public/comment", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["~"], "reply": {"forum": "BJAA4wKxg", "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/2017/conference/organizers", "ICLR.cc/2017/conference/ACs_and_organizers", "ICLR.cc/2017/conference/reviewers_and_ACS_and_organizers"]}, "content": {"title": {"order": 1, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"order": 2, "description": "Your comment or reply.", "value-regex": "[\\S\\s]{1,20000}"}}}, "nonreaders": [], "noninvitees": ["ICLR.cc/2017/conference/paper104/reviewers", "ICLR.cc/2017/conference/paper104/areachairs"], "cdate": 1485287726638}}}, {"tddate": null, "tmdate": 1480268862307, "tcdate": 1480268862303, "number": 1, "id": "ryUr3c_fx", "invitation": "ICLR.cc/2017/conference/-/paper104/pre-review/question", "forum": "BJAA4wKxg", "replyto": "BJAA4wKxg", "signatures": ["ICLR.cc/2017/conference/paper104/AnonReviewer1"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/conference/paper104/AnonReviewer1"], "content": {"title": "A few questions", "question": "Hi, I have a few questions about your submission.\n\nFirst, can you please explain in more detail why your convnet model is faster for decoding? Is it because less FLOPs are required? Or is it because you were able to use less hidden units? Are both implementations efficient? It's not obvious to me why 15+5 layers of convolution are two times faster than 2 layers of LSTM when a single CPU thread is used.\n\nSecond, a very interesting finding of the paper is that two convolutional network are needed for good performance, CNN-a and CNN-c. Can you provide a qualitative explanation for this phenomenon?\n\nFinally, I think that the wording \"conceptually simpler encoder\" that you used in the conclusion is a very subjective judgement. Especially given that you have to use 2 different convnets."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "duedate": 1480741199000, "tmdate": 1480959460076, "id": "ICLR.cc/2017/conference/-/paper104/pre-review/question", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2017/conference/paper104/reviewers"], "noninvitees": ["ICLR.cc/2017/conference/paper104/AnonReviewer1"], "reply": {"forum": "BJAA4wKxg", "replyto": "BJAA4wKxg", "writers": {"values-regex": "ICLR.cc/2017/conference/paper104/AnonReviewer[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2017/conference/paper104/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": {"order": 1, "description": "Brief summary of your question.", "value-regex": ".{1,500}"}, "question": {"order": 2, "description": "Your question", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "expdate": 1488517199000, "cdate": 1480959460076}}}, {"tddate": null, "tmdate": 1479374292155, "tcdate": 1479374246244, "number": 3, "id": "HyRsrljWx", "invitation": "ICLR.cc/2017/conference/-/paper104/public/comment", "forum": "BJAA4wKxg", "replyto": "BJAA4wKxg", "signatures": ["~Ozan_Caglayan1"], "readers": ["everyone"], "writers": ["~Ozan_Caglayan1"], "content": {"title": "Small typo", "comment": "Hi,\n\nThe conditional input is denoted by both c_i and c_t in sections 2 and 3.1 respectively. c_i is reused in section 3.2\n"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1485287726638, "id": "ICLR.cc/2017/conference/-/paper104/public/comment", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["~"], "reply": {"forum": "BJAA4wKxg", "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/2017/conference/organizers", "ICLR.cc/2017/conference/ACs_and_organizers", "ICLR.cc/2017/conference/reviewers_and_ACS_and_organizers"]}, "content": {"title": {"order": 1, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"order": 2, "description": "Your comment or reply.", "value-regex": "[\\S\\s]{1,20000}"}}}, "nonreaders": [], "noninvitees": ["ICLR.cc/2017/conference/paper104/reviewers", "ICLR.cc/2017/conference/paper104/areachairs"], "cdate": 1485287726638}}}, {"tddate": null, "tmdate": 1479346964895, "tcdate": 1479346964891, "number": 2, "id": "HkTfjK5Zx", "invitation": "ICLR.cc/2017/conference/-/paper104/public/comment", "forum": "BJAA4wKxg", "replyto": "BkqbKptbl", "signatures": ["~Michael_Auli1"], "readers": ["everyone"], "writers": ["~Michael_Auli1"], "content": {"title": "Re: multi-bleu.perl", "comment": "You are right. We fixed this in the latest version and now report detokenized BLEU for WMT'16 English-Romanian. Our conv encoder is 0.3 BLEU short of your result."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1485287726638, "id": "ICLR.cc/2017/conference/-/paper104/public/comment", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["~"], "reply": {"forum": "BJAA4wKxg", "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/2017/conference/organizers", "ICLR.cc/2017/conference/ACs_and_organizers", "ICLR.cc/2017/conference/reviewers_and_ACS_and_organizers"]}, "content": {"title": {"order": 1, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"order": 2, "description": "Your comment or reply.", "value-regex": "[\\S\\s]{1,20000}"}}}, "nonreaders": [], "noninvitees": ["ICLR.cc/2017/conference/paper104/reviewers", "ICLR.cc/2017/conference/paper104/areachairs"], "cdate": 1485287726638}}}, {"tddate": null, "tmdate": 1479297882613, "tcdate": 1479297282409, "number": 1, "id": "BkqbKptbl", "invitation": "ICLR.cc/2017/conference/-/paper104/public/comment", "forum": "BJAA4wKxg", "replyto": "BJAA4wKxg", "signatures": ["~Rico_Sennrich1"], "readers": ["everyone"], "writers": ["~Rico_Sennrich1"], "content": {"title": "multi-bleu.perl", "comment": "I want to draw attention to the fact that you compare tokenized BLEU results (with multi-bleu.perl) and detokenized BLEU results (with mteval-v13a.pl). The two should *never* be mixed in the same table, as the tokenization will have a big effect on results. Even when comparing systems that all have tokenized BLEU, and all use the Moses tokenizer, using different parameters (such as the \"-a\" option for aggressive hyphen splitting) will skew the results.\n\nDetokenized BLEU is standard for WMT, and reported by Sennrich et al. (2016a,b).\n\nI re-ran BLEU on our EN-RO system for comparison:\n\ndetokenized BLEU, mteval-v13a.pl: 28.1 BLEU\ntokenized BLEU, multi-bleu.perl: 29.4 BLEU\n\nyour reported result (multi-bleu.perl): 28.5"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "A Convolutional Encoder Model for Neural Machine Translation", "abstract": "The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence.\nIn this paper we present a faster and simpler architecture based on a succession of convolutional layers. \nThis allows to encode the entire source sentence simultaneously compared to recurrent networks for which computation is constrained by temporal dependencies.\nOn WMT'16 English-Romanian translation we achieve competitive accuracy to the state-of-the-art and we outperform several recently published results on the WMT'15 English-German task. \nOur models obtain almost the same accuracy as a very deep LSTM setup on WMT'14 English-French translation.\nOur convolutional encoder speeds up CPU decoding by more than two times at the same or higher accuracy as a strong bi-directional LSTM baseline. ", "pdf": "/pdf/146750f1db6809ab8860ee03b596385437a13789.pdf", "TL;DR": "Investigate encoder models for translation and demonstrate that convolutions can outperform LSTMs as encoders.", "paperhash": "gehring|a_convolutional_encoder_model_for_neural_machine_translation", "conflicts": ["fb.com"], "keywords": [], "authors": ["Jonas Gehring", "Michael Auli", "David Grangier", "Yann N. Dauphin"], "authorids": ["jgehring@fb.com", "michaelauli@fb.com", "grangier@fb.com", "ynd@fb.com"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1485287726638, "id": "ICLR.cc/2017/conference/-/paper104/public/comment", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["~"], "reply": {"forum": "BJAA4wKxg", "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/2017/conference/organizers", "ICLR.cc/2017/conference/ACs_and_organizers", "ICLR.cc/2017/conference/reviewers_and_ACS_and_organizers"]}, "content": {"title": {"order": 1, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"order": 2, "description": "Your comment or reply.", "value-regex": "[\\S\\s]{1,20000}"}}}, "nonreaders": [], "noninvitees": ["ICLR.cc/2017/conference/paper104/reviewers", "ICLR.cc/2017/conference/paper104/areachairs"], "cdate": 1485287726638}}}], "count": 19} |
{"code":"5371011002","province_code":"53","regency_code":"5371","district_code":"537101","name":"NUNBAUN SABU"} |
[
{
"line": 1,
"elements": [
{
"start_timestamp": "2021-06-20T07:57:03.753Z",
"line": 23,
"name": "Validate whether user can purchase product in limited count",
"description": "",
"id": "validate-product-page-user-based;validate-whether-user-can-purchase-product-in-limited-count",
"type": "scenario",
"keyword": "Scenario",
"steps": [
{
"result": {
"duration": 3628000000,
"status": "passed"
},
"line": 24,
"name": "open Browser as \"chrome\"",
"match": {
"arguments": [
{
"val": "\"chrome\"",
"offset": 16
}
],
"location": "testCases2.ProductTestCases.openBrowser(java.lang.String)"
},
"keyword": "Given "
},
{
"result": {
"duration": 2242000000,
"status": "passed"
},
"line": 25,
"name": "Enter url as \"http://djangovinoth.pythonanywhere.com/login/\"",
"match": {
"arguments": [
{
"val": "\"http://djangovinoth.pythonanywhere.com/login/\"",
"offset": 13
}
],
"location": "testCases2.ProductTestCases.enterUrl(java.lang.String)"
},
"keyword": "When "
},
{
"result": {
"duration": 142000000,
"status": "passed"
},
"line": 26,
"name": "Enter user name as \"Amirtha\"",
"match": {
"arguments": [
{
"val": "\"Amirtha\"",
"offset": 19
}
],
"location": "testCases2.ProductTestCases.enterUserName(java.lang.String)"
},
"keyword": "When "
},
{
"result": {
"duration": 135000000,
"status": "passed"
},
"line": 27,
"name": "Enter password as \"vcentry1\"",
"match": {
"arguments": [
{
"val": "\"vcentry1\"",
"offset": 18
}
],
"location": "testCases2.ProductTestCases.enterPassword(java.lang.String)"
},
"keyword": "And "
},
{
"result": {
"duration": 1081000000,
"status": "passed"
},
"line": 28,
"name": "Click login button",
"match": {
"location": "testCases2.ProductTestCases.clickLogin()"
},
"keyword": "When "
},
{
"result": {
"duration": 9000000,
"status": "passed"
},
"line": 29,
"name": "verify login sucess",
"match": {
"location": "testCases2.ProductTestCases.verifyLoginSucess()"
},
"keyword": "Then "
},
{
"result": {
"duration": 489000000,
"status": "passed"
},
"line": 30,
"name": "click framework form",
"match": {
"location": "testCases2.ProductTestCases.clickFrameForm()"
},
"keyword": "When "
},
{
"result": {
"duration": 1141000000,
"status": "passed"
},
"line": 31,
"name": "Click Simple form",
"match": {
"location": "testCases2.ProductTestCases.clickSimpleform()"
},
"keyword": "And "
},
{
"result": {
"duration": 11122000000,
"status": "passed"
},
"line": 32,
"name": "validate whether user can place order upto 5 times using map",
"match": {
"location": "testCases2.ProductTestCases.validatePlaceProductUsingMap(io.cucumber.datatable.DataTable)"
},
"rows": [
{
"cells": [
"PRODUCT",
"MOBILE",
"EMAIL",
"PRODCTCAT",
"QTY",
"PURCHASER"
]
},
{
"cells": [
"product a",
"1111",
"maila@mail.com",
"Electrical",
"5",
"purchaser a"
]
},
{
"cells": [
"product b",
"2222",
"mailb@mail.com",
"Electrical",
"15",
"purchaser b"
]
},
{
"cells": [
"product c",
"3333",
"mailc@mail.com",
"Electrical",
"25",
"purchaser c"
]
},
{
"cells": [
"product d",
"4444",
"maild@mail.com",
"Electrical",
"35",
"purchaser d"
]
},
{
"cells": [
"product e",
"5555",
"maile@mail.com",
"Electrical",
"45",
"purchaser e"
]
},
{
"cells": [
"product f",
"6666",
"mailf@mail.com",
"Electrical",
"55",
"purchaser f"
]
}
],
"keyword": "Then "
},
{
"result": {
"duration": 955000000,
"status": "passed"
},
"line": 40,
"name": "logout the user",
"match": {
"location": "testCases2.ProductTestCases.logoutUser()"
},
"keyword": "Then "
}
],
"tags": [
{
"name": "@productMap"
}
]
}
],
"name": "Validate product page user based",
"description": "",
"id": "validate-product-page-user-based",
"keyword": "Feature",
"uri": "classpath:testCases2/product.feature",
"tags": []
}
] |
[{"lineNumber": 7, "col_offset": 19, "nodeName": "BaseEstimator", "type": "Any"}, {"lineNumber": 7, "col_offset": 34, "nodeName": "TransformerMixin", "type": "Any"}, {"lineNumber": 37, "col_offset": 11, "nodeName": "BaseEstimator", "type": "Any"}, {"lineNumber": 37, "col_offset": 26, "nodeName": "TransformerMixin", "type": "Any"}, {"lineNumber": 11, "col_offset": 8, "nodeName": "metric", "type": "str"}, {"lineNumber": 11, "col_offset": 22, "nodeName": "metric", "type": "str"}, {"lineNumber": 12, "col_offset": 8, "nodeName": "tsupdate", "type": "Any"}, {"lineNumber": 12, "col_offset": 24, "nodeName": "tsupdate", "type": "Any"}, {"lineNumber": 17, "col_offset": 8, "nodeName": "Cr", "type": "Any"}, {"lineNumber": 18, "col_offset": 15, "nodeName": "self", "type": "TangentSpace"}, {"lineNumber": 22, "col_offset": 11, "nodeName": "tsupdate", "type": "Any"}, {"lineNumber": 30, "col_offset": 8, "nodeName": "Cr", "type": "Any"}, {"lineNumber": 41, "col_offset": 8, "nodeName": "_ts", "type": "TangentSpace"}, {"lineNumber": 45, "col_offset": 8, "nodeName": "classes", "type": "Any"}, {"lineNumber": 46, "col_offset": 8, "nodeName": "_lda", "type": "Any"}, {"lineNumber": 48, "col_offset": 8, "nodeName": "ts", "type": "Any"}, {"lineNumber": 51, "col_offset": 8, "nodeName": "W", "type": "Any"}, {"lineNumber": 52, "col_offset": 8, "nodeName": "_W", "type": "Any"}, {"lineNumber": 53, "col_offset": 15, "nodeName": "ts", "type": "Any"}, {"lineNumber": 56, "col_offset": 8, "nodeName": "ts", "type": "Any"}, {"lineNumber": 61, "col_offset": 15, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 64, "col_offset": 8, "nodeName": "ts", "type": "Any"}, {"lineNumber": 68, "col_offset": 8, "nodeName": "ts", "type": "Any"}, {"lineNumber": 11, "col_offset": 8, "nodeName": "self", "type": "TangentSpace"}, {"lineNumber": 12, "col_offset": 8, "nodeName": "self", "type": "TangentSpace"}, {"lineNumber": 17, "col_offset": 8, "nodeName": "self", "type": "TangentSpace"}, {"lineNumber": 17, "col_offset": 18, "nodeName": "mean_covariance", "type": "Any"}, {"lineNumber": 17, "col_offset": 34, "nodeName": "X", "type": "Any"}, {"lineNumber": 22, "col_offset": 11, "nodeName": "self", "type": "TangentSpace"}, {"lineNumber": 23, "col_offset": 12, "nodeName": "Cr", "type": "Any"}, {"lineNumber": 25, "col_offset": 12, "nodeName": "Cr", "type": "Any"}, {"lineNumber": 25, "col_offset": 17, "nodeName": "Cr", "type": "Any"}, {"lineNumber": 26, "col_offset": 15, "nodeName": "tangent_space", "type": "Any"}, {"lineNumber": 26, "col_offset": 29, "nodeName": "X", "type": "Any"}, {"lineNumber": 26, "col_offset": 31, "nodeName": "Cr", "type": "Any"}, {"lineNumber": 30, "col_offset": 8, "nodeName": "self", "type": "TangentSpace"}, {"lineNumber": 30, "col_offset": 18, "nodeName": "mean_covariance", "type": "Any"}, {"lineNumber": 30, "col_offset": 34, "nodeName": "X", "type": "Any"}, {"lineNumber": 31, "col_offset": 15, "nodeName": "tangent_space", "type": "Any"}, {"lineNumber": 31, "col_offset": 29, "nodeName": "X", "type": "Any"}, {"lineNumber": 31, "col_offset": 31, "nodeName": "Cr", "type": "Any"}, {"lineNumber": 34, "col_offset": 15, "nodeName": "untangent_space", "type": "Any"}, {"lineNumber": 34, "col_offset": 31, "nodeName": "X", "type": "Any"}, {"lineNumber": 34, "col_offset": 33, "nodeName": "Cr", "type": "Any"}, {"lineNumber": 41, "col_offset": 8, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 41, "col_offset": 19, "nodeName": "TangentSpace", "type": "Type[TangentSpace]"}, {"lineNumber": 45, "col_offset": 8, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 45, "col_offset": 22, "nodeName": "unique", "type": "Any"}, {"lineNumber": 45, "col_offset": 35, "nodeName": "y", "type": "Any"}, {"lineNumber": 46, "col_offset": 8, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 46, "col_offset": 20, "nodeName": "LDA", "type": "Any"}, {"lineNumber": 48, "col_offset": 13, "nodeName": "fit_transform", "type": "Callable[..., Any]"}, {"lineNumber": 48, "col_offset": 36, "nodeName": "X", "type": "Any"}, {"lineNumber": 49, "col_offset": 8, "nodeName": "fit", "type": "Any"}, {"lineNumber": 49, "col_offset": 22, "nodeName": "ts", "type": "Any"}, {"lineNumber": 49, "col_offset": 25, "nodeName": "y", "type": "Any"}, {"lineNumber": 51, "col_offset": 12, "nodeName": "copy", "type": "Any"}, {"lineNumber": 52, "col_offset": 8, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 52, "col_offset": 18, "nodeName": "dot", "type": "Any"}, {"lineNumber": 52, "col_offset": 79, "nodeName": "W", "type": "Any"}, {"lineNumber": 56, "col_offset": 13, "nodeName": "dot", "type": "Any"}, {"lineNumber": 56, "col_offset": 23, "nodeName": "ts", "type": "Any"}, {"lineNumber": 56, "col_offset": 26, "nodeName": "_W", "type": "Any"}, {"lineNumber": 57, "col_offset": 15, "nodeName": "inverse_transform", "type": "Callable[..., Any]"}, {"lineNumber": 57, "col_offset": 42, "nodeName": "ts", "type": "Any"}, {"lineNumber": 60, "col_offset": 8, "nodeName": "_fit_lda", "type": "Callable[[Any, Any], Any]"}, {"lineNumber": 60, "col_offset": 22, "nodeName": "X", "type": "Any"}, {"lineNumber": 60, "col_offset": 24, "nodeName": "y", "type": "Any"}, {"lineNumber": 64, "col_offset": 13, "nodeName": "transform", "type": "Callable[[Any], Any]"}, {"lineNumber": 64, "col_offset": 32, "nodeName": "X", "type": "Any"}, {"lineNumber": 65, "col_offset": 15, "nodeName": "_retro_project", "type": "Callable[[Any], Any]"}, {"lineNumber": 65, "col_offset": 35, "nodeName": "ts", "type": "Any"}, {"lineNumber": 68, "col_offset": 13, "nodeName": "_fit_lda", "type": "Callable[[Any, Any], Any]"}, {"lineNumber": 68, "col_offset": 27, "nodeName": "X", "type": "Any"}, {"lineNumber": 68, "col_offset": 29, "nodeName": "y", "type": "Any"}, {"lineNumber": 69, "col_offset": 15, "nodeName": "_retro_project", "type": "Callable[[Any], Any]"}, {"lineNumber": 69, "col_offset": 35, "nodeName": "ts", "type": "Any"}, {"lineNumber": 17, "col_offset": 43, "nodeName": "metric", "type": "Any"}, {"lineNumber": 23, "col_offset": 17, "nodeName": "mean_covariance", "type": "Any"}, {"lineNumber": 23, "col_offset": 33, "nodeName": "X", "type": "Any"}, {"lineNumber": 25, "col_offset": 17, "nodeName": "self", "type": "TangentSpace"}, {"lineNumber": 30, "col_offset": 43, "nodeName": "metric", "type": "str"}, {"lineNumber": 31, "col_offset": 31, "nodeName": "self", "type": "TangentSpace"}, {"lineNumber": 34, "col_offset": 33, "nodeName": "self", "type": "TangentSpace"}, {"lineNumber": 41, "col_offset": 41, "nodeName": "tsupdate", "type": "Any"}, {"lineNumber": 45, "col_offset": 22, "nodeName": "numpy", "type": "module"}, {"lineNumber": 48, "col_offset": 13, "nodeName": "_ts", "type": "TangentSpace"}, {"lineNumber": 49, "col_offset": 8, "nodeName": "_lda", "type": "Any"}, {"lineNumber": 51, "col_offset": 12, "nodeName": "coef_", "type": "Any"}, {"lineNumber": 52, "col_offset": 18, "nodeName": "numpy", "type": "module"}, {"lineNumber": 52, "col_offset": 28, "nodeName": "dot", "type": "Any"}, {"lineNumber": 52, "col_offset": 38, "nodeName": "T", "type": "Any"}, {"lineNumber": 56, "col_offset": 13, "nodeName": "numpy", "type": "module"}, {"lineNumber": 56, "col_offset": 26, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 57, "col_offset": 15, "nodeName": "_ts", "type": "TangentSpace"}, {"lineNumber": 60, "col_offset": 8, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 64, "col_offset": 13, "nodeName": "_ts", "type": "TangentSpace"}, {"lineNumber": 65, "col_offset": 15, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 68, "col_offset": 13, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 69, "col_offset": 15, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 17, "col_offset": 43, "nodeName": "self", "type": "TangentSpace"}, {"lineNumber": 23, "col_offset": 42, "nodeName": "metric", "type": "str"}, {"lineNumber": 30, "col_offset": 43, "nodeName": "self", "type": "TangentSpace"}, {"lineNumber": 48, "col_offset": 13, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 49, "col_offset": 8, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 51, "col_offset": 12, "nodeName": "_lda", "type": "Any"}, {"lineNumber": 52, "col_offset": 28, "nodeName": "numpy", "type": "module"}, {"lineNumber": 52, "col_offset": 38, "nodeName": "W", "type": "Any"}, {"lineNumber": 52, "col_offset": 42, "nodeName": "pinv", "type": "Any"}, {"lineNumber": 57, "col_offset": 15, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 64, "col_offset": 13, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 23, "col_offset": 42, "nodeName": "self", "type": "TangentSpace"}, {"lineNumber": 46, "col_offset": 37, "nodeName": "len", "type": "Callable[[Sized], int]"}, {"lineNumber": 46, "col_offset": 41, "nodeName": "classes", "type": "Any"}, {"lineNumber": 51, "col_offset": 12, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 52, "col_offset": 42, "nodeName": "linalg", "type": "Any"}, {"lineNumber": 52, "col_offset": 60, "nodeName": "dot", "type": "Any"}, {"lineNumber": 52, "col_offset": 70, "nodeName": "W", "type": "Any"}, {"lineNumber": 52, "col_offset": 72, "nodeName": "T", "type": "Any"}, {"lineNumber": 46, "col_offset": 41, "nodeName": "self", "type": "FGDA"}, {"lineNumber": 52, "col_offset": 42, "nodeName": "numpy", "type": "module"}, {"lineNumber": 52, "col_offset": 60, "nodeName": "numpy", "type": "module"}, {"lineNumber": 52, "col_offset": 72, "nodeName": "W", "type": "Any"}] |
{"poster":"4 For Maggie","date":"2018-12-17T08:01:19.178+0000","title":"[TGSG] Die Ziellinie","subforum":"Allgemeiner Chat","up_votes":2,"down_votes":2,"body":"Bald ist sie erreicht und langsam wird es auch wirklich Zeit.\n\nDie Ziellinie und das angespannte Band das den Bereich markiert der uns sagen soll "durchstoße mich und du hast es geschafft!" ist bereits zum greifen nahe. Es fühlt sich wie ein Endspurt an bei dem man nochmal seine letzten Kräfte sammelt um das Erreichen des Ziels zu beschleunigen.\n\nBeschleunigen können wir hier leider gar nichts.\n\nAber wir haben die Gewissheit das bald alles vorbei sein wird. Zumindest für ein paar Wochen... oder Tage.\n\nIch für meinen Teil habe es glaube ich tatsächlich geschafft mir noch etwas einzufangen. Die kalte Nase am Freitag war kein gutes Zeichen... Zuhause konnte ich mich auch nicht ausruhen sondern war bis 20 Uhr damit beschäftigt Dinge zu erledigen. Was genial war weil ich da schon gefiebert habe und echt gedacht hab mein Kreislauf verabschiedet sich gleich. Sogar vor 21 Uhr aus dem Stream verabschiedet!\n\nUnd seit Samstag hab ich das Gefühl Sandpapier im Hals zu haben und (unaufdringlichen) Husten.\n\nWas ein Grund war warum ich Samstag Abend im Discord während der ARAMs so ruhig war! Naja und dieser Soliga-Irgendwas. Das war hyper anstrengend. Den hab ich übrigens bis gestern Abend immer noch für ein Weibchen gehalten und das er 12 sei für einen Joke.\n\nAber Sol war gestern bei R2D2 im Stream und da hab ich die Wahrheit gehört! Er ist wirklich erst 12! Nvm. Ich glaube ich hab mich entschuldigt .-.\n\nUnd mittlerweile fällt mir das sprechen echt schwer. Oder ist anstrengend. Das ist fast wie beim letzten Mal als mir der Kehlkopf so weh getan hat und ich dann eine Woche keine Stimme hatte c.c Hoffentlich quatscht heute niemand zu viel und die Anrufe halten sich auch in Grenzen.\n\nDie Nacht war auch beschissen! Ich war so gefühlt alle zehn Minute wach und hab mich nach links oder rechts geworfen. Zweimal hab ich so mit den Füßen ausgetreten das Rocky mich angeknurrt hat weil ich ihn dadurch weg geschubst habe XD Der sah heute Morgen auch ziemlich fertig aus.\n___\nGestern um 16 Uhr ca. hab ich meine aller ersten Bratäpfel gemacht :3\n\nIch selbst habe leider keinen bekommen XD dafür hatte ich dann ein Eis. Aber die Rückmeldung war "perfekte Konsistenz und super lecker. Gut gemacht"! HAAAAAAAAAAAAAAAAAA Da hab ich mich ja fast selbst angefasst für das Kompliment!\n\nNur diese verdammten Blätterteigtaschen habe ich wieder vergessen >.<\n___\nMittlerweile ist unsere Moni ja auch umgezogen.\n\nHat alles geklappt? Macht das einrichten Spaß? Zieht ihr das mit dem Doppelschreibtisch echt durch?\n___\nFür heute hatte ich mir eigentlich vorgenommen meinen Schrank hier aufzuräumen, aber naja. Ich lass mich einfach treiben.\n\nRuhigen Montag euch ihr kleinen Blattläuse <3","replies":[{"poster":"Nordwolf87","date":"2018-12-17T08:22:47.515+0000","up_votes":1,"down_votes":0,"body":"Gute Besserung o/ habs dir ja gesagt, das klingt als würdest du krank werden :-( \n\nIch hab auf jeden Fall noch 2 nervige Besprechungen diese Woche ._.\n\nAber daaann bis 1.1. frei \\o/\n\nMacht euch eig. die neue Blitzpartie spaß? Ich find sie mega abstrengend c.c","replies":[{"poster":"4 For Maggie","date":"2018-12-17T08:34:03.689+0000","up_votes":1,"down_votes":0,"body":"Aber es war so unwahrscheinlich noch krank zu werden >.< Vor allem lohnt es sich halt gar nicht, weil ich nur drei Tage diese Woche arbeiten muss. Im Prinzip... wenn ich den Schrank heute aufräume und alles sortiert bekomme das kein Chaos mehr herrscht ... kann ich ab Morgen ohne Sorgen fehlen. Aber wie gesagt... ist halt dumm für zwei Tage.\n\nAlso... Ich habe den neuen Modus noch gar nicht gespielt. Hin und wieder irgendwo zugesehen, aber das war es dann auch.\n\nIDK. Ich mag dieses hirnlose in einander rennen nicht. Quest Ingame hin oder her.","replies":[{"poster":"Nordwolf87","date":"2018-12-17T09:18:30.354+0000","up_votes":1,"down_votes":0,"body":"Ist doch perfekt. Bis Fr Krankenstand, 27/28 Urlaub. Hast in Summe von heute bis 1.1. frei :^)\n\nIch spiele ihn für die Quests. Der Porobegleiter ist einfach putzig x.x aber der Modus macht mir nicht wirklich Spass ._.\n\nNach weihnachten hab ih dann frei, da komm ich dann endlich wieder mal zum Ranked spielen. Momentan komm ich zu 1 Botgame für den FWOTD auf Main und Smurf....das wars <.<","replies":[{"poster":"00 M4ddin 00","date":"2018-12-17T09:22:28.126+0000","up_votes":2,"down_votes":0,"body":"Will auch den Poro Begleiter :( \nAber dafür den neuen Modus zu spielen ist mir mir doof. \n\nSchade das man solche Missionen nicht etwas schwerer machen kann aber dafür kann man sie in Normals bzw ranked ab arbeiten :/","replies":[]}]}]}]},{"poster":"Nordwolf87","date":"2018-12-17T13:12:36.542+0000","up_votes":1,"down_votes":0,"body":"Na Bitte! Hat der Tag auch schon was gebracht! Dank Maggi weiß ich jetzt dass man die AniviaQ kontrollieren/reaktivieren kann. Das könnte es erheblich erleichtern xD\n\n.........\n.........\n\nViel mehr produktives war hier in 6h Büro nicht rauszuholen {{sticker:sg-ahri-2}}","replies":[{"poster":"4 For Maggie","date":"2018-12-17T13:20:01.432+0000","up_votes":1,"down_votes":0,"body":"Apropos Produktivität.\n\nIch habe tatsächlich angefangen den Schrank aufzuräumen. Oder nennen wir es \"die versteckten Dinge zu beseitigen die ich immer nur gehortet habe\". Das mache ich immer vor einem Urlaub oder wenn ich weiß das ich am nächsten Tag oder nach einem Wochenende nicht zur Arbeit komme XD Dann sind alle verräterischen Spuren beseitigt und wenn irgendwas wichtiges gesucht aber nicht gefunden wird, dürfen die Aushilfen mir per WhatsApp schreiben :o Aber nur die Aushilfen! Alle anderen Stellen ignoriere ich gekonnt :3\n\nIn der Theorie könnte ich jetzt noch drei Bewohnerakten anlegen. Actually vier I guess. Aber... ich brauch noch etwas Zeit um heraus zu finden wie die letzten zwei Stunden und zwei Tage zu überleben sind :>","replies":[{"poster":"Nordwolf87","date":"2018-12-17T13:26:35.822+0000","up_votes":1,"down_votes":0,"body":"Das nennt sich bei mir \"Ablage machen\"...2/3 schmeiß ich weg...1/6 leg ich ab...1/6 bleibt am Schreibtisch....könnte ich nochmal brauchen xD","replies":[{"poster":"4 For Maggie","date":"2018-12-17T13:31:32.019+0000","up_votes":1,"down_votes":0,"body":"XD Heilige Makrele!\n\nIn meiner Ausbildung, als ich ins Büro weg gesperrt wurde, hat man mich auch Ablage machen lassen wenn man nicht wusste was man mit mir machen sollte. Ich durfte ja im Prinzip nichts selbst und alleine machen weil ich ja so schlimm war :') Wurde ich nicht ins Archiv geschickt (wo ich dann den ganzen Tag geschlafen habe <3) - gab es eben Ablage.\n\nUnd das war die Hölle! Gaby und Frau Pferd sammeln ALLES! EINFACH ALLES!!!!!!!!!!!!!!!!!!!!!!!!! In ihren verkackten Ablagefächern! Da hast du teilweise Sachen von vor zwei Jahren in den Händen XD Wie oft mir einfach die Augen zu gefallen sind von dieser weg hefterei.\n\nIn höchst seltenen Fällen sagt Gaby schon mal (wenn Frau Pferd in Urlaub ist) das ich Ablage machen kann wenn nichts anderes mehr da ist. Aber glücklicherweise horte ich Unterlagen der Bewohner im Schrank XD Das ist immer so mein Notfallplan.","replies":[{"poster":"Nordwolf87","date":"2018-12-17T13:42:02.049+0000","up_votes":1,"down_votes":0,"body":"Naja sollt ichs doch wieder brauchen, druck ichs nochmal aus :3\n\nAber ja Patientenunterlagen sind wohl auch wichtiger als irgendwelche Berechnungen ;)\n\nHahaha du bist vl eine...schlafst einfach im Archiv xD","replies":[{"poster":"4 For Maggie","date":"2018-12-17T14:01:18.152+0000","up_votes":1,"down_votes":0,"body":"XD Was hätte ich denn sonst tun sollen?!\n\nDas erste mal hat man mich nach unten verbannt weil der Chef von meiner Chefin zu einem Gespräch hier war. Und da sie offensichtlich wussten das er schreien würde und ich nichts mitbekommen soll von dem was besprochen wird... musste ich aus dem Weg geräumt werden.\n\nNur weiß ich halt wann ich abgeschoben werde und nehme mir das dementsprechend zu herzen. Ob ich etwas/ jemanden nicht ausstehen kann oder nicht. Ich lief also erst mal weinend im Keller rum bis Tommy mich gefunden hat XD ein damaliger Haustechniker.\n\nBis er mir dann bewusst gemacht hat das die mir eigentlich einen Gefallen getan haben ^^ Also hab ich mir im Archiv was zusammen geschoben, alle Türen zu gemacht (ohne Schlüssel konnte man die eh nur von innen öffnen) und geschlafen :> Hin und wieder irgendwo raus gegangen - auf den Balkonen geraucht - wieder nach unten und geschlafen.\n\n\\o/ Und danach war ich eine Woche krank!","replies":[{"poster":"Qbert","date":"2018-12-17T14:04:02.394+0000","up_votes":1,"down_votes":0,"body":"lol ... du machst Sachen","replies":[{"poster":"4 For Maggie","date":"2018-12-17T14:05:09.648+0000","up_votes":1,"down_votes":0,"body":"Uff XD Das hätte doch jeder gemacht der bei klarem Verstand ist!\n\nAußer das mit der Weinerei vielleicht :p","replies":[{"poster":"Qbert","date":"2018-12-17T14:10:40.777+0000","up_votes":1,"down_votes":0,"body":"ja, aber dann da einfach zu pennen ... xD","replies":[{"poster":"4 For Maggie","date":"2018-12-17T14:27:08.724+0000","up_votes":1,"down_votes":0,"body":":D Was hätte ich sonst machen sollen?","replies":[{"poster":"Nordwolf87","date":"2018-12-17T14:58:15.651+0000","up_votes":1,"down_votes":0,"body":"Lesen? :D","replies":[{"poster":"4 For Maggie","date":"2018-12-17T19:35:39.586+0000","up_votes":1,"down_votes":0,"body":"Hatte kein Buch dabei :(","replies":[{"poster":"Nordwolf87","date":"2018-12-18T09:33:23.458+0000","up_votes":1,"down_votes":0,"body":"In einem \"Archiv\" sollte es eigentlich genug zu lesen geben :^)","replies":[{"poster":"4 For Maggie","date":"2018-12-18T10:02:46.203+0000","up_votes":1,"down_votes":0,"body":"Dieses \"Archiv\" besitzt lediglich ein paar rein geschmissene Ordner und der Rest ist Krempel und Müll der dort abgestellt wurde. Eine Nähmaschine, Dekoration für Oster und Weihnachtsn etc. Handtücher und Co die vor der Pflege versteckt werden statt sie zu verteilen usw XD","replies":[]}]}]}]},{"poster":"Qbert","date":"2018-12-17T14:43:35.993+0000","up_votes":1,"down_votes":0,"body":"arbeiten?! :D","replies":[{"poster":"4 For Maggie","date":"2018-12-17T14:49:15.442+0000","up_votes":1,"down_votes":0,"body":"lol? Im Archiv? Aufräumen und Grundreinigung oder was?\n\nAlso ich hab vielleicht wirklich einen an der Waffel, aber so bescheuert bin ich dann auch wieder nicht XD\n\nMan hätte ja auch am Vortag sagen können \"Jo Bro! Morgen sind die ganz großen Fische am Start. Du kannst einen Tag frei machen und durchs Seegras gleiten!\" DAS wäre vernünftig gewesen :>","replies":[{"poster":"Qbert","date":"2018-12-17T15:01:21.839+0000","up_votes":1,"down_votes":0,"body":"durch's Seegras gleiten?!! x'D","replies":[{"poster":"4 For Maggie","date":"2018-12-17T19:36:35.632+0000","up_votes":1,"down_votes":0,"body":"Naja ... (Große) Fische? Wasser? See/ Meer? Seegras!\n{{sticker:sg-miss-fortune}} {{sticker:sg-miss-fortune}}","replies":[]}]}]}]}]}]}]}]},{"poster":"Nordwolf87","date":"2018-12-17T14:08:17.162+0000","up_votes":1,"down_votes":0,"body":"Hmm...ich bin immer froh wenn ich bei den Streierein der Cheffitäten nicht dabei sein muss x.x","replies":[{"poster":"4 For Maggie","date":"2018-12-17T14:18:06.136+0000","up_votes":1,"down_votes":0,"body":"Oh doch. Ich brauch das.\n\nDeswegen liebe ich auch die Heimaufsicht, gerade wenn sie machen was sie wollen und alle dumm da stehen lassen :> und nur lieb zu mir sind. \\o/ Der männliche Part der Heimaufsicht hat sogar eine Tochter die so heißt wie ich :] wir sind richtige Bro's. Okay... nicht so richtig... aber so ziemlich ... fast ... ???????????\n\nDann kriegen nämlich alle einen auf den Deckel :3","replies":[]}]}]}]}]}]}]}]},{"poster":"4 For Maggie","date":"2018-12-17T14:43:45.901+0000","up_votes":1,"down_votes":0,"body":"SOOOOOOOOO LANGWEILIG.\n\nUnd immer noch 15 Minuten c.c","replies":[{"poster":"Mjölnir Kind","date":"2018-12-17T14:44:12.619+0000","up_votes":1,"down_votes":0,"body":"45 Minuten D:","replies":[{"poster":"4 For Maggie","date":"2018-12-17T14:47:11.123+0000","up_votes":1,"down_votes":0,"body":"BAAAAAAAAAHHHHHHHHHHHHHHH\n\n:o Aber du hattest den Vormittag über frei. Du kleines Schlitzohr wolltest mich austricksen :O","replies":[{"poster":"Mjölnir Kind","date":"2018-12-17T14:48:24.909+0000","up_votes":1,"down_votes":0,"body":"yup :D\nUnd als ich MIttag gekommen bin, hab ich erstmal 30 Minuten Pause gemacht xD","replies":[{"poster":"4 For Maggie","date":"2018-12-17T14:50:35.753+0000","up_votes":1,"down_votes":0,"body":"XD Und erst mal gegessen?\n\nDas ist ja wie am Wochenende zuhause :D Gemütlich ausschlafen, spazieren, duschen, essen!","replies":[{"poster":"Mjölnir Kind","date":"2018-12-17T14:51:42.474+0000","up_votes":1,"down_votes":0,"body":"Natürlich, gab lecker Schaschlikpfanne :3","replies":[{"poster":"4 For Maggie","date":"2018-12-17T15:01:04.230+0000","up_votes":1,"down_votes":0,"body":"Hmmm weiß noch gar nicht was es heute Abend zu Essen gibt, was ich dann morgen mitnehmen könnte. Oder ob ich wieder was (diesmal nicht verhunztes) aus dem Hut zaubern muss.\n\nFest steht... Dienstag Abend bereite ich mein letztes Mahl vor welches ich Mittwoch Nachmittag auf der Arbeit verspeisen werde. Dann bestelle ich die geilsten Pizzabrötchen die es gibt und starte damit in den Urlaub <3","replies":[]}]}]}]}]}]}]},{"poster":"XenesisCH","date":"2018-12-17T14:05:25.667+0000","up_votes":1,"down_votes":0,"body":"Weisheit des Tages:\n\n_Sport gibt dir das Gefühl besser auszusehen. Glühwein übrigens auch._","replies":[{"poster":"4 For Maggie","date":"2018-12-17T14:09:11.441+0000","up_votes":1,"down_votes":0,"body":"Ich vermisse den Alkohol ziemlich oft :(","replies":[{"poster":"XenesisCH","date":"2018-12-17T14:25:58.650+0000","up_votes":1,"down_votes":0,"body":"Was spricht denn gegen einen Becher Glühwein? D:","replies":[{"poster":"4 For Maggie","date":"2018-12-17T14:28:23.047+0000","up_votes":1,"down_votes":0,"body":"Der Drang-Zwang sich betrinken zu wollen c.c\n\nAber das kann ich nicht mehr wegen meinem Köpfchen -.-' volle Katastrophe.","replies":[]}]}]}]},{"poster":"Mjölnir Kind","date":"2018-12-17T10:32:03.124+0000","up_votes":1,"down_votes":0,"body":"at Wörk nauw!\nAlso wer die Mam von Lenard(?) kennt, von Big Bang, kann sich vorstellen wir so phychologen aussehen.. xD\nDie mit der ich vorhin geredet habe, hat 1 zu 1 so ausgesehen xDD iwie schon gruslig xD","replies":[{"poster":"4 For Maggie","date":"2018-12-17T10:47:28.908+0000","up_votes":1,"down_votes":0,"body":"Bzgl. des Fragezeichens = Leonard ^^\n\nUnd ja c.c die sehen fast alle so aus als wären sie einem Ei entsprungen.\n\nDa fällt mir gerade ein (wie ich hoffe) super Film ein mit Naomi Watts (glaube ich XD). Keine Angst, sie spielt eine hübsche junge Psychologin :> Aber sie manipuliert ihre Patienten und gerät dadurch in eine gewisse Abhängigkeit. Ich glaube sie erzeugt Pseudobeziehungen und schläft mit ihnen. Keine Ahnung ob noch andere Dinge passieren, aber der Film sieht so gut aus das ich ihn gucken werde. Irgendwann!\n\nLeider weiß ich den Titel gerade nicht D: Und erkenne ihn in ihrer Filmografie nicht wieder.","replies":[{"poster":"Qbert","date":"2018-12-17T11:15:07.765+0000","up_votes":1,"down_votes":0,"body":"Es gibt auch Lennart oder Lennard :P","replies":[{"poster":"4 For Maggie","date":"2018-12-17T11:41:44.555+0000","up_votes":1,"down_votes":0,"body":"Jaaaaa :o Aber es geht um den Big Bang Theory Leonard. Und der wird Leonard geschrieben :3","replies":[{"poster":"Qbert","date":"2018-12-17T11:48:17.787+0000","up_votes":1,"down_votes":0,"body":"Ist das so? ich glaube dir das nun einfach mal :)","replies":[{"poster":"4 For Maggie","date":"2018-12-17T12:15:52.863+0000","up_votes":1,"down_votes":0,"body":":'D Ich wüsste sonst keine Mutter eines Leonards die Psychologin ist und so aussieht wie man sich eine vorstellt :D Und Sophia hat nicht widersprochen :o","replies":[{"poster":"Qbert","date":"2018-12-17T12:17:36.719+0000","up_votes":1,"down_votes":0,"body":"Ja ne, ich meinte, dass der Leonard so geschrieben wird :D","replies":[{"poster":"4 For Maggie","date":"2018-12-17T12:22:08.403+0000","up_votes":1,"down_votes":0,"body":"Aso :D\n\nAlso... Hab Google gefragt bevor ich hier irgendwelche Behauptungen und Klugscheißerei reinwerfe :3\n\nUnd Google sagt Leonard Hofstadter.\n\nWas mich tbh immer verwirrt. Seit Jahren! Für mich wird das L**EO**nard ausgesprochen und nicht Lennard o.ä. XD Wenn man ihn Lennard nennt, kann man doch auch seinen Namen so schreiben, oder?\n#ODER?\n{{sticker:sg-zephyr}} ","replies":[{"poster":"Nordwolf87","date":"2018-12-17T12:29:00.350+0000","up_votes":1,"down_votes":0,"body":"Funfact: die Namen sind von 2 wirklichen Physik Nobelpreisträgern geborgt. Die hießen Leonard Cooper und Sheldon Hofstadter.\n\n:)","replies":[{"poster":"Qbert","date":"2018-12-17T13:29:11.737+0000","up_votes":1,"down_votes":0,"body":"ohne dich jetzt ärgern zu wollen ... aber zu den Wissenschaftlern lässt sich nix finden ...\n\nDie einzige Verbindung über die ich mal gestolpert bin, war das Cooper-Paar in der Physik.\nDer Physiker heißt auch Leon Cooper ... vllt. ja daher?\n\nsiehe https://de.wikipedia.org/wiki/Cooper-Paar","replies":[{"poster":"Nordwolf87","date":"2018-12-17T13:36:13.467+0000","up_votes":1,"down_votes":0,"body":"Ah ich hatte es falsch im kopf...my bad...\n\n*Leonard is named after actor/producer Sheldon Leonard, and Nobel Prize in Physics Laureate Robert Hofstadter.*\n\n*Sheldon is named in honor of actor/producer Sheldon Leonard and Nobel Prize Laureate Leon Cooper.*","replies":[{"poster":"Qbert","date":"2018-12-17T13:40:13.698+0000","up_votes":1,"down_votes":0,"body":"aaaaaaaaaaaah so wird ein Schuh draus, man lernt nie aus ^^ \n\nIch bin während meines Studiums im letzten Semester über das Cooper-Paar gestolpert :D","replies":[]}]}]},{"poster":"4 For Maggie","date":"2018-12-17T12:33:17.232+0000","up_votes":1,"down_votes":0,"body":"Wieso vertauschen die denn jetzt beide Vornamen (oder Nachnamen?) und schreiben davon einen auch noch so wie er nicht ausgesprochen wird?!?!?!?!?!?!?!?!?!?!?!?!?!?!?\n\nXD Ich will ja nicht sagen das mich das wütend macht, ABER..............","replies":[{"poster":"Nordwolf87","date":"2018-12-17T12:57:04.540+0000","up_votes":1,"down_votes":0,"body":"Idk vielleicht hätten sie sonst Tantiemen für die Namensnutzung zahlen müssen...\n\nDas ist leider bei Leonard so...auvh bei Leonard Nimoy...den spricht man auch Lennard Nimoi aus :-/","replies":[{"poster":"4 For Maggie","date":"2018-12-17T13:00:33.468+0000","up_votes":1,"down_votes":0,"body":"Okay. Ich kann also Leute zwingen meinen Namen wie \"Lasagne\" auszusprechen?","replies":[]}]}]}]}]}]}]}]}]}]}]}]}]} |
{"title":"Arrow.S02E07.HDTV.x264-NautiE","uid":9227353,"size":141703512,"categoryP":"video","categoryS":"tv_shows","magnet":"?xt=urn:btih:05a2c936a67de0177b95b21a1f1e06a4bcdd8376&dn=Arrow.S02E07.HDTV.x264-NautiE&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":"TheNautiE","files":2,"time":1385025344,"description":"Arrow- S01E07 - State vs Queen\nOriginal Air Date - November 20, 2013\nSource - LOL\nSubtitle - English (Thanks elderman)\n\n-------------\nScreenshots:- \n-------------\n\n","torrent":{"xt":"urn:btih:05a2c936a67de0177b95b21a1f1e06a4bcdd8376","amp;dn":"Arrow.S02E07.HDTV.x264-NautiE","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":"05a2c936a67de0177b95b21a1f1e06a4bcdd8376","infoHashBuffer":{"type":"Buffer","data":[5,162,201,54,166,125,224,23,123,149,178,26,31,30,6,164,188,221,131,118]},"announce":[],"urlList":[]}} |
{
"name": "sycn-to-storage",
"version": "0.0.0",
"private": true,
"scripts": {
"start": "node ./bin/www"
},
"dependencies": {
"@azure/storage-blob": "^10.3.0",
"azure-storage": "^2.10.3",
"cookie-parser": "~1.4.4",
"debug": "~2.6.9",
"express": "~4.16.1",
"http-errors": "~1.6.3",
"morgan": "~1.9.1",
"node-cache": "^4.2.0",
"pug": "^2.0.3",
"pug-cli": "^1.0.0-alpha6"
},
"devDependencies": {
"nodemon": "^1.19.0"
},
"nodemonConfig": {
"ext": "js",
"ignore": [
"test/*",
"docs/*",
"public/*"
],
"delay": "2500"
}
}
|
{"event": [{"venue_id": 161, "title": "에반스라운지 금요공연", "date": "2013-09-06", "price": "1만원", "time": "20:00", "venue": "에반스라운지", "lineup": [{"name": "온더스팟", "musician_id": 902}, {"name": "여자밴드", "musician_id": 2082}, {"name": "엑티비티(Activity)", "musician_id": 2745}, {"name": "The Fix", "musician_id": 3399}]}, {"venue_id": 161, "title": "에반스라운지", "date": "2013-07-13", "price": "10000원", "time": "20:00", "venue": "에반스라운지", "lineup": [{"name": "온더스팟", "musician_id": 902}, {"name": "라임베리", "musician_id": 1352}, {"name": "엑티비티(Activity)", "musician_id": 2745}]}, {"venue_id": 161, "title": "문웨일즈,온더스팟,말하기듣기", "date": "2013-06-20", "time": "20:00", "venue": "에반스라운지", "lineup": [{"name": "온더스팟", "musician_id": 902}, {"name": "문웨일즈(Moonwhales)", "musician_id": 2403}, {"name": "말하기듣기", "musician_id": 2602}]}, {"venue_id": 20, "title": "6/11(화)~6/13(목) 클럽FF 공연", "date": "2013-06-11", "time": "20:00", "venue": "클럽 FF", "lineup": [{"name": "온더스팟", "musician_id": 902}, {"name": "블루스완", "musician_id": 2030}]}, {"venue_id": 10, "title": "제4회 신촌,살아있는 음악인들의 밤", "date": "2013-01-24", "time": "19:00", "venue": "긱 라이브하우스 (GEEK)", "lineup": [{"name": "일렉스틱 (elekstic)", "musician_id": 714}, {"name": "온더스팟", "musician_id": 902}, {"name": "코카인헤드(Khocane Head)", "musician_id": 2158}, {"name": "nukie", "musician_id": 2206}]}, {"venue_id": 17, "title": "a.o.r 자체기획공연", "date": "2013-01-11", "time": "20:00", "venue": "ALL OF ROCK (A.O.R)", "lineup": [{"name": "온더스팟", "musician_id": 902}, {"name": "nukie", "musician_id": 2206}]}, {"venue_id": 10, "title": "신촌, 살아있는 음악들의 밤", "date": "2012-01-24", "price": "현매10,000/예매8,000(+1 free drink)", "time": "19:00", "venue": "긱 라이브하우스 (GEEK)", "lineup": [{"name": "세정", "musician_id": 272}, {"name": "괴물서커스단", "musician_id": 469}, {"name": "일렉스틱 (elekstic)", "musician_id": 714}, {"name": "온더스팟", "musician_id": 902}, {"name": "Sountruck", "musician_id": 1426}, {"name": "Rainbow Stage (레인보우스테이지)", "musician_id": 1620}, {"name": "초이", "musician_id": 2071}, {"name": "코카인헤드(Khocane Head)", "musician_id": 2158}, {"name": "nukie", "musician_id": 2206}, {"name": "신현희와 김루트", "musician_id": 2586}]}], "album": [{"songs": ["1. 아마추어 배트맨"], "albumtitle": "온더스팟 : digital single - 아마추어 배트맨 (2012)"}, {"songs": ["1. 방황해도 괜찮아"], "albumtitle": "온더스팟 : digital single - 방황해도 괜찮아 (2012)"}, {"songs": ["1. 멍텅구리"], "albumtitle": "온더스팟 : digital single - 멍텅구리 (2012)"}, {"songs": ["1. So Cool"], "albumtitle": "온더스팟 : digital single - So Cool (2011)"}], "regular_musician": [{"name": "온더스팟", "musician_id": 902, "event_count": 7}, {"name": "nukie", "musician_id": 2206, "event_count": 3}, {"name": "코카인헤드(Khocane Head)", "musician_id": 2158, "event_count": 2}, {"name": "엑티비티(Activity)", "musician_id": 2745, "event_count": 2}, {"name": "일렉스틱 (elekstic)", "musician_id": 714, "event_count": 2}, {"name": "여자밴드", "musician_id": 2082, "event_count": 1}, {"name": "문웨일즈(Moonwhales)", "musician_id": 2403, "event_count": 1}, {"name": "The Fix", "musician_id": 3399, "event_count": 1}, {"name": "라임베리", "musician_id": 1352, "event_count": 1}, {"name": "말하기듣기", "musician_id": 2602, "event_count": 1}, {"name": "블루스완", "musician_id": 2030, "event_count": 1}, {"name": "세정", "musician_id": 272, "event_count": 1}, {"name": "Sountruck", "musician_id": 1426, "event_count": 1}, {"name": "Rainbow Stage (레인보우스테이지)", "musician_id": 1620, "event_count": 1}, {"name": "초이", "musician_id": 2071, "event_count": 1}, {"name": "신현희와 김루트", "musician_id": 2586, "event_count": 1}, {"name": "괴물서커스단", "musician_id": 469, "event_count": 1}], "name": "온더스팟", "musician_id": 902} |
{"id":"3307","NAM":"GAGP78020390","last":"GAGNON","first":"PIERRE GARANT","birth":"1978/02/03"} |
{"poster":"devilman10","date":"2017-12-13T04:29:28.234+0000","title":"ayuda partida en curso","subforum":"Problemas Técnicos","up_votes":3,"down_votes":0,"body":"alguien ayuda, no puedo salir de una partida en curso que ya acabó, solo necesito eso, ya que al querer reconectar sale reintentar y no puedo hacer nada mas que estar en el limbo\n{{sticker:zombie-nunu-tears}}\n\nSoluciona2, gracias rito\n\n{{sticker:sg-kiko}} ","replies":[{"poster":"Yinko170","date":"2017-12-13T04:38:23.660+0000","up_votes":1,"down_votes":0,"body":"Tengo el mismo problema!! {{sticker:sg-janna}}","replies":[]},{"poster":"Ginecologo de LU","date":"2017-12-13T04:31:35.288+0000","up_votes":1,"down_votes":0,"body":"creo que soy de la misma partida, terminamos la partida y ganamos jhin y ashe(yo) pero revise si me conto para las misiones y nada entonces se puso la pantalla negra de partida en curso y pues no puedo hacer mas","replies":[{"poster":"devilman10","date":"2017-12-13T04:32:47.224+0000","up_votes":1,"down_votes":0,"body":"yo soy de ashe vs ashe yo era galio","replies":[]}]},{"poster":"DiegoAuditore1","date":"2017-12-13T04:31:19.381+0000","up_votes":1,"down_votes":0,"body":"Somos 2 D:","replies":[]}]} |
{"title":"Dark.Matter.S01E08.HDTV.x264-KILLERS.[VTV].mp4","uid":12179801,"size":245697425,"categoryP":"video","categoryS":"tv_shows","magnet":"?xt=urn:btih:8295f5a4907db9fb0d873d5a31e4a3e91168a83f&dn=Dark.Matter.S01E08.HDTV.x264-KILLERS.%5BVTV%5D.mp4&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":"VTV","files":1,"time":1438407004,"description":"Dark Matter 1x08 (HDTV-x264-KILLERS)[VTV]","torrent":{"xt":"urn:btih:8295f5a4907db9fb0d873d5a31e4a3e91168a83f","amp;dn":"Dark.Matter.S01E08.HDTV.x264-KILLERS.%5BVTV%5D.mp4","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":"8295f5a4907db9fb0d873d5a31e4a3e91168a83f","infoHashBuffer":{"type":"Buffer","data":[130,149,245,164,144,125,185,251,13,135,61,90,49,228,163,233,17,104,168,63]},"announce":[],"urlList":[]}} |
{
"forum_title": "Ljóð",
"user": "Laruz",
"user_id": "39768",
"date": "2003-06-07 13:47:53",
"title": "í aftursætinu",
"text": "Ég sit hér í þröngu belti\nKrakkarnir öskra og væla\nÉg hræddur um að bíllinn velti\nEn svo heyri ég dekkin skæla\nTil hliðar við tökumst á\nbeint út í hina miklu á\nsvo blotnum við fötum á\nog komum okkur beint upp úr á\nsvo löbbum við veginum á\nhittum eina gamla á\nsem vildi bara segja mee\nen ég vildi bara heyra á\nþrátt fyrir þessa ferð\nég mikið upplifði\nen eitt ég veit þó\nað í aftur sætði aldrei fe",
"url": "https://www.hugi.is/ljod/greinar/148005/i-aftursaetinu/",
"url_id": "148005",
"id": "1122030",
"replies": []
} |
[{"lineNumber": 6, "col_offset": 9, "nodeName": "join", "type": "Callable"}, {"lineNumber": 8, "col_offset": 26, "nodeName": "stream", "type": "file"}, {"lineNumber": 9, "col_offset": 4, "nodeName": "EXTENSIONS", "type": "Any"}, {"lineNumber": 6, "col_offset": 9, "nodeName": "path", "type": "module"}, {"lineNumber": 7, "col_offset": 4, "nodeName": "abspath", "type": "Callable"}, {"lineNumber": 8, "col_offset": 5, "nodeName": "open", "type": "Callable[..., file]"}, {"lineNumber": 8, "col_offset": 10, "nodeName": "_ext_f", "type": "str"}, {"lineNumber": 9, "col_offset": 17, "nodeName": "safe_load", "type": "Callable[[Union[str, IO[str]]], Any]"}, {"lineNumber": 9, "col_offset": 32, "nodeName": "stream", "type": "file"}, {"lineNumber": 6, "col_offset": 9, "nodeName": "os", "type": "module"}, {"lineNumber": 7, "col_offset": 4, "nodeName": "path", "type": "module"}, {"lineNumber": 7, "col_offset": 20, "nodeName": "dirname", "type": "Callable"}, {"lineNumber": 7, "col_offset": 36, "nodeName": "__file__", "type": "str"}, {"lineNumber": 9, "col_offset": 17, "nodeName": "yaml", "type": "module"}, {"lineNumber": 7, "col_offset": 4, "nodeName": "os", "type": "module"}, {"lineNumber": 7, "col_offset": 20, "nodeName": "path", "type": "module"}, {"lineNumber": 7, "col_offset": 20, "nodeName": "os", "type": "module"}] |
{"code":"530402","province_code":"53","regency_code":"5304","name":"TASIFETOTIMUR"} |
{"orbit": 8, "tup": [34, 54, 153, 384, 538], "Type": 507, "str_rep": "1 2 2 3 3\n 1 2 2 3 4\n 1 1 2 3 4\n 5 1 5 3 4\n 5 5 5 4 4", "html_rep": "<span style=\"color:#73C6B6\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#CD6155\">◼</span><br/> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#A569BD\">◼</span><br/> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#A569BD\">◼</span><br/> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#A569BD\">◼</span><br/> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#A569BD\">◼</span> <span style=\"color:#A569BD\">◼</span>", "name": 507, "id": 0, "children": [{"orbit": 8, "tup": [34, 54, 149, 525, 538], "Type": 32, "str_rep": "1 2 2 3 3\n 1 2 2 3 3\n 1 1 2 3 4\n 5 1 5 4 4\n 5 5 5 4 4", "html_rep": "<span style=\"color:#73C6B6\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#CD6155\">◼</span><br/> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#CD6155\">◼</span><br/> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#A569BD\">◼</span><br/> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#A569BD\">◼</span> <span style=\"color:#A569BD\">◼</span><br/> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#A569BD\">◼</span> <span style=\"color:#A569BD\">◼</span>", "name": 32, "id": 1}, {"orbit": 8, "tup": [3, 187, 207, 528, 569], "Type": 156, "str_rep": "1 1 1 1 2\n 3 3 1 2 2\n 3 3 3 2 2\n 4 4 4 4 5\n 4 5 5 5 5", "html_rep": "<span style=\"color:#73C6B6\">◼</span> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#F4D03F\">◼</span><br/> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#F4D03F\">◼</span><br/> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#F4D03F\">◼</span><br/> <span style=\"color:#A569BD\">◼</span> <span style=\"color:#A569BD\">◼</span> <span style=\"color:#A569BD\">◼</span> <span style=\"color:#A569BD\">◼</span> <span style=\"color:#4682B4\">◼</span><br/> <span style=\"color:#A569BD\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#4682B4\">◼</span>", "name": 156, "id": 2}, {"orbit": 8, "tup": [16, 93, 282, 362, 495], "Type": 165, "str_rep": "1 1 2 2 2\n 1 3 2 4 2\n 1 3 5 4 4\n 1 3 5 4 4\n 3 3 5 5 5", "html_rep": "<span style=\"color:#73C6B6\">◼</span> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#F4D03F\">◼</span><br/> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#A569BD\">◼</span> <span style=\"color:#F4D03F\">◼</span><br/> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#A569BD\">◼</span> <span style=\"color:#A569BD\">◼</span><br/> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#A569BD\">◼</span> <span style=\"color:#A569BD\">◼</span><br/> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#4682B4\">◼</span>", "name": 165, "id": 3}, {"orbit": 8, "tup": [34, 54, 181, 194, 538], "Type": 441, "str_rep": "1 2 2 3 4\n 1 2 2 3 4\n 1 1 2 3 4\n 5 1 5 3 4\n 5 5 5 3 4", "html_rep": "<span style=\"color:#73C6B6\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#A569BD\">◼</span><br/> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#A569BD\">◼</span><br/> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#A569BD\">◼</span><br/> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#A569BD\">◼</span><br/> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#A569BD\">◼</span>", "name": 441, "id": 4}, {"orbit": 8, "tup": [8, 153, 221, 384, 538], "Type": 487, "str_rep": "1 1 1 2 2\n 3 1 1 2 4\n 3 3 3 2 4\n 5 3 5 2 4\n 5 5 5 4 4", "html_rep": "<span style=\"color:#73C6B6\">◼</span> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#F4D03F\">◼</span><br/> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#73C6B6\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#A569BD\">◼</span><br/> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#A569BD\">◼</span><br/> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#CD6155\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#F4D03F\">◼</span> <span style=\"color:#A569BD\">◼</span><br/> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#4682B4\">◼</span> <span style=\"color:#A569BD\">◼</span> <span style=\"color:#A569BD\">◼</span>", "name": 487, "id": 5}]} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.