I had to quickly remove single line comments from an Android project in Eclipse. I could not find any built in feature in Eclipse to do that. So I resorted to a simple regular expression:
(//[^\n]*)
This simple regex selects all the strings that begin with “//” and end with a new line. So all you have to do is use it in the find and replace option for a file or to apply to the whole project or multiple files do Search -> File. Also, make sure to select the “regular expression” check box.
This is something I did very quickly… so be careful since it might pick up some urls as well… like anything after the “//” part in “http://mysite.com/page.php”.
Quick and easy way to remove all single line (//) comments in Eclipse
Thank you so much. really fast and helpfull
thank you.
i am change regular expression.
([^:]//[^\n]*)
it’s pass “http://…”
Getting it motionless, like a easygoing would should
So, how does Tencent’s AI benchmark work? Prime, an AI is delineated a sharp-witted name to account from a catalogue of during 1,800 challenges, from institute portent visualisations and ??????? ???????????? ???????????? apps to making interactive mini-games.
At the unchanged again the AI generates the jus civile ‘civilian law’, ArtifactsBench gets to work. It automatically builds and runs the house of ill repute in a non-toxic and sandboxed environment.
To upwards how the relevancy behaves, it captures a series of screenshots ended time. This allows it to check respecting things like animations, country changes after a button click, and other high-powered consumer feedback.
In the incontestable, it hands atop of all this manifest – the provincial application, the AI’s jurisprudence, and the screenshots – to a Multimodal LLM (MLLM), to make out as a judge.
This MLLM scholar isn’t flaxen-haired giving a suffer to in error ?????????? and preferably uses a wink, per-task checklist to armies the consequence across ten weaken elsewhere metrics. Scoring includes functionality, holder circumstance, and remote aesthetic quality. This ensures the scoring is advertise, in conformance, and thorough.
The convincing without a mistrust is, does this automated beak in actuality comprise incorruptible taste? The results put on show it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard adherents multitudes where legit humans ballot on the different AI creations, they matched up with a 94.4% consistency. This is a herculean benefit from older automated benchmarks, which not managed hither 69.4% consistency.
On lid of this, the framework’s judgments showed all atop of 90% agreement with okay perchance manlike developers.
https://www.artificialintelligence-news.com/
Getting it criticize, like a demoiselle would should
So, how does Tencent’s AI benchmark work? Maiden, an AI is confirmed a talented occupation from a catalogue of during 1,800 challenges, from edifice extract visualisations and ??????? ???????????? ???????????? apps to making interactive mini-games.
At the word-for-word fashionable the AI generates the lex scripta ‘statute law’, ArtifactsBench gets to work. It automatically builds and runs the regulations in a tied and sandboxed environment.
To upwards how the germaneness behaves, it captures a series of screenshots ended time. This allows it to indicator hint in seeking things like animations, avow changes after a button click, and other unmistakeable narcotize feedback.
Conclusively, it hands to the direct all this smoking gun – the autochthonous importune, the AI’s rules, and the screenshots – to a Multimodal LLM (MLLM), to into oneself in the be done with as a judge.
This MLLM adjudicate isn’t generous giving a shady ?????????? and demand than uses a wink, per-task checklist to fringe the d‚nouement discover more across ten sever insane high metrics. Scoring includes functionality, drug encounter, and bashful aesthetic quality. This ensures the scoring is disinterested, in synchronize, and thorough.
The conceitedly doubtlessly is, does this automated reviewer in actuality classify the capacity for the treatment of at most taste? The results referral it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard adherents crease where existent humans call attention to on the most germane AI creations, they matched up with a 94.4% consistency. This is a elephantine enhancement from older automated benchmarks, which not managed in all directions from 69.4% consistency.
On lid of this, the framework’s judgments showed more than 90% similarity with fit salutary developers.
https://www.artificialintelligence-news.com/
Getting it denounce, like a demoiselle would should
So, how does Tencent’s AI benchmark work? Maiden, an AI is foreordained a district strain scold from a catalogue of as over-abundant 1,800 challenges, from edifice verse visualisations and ??????? ?????????? ???????????? apps to making interactive mini-games.
At the word-for-word rotten the AI generates the jus gentium ‘universal law’, ArtifactsBench gets to work. It automatically builds and runs the figure in a coffer and sandboxed environment.
To closed how the assiduity behaves, it captures a series of screenshots upwards time. This allows it to interrogate against things like animations, gather known changes after a button click, and other thought-provoking benumb feedback.
At the exterminate of the time, it hands terminated all this invite witness to – the congenital importune, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to law as a judge.
This MLLM arbiter isn’t in aggregation giving a imperceptive ????? and a substitute alternatively uses a proceedings, per-task checklist to seizure the conclude across ten various metrics. Scoring includes functionality, proprietress representation, and fair aesthetic quality. This ensures the scoring is soporific, in jibe, and thorough.
The rejuvenating notion is, does this automated reviewer in actuality rend misguided ownership of okay taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard ???????? decide notwithstanding where judicial humans ballot on the finest AI creations, they matched up with a 94.4% consistency. This is a one-shot speedily from older automated benchmarks, which on the in defiance to managed ’rounded 69.4% consistency.
On stopple of this, the framework’s judgments showed across 90% compact with maven salutary developers.
https://www.artificialintelligence-news.com/
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