TL;DR ç°¡æ½ã§ç´æçã«æ±ããã宣è¨çãªRuståãã®ã³ãã³ãã©ã¤ã³å¼æ°ãã¼ã¶ã¼ãä½ãã¾ããã https://crates.io/crates/argopt ã¢ããã¼ã·ã§ã³ Rustã«structoptã¨ããã©ã¤ãã©ãªãããã¾ããããã¯ã³ãã³ãã©ã¤ã³å¼æ°ããã¼ãºããã©ã¤ãã©ãªãªãã§ãããåã¯ãã®ã©ã¤ãã©ãªã大好ããªãã§ããRustã®ã©ã¤ãã©ãªã®ä¸ã§ä¸äºãäºãã»ã©å¥½ãã§ãããªããªãã³ãã³ãã©ã¤ã³ãã¼ã«ãRustãæ¸ãçç±ã®å¤§é¨åããã®ã©ã¤ãã©ãªã®åå¨ã¨ãã£ã¦ãéè¨ã§ã¯ãªãããããã¾ããï¼éè¨ã§ããã©ï¼ã ãããstructoptã使ãç¶ãã¦ããã¨ãã©ãã«ããã£ã¨ä¾¿å©ã«ã§ããããããªãã®ãã¨æãé¨åãåºã¦ãã¾ããstructoptã§ã¯ååã®éãã³ãã³ãã©ã¤ã³å¼æ°ãstructã§å®ç¾©ãã¦ãããã«#[derive(StructOpt)] ã¨StructOptãderiveãããã¨ã§ãã¼ã¶ã¼ã®ã³
A page about call/cc [ENS] [ENS students] [David Madore] [Mathematics] [Computer science] [Programs] [Linux] [Literature] [What's new?] [What's cool?] [Site map] Table of contents What is call/cc? What is this page? A first introduction Who invented call/cc? What does call/cc stand for? Which programming languages have a call/cc function? Outgoing-only continuations: exceptions Exceptions in C: se
NAME Test::Tutorial - A tutorial about writing really basic tests DESCRIPTION AHHHHHHH!!!! NOT TESTING! Anything but testing! Beat me, whip me, send me to Detroit, but don't make me write tests! *sob* Besides, I don't know how to write the damned things. Is this you? Is writing tests right up there with writing documentation and having your fingernails pulled out? Did you open up a test and read #
åå¶ perltoot - ãã ã«ããPerlãªãã¸ã§ã¯ãæåãã¥ã¼ããªã¢ã« æ¦è¦Â¶ Object-oriented programming is a big seller these days. Some managers would rather have objects than sliced bread. Why is that? What's so special about an object? Just what is an object anyway? ãªãã¸ã§ã¯ãæåããã°ã©ãã³ã°ã¯ãæ¨ä»ã®ãããã°ã»ã©ã¼ã§ãã ããã¼ã¸ã£ã¼ã«ã¯ãèåããã³(訳註ï¼è¯ãçºæã®ãã¨)ãããããããªãã¸ã§ã¯ããæã¡ããã人ããã¾ãã ã©ããã¦ã§ãããã? ãªãã¸ã§ã¯ãã®ãä½ããããªã«ç¹å¥ãªãã§ãããã? ããããããªãã¸ã§ã¯ãã¨ã¯ä¸ä½ãªãã§ãããã? An object is nothing
The Google File System Sanjay Ghemawat, Howard Gobioff, and Shun-Tak Leung Googleâ ABSTRACT We have designed and implemented the Google File System, a scalable distributed ï¬le system for large distributed data-intensive applications. It provides fault tolerance while running on inexpensive commodity hardware, and it delivers high aggregate performance to a large number of clients. While sharing
Interpreting the Data: Parallel Analysis with Sawzall Rob Pike, Sean Dorward, Robert Griesemer, Sean Quinlan Google, Inc. Abstract Very large data sets often have a ï¬at but regular structure and span multiple disks and machines. Examples include telephone call records, network logs, and web document reposi- tories. These large data sets are not amenable to study using traditional database techniq
MapReduce: Simpliï¬ed Data Processing on Large Clusters Jeffrey Dean and Sanjay Ghemawat jeff@google.com, sanjay@google.com Google, Inc. Abstract MapReduce is a programming model and an associ- ated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that
çæAIã«ããAIã®ROIã¯13%ãã31%ã«æ¥ä¸æããã¸ãã¹ãé£èºãããAIã¨ã¯ AIç¹éãã¼ã¸ãè¦ã ãã¥ã¼ã¹ãªãªã¼ã¹ ææ°æ å ± ServiceNowãã¢ããªã±ã¼ã·ã§ã³åºç¤ã¨ãã¦æ´»ç¨ãããã¼ã³ã¼ãéçºã®æè¡è ãè²æããå°åãã¸ãã¹ã®æ´»æ§åãæ¨é²ãããIBMå°åServiceNow人財è²æããã°ã©ã ããæä¾éå§ æ¥æ¬IBM ã¨IIJãåæ¥ããå°åéèæ©é¢åãã«ãåæ£åºç¤å ±åãã©ãããã©ã¼ã ããæä¾éå§ ä¸è±UFJéè¡ãIIJã¨ã®åæ¥ã«ãããæ¢åã®æ çµã¿ãè¶ ããå°åéèæ©é¢åãã«æ°ãã«ãéèãã¤ããªããã¯ã©ã¦ãã»ãã©ãããã©ã¼ã ãã®æä¾ãéå§ IBMã¨NASAãæ°è±¡ã»æ°åã¸ã®å¿ç¨ã«é©ãããªã¼ãã³ã½ã¼ã¹ã®AIã¢ãã«ãHugging Faceã§å ¬é ã¸ã§ã¤ã¢ã¤å·å®³ç«ç½ä¿éºãAIç»å解æã«ããã¹ã¼ãã±ã¼ã¹ç ´ææ¤ç¥ã¨èªåééãµã¼ãã¹ãæ´»ç¨ãããã¹ã¼ãã±ã¼ã¹ç ´æä¿éºéèªåæ¯æããµã¼ãã¹ããæä¾éå§
Please Sign In No account? Create new user.
ã©ã³ãã³ã°
ã©ã³ãã³ã°
ã©ã³ãã³ã°
ãªãªã¼ã¹ãé害æ å ±ãªã©ã®ãµã¼ãã¹ã®ãç¥ãã
ææ°ã®äººæ°ã¨ã³ããªã¼ã®é ä¿¡
å¦çãå®è¡ä¸ã§ã
j次ã®ããã¯ãã¼ã¯
kåã®ããã¯ãã¼ã¯
lãã¨ã§èªã
eã³ã¡ã³ãä¸è¦§ãéã
oãã¼ã¸ãéã
{{#tags}}- {{label}}
{{/tags}}