- Sort Score
- Result 10 results
- Languages All
Results 111 - 120 of 177 for processing (0.09 sec)
-
docs/em/docs/async.md
👉 😐, 🔠 1️⃣ 🧹 (🔌 👆) 🔜 🕹, 🤸 👫 🍕 👨🏭. & 🏆 🛠️ 🕰 ✊ ☑ 👷 (↩️ ⌛), & 👷 💻 ⌛ <abbr title="Central Processing Unit">💽</abbr>, 👫 🤙 👫 ⚠ "💽 🎁". --- ⚠ 🖼 💽 🔗 🛠️ 👜 👈 🚚 🏗 🧪 🏭. 🖼: * **🎧** ⚖️ **🖼 🏭**. * **💻 👓**: 🖼 ✍ 💯 🔅, 🔠 🔅 ✔️ 3️⃣ 💲 / 🎨, 🏭 👈 🛎 🚚 💻 🕳 🔛 📚 🔅, 🌐 🎏 🕰.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Tue Aug 06 04:48:30 UTC 2024 - 18.7K bytes - Viewed (0) -
src/archive/tar/reader.go
} return paxHdrs, nil } // readHeader reads the next block header and assumes that the underlying reader // is already aligned to a block boundary. It returns the raw block of the // header in case further processing is required. // // The err will be set to io.EOF only when one of the following occurs: // - Exactly 0 bytes are read and EOF is hit. // - Exactly 1 block of zeros is read and EOF is hit.
Registered: Tue Nov 05 11:13:11 UTC 2024 - Last Modified: Fri Mar 08 01:59:14 UTC 2024 - 26.8K bytes - Viewed (0) -
docs/zh/docs/async.md
无论是否轮流执行(并发),都需要相同的时间来完成,而你也会完成相同的工作量。 但在这种情况下,如果你能带上 8 名前收银员/厨师,现在是清洁工一起清扫,他们中的每一个人(加上你)都能占据房子的一个区域来清扫,你就可以在额外的帮助下并行的更快地完成所有工作。 在这个场景中,每个清洁工(包括您)都将是一个处理器,完成这个工作的一部分。 由于大多数执行时间是由实际工作(而不是等待)占用的,并且计算机中的工作是由 <abbr title="Central Processing Unit">CPU</abbr> 完成的,所以他们称这些问题为"CPU 密集型"。 --- CPU 密集型操作的常见示例是需要复杂的数学处理。 例如: * **音频**或**图像**处理; * **计算机视觉**: 一幅图像由数百万像素组成,每个像素有3种颜色值,处理通常需要同时对这些像素进行计算;
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Tue Aug 06 04:48:30 UTC 2024 - 21.1K bytes - Viewed (0) -
docs/de/docs/async.md
Und da die meiste Ausführungszeit durch tatsächliche Arbeit (anstatt durch Warten) in Anspruch genommen wird und die Arbeit in einem Computer von einer <abbr title="Central Processing Unit – Zentrale Recheneinheit">CPU</abbr> erledigt wird, werden diese Probleme als „CPU-lastig“ („CPU bound“) bezeichnet. ---
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Tue Aug 06 04:48:30 UTC 2024 - 26.6K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.32.md
- Improve PVC Protection Controller's scalability by batch-processing PVCs by namespace with lazy live pod listing. ([#125372](https://github.com/kubernetes/kubernetes/pull/125372), [@hungnguyen243](https://github.com/hungnguyen243)) [SIG Apps, Node, Storage and Testing]
Registered: Fri Nov 01 09:05:11 UTC 2024 - Last Modified: Tue Oct 29 20:17:52 UTC 2024 - 121.6K bytes - Viewed (0) -
RELEASE.md
accessible from workers. If the worker fails to read from the `work_dir`, it falls back to using RPC for dataset graph transfer. * Adds support for a new "distributed_epoch" processing mode. This processing mode distributes a dataset across all tf.data workers, instead of having each worker process the full dataset. See
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Tue Oct 22 14:33:53 UTC 2024 - 735.3K bytes - Viewed (0) -
cmd/bucket-handlers.go
writeErrorResponse(ctx, w, apiErr, r.URL) return } reader = &b actualSize = n } // we have found the File part of the request we are done processing multipart-form break } if keyName, ok := formValues["Key"]; !ok { apiErr := errorCodes.ToAPIErr(ErrMalformedPOSTRequest)
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Thu Sep 12 12:24:04 UTC 2024 - 63.4K bytes - Viewed (0) -
docs/ko/docs/async.md
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Tue Aug 06 04:48:30 UTC 2024 - 26.7K bytes - Viewed (0) -
compat/maven-embedder/src/main/java/org/apache/maven/cli/MavenCli.java
getCanonicalPath(fileSystem.getPath(mavenHome)).toString()); } } void cli(CliRequest cliRequest) throws Exception { // // Parsing errors can happen during the processing of the arguments and we prefer not having to check if // the logger is null and construct this so we can use an SLF4J logger everywhere. // slf4jLogger = new Slf4jStdoutLogger();
Registered: Sun Nov 03 03:35:11 UTC 2024 - Last Modified: Fri Oct 25 12:31:46 UTC 2024 - 76.8K bytes - Viewed (0) -
docs/ja/docs/async.md
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Tue Aug 06 04:48:30 UTC 2024 - 27.8K bytes - Viewed (0)