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CHANGELOG/CHANGELOG-1.18.md
- Warning about using a deprecated volume plugin is logged only once. ([#96751](https://github.com/kubernetes/kubernetes/pull/96751), [@jsafrane](https://github.com/jsafrane)) [SIG Storage] ### Other (Cleanup or Flake)
Registered: Fri Dec 26 09:05:12 UTC 2025 - Last Modified: Wed Jun 16 17:18:28 UTC 2021 - 373.2K bytes - Viewed (0) -
docs/ja/docs/async.md
> 現代版のPythonは「**非同期コード**」を、「**コルーチン**」と称されるものを利用してサポートしています。これは **`async` と `await`** 構文を用います。 今では、この意味がより理解できるはずです。✨ (Starletteを介して) FastAPIに力を与えて、印象的なパフォーマンスを実現しているものはこれがすべてです。 ## 非常に発展的な技術的詳細 /// warning | 注意 恐らくスキップしても良いでしょう。 この部分は**FastAPI**の仕組みに関する非常に技術的な詳細です。 かなりの技術知識 (コルーチン、スレッド、ブロッキングなど) があり、FastAPIが `async def` と通常の `def` をどのように処理するか知りたい場合は、先に進んでください。 /// ### Path operation 関数
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sun Aug 31 09:56:21 UTC 2025 - 27.7K bytes - Viewed (0) -
internal/s3select/simdj/testdata/parking-citations-10.json.zst
parking-citations-10.json.zst {"Ticket":1103341116,"IssueData":"2015-12-21T00:00:00","IssueTime":"1251","RPState":"CA","PlateExpiry":"200304","Make":"HOND","BodyStyle":"PA","Color":"GY","Location":"13147 WELBY WAY","Route":"01521","Agency":1,"ViolationCode":"4000A1","ViolationDescr":"NO EVIDENCE OF REG","Fine":50,"Latitude":99999,"Longitude":99999} {"Ticket":1103700150,"IssueData":"2015-12-21T00:00:00","IssueTime":"1435","RPState":"CA","PlateExpiry":"201512","Make":"GMC","BodyStyle":"VN","Col...Registered: Sun Dec 28 19:28:13 UTC 2025 - Last Modified: Tue Jun 01 21:59:40 UTC 2021 - 693 bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.24.md
- Kubeadm: better surface errors during `kubeadm upgrade` when waiting for the kubelet to restart static pods on control plane nodes ([#108315](https://github.com/kubernetes/kubernetes/pull/108315), [@Monokaix](https://github.com/Monokaix))
Registered: Fri Dec 26 09:05:12 UTC 2025 - Last Modified: Thu Aug 24 00:02:43 UTC 2023 - 473.4K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.15.md
#### Continuous Improvement - Project sustainability is not just about features. Many SIGs have been working on improving test coverage, ensuring the basics stay reliable, and stability of the core feature set and working on maturing existing features and cleaning up the backlog. #### Extensibility
Registered: Fri Dec 26 09:05:12 UTC 2025 - Last Modified: Thu May 05 13:44:43 UTC 2022 - 278.9K bytes - Viewed (0) -
tensorflow/c/c_api.cc
const string& mutation_warning = session->graph->sessions[session]; if (!mutation_warning.empty()) { // TODO(b/74949947): turn this back into an error status LOG(WARNING) << mutation_warning; session->graph->sessions[session].clear(); } const auto num_nodes = graph.num_node_ids(); if (session->last_num_graph_nodes < num_nodes) {Registered: Tue Dec 30 12:39:10 UTC 2025 - Last Modified: Sat Oct 04 05:55:32 UTC 2025 - 102.4K bytes - Viewed (0) -
docs/ja/docs/deployment/docker.md
* <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>. /// warning このベースイメージや類似のイメージは**必要ない**可能性が高いので、[上記の: FastAPI用のDockerイメージをビルドする(Build a Docker Image for FastAPI)](#build-a-docker-image-for-fastapi)のようにゼロからイメージをビルドする方が良いでしょう。 ///
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Mon Aug 12 21:47:53 UTC 2024 - 44.3K bytes - Viewed (0) -
docs/en/docs/tutorial/path-params.md
{* ../../docs_src/path_params/tutorial005_py39.py hl[1,6:9] *} /// tip If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>. /// ### Declare a *path parameter* { #declare-a-path-parameter }Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 20:41:43 UTC 2025 - 9.2K bytes - Viewed (0) -
docs/es/docs/tutorial/path-params.md
/// tip | Consejo Si te estás preguntando, "AlexNet", "ResNet" y "LeNet" son solo nombres de <abbr title="Técnicamente, arquitecturas de modelos de Deep Learning">modelos</abbr> de Machine Learning. /// ### Declarar un *path parameter* { #declare-a-path-parameter } Luego crea un *path parameter* con una anotación de tipo usando la clase enum que creaste (`ModelName`):
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 20:41:43 UTC 2025 - 9.8K bytes - Viewed (0) -
docs/es/llm-prompt.md
* 100% test coverage: cobertura de tests del 100% * back and forth: de un lado a otro * I/O (as in "input and output"): I/O (do not translate to "E/S") * Machine Learning: Machine Learning (do not translate to "Aprendizaje Automático") * Deep Learning: Deep Learning (do not translate to "Aprendizaje Profundo") * callback hell: callback hell (do not translate to "infierno de callbacks") * tip: Consejo (do not translate to "tip")
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Tue Dec 16 16:33:45 UTC 2025 - 5.4K bytes - Viewed (0)