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docs/fr/docs/tutorial/query-params-str-validations.md
## Validation additionnelle Nous allons imposer que bien que `q` soit un paramètre optionnel, dès qu'il est fourni, **sa longueur n'excède pas 50 caractères**. ## Importer `Query` Pour cela, importez d'abord `Query` depuis `fastapi` : ```Python hl_lines="3" {!../../../docs_src/query_params_str_validations/tutorial002.py!} ``` ## Utiliser `Query` comme valeur par défaut
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docs/en/docs/contributing.md
* When translating a document, do not "pre-translate" `#hash-parts` that link to headings in untranslated documents. ## Tests There is a script that you can run locally to test all the code and generate coverage reports in HTML: <div class="termy"> ```console $ bash scripts/test-cov-html.sh ``` </div>
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docs/en/docs/img/sponsors/porter-banner.png
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docs/de/docs/contributing.md
## Tests Es gibt ein Skript, das Sie lokal ausführen können, um den gesamten Code zu testen und Code Coverage Reporte in HTML zu generieren: <div class="termy"> ```console $ bash scripts/test-cov-html.sh ``` </div>
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docs/zh/docs/deployment/docker.md
你还可能有**其他原因**,这将使你更容易拥有一个带有**多个进程**的**单个容器**,而不是拥有每个容器中都有**单个进程**的**多个容器**。 例如(取决于你的设置)你可以在同一个容器中拥有一些工具,例如 Prometheus exporter,该工具应该有权访问**每个请求**。 在这种情况下,如果你有**多个容器**,默认情况下,当 Prometheus 来**读取metrics**时,它每次都会获取**单个容器**的metrics(对于处理该特定请求的容器),而不是获取所有复制容器的**累积metrics**。 在这种情况, 这种做法会更加简单:让**一个容器**具有**多个进程**,并在同一个容器上使用本地工具(例如 Prometheus exporter)收集所有内部进程的 Prometheus 指标并公开单个容器上的这些指标。 ---
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README.md
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docs/en/data/github_sponsors.yml
sponsors: - - login: bump-sh avatarUrl: https://avatars.githubusercontent.com/u/33217836?v=4 url: https://github.com/bump-sh - login: porter-dev avatarUrl: https://avatars.githubusercontent.com/u/62078005?v=4 url: https://github.com/porter-dev - login: andrew-propelauth avatarUrl: https://avatars.githubusercontent.com/u/89474256?u=1188c27cb744bbec36447a2cfd4453126b2ddb5c&v=4 url: https://github.com/andrew-propelauth
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docs/de/docs/deployment/docker.md
Beispielsweise könnten Sie (abhängig von Ihrem Setup) ein Tool wie einen Prometheus-Exporter im selben Container haben, welcher Zugriff auf **jeden der eingehenden Requests** haben sollte.
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docs/en/docs/deployment/docker.md
For example (depending on your setup) you could have some tool like a Prometheus exporter in the same container that should have access to **each of the requests** that come.
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