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docs/en/docs/advanced/templates.md
* Use the `templates` you created to render and return a `TemplateResponse`, pass the name of the template, the request object, and a "context" dictionary with key-value pairs to be used inside of the Jinja2 template. ```Python hl_lines="4 11 15-18" {!../../docs_src/templates/tutorial001.py!} ``` /// note Before FastAPI 0.108.0, Starlette 0.29.0, the `name` was the first parameter.
Registered: Sun Oct 27 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 3.3K bytes - Viewed (0) -
docs/zh/docs/advanced/templates.md
</div> ## 使用 `Jinja2Templates` * 导入 `Jinja2Templates` * 创建可复用的 `templates` 对象 * 在返回模板的*路径操作*中声明 `Request` 参数 * 使用 `templates` 渲染并返回 `TemplateResponse`, 传递模板的名称、request对象以及一个包含多个键值对(用于Jinja2模板)的"context"字典, ```Python hl_lines="4 11 15-16" {!../../docs_src/templates/tutorial001.py!} ``` /// note | "笔记" 在FastAPI 0.108.0,Starlette 0.29.0之前,`name`是第一个参数。 并且,在此之前,`request`对象是作为context的一部分以键值对的形式传递的。 ///
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docs/zh/docs/advanced/sub-applications.md
首先,创建主(顶层)**FastAPI** 应用及其*路径操作*: ```Python hl_lines="3 6-8" {!../../docs_src/sub_applications/tutorial001.py!} ``` ### 子应用 接下来,创建子应用及其*路径操作*。 子应用只是另一个标准 FastAPI 应用,但这个应用是被**挂载**的应用: ```Python hl_lines="11 14-16" {!../../docs_src/sub_applications/tutorial001.py!} ``` ### 挂载子应用 在顶层应用 `app` 中,挂载子应用 `subapi`。 本例的子应用挂载在 `/subapi` 路径下: ```Python hl_lines="11 19"
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docs/fr/docs/tutorial/background-tasks.md
```Python hl_lines="6-9" {!../../docs_src/background_tasks/tutorial001.py!} ``` ## Ajouter une tâche d'arrière-plan Dans votre *fonction de chemin*, passez votre fonction de tâche à l'objet de type `BackgroundTasks` (`background_tasks` ici) grâce à la méthode `.add_task()` : ```Python hl_lines="14" {!../../docs_src/background_tasks/tutorial001.py!} ```
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.github/workflows/smokeshow.yml
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docs/es/docs/how-to/graphql.md
* Con <a href="https://tartiflette.github.io/tartiflette-asgi/" class="external-link" target="_blank">Tartiflette ASGI</a> para proveer integración con ASGI * <a href="https://graphene-python.org/" class="external-link" target="_blank">Graphene</a> * Con <a href="https://github.com/ciscorn/starlette-graphene3" class="external-link" target="_blank">starlette-graphene3</a> ## GraphQL con Strawberry
Registered: Sun Oct 27 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 3.5K bytes - Viewed (0) -
docs/en/docs/how-to/graphql.md
* With <a href="https://tartiflette.github.io/tartiflette-asgi/" class="external-link" target="_blank">Tartiflette ASGI</a> to provide ASGI integration * <a href="https://graphene-python.org/" class="external-link" target="_blank">Graphene</a> * With <a href="https://github.com/ciscorn/starlette-graphene3" class="external-link" target="_blank">starlette-graphene3</a> ## GraphQL with Strawberry
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ci/official/containers/linux_arm64/devel.usertools/rename_and_verify_wheels.sh
# Check and rename wheels with auditwheel. Inserts the platform tags like # "manylinux_xyz" into the wheel filename. set -euxo pipefail for wheel in /tf/pkg/*.whl; do echo "Checking and renaming $wheel..." time python3 -m auditwheel repair --plat manylinux2014_aarch64 "$wheel" --wheel-dir /tf/pkg 2>&1 | tee check.txt # We don't need the original wheel if it was renamed
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ci/official/envs/linux_x86
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow_cpu" TFCI_DOCKER_ENABLE=1 TFCI_DOCKER_IMAGE=tensorflow/build:2.18-python${TFCI_PYTHON_VERSION} TFCI_DOCKER_PULL_ENABLE=1 TFCI_DOCKER_REBUILD_ARGS="--build-arg PYTHON_VERSION=python$TFCI_PYTHON_VERSION --target=devel tensorflow/tools/tf_sig_build_dockerfiles" TFCI_INDEX_HTML_ENABLE=1 TFCI_LIB_SUFFIX="-cpu-linux-x86_64" TFCI_OUTPUT_DIR=build_output
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docs/ko/docs/tutorial/header-params.md
## `Header` 임포트 먼저 `Header`를 임포트합니다: ```Python hl_lines="3" {!../../docs_src/header_params/tutorial001.py!} ``` ## `Header` 매개변수 선언 `Path`, `Query` 그리고 `Cookie`를 사용한 동일한 구조를 이용하여 헤더 매개변수를 선언합니다. 첫 번째 값은 기본값이며, 추가 검증이나 어노테이션 매개변수 모두 전달할 수 있습니다: ```Python hl_lines="9" {!../../docs_src/header_params/tutorial001.py!} ``` /// note | "기술 세부사항"
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