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docs/en/docs/advanced/settings.md
### Install `pydantic-settings` First, make sure you create your [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then install the `pydantic-settings` package: <div class="termy"> ```console $ pip install pydantic-settings ---> 100% ``` </div> It also comes included when you install the `all` extras with: <div class="termy">
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docs/em/docs/tutorial/index.md
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docs/pl/docs/tutorial/index.md
<div class="termy"> ```console $ pip install "fastapi[all]" ---> 100% ``` </div> ...wliczając w to `uvicorn`, który będzie służył jako serwer wykonujacy Twój kod. /// note Możesz również wykonać instalację "krok po kroku". Prawdopodobnie zechcesz to zrobić, kiedy będziesz wdrażać swoją aplikację w środowisku produkcyjnym: ``` pip install fastapi ```
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docs/en/docs/contributing.md
### Install requirements using pip After activating the environment, install the required packages: <div class="termy"> ```console $ pip install -r requirements.txt ---> 100% ``` </div> It will install all the dependencies and your local FastAPI in your local environment. ### Using your local FastAPI
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compat/maven-compat/src/main/java/org/apache/maven/artifact/repository/metadata/RepositoryMetadataManager.java
throws RepositoryMetadataDeploymentException; /** * Install the metadata in the local repository. * * @param metadata the metadata * @param localRepository the local repository * @throws RepositoryMetadataInstallationException in case of metadata installation issue */ void install(ArtifactMetadata metadata, ArtifactRepository localRepository)
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ci/official/containers/linux_arm64/setup.sources.sh
# # setup.python.sh: Install a specific Python version and packages for it. # Usage: setup.python.sh <pyversion> <requirements.txt> # Sets up custom apt sources for our TF images. # Prevent apt install tzinfo from asking our location (assumes UTC) export DEBIAN_FRONTEND=noninteractive # Set up shared custom sources apt-get update apt-get install -y gnupg ca-certificates
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.github/workflows/label-approved.yml
with: version: "0.4.15" enable-cache: true cache-dependency-glob: | requirements**.txt pyproject.toml - name: Install GitHub Actions dependencies run: uv pip install -r requirements-github-actions.txt - name: Label Approved run: python ./scripts/label_approved.py env: TOKEN: ${{ secrets.GITHUB_TOKEN }} CONFIG: > {
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docs/en/docs/tutorial/request-form-models.md
/// info To use forms, first install <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>. Make sure you create a [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then install it, for example: ```console $ pip install python-multipart ``` /// /// note
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CONTRIBUTING.md
Changes to TensorFlow C++ code should conform to [Google C++ Style Guide](https://google.github.io/styleguide/cppguide.html). Use `clang-tidy` to check your C/C++ changes. To install `clang-tidy` on ubuntu:16.04, do: ```bash apt-get install -y clang-tidy ``` You can check a C/C++ file by doing: ```bash clang-format <my_cc_file> --style=google > /tmp/my_cc_file.cc diff <my_cc_file> /tmp/my_cc_file.cc
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compat/maven-compat/src/main/java/org/apache/maven/artifact/deployer/ArtifactDeployer.java
* @param deploymentRepository the repository to deploy to * @param localRepository the local repository to install into * @throws ArtifactDeploymentException if an error occurred deploying the artifact * @deprecated to be removed before 2.0 after the install/deploy plugins use the alternate * method */ @Deprecated void deploy( String basedir,
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