fi

# Install pip

wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://bootstrap.pypa.io/get-pip.py
/usr/bin/$VERSION get-pip.py
/usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip

# Disable the cache dir to save image space, and install packages

fi

# Install pip
wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://bootstrap.pypa.io/get-pip.py
/usr/bin/$VERSION get-pip.py
/usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip
/usr/bin/$VERSION -m pip install -U setuptools

# Disable the cache dir to save image space, and install packages

# "pip" tests.

python -m venv /$1
mkdir -p $1
rm -f ./$1/tensorflow
ln -s $(ls /$1/lib) /$1/lib/python3
ln -s ../tensorflow $1/tensorflow
# extglob is necessary for @(a|b) pattern matching
# see "extglob" in the bash manual page ($ man bash)
bash -O extglob -c "/$1/bin/pip install $2"

            pyproject.toml
      - name: Install docs extras
        run: uv pip install -r requirements-docs.txt
      # Install MkDocs Material Insiders here just to put it in the cache for the rest of the steps
      - name: Install Material for MkDocs Insiders
        if: ( github.event_name != 'pull_request' || github.secret_source == 'Actions' )
        run: uv pip install -r requirements-docs-insiders.txt
        env:

python="$venv/bin/python3"
# TODO(b/366266944) Remove the check after tf docker image upgrade for NumPy 2
# and numpy 1 support is dropped b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  "$python" -m pip install numpy==1.26.0
fi
"$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS
if [[ "$TFCI_WHL_IMPORT_TEST_ENABLE" == "1" ]]; then

dependencies list and then execute the following command (which will call
[pip-compile](https://pypi.org/project/pip-tools/) under the hood):

```
bazel run //ci/official/requirements_updater:requirements.update --repo_env=HERMETIC_PYTHON_VERSION=3.12
```

where `3.12` is the `Python` version you wish to update.

Note, since it is still `pip` and `pip-compile` tools used under the hood, so

        with:
          python-version: "3.10"
          # Issue ref: https://github.com/actions/setup-python/issues/436
          # cache: "pip"
          # cache-dependency-path: pyproject.toml
      - name: Install build dependencies
        run: pip install build
      - name: Build distribution
        env:
          TIANGOLO_BUILD_PACKAGE: ${{ matrix.package }}
        run: python -m build
      - name: Publish

test:nonpip --config=nonpip_filters -- //tensorflow/... -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/...

# "pip tests" run a similar suite of tests the "nonpip" tests, but do something
# odd to attempt to validate the quality of the pip package. The wheel is
# installed into a virtual environment, and then that venv is used to run all

            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-tests.txt
      - name: Install Pydantic v1
        if: matrix.pydantic-version == 'pydantic-v1'
        run: uv pip install "pydantic>=1.10.0,<2.0.0"
      - name: Install Pydantic v2
        if: matrix.pydantic-version == 'pydantic-v2'
        run: uv pip install --upgrade "pydantic>=2.0.2,<3.0.0"
      - run: mkdir coverage

<div class="termy">

```console
$ pip install "fastapi[all]"

---> 100%
```

</div>

...який також включає `uvicorn`, який ви можете використовувати як сервер, який запускає ваш код.

/// note

Ви також можете встановити його частина за частиною.

Це те, що ви, ймовірно, зробили б, коли захочете розгорнути свою програму у виробничому середовищі:

```
pip install fastapi
```