\
	Write-Host 'Removing ...'; \
	Remove-Item C:\tmp\pyinstall.exe -Force; \
	\
	Write-Host 'Complete.';

# Install pip packages.
RUN python -m pip install --ignore-installed --force-reinstall --upgrade \
    setuptools packaging

# Install JDK 21.
RUN \
  Add-Type -AssemblyName \"System.IO.Compression.FileSystem\"; \
  $zulu_pkg = \"zulu21.34.19-ca-jdk21.0.3-win_x64.zip\"; \

# This aims to maintain TF compatibility with NumPy 1.x until 2025 b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  # Uninstall tf nightly wheel built with numpy1.
  "$python" -m pip uninstall -y tf_nightly_numpy1
  # Install tf nightly cpu wheel built with numpy2.x from PyPI in numpy1.x env.
  "$python" -m pip install tf-nightly-cpu
  if [[ "$TFCI_WHL_IMPORT_TEST_ENABLE" == "1" ]]; then

################################################################################

# Install devtoolset build dependencies
COPY setup.sources.sh /setup.sources.sh
COPY setup.packages.sh /setup.packages.sh
COPY builder.packages.txt /builder.packages.txt

RUN /setup.sources.sh && /setup.packages.sh /builder.packages.txt

# Install devtoolset-9 in /dt9 with glibc 2.17 and libstdc++ 4.8, for building
# manylinux2014-compatible packages.

      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

If you don't want to have those optional dependencies, you can instead install `pip install fastapi`.

### Installing xl-meta

To install, [Go](https://golang.org/dl/) must be installed. Once installed, execute this to install the binary:

```bash
go install github.com/minio/minio/docs/debugging/xl-meta@latest
```

### Using xl-meta

    /**
     * Install an artifact from a particular file.
     *
     * @param source the file to install
     * @param artifact the artifact definition
     * @param localRepository the local repository to install into
     * @throws ArtifactInstallationException if an error occurred installing the artifact
     */
    void install(File source, Artifact artifact, ArtifactRepository localRepository)

# "TFCI_MACOS_PYENV_INSTALL_ENABLE" controls whether to use Pyenv to install
# the Python version set in "TFCI_PYTHON_VERSION" and use it as default.
# We enable this in the nightly and release builds because before uploading the
# wheels, we install them in a virtual environment and run some smoke tests on
# it. TFCI Mac VMs only have one Python version installed so we need to install
# the other versions manually.

            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:

	<property name="maven.release.repo.url" value="https://oss.sonatype.org/content/repositories/releases" />

	<target name="install.plugins">
		<mkdir dir="${target.dir}" />
		<delete dir="${plugins.dir}" />
		<mkdir dir="${plugins.dir}" />
		<!-- analysis-extension -->
		<antcall target="install.plugin">
			<param name="repo.url" value="${maven.release.repo.url}" />
			<param name="plugin.groupId" value="org/codelibs/opensearch" />