### Source Code

filename | sha512 hash
-------- | -----------
[kubernetes.tar.gz](https://dl.k8s.io/v1.36.0-beta.0/kubernetes.tar.gz) | 7e4c5eb75fdcbddb19c94139ead1b7d16bbc9332f319006312441db15cf2d5562625a42cc1a14aad93338a1e48e6c00e2abfe23071626d2a80959ce71c82fc07

        where:
        buildTaskName       | expectedOutputArchivePath
        "buildDarwinTar"    | "darwin-tar/build/distributions/elasticsearch.tar.gz"
        "buildOssDarwinTar" | "oss-darwin-tar/build/distributions/elasticsearch-oss.tar.gz"
    }

    def "applies defaults to zip tasks"() {
        given:
        buildFile << """
        tasks.register('${buildTaskName}', Zip) {

	</Properties>

	<Appenders>
		<RollingFile name="AppRollingFile" fileName="${log.file.basedir}/${domain.name}.log"
			filePattern="${log.file.basedir}/${domain.name}${backup.date.suffix}-%i.log.gz">
			<PatternLayout><Pattern>${log.pattern}</Pattern></PatternLayout><!-- <EcsLayout serviceName="fess" eventDataset="crawler" /> -->
			<Policies>
				<TimeBasedTriggeringPolicy />
				<SizeBasedTriggeringPolicy size="100 MB" />

cd work
mkdir zoneinfo
curl -sS -L -O https://www.iana.org/time-zones/repository/releases/tzcode$CODE.tar.gz
curl -sS -L -O https://www.iana.org/time-zones/repository/releases/tzdata$DATA.tar.gz
tar xzf tzcode$CODE.tar.gz
tar xzf tzdata$DATA.tar.gz

# The PACKRATLIST and PACKRATDATA options are copied from Ubuntu:
# https://git.launchpad.net/ubuntu/+source/tzdata/tree/debian/rules?h=debian/sid
#

    strip_prefix = "rules_shell-0.4.1",
    urls = tf_mirror_urls(
        "https://github.com/bazelbuild/rules_shell/releases/download/v0.4.1/rules_shell-v0.4.1.tar.gz",
    ),
)

# Initialize toolchains for ML projects.
#
# A hermetic build system is designed to produce completely reproducible builds for C++.
# Details: https://github.com/google-ml-infra/rules_ml_toolchain

        run: pip install build
      - name: Build source distribution
        run: python -m build --sdist
      - name: Decompress source distribution
        run: |
          cd dist
          tar xvf fastapi*.tar.gz
      - name: Install test dependencies
        run: |
          cd dist/fastapi*/
          pip install --group tests --editable .[all]
      - name: Run source distribution tests
        run: |

      rm -rf "libc6_2.17-0ubuntu5.1_amd64.deb" "libc6_2.17-0ubuntu5.1_amd64"
  # Download binary glibc 2.17 development library release.
  wget "http://old-releases.ubuntu.com/ubuntu/pool/main/e/eglibc/libc6-dev_2.17-0ubuntu5.1_amd64.deb" && \
      unar "libc6-dev_2.17-0ubuntu5.1_amd64.deb" && \
      tar -C "${TARGET}" -xvzf "libc6-dev_2.17-0ubuntu5.1_amd64/data.tar.gz" && \

if [[ `uname -s | grep -P '^MSYS_NT'` ]]; then
  PROFILE_JSON_PATH=$(replace_drive_letter_with_prefix "$TFCI_OUTPUT_WIN_DOCKER_DIR")
  PROFILE_JSON_PATH="$PROFILE_JSON_PATH/profile.json.gz"
else
  PROFILE_JSON_PATH="$TFCI_OUTPUT_DIR/profile.json.gz"
fi

# TODO(b/361369076) Remove the following block after TF NumPy 1 is dropped
# Move hermetic requirement lock files for NumPy 1 to the root
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then

RUN wget https://github.com/NixOS/patchelf/releases/download/0.18.0/patchelf-0.18.0-x86_64.tar.gz && tar -zxvf patchelf-0.18.0-x86_64.tar.gz -C /usr && rm -rf patchelf-0.18.0-x86_64.tar.gz

# Don't use the bazel cache when a new docker image is created.
RUN echo build --action_env=DOCKER_CACHEBUSTER=$(date +%s%N)$RANDOM >> /etc/bazel.bazelrc

**Libtensorflow Windows GPU** | Status Temporarily Unavailable                                                                                                                                                   | [Nightly Binary](https://storage.googleapis.com/libtensorflow-nightly/prod/tensorflow/release/windows/latest/gpu/windows_gpu_libtensorflow_binaries.tar.gz) [Official GCS](https://storage.g...