EOF
fi

/setup.packages.sh pythons.txt

# Re-link pyconfig.h from x86_64-linux-gnu into the devtoolset directory
# for any Python version present
pushd /usr/include/x86_64-linux-gnu
for f in $(ls | grep python); do
  # set up symlink for devtoolset-9
  rm -f /dt9/usr/include/x86_64-linux-gnu/$f
  ln -s /usr/include/x86_64-linux-gnu/$f /dt9/usr/include/x86_64-linux-gnu/$f
done
popd

# Python 3.10 include headers fix:

                "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.52 Safari/537.36");
        assertEquals(UserAgentType.CHROME, userAgentHelper.getUserAgentType());
    }

    public void test_getUserAgentType_FireFox() {
        getMockRequest().addHeader("user-agent", "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:42.0) Gecko/20100101 Firefox/42.0");

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

# Fetch the NVIDIA key.
apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub;

# Set up sources for NVIDIA CUDNN.
cat >/etc/apt/sources.list.d/nvidia.list <<SOURCES
# NVIDIA
deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/ /

          arch: ${{ matrix.api-level == '34' && 'x86_64' || 'x86' }}
          script: ./gradlew :android-test:connectedCheck
        env:
          API_LEVEL: ${{ matrix.api-level }}

      - name: Run Release Tests
        uses: reactivecircus/android-emulator-runner@v2
        with:
          api-level: ${{ matrix.api-level }}
          arch: ${{ matrix.api-level == '34' && 'x86_64' || 'x86' }}

			return 1
		fi
	done

	return 0
}

assert_is_supported_arch() {
	case "${ARCH}" in
	x86_64 | amd64 | aarch64 | ppc64le | arm* | s390x | loong64 | loongarch64 | riscv64)
		return
		;;
	*)
		echo "Arch '${ARCH}' is not supported. Supported Arch: [x86_64, amd64, aarch64, ppc64le, arm*, s390x, loong64, loongarch64, riscv64]"
		exit 1
		;;
	esac
}

assert_is_supported_os() {

TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_BUILD_PIP_PACKAGE_ADDITIONAL_WHEEL_NAMES="tensorflow_cpu"
TFCI_OUTPUT_DIR=build_output
TFCI_FIND_BIN=C:/tools/msys64/usr/bin/find.exe
TFCI_LIB_SUFFIX="-cpu-windows-x86_64"
# auditwheel is not supported for Windows
TFCI_WHL_AUDIT_ENABLE=0
TFCI_WHL_AUDIT_PLAT=0
# Tests are extremely slow at the moment
TFCI_WHL_BAZEL_TEST_ENABLE=0
TFCI_WHL_SIZE_LIMIT=450M
TFCI_WHL_SIZE_LIMIT_ENABLE=1

  implementation(libs.bouncycastle.bctls)
  api(libs.conscrypt.openjdk)
  api(libs.openjsse)

  api(rootProject.libs.junit.jupiter.engine)

  api(variantOf(libs.amazonCorretto) {
    classifier("linux-x86_64")
  })

  api(libs.hamcrestLibrary)
  api(libs.junit.jupiter.api)
  api(libs.junit.jupiter.params)

  api(libs.junit.pioneer)

  compileOnly(libs.robolectric.android)

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ARGS="--gpus all"
TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
# TODO: Set back to 610M once the wheel size is fixed.

    [Environment]::SetEnvironmentVariable('PATH', $env:PATH, 'Machine');

# Install MSYS2.
RUN (New-Object Net.WebClient).DownloadFile( \
         'https://repo.msys2.org/distrib/x86_64/msys2-base-x86_64-20240727.tar.xz', \
         'msys2.tar.xz'); \
    Start-Process -FilePath \"C:\Program Files\7-Zip\7z.exe\" -ArgumentList 'x msys2.tar.xz -oC:\TEMP\msys2.tar' -Wait; \