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:

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

          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' }}

 * limitations under the License.
 */

package common

enum class Arch(
    val suffix: String,
    val nameOnLinuxWindows: String,
    val nameOnMac: String,
) {
    AMD64("64bit", "amd64", "x86_64"),
    AARCH64("aarch64", "aarch64", "aarch64"),
    ;

    fun asName() = name.lowercase().toCapitalized()
}

enum class Os(
    val agentRequirement: String,
    val androidHome: String,

build:android_x86 --cpu=x86
build:android_x86 --fat_apk_cpu=x86
build:android_x86 --platforms=@org_tensorflow//tensorflow/tools/toolchains/android:x86
build:android_x86_64 --config=android
build:android_x86_64 --cpu=x86_64
build:android_x86_64 --fat_apk_cpu=x86_64
build:android_x86_64 --platforms=@org_tensorflow//tensorflow/tools/toolchains/android:x86_64

# Build everything statically for Android since all static libs are later

	}{
		{
			getListObjectsV2URL(s.endPoint, bucketName, "pfx/a/", "2", "", "", "/"),
			[]string{
				"<Contents><Key>pfx/a/1.txt</Key>",
			},
			"Hadoop 3.3.2, aws-sdk-java/1.12.262 Linux/5.14.0-362.24.1.el9_3.x86_64 OpenJDK_64-Bit_Server_VM/11.0.22+7 java/11.0.22 scala/2.12.15 vendor/Eclipse_Adoptium cfg/retry-mode/legacy",
		},
		{
			getListObjectsV2URL(s.endPoint, bucketName, "pfx/a/", "2", "", "", "/"),
			[]string{

        instead of 2.15, or users could receive an installation error due to
        those missing dependencies.
*   TensorFlow 2.15.0.post1 is being released for Linux x86_64 to resolve this
    issue as quickly as possible.
    *   This version removes the `tensorrt` Python package dependencies from the
        tensorflow[and-cuda] installation method to ensure `pip install