String suffix = artifactFileName.endsWith("tar.gz") ? "tar.gz" : artifactFileName.substring(artifactFileName.length() - 3);
        int x86ArchIndex = artifactFileName.indexOf("x86_64");
        int aarch64ArchIndex = artifactFileName.indexOf("aarch64");

        bwcProject.getConfigurations().create(distributionProject.name);

        def versionFromBranch = calculateBranchVersion()
        archiveVersion.set("${versionFromBranch}-SNAPSHOT")
        archiveClassifier.set("darwin-x86_64")
        archiveExtension.set('tar.gz')
    }

    tasks.register('extracted', Copy) {
        from('.')
        destinationDir = file('build/extractedDistro')
    }

			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() {

# iphonesimulator with one of them.

SDK=iphonesimulator
PLATFORM=ios-simulator

if [ "$GOARCH" == "arm64" ]; then
	CLANGARCH="arm64"
else
	CLANGARCH="x86_64"
fi

SDK_PATH=`xcrun --sdk $SDK --show-sdk-path`

# cmd/cgo doesn't support llvm-gcc-4.2, so we have to use clang.
CLANG=`xcrun --sdk $SDK --find clang`

TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=devel ci/official/containers/ml_build"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-x86_64"
TFCI_OUTPUT_DIR=build_output
TFCI_WHL_AUDIT_ENABLE=1
TFCI_WHL_AUDIT_PLAT=manylinux_2_27_x86_64
TFCI_WHL_BAZEL_TEST_ENABLE=1
TFCI_WHL_SIZE_LIMIT=300M

To run the standard library tests, enable Cgo and use an appropriate
C compiler from the Android NDK. For example,

	CGO_ENABLED=1 \
	GOOS=android \
	GOARCH=arm64 \
	CC_FOR_TARGET=$NDK/toolchains/llvm/prebuilt/linux-x86_64/bin/aarch64-linux-android21-clang \
	./all.bash

To run tests on the Android device, add the bin directory to PATH so the
go tool can find the go_android_$GOARCH_exec wrapper generated by

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

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.

      - name: AVD System Image Cache
        uses: actions/cache@v5
        id: avd-cache
        with:
          key: avd-${{ runner.os }}-${{ matrix.api-level }}-${{ matrix.api-level >= 30 && 'x86_64' || 'x86' }}
          path: |
            ~/.android/avd/*
            ~/.android/adb*
            # Added the actual system image path
            ${{ env.ANDROID_HOME }}/system-images/android-${{ matrix.api-level }}

#    build. This should also match the system you're using--you cannot build
#    the TF MacOS package from Linux.
#      Ex. linux_x86        -- x86_64 Linux platform
#      Ex. linux_x86_cuda   -- x86_64 Linux platform, with Nvidia CUDA support
#      Ex. macos_arm64      -- arm64 MacOS platform
# 3. Add modifiers. Some modifiers for local execution are:
#      Ex. disk_cache -- Use a local cache