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

   > "/${TARGET}/usr/lib64/libstdc++.so.${LIBSTDCXX_VERSION}"
cp "./x86_64-pc-linux-gnu/libstdc++-v3/src/.libs/libstdc++_nonshared44.a" \
   "/${TARGET}/usr/lib64"
;;
esac

# Link in architecture specific includes from the system; note that we cannot
# link in the whole x86_64-linux-gnu folder, as otherwise we're overlaying
# system gcc paths that we do not want to find.

  // This runs Corretto on macOS (aarch64) and Linux (x86_64). We don't test Corretto on other
  // operating systems or architectures.
  api(
    variantOf(libs.amazon.corretto) {
      classifier(
        when {
          OperatingSystem.current().isMacOsX -> "osx-aarch_64"
          OperatingSystem.current().isLinux -> "linux-x86_64"
          else -> "linux-x86_64" // Code that references Corretto will build but not run.
        },

                "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());
    }

    @Test
    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");

--- /dt9/usr/include/x86_64-linux-gnu/sys/cdefs.h       2013-09-30 13:58:17.000000000 +0000
+++ /dt9/usr/include/x86_64-linux-gnu/sys/cdefs.new.h   2022-11-04 17:17:31.727061220 +0000
@@ -320,7 +320,7 @@

 /* GCC 4.3 and above with -std=c99 or -std=gnu99 implements ISO C99
    inline semantics, unless -fgnu89-inline is used.  */
-#if (!defined __cplusplus || __GNUC_PREREQ (4,3)) && defined __GNUC__

# 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/ /

			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

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