EXTENSION.linux =
EXTENSION.windows = .exe
EXTENSION := ${EXTENSION.${OS}}

# The manifest command is still experimental as of Docker 18.09.3
export DOCKER_CLI_EXPERIMENTAL=enabled

TRIPLE.windows-amd64 := x86_64-w64-mingw32
TRIPLE.linux-amd64 := x86_64-linux-gnu
TRIPLE.linux-arm := arm-linux-gnueabihf
TRIPLE.linux-arm64 := aarch64-linux-gnu
TRIPLE.linux-ppc64le := powerpc64le-linux-gnu
TRIPLE.linux-s390x := s390x-linux-gnu

        OperatingSystemInternal solaris = new DefaultOperatingSystem("solaris");

        ArchitectureInternal x86 = Architectures.forInput(ARCH_X86);
        ArchitectureInternal x64 = Architectures.forInput("x86_64");
        ArchitectureInternal ia64 = Architectures.forInput("ia64");
        ArchitectureInternal armv7 = Architectures.forInput("armv7");
        ArchitectureInternal aarch64 = Architectures.forInput("aarch64");

            toolProvider
        }

        where:
        architecture << [
                MachineArchitecture.X86,
                MachineArchitecture.X86_64
        ]
    }

    def "can associate the compiler version #compilerVersion to #languageVersion language version"() {
        expect:

    }

    private NativeVariantIdentity getIdentity() {
        return new NativeVariantIdentity("test", null, null, null, true, false, targetMachine(OperatingSystemFamily.WINDOWS, MachineArchitecture.X86_64),
            new DefaultSoftwareComponentVariant("test", AttributeTestUtil.attributesFactory().mutable()),
            new DefaultSoftwareComponentVariant("test", AttributeTestUtil.attributesFactory().mutable())
        )

    "\n";

}  // end namespace tfcompile
}  // end namespace tensorflow

int main(int argc, char** argv) {
  tensorflow::tfcompile::MainFlags flags;
#ifndef __s390x__
  flags.target_triple = "x86_64-pc-linux";
#endif
  flags.out_function_object = "out_model.o";
  flags.out_metadata_object = "out_helper.o";
  flags.out_header = "out.h";
  flags.entry_point = "entry";
  flags.debug_info_path_begin_marker = "";

#    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

    val isWindows = OperatingSystem.current().isWindows
    val isLinux = OperatingSystem.current().isLinux
    val isMacOsX = OperatingSystem.current().isMacOsX
    val isIntel: Boolean = architecture == "x86_64" || architecture == "x86"
    val isSlowInternetConnection
        get() = System.getProperty("slow.internet.connection", "false")!!.toBoolean()
    val agentNum: Int
        get() {

        }

        definition += ".";

        if (host.getArchitecture().isI386()) {
            definition += "x86";
        } else if (host.getArchitecture().isAmd64()) {
            definition += "x86_64";
        } else {
            definition += "architecture(\"" + host.getArchitecture().getName() + "\")";
        }

        return definition;
    }

        switch (archString) {
            case "x86":
                return Architectures.forInput("x86")
            case "x64":
                return Architectures.forInput("x86_64")
            case "IA64":
                return Architectures.forInput("ia-64")
            case "ARM":
                return Architectures.forInput("arm")
            default:

        switch (archString) {
            case "Intel 80386":
                return Architectures.forInput("x86")
            case "Advanced Micro Devices X86-64":
                return Architectures.forInput("x86_64")
            default:
                throw new RuntimeException("Cannot determine architecture for ${archString}\nreadelf output:\n${lines}")
        }
    }