mlir::RegisterAllTensorFlowDialects(registry);
    context.appendDialectRegistry(registry);
    context.loadAllAvailableDialects();
  });

  m.def("verify", [](std::string input) {
    llvm::SourceMgr SM = llvm::SourceMgr();
    SM.AddNewSourceBuffer(llvm::MemoryBuffer::getMemBuffer(input),
                          llvm::SMLoc());
    mlir::DialectRegistry registry;
    mlir::RegisterAllTensorFlowDialects(registry);

    }
}
// end::closure[]

tasks.register("conventions") {
    val objects = objects
    doLast {
        // tag::conventions[]
        val sourceDirs = objects.fileCollection().convention("src")
        sourceDirs.from("src2")
        val sourceDirNames = sourceDirs.map { it.name }
        println("Source dirs: $sourceDirNames") // [src, src2]
        // end::conventions[]
    }
}

tasks.register("usage") {

                    mlir::shape::ShapeDialect, mlir::TFR::TFRDialect>();
    mlir::MLIRContext ctx(registry);
    ctx.loadAllAvailableDialects();

    llvm::SourceMgr source_mgr = llvm::SourceMgr();
    source_mgr.AddNewSourceBuffer(llvm::MemoryBuffer::getMemBuffer(input),
                                  llvm::SMLoc());
    auto module = mlir::parseSourceFile<mlir::ModuleOp>(source_mgr, &ctx);

            this.className = initClassName();
        }
        return className;
    }

    private String initClassName() {
        URI sourceUri = getResource().getLocation().getURI();
        if (sourceUri != null) {
            String path = sourceUri.toString();
            return classNameFromPath(path);
        }

        return "script_" + hashString(resource.getText()).toCompactString();
    }

        val sourceDirectory = "src-directory"
    }

    override fun sourceDirs(): Collection<File> =
        try {
            sourceDirs
        } catch (ex: Exception) {
            project.logger.warn("Unexpected exception while resolving Gradle distribution sources: ${ex.message}", ex)
            emptyList()
        }

    private
    val sourceDirs by lazy {
        createSourceRepository()
        registerTransforms()

        def implicitHeaderFiles = implicitHeaders as Set
        def sourceSet = Mock(HeaderExportingSourceSet)
        def sourceDirs = Mock(SourceDirectorySet)
        1 * sourceSet.exportedHeaders >> sourceDirs
        1 * sourceDirs.files >> exportedHeaderFiles
        def implicitHeaderSet = Mock(SourceDirectorySet)
        1 * sourceSet.implicitHeaders >> implicitHeaderSet

    private final String contentType;
    private final File downloadedResource;

    public DownloadedUriTextResource(String description, URI sourceUri, String contentType, File downloadedResource, RelativeFilePathResolver resolver) {
        super(description, sourceUri, resolver);
        this.contentType = contentType;
        this.downloadedResource = downloadedResource;
    }

    @Override

func (o *Options) addOSFlags(fs *pflag.FlagSet) {
	fs.BoolVar(&o.WindowsService, "windows-service", o.WindowsService, "Enable Windows Service Control Manager API integration")
	fs.StringVar(&o.config.Winkernel.SourceVip, "source-vip", o.config.Winkernel.SourceVip, "The IP address of the source VIP for non-DSR.")
	fs.StringVar(&o.config.Winkernel.NetworkName, "network-name", o.config.Winkernel.NetworkName, "The name of the cluster network.")

#define TENSORFLOW_COMPILER_MLIR_LITE_EXPERIMENTAL_TAC_TFLITE_IMPORT_EXPORT_H_

#include <memory>
#include <string>
#include <vector>

#include "absl/status/status.h"
#include "llvm/Support/SourceMgr.h"
#include "tensorflow/compiler/mlir/lite/experimental/tac/tac_importer_exporter.h"

namespace mlir {
namespace TFL {
namespace tac {
// TAC Importer for TFLite.
// This import to MLIR from tflite file or MLIR

namespace generator {
namespace {

TEST(CppGeneratorTest, typical_usage) {
  string category = "testing";
  string name_space = "tensorflow::ops";
  string output_dir = "tensorflow/c/experimental/ops/gen/cpp/golden";
  string source_dir = "tensorflow";
  string api_dirs = "";
  std::vector<string> ops = {
      "Neg",        // Simple unary Op
      "MatMul",     // 2 inputs & attrs with default values
      "IdentityN",  // Variadic input+output