#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

     * Non-existing resource directory declarations lead to errors when project is imported into Eclipse.
     */
    public Set<File> getSourceDirs() {
        return sourceDirs;
    }

    public void setSourceDirs(Set<File> sourceDirs) {
        this.sourceDirs = sourceDirs;
    }

    /**
     * The configurations whose files are to be marked to be deployed with a deploy path of '/'.
     * <p>

import org.gradle.tooling.model.idea.IdeaContentRoot
import org.gradle.tooling.model.idea.IdeaModule
import org.gradle.tooling.model.idea.IdeaProject

/**
 * NOTE: Starting with Gradle 5.0 the contract of IdeaModule#sourceDirs and IdeaModule#testSourceDirs changes in
 * a way that the resource directories are excluded.
 */
@TargetGradleVersion(">=5.0")
class ToolingApiIdeaModelCrossVersionSpec extends ToolingApiSpecification {

        def lib2 = new Object()
        def dep2 = Stub(NativeDependencySet)
        def sourceLib = new Object()
        def sourceDep = Stub(NativeDependencySet)

        when:
        binary.lib(lib1)
        def sourceSet = Stub(DependentSourceSet) {
            getLibs() >> [sourceLib]
        }
        binary.inputs.add sourceSet
        binary.lib(lib2)

        and:

		{
			name:     "no match",
			sourceIP: "10.0.0.2",
			destIP:   "10.0.0.3",
			destPort: 80,
			output:   "",
		},
		{
			name:     "single endpoint",
			sourceIP: "10.0.0.2",
			destIP:   "172.30.0.41",
			destPort: 80,
			output:   "10.180.0.1:80",
		},
		{
			name:     "multiple endpoints",
			sourceIP: "10.0.0.2",
			destIP:   "172.30.0.44",
			destPort: 80,

                    public String call() throws Exception {
                        return "../";
                    }
                });
                ((IConventionAware) component).getConventionMapping().map("sourceDirs", new Callable<Set<File>>() {
                    @Override
                    public Set<File> call() throws Exception {
                        return getMainSourceDirs(project);
                    }

#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "absl/strings/str_cat.h"
#include "absl/strings/string_view.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/Support/SourceMgr.h"
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/Diagnostics.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/IR/OwningOpRef.h"  // from @llvm-project

  std::vector<string> api_dirs;
  string tf_prefix_dir;
  string tf_root_dir;
  string tf_output_dir;

  explicit PathConfig() = default;
  explicit PathConfig(const string &output_dir, const string &source_dir,
                      const string &api_dir_list,
                      const std::vector<string> op_names);
};

}  // namespace generator
}  // namespace tensorflow

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

#include "absl/strings/match.h"
#include "llvm/Support/MemoryBuffer.h"
#include "llvm/Support/SourceMgr.h"
#include "llvm/Support/raw_ostream.h"
#include "mlir/Tools/mlir-translate/Translation.h"  // from @llvm-project
#include "tensorflow/core/platform/test.h"

namespace mlir {
namespace {