*type = builder.getType<mlir::tf_type::tftype##Type>(); \
    return OkStatus();
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_types.def"

    default:
      return errors::Unimplemented(absl::StrCat(
          "Converting DataType '", DataTypeString(dtype), "' to MLIR Type"));
  }
}

Status ConvertScalarTypeToDataType(Type type, DataType* dtype) {
  if (type.isF16()) {
    *dtype = DT_HALF;

}

Status FakeSession::Create(const tensorflow::GraphDef& graph) {
  return tensorflow::errors::Unimplemented("not available");
}
Status FakeSession::Extend(const tensorflow::GraphDef& graph) {
  return tensorflow::errors::Unimplemented("not available");
}

Status FakeSession::Close() {
  return tensorflow::errors::Unimplemented("not available");
}

Status FakeSession::ListDevices(

	return nil, fmt.Errorf("unimplemented!")
}

func (e *EndpointRegistry) Create(ctx context.Context, endpoints runtime.Object, createValidation rest.ValidateObjectFunc, options *metav1.CreateOptions) (runtime.Object, error) {
	return nil, fmt.Errorf("unimplemented!")
}

	})
}
func (f *recorderResourceManager) WebService() *restful.WebService {
	panic("unimplemented")
}

func (f *recorderResourceManager) ServeHTTP(http.ResponseWriter, *http.Request) {
	panic("unimplemented")
}

func (f *recorderResourceManager) WithSource(source Source) ResourceManager {
	panic("unimplemented")

	mr.counter++
	return c
}

func (mr *mockRand) bool() bool {
	b := mr.b
	mr.b = !mr.b
	return b
}

func (mr *mockRand) save(*uint64, *uint64) {
	panic("unimplemented")
}

func (mr *mockRand) restore(uint64, uint64) {
	panic("unimplemented")
}

func TestByteSliceMutators(t *testing.T) {
	for _, tc := range []struct {
		name     string
		mutator  func(*mutator, []byte) []byte
		randVals []int

	metav1.TypeMeta
	metav1.ListMeta
	Items []Foo
}

func (s *FooList) DeepCopyObject() runtime.Object { panic("unimplemented") }

type SampleList struct {
	metav1.TypeMeta
	metav1.ListMeta
	Items []Sample
}

func (s *SampleList) DeepCopyObject() runtime.Object { panic("unimplemented") }

type RawExtensionList struct {
	metav1.TypeMeta
	metav1.ListMeta

	Items []runtime.RawExtension
}

// license that can be found in the LICENSE file.

//go:build (!amd64 && !arm64) || purego

package nistec

import "errors"

func P256OrdInverse(k []byte) ([]byte, error) {
	return nil, errors.New("unimplemented")

// license that can be found in the LICENSE file.

//go:build windows

package fdtest

// Exists is not implemented on windows and panics.
func Exists(fd uintptr) bool {
	panic("unimplemented")

// license that can be found in the LICENSE file.

//go:build !unix

package runtime

const canCreateFile = false

func create(name *byte, perm int32) int32 {
	throw("unimplemented")
	return -1

                                      const AbstractOperation* value) {
  return tensorflow::errors::Unimplemented(
      "SetAttrFunction has not been implemented yet.");
}
Status TapeOperation::SetAttrFunctionName(const char* attr_name,
                                          const char* value, size_t length) {
  return tensorflow::errors::Unimplemented(
      "SetAttrFunctionName has not been implemented "
      "yet.");
}