// Verify that attribute T is not set as ref type.
// CHECK-LABEL: name: "Ref_Variable"
// CHECK-LABEL: name: "foo"
// CHECK:      attr {
// CHECK-NEXT:   key: "T"
// CHECK-NEXT:   value {
// CHECK-NEXT:     type: DT_INT32{{$}}
// CHECK-NEXT:   }
// CHECK-NEXT: }

func.func @main() {
  tf_executor.graph {

      T41, T42, T43, T44, T45, T46, T47, T48, T49> type;
};

namespace internal {

# define GTEST_TEMPLATE_ template <typename T> class

// The template "selector" struct TemplateSel<Tmpl> is used to
// represent Tmpl, which must be a class template with one type
// parameter, as a type.  TemplateSel<Tmpl>::Bind<T>::type is defined
// as the type Tmpl<T>.  This allows us to actually instantiate the

      T41, T42, T43, T44, T45, T46, T47, T48, T49> type;
};

namespace internal {

# define GTEST_TEMPLATE_ template <typename T> class

// The template "selector" struct TemplateSel<Tmpl> is used to
// represent Tmpl, which must be a class template with one type
// parameter, as a type.  TemplateSel<Tmpl>::Bind<T>::type is defined
// as the type Tmpl<T>.  This allows us to actually instantiate the

# Test the handling of the input data types. In particular, if the data type
# for an input graph node is specified via command line options, use it.
# otherwise, use the data type of the node in the graph.

node {
  name: "p"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_BOOL
    }
  }
  attr {
    key: "shape"
    value {
      shape {

		t.Errorf("expected equal but got non-equal")
	}

	evalCounter := 0
	// add dict as a map constructed from an expression
	variablesType.Fields["dict"] = apiservercel.NewDeclField("dict", apiservercel.DynType, true, nil, nil)
	variablesMap.Append("dict", func(_ *MapValue) ref.Val {
		evalCounter++
		v, err := compileAndRun(env, activation, `{"a": "a"}`)
		if err != nil {
			return types.NewErr(err.Error())
		}
		return v

	callbackTypeAfterFind    callbackType = "AfterFind"
)

// ErrUnsupportedDataType unsupported data type
var ErrUnsupportedDataType = errors.New("unsupported data type")

type Schema struct {
	Name                      string
	ModelType                 reflect.Type
	Table                     string
	PrioritizedPrimaryField   *Field
	DBNames                   []string
	PrimaryFields             []*Field

	if response != nil {
		w.Write(response)
	}
}

// mimeType represents various MIME type used API responses.
type mimeType string

const (
	// Means no response type.
	mimeNone mimeType = ""
	// Means response type is JSON.
	mimeJSON mimeType = "application/json"
	// Means response type is XML.
	mimeXML mimeType = "application/xml"
)

			t.Errorf("expected field %q to be present", field.Name)
		}
		if nativeTypeToCELType(t, field.Type).CelType().Equal(declField.Type.CelType()).Value() != true {
			t.Errorf("expected field %q to have type %v, got %v", field.Name, field.Type, declField.Type)
		}
	}
}

func nativeTypeToCELType(t *testing.T, nativeType reflect.Type) *apiservercel.DeclType {
	switch nativeType {
	case reflect.TypeOf(""):

// RUN: odml-to-stablehlo-opt --compose-uniform-quantized-type \
// RUN:     --split-input-file --verify-diagnostics %s | FileCheck %s

module {
// CHECK-LABEL: quantized_conv_op
// CHECK-SAME: %[[ARG:.*]]: tensor<1x3x3x4xf32>
  func.func @quantized_conv_op(%arg0: tensor<1x3x3x4xf32>) -> tensor<1x3x3x4xf32> {
    %1 = stablehlo.constant dense<1.000000e+03> : tensor<1x1x1x1xf32>  // Input inverse scale.

	celconfig "k8s.io/apiserver/pkg/apis/cel"
	"k8s.io/apiserver/pkg/cel/environment"
)

type testVariable struct {
	name       string
	expression string
}

func (t *testVariable) GetExpression() string {
	return t.expression
}

func (t *testVariable) ReturnTypes() []*cel.Type {
	return []*cel.Type{cel.AnyType}
}

func (t *testVariable) GetName() string {
	return t.name
}