* governing permissions and limitations under the License.
 */
package org.codelibs.core.beans;

/**
 * 文字列とオブジェクトの変換を行なうインターフェースです。
 *
 * @author higa
 */
public interface Converter {

    /**
     * 値を文字列として返します。
     *
     * @param value
     *            値
     * @return 文字列としての値
     */
    String getAsString(Object value);

    /**
     * 値をオブジェクトとして返します。
     *

}

func durationConverter(value *durationpb.Duration) convertFunc {
	return func(*instance) (any, error) {
		return value.AsDuration().String(), nil
	}
}

// openCensusAgentContextConverter returns a converter that returns the list of
// distributed trace contexts to propagate with envoy.
func openCensusAgentContextConverter(contexts []meshAPI.Tracing_OpenCensusAgent_TraceContext) convertFunc {

---
name: TensorFlow Lite Converter Issue
about: Use this template for reporting issues during model conversion to TFLite
labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

				return nil, nil, nil, fmt.Errorf("failed to convert extension config struct %+v to Wasm Network filter", typedStruct)
			}
		} else if typedStruct.TypeUrl == model.WasmNetworkFilterType {
			wasmNetwork = true
			if err := conversion.StructToMessage(typedStruct.Value, wasmNetworkFilterConfig); err != nil {
				return nil, nil, nil, fmt.Errorf("failed to convert extension config struct %+v to Wasm HTTP filter", typedStruct)
			}

		// converted by value, not by pointer.
		fn = typecheck.LookupRuntime(fnname)
		var arg ir.Node
		switch {
		case fromType == argType:
			// already in the right type, nothing to do
			arg = n
		case fromType.Kind() == argType.Kind(),
			fromType.IsPtrShaped() && argType.IsPtrShaped():
			// can directly convert (e.g. named type to underlying type, or one pointer to another)

                               outConvertedType);
  }
  if (auto uniformQuantizedPerAxis =
          mlir::dyn_cast<quant::UniformQuantizedPerAxisType>(
              quantizedElementType)) {
    UniformQuantizedPerAxisValueConverter converter(uniformQuantizedPerAxis);
    auto converted = converter.convert(realValue);
    // TODO: why we need this outConvertedType? remove it?
    if (converted) {

    def 'converts lock notation to a ModuleComponentIdentifier'() {
        given:
        def converter = new DependencyLockingNotationConverter()
        def lockEntry = 'org:foo:1.1'

        when:
        def converted = converter.convertFromLockNotation(lockEntry)

        then:
        converted instanceof ModuleComponentIdentifier
        converted.group == 'org'
        converted.module == 'foo'

    }

    def "can convert stop option - #options"() {
        when:
        def converted = convert(options)

        then:
        converted.stop == stop

        where:
        options    | stop
        []         | false
        ['--stop'] | true
    }

    def "can convert status option - #options"() {
        when:
        def converted = convert(options)

        then:

        return NotationParserBuilder
            .toType(type)
            .noImplicitConverters()
            .converter(converter)
            .toComposite();
    }

    private <T> void registerConverter(NotationConverter<Object, T> converter, Class<T> type) {
        parsers.put(type, build(converter, type));
    }

	s = (*S)(t)
	s = (*S)(u) // ERROR "cannot convert"
	t = u       // ERROR "cannot use .* in assignment|incompatible type"
	t = (*T)(u) // ERROR "cannot convert"
}

func _() {
	var s []byte
	_ = ([4]byte)(s)
	_ = (*[4]byte)(s)

	type A [4]byte
	_ = (A)(s)
	_ = (*A)(s)

	type P *[4]byte
	_ = (P)(s)
	_ = (*P)(s) // ERROR "cannot convert"