}, // 1
	{
		ExpectedErr: Errorf("The object metadata is missing the internal sealed key for SSE-S3"),
		Metadata:    map[string]string{MetaIV: "", MetaAlgorithm: ""}, DataKey: []byte{}, KeyID: "", SealedKey: SealedKey{},
	}, // 2
	{
		ExpectedErr: Errorf("The object metadata is missing the internal KMS key-ID for SSE-S3"),

specific language governing permissions and limitations
under the License.
-->

<project>
  <modelVersion>4.0.0</modelVersion>

  <parent>
    <!-- all fields missing -->
  </parent>

  <artifactId>aid</artifactId>
  <groupId>gid</groupId>
  <version>0.1</version>

        client.get("/response_model-no_annotation-return_invalid_dict")
    assert "missing" in str(excinfo.value)


def test_response_model_no_annotation_return_invalid_model():
    with pytest.raises(ResponseValidationError) as excinfo:
        client.get("/response_model-no_annotation-return_invalid_model")
    assert "missing" in str(excinfo.value)


def test_response_model_no_annotation_return_dict_with_extra_data():

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.project.validation;

import org.apache.maven.model.Model;

/**
 * Checks the model for missing or invalid values.
 *
 */
@Deprecated
public interface ModelValidator {

    String ROLE = ModelValidator.class.getName();

    ModelValidationResult validate(Model model);

def test_foo_no_needy():
    response = client.get("/items/foo")
    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["query", "needy"],
                "msg": "Field required",
                "input": None,
            }
        ]
    }


def test_openapi_schema():

import org.opensearch.search.aggregations.bucket.histogram.DateHistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.DateRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;

      <groupId>test</groupId>
      <artifactId>a</artifactId>
      <version>0.2</version>
    </dependency>
    <dependency>
      <groupId>test</groupId>
      <artifactId>b</artifactId>
      <version>${missing.property}</version>
    </dependency>
    <dependency>
      <groupId>test</groupId>
      <artifactId>c</artifactId>
      <version>1/1</version>
    </dependency>
  </dependencies>

    def __str__(self):
        return self.uuid

    @property  # type: ignore
    def __class__(self):
        return uuid.UUID

    @property
    def __dict__(self):
        """Spoof a missing __dict__ by raising TypeError, this is how
        asyncpg.pgroto.pgproto.UUID behaves"""
        raise TypeError("vars() argument must have __dict__ attribute")


def test_pydanticv2():
    from pydantic import field_serializer

            PluginDescriptor pluginDescriptor = null;
            if (plugin.isExtensions() && !artifacts.isEmpty()) {
                // ignore plugin descriptor parsing errors at this point
                // these errors will reported during calculation of project build execution plan
                try {

	if err != nil {
		log.Fatalf("Error initializing LDAP Identity: %v", err)
	}

	stsEndpointURL, err := url.Parse(stsEndpoint)
	if err != nil {
		log.Fatalf("Error parsing sts endpoint: %v", err)
	}

	opts := &minio.Options{
		Creds:  li,
		Secure: stsEndpointURL.Scheme == "https",
	}

	v, err := li.Get()
	if err != nil {