import com.google.errorprone.annotations.concurrent.LazyInit;
import java.util.Collection;
import java.util.Map;
import org.jspecify.annotations.Nullable;

/**
 * An implementation of ImmutableMultiset backed by a JDK Map and a list of entries. Used to protect
 * against hash flooding attacks.
 *
 * @author Louis Wasserman
 */
@GwtCompatible
final class JdkBackedImmutableMultiset<E> extends ImmutableMultiset<E> {

* `frozenset`:
    * Wird in Requests und Responses wie ein `set` behandelt:
        * Bei Requests wird eine Liste gelesen, Duplikate entfernt und in ein `set` umgewandelt.
        * Bei Responses wird das `set` in eine `list`e umgewandelt.
        * Das generierte Schema zeigt an, dass die `set`-Werte eindeutig sind (unter Verwendung von JSON Schemas `uniqueItems`).
* `bytes`:
    * Standard-Python-`bytes`.

# JSON 호환 가능 인코더

데이터 유형(예: Pydantic 모델)을 JSON과 호환된 형태로 반환해야 하는 경우가 있습니다. (예: `dict`, `list` 등)

예를 들면, 데이터베이스에 저장해야하는 경우입니다.

이를 위해, **FastAPI** 에서는 `jsonable_encoder()` 함수를 제공합니다.

## `jsonable_encoder` 사용

JSON 호환 가능 데이터만 수신하는 `fake_db` 데이터베이스가 존재한다고 가정하겠습니다.

예를 들면, `datetime` 객체는 JSON과 호환되는 데이터가 아니므로 이 데이터는 받아들여지지 않습니다.

            WebApiUtil.setObject("objectValue", new Object());

            // Test with collections
            java.util.List<String> list = java.util.Arrays.asList("item1", "item2");
            WebApiUtil.setObject("listValue", list);

            java.util.Map<String, String> map = new java.util.HashMap<>();
            map.put("key", "value");
            WebApiUtil.setObject("mapValue", map);

        String capturedSessionId;
        List<String> capturedCmdList;
        Map<String, String> capturedEnvironment;
        File capturedDirectory;
        int exitValue = 0;
        String processOutput = "Test output";
        RuntimeException throwException = null;

        @Override

    void testCollectionConfigurationDelegation() {
        // Given
        List<ResolverType> resolverOrder = Arrays.asList(ResolverType.RESOLVER_DNS, ResolverType.RESOLVER_WINS);
        when(mockDelegate.getResolveOrder()).thenReturn(resolverOrder);

        // When
        List<ResolverType> resultResolverOrder = delegatingConfig.getResolveOrder();

        // Then

		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrAccessDenied), r.URL)
		return
	}

	// If etcd, dns federation configured list buckets from etcd.
	var bucketsInfo []BucketInfo
	if globalDNSConfig != nil && globalBucketFederation {
		dnsBuckets, err := globalDNSConfig.List()
		if err != nil && !IsErrIgnored(err,
			dns.ErrNoEntriesFound,
			dns.ErrDomainMissing) {

# JSON Compatible Encoder

Hay algunos casos en los que podrías necesitar convertir un tipo de dato (como un modelo de Pydantic) a algo compatible con JSON (como un `dict`, `list`, etc).

Por ejemplo, si necesitas almacenarlo en una base de datos.

Para eso, **FastAPI** proporciona una función `jsonable_encoder()`.

## Usando el `jsonable_encoder`

Imaginemos que tienes una base de datos `fake_db` que solo recibe datos compatibles con JSON.

# (error on undefined variables). This ensures that (a) every TFCI variable
# has an explicit default value, and (b) no script can accidentally use a
# variable that doesn't exist. Please keep this list in alphabetical order.
#
# Find usage in scripts with e.g.:
#   cd ci/official
#   ls *.sh utilities/*.sh | xargs grep -H --color=always TFCI_ARG_HERE
# You may also get an overview, e.g.:
#   cd ci/official

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.dict.synonym;

import java.util.ArrayList;
import java.util.Date;
import java.util.List;

import org.codelibs.fess.dict.DictionaryFile.PagingList;
import org.codelibs.fess.unit.UnitFessTestCase;

public class SynonymFileTest extends UnitFessTestCase {
    private SynonymFile synonymFile;

    // TODO