// Should not throw any exception.
        assertDoesNotThrow(() -> dfsImpl.cache(mockContext, "invalidpath", mockReferral));
    }

    @Test
    void testCache_ValidPath() {
        // Scenario: A valid referral is cached.
        DfsReferralDataInternal mockReferral = mock(DfsReferralDataInternal.class);

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

import org.apache.maven.api.annotations.Experimental;

/**
 * Enumeration defining different retention periods for cached data.
 * Each value represents a specific scope and lifetime for cached items.
 *
 * @since 4.0.0
 */
@Experimental
public enum CacheRetention {
    /**

    }

    /**
     * Gets the maximum age for cached directory data before requiring refresh
     * @return the maximum cache age in milliseconds
     */
    public long getMaxCacheAge() {
        return maxCacheAge;
    }

    /**
     * Sets the maximum age for cached directory data
     * @param maxCacheAge the maximum cache age in milliseconds
     */

                 * be cached and cause other types to fail even though they may
                 * not be the authority for the name. For example, if a WINS lookup
                 * for FOO fails and caches unknownAddress for FOO, a subsequent
                 * lookup for FOO using BCAST should not fail because of that
                 * name cached from WINS.
                 *

/**
 * Statistics about the performance of a {@link Cache}. Instances of this class are immutable.
 *
 * <p>Cache statistics are incremented according to the following rules:
 *
 * <ul>
 *   <li>When a cache lookup encounters an existing cache entry {@code hitCount} is incremented.
 *   <li>When a cache lookup first encounters a missing cache entry, a new entry is loaded.
 *       <ul>

            entry.breaking = true;
            entry.updateState(newState);
            // Flush any cached data if losing write cache
            if (!entry.hasWriteCache()) {
                flushCachedWrites(entry.path);
            }
            // Invalidate cached data if losing read cache
            if (!entry.hasReadCache()) {
                invalidateReadCache(entry.path);
            }

    /**
     * Gets a buffer from the cache or creates a new one if the cache is empty.
     *
     * Performance: O(1) operation using concurrent queue
     *
     * @return a byte buffer for SMB operations
     * @throws IllegalStateException if buffer size exceeds maximum allowed
     */
    static public byte[] getBuffer() {
        // Try to get from cache first - O(1) operation
        byte[] buf = bufferQueue.poll();

 * </p>
 *
 * <pre>
 * BeanDesc beanDesc = BeanDescFactory.getBeanDesc(Foo.class);
 * </pre>
 * <p>
 * {@link BeanDesc} is cached. To clear the cache, call {@link DisposableUtil#dispose()}.
 * </p>
 *
 * @author higa
 * @see BeanDesc
 * @see DisposableUtil
 */
public abstract class BeanDescFactory {

    /**
     * Do not instantiate.

        run: |
          mkdir -p ~/.mimir
          cp .github/ci-extensions.xml ~/.m2/extensions.xml
          cp .github/ci-mimir-daemon.properties ~/.mimir/daemon.properties

      - name: Handle Mimir caches
        uses: actions/cache@0400d5f644dc74513175e3cd8d07132dd4860809 # v4
        with:
          path: ~/.mimir/local
          key: mimir-${{ runner.os }}-initial-${{ hashFiles('**/pom.xml') }}
          restore-keys: |

{* ../../docs_src/extending_openapi/tutorial001.py hl[22:24] *}

### Cache the OpenAPI schema { #cache-the-openapi-schema }

You can use the property `.openapi_schema` as a "cache", to store your generated schema.

That way, your application won't have to generate the schema every time a user opens your API docs.

It will be generated only once, and then the same cached schema will be used for the next requests.