byte[] data = "Hello, World!".getBytes();
        ContentCache cache = new ContentCache(data);

        // Memory-based cache close should not throw exception
        cache.close();

        // Should still be able to get input stream after close for memory cache
        try (InputStream stream = cache.getInputStream()) {
            assertNotNull(stream);
        }
    }

    @Test

FESS_LOG_PATH=${packaging.fess.log.dir}
FESS_CONF_PATH=${packaging.fess.conf.dir}
FESS_VAR_PATH=${packaging.fess.var.dir}

FESS_DICTIONARY_PATH=/var/lib/opensearch/config/

# Port
FESS_PORT=8080

# Heap Memory
FESS_HEAP_SIZE=512m

# Elasticsearch Path
SEARCH_ENGINE_HOME=/usr/share/opensearch/

# Elasticsearch URL

* 403: `status.HTTP_403_FORBIDDEN`
* etc.

It can be convenient to quickly access HTTP (and WebSocket) status codes in your app, using autocompletion for the name without having to remember the integer status codes by memory.

Read more about it in the [FastAPI docs about Response Status Code](https://fastapi.tiangolo.com/tutorial/response-status-code/).

## Example

```python
from fastapi import FastAPI, status

app = FastAPI()

    client.setConnectionTimeout(30000);     // Connection timeout
    client.setSocketTimeout(60000);         // Read timeout
});
```

### Memory Management

```java
// Configure memory usage
crawler.crawlerContext.setMaxAccessCount(10000);     // Limit crawled URLs
crawler.crawlerContext.setMaxDepth(5);               // Limit crawl depth

// Use streaming for large files

 * This class provides methods to store, retrieve, update, and delete access results,
 * as well as to iterate over them. It uses a {@link MemoryDataHelper} to store the data in memory.
 *
 * <p>
 * The class uses a static {@code idCount} to generate unique IDs for each access result.
 * The {@code idCountLock} object is used to synchronize access to the {@code idCount} variable,

    }

    private void appendJvmStats(final StringBuilder buf) {
        buf.append("\"jvm\":{");
        final JvmStats jvmStats = JvmStats.jvmStats();
        final Mem mem = jvmStats.getMem();
        buf.append("\"memory\":{");
        buf.append("\"heap\":{");
        append(buf, "used", () -> mem.getHeapUsed().getBytes()).append(',');
        append(buf, "committed", () -> mem.getHeapCommitted().getBytes()).append(',');

    }

    /**
     * Returns a {@link ByteBuffer} that maps the file channel to memory.
     *
     * @param channel
     *            The file channel. Must not be {@literal null}.
     * @param mode
     *            The mode. Must not be {@literal null}.
     * @return A {@link ByteBuffer} that maps the file channel to memory.
     */
    public static ByteBuffer map(final FileChannel channel, final MapMode mode) {

 */
package okhttp3.internal.tls

import java.security.cert.X509Certificate
import javax.security.auth.x500.X500Principal

/** A simple index that of trusted root certificates that have been loaded into memory. */
class BasicTrustRootIndex(
  vararg caCerts: X509Certificate,
) : TrustRootIndex {
  private val subjectToCaCerts: Map<X500Principal, Set<X509Certificate>>

  init {

 * This class provides methods for managing a queue of URLs to be crawled,
 * including adding, deleting, and retrieving URLs from the queue.
 * It uses a {@link MemoryDataHelper} to store the URL queue data in memory.
 *
 * <p>
 * The class is responsible for:
 * </p>
 * <ul>
 *   <li>Updating session IDs for URL queues.</li>
 *   <li>Adding new URLs to the queue.</li>

 * <p>This class should not be assumed to be universally superior to {@code java.util.HashSet}.
 * Generally speaking, this class reduces object allocation and memory consumption at the price of
 * moderately increased constant factors of CPU. Only use this class when there is a specific reason
 * to prioritize memory over CPU.
 *
 * @author Dimitris Andreou
 * @author Jon Noack
 */
@GwtIncompatible // not worth using in GWT for now