}
        }
    }

    @Nested
    @DisplayName("Performance Tests")
    class PerformanceTests {

        @Test
        @DisplayName("Should handle repeated encoding efficiently")
        void testRepeatedEncoding() {
            TestCreateContextRequest request = new TestCreateContextRequest("PERFORMANCE".getBytes(StandardCharsets.UTF_8));
            byte[] buffer = new byte[256];

# Security
jcifs.smb.client.signingPreferred=false
jcifs.smb.client.signingEnforced=false
jcifs.smb.client.encryptionEnforced=false
jcifs.smb.client.disablePlainTextPasswords=true

# Performance
jcifs.smb.client.useBatching=true
jcifs.smb.client.useUnicode=true
jcifs.smb.client.maxMpxCount=10
```

### Usage with Properties

```java
Properties props = new Properties();

package tar

import (
	"io/fs"
	"os/user"
	"runtime"
	"strconv"
	"sync"
	"syscall"
)

func init() {
	sysStat = statUnix
}

// userMap and groupMap caches UID and GID lookups for performance reasons.
// The downside is that renaming uname or gname by the OS never takes effect.
var userMap, groupMap sync.Map // map[int]string

func statUnix(fi fs.FileInfo, h *Header, doNameLookups bool) error {

  public final String to(CaseFormat format, String str) {
    checkNotNull(format);
    checkNotNull(str);
    return (format == this) ? str : convert(format, str);
  }

  /** Enum values can override for performance reasons. */
  String convert(CaseFormat format, String s) {
    // deal with camel conversion
    StringBuilder out = null;
    int i = 0;
    int j = -1;
    while ((j = wordBoundary.indexIn(s, ++j)) != -1) {

            assertNotNull(map);
            // Verify it works by testing a known mapping
            assertEquals("application/pdf", map.getMimeType("pdf"));
        }
    }

    @Nested
    @DisplayName("Performance and concurrency")
    class PerformanceTests {

        @Test
        @DisplayName("Should handle multiple lookups efficiently")
        void testMultipleLookups() throws IOException {

            assertEquals(0, transport.getResponseMapSize());
            // Response map is accessible through protected field for testing
            // but we avoid complex interactions here for performance
        }
    }

With **FastAPI** you get all of **Starlette**'s features (as FastAPI is just Starlette on steroids):

* Seriously impressive performance. It is <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">one of the fastest Python frameworks available, on par with **NodeJS** and **Go**</a>.
* **WebSocket** support.
* In-process background tasks.

 *       mutable objects as elements at all, as many users may expect your "immutable" object to be
 *       <i>deeply</i> immutable.
 * </ul>
 *
 * <h4>Performance notes</h4>
 *
 * <ul>
 *   <li>Implementations can be generally assumed to prioritize memory efficiency, then speed of
 *       access, and lastly speed of creation.

    protected static final String CRAWLER_CLIENTS = "crawlerClients";

    /**
     * Cache for client rules mapping client names to their corresponding URL patterns.
     * This cache improves performance by avoiding repeated parsing of client configuration rules.
     * The key is the rule string, and the value is a pair containing the client name and compiled pattern.
     */

_2020-03-17_

**This release candidate turns on web socket compression.**

The [spec][rfc_7692] includes a sophisticated mechanism for client and server to negotiate
compression features. We strive to offer great performance in our default configuration and so we're
making compression the default for everyone starting with this release candidate.

Please be considerate of your servers and their operators as you roll out this release. Compression