}()
	for count := 0; s.Scan(); count++ {
		if count > 1000 {
			t.Fatal("looping")
		}
	}
	if s.Err() != nil {
		t.Fatal("after scan:", s.Err())
	}
}

func TestBlankLines(t *testing.T) {
	s := NewScanner(strings.NewReader(strings.Repeat("\n", 1000)))
	for count := 0; s.Scan(); count++ {
		if count > 2000 {
			t.Fatal("looping")
		}
	}
	if s.Err() != nil {
		t.Fatal("after scan:", s.Err())
	}

        if (m.find()) {
            pos = m.start();
        } else {
            pos = input.length();
        }
    }

    /**
     * Moves the position over the given pattern if currently looking at the pattern. Does nothing if not.
     */
    public void skip(Pattern pattern) {
        Matcher m = pattern.matcher(input);
        m.region(pos, input.length());
        if (m.lookingAt()) {

	// Read certificate file.
	var data []byte
	if data, err = os.ReadFile(certFile); err != nil {
		return nil, err
	}

	// Trimming leading and tailing white spaces.
	data = bytes.TrimSpace(data)

	// Parse all certs in the chain.
	current := data
	for len(current) > 0 {
		var pemBlock *pem.Block
		if pemBlock, current = pem.Decode(current); pemBlock == nil {

}

// hashOrder - hashes input key to return consistent
// hashed integer slice. Returned integer order is salted
// with an input key. This results in consistent order.
// NOTE: collisions are fine, we are not looking for uniqueness
// in the slices returned.
func hashOrder(key string, cardinality int) []int {
	if cardinality <= 0 {
		// Returns an empty int slice for cardinality < 0.
		return nil
	}

        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.

  - type: textarea
    attributes:
      label: API(s)

    frame.writeByte(Http2.TYPE_HEADERS)
    frame.writeByte(FLAG_NONE)
    frame.writeInt(expectedStreamId and 0x7fffffff)
    frame.write(headerBlock, Http2.INITIAL_MAX_FRAME_SIZE.toLong())

    // Write the continuation frame, specifying no more frames are expected.
    writeMedium(frame, headerBlock.size.toInt())
    frame.writeByte(Http2.TYPE_CONTINUATION)
    frame.writeByte(FLAG_END_HEADERS)

 * Features:
 * - Structured JSON logging
 * - Sensitive data masking
 * - Event categorization
 * - Performance metrics
 * - Compliance-ready audit trail
 * - Asynchronous logging with bounded queue
 * - Object pooling to reduce GC pressure
 */
public class SecurityAuditLogger {

    private static final Logger auditLog = LoggerFactory.getLogger("SECURITY.AUDIT");

- Thread-local storage via `CrawlingParameterUtil`

**Resource Management**:
- `AutoCloseable` throughout
- `DeferredFileOutputStream` for large responses (temp files for >1MB)
- Connection pooling with limits
- Background temp file deletion via `FileUtil.deleteInBackground()`

**Fault Tolerance**:
- `FaultTolerantClient` wrapper (retry, circuit breaker)

Since HTTP requests frequently happen in parallel, connection pooling must be thread-safe.

These are the primary classes involved with establishing, sharing, and terminating connections:

// encryption schemes. Such an ETag must be decrypted before sent to an
// S3 client.
//
// # S3 Clients
//
// There are many different S3 client implementations. Most of them
// access the ETag by looking for the HTTP response header key "Etag".
// However, some of them assume that the header key has to be "ETag"
// (case-sensitive) and will fail otherwise.
// Further, some clients require that the ETag value is a double-quoted