import java.io.IOException;
import java.io.InputStream;
import java.math.BigInteger;
import java.util.Date;

import jcifs.SmbConstants;
import jcifs.smb.SID;

/**
 * Input stream for reading PAC data structures with proper alignment and byte ordering.
 * Handles little-endian byte order and data alignment requirements of PAC structures.
 */
public class PacDataInputStream {

    private final DataInputStream dis;

And the `dict` you receive as `weights` will actually have `int` keys and `float` values.

///

## Recap { #recap }

With **FastAPI** you have the maximum flexibility provided by Pydantic models, while keeping your code simple, short and elegant.

But with all the benefits:

* Editor support (completion everywhere!)
* Data conversion (a.k.a. parsing / serialization)
* Data validation
* Schema documentation

	lastShardSize := ceilFrac(lastBlockSize, int64(e.dataBlocks))
	return numShards*e.ShardSize() + lastShardSize
}

// ShardFileOffset - returns the effective offset where erasure reading begins.
func (e *Erasure) ShardFileOffset(startOffset, length, totalLength int64) int64 {
	shardSize := e.ShardSize()
	shardFileSize := e.ShardFileSize(totalLength)
	endShard := (startOffset + length) / e.blockSize

     *
     * @param outputFile the converted output file
     * @param outExt the output file extension
     * @return the extracted text content
     * @throws ExtractException if an error occurs while reading the file
     */
    protected String getOutputContent(final File outputFile, final String outExt) {
        final Extractor extractor = getExtractor(outExt);
        if (extractor != null) {

    private static final Logger logger = LogManager.getLogger(ESSourceReader.class);

    /** Queue of documents. */
    protected final Queue<Map<String, Object>> queue = new ConcurrentLinkedQueue<>();
    /** Flag indicating if reading is finished. */
    protected final AtomicBoolean isFinished = new AtomicBoolean(false);
    /** Random number generator. */
    protected final Random random = new Random();

    /** OpenSearch client. */

            throw new IOException("Connection not established");
        }

        try {
            // For TCP fallback, simulate reading data through the TCP socket
            int bytesToRead = Math.min(length, buffer.remaining());
            ByteBuffer tempBuffer = ByteBuffer.allocate(bytesToRead);

            int totalRead = 0;

     * The file is created at {@code META-INF/maven/org.apache.maven.api.di.Inject} and contains
     * the fully qualified names of classes with the {@link Named} annotation.
     *
     * @throws IOException if there is an error reading or writing the file
     */
    private void updateFileIfChanged() throws IOException {
        String path = "META-INF/maven/org.apache.maven.api.di.Inject";

	ctx, cancel := context.WithTimeout(ctx, globalDriveConfig.GetMaxTimeout())
	defer cancel()

	// Use websocket when not reading data.
	if !opts.ReadData {
		resp, err := storageReadVersionRPC.Call(ctx, client.gridConn, grid.NewMSSWith(map[string]string{
			storageRESTDiskID:           *client.diskID.Load(),
			storageRESTOrigVolume:       origvolume,

      // covariantly (and cannot be subclassed to add non-covariant uses).
      @SuppressWarnings("unchecked")
      PeekingImpl<T> peeking = (PeekingImpl<T>) iterator;
      return peeking;
    }
    return new PeekingImpl<>(iterator);
  }

  /**
   * Simply returns its argument.
   *
   * @deprecated no need to use this
   * @since 10.0
   */

import org.codelibs.fess.dict.DictionaryFile;
import org.codelibs.fess.util.ComponentUtil;
import org.dbflute.optional.OptionalEntity;

/**
 * Dictionary file for protected words.
 * This class manages the reading, writing, and updating of protected words dictionary files.
 */
public class ProtwordsFile extends DictionaryFile<ProtwordsItem> {
    private static final String PROTWORDS = "protwords";