}

    @Override
    public int encode(byte[] dst, int dstIndex) {
        int start = dstIndex;

        // Write context header
        SMBUtil.writeInt4(0, dst, dstIndex); // Next (offset to next context, 0 for last)
        dstIndex += 4;

        SMBUtil.writeInt2(16, dst, dstIndex); // NameOffset (from start of context)
        dstIndex += 2;

        SMBUtil.writeInt2(4, dst, dstIndex); // NameLength
        dstIndex += 2;

    /**
     * Creates a new SMB1 close file request.
     *
     * @param config the CIFS configuration
     * @param fid the file identifier to close
     * @param lastWriteTime the last write time to set on the file
     */
    public SmbComClose(final Configuration config, final int fid, final long lastWriteTime) {
        super(config, SMB_COM_CLOSE);
        this.fid = fid;

    return iterator.hasNext() ? iterator.next() : defaultValue;
  }

  /**
   * Advances {@code iterator} to the end, returning the last element.
   *
   * @return the last element of {@code iterator}
   * @throws NoSuchElementException if the iterator is empty
   */
  @ParametricNullness
  public static <T extends @Nullable Object> T getLast(Iterator<T> iterator) {

Pull Requests (PRs) drive quality in MinIO’s codebase by:
- Enabling peer review without pair programming.
- Documenting changes for future reference.
- Ensuring commits tell a clear story of development.

**A poor commit lasts forever, even if code is refactored.**

## Crafting a Quality PR

A strong MinIO PR:
- Delivers a complete, valuable change (feature, bug fix, or improvement).

}

func (g execG[T]) Scan(ctx context.Context, result interface{}) error {
	var r T
	err := g.g.apply(ctx).Model(r).Find(result).Error
	return err
}

func (g execG[T]) Last(ctx context.Context) (T, error) {
	var r T
	err := g.g.apply(ctx).Last(&r).Error
	return r, err
}

func (g execG[T]) Take(ctx context.Context) (T, error) {
	var r T
	err := g.g.apply(ctx).Take(&r).Error
	return r, err
}

 *   <li>least-recently-used eviction when a maximum size is exceeded (note that the cache is
 *       divided into segments, each of which does LRU internally)
 *   <li>time-based expiration of entries, measured since last access or last write
 *   <li>keys automatically wrapped in {@code WeakReference}
 *   <li>values automatically wrapped in {@code WeakReference} or {@code SoftReference}
 *   <li>notification of evicted (or otherwise removed) entries

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{endpoint}},{{server}}",
          "refId": "A"
        }
      ],
      "title": "Last Hour Failed Data",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {

        byte[] buffer = new byte[20];
        // File Attributes: 0x0010 (Directory)
        buffer[0] = 0x10;
        buffer[1] = 0x00;
        // Last Write Time (UTime): A sample timestamp in milliseconds
        long sampleTimeMillis = 1672531200000L; // Represents a specific date in milliseconds
        ServerMessageBlock.writeUTime(sampleTimeMillis, buffer, 2);

- This API behavior is limited for following **read** operations on files inside a zip archive:
  - `HeadObject`
  - `GetObject`
  - `ListObjectsV2`
- If the ZIP file directory isn't located within the last 100MB the file will not be parsed.
- A maximum of 100M inside a single zip is allowed. However, a reasonable limit of 100,000 files inside a single ZIP archive is recommended for best performance and memory usage trade-off.

     *
     * @return success count
     */
    public int getSuccessCount() {
        return successCount.get();
    }

    /**
     * Get time since last state change
     *
     * @return milliseconds since last state change
     */
    public long getTimeSinceLastStateChange() {
        return System.currentTimeMillis() - lastStateChangeTime.get();
    }

    /**