output_tensors, output_names_vec, control_output_nodes,
      control_output_names_vec, description, &fdef);
  if (TF_GetCode(status) != TF_OK) {
    return nullptr;
  }

  // Dump the op creation stacktraces for debugging purpose.
  DEBUG_DATA_DUMPER()->DumpOpCreationStackTraces(
      fn_name, kDebugGroupOpStacktrace, "initial", &fn_body->graph);

  tensorflow::StackTracesMap stack_traces;

        if (mimeType == null) {
            return true;
        }

        return switch (mimeType) {
        case "image/png", "image/gif", "image/jpeg", "image/bmp" -> true;
        default -> false;
        };
    }

    /**
     * Processes and saves an image from the input stream to the output file as a thumbnail.
     *

labels.crawling_info_delete_all_link=Alles verwijderen
labels.crawling_info_delete_all_confirmation=Weet u zeker dat u alles wilt verwijderen?
labels.crawling_info_delete_all_cancel=Annuleren
labels.crawling_info_thread_dump=Thread-dump
labels.crawling_info_CrawlerStartTime=Starttijd crawler
labels.crawling_info_CrawlerEndTime=Eindtijd crawler
labels.crawling_info_CrawlerExecTime=Uitvoeringstijd crawler
labels.crawling_info_CrawlerStatus=Crawlerstatus

have different security properties and provide different levels of confidence
when dealing with untrusted data. Based on the security history of these
libraries we consider that it is safe to work with untrusted inputs for PNG,
BMP, GIF, WAV, RAW, RAW\_PADDED, CSV and PROTO formats. All other input formats,
including tensorflow-io should be sandboxed if used to process untrusted data.

For example, if an attacker were to upload a malicious video file, they could

    void testHexdumpWithOffset() {
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        PrintStream ps = new PrintStream(baos);

        // Create test data and dump from offset
        byte[] data = createTestData(64);
        int offset = 16;
        int length = 32;

        Hexdump.hexdump(ps, data, offset, length);
        String output = baos.toString();

  /* image types */
  /**
   * <a href="https://en.wikipedia.org/wiki/BMP_file_format">Bitmap file format</a> ({@code bmp}
   * files).
   *
   * @since 13.0
   */
  public static final MediaType BMP = createConstant(IMAGE_TYPE, "bmp");

  /**
   * The <a href="https://en.wikipedia.org/wiki/Camera_Image_File_Format">Canon Image File

func waitForHTTPStream(respBody io.ReadCloser, w io.Writer) error {
	var tmp [1]byte
	// 8K copy buffer, reused for less allocs...
	bufp := poolBuf8k.Get()
	buf := *bufp
	defer poolBuf8k.Put(bufp)

	for {
		_, err := io.ReadFull(respBody, tmp[:])
		if err != nil {
			return err
		}
		// Check if we have a response ready or a filler byte.
		switch tmp[0] {

	"time"
)

func bytediff(a, b []byte) string {
	const (
		uniqueA  = "-  "
		uniqueB  = "+  "
		identity = "   "
	)
	var ss []string
	sa := strings.Split(strings.TrimSpace(hex.Dump(a)), "\n")
	sb := strings.Split(strings.TrimSpace(hex.Dump(b)), "\n")
	for len(sa) > 0 && len(sb) > 0 {
		if sa[0] == sb[0] {
			ss = append(ss, identity+sa[0])
		} else {
			ss = append(ss, uniqueA+sa[0])
			ss = append(ss, uniqueB+sb[0])
		}

### Bug or Regression

labels.crawling_info_delete_all_link=Delete All
labels.crawling_info_delete_all_confirmation=Are you sure you want to delete all?
labels.crawling_info_delete_all_cancel=Cancel
labels.crawling_info_thread_dump=Thread Dump
labels.crawling_info_CrawlerStartTime=Crawler Start Time
labels.crawling_info_CrawlerEndTime=Crawler End Time
labels.crawling_info_CrawlerExecTime=Crawler Execution Time
labels.crawling_info_CrawlerStatus=Crawler Status