code: def _generate_examples(self, archive):
      
      num_skipped = 0
      for fname, fobj in archive:
        res = _NAME_RE.match(fname)
        if not res:  # README file, ...
          continue
        label = res.group(1).lower()
        if tf.compat.as_bytes("JFIF") not in fobj.peek(10):
          num_skipped += 1
          continue
        yield {
            "image": fobj,
            "image/filename": fname,
            "label": label,
        }
  
      if num_skipped != _NUM_CORRUPT_IMAGES:
        raise ValueError("Expected %d corrupt images, but found %d" % (
            _NUM_CORRUPT_IMAGES, num_skipped))
      logging.warning("%d images were corrupted and were skipped", num_skipped)
docs: Generate Cats vs Dogs images and labels given a directory path.