map.put("content", "test content");
            return map;
        }

        @Override
        public org.codelibs.fess.crawler.entity.ResultData transform(org.codelibs.fess.crawler.entity.ResponseData responseData) {
            final org.codelibs.fess.crawler.entity.ResultData resultData = new org.codelibs.fess.crawler.entity.ResultData();

public, and in some countries other activities as well.

  To "convey" a work means any kind of propagation that enables other
parties to make or receive copies.  Mere interaction with a user through
a computer network, with no transfer of a copy, is not conveying.

  An interactive user interface displays "Appropriate Legal Notices"
to the extent that it includes a convenient and prominently visible

   * element.
   */
  public static <F extends @Nullable Object, T extends @Nullable Object> Iterator<T> transform(
      Iterator<F> fromIterator, Function<? super F, ? extends T> function) {
    checkNotNull(function);
    return new TransformedIterator<F, T>(fromIterator) {
      @ParametricNullness
      @Override
      T transform(@ParametricNullness F from) {
        return function.apply(from);
      }
    };
  }

func parsePAX(r io.Reader) (map[string]string, error) {
	buf, err := readSpecialFile(r)
	if err != nil {
		return nil, err
	}
	sbuf := string(buf)

	// For GNU PAX sparse format 0.0 support.
	// This function transforms the sparse format 0.0 headers into format 0.1
	// headers since 0.0 headers were not PAX compliant.
	var sparseMap []string

	paxHdrs := make(map[string]string)
	for len(sbuf) > 0 {

ckground-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out,-webkit-transform .15s ease-in-out;transition:transform .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out;transition:transform .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out,-webkit-transform .15s ease-in-out}@media (prefers-reduced-motion:reduce){.custom-switch .custom-control-label::aft...

		setIndex int
		// Original index from the list of arguments
		// where this object is passed
		origIndex int
		// object to delete
		object ObjectToDelete
	}

	// Transform []delObj to the list of object names
	toNames := func(delObjs []delObj) []ObjectToDelete {
		objs := make([]ObjectToDelete, len(delObjs))
		for i, obj := range delObjs {
			objs[i] = obj.object
		}
		return objs

    protected static int copyInternal(final FileInputStream in, final FileOutputStream out) {
        final FileChannel ic = in.getChannel();
        final FileChannel oc = out.getChannel();
        return (int) ChannelUtil.transfer(ic, oc);
    }

    /**
     * Copies the contents of a reader to a writer.
     * <p>
     * Neither the reader nor the writer is closed.
     * </p>
     *
     * @param in the reader

	SUB	$-2047, X5				// 9382f27f
	SUB	$2048, X5				// 93820280

	SRA	X6, X5, X7				// b3d36240
	SRA	X5, X6					// 33535340
	SRA	$1, X5, X6				// 13d31240
	SRA	$1, X5					// 93d21240

	// 2.5: Control Transfer Instructions
	JAL	X5, 2(PC)				// ef028000
	JALR	X6, (X5)				// 67830200
	JALR	X6, 4(X5)				// 67834200
	BEQ	X5, X6, 2(PC)				// 63846200
	BNE	X5, X6, 2(PC)				// 63946200
	BLT	X5, X6, 2(PC)				// 63c46200

{position:absolute;top:0;left:0;z-index:2;height:100%;padding:1rem .75rem;overflow:hidden;text-align:start;text-overflow:ellipsis;white-space:nowrap;pointer-events:none;border:var(--bs-border-width) solid transparent;transform-origin:0 0;transition:opacity .1s ease-in-out,transform .1s ease-in-out}@media (prefers-reduced-motion:reduce){.form-floating>label{transition:none}}.form-floating>.form-control,.form-floating>.form-control-plaintext{padding:1rem .75rem}.form-floating>.form-control-plainte...

    distributing datasets. For this to work, the dispatcher's `work_dir` must be
    accessible from workers. If the worker fails to read from the `work_dir`, it
    falls back to using RPC for dataset graph transfer.
*   Adds support for a new "distributed_epoch" processing mode. This processing
    mode distributes a dataset across all tf.data workers, instead of having
    each worker process the full dataset. See