* This method creates a new function that caches the results of the original function,
     * improving performance for repeated calls with the same input.
     *
     * @param callback The original function to be memoized. It takes a String as input and returns a String.
     * @return A new {@code Function<String, String>} that caches the results of the original function.

				AlwaysQuote:    false,
			}
			record.WriteCSV(&result, opts)
			result.Truncate(result.Len() - 1)
			result.WriteString(c.recordDelimiter)
		}
		r.Close()
		if err != io.EOF {
			t.Fatalf("Case %d failed with %s", i, err)
		}

		if result.String() != c.content {
			t.Errorf("Case %d failed: expected %v result %v", i, c.content, result.String())
		}
	}
}

type tester interface {

labels.search=Search
labels.similar_doc_result_status=Similar results are displayed.
labels.search_result_status=Results <b>{2}</b><span class="hidden-phone"> -</span> <b>{3}</b> of <b>{1}</b> for <b>{0}</b>
labels.search_result_status_over=Results <b>{2}</b><span class="hidden-phone"> -</span> <b>{3}</b> of about <b>{1}</b> for <b>{0}</b>
labels.search_result_time=({0} sec)

        final Set<Object> mainIdSet = new HashSet<>();
        for (int i = 0; i < results.length; i++) {
            final List<Map<String, Object>> docList = results[i].getDocumentList();
            if (logger.isDebugEnabled()) {
                logger.debug("[{}] {} docs / {} docs.", i, docList.size(), results[i].getAllRecordCount());
            }
            for (int j = 0; j < docList.size(); j++) {

         * results can exceed 2^63.
         */
        long result = times2ToThe32Mod(aHi * bHi /* < 2^62 */, m); // < m < 2^63
        result += aHi * bLo; // aHi * bLo < 2^63, result < 2^64
        if (result < 0) {
          result = UnsignedLongs.remainder(result, m);
        }
        // result < 2^63 again
        result += aLo * bHi; // aLo * bHi < 2^63, result < 2^64

                              TF_DataType value, TF_Status* s);

void TF_DeleteAbstractTensor(TF_AbstractTensor*);

// TF_OutputList holds the list of TF_AbstractTensor that results from executing
// an operation, or provided to create a function.
// When executing an operation in an eager context, the expected number of
// outputs must be set beforehand with `TF_OutputListSetNumOutputs`.

  std::vector<TFE_TensorHandle*> tensors() const {
    std::vector<TFE_TensorHandle*> result;
    result.reserve(tensors_.size());
    for (const TensorHandlePtr& tensor : tensors_) {
      result.emplace_back(tensor.get());
    }
    return result;
  }

 private:
  ParallelTensor(const ParallelDevice& device,
                 std::vector<TensorHandlePtr> tensors,

      if (splitOrNull == null) {
        return null;
      }
      @SuppressWarnings("unchecked")
      F split = (F) splitOrNull;
      S result = createSplit(split, index);
      this.index += split.getExactSizeIfKnown();
      return result;
    }

    @Override
    public long estimateSize() {
      return fromSpliterator.estimateSize();
    }

    @Override

  /**
   * Verify that the listener completes in a reasonable amount of time, and Asserts that the future
   * returns the expected data.
   *
   * @throws Throwable if the listener isn't called or if it resulted in a throwable or if the
   *     result doesn't match the expected value.
   */
  public void assertSuccess(Object expectedData) throws Throwable {
    // Verify that the listener executed in a reasonable amount of time.

   * If [nextPlan] is not-null, another attempt should be made by following it. If [throwable] is
   * non-null, it should be reported to the user should all further attempts fail.
   *
   * The two values are independent: results can contain both (recoverable error), neither
   * (success), just an exception (permanent failure), or just a plan (non-exceptional retry).
   */
  data class ConnectResult(
    val plan: Plan,