Spliterator<? extends T> splitr = stream.spliterator();
      splitrsBuilder.add(splitr);
      characteristics &= splitr.characteristics();
      estimatedSize = LongMath.saturatedAdd(estimatedSize, splitr.estimateSize());
    }
    return StreamSupport.stream(
            CollectSpliterators.flatMap(
                splitrsBuilder.build().spliterator(),
                splitr -> (Spliterator<T>) splitr,

      Spliterator<? extends T> splitr = stream.spliterator();
      splitrsBuilder.add(splitr);
      characteristics &= splitr.characteristics();
      estimatedSize = LongMath.saturatedAdd(estimatedSize, splitr.estimateSize());
    }
    return StreamSupport.stream(
            CollectSpliterators.flatMap(
                splitrsBuilder.build().spliterator(),
                splitr -> (Spliterator<T>) splitr,

    return strategy.iterator(this, sequence);
  }

  /**
   * Splits {@code sequence} into string components and returns them as an immutable list. If you
   * want an {@link Iterable} which may be lazily evaluated, use {@link #split(CharSequence)}.
   *
   * @param sequence the sequence of characters to split
   * @return an immutable list of the segments split from the parameter
   * @since 15.0
   */

	return genSplit(s, sep, len(sep), n)
}

// Split slices s into all subslices separated by sep and returns a slice of
// the subslices between those separators.
// If sep is empty, Split splits after each UTF-8 sequence.
// It is equivalent to SplitN with a count of -1.
//
// To split around the first instance of a separator, see [Cut].
func Split(s, sep []byte) [][]byte { return genSplit(s, sep, 0, -1) }

   *                    v
   */
  // Define
  TF_Operation* feed = Placeholder(func_graph_, s_);
  TF_Operation* split = Split3(feed, func_graph_, s_);
  TF_Operation* add = Add({split, 0}, {split, 2}, func_graph_, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  DefineT(1, {add}, {{split, 0}, {split, 2}}, {{add, 0}}, {});

  // Use, run, and verify
  TF_Operation* two = ScalarConst(2, host_graph_, s_, "two");

	creds := strings.SplitN(strings.TrimSpace(credElement), "=", 2)
	if len(creds) != 2 {
		return ch, ErrMissingFields
	}
	if creds[0] != "Credential" {
		return ch, ErrMissingCredTag
	}
	credElements := strings.Split(strings.TrimSpace(creds[1]), SlashSeparator)
	if len(credElements) < 5 {
		return ch, ErrCredMalformed
	}

	// Authorization = "AWS" + " " + AWSAccessKeyId + ":" + Signature
	authFields := strings.Split(r.Header.Get(xhttp.Authorization), " ")
	if len(authFields) != 2 {
		return auth.Credentials{}, false, ErrMissingFields
	}

	// Then will be splitting on ":", this will separate `AWSAccessKeyId` and `Signature` string.
	keySignFields := strings.Split(strings.TrimSpace(authFields[1]), ":")
	if len(keySignFields) != 2 {

	buf := debug.Stack()
	// runtime stack of go routines will be listed with 2 blank spaces between each of them, so split on "\n\n" .
	for _, g := range strings.Split(string(buf), "\n\n") {
		// Again split on a new line, the first line of the second half contains the info about the go routine.
		sl := strings.SplitN(g, "\n", 2)
		if len(sl) != 2 {
			continue
		}
		stack := strings.TrimSpace(sl[1])

	}
	for _, v := range os.Environ() {
		if !strings.HasPrefix(v, "MINIO") && !strings.HasPrefix(v, "_MINIO") {
			continue
		}
		split := strings.SplitN(v, "=", 2)
		key := split[0]
		value := ""
		if len(split) > 1 {
			value = split[1]
		}

		// Do not send sensitive creds.

TF_Operation* RandomUniform(TF_Operation* shape, TF_DataType dtype,
                            TF_Graph* graph, TF_Status* s);

// Split `input` along the first dimension into 3 tensors
TF_Operation* Split3(TF_Operation* input, TF_Graph* graph, TF_Status* s,
                     const char* name = "split3");

bool IsPlaceholder(const tensorflow::NodeDef& node_def);

bool IsScalarConst(const tensorflow::NodeDef& node_def, int v);