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);

       {{func_op, 0}, {func_op, 1}}, {{1, 2}, {5, 6}});
  VerifyFDef({"split3_const0", "split3_1"}, M({{"feed"}}),
             M({{"split3"}, {"split3_0"}}),
             {{"split3_const0:output:0", "split3_1:0"},
              {"feed", "split3_1:1"},
              {"split3_1:output:0", "split3"},
              {"split3_1:output:2", "split3_0"}},
             {});
}

TEST_F(CApiFunctionTest, UsingTwoOutputsOfSplitAsInputs) {

  TF_OperationDescription* desc = TF_NewOperation(graph, "Split", name);
  TF_AddInput(desc, {zero, 0});
  TF_AddInput(desc, {input, 0});
  TF_SetAttrInt(desc, "num_split", 3);
  TF_SetAttrType(desc, "T", TF_INT32);
  // Set device to CPU since there is no version of split for int32 on GPU
  // TODO(iga): Convert all these helpers and tests to use floats because

      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,

	// U+0068 'h'
	// U+0065 'e'
	// U+0072 'r'
}

func ExampleSplit() {
	fmt.Printf("%q\n", bytes.Split([]byte("a,b,c"), []byte(",")))
	fmt.Printf("%q\n", bytes.Split([]byte("a man a plan a canal panama"), []byte("a ")))
	fmt.Printf("%q\n", bytes.Split([]byte(" xyz "), []byte("")))
	fmt.Printf("%q\n", bytes.Split([]byte(""), []byte("Bernardo O'Higgins")))
	// Output:
	// ["a" "b" "c"]
	// ["" "man " "plan " "canal panama"]

	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) }

    }

    /**
     * Splits the given string into an array of substrings based on the specified regular expression
     * and returns a stream of those substrings.
     *
     * @param value the string to be split; if {@code null}, the method returns an empty stream
     * @param regex the regular expression to use for splitting the string

	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.TrimRight(strings.TrimSpace(creds[1]), SlashSeparator), SlashSeparator)
	if len(credElements) < 5 {

	}
	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.