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);

    }

    /**
     * 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.

	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.SplitSeq(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])

    /**
     *
     * @return next chained message
     */
    @Override
    CommonServerMessageBlockRequest getNext();

    /**
     * Splits this request for processing.
     *
     * @return the following message
     */
    CommonServerMessageBlockRequest split();

    /**
     * Gets the size of this message.
     *
     * @return the size of this message
     */
    int size();

    /**

	// the ARN would not match any configured ARNs in the server.
	if ps[4] != "" {
		err = errors.New("invalid ARN - unsupported account-id field")
		return arn, err
	}

	res := strings.SplitN(ps[5], "/", 2)
	if len(res) != 2 {
		err = errors.New("invalid ARN - resource does not contain a \"/\"")
		return arn, err
	}

	if res[0] != string(arnResourceTypeRole) {

module gorm.io/gorm

go 1.18

require (
	github.com/jinzhu/inflection v1.0.0
	github.com/jinzhu/now v1.1.5
	golang.org/x/text v0.20.0
)

require (
	github.com/mattn/go-sqlite3 v1.14.22 // indirect
	gorm.io/driver/sqlite v1.6.0 // indirect

	github.com/jinzhu/now v1.1.5
	github.com/lib/pq v1.10.9
	github.com/stretchr/testify v1.11.1
	gorm.io/driver/gaussdb v0.1.0
	gorm.io/driver/mysql v1.6.0
	gorm.io/driver/postgres v1.6.0
	gorm.io/driver/sqlite v1.6.0
	gorm.io/driver/sqlserver v1.6.1
	gorm.io/gorm v1.31.0
)

require (
	filippo.io/edwards25519 v1.1.0 // indirect
	github.com/HuaweiCloudDeveloper/gaussdb-go v1.0.0-rc1 // indirect

	// Set the split function for the scanning operation.
	scanner.Split(bufio.ScanWords)
	// Count the words.
	count := 0
	for scanner.Scan() {
		count++
	}
	if err := scanner.Err(); err != nil {
		fmt.Fprintln(os.Stderr, "reading input:", err)
	}
	fmt.Printf("%d\n", count)
	// Output: 15
}

// Use a Scanner with a custom split function (built by wrapping ScanWords) to validate