"""
Top-level module of TensorFlow. By convention, we refer to this module as
`tf` instead of `tensorflow`, following the common practice of importing
TensorFlow via the command `import tensorflow as tf`.

The primary function of this module is to import all of the public TensorFlow
interfaces into a single place. The interfaces themselves are located in
sub-modules, as described below.

Bu tür durumlarda bir `Response` parametresi kullanabilirsiniz.

## Bir `Response` parametresi kullanın { #use-a-response-parameter }

*Path operation function* içinde `Response` tipinde bir parametre tanımlayabilirsiniz (cookie ve header'lar için yapabildiğiniz gibi).

Ardından bu *geçici (temporal)* `Response` nesnesi üzerinde `status_code` değerini ayarlayabilirsiniz.

import org.gradle.api.Named;
import org.gradle.api.file.CopySpec;
import org.gradle.api.tasks.Sync;
import org.gradle.api.tasks.TaskProvider;
import org.gradle.api.tasks.bundling.AbstractArchiveTask;

import java.util.function.Supplier;

public class DistributionArchive implements Named {

    private TaskProvider<? extends AbstractArchiveTask> archiveTask;
    private TaskProvider<Sync> expandedDistTask;
    private final String name;

package target

import (
	"sync"
	"sync/atomic"
)

// Inspired from Golang sync.Once but it is only marked
// initialized when the provided function returns nil.

type lazyInit struct {
	done uint32
	m    sync.Mutex
}

func (l *lazyInit) Do(f func() error) error {
	if atomic.LoadUint32(&l.done) == 0 {
		return l.doSlow(f)
	}
	return nil
}

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package sql

import (
	"errors"
	"fmt"
	"strconv"
	"strings"
	"time"
)

// FuncName - SQL function name.
type FuncName string

// SQL Function name constants
const (
	// Conditionals
	sqlFnCoalesce FuncName = "COALESCE"
	sqlFnNullIf   FuncName = "NULLIF"

	// Conversion
	sqlFnCast FuncName = "CAST"

	// Date and time

 */
package org.codelibs.fess.suggest.index.contents;

import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import java.util.function.Function;
import java.util.stream.Stream;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;

Esse código declara um parâmetro de consulta opcional, `q`, com o tipo `str`, e então retorna esse parâmetro.

Isso é bastante simples (e não muito útil), mas irá nos ajudar a focar em como as subdependências funcionam.

## Segunda dependência, "dependable" e "dependente" { #second-dependency-dependable-and-dependant }

import java.util.ArrayList;
import java.util.Collection;
import java.util.Date;
import java.util.Iterator;
import java.util.List;
import java.util.ListIterator;
import java.util.Map;
import java.util.function.Function;

import org.codelibs.fess.opensearch.config.allcommon.EsAbstractEntity.DocMeta;
import org.codelibs.fess.opensearch.config.allcommon.EsAbstractEntity.RequestOptionCall;
import org.dbflute.Entity;

 *
 * `use_function` indicates whether to use graph mode(true) or eager(false).
 *
 * `numerical_grad` is the pointer to the AbstractTensorHandle* which will
 * hold the numerical gradient data at the end of the function.
 */
absl::Status CalcNumericalGrad(AbstractContext* ctx, Model forward,
                               absl::Span<AbstractTensorHandle* const> inputs,
                               int input_index, bool use_function,

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.opensearch.config.exentity;

import java.util.Map;
import java.util.function.Supplier;

import org.codelibs.fess.crawler.client.CrawlerClientFactory;

public class CrawlingConfigWrapper implements CrawlingConfig {

    private final CrawlingConfig crawlingConfig;