/**
     * Pipe operations should behave like the <code>CallNamedPipe</code> Win32 Named Pipe function.
     */

    int PIPE_TYPE_CALL = 0x0100;

    /**
     * Pipe operations should behave like the <code>TransactNamedPipe</code> Win32 Named Pipe function.
     */

    int PIPE_TYPE_TRANSACT = 0x0200;

    /**
     * Pipe is used for DCE
     */

#define TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_

// Run a function containing a MatMul op and check its output.
// If heavy_load_on_streaming_rpc is true, send some rpc requests before the one
// which creates a remote input, to simulate a scenario that the remote input
// is not ready when we start running an op or a function.
void TestRemoteExecuteSilentCopies(bool async, bool remote, bool func,

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.collect;

import com.google.common.base.Function;
import com.google.common.testing.ForwardingWrapperTester;
import java.util.Deque;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Tests for {@code ForwardingDeque}.
 *

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.collect;

import com.google.common.base.Function;
import com.google.common.testing.ForwardingWrapperTester;
import java.util.ListIterator;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**

但如果你知道在从 *路径操作函数* 返回之后不再需要使用该依赖，你可以使用 `Depends(scope="function")` 告诉 FastAPI：应当在 *路径操作函数* 返回后、但在**响应发送之前**关闭该依赖。

{* ../../docs_src/dependencies/tutorial008e_an_py310.py hl[12,16] *}

`Depends()` 接收一个 `scope` 参数，可为：

* `"function"`：在处理请求的 *路径操作函数* 之前启动依赖，在 *路径操作函数* 结束后结束依赖，但在响应发送给客户端**之前**。因此，依赖函数将围绕这个*路径操作函数*执行。
* `"request"`：在处理请求的 *路径操作函数* 之前启动依赖（与使用 `"function"` 时类似），但在响应发送给客户端**之后**结束。因此，依赖函数将围绕这个**请求**与响应周期执行。

         *
         * @param <CREDENTIAL> the credential type
         * @param credentialType the class of the credential type
         * @param oneArgLambda the function to apply for credential resolution
         */
        public <CREDENTIAL extends LoginCredential> void resolve(final Class<CREDENTIAL> credentialType,

# Mevcut Kullanıcıyı Alma { #get-current-user }

Önceki bölümde güvenlik sistemi (dependency injection sistemine dayanır) *path operation function*'a `str` olarak bir `token` veriyordu:

{* ../../docs_src/security/tutorial001_an_py310.py hl[12] *}

Ancak bu hâlâ pek kullanışlı değil.

Bize mevcut kullanıcıyı verecek şekilde düzenleyelim.

## Bir kullanıcı modeli oluşturun { #create-a-user-model }

Önce bir Pydantic kullanıcı modeli oluşturalım.

}

// Set - sets a metric value along with any provided labels. It is used only
// with Gauge and Counter metrics.
//
// If the MetricName given here is not present in the `MetricsGroup`'s
// descriptors, this function panics.
//
// Panics if `labels` is not a list of ordered label name and label value pairs
// or if all labels for the metric are not provided.
func (m *MetricValues) Set(name MetricName, value float64, labels ...string) {

	r.Targets = replicationStatusesMap(rstatus)
	return r
}

// SetEvalMetadataFn sets the metadata evaluation function
func (o *ObjectOptions) SetEvalMetadataFn(f EvalMetadataFn) {
	o.EvalMetadataFn = f
}

// SetEvalRetentionBypassFn sets the retention bypass function
func (o *ObjectOptions) SetEvalRetentionBypassFn(f EvalRetentionBypassFn) {
	o.EvalRetentionBypassFn = f
}

## `Request` nesnesini doğrudan kullanın { #use-the-request-object-directly }

*Path operation function* içinde client'ın IP adresini/host'unu almak istediğinizi düşünelim.

Bunun için request'e doğrudan erişmeniz gerekir.

{* ../../docs_src/using_request_directly/tutorial001_py310.py hl[1,7:8] *}

Tipi `Request` olan bir *path operation function* parameter'ı tanımladığınızda **FastAPI**, o parameter'a `Request` nesnesini geçmesi gerektiğini anlar.