validateApi(body, messages -> {});
        final AccessTokenPager pager = copyBeanToNewBean(body, AccessTokenPager.class);
        final List<AccessToken> list = accessTokenService.getAccessTokenList(pager);
        return asJson(new ApiConfigsResponse<EditBody>().settings(list.stream().map(this::createEditBody).collect(Collectors.toList()))
                .total(pager.getAllRecordCount()).status(Status.OK).result());
    }

#include <memory>
#include <string>

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_experimental.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/eager/parallel_device/parallel_device.h"
#include "tensorflow/c/eager/parallel_device/parallel_device_testlib.h"
#include "tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h"
#include "tensorflow/core/platform/test.h"

# Alternatifler, İlham Kaynakları ve Karşılaştırmalar

**FastAPI**'ya neler ilham verdi? Diğer alternatiflerle karşılaştırıldığında farkları neler? **FastAPI** diğer alternatiflerinden neler öğrendi?

## Giriş

Başkalarının daha önceki çalışmaları olmasaydı, **FastAPI** var olmazdı.

Geçmişte oluşturulan pek çok araç **FastAPI**'a ilham kaynağı olmuştur.

#ifndef TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_GRAD_TEST_HELPER_H_
#define TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_GRAD_TEST_HELPER_H_

#include "tensorflow/c/eager/gradients.h"
#include "tensorflow/c/eager/unified_api_testutil.h"

namespace tensorflow {
namespace gradients {
namespace internal {

void CompareNumericalAndAutodiffGradients(
    Model model, Model grad_model, AbstractContext* ctx,

limitations under the License.
==============================================================================*/
#include "tensorflow/c/eager/graph_function.h"

#include <utility>

#include "tensorflow/c/eager/abstract_function.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {
namespace tracing {
namespace graph {

#include <memory>
#include <vector>

#include "absl/types/span.h"
#include "tensorflow/c/eager/immediate_execution_context.h"
#include "tensorflow/c/eager/immediate_execution_tensor_handle.h"
#include "tensorflow/core/common_runtime/device_mgr.h"
#include "tensorflow/core/common_runtime/eager/context.h"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/types.h"

        assertThat(
            force(value),
            equalTo("after")
        )
    }

    protected
    fun <T : Any> assertEagerEvaluationOf(eager: T, extract: T.() -> Any?) {
        Runtime.value = "before"
        val value = configurationCacheRoundtripOf(eager)

        Runtime.value = "after"
        assertThat(
            extract(value),
            equalTo("before")
        )
    }

                                <c:set var="pager" value="${webConfigPager}" scope="request"/>
                                <c:import url="/WEB-INF/view/common/admin/crud/pagination.jsp"/>
                                <c:if test="${pager.currentPageNumber > pager.allPageCount}">
                                    <script>location.href = "${contextPath}/admin/webconfig/list/${pager.allPageCount}";</script>

#include "tensorflow/c/eager/c_api_internal.h"
#include "tensorflow/c/eager/immediate_execution_operation.h"
#include "tensorflow/c/eager/immediate_execution_tensor_handle.h"
#include "tensorflow/c/eager/tfe_context_internal.h"
#include "tensorflow/c/eager/tfe_op_internal.h"
#include "tensorflow/c/eager/tfe_tensorhandle_internal.h"
#include "tensorflow/c/tf_buffer_internal.h"
#include "tensorflow/c/tf_status.h"

#ifndef TENSORFLOW_C_EXPERIMENTAL_SAVED_MODEL_CORE_REVIVED_TYPES_ASSET_H_
#define TENSORFLOW_C_EXPERIMENTAL_SAVED_MODEL_CORE_REVIVED_TYPES_ASSET_H_

#include <string>

#include "tensorflow/c/eager/immediate_execution_context.h"
#include "tensorflow/c/eager/immediate_execution_tensor_handle.h"
#include "tensorflow/c/experimental/saved_model/core/revived_types/tensorhandle_convertible.h"
#include "tensorflow/c/tensor_interface.h"