ListPodSandbox(ctx context.Context, runtimeService criapi.RuntimeService, filter *runtimeapi.PodSandboxFilter) ([]*runtimeapi.PodSandbox, error)
	StopPodSandbox(ctx context.Context, runtimeService criapi.RuntimeService, sandboxID string) error
	RemovePodSandbox(ctx context.Context, runtimeService criapi.RuntimeService, podSandboxID string) error

	SandboxImage() (string, error)
}

// CRIRuntime is a struct that interfaces with the CRI
type CRIRuntime struct {
	impl           impl
	criSocket      string
	runtimeService criapi.RuntimeService
	imageService   criapi.ImageManagerService
}

// defaultTimeout is the default timeout inherited by crictl
const defaultTimeout = 2 * time.Second

// NewContainerRuntime sets up and returns a ContainerRuntime struct

#ifndef TENSORFLOW_C_EAGER_C_API_H_
#define TENSORFLOW_C_EAGER_C_API_H_

// C API extensions to experiment with eager execution of kernels.
// WARNING: Unlike tensorflow/c/c_api.h, the API here is not guaranteed to be
// stable and can change without notice.

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_macros.h"

#ifdef __cplusplus
extern "C" {
#endif

typedef struct TFE_ContextOptions TFE_ContextOptions;

Foi criado para gerar HTML no _backend_, não para criar APIs utilizando um _frontend_ moderno (como React, Vue.js e Angular) ou por outros sistemas (como dispositivos <abbr title="Internet das Coisas">IoT</abbr>) comunicando com ele.

### <a href="https://www.django-rest-framework.org/" class="external-link" target="_blank">Django REST Framework</a>

limitations under the License.
==============================================================================*/

#include "tensorflow/c/experimental/next_pluggable_device/c_api.h"

#include <cstdint>
#include <cstdlib>
#include <memory>
#include <string>
#include <string_view>
#include <utility>
#include <vector>

#include "absl/status/status.h"

==============================================================================*/

#include "tensorflow/c/eager/c_api.h"

#include <algorithm>
#include <cstddef>
#include <cstdint>
#include <memory>
#include <string>
#include <utility>
#include <vector>

#include "absl/algorithm/container.h"
#include "absl/memory/memory.h"
#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_internal.h"

Este será o principal ponto de interação para criar toda a sua API.

Este `app` é o mesmo referenciado por `uvicorn` no comando:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

Se você criar a sua aplicação como:

```Python hl_lines="3"

Sally O'Malley <******@****.***> 1633871847 -0400

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

#include "tensorflow/c/c_api.h"

#include <algorithm>
#include <cstring>
#include <limits>
#include <memory>
#include <optional>
#include <unordered_set>
#include <utility>
#include <vector>

#include "absl/strings/match.h"

}

TEST(CAPI, RemoteExecuteSilentCopies) {
  TestRemoteExecuteSilentCopiesOp(/*async=*/false, /*remote=*/true);
}
TEST(CAPI, RemoteExecuteSilentCopiesAsync) {
  TestRemoteExecuteSilentCopiesOp(/*async=*/true, /*remote=*/true);
}
TEST(CAPI, RemoteExecuteSilentCopiesLocal) {
  TestRemoteExecuteSilentCopiesOp(/*async=*/false, /*remote=*/false);
}
TEST(CAPI, RemoteExecuteSilentCopiesLocalAsync) {