//   // forward `op`.
//   return new AddGradientFunction;
// }
//
// Status RegisterGradients(GradientRegistry* registry) {
//   return registry->Register("Add", AddRegisterer);
// }
class GradientFunction {
 public:
  virtual absl::Status Compute(
      AbstractContext* ctx,
      absl::Span<AbstractTensorHandle* const> grad_outputs,

                      ", dtype=", DataType_Name(DataType()),
                      ", type=", FullType().DebugString(), ")");
}

absl::Status AbstractTensorHandle::TensorHandleStatus() const {
  // Tensor handles in current runtime don't carry error info and this method
  // should always return OK status.
  return absl::OkStatus();
}

									{
										Name:          "http",
										ContainerPort: 9080,
									},
								},
							},
							{
								Name: "istio-proxy",
							},
						},
					},
					Status: corev1.PodStatus{
						Phase: corev1.PodRunning,
						ContainerStatuses: []corev1.ContainerStatus{
							{
								Name:  "istio-proxy",
								Ready: true,
							},
						},
					},
				},

package lifecycle

import (
	"bytes"
	"encoding/xml"
)

// Status represents lifecycle configuration status
type Status string

// Supported status types
const (
	Enabled  Status = "Enabled"
	Disabled Status = "Disabled"
)

// Rule - a rule for lifecycle configuration.
type Rule struct {
	XMLName             xml.Name            `xml:"Rule"`

     * injected into the model.
     *
     * @param profiles The profiles whose activation status should be determined, must not be {@code null}.
     * @param context The environmental context used to determine the activation status of a profile, must not be
     *            {@code null}.

        "components": {
            "schemas": {
                "Error": {
                    "title": "Error",
                    "required": ["status", "title"],
                    "type": "object",
                    "properties": {
                        "status": {"title": "Status", "type": "string"},
                        "title": {"title": "Title", "type": "string"},
                    },
                },

        override fun shutdown() = TODO()
      }
  }

  @Test @Ignore
  fun mockResponse() {
    var mockResponse: MockResponse = MockResponse()
    var status: String = mockResponse.status
    status = mockResponse.status
    mockResponse.status = ""
    mockResponse = mockResponse.setResponseCode(0)
    var headers: Headers = mockResponse.headers
    var trailers: Headers = mockResponse.trailers

    return static_cast<tensorflow::DataType>(TF_OperationOutputType(output_));
  }

  absl::Status Shape(tensorflow::PartialTensorShape* shape) const override {
    DCHECK(shape != nullptr);
    TF_Status status;
    int num_dims = TF_GraphGetTensorNumDims(graph_, output_, &status);
    DCHECK_GE(num_dims, -1);
    TF_RETURN_IF_ERROR(StatusFromTF_Status(&status));
    if (num_dims == kUnknownRank) {
      return absl::OkStatus();
    }

  // Returns the device ID which created the handle.
  virtual int DeviceId(absl::Status* status) const = 0;
  // Returns a tensor for the handle. If tensor is remote, it will be copied.
  virtual AbstractTensorInterface* Resolve(absl::Status* status) = 0;

  std::string DebugString() const override;

  // Returns a Boolean hint indicating whether callers should prefer

* The item the client was trying to access doesn't exist.
* etc.

In these cases, you would normally return an **HTTP status code** in the range of **400** (from 400 to 499).

This is similar to the 200 HTTP status codes (from 200 to 299). Those "200" status codes mean that somehow there was a "success" in the request.

The status codes in the 400 range mean that there was an error from the client.