ExitCode: constants.ValidationErrorCode,
				Reason:   "Error",
				Message:  "Died for some reason",
			},
		},
	}

	brokenInitContainerTerminating = corev1.ContainerStatus{
		Name: constants.ValidationContainerName,
		State: corev1.ContainerState{
			Terminated: &corev1.ContainerStateTerminated{
				ExitCode: constants.ValidationErrorCode,
				Reason:   "Error",
				Message:  "Died for some reason",
			},

from .utils import needs_pydanticv1, needs_pydanticv2


class Person:
    def __init__(self, name: str):
        self.name = name


class Pet:
    def __init__(self, owner: Person, name: str):
        self.owner = owner
        self.name = name


@dataclass
class Item:
    name: str
    count: int


class DictablePerson(Person):
    def __iter__(self):

    TFE_TensorHandle* h, TF_Status* status) {
  tensorflow::TensorHandle* handle =
      TensorHandleFromInterface(tensorflow::unwrap(h));
  const tensorflow::Tensor* tensor;
  status->status = handle->Tensor(&tensor);
  if (!status->status.ok()) {
    return nullptr;
  }

  std::vector<int64_t> dev_dims = TensorShapeAsVector(*handle, &status->status);
  if (!status->status.ok()) {
    return nullptr;

    MockServerClient(mockServer.host, mockServer.serverPort).use { mockServerClient ->
      mockServerClient
        .`when`(
          request().withPath("/person")
            .withQueryStringParameter("name", "peter"),
        )
        .respond(response().withBody("Peter the person!"))

      val client =
        OkHttpClient.Builder()
          .proxy(Proxy(SOCKS, InetSocketAddress(socks5Proxy.host, socks5Proxy.firstMappedPort)))

  override fun close(
    code: Int,
    reason: String?,
  ): Boolean {
    return close(code, reason, webSocketCloseTimeout)
  }

  @Synchronized fun close(
    code: Int,
    reason: String?,
    cancelAfterCloseMillis: Long,
  ): Boolean {
    validateCloseCode(code)

    var reasonBytes: ByteString? = null
    if (reason != null) {
      reasonBytes = reason.encodeUtf8()

    assertThat(nextEvent()).isEqualTo(Pong(payload))
  }

  fun assertClosing(
    code: Int,
    reason: String,
  ) {
    assertThat(nextEvent()).isEqualTo(Closing(code, reason))
  }

  fun assertClosed(
    code: Int,
    reason: String,
  ) {
    assertThat(nextEvent()).isEqualTo(Closed(code, reason))
  }

  fun assertExhausted() {
    assertThat(events).isEmpty()
  }

typedef enum TFE_ContextDevicePlacementPolicy {
  // Running operations with input tensors on the wrong device will fail.
  TFE_DEVICE_PLACEMENT_EXPLICIT = 0,
  // Copy the tensor to the right device but log a warning.
  TFE_DEVICE_PLACEMENT_WARN = 1,
  // Silently copy the tensor, which has a performance cost since the operation
  // will be blocked till the copy completes. This is the default placement
  // policy.
  TFE_DEVICE_PLACEMENT_SILENT = 2,

     *
     * @throws RuntimeException If PUT fails for any reason.
     */
    void put(@Nonnull Path source, @Nonnull URI relativeTarget);

    /**
     * PUTs the source byte array to target URI. The target MUST BE relative from the
     * {@link RemoteRepository#getUrl()} root.
     *
     * @throws RuntimeException If PUT fails for any reason.
     */
    void putBytes(@Nonnull byte[] source, @Nonnull URI relativeTarget);

#ifndef TENSORFLOW_C_EAGER_DLPACK_H_
#define TENSORFLOW_C_EAGER_DLPACK_H_

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

namespace tensorflow {

// PyCapsule name for DLPack Tensor
const char* const kDlTensorCapsuleName = "dltensor";

// Converts eager tensor handle to DLPack (DLManagedTensor*), and return the
// void* for further PyCapsule construction.
TF_CAPI_EXPORT extern void* TFE_HandleToDLPack(TFE_TensorHandle* h,

  // ops are implemented.
  //===--------------------------------------------------------------------===//
  // Create an abstract tensor handle from tensorflow::Tensor.
  virtual ImmediateExecutionTensorHandle* CreateLocalHandleFromTFTensor(
      tensorflow::Tensor& t, const char* d_name) = 0;

  // Convert a TFRT TensorHandle to tensorflow::TensorHandle.