.`when`(
          request().withPath("/person")
            .withQueryStringParameter("name", "peter"),
        )
        .respond(response().withBody("Peter the person!"))

      val results =
        (1..20).map {
          executor.submit {
            val response =
              client.newCall(Request((mockServer.secureEndpoint + "/person?name=peter").toHttpUrl())).execute()

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):

  TF_Tensor* tensor =
      TF_AllocateTensor(TF_FLOAT, dims.data(), dims.size(), sizeof(float));
  float tensor_data[] = {1};
  memcpy(TF_TensorData(tensor), tensor_data, TF_TensorByteSize(tensor));
  TFE_TensorHandle* tensor_handle = TFE_NewTensorHandle(tensor, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_OpAddInput(op, tensor_handle, status);
  TF_DeleteTensor(tensor);

			Name:     mwc.Name,
			Revision: rev,
			Injected: injected,
			Reason:   reason,
		})
	}
	sort.Slice(results, func(i, j int) bool {
		return results[i].Name < results[j].Name
	})
	return results
}

func analyzeWebhooksMatchStatus(whs []admitv1.MutatingWebhook, podLabels, nsLabels map[string]string) (reason string, injected bool) {
	for _, wh := range whs {

  ASSERT_EQ(errors::OK, s.code()) << s.message();

  TF_Tensor* result_tensor;
  s = GetValue(outputs[0], &result_tensor);
  ASSERT_EQ(errors::OK, s.code()) << s.message();
  auto result_value = static_cast<float*>(TF_TensorData(result_tensor));
  EXPECT_EQ(*result_value, 1.0);
  outputs[0]->Unref();
  TF_DeleteTensor(result_tensor);
  result_tensor = nullptr;
}

INSTANTIATE_TEST_SUITE_P(

                """
            ),
        ],
        reason: Annotated[
            Union[str, None],
            Doc(
                """
                The reason to close the WebSocket connection.

                It is UTF-8-encoded data. The interpretation of the reason is up to the
                application, it is not specified by the WebSocket specification.

        .`when`(
          request().withPath("/person")
            .withQueryStringParameter("name", "peter"),
        )
        .respond(response().withBody("Peter the person!"))

      val response = client.newCall(Request((mockServer.endpoint + "/person?name=peter").toHttpUrl())).execute()

      assertThat(response.body.string()).contains("Peter the person")
    }
  }

  @Test
  fun testHttpsRequest() {

     *
     * @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);

  const int num_bytes = sizeof(float);
  float* values = new float[1];
  values[0] = v;
  std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> tensor(
      TF_NewTensor(TF_FLOAT, nullptr, 0, values, num_bytes, &FloatDeallocator,
                   nullptr),
      TF_DeleteTensor);
  return TensorHandlePtr(TFE_NewTensorHandle(tensor.get(), status));
}

// Creates a rank-one TFE_TensorHandle with value `v`.

  std::vector<int64_t> tensor_ids(tensors.size());
  std::vector<tensorflow::DataType> tensor_dtypes(tensors.size());
  for (int i = 0; i < tensors.size(); i++) {
    tensor_ids[i] = ToId(tensors[i]);
    tensor_dtypes[i] = tensors[i]->DataType();
  }
  return GradientTape::ShouldRecord(tensor_ids, tensor_dtypes);
}
void Tape::DeleteTrace(const AbstractTensorHandle* t) {