Request((mockServer.secureEndpoint + "/person?name=peter").toHttpUrl()),
        ).execute()

      assertThat(response.body.string()).contains("Peter the person")
      assertThat(response.protocol).isEqualTo(Protocol.HTTP_1_1)
    }
  }

  @Test
  fun testUrlConnectionDirect() {
    testRequest {
      val url = URI(mockServer.endpoint + "/person?name=peter").toURL()

  if (VLOG_IS_ON(1) && status->status.ok()) {
    tensorflow::Tensor tensor;
    if (tensorflow::TF_TensorToTensor(ret, &tensor).ok()) {
      VLOG(1) << "Dequeued tensor content: " << tensor.DebugString();
    }
  }
  return ret;
}

void TF_EnqueueNamedTensor(TF_Session* session, int tensor_id,
                           TF_Tensor* tensor, TF_Status* status) {
  assert(session);
  {

    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
    TF_Tensor* expected_out0 = expected_csession->output_tensor(0);
    TF_Tensor* expected_out1 = expected_csession->output_tensor(1);

    CompareTensors(out0, expected_out0);
    CompareTensors(out1, expected_out1);
  }

  void CompareTensors(TF_Tensor* a, TF_Tensor* b) {
    float* a_data = static_cast<float*>(TF_TensorData(a));

    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)))

        .`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):

			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 {

        .`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() {

#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/partial_tensor_shape.h"
#include "tensorflow/core/framework/shape_inference.h"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/tensor.pb.h"  // NOLINT
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/tensor_shape.pb.h"
#include "tensorflow/core/framework/types.h"

        ],
    }),
)

cc_library(
    name = "immediate_execution_tensor_handle",
    srcs = ["immediate_execution_tensor_handle.cc"],
    hdrs = ["immediate_execution_tensor_handle.h"],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        ":abstract_tensor_handle",
        "//tensorflow/c:tensor_interface",
        "//tensorflow/core:framework",
        "//tensorflow/core:lib",