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

#include "tensorflow/c/eager/c_api_remote_test_util.h"
#include "tensorflow/core/platform/test.h"

namespace {

void TestRemoteExecuteSilentCopiesFunc(bool async, bool remote,
                                       bool heavy_load_on_streaming_rpc,

              + result);
    } else {
      throw new AssertionError("expected to throw " + expectedThrowable.getSimpleName());
    }
  }

  private enum PlatformSpecificExceptionBatch {
    PLATFORM {
      @GwtIncompatible
      @J2ktIncompatible
      @Override
      // returns the types available in "normal" environments
      ImmutableMap<Class<? extends Throwable>, Predicate<Throwable>> exceptions() {

              + result);
    } else {
      throw new AssertionError("expected to throw " + expectedThrowable.getSimpleName());
    }
  }

  private enum PlatformSpecificExceptionBatch {
    PLATFORM {
      @GwtIncompatible
      @J2ktIncompatible
      @Override
      // returns the types available in "normal" environments
      ImmutableMap<Class<? extends Throwable>, Predicate<Throwable>> exceptions() {

              + result);
    } else {
      throw new AssertionError("expected to throw " + expectedThrowable.getSimpleName());
    }
  }

  private enum PlatformSpecificExceptionBatch {
    PLATFORM {
      @GwtIncompatible
      @J2ktIncompatible
      @Override
      // returns the types available in "normal" environments
      ImmutableMap<Class<? extends Throwable>, Predicate<Throwable>> exceptions() {

#include "tensorflow/c/eager/c_api_unified_experimental.h"
#include "tensorflow/c/tf_datatype.h"
#include "tensorflow/c/tf_status.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/types.h"

namespace tensorflow {

// Represents the results of the execution of an operation.
struct OutputList {
  std::vector<AbstractTensorHandle*> outputs;
  int expected_num_outputs = -1;

              + result);
    } else {
      throw new AssertionError("expected to throw " + expectedThrowable.getSimpleName());
    }
  }

  private enum PlatformSpecificExceptionBatch {
    PLATFORM {
      @GwtIncompatible
      @J2ktIncompatible
      @Override
      // returns the types available in "normal" environments
      ImmutableMap<Class<? extends Throwable>, Predicate<Throwable>> exceptions() {

@Timeout(30)
@Tag("Slowish")
class ConnectionReuseTest {
  @RegisterExtension
  val platform: PlatformRule = PlatformRule()

  @RegisterExtension
  val clientTestRule: OkHttpClientTestRule = OkHttpClientTestRule()

  private lateinit var server: MockWebServer
  private val handshakeCertificates = platform.localhostHandshakeCertificates()
  private var client: OkHttpClient = clientTestRule.newClient()

  @BeforeEach

        testParseOriginal(codePoint, codePointString, encoding, component)
        testParseAlreadyEncoded(codePoint, encoding, component)

        val platform = urlComponentEncodingTesterJvmPlatform(component)
        platform.test(codePoint, codePointString, encoding, component)
      }
    }

  private fun testParseAlreadyEncoded(
    codePoint: Int,
    encoding: Encoding,

#ifndef TENSORFLOW_C_EAGER_GRAPH_FUNCTION_H_
#define TENSORFLOW_C_EAGER_GRAPH_FUNCTION_H_

#include "tensorflow/c/eager/abstract_function.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/platform/refcount.h"
namespace tensorflow {
namespace tracing {
namespace graph {
using tensorflow::AbstractFunction;
// Thin wrapper around a FunctionDef.
class GraphFunction : public AbstractFunction {
 public:

{
    "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
    "license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }