tensorflow::EvaluateConstantTensorRunner{
          graph->graph.op_registry(),
          graph->graph.versions().producer(),
      });
  if (!status_or.ok() || !status_or->has_value()) {
    *result = nullptr;
    status->status = std::move(status_or).status();
    return false;
  }
  *result = TF_TensorFromTensor(**status_or, &status->status);
  return status->status.ok();
}

    assertThat(readAscii(gunzippedIn, Int.MAX_VALUE)).isEqualTo("one (gzipped)")
    assertThat(server.takeRequest().exchangeIndex).isEqualTo(0)
    val response2 =
      getResponse(
        Request
          .Builder()
          .url(server.url("/"))
          .build(),
      )
    assertThat(readAscii(response2.body.byteStream(), Int.MAX_VALUE)).isEqualTo("two (identity)")

      checkMaximumSize(4, 8, maxSize);
      checkMaximumSize(8, 8, maxSize);
    }

    checkMaximumSize(1, 8, Long.MAX_VALUE);
    checkMaximumSize(2, 8, Long.MAX_VALUE);
    checkMaximumSize(4, 8, Long.MAX_VALUE);
    checkMaximumSize(8, 8, Long.MAX_VALUE);

    // vary initial capacity wrt maximumSize

    for (int capacity = 0; capacity < 8; capacity++) {
      checkMaximumSize(1, capacity, 4);

  @BeforeEach
  fun setUp() {
    platform.assumeNotOpenJSSE()
    server.protocolNegotiationEnabled = false
    fileSystem.emulateUnix()
    cache = Cache(fileSystem, "/cache/".toPath(), Long.MAX_VALUE)
    client =
      clientTestRule
        .newClientBuilder()
        .cache(cache)
        .cookieJar(JavaNetCookieJar(cookieManager))
        .build()
  }

  @AfterEach
  fun tearDown() {

      .build()
  private val callback = RecordingCallback()
  private val cache =
    Cache(
      fileSystem = LoggingFilesystem(fileSystem),
      directory = "/cache".toPath(),
      maxSize = Int.MAX_VALUE.toLong(),
    )

  @BeforeEach
  fun setUp() {
    platform.assumeNotOpenJSSE()
  }

  @AfterEach
  fun tearDown() {
    cache.close()
    fileSystem.checkNoOpenFiles()
  }