* `openIdConnect`: OAuth2 authentication verisinin otomatik olarak nasıl keşfedileceğini tanımlamanın bir yolunu sunar.
    * Bu otomatik keşif, OpenID Connect spesifikasyonunda tanımlanan şeydir.


/// tip | İpucu

Google, Facebook, X (Twitter), GitHub vb. gibi diğer authentication/authorization provider’larını entegre etmek de mümkündür ve nispeten kolaydır.

        List<Exception> exceptions = new ArrayList<>();

        // When - Multiple threads get and release buffers
        for (int t = 0; t < threadCount; t++) {
            executor.submit(() -> {
                try {
                    startLatch.await();

                    for (int i = 0; i < opsPerThread; i++) {
                        // Get buffer

    },
    listDeselectedCssInfo: {
      "background-color": "#ffffff"
    },
    minterm: 1,
    adjustWidthVal: 11,
    searchForm: $("#searchForm")
  };

  $("#searchForm").on("submit", function() {
    $searchButton.prop("disabled", true);
    var $icon = $searchButton.find("i.fa-search");
    if ($icon.length > 0) {
      $icon.removeClass("fa fa-search").addClass("spinner-border spinner-border-sm");

      for (int i = numberOfThreads; i > 0; i--) {
        @SuppressWarnings("unused") // https://errorprone.info/bugpattern/FutureReturnValueIgnored
        Future<?> possiblyIgnoredError =
            executorService.submit(
                () -> {
                  startLatch.countDown();
                  startLatch.await();
                  callable.call();
                  doneLatch.countDown();
                  return null;

If the **human effort** put in a PR, e.g. writing LLM prompts, is **less** than the **effort we would need to put** to **review it**, please **don't** submit the PR.

Think of it this way: we can already write LLM prompts or run automated tools ourselves, and that would be faster than reviewing external PRs.

### Closing Automated and AI PRs

        this.markerFile.set(getProject().getLayout().getBuildDirectory().file("markers/" + this.getName() + ".marker"));
    }

    @TaskAction
    public void build() {
        workerExecutor.noIsolation().submit(DockerBuildAction.class, params -> {
            params.getDockerContext().set(dockerContext);
            params.getMarkerFile().set(markerFile);
            params.getTags().set(Arrays.asList(tags));

using tensorflow::string;

namespace tensorflow {
namespace {

static bool HasSubstr(absl::string_view base, absl::string_view substr) {
  bool ok = absl::StrContains(base, substr);
  EXPECT_TRUE(ok) << base << ", expected substring " << substr;
  return ok;
}

TEST(CAPI, MonitoringCounter0) {
  TF_Status* status = TF_NewStatus();
  auto* counter =

	ADDF	F0, F1, F2    // 002a31ee
	ADDD.EQ	F3, F4, F5    // 035b340e
	ADDF.NE	F0, F2        // 002a321e
	ADDD	F3, F5        // 035b35ee
	SUBF	F0, F1, F2    // 402a31ee
	SUBD.EQ	F3, F4, F5    // 435b340e
	SUBF.NE	F0, F2        // 402a321e
	SUBD	F3, F5        // 435b35ee
	MULF	F0, F1, F2    // 002a21ee
	MULD.EQ	F3, F4, F5    // 035b240e
	MULF.NE	F0, F2        // 002a221e
	MULD	F3, F5        // 035b25ee

  @Override
  protected void setUp() {
    ExecutorService executor = newSingleThreadExecutor();
    tearDownStack.addTearDown(executor::shutdownNow);
    sleeper = new SleepingRunnable(1000);
    delayedFuture = executor.submit(sleeper, true);

    tearDownStack.addTearDown(() -> Thread.interrupted());
  }

  @Override
  protected void tearDown() {
    tearDownStack.runTearDown();
  }

  /**

    CLA][]. Please include your GitHub username.
  - If you work for a company that wants to allow you to contribute your work,
    then you'll need to sign a [corporate CLA][].

You generally only need to submit a CLA once, so if you've already submitted
one (even if it was for a different project), you probably don't need to do it
again.

[individual CLA]: https://cla.developers.google.com/about/google-individual