connectToMinio # Use a check-sleep-check loop to wait for MinIO service to be available connectToMinio() { SCHEME=$1 ATTEMPTS=0 ; LIMIT=29 ; # Allow 30 attempts set -e ; # fail if we can't read the keys. ACCESS=$(cat /config/rootUser) ; SECRET=$(cat /config/rootPassword) ; set +e ; # The connections to minio are allowed to fail. echo "Connecting to MinIO server: $SCHEME://$MINIO_ENDPOINT:$MINIO_PORT" ; MC_COMMAND="${MC} alias set myminio $SCHEME://$MINIO_ENDPOINT:$MINIO_PORT $ACCESS $SECRET" ; $MC_COMMAND...

	m := getFakeDPWithIPSet(server, fakeClientSet, set)
	expectPodRemovedFromIPSet(fakeIPSetDeps, pod.Status.PodIPs)

	// pod is not in fake client, so if this will try to remove annotation, it will fail.
	err := m.RemovePodFromMesh(fakeCtx, pod, true)

	fakeIPSetDeps.AssertExpectations(t)

	assert.NoError(t, err)
}

func TestMeshDataplaneDelPodErrorDoesntPatchPod(t *testing.T) {

  public void testTimeoutOnGetWorksCorrectly() throws InterruptedException, ExecutionException {

    // The task thread waits for the latch, so we expect a timeout here.
    try {
      future.get(20, MILLISECONDS);
      fail("Should have timed out trying to get the value.");
    } catch (TimeoutException expected) {
    } finally {
      latch.countDown();
    }
  }

  /**

            if ( ( flags & SmbConstants.O_CREAT ) == SmbConstants.O_CREAT ) {
                // create it if necessary
                if ( ( flags & SmbConstants.O_EXCL ) == SmbConstants.O_EXCL ) {
                    // fail if already exists
                    this.openFunction = OPEN_FN_CREATE | OPEN_FN_FAIL_IF_EXISTS;
                }
                else {
                    this.openFunction = OPEN_FN_CREATE | OPEN_FN_OPEN;

        return sb.toString();
    }

    public Artifact find(Artifact artifact) {
        File artifactFile = new File(getBasedir(), pathOf(artifact));

        // We need to set the file here or the resolver will fail with an NPE, not fully equipped to deal
        // with multiple local repository implementations yet.
        artifact.setFile(artifactFile);

        if (artifactFile.exists()) {
            artifact.setResolved(true);

      ASSERT_EQ(errors::OK, s.code()) << s.message();
      ctx_.reset(ctx_raw);
    }

    // Computing numerical gradients with TensorFloat-32 is numerically
    // unstable. Some forward pass tests also fail with TensorFloat-32 due to
    // low tolerances
    enable_tensor_float_32_execution(false);
  }

  AbstractContextPtr ctx_;

 public:

  else:
    importlib.import_module("keras.src.optimizers")
except (ImportError, AttributeError):
  pass

del importlib

# Delete modules that should be hidden from dir().
# Don't fail if these modules are not available.
# For e.g. this file will be originally placed under tensorflow/_api/v1 which
# does not have "python", "core" directories. Then, it will be copied

    assertEquals(-1, matcher.indexIn(""));
    assertEquals(-1, matcher.indexIn("", 0));
    try {
      matcher.indexIn("", 1);
      fail();
    } catch (IndexOutOfBoundsException expected) {
    }
    try {
      matcher.indexIn("", -1);
      fail();
    } catch (IndexOutOfBoundsException expected) {
    }
    assertEquals(-1, matcher.lastIndexIn(""));
    assertFalse(matcher.matchesAnyOf(""));

     * {@link ModelProblem.Severity#WARNING} and below are reported here. Problems with a higher severity level cause
     * the model builder to fail with a {@link ModelBuildingException}.
     *
     * @return The problems that were encountered during the model building, can be empty but never {@code null}.
     */
    List<ModelProblem> getProblems();

    public HtmlResponse deleteall() {
        verifyToken(this::asListHtml);
        final List<String> jobStatusList = new ArrayList<>();
        jobStatusList.add(Constants.OK);
        jobStatusList.add(Constants.FAIL);
        jobLogService.deleteByJobStatus(jobStatusList);
        jobLogPager.clear();
        saveInfo(messages -> messages.addSuccessJobLogDeleteAll(GLOBAL));
        return redirect(getClass());
    }