}

func isAmbientPod(client kubernetes.Interface, podName, podNamespace string) (bool, error) {
	pod, err := client.CoreV1().Pods(podNamespace).Get(context.Background(), podName, metav1.GetOptions{})
	if err != nil {
		return false, err
	}
	ns, err := client.CoreV1().Namespaces().Get(context.Background(), podNamespace, metav1.GetOptions{})
	if err != nil {
		return false, err
	}

	return util.PodRedirectionEnabled(ns, pod), nil

Here's how it might look:

<img src="/img/tutorial/debugging/image01.png">

---

If you use Pycharm, you can:

* Open the "Run" menu.
* Select the option "Debug...".
* Then a context menu shows up.
* Select the file to debug (in this case, `main.py`).

It will then start the server with your **FastAPI** code, stop at your breakpoints, etc.

Here's how it might look:

		},
		ConnectDone: func(network, addr string, err error) {
			if err == nil {
				atomic.StoreInt64(&dialEnd, time.Now().UnixNano())
			}
		},
	}

	return req.WithContext(httptrace.WithClientTrace(req.Context(), trace)), func() {
		if ds := atomic.LoadInt64(&dialStart); ds > 0 {
			if de := atomic.LoadInt64(&dialEnd); de == 0 {
				atomic.AddUint64(&globalStats.tcpDialErrs, 1)
			} else if de >= ds {

/**
 * Collects problems that are encountered during model building. The primary purpose of this component is to account for
 * the fact that the problem reporter has/should not have information about the calling context and hence cannot provide
 * an expressive source hint for the model problem. Instead, the source hint is configured by the model builder before

// If file names are equal, compareMeta is called to select which one to choose.
// The entry not chosen will be discarded.
// If the context is canceled the function will return the error,
// otherwise the function will return nil.
func mergeEntryChannels(ctx context.Context, in []chan metaCacheEntry, out chan<- metaCacheEntry, readQuorum int) error {
	defer xioutil.SafeClose(out)
	top := make([]*metaCacheEntry, len(in))

import spock.lang.Specification
import spock.lang.TempDir

abstract class AbstractContextAwareRuleSpecification extends Specification {
    @TempDir
    File testDir

    ViolationCheckContext context = new ViolationCheckContext() {
        Map userData = [seenApiChanges: [] as Set]

        String getClassName() { return null }

        Map<String, ?> getUserData() { return userData }

			if errors.Is(err, errDiskNotFound) && verboseLogging {
				if globalEndpoints.NEndpoints() > 1 {
					logger.Info("Unable to connect to %s: %v, will be retried", endpoints[i], isServerResolvable(endpoints[i], time.Second))
				} else {
					logger.Fatal(err, "Unable to connect to %s: %v", endpoints[i], isServerResolvable(endpoints[i], time.Second))
				}
			} else {
				if globalEndpoints.NEndpoints() > 1 {

    public Kerb5Authenticator clone () {
        JAASAuthenticator auth = new JAASAuthenticator();
        cloneInternal(auth, this);
        return auth;
    }


    /**
     * Clone the context
     * 
     * @param to
     * @param from
     */
    protected static void cloneInternal ( JAASAuthenticator to, JAASAuthenticator from ) {
        Kerb5Authenticator.cloneInternal(to, from);

]

[tool.coverage.run]
parallel = true
data_file = "coverage/.coverage"
source = [
    "docs_src",
    "tests",
    "fastapi"
]
context = '${CONTEXT}'
dynamic_context = "test_function"
omit = [
    "docs_src/response_model/tutorial003_04.py",
    "docs_src/response_model/tutorial003_04_py310.py",
]

[tool.coverage.report]
show_missing = true

      -
        name: Build and push
        id: docker_build
        uses: docker/build-push-action@4f58ea79222b3b9dc2c8bbdd6debcef730109a75 # v6.9.0
        with:
          push: true
          context: ./tensorflow/tools/tf_sig_build_dockerfiles
          target: devel
          build-args: |
            PYTHON_VERSION=${{ matrix.python-version }}
            CACHEBUSTER=${{ steps.tf-version.outputs.DATE }}