Automated testing allows developers to refactor and improve code with confidence.

[[testing-pyramid]]
=== The testing pyramid

Manual Testing :: While manual testing is straightforward, it is error-prone and requires human effort. For Gradle plugins, manual testing involves using the plugin in a build script.

Automated Testing :: Automated testing includes unit, integration, and functional testing.

image::testing-pyramid.png[float=right]

		if _, found := m[vp]; found {
			// We can see collisions (variables with the same name/file/line/col) in obfuscated or machine-generated code -- see issue 44378 for an example. Skip duplicates in such cases, since it is unlikely that a human will be debugging such code.
			continue
		}
		m[vp] = i
	}
	return m
}

func insertInlCall(dwcalls *dwarf.InlCalls, inlIdx int, imap map[int]int) int {
	callIdx, found := imap[inlIdx]
	if found {

  @VisibleForTesting
  static WildcardType supertypeOf(Type lowerBound) {
    return new WildcardTypeImpl(new Type[] {lowerBound}, new Type[] {Object.class});
  }

  /**
   * Returns a human-readable string representation of {@code type}.
   *
   * <p>The format is subject to change.
   */
  static String toString(Type type) {
    return (type instanceof Class) ? ((Class<?>) type).getName() : type.toString();

        if (ascii.exists()) {
            ascii.delete();
        }
        boolean hasKey = false;
        for (PGPPublicKeyRing keyRing : allKeyRings) {
            // First let's write some human readable info about the keyring being serialized
            try (OutputStream out = new FileOutputStream(ascii, true)) {
                if (hasKey) {
                    out.write('\n');
                }

### Run Automatically on Startup

In general, you will probably want the server program (e.g. Uvicorn) to be started automatically on server startup, and without needing any **human intervention**, to have a process always running with your API (e.g. Uvicorn running your FastAPI app).

### Separate Program

* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
* **Fewer bugs**: Reduce about 40% of human (developer) induced errors. *
* **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging.

			) {
			utilruntime.HandleError(fmt.Errorf("timed out waiting for quota monitor sync"))
			return
		}

		logger.V(2).Info("synced quota controller")
	}, period)
}

// printDiff returns a human-readable summary of what resources were added and removed
func printDiff(oldResources, newResources map[schema.GroupVersionResource]struct{}) string {
	removed := sets.NewString()
	for oldResource := range oldResources {

  optional .k8s.io.apimachinery.pkg.apis.meta.v1.Time lastTransitionTime = 3;

  // reason is the reason for the condition's last transition.
  // +optional
  optional string reason = 4;

  // message is a human-readable explanation containing details about
  // the transition
  // +optional
  optional string message = 5;
}

// HorizontalPodAutoscaler is a list of horizontal pod autoscaler objects.

with a new key and a new "kind."

# Metric key format

As mentioned earlier, metric keys are strings. Their format is simple and well-defined,
designed to be both human and machine readable. It is split into two components,
separated by a colon: a rooted path and a unit. The choice to include the unit in
the key is motivated by compatibility: if a metric's unit changes, its semantics likely

     */
    public URI relativizeFrom(TestFile baseDir) {
        return baseDir.toURI().relativize(toURI());
    }

    /**
     * Returns a human-readable relative path to this file from the base directory passed to create this TestFile.
     *
     * Fails if this TestFile was created in a way that did not provide a relative base.
     *