"integrity": "sha512-DCXu6Ifhqcks7TZKY3Hxp3y6qphY5SJZmrWMDrKcERSOXWQdMhU9Ig/PYrzyw/ul9jOIyh0N4M0tbC5hodg8dw==",
      "dev": true
    },
    "node_modules/fastest-levenshtein": {
      "version": "1.0.16",
      "resolved": "https://registry.npmjs.org/fastest-levenshtein/-/fastest-levenshtein-1.0.16.tgz",
      "integrity": "sha512-eRnCtTTtGZFpQCwhJiUOuxPQWRXVKYDn0b2PeHfXL6/Zi53SLAzAHfVhVWK2AryC/WH05kGfxhFIPvTF0SXQzg==",
      "dev": true,

	case reflect.Struct:
		// ObjectMeta is generic and therefore should never have a field with a specific resource's name;
		// it contains cycles so it's easiest to just skip it.
		if name == "ObjectMeta" {
			break
		}
		for i := 0; i < tp.NumField(); i++ {
			field := tp.Field(i)

	// "foo_linux.go" is tagged but "linux.go" is not. This allows new operating
	// systems, such as android, to arrive without breaking existing code with
	// innocuous source code in "android.go". The easiest fix: cut everything
	// in the name before the initial _.
	i := strings.Index(name, "_")
	if i < 0 {
		return true
	}
	name = name[i:] // ignore everything before first _

	l := strings.Split(name, "_")

Each configuration contributed by an applied plugin is also available as a member of the `configurations` container, so you can reference it just like any other configuration.

.Knowing what configurations are available
--
The easiest way to find out what configurations are available is by asking your IDE for suggestions within the `configurations` container.

 * then the protocol will not
 * sleep but return if it could
 * not complete.
 *
 * sleep can wake up with g.param == nil
 * when a channel involved in the sleep has
 * been closed.  it is easiest to loop and re-run
 * the operation; we'll see that it's now closed.
 */
func chansend(c *hchan, ep unsafe.Pointer, block bool, callerpc uintptr) bool {
	if c == nil {
		if !block {
			return false
		}

	// then not loading extra filenames), and just use the hash value of the
	// symbol name to do this cataloging.
	//
	// TODO: Store filenames as symbols. (Note this would be easiest if you
	// also move strings to ALWAYS using the larger content addressable hash
	// function, and use that hash value for uniqueness testing.)
	cuEntries := make([]goobj.CUFileIndex, len(compUnits))

	// (objects and bytes, not distinguishing alloc from inuse),
	// but then such a profile can't be merged using pprof *.prof with
	// other 4-column profiles where alloc != inuse.
	// The easiest way to avoid this bug is to adjust allocBytes so it's never == inuseBytes.
	// pprof doesn't use these header values anymore except for checking equality.
	inUseBytes := total.InUseBytes()
	allocBytes := total.AllocBytes

	case obj.TYPE_CONST, obj.TYPE_FCONST, obj.TYPE_SCONST, obj.TYPE_ADDR:
		// OK
	default:
		p.errorf("DATA value must be an immediate constant or address")
		return
	}

	// The addresses must not overlap. Easiest test: require monotonicity.
	if lastAddr, ok := p.dataAddr[name]; ok && nameAddr.Offset < lastAddr {
		p.errorf("overlapping DATA entry for %s", name)
		return
	}
	p.dataAddr[name] = nameAddr.Offset + int64(sz)

	// the Montgomery domain, meaning we can use Montgomery multiplication now).
	// We could do that by doubling _W * n times, or with a square-and-double
	// chain log2(_W * n) long. Turns out the fastest thing is to start out with
	// doublings, and switch to square-and-double once the exponent is large
	// enough to justify the cost of the multiplications.

    Any other argument will disable incremental processing.

=== "Isolating" annotation processors

The fastest category, these look at each annotated element in isolation, creating generated files or validation messages for it.
For instance an `EntityProcessor` could create a `<TypeName>Repository` for each type annotated  with `@Entity`.