h3. Plugins

* Execution model
* Metadata model
* Metadata tooling
 ** Metadata extractor
 ** Metadata reader
 ** Metadata writer
 ** Metadata adapter (if required for the target system)
* Maven packaging and lifecycle
* Maven test harness for plugin execution model
* Eclipse IDE tooling for plugin execution model and metadata model

- we also seem to have information like the plugin lifecycle model that's buried inside the maven execution model

### Concurrency + Parallelism: Web + Machine Learning { #concurrency-parallelism-web-machine-learning }

With **FastAPI** you can take advantage of concurrency that is very common for web development (the same main attraction of NodeJS).

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

   * <p>A "coerced" IPv4 address is equivalent to itself.
   *
   * <p>NOTE: This method is failsafe for security purposes: ALL IPv6 addresses (except localhost
   * (::1)) are hashed to avoid the security risk associated with extracting an embedded IPv4
   * address that might permit elevated privileges.
   *
   * @param ip {@link InetAddress} to "coerce"
   * @return {@link Inet4Address} represented "coerced" address
   * @since 7.0
   */

   * <p>A "coerced" IPv4 address is equivalent to itself.
   *
   * <p>NOTE: This method is failsafe for security purposes: ALL IPv6 addresses (except localhost
   * (::1)) are hashed to avoid the security risk associated with extracting an embedded IPv4
   * address that might permit elevated privileges.
   *
   * @param ip {@link InetAddress} to "coerce"
   * @return {@link Inet4Address} represented "coerced" address
   * @since 7.0
   */

     likeness depicted in a Work;
 iv. rights protecting against unfair competition in regards to a Work,
     subject to the limitations in paragraph 4(a), below;
  v. rights protecting the extraction, dissemination, use and reuse of data
     in a Work;
 vi. database rights (such as those arising under Directive 96/9/EC of the
     European Parliament and of the Council of 11 March 1996 on the legal

		}

		// Check if this is the first time we are
		// encountering this LDAP user.
		if _, ok := parentUserToCredsMap[cred.ParentUser]; !ok {
			// Try to find the ldapUsername for this
			// parentUser by extracting JWT claims
			var (
				jwtClaims *jwt.MapClaims
				err       error
			)

			if cred.SessionToken == "" {
				continue
			}

			if cred.IsServiceAccount() {

                else:
                    yield {**(maybe_nested_state or {}), **(maybe_original_state or {})}

    return merged_lifespan  # type: ignore[return-value]


# Cache for endpoint context to avoid re-extracting on every request
_endpoint_context_cache: dict[int, EndpointContext] = {}


def _extract_endpoint_context(func: Any) -> EndpointContext:
    """Extract endpoint context with caching to avoid repeated file I/O."""

- Expose a `NewUnstructuredExtractor` from apply configurations `meta/v1` package that enables extracting objects into unstructured apply configurations. ([#103564](https://github.com/kubernetes/kubernetes/pull/103564), [@kevindelgado](https://github.com/kevindelgado))

"crypto/internal/fips140/hmac" "hash" ) func Extract[H hash.Hash](h func() H, secret, salt []byte) []byte { if len(secret) < 112/8 { fips140.RecordNonApproved() } if salt == nil { salt = make([]byte, h().Size()) } extractor := hmac.New(h, salt) hmac.MarkAsUsedInKDF(extractor) extractor.Write(secret) return extractor.Sum(nil) } func Expand[H hash.Hash](h func() H, pseudorandomKey []byte, info string, keyLen int) []byte { out := make([]byte, 0, keyLen) expander := hmac.New(h, pseudorandomKey) hmac.MarkAsUsedInKDF(expander)...

"crypto/internal/fips140/hmac" ) func Extract[H fips140.Hash](h func() H, secret, salt []byte) []byte { if len(secret) < 112/8 { fips140.RecordNonApproved() } if salt == nil { salt = make([]byte, h().Size()) } extractor := hmac.New(h, salt) hmac.MarkAsUsedInKDF(extractor) extractor.Write(secret) return extractor.Sum(nil) } func Expand[H fips140.Hash](h func() H, pseudorandomKey []byte, info string, keyLen int) []byte { out := make([]byte, 0, keyLen) expander := hmac.New(h, pseudorandomKey) hmac.MarkAsUsedInKDF(expander)...