private final TypeToken<?> type;
  private final ImmutableList<Annotation> annotations;

  /**
   * An {@code AnnotatedType} instance, or {@code null} under Android VMs (possible only when using
   * the Android flavor of Guava). The field is declared with a type of {@code Object} to avoid
   * compatibility problems on Android VMs. The corresponding accessor method, however, can have the

        then:
        executedAndNotSkipped ":appVisualStudioSolution"
        executedAndNotSkipped getComponentTasks("main")

        when:
        buildFile << """
            model {
                flavors {
                    orange
                    banana
                }
            }
        """
        run "visualStudio"

        then:
        executedAndNotSkipped ":appVisualStudioSolution"

  @VisibleForTesting transient int expectedValuesPerKey;

  /**
   * Creates a new, empty {@code ArrayListMultimap} with the default initial capacities.
   *
   * <p>This method will soon be deprecated in favor of {@code
   * MultimapBuilder.hashKeys().arrayListValues().build()}.
   */
  public static <K extends @Nullable Object, V extends @Nullable Object>
      ArrayListMultimap<K, V> create() {

limitations under the License.
*/

package noderesources

import (
	"k8s.io/kubernetes/pkg/scheduler/apis/config"
	"k8s.io/kubernetes/pkg/scheduler/framework"
)

// leastResourceScorer favors nodes with fewer requested resources.
// It calculates the percentage of memory, CPU and other resources requested by pods scheduled on the node, and

limitations under the License.
*/

package noderesources

import (
	"k8s.io/kubernetes/pkg/scheduler/apis/config"
	"k8s.io/kubernetes/pkg/scheduler/framework"
)

// mostResourceScorer favors nodes with most requested resources.
// It calculates the percentage of memory and CPU requested by pods scheduled on the node, and prioritizes
// based on the maximum of the average of the fraction of requested to capacity.
//

So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

    # Custom annotations on pod level, if you need them
    podAnnotations: {}

    # Deploy the config files as plugin chain (value "true") or as standalone files in the conf dir (value "false")?
    # Some k8s flavors (e.g. OpenShift) do not support the chain approach, set to false if this is the case
    chained: true

    # Custom configuration happens based on the CNI provider.
    # Possible values: "default", "multus"

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

/**
 * <a href="https://guava.dev/EventBus">Discouraged</a> in favor of dependency injection and
 * concurrency frameworks, EventBus allows publish-subscribe-style communication.
 *
 * <p>See the Guava User Guide article on <a

	// TODO(gri) remove this check in favor of specialized lookup
	if pkg == nil {
		pkg = nopkg
	}
	if s := pkg.Syms[name]; s != nil {
		return s, true
	}

	s = &Sym{
		Name: name,
		Pkg:  pkg,
	}
	pkg.Syms[name] = s
	return s, false
}

func (pkg *Pkg) LookupBytes(name []byte) *Sym {
	// TODO(gri) remove this check in favor of specialized lookup
	if pkg == nil {
		pkg = nopkg
	}

For example, Google login uses OpenID Connect (which underneath uses OAuth2).

But Facebook login doesn't support OpenID Connect. It has its own flavor of OAuth2.

### OpenID (not "OpenID Connect")

There was also an "OpenID" specification. That tried to solve the same thing as **OpenID Connect**, but was not based on OAuth2.

So, it was a complete additional system.