type LimitRangerActions interface {
	// MutateLimit is a pluggable function to set limits on the object.
	MutateLimit(limitRange *corev1.LimitRange, kind string, obj runtime.Object) error
	// ValidateLimits is a pluggable function to enforce limits on the object.
	ValidateLimit(limitRange *corev1.LimitRange, kind string, obj runtime.Object) error
	// SupportsAttributes is a pluggable function to allow overridding what resources the limitranger
	// supports.

     *            context to use
     * @param address
     * @param port
     * @param exclusive
     *            whether to acquire an unshared connection
     * @param forceSigning
     *            whether to enforce SMB signing on this connection
     * @return a transport connection to the target
     */
    SmbTransport getSmbTransport ( CIFSContext tc, Address address, int port, boolean exclusive, boolean forceSigning );


    /**

// namespace at MinIO level with this DNS entry. The global namespace in
// enforced by the Kubernetes Operator
func (c *OperatorDNS) List() (srvRecords map[string][]SrvRecord, err error) {
	return nil, ErrNotImplemented
}

// Get - Retrieves DNS records for a bucket.
// This is a No Op for Operator because, there is no intent to enforce global

Preconditions can define and enforce conditions like:
- The test is running on Windows (`@Requires(UnitTestPreconditions.Windows)`)
- The test is running on JDK 8 compatible JDKs (`@Requires(UnitTestPreconditions.Jdk8OrLater)`)

    public static final IvyArtifactNameSerializer INSTANCE = new IvyArtifactNameSerializer();
    private IvyArtifactNameSerializer() {
        // Private to enforce singleton.
    }

    @Override
    public IvyArtifactName read(Decoder decoder) throws IOException {
        String artifactName = decoder.readString();
        String type = decoder.readString();

# pylint: disable=missing-docstring,line-too-long
import tensorflow.compat.v1 as tf
from tensorflow.compiler.mlir.tensorflow.tests.tf_saved_model import common_v1

# Verify that the tf.versions attribute exists. It is difficult to enforce
# contents, since the version numbers change over time. The conversion logic
# itself is verified in the common graphdef converter, so here just assert
# it is being invoked.
# CHECK: module

 * serialization of funnels. When possible, it is recommended that funnels be implemented as a
 * single-element enum to maintain serialization guarantees. See Effective Java (2nd Edition), Item
 * 3: "Enforce the singleton property with a private constructor or an enum type". For example:
 *
 * <pre>{@code
 * public enum PersonFunnel implements Funnel<Person> {
 *   INSTANCE;

 * serialization of funnels. When possible, it is recommended that funnels be implemented as a
 * single-element enum to maintain serialization guarantees. See Effective Java (2nd Edition), Item
 * 3: "Enforce the singleton property with a private constructor or an enum type". For example:
 *
 * <pre>{@code
 * public enum PersonFunnel implements Funnel<Person> {
 *   INSTANCE;

import tensorflow.compat.v1 as tf
from tensorflow.compiler.mlir.tensorflow.tests.tf_saved_model import common_v1
from tensorflow.core.protobuf import meta_graph_pb2

# Verify that the tf.versions attribute exists. It is difficult to enforce
# contents, since the version numbers change over time. The conversion logic
# itself is verified in the common graphdef converter, so here just assert
# it is being invoked.
# CHECK: module
# CHECK-SAME: tf.versions

		// If the version that we're about to upgrade to is a released version, we should fully enforce this policy
		// If the version is a CI/dev/experimental version, it's okay to jump two minor version steps, but then require the -f flag
		if len(newK8sVersion.PreRelease()) == 0 {