import org.codehaus.plexus.classworlds.realm.DuplicateRealmException;
import org.eclipse.aether.artifact.Artifact;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * Manages the class realms used by Maven. <strong>Warning:</strong> This is an internal utility class that is only
 * public for technical reasons, it is not part of the public API. In particular, this class can be changed or deleted

  optional k8s.io.apimachinery.pkg.apis.meta.v1.Time lastScaleTime = 2;

  // currentReplicas is current number of replicas of pods managed by this autoscaler,
  // as last seen by the autoscaler.
  optional int32 currentReplicas = 3;

  // desiredReplicas is the desired number of replicas of pods managed by this autoscaler,
  // as last calculated by the autoscaler.
  optional int32 desiredReplicas = 4;

		t.Errorf("MinIO %s: Failed to create HTTP request for testing the response when object Layer is set to `nil`.", instanceType)
	}
	// execute the object layer set to `nil` test.
	// `ExecObjectLayerAPINilTest` manages the operation.
	ExecObjectLayerAPINilTest(t, nilBucket, nilObject, instanceType, apiRouter, nilReq)
}

func TestAPIHeadObjectHandlerWithEncryption(t *testing.T) {
	globalPolicySys = NewPolicySys()

Kubernetes manages stateless Spark and Hive containers elastically on the compute nodes. Spark has native scheduler integration with Kubernetes. Hive, for legacy reasons, uses YARN scheduler on top of Kubernetes.

  // to build a graph operation.
  string op_type_;
  const char* op_name_ = nullptr;
  // TODO(srbs): Use this.
  string device_name_;
};

// GraphContext wraps a TF_Graph modeling a single function and manages the
// "execution" of operation, i.e. adding them to the function.
class GraphContext : public TracingContext {
 public:
  explicit GraphContext(const char* name)
      : TracingContext(kGraph),

func (j jentry) OpHash() uint64 {
	return xxh3.HashString(j.TierName + j.ObjName)
}

func (e expiryTask) OpHash() uint64 {
	return xxh3.HashString(e.objInfo.Bucket + e.objInfo.Name)
}

// expiryState manages all ILM related expiration activities.
type expiryState struct {
	mu      sync.RWMutex
	workers atomic.Pointer[[]chan expiryOp]

	ctx    context.Context
	objAPI ObjectLayer

	stats expiryStats
}

import org.codehaus.plexus.logging.Logger;
import org.eclipse.aether.ConfigurationProperties;
import org.eclipse.aether.util.ConfigUtils;

// TODO remove the update check manager
// TODO separate into retriever and publisher
// TODO remove hardcoding of checksum logic

/**
 * Manages <a href="https://maven.apache.org/wagon">Wagon</a> related operations in Maven.
 */
@Named
@Singleton
@Deprecated

Once you are ready and want to use a tool to **manage the entire project**, packages dependencies, virtual environments, etc. I would suggest you try <a href="https://github.com/astral-sh/uv" class="external-link" target="_blank">uv</a>.

`uv` can do a lot of things, it can:

* **Install Python** for you, including different versions
* Manage the **virtual environment** for your projects
* Install **packages**

// ReplicaSet ensures that a specified number of pod replicas are running at any given time.
message ReplicaSet {
  // If the Labels of a ReplicaSet are empty, they are defaulted to
  // be the same as the Pod(s) that the ReplicaSet manages.
  // Standard object's metadata.
  // More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#metadata
  // +optional

  optional k8s.io.apimachinery.pkg.apis.meta.v1.Time lastScaleTime = 2;

  // currentReplicas is current number of replicas of pods managed by this autoscaler,
  // as last seen by the autoscaler.
  // +optional
  optional int32 currentReplicas = 3;

  // desiredReplicas is the desired number of replicas of pods managed by this autoscaler,
  // as last calculated by the autoscaler.
  optional int32 desiredReplicas = 4;