log := log.WithLabels("ns", pod.Namespace, "name", pod.Name)
	log.WithLabels("delete", isDelete).Debugf("removing pod from the mesh")

	// Aggregate errors together, so that if part of the cleanup fails we still proceed with other steps.
	var errs []error

	// Whether pod is already deleted or not, we need to let go of our netns ref.

import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto";

// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/rbac/v1alpha1";

// AggregationRule describes how to locate ClusterRoles to aggregate into the ClusterRole
message AggregationRule {
  // ClusterRoleSelectors holds a list of selectors which will be used to find ClusterRoles and create the rules.

	Trim      *TrimFunc      `parser:"| @@"`
	DateAdd   *DateAddFunc   `parser:"| @@"`
	DateDiff  *DateDiffFunc  `parser:"| @@"`

	// Used during evaluation for aggregation funcs
	aggregate *aggVal
}

// SimpleArgFunc represents functions with simple expression
// arguments.
type SimpleArgFunc struct {

	atomic.AddUint64(&m.bytesSinceLastWindow, bytes)
}

// updateExponentialMovingAverage processes the measurements captured so far.
func (m *rateMeasurement) updateExponentialMovingAverage(endTime time.Time) {
	// Calculate aggregate avg bandwidth and exp window avg
	m.lock.Lock()
	defer func() {
		m.startTime = endTime
		m.lock.Unlock()
	}()

	if m.startTime.IsZero() {
		return
	}

	if endTime.Before(m.startTime) {
		return

	}

	return retErr
}

func (s *meshDataplane) RemovePodFromMesh(ctx context.Context, pod *corev1.Pod, isDelete bool) error {
	log := log.WithLabels("ns", pod.Namespace, "name", pod.Name)

	// Aggregate errors together, so that if part of the removal fails we still proceed with other steps.
	var errs []error

	// Remove the hostside ipset entry first, and unconditionally - if later failures happen, we never

  // and not for correctness. The only downside of keeping this 1 seems to be
  // that the gradient accumulation is unbounded and we will never
  // aggressively aggregate accumulated gradients to recover memory.
  // Revisit and fix.
  return 1;
}

// Consumes references to the tensors in the gradient_tensors list and returns
// a tensor with the result.

```
sudo pip install yq
alias kv-pairify='yq ".configuration[]" | jq ".[]" | jq -r ".name + \"=\" + .value"'
```

Let's take for example a set of 12 compute nodes with an aggregate memory of _1.2TiB_, we need to do following settings for optimal results. Add the following optimal entries for _core-site.xml_ to configure _s3a_ with **MinIO**. Most important options here are

```

          listener.stopped();
        }

        @Override
        public String toString() {
          return "stopped()";
        }
      };

  /**
   * A listener for the aggregate state changes of the services that are under management. Users
   * that need to listen to more fine-grained events (such as when each particular {@linkplain

          listener.stopped();
        }

        @Override
        public String toString() {
          return "stopped()";
        }
      };

  /**
   * A listener for the aggregate state changes of the services that are under management. Users
   * that need to listen to more fine-grained events (such as when each particular {@linkplain

        <field>
          <name>aggregator</name>
          <version>1.0.0+</version>
          <type>boolean</type>
          <description>
            Flags this Mojo to run it in a multi-module way, i.e. aggregate the build with the set of projects
            listed as modules.
          </description>
          <defaultValue>false</defaultValue>
        </field>
        <field>
          <name>inheritedByDefault</name>