* This is an unsynchronized read! After the read, the function returns immediately or acquires
     * the lock to check again. Since an IDLE state was observed inside the preceding synchronized
     * block, and reference field assignment is atomic, this may save reacquiring the lock when
     * another thread or the worker task has cleared the count and set the state.
     *
     * <p>When {@link #executor} is a directExecutor(), the value written to

commit.

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  - If you are an individual writing original source code and you're sure you

If it was in a type annotation we could have used the vertical bar, as:

```Python
some_variable: PlaneItem | CarItem
```

But if we put that in the assignment `response_model=PlaneItem | CarItem` we would get an error, because Python would try to perform an **invalid operation** between `PlaneItem` and `CarItem` instead of interpreting that as a type annotation.

## List of models

          () -> {
            lock.lock();
            try {
              startUp();
              /*
               * requireNonNull is safe because executorService is never cleared after the
               * assignment above.
               */
              requireNonNull(executorService);
              runningTask = scheduler().schedule(delegate, executorService, task);
              notifyStarted();

    // of the values gets evicted. With weak keys, we use identity equality, which means using
    // System.identityHashCode, which means the assignment of keys to segments is nondeterministic,
    // so more than (maximumSize / #segments) keys could get assigned to the same segment, which
    // would cause one to be evicted.
    return new CacheBuilderFactory()

    // of the values gets evicted. With weak keys, we use identity equality, which means using
    // System.identityHashCode, which means the assignment of keys to segments is nondeterministic,
    // so more than (maximumSize / #segments) keys could get assigned to the same segment, which
    // would cause one to be evicted.
    return new CacheBuilderFactory()

  path: /
  hosts:
    - console.minio-example.local
  tls: []
  #  - secretName: chart-example-tls
  #    hosts:
  #      - chart-example.local

## Node labels for pod assignment
## Ref: https://kubernetes.io/docs/user-guide/node-selection/
##
nodeSelector: {}
tolerations: []
affinity: {}
topologySpreadConstraints: []

*   Added an easy way to add and dynamically load user-defined ops
*   Built out a good suite of tests, things should break less!
*   Added `MetaGraphDef` which makes it easier to save graphs with metadata
*   Added assignments for "Deep Learning with TensorFlow" udacity course

## Bug Fixes and Other Changes

*   Added a versioning framework for `GraphDef`s to ensure compatibility
*   Enforced Python 3 compatibility

Kubernetes 1.24 introduced a new opt-in feature that allows you to
[soft-reserve a range for static IP address assignments](https://kubernetes.io/docs/concepts/services-networking/service/#service-ip-static-sub-range)
to Services.
With the manual enablement of this feature, the cluster will prefer automatic assignment from
the pool of Service IP addresses thereby reducing the risk of collision.

A Service `ClusterIP` can be assigned:

	}

	// Remove the policy assignment on the user DN:

	if _, err = s.adm.DetachPolicyLDAP(ctx, userReq); err != nil {
		c.Fatalf("Unable to detach user policy: %v", err)
	}

	_, err = ldapID.Retrieve()
	if err == nil {
		c.Fatalf("Expected to fail to create a user with no associated policy!")
	}

	// Set policy via group and validate policy assignment.