// Realize all object of type `type`
        def element = container.withType(type).iterator().next()

        when:
        def didRemoved = container.remove(element)

        then:
        didRemoved

        and:
        0 * _
    }

    def "will execute remove action when removing external provider only for realized elements"() {

[source,kotlin]
----
tasks.test {
    // lazy configuration
}

// Lazy reference
val testProvider: TaskProvider<Test> = tasks.test

testProvider {
    // lazy configuration
}

// Eagerly realized Test task, defeat configuration avoidance if done out of a lazy context
val test: Test = tasks.test.get()
----

            implementation("com:foo")
        }
    }
}

configurations.testImplementation {
    // Calling `all` here realizes/observes all lazy sources, including the `DependencyCollector`
    // from the test suite block. Operations like resolving a configuration similarly realize lazy sources.
    dependencies.all {
        if (this is ExternalDependency && group == "com" && name == "foo" && version == null) {

type UpdatePodOptions struct {
	// The type of update (create, update, sync, kill).
	UpdateType kubetypes.SyncPodType
	// StartTime is an optional timestamp for when this update was created. If set,
	// when this update is fully realized by the pod worker it will be recorded in
	// the PodWorkerDuration metric.
	StartTime time.Time
	// Pod to update. Required.
	Pod *v1.Pod
	// MirrorPod is the mirror pod if Pod is a static pod. Optional when UpdateType

==============================================================================*/

// This transformation pass prepares for legalization to the TFLite dialect by
// converting operations in TensorFlow dialect into operations that can be
// legalized to TensorFlow Lite dialect with simple replacements.  The newly
// created operations are in the TensorFlow dialect if the operation can be
// represented using a TensorFlow op.  Otherwise, TensorFlow Lite dialect op is

// This transformation pass prepares for legalization to the TFLite dialect by
// converting Tensorlist operations in TensorFlow dialect into operations that
// can be legalized to TensorFlow Lite dialect with simple replacements.  The
// newly created operations are in the TensorFlow dialect if the operation can
// be represented using a TensorFlow op. Otherwise, TensorFlow Lite dialect op
// is used.