*
     * <ul>
     *     <li>reused work could have happened on a remote machine with different hardware capabilities,</li>
     *     <li>there might have been more or less load on the machine producing the reused work,</li>
     *     <li>the work reused might have been executed incrementally,</li>
     *     <li>had there been no work to reuse, the local execution might have happened happen incrementally.</li>
     * </ul>
     */

     * Input file properties.
     *
     * It is guaranteed that all the {@link InputFilePropertySpec}s have a name and that the names are unique.
     */
    ImmutableSortedSet<InputFilePropertySpec> getInputFileProperties();

    /**
     * Output file properties.
     *
     * It is guaranteed that all the {@link OutputFilePropertySpec}s have a name and that the names are unique.
     */

mounted by pods using the `clusterTrustBundle` projection.  All service accounts have read access to ClusterTrustBundles by default.  Users who only have namespace-level access to a cluster can read ClusterTrustBundles by impersonating a serviceaccount that they have access to.\n\nIt can be optionally associated with a particular assigner, in which case it contains one valid set of trust anchors for that signer. Signers may have multiple associated ClusterTrustBundles; each is an independent set of trust...

//
// "tf.OpA" will not have `_parallel_execution_ids` attr,
//          means it does not belong to any parallel execution groups.
// First instance of "tf.OpB" after flattening will have
//          `_parallel_execution_ids = "r0:0"`,
//          which represents the first branch of replicate group 0.
// Second instance of "tf.OpB" after flattening will have
//          `_parallel_execution_ids = "r0:1"`

    But `OAuth2PasswordRequestForm` is just a class dependency that you could have written yourself, or you could have declared `Form` parameters directly.

    But as it's a common use case, it is provided by **FastAPI** directly, just to make it easier.

### Use the form data

!!! tip

		t.Fatalf("Queue %v should have length %d", evictor.queue.queue, len(queuePattern))
	}
	if !CheckQueueEq(queuePattern, evictor.queue.queue) {
		t.Errorf("Invalid queue. Got %v, expected %v", evictor.queue.queue, queuePattern)
	}

	setPattern := sets.NewString("first", "second", "third")
	if len(evictor.queue.set) != len(setPattern) {
		t.Fatalf("Map %v should have length %d", evictor.queue.set, len(setPattern))
	}

  ) attributes { tf_saved_model.exported_names = ["f"] } {
    func.return
  }

}

// -----

module attributes {tf_saved_model.semantics} {

  // expected-error@+1 {{all arguments should have 'tf_saved_model.index_path', 'tf_saved_model.bound_input' or 'tf.resource_name' attributes}}
  func.func @f(
    %arg0: tensor<f32>
  ) attributes { tf_saved_model.exported_names = ["f"] } {
    func.return
  }

func ImplementsExplain(t, iface *types.Type) string {
	var missing, have *types.Field
	var ptr int
	if implements(t, iface, &missing, &have, &ptr) {
		return ""
	}

	if isptrto(t, types.TINTER) {
		return fmt.Sprintf("%v is pointer to interface, not interface", t)
	} else if have != nil && have.Sym == missing.Sym && have.Nointerface() {

			s = "unknown type"
		case isUntyped(t):
			if isNumeric(t) {
				// Do not imply a specific type requirement:
				// "have number, want float64" is better than
				// "have untyped int, want float64" or
				// "have int, want float64".
				s = "number"
			} else {
				// If we don't have a number, omit the "untyped" qualifier
				// for compactness.
				s = strings.Replace(t.(*Basic).name, "untyped ", "", -1)
			}

	p := FromSlash(rootPattern + `\` + test.pattern)
	have, err := Glob(p)
	if err != nil {
		return err
	}
	slices.Sort(have)
	want := test.buildWant(root + `\`)
	if strings.Join(want, "_") == strings.Join(have, "_") {
		return nil
	}
	return fmt.Errorf("Glob(%q) returns %q, but %q expected", p, have, want)
}

func (test *globTest) globRel(root string) error {