// sanity check on construction of copyOfModifiedSet
    assertThat(wrappedSet).isEqualTo(copyOfModifiedSet);

    // setToTest should throw when it calls equals(), or equals is called on it, except for itself
    assertThat(setToTest).isEqualTo(setToTest);
    assertThrows(IllegalStateException.class, () -> setToTest.equals(wrappedSet));

 * under the License.
 */
package org.apache.maven.model.building;

/**
 * Assists in firing events from a generic method by abstracting from the actual callback method to be called on the
 * listener.
 *
 * @deprecated use {@link org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
interface ModelBuildingEventCatapult {

    /**

    1)
        # If $1=1 this is an install
        IS_UPGRADE=false
    ;;
    2)
        # If $1=1 this is an upgrade
        IS_UPGRADE=true
    ;;

    *)
        echo "post install script called with unknown argument \`$1'" >&2
        exit 1
    ;;
esac

if [ "x$IS_UPGRADE" != "xtrue" ]; then
    if command -v systemctl >/dev/null; then

{* ../../docs_src/dependencies/tutorial011_an_py39.py hl[12] *}

In this case, this `__call__` is what **FastAPI** will use to check for additional parameters and sub-dependencies, and this is what will be called to pass a value to the parameter in your *path operation function* later.

## Parameterize the instance

And now, we can use `__init__` to declare the parameters of the instance that we can use to "parameterize" the dependency:

          executor.execute(
              () -> {
                try {
                  startUp();
                  notifyStarted();
                  // If stopAsync() is called while starting we may be in the STOPPING state in
                  // which case we should skip right down to shutdown.
                  if (isRunning()) {
                    try {

If you want to receive partial updates, it's very useful to use the parameter `exclude_unset` in Pydantic's model's `.model_dump()`.

Like `item.model_dump(exclude_unset=True)`.

/// info

In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.

  TracingContext* tracing_ctx = dyn_cast<TracingContext>(unwrap(func));
  if (!tracing_ctx) {
    tsl::Set_TF_Status_from_Status(
        s, tensorflow::errors::InvalidArgument(
               "TF_AddFunctionParameter must be called on a TracingContext."));
    return nullptr;
  }
  tensorflow::PartialTensorShape partial_shape;
  if (shape.num_dims != -1) {
    DCHECK(shape.dim_sizes != nullptr);

   * {@code next}. Once the implementation either invokes {@code endOfData} or throws an exception,
   * {@code computeNext} is guaranteed to never be called again.
   *
   * <p>If this method throws an exception, it will propagate outward to the {@code hasNext} or
   * {@code next} invocation that invoked this method. Any further attempts to use the iterator will

   * doesn't satisfy the predicate, the multiset's {@code add()} and {@code addAll()} methods throw
   * an {@link IllegalArgumentException}. When methods such as {@code removeAll()} and {@code
   * clear()} are called on the filtered multiset, only elements that satisfy the filter will be
   * removed from the underlying multiset.
   *
   * <p>The returned multiset isn't threadsafe or serializable, even if {@code unfiltered} is.
   *

   * doesn't satisfy the predicate, the multiset's {@code add()} and {@code addAll()} methods throw
   * an {@link IllegalArgumentException}. When methods such as {@code removeAll()} and {@code
   * clear()} are called on the filtered multiset, only elements that satisfy the filter will be
   * removed from the underlying multiset.
   *
   * <p>The returned multiset isn't threadsafe or serializable, even if {@code unfiltered} is.
   *