'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### Unpacking a `dict` { #unpacking-a-dict }

If we take a `dict` like `user_dict` and pass it to a function (or class) with `**user_dict`, Python will "unpack" it. It will pass the keys and values of the `user_dict` directly as key-value arguments.

So, continuing with the `user_dict` from above, writing:

```Python

 *  @license MIT
 */

  private final Function<? super F, ? extends @Nullable T> function;
  private final Equivalence<T> resultEquivalence;

  FunctionalEquivalence(
      Function<? super F, ? extends @Nullable T> function, Equivalence<T> resultEquivalence) {
    this.function = checkNotNull(function);
    this.resultEquivalence = checkNotNull(resultEquivalence);
  }

  @Override

participant code as Code
participant function as say_hi()
participant execute as Execute function

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")
        function ->> execute: execute function code
        execute ->> code: return the result
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Camila")
        function ->> code: return stored result
    end

            @Override
            public long updateByQuery(String index,
                    java.util.function.Function<org.opensearch.action.search.SearchRequestBuilder, org.opensearch.action.search.SearchRequestBuilder> builder,
                    java.util.function.BiFunction<org.opensearch.action.update.UpdateRequestBuilder, org.opensearch.search.SearchHit, org.opensearch.action.update.UpdateRequestBuilder> processor) {

import java.util.Spliterator;
import java.util.Spliterators;
import java.util.Spliterators.AbstractSpliterator;
import java.util.function.BiConsumer;
import java.util.function.BiFunction;
import java.util.function.Consumer;
import java.util.function.DoubleConsumer;
import java.util.function.IntConsumer;
import java.util.function.LongConsumer;
import java.util.stream.BaseStream;
import java.util.stream.DoubleStream;
import java.util.stream.IntStream;

// once (i.e., on the main function side) in running distributed functions.
// This test creates a cluster with two workers, create a variable on the
// second worker, and run a distributed function (VariableAddFunction) whose ops
// span the local and remote workers. If the graph optimization pass is executed
// on both the main function side and the component function side, an error will

        private Function<String, Dependency> function;

        ProjectBasedDistributionDependency(Function<String, Dependency> function) {
            this.function = function;
        }

        @Override
        public Object getDefaultNotation() {
            return function.apply("default");
        }

        @Override

]
NamedSessionsFuncDep = Annotated[
    tuple[NamedSession, Session], Depends(get_named_func_session, scope="function")
]

RegularSessionsDep = Annotated[
    tuple[NamedSession, Session], Depends(get_named_regular_func_session)
]

app = FastAPI()


@app.websocket("/function-scope")
async def function_scope(websocket: WebSocket, session: SessionFuncDep) -> Any:
    await websocket.accept()

      Function<? super F, T> function, Supplier<F> supplier) {
    return new SupplierComposition<>(function, supplier);
  }

  private static final class SupplierComposition<
          F extends @Nullable Object, T extends @Nullable Object>
      implements Supplier<T>, Serializable {
    final Function<? super F, T> function;
    final Supplier<F> supplier;