* task cannot be implemented with {@link ListeningExecutorService}, the various {@link Futures}
 * utility methods, or {@link ListenableFutureTask}. Those APIs have less opportunity for developer
 * error. If your needs are more complex than {@code SettableFuture} supports, use {@link
 * AbstractFuture}, which offers an extensible version of the API.
 *
 * @author Sven Mawson
 * @since 9.0 (in 1.0 as {@code ValueFuture})
 */
@GwtCompatible

* Validate **complex structures**:
    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
    * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.

- **Flexibility and Control:**
Java serialization offers limited control over the serialization process, such as excluding certain fields, customizing naming conventions, and handling complex data structures more gracefully.

- **Security:**
Java serialization poses security risks, especially related to deserialization vulnerabilities.

- **Version Compatibility:**

        assertNotNull(builder);

        DefaultModelBuildingRequest request = new DefaultModelBuildingRequest();
        request.setProcessPlugins(true);
        request.setPomFile(getPom("complex"));
        request.setSystemProperties(sysProperties);

        ModelBuildingResult result = builder.build(request);
        assertNotNull(result);
        assertNotNull(result.getEffectiveModel());

# Extra Data Types

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types

 * This API does not try to cover all the requirements out there, just the basic ones, and is intentionally simple.
 * If plugin or extension needs anything more complex feature wise (i.e. HTTP range support or alike) it should
 * probably roll its own.
 * <p>
 * This implementation is backed by Maven Resolver API, supported protocols and transport selection depends on it. If

const Σ = 1 - 0.707i       //            (untyped complex constant)
const Δ = Σ + 2.0e-4       //            (untyped complex constant)
const Φ = iota*1i - 1/1i   //            (untyped complex constant)
</pre>

<p>
Applying the built-in function <code>complex</code> to untyped
integer, rune, or floating-point constants yields
an untyped complex constant.
</p>

<pre>

		t.Fatalf("failed to query data, got error %v", err)
	}
	AssertEqual(t, result, out)

	// update record
	data.Roles = append(data.Roles, "r3")
	data.JobInfo.Location = "Gates Hillman Complex"
	if err := DB.Assign(data).FirstOrCreate(&out).Error; err != nil {
		t.Fatalf("failed to FirstOrCreate Assigned data, got error %v", err)
	}
	if err := DB.First(&result, out.ID).Error; err != nil {

# Important: "tfrun foo | bar" is "( tfrun foo ) | bar", not "tfrun (foo | bar)".
# Therefore, "tfrun" commands cannot include pipes -- which is
# probably for the better. If a pipe is necessary for something, it is probably
# complex. Write a well-documented script under utilities/ to encapsulate the
# functionality instead.
tfrun() { "$@"; }

if [[ `uname -s | grep -P '^MSYS_NT'` ]]; then
  source ./ci/official/utilities/windows.sh

    FastAPI will use the `response_model` parameter (that includes dataclasses) to convert the response.

You can combine `dataclasses` with other type annotations in many different combinations to form complex data structures.

Check the in-code annotation tips above to see more specific details.

## Learn More