// enable re-resolution
                    org.eclipse.aether.artifact.Artifact art = dep.getArtifact();
                    art = art.setFile(null).setVersion(art.getBaseVersion());
                    dep = dep.setArtifact(art);
                }
                collect.addDependency(dep);
            }
        }

        Artifact artifact = new DefaultArtifact(
                "sample.group",
                "sample-art",
                VersionRange.createFromVersion("1.0"),
                "scope",
                "jar",
                "classifier",
                null);
        artifact.setFile(getTestFile("target/sample-art"));

        StringWagon wagon = (StringWagon) wagonManager.getWagon("string");

*   `tf.keras`:

    *   `Model.fit` major improvements:
        *   You can now use custom training logic with `Model.fit` by overriding
            `Model.train_step`.
        *   Easily write state-of-the-art training loops without worrying about
            all of the features `Model.fit` handles for you (distribution
            strategies, callbacks, data formats, looping logic, etc)
        *   See the default