path = defaultArtifact.getArtifact().getPath();
        }
        return Optional.ofNullable(path);
    }

    @Override
    public void setPath(@Nonnull ProducedArtifact artifact, Path path) {
        String id = id(requireNonNull(artifact, "artifact cannot be null"));
        if (session.getMavenSession().getAllProjects() != null) {

  <modelVersion>4.0.0</modelVersion>

  <parent>
    <groupId>org.apache.maven</groupId>
    <artifactId>maven-compat-modules</artifactId>
    <version>4.1.0-SNAPSHOT</version>
  </parent>

  <artifactId>maven-resolver-provider</artifactId>

  <name>Maven Artifact Resolver Provider (deprecated)</name>

                            false);
                    if (!Objects.equals(originalPom, interpolatedPom)) {
                        Files.writeString(tmpPom, interpolatedPom);
                        artifact = artifact.setPath(tmpPom);
                    }
                } catch (IOException e) {
                    throw new UncheckedIOException(e);
                }
            }
            newArtifacts.add(artifact);
        }

Assim, a função abaixo dele será executada uma vez para cada combinação de argumentos. E então os valores retornados para cada uma dessas combinações de argumentos serão usados repetidamente sempre que a função for chamada com exatamente a mesma combinação de argumentos.

Por exemplo, se você tiver uma função:

```Python
@lru_cache
def say_hi(name: str, salutation: str = "Ms."):

            result.setCreatedTime(DfTypeUtil.toLong(source.get("createdTime")));
            result.setGenerator(DfTypeUtil.toString(source.get("generator")));
            result.setPath(DfTypeUtil.toString(source.get("path")));
            result.setTarget(DfTypeUtil.toString(source.get("target")));
            result.setThumbnailId(DfTypeUtil.toString(source.get("thumbnail_id")));

  <modelVersion>4.0.0</modelVersion>

  <parent>
    <groupId>org.apache.maven</groupId>
    <artifactId>maven-compat-modules</artifactId>
    <version>4.1.0-SNAPSHOT</version>
  </parent>

  <artifactId>maven-model</artifactId>

  <name>Maven Model</name>
  <description>Model for Maven POM (Project Object Model)</description>

* `allow_credentials` - Indica que os cookies devem ser suportados...

    <module>maven-reporting-api</module>
    <module>maven-project-builder</module>
    <module>maven-mercury</module>
    <module>maven-embedder</module>
    <module>maven-toolchain</module>
    <module>maven-compat</module>
    <module>maven-repository</module>
    <module>maven-repository-mercury</module>
  </modules>
  <!--start-->
  <dependencies>
    <dependency>
      <groupId>junit</groupId>

            if (!plugin.isExtensions()
                    && artifacts.size() == 1
                    && artifacts.get(0).getFile() != null) {
                /*
                 * This is purely for backward-compat with 2.x where <extensions> consisting of a single artifact where
                 * loaded into the core and hence available to plugins, in contrast to bigger extensions that were

else:
  _module_dir = _module_util.get_parent_dir_for_name("keras.api._v2.keras")
_current_module.__path__ = [_module_dir] + _current_module.__path__


# Enable TF2 behaviors
from tensorflow.python.compat import v2_compat as _compat
_compat.enable_v2_behavior()
_major_api_version = 2


# Load all plugin libraries from site-packages/tensorflow-plugins if we are
# running under pip.