Doc(
            """
            An alternative name for the parameter field.

            This will be used to extract the data and for the generated OpenAPI.
            It is particularly useful when you can't use the name you want because it
            is a Python reserved keyword or similar.
            """
        ),
    ] = None,
    alias_priority: Annotated[
        Union[int, None],
        Doc(
            """

                // The system scoped dependencies will be present in the classloader for the plugin
                return;
            }
        }

        fail("Can't find the system scoped dependency in the plugin artifacts.");
    }

    // -----------------------------------------------------------------------------------------------
    // Testing help

                }
            } else {
                System.out.print(result);
                System.out.flush();
            }
        } catch (IOException e) {
            // If jvm.config exists but can't be read, this is a configuration error
            // Print clear error and exit with error code to prevent Maven from running
            System.err.println("ERROR: Failed to read .mvn/jvm.config: " + e.getMessage());

        MavenProject project = getProjectWithDependencies(f);

        Artifact artifact;

        assertNotNull(project, "Test project can't be null!");

        checkArtifactIdScope(project, "provided", "provided");
        checkArtifactIdScope(project, "test", "test");
        checkArtifactIdScope(project, "compile", "compile");

* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

/// info

Keep in mind that dataclasses can't do everything Pydantic models can do.

So, you might still need to use Pydantic models.

But if you have a bunch of dataclasses laying around, this is a nice trick to use them to power a web API using FastAPI. 🤓

///

type wrapperConnPool struct {
	db     *sql.DB
	got    []string
	expect []string
}

func (c *wrapperConnPool) Ping() error {
	return c.db.Ping()
}

// If you use BeginTx returned *sql.Tx as shown below then you can't record queries in a transaction.
//
//	func (c *wrapperConnPool) BeginTx(ctx context.Context, opts *sql.TxOptions) (*sql.Tx, error) {
//		 return c.db.BeginTx(ctx, opts)
//	}
//

            This is mainly a hack for compatibility with SQLAlchemy objects, they
            store internal SQLAlchemy-specific state in attributes named with `_sa`,
            and those objects can't (and shouldn't be) serialized to JSON.
            """
        ),
    ] = True,
) -> Any:
    """
    Convert any object to something that can be encoded in JSON.

			restoreHdr: `ongoing-request="true"`,
			expectedStatus: restoreObjStatus{
				ongoing: true,
			},
			expectedErr: nil,
		},
		{
			// invalid; ongoing restore object request can't have expiry set on it.
			restoreHdr:     `ongoing-request="true", expiry-date="Fri, 21 Dec 2012 00:00:00 GMT"`,
			expectedStatus: restoreObjStatus{},
			expectedErr:    errRestoreHDRMalformed,
		},
		{

	case BatchJobExpireObject:
	case BatchJobExpireDeleted:
		if len(ef.Tags) > 0 || len(ef.Metadata) > 0 {
			return BatchJobYamlErr{
				line: ef.line,
				col:  ef.col,
				msg:  "delete type filter can't have tags or metadata",
			}
		}
	default:
		return BatchJobYamlErr{
			line: ef.line,
			col:  ef.col,
			msg:  "invalid batch-expire type",
		}
	}

	for _, tag := range ef.Tags {

  - SSE (Server Side Encryption)
  - Replication (Server Side Replication)

## Prerequisites

- It is assumed you have users created and configured with relevant access policies, to start with
  use basic "readwrite" canned policy to test all the operations before you finalize on what level
  of restrictions are needed for a user.

- No "admin:*" operations are needed for FTP/SFTP access to the bucket(s) and object(s), so you may