"""This subpackage provides tools to define hyperparameter and neural architecture search problems. Some features of this module are based on the `ConfigSpace <https://automl.github.io/ConfigSpace/master/>`_ project. The main classes provided by this module are:

- :class:`deephyper.problem.HpProblem`: A class to define a hyperparameter search problem.

- :class:`deephyper.problem.NaProblem`: A class to define a neural architecture search problem.

"""

from ConfigSpace import * # noqa: F401, F403

from ._hyperparameter import HpProblem

__all__ = ["HpProblem"]

# make import of NaProblem optional

try:

from ._neuralarchitecture import NaProblem # noqa: F401

__all__.append("NaProblem")

except ModuleNotFoundError as e:

if "tensorflow" in str(e):

pass

elif "networkx" in str(e):

pass

else:

raise e

__all__ = ["HpProblem"]