Source code for gemseo.uncertainty.distributions.factory

# Copyright 2021 IRT Saint Exupéry, https://www.irt-saintexupery.com
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License version 3 as published by the Free Software Foundation.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, USA.
# Contributors:
#    INITIAL AUTHORS - initial API and implementation and/or initial
#                           documentation
#        :author: Francois Gallard, Matthias De Lozzo
#    OTHER AUTHORS   - MACROSCOPIC CHANGES
"""A factory of probability distributions."""

from __future__ import annotations

from typing import TYPE_CHECKING
from typing import Any

from gemseo.core.base_factory import BaseFactory
from gemseo.uncertainty.distributions.base_distribution import BaseDistribution
from gemseo.utils.string_tools import pretty_str

if TYPE_CHECKING:
    from collections.abc import Sequence

    from gemseo.uncertainty.distributions.base_joint import BaseJointDistribution


[docs] class DistributionFactory(BaseFactory): """A factory of probability distributions.""" _CLASS = BaseDistribution _MODULE_NAMES = ("gemseo.uncertainty.distributions",)
[docs] def create_marginal_distribution( self, distribution_name: str, **parameters: Any, ) -> BaseDistribution: """Create a marginal probability distribution for a given random variable. Args: distribution_name: The name of a class defining a distribution. **parameters: The parameters of the distribution. Returns: The marginal probability distribution. """ return super().create(distribution_name, **parameters)
create = create_marginal_distribution
[docs] def create_joint_distribution( self, distributions: Sequence[BaseDistribution], copula: Any = None, ) -> BaseJointDistribution: """Create a joint probability distribution from marginal ones. Args: distributions: The marginal distributions. copula: A copula distribution defining the dependency structure between random variables; if ``None``, consider an independent copula. Returns: The joint probability distribution. """ identifiers = {dist.__class__.__name__[0:2] for dist in distributions} if len(identifiers) > 1: msg = ( "A joint probability distribution cannot mix distributions " f"with different identifiers; got {pretty_str(identifiers)}." ) raise ValueError(msg) return super().create( f"{next(iter(identifiers))}JointDistribution", distributions=distributions, copula=copula, )