Source code for gemseo.uncertainty.distributions.scipy.weibull
# 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.
#
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# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
"""The SciPy-based Weibull distribution."""
from __future__ import annotations
from gemseo.uncertainty.distributions.base_settings.weibull_settings import _LOCATION
from gemseo.uncertainty.distributions.base_settings.weibull_settings import _SCALE
from gemseo.uncertainty.distributions.base_settings.weibull_settings import _SHAPE
from gemseo.uncertainty.distributions.base_settings.weibull_settings import (
_USE_WEIBULL_MIN,
)
from gemseo.uncertainty.distributions.scipy.distribution import SPDistribution
from gemseo.uncertainty.distributions.scipy.weibull_settings import (
SPWeibullDistribution_Settings,
)
[docs]
class SPWeibullDistribution(SPDistribution):
"""The SciPy-based Weibull distribution."""
Settings = SPWeibullDistribution_Settings
def __init__(
self,
location: float = _LOCATION,
scale: float = _SCALE,
shape: float = _SHAPE,
use_weibull_min: bool = _USE_WEIBULL_MIN,
settings: SPWeibullDistribution_Settings | None = None,
) -> None:
r"""
Args:
location: The location parameter of the Weibull distribution.
scale: The scale parameter of the Weibull distribution.
shape: The shape parameter of the Weibull distribution.
use_weibull_min: Whether to use
the Weibull minimum extreme value distribution
(the support of the random variable is :math:`[\gamma,+\infty[`)
or the Weibull maximum extreme value distribution
(the support of the random variable is :math:`]-\infty[,\gamma]`).
""" # noqa: D205,D212,D415
if settings is None:
settings = SPWeibullDistribution_Settings(
location=location,
scale=scale,
shape=shape,
use_weibull_min=use_weibull_min,
)
super().__init__(
interfaced_distribution="weibull_min"
if settings.use_weibull_min
else "weibull_max",
parameters={
"loc": settings.location,
"scale": settings.scale,
"c": settings.shape,
},
standard_parameters={
self._LOCATION: settings.location,
self._SCALE: settings.scale,
self._SHAPE: settings.shape,
},
)