Source code for gemseo.uncertainty.distributions.openturns.triangular

# Copyright 2021 IRT Saint Exupéry, https://www.irt-saintexupery.com
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# Contributors:
#    INITIAL AUTHORS - initial API and implementation and/or initial
#                           documentation
#        :author: Matthias De Lozzo
#    OTHER AUTHORS   - MACROSCOPIC CHANGES
"""The OpenTURNS-based triangular distribution."""

from __future__ import annotations

from gemseo.uncertainty.distributions.openturns.distribution import OTDistribution


[docs] class OTTriangularDistribution(OTDistribution): """The OpenTURNS-based triangular distribution. Examples: >>> from gemseo.uncertainty.distributions.openturns.triangular import ( ... OTTriangularDistribution, ... ) >>> distribution = OTTriangularDistribution("x", -1, 0, 1) >>> print(distribution) Triangular(lower=-1, mode=0, upper=1) """ def __init__( self, variable: str = OTDistribution.DEFAULT_VARIABLE_NAME, minimum: float = 0.0, mode: float = 0.5, maximum: float = 1.0, dimension: int = 1, transformation: str | None = None, lower_bound: float | None = None, upper_bound: float | None = None, threshold: float = 0.5, ) -> None: """ Args: minimum: The minimum of the triangular random variable. mode: The mode of the triangular random variable. maximum: The maximum of the random variable. """ # noqa: D205,D212,D415 super().__init__( variable, "Triangular", (minimum, mode, maximum), dimension, { self._LOWER: minimum, self._MODE: mode, self._UPPER: maximum, }, transformation, lower_bound, upper_bound, threshold, )