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""" ====================================================== Random Number Generators (:mod:`scipy.stats.sampling`) ====================================================== .. currentmodule:: scipy.stats.sampling This module contains a collection of random number generators to sample from univariate continuous and discrete distributions. It uses the implementation of a C library called "UNU.RAN". The only exception is RatioUniforms, which is a pure Python implementation of the Ratio-of-Uniforms method. Generators Wrapped ================== For continuous distributions ---------------------------- .. autosummary:: :toctree: generated/ NumericalInverseHermite NumericalInversePolynomial TransformedDensityRejection SimpleRatioUniforms RatioUniforms For discrete distributions -------------------------- .. autosummary:: :toctree: generated/ DiscreteAliasUrn DiscreteGuideTable Warnings / Errors used in :mod:`scipy.stats.sampling` ----------------------------------------------------- .. autosummary:: :toctree: generated/ UNURANError Generators for pre-defined distributions ======================================== To easily apply the above methods for some of the continuous distributions in :mod:`scipy.stats`, the following functionality can be used: .. autosummary:: :toctree: generated/ FastGeneratorInversion """ from ._sampling import FastGeneratorInversion, RatioUniforms # noqa: F401 from ._unuran.unuran_wrapper import ( # noqa: F401 TransformedDensityRejection, DiscreteAliasUrn, DiscreteGuideTable, NumericalInversePolynomial, NumericalInverseHermite, SimpleRatioUniforms, UNURANError ) __all__ = ["NumericalInverseHermite", "NumericalInversePolynomial", "TransformedDensityRejection", "SimpleRatioUniforms", "RatioUniforms", "DiscreteAliasUrn", "DiscreteGuideTable", "UNURANError", "FastGeneratorInversion"]