From: =?utf-8?q?Timo_R=C3=B6hling?= Date: Fri, 10 Oct 2025 12:41:02 +0200 Subject: Make random numbers in documentation reproducible --- doc/source/conf.py | 5 +++++ doc/source/reference/random/new-or-different.rst | 19 ------------------- 2 files changed, 5 insertions(+), 19 deletions(-) diff --git a/doc/source/conf.py b/doc/source/conf.py index fa988ea..f02f9bb 100644 --- a/doc/source/conf.py +++ b/doc/source/conf.py @@ -628,3 +628,8 @@ try_examples_global_warning_text = ( " report them on the" " [NumPy issue tracker](https://github.com/numpy/numpy/issues)." ) + +# Reseed numpy random generator for reproducible documentation +numpy.random.seed(42) +numpy.random.default_rng = lambda seed=None, actual_default_rng=numpy.random.default_rng: actual_default_rng(seed if seed is not None else 42) + diff --git a/doc/source/reference/random/new-or-different.rst b/doc/source/reference/random/new-or-different.rst index 44cf7aa..581cd4e 100644 --- a/doc/source/reference/random/new-or-different.rst +++ b/doc/source/reference/random/new-or-different.rst @@ -44,25 +44,6 @@ Feature Older Equivalent Notes `~.Generator.standard_gamma`. Because of the change in algorithms, it is not possible to reproduce the exact random values using `Generator` for these distributions or any distribution method that relies on them. - -.. ipython:: python - - import numpy.random - rng = np.random.default_rng() - %timeit -n 1 rng.standard_normal(100000) - %timeit -n 1 numpy.random.standard_normal(100000) - -.. ipython:: python - - %timeit -n 1 rng.standard_exponential(100000) - %timeit -n 1 numpy.random.standard_exponential(100000) - -.. ipython:: python - - %timeit -n 1 rng.standard_gamma(3.0, 100000) - %timeit -n 1 numpy.random.standard_gamma(3.0, 100000) - - * `~.Generator.integers` is now the canonical way to generate integer random numbers from a discrete uniform distribution. This replaces both `randint` and the deprecated `random_integers`.