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| -rw-r--r-- | doc/source/reference/random/new-or-different.rst | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/doc/source/reference/random/new-or-different.rst b/doc/source/reference/random/new-or-different.rst index b3bddb443..ed55c71bf 100644 --- a/doc/source/reference/random/new-or-different.rst +++ b/doc/source/reference/random/new-or-different.rst @@ -69,18 +69,18 @@ And in more detail: from numpy.random import Generator, PCG64 import numpy.random rg = Generator(PCG64()) - %timeit rg.standard_normal(100000) - %timeit numpy.random.standard_normal(100000) + %timeit -n 1 rg.standard_normal(100000) + %timeit -n 1 numpy.random.standard_normal(100000) .. ipython:: python - %timeit rg.standard_exponential(100000) - %timeit numpy.random.standard_exponential(100000) + %timeit -n 1 rg.standard_exponential(100000) + %timeit -n 1 numpy.random.standard_exponential(100000) .. ipython:: python - %timeit rg.standard_gamma(3.0, 100000) - %timeit numpy.random.standard_gamma(3.0, 100000) + %timeit -n 1 rg.standard_gamma(3.0, 100000) + %timeit -n 1 numpy.random.standard_gamma(3.0, 100000) * Optional ``dtype`` argument that accepts ``np.float32`` or ``np.float64`` to produce either single or double prevision uniform random variables for |