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authorAlbert Villanova del Moral <8515462+albertvillanova@users.noreply.github.com>2020-09-25 14:21:31 +0200
committerGitHub <noreply@github.com>2020-09-25 08:21:31 -0400
commit02e6b062027666b22c68d91e280b28f57ee9c2b5 (patch)
treed124174ac3b9dcb374ad5838c9e43d1d72a75b0d
parentffb6f185b5775c612524496e98c8e6240f9bfccd (diff)
downloadnumpy-02e6b062027666b22c68d91e280b28f57ee9c2b5.tar.gz
DOC: random: Fix default_rng docstring (#17375)
-rw-r--r--numpy/random/_generator.pyx2
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/random/_generator.pyx b/numpy/random/_generator.pyx
index e40dcefe3..bff023d7f 100644
--- a/numpy/random/_generator.pyx
+++ b/numpy/random/_generator.pyx
@@ -4521,7 +4521,7 @@ def default_rng(seed=None):
unpredictable entropy will be pulled from the OS. If an ``int`` or
``array_like[ints]`` is passed, then it will be passed to
`SeedSequence` to derive the initial `BitGenerator` state. One may also
- pass in a`SeedSequence` instance
+ pass in a `SeedSequence` instance.
Additionally, when passed a `BitGenerator`, it will be wrapped by
`Generator`. If passed a `Generator`, it will be returned unaltered.