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authorRobert Kern <robert.kern@gmail.com>2019-06-27 09:58:07 -0700
committerRobert Kern <robert.kern@gmail.com>2019-06-27 09:58:07 -0700
commit6b3e58acbba8b93600de303031a9e0a001a040ea (patch)
treee05de3c23c188d09dd2ae248f4bf78f519d35f59 /doc/source/reference
parentffbc6b15e3269ef71fa6400889d358c2c5de5a20 (diff)
downloadnumpy-6b3e58acbba8b93600de303031a9e0a001a040ea.tar.gz
DOC: typo
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diff --git a/doc/source/reference/random/index.rst b/doc/source/reference/random/index.rst
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+++ b/doc/source/reference/random/index.rst
@@ -134,7 +134,7 @@ What's New or Different
* `~.Generator.random` is now the canonical way to generate floating-point
random numbers, which replaces `random_sample`, `sample`, and `ranf`. This
is consistent with Python's `random.random`.
-* All BitGenerators in numpy use `~SeedSequence` to process convert seeds into
+* All BitGenerators in numpy use `~SeedSequence` to convert seeds into
initialized states.
See :ref:`new-or-different` for a complete list of improvements and