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author | Robert Kern <robert.kern@gmail.com> | 2019-06-27 09:58:07 -0700 |
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committer | Robert Kern <robert.kern@gmail.com> | 2019-06-27 09:58:07 -0700 |
commit | 6b3e58acbba8b93600de303031a9e0a001a040ea (patch) | |
tree | e05de3c23c188d09dd2ae248f4bf78f519d35f59 /doc/source/reference | |
parent | ffbc6b15e3269ef71fa6400889d358c2c5de5a20 (diff) | |
download | numpy-6b3e58acbba8b93600de303031a9e0a001a040ea.tar.gz |
DOC: typo
Diffstat (limited to 'doc/source/reference')
-rw-r--r-- | doc/source/reference/random/index.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/source/reference/random/index.rst b/doc/source/reference/random/index.rst index 89dcacce3..dca2bc2a6 100644 --- a/doc/source/reference/random/index.rst +++ 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 |