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authorGagandeep Singh <gdp.1807@gmail.com>2021-11-02 11:28:17 +0530
committerGagandeep Singh <gdp.1807@gmail.com>2021-11-02 11:28:17 +0530
commitc04509e86e97a69a0b5fcbeebdbec66faad3dbe0 (patch)
treeb5940db3ad46e55b88d566ec058007dc3c6b7e72 /doc/source/reference/random/performance.rst
parent56647dd47345a7fd24b4ee8d9d52025fcdc3b9ae (diff)
parentfae6fa47a3cf9b9c64af2f5bd11a3b644b1763d2 (diff)
downloadnumpy-c04509e86e97a69a0b5fcbeebdbec66faad3dbe0.tar.gz
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@@ -13,7 +13,7 @@ full-featured, and fast on most platforms, but somewhat slow when compiled for
parallelism would indicate using `PCG64DXSM`.
`Philox` is fairly slow, but its statistical properties have
-very high quality, and it is easy to get assuredly-independent stream by using
+very high quality, and it is easy to get an assuredly-independent stream by using
unique keys. If that is the style you wish to use for parallel streams, or you
are porting from another system that uses that style, then
`Philox` is your choice.