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authorV3n3RiX <venerix@koprulu.sector>2023-10-23 08:35:49 +0100
committerV3n3RiX <venerix@koprulu.sector>2023-10-23 08:35:49 +0100
commit386855c4d1ef509c1fd32abd721589c81669613b (patch)
tree35dc984118f0a7dc2df88313d83bb5779fd12514 /dev-haskell/mwc-random/metadata.xml
parent0118ac4510d7b85ca62da20e4abd1286dd8bd752 (diff)
gentoo auto-resync : 23:10:2023 - 08:35:49
Diffstat (limited to 'dev-haskell/mwc-random/metadata.xml')
-rw-r--r--dev-haskell/mwc-random/metadata.xml15
1 files changed, 1 insertions, 14 deletions
diff --git a/dev-haskell/mwc-random/metadata.xml b/dev-haskell/mwc-random/metadata.xml
index 3bcd47064ae2..c6a1cbc7566e 100644
--- a/dev-haskell/mwc-random/metadata.xml
+++ b/dev-haskell/mwc-random/metadata.xml
@@ -5,21 +5,8 @@
<email>haskell@gentoo.org</email>
<name>Gentoo Haskell</name>
</maintainer>
- <longdescription>
- This package contains code for generating high quality random
- numbers that follow either a uniform or normal distribution. The
- generated numbers are suitable for use in statistical applications.
-
- The uniform PRNG uses Marsaglia's MWC256 (also known as MWC8222)
- multiply-with-carry generator, which has a period of 2^8222 and
- fares well in tests of randomness. It is also extremely fast,
- between 2 and 3 times faster than the Mersenne Twister.
-
- Compared to the mersenne-random package, this package has a more
- convenient API, is faster, and supports more statistical
- distributions.
- </longdescription>
<upstream>
+ <remote-id type="hackage">mwc-random</remote-id>
<remote-id type="github">bos/mwc-random</remote-id>
</upstream>
</pkgmetadata>