SUSE Package Hub 15 one-click install
Install ghc-rvar
NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled.
See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension
If the extension is not enabled, this installation will fail while trying to enable an invalid repo.
This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered.
SUSE-PackageHub-15-Standard-Pool
Package Hub 15
Dummy repo - this will fail
-
ghc-rvar
Random Variables
Random number generation based on modeling random variables by an abstract type
('RVar') which can be composed and manipulated monadically and sampled in
either monadic or "pure" styles.
The primary purpose of this library is to support defining and sampling a wide
variety of high quality random variables. Quality is prioritized over speed,
but performance is an important goal too.
In my testing, I have found it capable of speed comparable to other Haskell
libraries, but still a fair bit slower than straight C implementations of the
same algorithms.
Changes in 0.2.0.1: Version bump for transformers dependency.
SUSE Package Hub 15 one-click install
Install ghc-rvar
NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled.
See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension
If the extension is not enabled, this installation will fail while trying to enable an invalid repo.
This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered.
SUSE-PackageHub-15-Standard-Pool
Package Hub 15
Dummy repo - this will fail
-
ghc-rvar
Random Variables
Random number generation based on modeling random variables by an abstract type
('RVar') which can be composed and manipulated monadically and sampled in
either monadic or "pure" styles.
The primary purpose of this library is to support defining and sampling a wide
variety of high quality random variables. Quality is prioritized over speed,
but performance is an important goal too.
In my testing, I have found it capable of speed comparable to other Haskell
libraries, but still a fair bit slower than straight C implementations of the
same algorithms.
Changes in 0.2.0.1: Version bump for transformers dependency.