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recursive revbump after patching lang/ghc910

Bump all Haskell packages after switching the default compiler.

math/hs-mwc-random: update to mwc-random-0.15.2.0

## Changes in 0.15.2.0

  * Support for `random-1.3`.


## Changes in 0.15.1.0

  * Additon of binomial sampler using the rejection sampling method in
    Kachitvichyanukul, V. and Schmeiser, B. W.  Binomial Random
    Variate Generation.  Communications of the ACM, 31, 2 (February,
    1988) 216. <https://dl.acm.org/doi/pdf/10.1145/42372.42381>. A more
    efficient basis for e.g. the beta binomial distribution:
	`beta a b g >>= \p -> binomial n p g`.

Recursive revbump after changing the default Haskell compiler

Revbump all Haskell after updating lang/ghc96

Bump Haskell packages after updating lang/ghc94

revbump all the Haskell packages after modifying the runtime system of lang/ghc94

hs*: recursive bump for new dependencies needed

for hs-aeson, hs-vector

Bump all Haskell packages after enabling "split sections" in mk/haskell.mk

revbump after changing the default Haskell compiler

Update to mwc-random-0.15.0.2

Changes in 0.15.0.2
    Doctests on 32-bit platforms are fixed. (#79)

Bump packages that depends on GHC

*: Bump PKGREVISION for ghc-9.0.1

Update to mwc-random-0.15.0.1

Changes in 0.15.0.1
* Bug in generation of Int/Word in both uniform and uniformR is
  fixed. (#75)

Changes in 0.15.0.0
* withSystemRandomST and createSystemSeed are added.
* withSystemRandom is deprecated.
* random>=1.2 is dependency of mwc-random.
* Instances for type classes StatefulGen & FrozenGen defined in
  random-1.2 are added for Gen.
* Functions in System.Random.MWC.Distributions and
  System.Random.MWC.CondensedTable now work with arbitrary StatefulGen
* System.Random.MWC.uniformVector now works with arbitrary StatefulGen
  as well and uses in-place initialization instead of generateM. It
  should be faster for anything but IO and ST (those shoud remain
  same).

Update to mwc-random-0.14.0.0

Changes in 0.14.0.0
* Low level functions for acquiring random data for initialization of
  PRGN state is moved to System.Random.MWC.SeedSource module
* Ensure that carry is always correct when restoring PRNG state from
  seed. Only affects users who create 258 element seed manually. (#63,
  #65)

Changes in 0.13.6.0
* tablePoisson now can handle λ>1923, see #59 for details. That
  required intoduction of dependency on math-functions.

Changes in 0.13.5.0
* logCategorical added

Changes in 0.13.4.0
* withSystemRandom uses RtlGenRandom for seeding generator on windows

Update to 0.13.3.2

ChangeLog:
Changes in 0.13.3.1

  * primitive-0.6 compatibility


Changes in 0.13.3.0

  * Monadic variant of vector shuffle added: `uniformShuffleM`

  * Context on `uniformShuffle` loosened


Changes in 0.13.2.2

  * Fixed crash during gen. initialization on Windows when stderr
    is not available (#36).

Because this error:
  ERROR: hs-primitive>=0.5.4 is not installed; can't buildlink files.
Bump PKGREVISION for hs-primitive-0.5.4.0

Bump PKGREVISION for hs-vector-0.10.12.1

make it clear what package depend on

discussed with wiz@.

Import mwc-random-0.13.2.0 as math/hs-mwc-random,
packaged for wip.

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.