Cabal revisions of mwc-probability-2.0.4

Hackage metadata revisions edit the .cabal file after upload; each diff below is one revision.

-name:                mwc-probability-version:             2.0.4-homepage:            http://github.com/jtobin/mwc-probability-license:             MIT-license-file:        LICENSE-author:              Jared Tobin, Marco Zocca-maintainer:          jared@jtobin.ca, zocca.marco gmail-category:            Math-build-type:          Simple-cabal-version:       >= 1.10-tested-with:         GHC == 8.0.2, GHC == 8.2.2 , GHC == 8.4.2-synopsis:            Sampling function-based probability distributions.-description:--  A simple probability distribution type, where distributions are characterized-  by sampling functions.-  .-  This implementation is a thin layer over @mwc-random@, which handles RNG-  state-passing automatically by using a @PrimMonad@ like @IO@ or @ST s@ under-  the hood.-  .-  /Examples/-  .-  Transform a distribution's support while leaving its density structure-  invariant:-  .-  > -- uniform over [0, 1] to uniform over [1, 2]-  > fmap succ uniform-  .-  Sequence distributions together using bind:-  .-  > -- a beta-binomial compound distribution-  > beta 1 10 >>= binomial 10-  .-  Use do-notation to build complex joint distributions from composable,-  local conditionals:-  .-  > hierarchicalModel = do-  >   [c, d, e, f] <- replicateM 4 $ uniformR (1, 10)-  >   a <- gamma c d-  >   b <- gamma e f-  >   p <- beta a b-  >   n <- uniformR (5, 10)-  >   binomial n p-extra-source-files:  README.md-                     CHANGELOG--Source-repository head-  Type:     git-  Location: http://github.com/jtobin/mwc-probability.git--library-  exposed-modules:     System.Random.MWC.Probability-  default-language:    Haskell2010-  hs-source-dirs:      src-  build-depends:-      base          >=  4.8 && < 6-    , mwc-random    >   0.13 && < 0.14-    , primitive     >=  0.6 && < 1.0-    , transformers  >=  0.5 && < 1.0-+name:                mwc-probability
+version:             2.0.4
+x-revision: 1
+homepage:            http://github.com/jtobin/mwc-probability
+license:             MIT
+license-file:        LICENSE
+author:              Jared Tobin, Marco Zocca
+maintainer:          jared@jtobin.ca, zocca.marco gmail
+category:            Math
+build-type:          Simple
+cabal-version:       >= 1.10
+tested-with:         GHC == 8.0.2, GHC == 8.2.2 , GHC == 8.4.2
+synopsis:            Sampling function-based probability distributions.
+description:
+
+  A simple probability distribution type, where distributions are characterized
+  by sampling functions.
+  .
+  This implementation is a thin layer over @mwc-random@, which handles RNG
+  state-passing automatically by using a @PrimMonad@ like @IO@ or @ST s@ under
+  the hood.
+  .
+  /Examples/
+  .
+  Transform a distribution's support while leaving its density structure
+  invariant:
+  .
+  > -- uniform over [0, 1] to uniform over [1, 2]
+  > fmap succ uniform
+  .
+  Sequence distributions together using bind:
+  .
+  > -- a beta-binomial compound distribution
+  > beta 1 10 >>= binomial 10
+  .
+  Use do-notation to build complex joint distributions from composable,
+  local conditionals:
+  .
+  > hierarchicalModel = do
+  >   [c, d, e, f] <- replicateM 4 $ uniformR (1, 10)
+  >   a <- gamma c d
+  >   b <- gamma e f
+  >   p <- beta a b
+  >   n <- uniformR (5, 10)
+  >   binomial n p
+extra-source-files:  README.md
+                     CHANGELOG
+
+Source-repository head
+  Type:     git
+  Location: http://github.com/jtobin/mwc-probability.git
+
+library
+  exposed-modules:     System.Random.MWC.Probability
+  default-language:    Haskell2010
+  hs-source-dirs:      src
+  build-depends:
+      base          >=  4.8 && < 6
+    , mwc-random    >   0.13 && < 0.15
+    , primitive     >=  0.6 && < 1.0
+    , transformers  >=  0.5 && < 1.0
+