Cabal revisions of genprog-0.1

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

-Name:                genprog-Version:             0.1-Synopsis:            Genetic programming library-License:             BSD3-License-file:        LICENSE-Author:              Jan Snajder-Maintainer:          jan.snajder@fer.hr-Copyright:           (c) 2010 Jan Snajder-Category:            AI, Algorithms, Optimisation-Stability:           Experimental-Build-type:          Simple-Cabal-version:       >= 1.6-Description:-  This package provides a /genetic programming/ framework. Genetic-  programming is an evolutionary technique, inspired by biological-  evolution, to evolve programs for solving specific problems. A genetic-  program is represented by a value of an algebraic datatype and-  associated with a custom-defined /fitness/ value indicating the quality-  of the solution. Starting from a randomly generated initial population-  of genetic programs, the genetic operators of /selection/, /crossover/,-  and /mutation/ are used to evolve programs of increasingly better-  quality.--Library-  Exposed-modules: -    GenProg, GenProg.GenExpr, GenProg.GenExpr.Data-  Build-depends: -    base == 4.*, syb >= 0.1.0.2, syz >= 0.2, MonadRandom >= 0.1.5-  Extensions:-    MultiParamTypeClasses, FunctionalDependencies, -    NoMonomorphismRestriction, ScopedTypeVariables, FlexibleInstances, -    Rank2Types, UndecidableInstances, DeriveDataTypeable+Name:                genprog
+Version:             0.1
+x-revision: 1
+Synopsis:            Genetic programming library
+License:             BSD3
+License-file:        LICENSE
+Author:              Jan Snajder
+Maintainer:          jan.snajder@fer.hr
+Copyright:           (c) 2010 Jan Snajder
+Category:            AI, Algorithms, Optimisation
+Stability:           Experimental
+Build-type:          Simple
+Cabal-version:       >= 1.6
+Description:
+  This package provides a /genetic programming/ framework. Genetic
+  programming is an evolutionary technique, inspired by biological
+  evolution, to evolve programs for solving specific problems. A genetic
+  program is represented by a value of an algebraic datatype and
+  associated with a custom-defined /fitness/ value indicating the quality
+  of the solution. Starting from a randomly generated initial population
+  of genetic programs, the genetic operators of /selection/, /crossover/,
+  and /mutation/ are used to evolve programs of increasingly better
+  quality.
+
+Library
+  Exposed-modules: 
+    GenProg, GenProg.GenExpr, GenProg.GenExpr.Data
+  Build-depends: 
+    base >= 4 && < 4.6, syb >= 0.1.0.2, syz >= 0.2, MonadRandom >= 0.1.5
+  Extensions:
+    MultiParamTypeClasses, FunctionalDependencies, 
+    NoMonomorphismRestriction, ScopedTypeVariables, FlexibleInstances, 
+    Rank2Types, UndecidableInstances, DeriveDataTypeable