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1. module System.Random

   This library deals with the common task of pseudo-random number generation.

2. class Random a

   random	System.Random

   The class of types for which random values can be generated. Most instances of Random will produce values that are uniformly distributed on the full range, but for those types without a well-defined "full range" some sensible default subrange will be selected. Random exists primarily for backwards compatibility with version 1.1 of this library. In new code, use the better specified Uniform and UniformRange instead.

3. class Random a

   tf-random	System.Random.TF.Instances

   No documentation available.

4. module TextShow.System.Random

   TextShow instances for StdGen. Since: 2

5. random :: (Random a, RandomGen g) => g -> (a, g)

   random	System.Random

   The same as randomR, but using a default range determined by the type:

   • For bounded types (instances of Bounded, such as Char), the range is normally the whole type.
   • For floating point types, the range is normally the closed interval [0,1].
   • For Integer, the range is (arbitrarily) the range of Int.

6. random :: (Random a, RandomGen g) => g -> (a, g)

   tf-random	System.Random.TF.Instances

   No documentation available.

7. random :: MTRandom a => MTGen -> IO a

   mersenne-random	System.Random.Mersenne

   The same as randomR, but using a default range determined by the type:

   • For bounded types (instances of Bounded, such as Char), the range is normally the whole type.
   • For fractional types, the range is normally the semi-closed interval [0,1).
   • For Integer, the range is (arbitrarily) the range of Int.

8. class RandomGen g

   random	System.Random

   RandomGen is an interface to pure pseudo-random number generators. StdGen is the standard RandomGen instance provided by this library.

9. class (RandomGen r, StatefulGen g m) => RandomGenM g r (m :: Type -> Type) | g -> r

   random	System.Random.Stateful

   Interface to operations on RandomGen wrappers like IOGenM and StateGenM.

10. class RandomGen g

    tf-random	System.Random.TF.Gen

    Alternative RandomGen class with a modified next operation, and added splitn and level operations. Using the generator requires that no more than one operation is called on the same generator state, as the implementation does not guarantee pseudorandomness otherwise. As an exception, calling splitn many times on the same generator state is allowed as long as the 'bits' argument is the same for all the calls.

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