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Within LTS Haskell 24.52 (ghc-9.10.3)

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  1. type PlatformChar = PosixChar

    os-string System.OsString.Internal.Types

    No documentation available.

  2. type PlatformString = PosixString

    os-string System.OsString.Internal.Types

    No documentation available.

  3. coercionToPlatformTypes :: Either (Coercion OsChar WindowsChar, Coercion OsString WindowsString) (Coercion OsChar PosixChar, Coercion OsString PosixString)

    os-string System.OsString.Internal.Types

    This is a type-level evidence that OsChar is a newtype wrapper over WindowsChar or PosixChar and OsString is a newtype wrapper over WindowsString or PosixString. If you pattern match on coercionToPlatformTypes, GHC will know that relevant types are coercible to each other. This helps to avoid CPP in certain scenarios.

  4. before :: Extract source => Int -> source -> source

    regex-base Text.Regex.Base.RegexLike

    before is a renamed take.

  5. mrBefore :: MatchResult a -> a

    regex-base Text.Regex.Base.RegexLike

    No documentation available.

  6. module Statistics.Distribution.DiscreteUniform

    The discrete uniform distribution. There are two parametrizations of this distribution. First is the probability distribution on an inclusive interval {1, ..., n}. This is parametrized with n only, where p_1, ..., p_n = 1/n. (discreteUniform). The second parametrization is the uniform distribution on {a, ..., b} with probabilities p_a, ..., p_b = 1/(a-b+1). This is parametrized with a and b. (discreteUniformAB)

  7. data DiscreteUniform

    statistics Statistics.Distribution.DiscreteUniform

    The discrete uniform distribution.

  8. discreteUniform :: Int -> DiscreteUniform

    statistics Statistics.Distribution.DiscreteUniform

    Construct discrete uniform distribution on support {1, ..., n}. Range n must be >0.

  9. discreteUniformAB :: Int -> Int -> DiscreteUniform

    statistics Statistics.Distribution.DiscreteUniform

    Construct discrete uniform distribution on support {a, ..., b}.

  10. module Statistics.Distribution.Transform

    Transformations over distributions

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