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  1. ft_Vector_Transform :: FT_Matrix -> FT_Vector -> FT_Vector

    freetype2 FreeType.Support.Computations

    No documentation available.

  2. ft_Vector_Unit :: FT_Angle -> FT_Vector

    freetype2 FreeType.Support.Computations

    No documentation available.

  3. ft_Vector_From_Polar' :: Ptr FT_Vector -> FT_Fixed -> FT_Angle -> IO ()

    freetype2 FreeType.Support.Computations.Internal

    No documentation available.

  4. ft_Vector_Length' :: Ptr FT_Vector -> IO FT_Fixed

    freetype2 FreeType.Support.Computations.Internal

    No documentation available.

  5. ft_Vector_Polarize' :: Ptr FT_Vector -> Ptr FT_Fixed -> Ptr FT_Angle -> IO ()

    freetype2 FreeType.Support.Computations.Internal

    No documentation available.

  6. ft_Vector_Rotate' :: Ptr FT_Vector -> FT_Angle -> IO ()

    freetype2 FreeType.Support.Computations.Internal

    No documentation available.

  7. ft_Vector_Transform' :: Ptr FT_Vector -> Ptr FT_Matrix -> IO ()

    freetype2 FreeType.Support.Computations.Internal

    No documentation available.

  8. ft_Vector_Unit' :: Ptr FT_Vector -> FT_Angle -> IO ()

    freetype2 FreeType.Support.Computations.Internal

    No documentation available.

  9. gramVector :: Text -> Int -> HashMap Text Int

    fuzzyset Data.FuzzySet.Internal

    Generate a list of n-grams (character substrings) from the normalized input and then translate this into a dictionary with the n-grams as keys mapping to the number of occurences of the substring in the list. 

    >>> gramVector "xxxx" 2
fromList [("-x",1), ("xx",3), ("x-",1)]
    The substring "xx" appears three times in the normalized string: 
    >>> grams "xxxx" 2
["-x","xx","xx","xx","x-"]

    >>> Data.HashMap.Strict.lookup "nts" (gramVector "intrent'srestaurantsomeoftrent'saunt'santswantsamtorentsomepants" 3)
Just 8

  10. module Grisette.Internal.Core.Data.Class.BitVector

    No documentation available.

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