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  1. sortByM :: Monad m => (a -> a -> m Ordering) -> [a] -> m [a]

    monadlist Control.Monad.ListM

    No documentation available.

  2. sortM :: (Ord a, Monad m) => [a] -> m [a]

    monadlist Control.Monad.ListM

    No documentation available.

  3. sortKey :: NaturalSort a => a -> SortKey

    natural-sort Algorithms.NaturalSort

    Split a sortable type into textual and numeric sections, with no collation transformation. If advanced collation is required, either pre-transform the input (using eg toLower) or use sortKeyCollated.

  4. sortKeyCollated :: NaturalSort a => (Text -> ByteString) -> a -> SortKey

    natural-sort Algorithms.NaturalSort

    Split a sortable type into textual and numeric sections, using a custom collation transformation. This is useful for providing language- or use-specific ordering.

  5. sortElem :: Ord a => [(a, prob)] -> [(a, prob)]

    probability Numeric.Probability.Distribution

    No documentation available.

  6. sortP :: Ord prob => [(a, prob)] -> [(a, prob)]

    probability Numeric.Probability.Distribution

    No documentation available.

  7. sortPDesc :: Ord prob => [(a, prob)] -> [(a, prob)]

    probability Numeric.Probability.Distribution

    No documentation available.

  8. sortBy :: (a -> a -> Ordering) -> [a] -> [a]

    sort Data.Sort

    The sortBy function is the non-overloaded version of sort. The argument must be finite. The supplied comparison relation is supposed to be reflexive and antisymmetric, otherwise, e. g., for _ _ -> GT, the ordered list simply does not exist. The relation is also expected to be transitive: if it is not then sortBy might fail to find an ordered permutation, even if it exists.

    Examples

    >>> sortBy (\(a,_) (b,_) -> compare a b) [(2, "world"), (4, "!"), (1, "Hello")]
    [(1,"Hello"),(2,"world"),(4,"!")]
    

  9. sortOn :: Ord b => (a -> b) -> [a] -> [a]

    sort Data.Sort

    Sort a list by comparing the results of a key function applied to each element. sortOn f is equivalent to sortBy (comparing f), but has the performance advantage of only evaluating f once for each element in the input list. This is called the decorate-sort-undecorate paradigm, or Schwartzian transform. Elements are arranged from lowest to highest, keeping duplicates in the order they appeared in the input. The argument must be finite.

    Examples

    >>> sortOn fst [(2, "world"), (4, "!"), (1, "Hello")]
    [(1,"Hello"),(2,"world"),(4,"!")]
    
    >>> sortOn length ["jim", "creed", "pam", "michael", "dwight", "kevin"]
    ["jim","pam","creed","kevin","dwight","michael"]
    

    Performance notes

    This function minimises the projections performed, by materialising the projections in an intermediate list. For trivial projections, you should prefer using sortBy with comparing, for example:
    >>> sortBy (comparing fst) [(3, 1), (2, 2), (1, 3)]
    [(1,3),(2,2),(3,1)]
    
    Or, for the exact same API as sortOn, you can use `sortBy . comparing`:
    >>> (sortBy . comparing) fst [(3, 1), (2, 2), (1, 3)]
    [(1,3),(2,2),(3,1)]
    

  10. sortBy :: Configuration -> String

    sphinx Text.Search.Sphinx

    Attribute to sort by

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