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  1. topSort :: Ord a => AdjacencyMap a -> Either (Cycle a) [a]

    algebraic-graphs Algebra.Graph.AdjacencyMap.Algorithm

    Compute a topological sort of a graph or discover a cycle. Vertices are explored in the decreasing order according to their Ord instance. This gives the lexicographically smallest topological ordering in the case of success. In the case of failure, the cycle is characterized by being the lexicographically smallest up to rotation with respect to Ord (Dual Int) in the first connected component of the graph containing a cycle, where the connected components are ordered by their largest vertex with respect to Ord a. Complexity: O((n + m) * min(n,W)) time and O(n) space.

    topSort (1 * 2 + 3 * 1)                    == Right [3,1,2]
    topSort (path [1..5])                      == Right [1..5]
    topSort (3 * (1 * 4 + 2 * 5))              == Right [3,1,2,4,5]
    topSort (1 * 2 + 2 * 1)                    == Left (2 :| [1])
    topSort (path [5,4..1] + edge 2 4)         == Left (4 :| [3,2])
    topSort (circuit [1..3])                   == Left (3 :| [1,2])
    topSort (circuit [1..3] + circuit [3,2,1]) == Left (3 :| [2])
    topSort (1 * 2 + (5 + 2) * 1 + 3 * 4 * 3)  == Left (1 :| [2])
    fmap (flip isTopSortOf x) (topSort x)      /= Right False
    isRight . topSort                          == isAcyclic
    topSort . vertices                         == Right . nub . sort
    

  2. isTopSortOf :: ToGraph t => [ToVertex t] -> t -> Bool

    algebraic-graphs Algebra.Graph.ToGraph

    Check if a given list of vertices is a valid topological sort of a graph.

    isTopSortOf vs == Algebra.Graph.AdjacencyMap.isTopSortOf vs . toAdjacencyMap
    

  3. topSort :: ToGraph t => t -> Either (Cycle (ToVertex t)) [ToVertex t]

    algebraic-graphs Algebra.Graph.ToGraph

    Compute the topological sort of a graph or a AM.Cycle if the graph is cyclic.

    topSort == Algebra.Graph.AdjacencyMap.topSort . toAdjacencyMap
    

  4. topSort :: GraphKL a -> [a]

    algebraic-graphs Data.Graph.Typed

    Compute the topological sort of a graph. Note that this function returns a result even if the graph is cyclic. In the following examples we will use the helper function:

    (%) :: Ord a => (GraphKL a -> b) -> AdjacencyMap a -> b
    f % x = f (fromAdjacencyMap x)
    
    for greater clarity.
    topSort % (1 * 2 + 3 * 1) == [3,1,2]
    topSort % (1 * 2 + 2 * 1) == [1,2]
    

  5. showCSSortedByFrequency :: ConflictMap -> ConflictSet -> String

    cabal-install-solver Distribution.Solver.Modular.ConflictSet

    No documentation available.

  6. topSort :: Graph e -> [Vertex]

    cabal-install-solver Distribution.Solver.Modular.LabeledGraph

    No documentation available.

  7. mergeSortIn :: PrimMonad m => MReqAuxiliary (PrimState m) -> DoubleBuffer (PrimState m) -> Word64 -> Int -> m ()

    data-sketches-core DataSketches.Quantiles.RelativeErrorQuantile.Internal.Auxiliary

    No documentation available.

  8. isSorted :: PrimMonad m => DoubleBuffer (PrimState m) -> m Bool

    data-sketches-core DataSketches.Quantiles.RelativeErrorQuantile.Internal.DoubleBuffer

    No documentation available.

  9. mergeSortIn :: (PrimMonad m, HasCallStack) => DoubleBuffer (PrimState m) -> DoubleBuffer (PrimState m) -> m ()

    data-sketches-core DataSketches.Quantiles.RelativeErrorQuantile.Internal.DoubleBuffer

    Merges the incoming sorted buffer into this sorted buffer.

  10. toAscListSortedOn :: (a -> String) -> Set a -> [a]

    distribution-nixpkgs Language.Nix.PrettyPrinting

    No documentation available.

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