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1. toVector :: Matrix -> Vector Double

   dense-linear-algebra	Statistics.Matrix

   Convert to a row-major flat vector.

2. type MVector s = MVector s Double

   dense-linear-algebra	Statistics.Matrix.Mutable

   No documentation available.

3. type MVector s = MVector s Double

   dense-linear-algebra	Statistics.Matrix.Types

   No documentation available.

4. _vector :: Matrix -> !Vector

   dense-linear-algebra	Statistics.Matrix.Types

   Matrix data.

5. package edit-distance-vector

   Calculate edit distances and edit scripts between vectors. An implementation of the Wagner–Fischer dynamic programming algorithm to find the optimal edit script and cost between two sequences. The implementation in this package is specialised to sequences represented with Data.Vector but is otherwise agnostic to:

   • The type of values in the vectors;
   • The type representing edit operations; and
   • The type representing the cost of operations.

6. cachedRandomUnresolvedVecWithoutVector :: (MonadThrow m, MonadIO m) => Text -> AesonKey -> (FakerSettings -> m (Unresolved Text)) -> (FakerSettings -> AesonKey -> m Text) -> FakerSettings -> m Text

   fakedata	Faker.Internal

   No documentation available.

7. getGroupedVectorDiff :: Eq a => Vector a -> Vector a -> Vector (Diff (Vector a))

   fast-myers-diff	Myers.Diff

   Diff two Vectors with grouped results

8. getGroupedVectorDiffBy :: (a -> b -> Bool) -> Vector a -> Vector b -> Vector (PolyDiff (Vector a) (Vector b))

   fast-myers-diff	Myers.Diff

   Diff two Vectors with grouped results using a custom equality operator

9. getVectorDiff :: Eq a => Vector a -> Vector a -> Vector (Diff a)

   fast-myers-diff	Myers.Diff

   Diff two Vectors Prefer getGroupedVectorDiff for performance reasons.

10. getVectorDiffBy :: (a -> b -> Bool) -> Vector a -> Vector b -> Vector (PolyDiff a b)

    fast-myers-diff	Myers.Diff

    Diff two Vectors with different types using a custom equality operator Prefer getGroupedVectorDiffBy for performance reasons.

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