import from StatsAPI

Project.toml

@@ -4,10 +4,12 @@ version = "0.10.0"
 
 [deps]
 Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
+StatsAPI = "82ae8749-77ed-4fe6-ae5f-f523153014b0"
 
 [compat]
 Distances = "0.8.1, 0.9, 0.10"
 julia = "1.3"
+StatsAPI = "1"
 
 [extras]
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"

src/StringDistances.jl

@@ -1,6 +1,7 @@
 module StringDistances
 
 using Distances
+import StatsAPI: pairwise, pairwise!
 
 include("distances/utils.jl")
 include("distances/edit.jl")

src/pairwise.jl

@@ -25,9 +25,7 @@ julia> pairwise(Levenshtein(), iter, iter2)
  10.0
 ```
 """
-Distances.pairwise
-
-function Distances.pairwise(dist::StringDistance, xs::AbstractVector, ys::AbstractVector = xs; preprocess = nothing)
+function pairwise(dist::StringDistance, xs::AbstractVector, ys::AbstractVector = xs; preprocess = nothing)
     T = result_type(dist, eltype(xs), eltype(ys))
     if Missing <: Union{eltype(xs), eltype(ys)}
         T = Union{T, Missing}
@@ -46,9 +44,7 @@ For AbstractQGramDistances preprocessing will be used either if `preprocess` is
 to true or if there are more than 5 elements in `xs`. Set `preprocess` to 
 false if no preprocessing should be used, regardless of length.
 """
-Distances.pairwise!
-
-function Distances.pairwise!(R::AbstractMatrix, dist::StringDistance, xs::AbstractVector, ys::AbstractVector = xs; preprocess = nothing)
+function pairwise!(R::AbstractMatrix, dist::StringDistance, xs::AbstractVector, ys::AbstractVector = xs; preprocess = nothing)
     length(xs) == size(R, 1) || throw(DimensionMismatch("inconsistent length"))
     length(ys) == size(R, 2) || throw(DimensionMismatch("inconsistent length"))
     ((xs === ys) & (dist isa SemiMetric)) ?