Bump DataStructures version and fix doctests on nightly (#55)

* Fix find_root! depwarn

This became a depwarn with DataStructures 0.18 but was
available in 0.17.11.

* Generalize some docstrings

Julia 1.6 changes how array types are printed.

Project.toml

@@ -1,6 +1,6 @@
 name = "ImageSegmentation"
 uuid = "80713f31-8817-5129-9cf8-209ff8fb23e1"
-version = "1.4.5"
+version = "1.4.6"
 
 [deps]
 Clustering = "aaaa29a8-35af-508c-8bc3-b662a17a0fe5"
@@ -17,7 +17,7 @@ Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 
 [compat]
 Clustering = "0.10, 0.11, 0.12, 0.13, 0.14"
-DataStructures = "0.12, 0.13, 0.14, 0.15, 0.16, 0.17"
+DataStructures = "0.17.11, 0.18"
 Distances = "0.8"
 Documenter = "0.24, 0.25"
 ImageFiltering = "0.6"

src/core.jl

@@ -238,7 +238,7 @@ function prune_segments(s::SegmentedImage, is_rem::Function, diff_fn::Function)
 
     segments = Set{Int}()
     for i in 1:nv(G)
-        push!(segments, find_root(u, i))
+        push!(segments, find_root!(u, i))
     end
 
     result              =   similar(s.image_indexmap)
@@ -253,7 +253,7 @@ function prune_segments(s::SegmentedImage, is_rem::Function, diff_fn::Function)
     end
 
     for p in CartesianIndices(axes(result))
-        result[p] = find_root(u, vert_map[s.image_indexmap[p]])
+        result[p] = find_root!(u, vert_map[s.image_indexmap[p]])
         region_pix_count[result[p]] = get(region_pix_count, result[p], 0) + 1
         region_means[result[p]] = get(region_means, result[p], zero(m_type)) + (s.segment_means[s.image_indexmap[p]] - get(region_means, result[p], zero(m_type)))/(region_pix_count[result[p]])
     end

src/fast_scanning.jl

@@ -50,7 +50,7 @@ julia> img[:,2] .= 0.6;
 julia> seg = fast_scanning(img, 0.2);
 
 julia> labels_map(seg)
-3×3 Array{Int64,2}:
+3×3 $(Matrix{Int}):
  1  4  5
  4  4  4
  3  4  6
@@ -88,15 +88,15 @@ function fast_scanning(img::AbstractArray{CT,N}, threshold::Union{AbstractArray,
         prev_label = 0
         for p in neighbourhood(point)
             if checkbounds(Bool, img, p)
-                root_p = find_root(temp_labels, result[p])
+                root_p = find_root!(temp_labels, result[p])
                 if diff_fn(region_means[root_p], img[point]) < getscalar(threshold, point, block_length)
                     if prev_label == 0
                         prev_label = root_p
                     elseif prev_label != root_p
                         same_label = false
                     end
                     sz += 1
-                    v_neigh[sz] = find_root(temp_labels, root_p)
+                    v_neigh[sz] = find_root!(temp_labels, root_p)
                 end
             end
         end
@@ -138,7 +138,7 @@ function fast_scanning(img::AbstractArray{CT,N}, threshold::Union{AbstractArray,
     end
 
     for point in CartesianIndices(axes(img))
-        result[point] = find_root(temp_labels, result[point])
+        result[point] = find_root!(temp_labels, result[point])
     end
 
     SegmentedImage(result, unique(temp_labels.parents), region_means, region_pix_count)

src/felzenszwalb.jl

@@ -41,8 +41,8 @@ function felzenszwalb(edges::Array{ImageEdge}, num_vertices::Int, k::Real, min_s
 
     for edge in edges
         w = edge.weight
-        a = find_root(G, edge.index1)
-        b = find_root(G, edge.index2)
+        a = find_root!(G, edge.index1)
+        b = find_root!(G, edge.index2)
         if a!=b
             if w <= min(threshold[a], threshold[b])
                 merged_root = union!(G, a, b)
@@ -54,16 +54,16 @@ function felzenszwalb(edges::Array{ImageEdge}, num_vertices::Int, k::Real, min_s
 
     #merge small segments
     for edge in edges
-        a = find_root(G, edge.index1)
-        b = find_root(G, edge.index2)
+        a = find_root!(G, edge.index1)
+        b = find_root!(G, edge.index2)
         if a!=b && (set_size[a] < min_size || set_size[b] < min_size)
             union!(G, a, b)
         end
     end
 
     segments = OrderedSet()
     for i in 1:num_vertices
-        push!(segments, find_root(G, i))
+        push!(segments, find_root!(G, i))
     end
 
     num_sets = length(segments)
@@ -74,7 +74,7 @@ function felzenszwalb(edges::Array{ImageEdge}, num_vertices::Int, k::Real, min_s
 
     index_map = Array{Int}(undef, num_vertices)
     for i in 1:num_vertices
-        index_map[i] = segments2index[find_root(G, i)]
+        index_map[i] = segments2index[find_root!(G, i)]
     end
 
     return index_map, num_sets

src/region_growing.jl

@@ -40,7 +40,7 @@ julia> seeds = [(CartesianIndex(3,1),1),(CartesianIndex(2,2),2)];
 julia> seg = seeded_region_growing(img, seeds);
 
 julia> labels_map(seg)
-4×4 Array{Int64,2}:
+4×4 $(Matrix{Int}):
  1  1  1  1
  1  2  2  2
  1  2  2  2
@@ -150,7 +150,7 @@ function seeded_region_growing(img::AbstractArray{CT,N}, seeds::AbstractVector{T
                         if curr_diff < mindiff
                             mindiff = curr_diff
                             mindifflabel = result[point]
-                        elseif isapprox(curr_diff, mindiff) #, atol=1e-8) 
+                        elseif isapprox(curr_diff, mindiff) #, atol=1e-8)
                             mindifflabel = 0
                         end
                     end
@@ -221,7 +221,7 @@ julia> img[2:4,2:4] .= 1;
 julia> seg = unseeded_region_growing(img, 0.2);
 
 julia> labels_map(seg)
-4×4 Array{Int64,2}:
+4×4 $(Matrix{Int}):
  1  1  1  1
  1  2  2  2
  1  2  2  2