Use latest version of JuliaFormatter (#78)

Author: efaulhaber

.github/workflows/FormatCheck.yml

@@ -25,7 +25,7 @@ jobs:
         #
         # julia  -e 'using Pkg; Pkg.add(PackageSpec(name = "JuliaFormatter", version = "0.13.0"))'
         run: |
-          julia  -e 'using Pkg; Pkg.add(PackageSpec(name = "JuliaFormatter", version="1.0.45"))'
+          julia  -e 'using Pkg; Pkg.add(PackageSpec(name = "JuliaFormatter", version="1.0.62"))'
           julia  -e 'using JuliaFormatter; format(".")'
       - name: Format check
         run: |

benchmarks/plot.jl

@@ -62,7 +62,7 @@ function plot_benchmarks(benchmark, n_points_per_dimension, iterations;
         neighborhood_searches = [
             TrivialNeighborhoodSearch{NDIMS}(; search_radius, eachpoint = 1:n_particles),
             GridNeighborhoodSearch{NDIMS}(; search_radius, n_points = n_particles),
-            PrecomputedNeighborhoodSearch{NDIMS}(; search_radius, n_points = n_particles),
+            PrecomputedNeighborhoodSearch{NDIMS}(; search_radius, n_points = n_particles)
         ]
 
         for i in eachindex(neighborhood_searches)

docs/make.jl

@@ -52,7 +52,7 @@ makedocs(modules = [PointNeighbors],
              "Home" => "index.md",
              "API reference" => "reference.md",
              "Authors" => "authors.md",
-             "License" => "license.md",
+             "License" => "license.md"
          ])
 
 deploydocs(;

test/neighborhood_search.jl

@@ -10,7 +10,7 @@
         names = [
             "Simple Example 2D",
             "Box Not Multiple of Search Radius 2D",
-            "Simple Example 3D",
+            "Simple Example 3D"
         ]
 
         coordinates = [
@@ -20,15 +20,15 @@
              -0.12 -0.05 -0.09 0.15 0.42],
             [-0.08 0.0 0.18 0.1 -0.08
              -0.12 -0.05 -0.09 0.15 0.39
-             0.14 0.34 0.12 0.06 0.13],
+             0.14 0.34 0.12 0.06 0.13]
         ]
 
         periodic_boxes = [
             PeriodicBox(min_corner = [-0.1, -0.2], max_corner = [0.2, 0.4]),
             # The `GridNeighborhoodSearch` is forced to round up the cell sizes in this test
             # to avoid split cells.
             PeriodicBox(min_corner = [-0.1, -0.2], max_corner = [0.205, 0.43]),
-            PeriodicBox(min_corner = [-0.1, -0.2, 0.05], max_corner = [0.2, 0.4, 0.35]),
+            PeriodicBox(min_corner = [-0.1, -0.2, 0.05], max_corner = [0.2, 0.4, 0.35])
         ]
 
         @testset verbose=true "$(names[i])" for i in eachindex(names)
@@ -58,15 +58,15 @@
                                                                            search_radius,
                                                                            backend = Vector{Vector{Int32}})),
                 PrecomputedNeighborhoodSearch{NDIMS}(; search_radius, n_points,
-                                                     periodic_box = periodic_boxes[i]),
+                                                     periodic_box = periodic_boxes[i])
             ]
 
             names = [
                 "`TrivialNeighborhoodSearch`",
                 "`GridNeighborhoodSearch`",
                 "`GridNeighborhoodSearch` with `FullGridCellList` with `DynamicVectorOfVectors`",
                 "`GridNeighborhoodSearch` with `FullGridCellList` with `Vector{Vector}`",
-                "`PrecomputedNeighborhoodSearch`",
+                "`PrecomputedNeighborhoodSearch`"
             ]
 
             # Also test copied templates
@@ -80,7 +80,7 @@
                                               cell_list = FullGridCellList(min_corner = periodic_boxes[i].min_corner,
                                                                            max_corner = periodic_boxes[i].max_corner,
                                                                            backend = Vector{Vector{Int32}})),
-                PrecomputedNeighborhoodSearch{NDIMS}(periodic_box = periodic_boxes[i]),
+                PrecomputedNeighborhoodSearch{NDIMS}(periodic_box = periodic_boxes[i])
             ]
             copied_nhs = copy_neighborhood_search.(template_nhs, search_radius, n_points)
             append!(neighborhood_searches, copied_nhs)
@@ -119,7 +119,7 @@
             (10, 11),
             (100, 90),
             (9, 10, 7),
-            (39, 40, 41),
+            (39, 40, 41)
         ]
 
         seeds = [1, 2]
@@ -175,7 +175,7 @@
                                                                            max_corner,
                                                                            search_radius,
                                                                            backend = Vector{Vector{Int}})),
-                PrecomputedNeighborhoodSearch{NDIMS}(; search_radius, n_points),
+                PrecomputedNeighborhoodSearch{NDIMS}(; search_radius, n_points)
             ]
 
             names = [
@@ -184,7 +184,7 @@
                 "`GridNeighborhoodSearch` with `FullGridCellList` with `DynamicVectorOfVectors` and `ParallelUpdate`",
                 "`GridNeighborhoodSearch` with `FullGridCellList` with `DynamicVectorOfVectors` and `SemiParallelUpdate`",
                 "`GridNeighborhoodSearch` with `FullGridCellList` with `Vector{Vector}`",
-                "`PrecomputedNeighborhoodSearch`",
+                "`PrecomputedNeighborhoodSearch`"
             ]
 
             # Also test copied templates
@@ -199,7 +199,7 @@
                 GridNeighborhoodSearch{NDIMS}(cell_list = FullGridCellList(; min_corner,
                                                                            max_corner,
                                                                            backend = Vector{Vector{Int32}})),
-                PrecomputedNeighborhoodSearch{NDIMS}(),
+                PrecomputedNeighborhoodSearch{NDIMS}()
             ]
             copied_nhs = copy_neighborhood_search.(template_nhs, search_radius, n_points)
             append!(neighborhood_searches, copied_nhs)

test/nhs_grid.jl

@@ -198,7 +198,7 @@
         names = [
             "Simple Example 2D",
             "Box Not Multiple of Search Radius 2D",
-            "Simple Example 3D",
+            "Simple Example 3D"
         ]
 
         coordinates = [
@@ -208,15 +208,15 @@
              -0.12 -0.05 -0.09 0.15 0.42],
             [-0.08 0.0 0.18 0.1 -0.08
              -0.12 -0.05 -0.09 0.15 0.39
-             0.14 0.34 0.12 0.06 0.13],
+             0.14 0.34 0.12 0.06 0.13]
         ]
 
         periodic_boxes = [
             PeriodicBox(min_corner = [-0.1, -0.2], max_corner = [0.2, 0.4]),
             # The `GridNeighborhoodSearch` is forced to round up the cell sizes in this test
             # to avoid split cells.
             PeriodicBox(min_corner = [-0.1, -0.2], max_corner = [0.205, 0.43]),
-            PeriodicBox(min_corner = [-0.1, -0.2, 0.05], max_corner = [0.2, 0.4, 0.35]),
+            PeriodicBox(min_corner = [-0.1, -0.2, 0.05], max_corner = [0.2, 0.4, 0.35])
         ]
 
         @testset verbose=true "$(names[i])" for i in eachindex(names)
@@ -255,11 +255,11 @@
             nhs = GridNeighborhoodSearch{2}(search_radius = 1.0, n_points = size(coords, 2),
                                             periodic_box = PeriodicBox(min_corner = [
                                                                            -1.5,
-                                                                           0.0,
+                                                                           0.0
                                                                        ],
                                                                        max_corner = [
                                                                            2.5,
-                                                                           3.0,
+                                                                           3.0
                                                                        ]))
 
             initialize_grid!(nhs, coords)