format (#112)

Co-authored-by: Erik Faulhaber <[email protected]>

Author: svchb

.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="1.0.62"))'
+          julia  -e 'using Pkg; Pkg.add(PackageSpec(name = "JuliaFormatter", version="2.1.2"))'
           julia  -e 'using JuliaFormatter; format(".")'
       - name: Format check
         run: |

src/neighborhood_search.jl

@@ -211,8 +211,9 @@ end
         pos_diff = point_coords - neighbor_coords
         distance2 = dot(pos_diff, pos_diff)
 
-        pos_diff, distance2 = compute_periodic_distance(pos_diff, distance2, search_radius,
-                                                        periodic_box)
+        pos_diff,
+        distance2 = compute_periodic_distance(pos_diff, distance2, search_radius,
+                                              periodic_box)
 
         if distance2 <= search_radius^2
             distance = sqrt(distance2)

src/nhs_grid.jl

@@ -312,7 +312,8 @@ end
 
     # `each_cell_index(cell_list)` might return a `KeySet`, which has to be `collect`ed
     # first to be able to be used in a threaded loop. This function takes care of that.
-    @threaded parallelization_backend for cell_index in each_cell_index_threadable(cell_list)
+    @threaded parallelization_backend for cell_index in
+                                          each_cell_index_threadable(cell_list)
         mark_changed_cell!(neighborhood_search, cell_index, y)
     end
 end
@@ -360,12 +361,13 @@ function update_grid!(neighborhood_search::GridNeighborhoodSearch{<:Any,
     # We can work around this by using the old lengths.
     # TODO this is hardcoded for the `FullGridCellList`
     @threaded parallelization_backend for i in eachindex(update_buffer,
-                                                         cell_list.cells.lengths)
+                                                    cell_list.cells.lengths)
         update_buffer[i] = cell_list.cells.lengths[i]
     end
 
     # Add points to new cells
-    @threaded parallelization_backend for cell_index in each_cell_index_threadable(cell_list)
+    @threaded parallelization_backend for cell_index in
+                                          each_cell_index_threadable(cell_list)
         for i in 1:update_buffer[cell_index]
             point = cell_list.cells.backend[i, cell_index]
             point_coords = extract_svector(y, Val(ndims(neighborhood_search)), point)
@@ -379,7 +381,8 @@ function update_grid!(neighborhood_search::GridNeighborhoodSearch{<:Any,
     end
 
     # Remove points from old cells
-    @threaded parallelization_backend for cell_index in each_cell_index_threadable(cell_list)
+    @threaded parallelization_backend for cell_index in
+                                          each_cell_index_threadable(cell_list)
         points = cell_list[cell_index]
 
         # WARNING!!!
@@ -433,8 +436,9 @@ end
             pos_diff = point_coords - neighbor_coords
             distance2 = dot(pos_diff, pos_diff)
 
-            pos_diff, distance2 = compute_periodic_distance(pos_diff, distance2,
-                                                            search_radius, periodic_box)
+            pos_diff,
+            distance2 = compute_periodic_distance(pos_diff, distance2,
+                                                  search_radius, periodic_box)
 
             if distance2 <= search_radius^2
                 distance = sqrt(distance2)

src/nhs_precomputed.jl

@@ -116,8 +116,9 @@ end
         pos_diff = point_coords - neighbor_coords
         distance2 = dot(pos_diff, pos_diff)
 
-        pos_diff, distance2 = compute_periodic_distance(pos_diff, distance2, search_radius,
-                                                        periodic_box)
+        pos_diff,
+        distance2 = compute_periodic_distance(pos_diff, distance2, search_radius,
+                                              periodic_box)
 
         distance = sqrt(distance2)
 

test/neighborhood_search.jl

@@ -123,11 +123,11 @@
         ]
 
         seeds = [1, 2]
-        name(size, seed) = "$(length(size))D with $(prod(size)) Particles " *
-                           "($(seed == 1 ? "`initialize!`" : "`update!`"))"
+        name(size,
+             seed) = "$(length(size))D with $(prod(size)) Particles " *
+                     "($(seed == 1 ? "`initialize!`" : "`update!`"))"
         @testset verbose=true "$(name(cloud_size, seed)))" for cloud_size in cloud_sizes,
                                                                seed in seeds
-
             coords = point_cloud(cloud_size, seed = seed)
             NDIMS = length(cloud_size)
             n_points = size(coords, 2)