add inferred to tests

test/runtests.jl

@@ -13,10 +13,10 @@ source = Float64.(testimage("cameraman"))
     @testset "pixel shift" for _ in 1:100
         shift = (rand(rng, -25:25), rand(rng, -25:25))
         shifted = @inferred fourier_shift(source, shift)
-        result = @inferred phase_offset(source, shifted; upsample_factor=1)
+        result = @inferred phase_offset(source, shifted; upsample_factor = 1)
         @test all(result.shift .≈ -1 .* shift)
 
-        registered = @inferred register(source, shifted; upsample_factor=1)
+        registered = @inferred register(source, shifted; upsample_factor = 1)
         @test registered ≈ fourier_shift(shifted, result.shift, result.phasediff)
     end
 
@@ -25,27 +25,27 @@ source = Float64.(testimage("cameraman"))
         shifted = fourier_shift(source, shift)
 
         f = 10
-        result = @inferred phase_offset(source, shifted; upsample_factor=f)
-        @test all(isapprox.(result.shift, -1 .* shift, atol=inv(f)))
+        result = @inferred phase_offset(source, shifted; upsample_factor = f)
+        @test all(isapprox.(result.shift, -1 .* shift, atol = inv(f)))
 
-        registered = @inferred register(source, shifted; upsample_factor=f)
+        registered = @inferred register(source, shifted; upsample_factor = f)
         @test registered ≈ fourier_shift(shifted, result.shift, result.phasediff)
     end
 
     @testset "coregister" begin
         shifts = 10 .* randn(rng, 19, 2)
-        cube = cat(source, (fourier_shift(source, shift) for shift in eachrow(shifts))..., dims=3)
+        cube = cat(source, (fourier_shift(source, shift) for shift in eachrow(shifts))..., dims = 3)
         f = 100
-        cube_shift = @inferred coregister(cube; dims=3, upsample_factor=f)
-        for slice in eachslice(cube_shift, dims=3)
-            @test all(isapprox.(slice, source; atol=1e-2))
+        cube_shift = @inferred coregister(cube; dims = 3, upsample_factor = f)
+        for slice in eachslice(cube_shift, dims = 3)
+            @test all(isapprox.(slice, source; atol = 1e-2))
         end
 
         # alternate axis of iteration
         cubep = permutedims(cube, (3, 2, 1))
-        cubep_shift = @inferred coregister(cubep, dims=1, upsample_factor=f)
-        for slice in eachslice(cubep_shift, dims=1)
-            @test all(isapprox.(slice', source; atol=1e-2))
+        cubep_shift = @inferred coregister(cubep, dims = 1, upsample_factor = f)
+        for slice in eachslice(cubep_shift, dims = 1)
+            @test all(isapprox.(slice', source; atol = 1e-2))
         end
     end