chore(DataInterpolations): fix formatting

src/interpolation_caches.jl

@@ -461,10 +461,10 @@ function CubicSpline(u::uType,
 end
 
 function CubicSpline(u::uType,
-    t;
-    extrapolate = false, cache_parameters = false,
-    assume_linear_t = 1e-2) where {uType <:
-                                   AbstractMatrix}
+        t;
+        extrapolate = false, cache_parameters = false,
+        assume_linear_t = 1e-2) where {uType <:
+                                       AbstractMatrix}
     u, t = munge_data(u, t)
     n = length(t) - 1
     h = vcat(0, map(k -> t[k + 1] - t[k], 1:(length(t) - 1)), 0)
@@ -474,12 +474,13 @@ function CubicSpline(u::uType,
     tA = Tridiagonal(dl, d_tmp, du)
 
     # zero for element type of d, which we don't know yet
-    ax = axes(u)[1:end-1]
+    ax = axes(u)[1:(end - 1)]
     typed_zero = zero(6(u[ax..., begin + 2] - u[ax..., begin + 1]) / h[begin + 2] -
-                    6(u[ax..., begin + 1] - u[ax..., begin]) / h[begin + 1])
+                      6(u[ax..., begin + 1] - u[ax..., begin]) / h[begin + 1])
 
     h_ = reshape(h, 1, :)
-    d = 6*((u[ax..., 3:n+1]  - u[ax..., 2:n]) ./ h_[:, 3:n+1]) - 6*((u[ax..., 2:n]  - u[ax..., 1:n-1]) ./ h_[:, 2:n])
+    d = 6 * ((u[ax..., 3:(n + 1)] - u[ax..., 2:n]) ./ h_[:, 3:(n + 1)]) -
+        6 * ((u[ax..., 2:n] - u[ax..., 1:(n - 1)]) ./ h_[:, 2:n])
     d = cat(typed_zero, d, typed_zero; dims = ndims(d))
 
     z = (tA \ d')'
@@ -517,8 +518,6 @@ function CubicSpline(
     CubicSpline(u, t, I, p, h[1:(n + 1)], z, extrapolate, cache_parameters, assume_linear_t)
 end
 
-
-
 """
     BSplineInterpolation(u, t, d, pVecType, knotVecType; extrapolate = false, safetycopy = true)
 

src/parameter_caches.jl

@@ -120,7 +120,7 @@ function cubic_spline_parameters(u::AbstractVector, h, z, idx)
 end
 
 function cubic_spline_parameters(u::AbstractArray, h, z, idx)
-    ax = axes(u)[1:end-1]
+    ax = axes(u)[1:(end - 1)]
     c₁ = (u[ax..., idx + 1] / h[idx + 1] - z[ax..., idx + 1] * h[idx + 1] / 6)
     c₂ = (u[ax..., idx] / h[idx + 1] - z[ax..., idx] * h[idx + 1] / 6)
     return c₁, c₂

test/interpolation_tests.jl

@@ -600,11 +600,11 @@ end
     @test_throws DataInterpolations.ExtrapolationError A(-2.0)
     @test_throws DataInterpolations.ExtrapolationError A(2.0)
 
-    @testset "AbstractMatrix" begin 
-        t  = 0.1:0.1:1.0 
+    @testset "AbstractMatrix" begin
+        t = 0.1:0.1:1.0
         u = [sin.(t) cos.(t)]' |> collect
         c = CubicSpline(u, t)
-        t_test = 0.1:0.05:1.0 
+        t_test = 0.1:0.05:1.0
         u_test = reduce(hcat, c.(t_test))
         @test isapprox(u_test[1, :], sin.(t_test), atol = 1e-3)
         @test isapprox(u_test[2, :], cos.(t_test), atol = 1e-3)