apply formatter

Author: andrewwinters5000

src/1D/spline_cache_1D.jl

@@ -75,7 +75,7 @@ function LinearBSpline(x::Vector, y::Vector)
     Delta = x[2] - x[1]
 
     IP = @SMatrix [-1 1;
-                    1 0]
+                   1 0]
 
     Q = y
 
@@ -257,9 +257,9 @@ function CubicBSpline(x::Vector, y::Vector; end_condition = "free", smoothing_fa
     n = length(x)
     P = vcat(0, y, 0)
     IP = @SMatrix [-1 3 -3 1;
-                    3 -6 3 0;
+                   3 -6 3 0;
                    -3 0 3 0;
-                    1 4 1 0]
+                   1 4 1 0]
 
     # Free end condition
     if end_condition == "free"

src/1D/spline_methods_1D.jl

@@ -54,7 +54,7 @@ function spline_interpolation(b_spline::LinearBSpline, x::Number)
     # Note, IP has already been constructed as an `SMatrix`
     # in the `LinearBSpline` constructor
     kappa_vec = @SVector [kappa_i, 1]
-    Q_slice = @SVector [Q[i], Q[i+1]]
+    Q_slice = @SVector [Q[i], Q[i + 1]]
 
     c_i1 = kappa_vec' * IP * Q_slice
 
@@ -115,7 +115,7 @@ function spline_interpolation(b_spline::CubicBSpline, x::Number)
     # Note, IP has already been constructed as an `SMatrix`
     # in the `CubicBSpline` constructor
     kappa_vec = @SVector [kappa_i^3, kappa_i^2, kappa_i, 1]
-    Q_slice = @SVector [Q[i], Q[i+1], Q[i+2], Q[i+3]]
+    Q_slice = @SVector [Q[i], Q[i + 1], Q[i + 2], Q[i + 3]]
 
     c_i3 = (1 / 6) * (kappa_vec' * IP * Q_slice)
 

src/2D/spline_cache_2D.jl

@@ -98,7 +98,7 @@ function BilinearBSpline(x::Vector, y::Vector, z::Matrix)
 
     P = vcat(reshape(z', (m * n, 1)))
     IP = @SMatrix [-1 1;
-                    1 0]
+                   1 0]
 
     Q = reshape(P, (n, m))
 
@@ -301,9 +301,9 @@ function BicubicBSpline(x::Vector, y::Vector, z::Matrix; end_condition = "free",
     P = vcat(reshape(z', (inner_elmts, 1)), zeros(boundary_elmts))
 
     IP = @SMatrix [-1 3 -3 1;
-                    3 -6 3 0;
+                   3 -6 3 0;
                    -3 0 3 0;
-                    1 4 1 0]
+                   1 4 1 0]
 
     # Mapping matrix Phi
     Phi = spzeros((m + 2) * (n + 2), (m + 2) * (n + 2))

src/2D/spline_methods_2D.jl

@@ -128,10 +128,10 @@ function spline_interpolation(b_spline::BicubicBSpline, x::Number, y::Number)
     # in the `BicubicBSpline` constructor
     ny_vec = @SVector [ny^3, ny^2, ny, 1]
     my_vec = @SVector [my^3, my^2, my, 1]
-    Q_temp = @SMatrix [Q[i, j] Q[i+1, j] Q[i+2, j] Q[i+3, j];
-                       Q[i, j+1] Q[i+1, j+1] Q[i+2, j+1] Q[i+3, j+1];
-                       Q[i, j+2] Q[i+1, j+2] Q[i+2, j+2] Q[i+3, j+2];
-                       Q[i, j+3] Q[i+1, j+3] Q[i+2, j+3] Q[i+3, j+3]]
+    Q_temp = @SMatrix [Q[i, j] Q[i + 1, j] Q[i + 2, j] Q[i + 3, j];
+                       Q[i, j + 1] Q[i + 1, j + 1] Q[i + 2, j + 1] Q[i + 3, j + 1];
+                       Q[i, j + 2] Q[i + 1, j + 2] Q[i + 2, j + 2] Q[i + 3, j + 2];
+                       Q[i, j + 3] Q[i + 1, j + 3] Q[i + 2, j + 3] Q[i + 3, j + 3]]
 
     c = (1 / 36) * (ny_vec' * IP * Q_temp * IP' * my_vec)