chore(DataInterpolations): fix formatting

SciML · Sep 24, 2024 · 97529bb · 97529bb
1 parent ce28c4b
commit 97529bb
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Showing 4 changed files with 6 additions and 5 deletions.
diff --git a/src/interpolation_methods.jl b/src/interpolation_methods.jl
@@ -37,7 +37,7 @@ function _interpolate(A::LinearInterpolation{<:AbstractArray}, t::Number, iguess
     idx = get_idx(A, t, iguess)
     Δt = t - A.t[idx]
     slope = get_parameters(A, idx)
-    ax = axes(A.u)[1:end-1]
+    ax = axes(A.u)[1:(end - 1)]
     return A.u[ax..., idx] + slope * Δt
 end
 

diff --git a/src/interpolation_utils.jl b/src/interpolation_utils.jl
@@ -98,7 +98,7 @@ function munge_data(U::AbstractArray{T, N}, t) where {T, N}
     TU = Base.nonmissingtype(eltype(U))
     Tt = Base.nonmissingtype(eltype(t))
     @assert length(t) == size(U, ndims(U))
-    ax = axes(U)[1:end-1]
+    ax = axes(U)[1:(end - 1)]
     non_missing_indices = collect(
         i for i in 1:length(t)
     if !any(ismissing, U[ax..., i]) && !ismissing(t[i])
@@ -107,7 +107,7 @@ function munge_data(U::AbstractArray{T, N}, t) where {T, N}
     t = Tt.([t[i] for i in non_missing_indices])
 
     return U, t
-end 
+end
 
 seems_linear(assume_linear_t::Bool, _) = assume_linear_t
 seems_linear(assume_linear_t::Number, t) = looks_linear(t; threshold = assume_linear_t)

diff --git a/src/parameter_caches.jl b/src/parameter_caches.jl
@@ -21,7 +21,8 @@ end
 function linear_interpolation_parameters(u::AbstractArray{T, N}, t, idx) where {T, N}
     Δu = if N > 1
         ax = axes(u)
-        safe_diff.(u[ax[1:end-1]..., idx+1:idx+1] , u[ax[1:end-1]..., idx:idx])
+        safe_diff.(
+            u[ax[1:(end - 1)]..., (idx + 1):(idx + 1)], u[ax[1:(end - 1)]..., idx:idx])
     else
         safe_diff(u[idx + 1], u[idx])
     end

diff --git a/test/interpolation_tests.jl b/test/interpolation_tests.jl
@@ -43,7 +43,7 @@ end
         A = LinearInterpolation(u, t; extrapolate = true)
 
         for (_t, _u) in zip(t, eachcol(u))
-            @test A(_t) == reshape(_u, : , 1)
+            @test A(_t) == reshape(_u, :, 1)
         end
         @test A(0) == [0.0; 0.0;;]
         @test A(5.5) == [11.0; 16.5;;]