format

JuliaDiff · Aug 23, 2023 · bd895e6 · bd895e6
1 parent 2ddae9b
commit bd895e6
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Showing 2 changed files with 3 additions and 3 deletions.
diff --git a/src/chainrules.jl b/src/chainrules.jl
@@ -31,7 +31,7 @@ function rrule(::typeof(extract_derivative), t::TaylorScalar{T, N},
 end
 
 function rrule(::typeof(*), A::AbstractMatrix{S},
-               t::AbstractVector{TaylorScalar{T, N}}) where {N, S <: Number, T}
+    t::AbstractVector{TaylorScalar{T, N}}) where {N, S <: Number, T}
     project_A = ProjectTo(A)
     function gemv_pullback(x̄)
         x̂ = reinterpret(reshape, T, x̄)

diff --git a/src/derivative.jl b/src/derivative.jl
@@ -19,7 +19,7 @@ function derivative end
 end
 
 @inline function derivative(f, x::AbstractVector{T}, l::AbstractVector{T},
-                            order::Int64) where {T <: Number}
+    order::Int64) where {T <: Number}
     derivative(f, x, l, Val{order + 1}())
 end
 
@@ -32,7 +32,7 @@ end
 make_taylor(t0::T, t1::T, ::Val{N}) where {T, N} = TaylorScalar{T, N}(t0, t1)
 
 @inline function derivative(f, x::AbstractVector{T}, l::AbstractVector{T},
-                            vN::Val{N}) where {T <: Number, N}
+    vN::Val{N}) where {T <: Number, N}
     t = map((t0, t1) -> make_taylor(t0, t1, vN), x, l) # i.e. map(TaylorScalar{T, N}, x, l)
     return extract_derivative(f(t), N)
 end