format

Author: ChrisRackauckas

src/common.jl

@@ -112,12 +112,11 @@ function SciMLBase.init(prob::LinearProblem, alg::Union{SciMLLinearSolveAlgorith
 
     A = alias_A ? A : deepcopy(A)
     b = if b isa SparseArray && !(A isa Diagonal)
-            Array(b) # the solution to a linear solve will always be dense!
-        elseif alias_b 
-            b 
-        else 
-            deepcopy(b)
-        end
+        Array(b) # the solution to a linear solve will always be dense!
+    elseif alias_b
+        b
+    else
+        deepcopy(b)
     end
 
     cache = LinearCache{

src/default.jl

@@ -154,7 +154,7 @@ end
 
 function defaultalg(A::SparseMatrixCSC, b, ::OperatorAssumptions{true})
     # If GPL libraries are loaded, then use SuiteSparse. Otherwise Sparspak
-    if INCLUDE_SPARSE 
+    if INCLUDE_SPARSE
         if length(b) <= 10000
             alg = KLUFactorization()
         else

src/factorization_sparse.jl

@@ -5,4 +5,4 @@ function _ldiv!(x::Vector,
                          SuiteSparse.SPQR.QRSparse,
                          SuiteSparse.CHOLMOD.Factor}, b::Vector)
     x .= A \ b
-end
+end