Fix and add tests for latests changes.

Prepare 0.5.1

Author: victorsndvg

Project.toml

@@ -1,7 +1,7 @@
 name = "SparseMatricesCSR"
 uuid = "a0a7dd2c-ebf4-11e9-1f05-cf50bc540ca1"
 authors = ["Víctor Sande <[email protected]>"]
-version = "0.5.0"
+version = "0.5.1"
 
 [deps]
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"

src/SparseMatrixCSR.jl

@@ -239,10 +239,10 @@ function finalize_coo!(::Type{SparseMatrixCSR},
 end
 
 finalize_coo!(T::Type{SparseMatrixCSR{Bi}}, I , J, V, m, n)  where {Bi} = 
-    finalize_coo!(SparseMatrixCSR, Ij, V, m, n)
+    finalize_coo!(SparseMatrixCSR, I, J, V, m, n)
 
 finalize_coo!(T::Type{SparseMatrixCSR{Bi,Tv,Ti}}, I , J, V, m, n)  where {Bi,Tv,Ti} = 
-    finalize_coo!(SparseMatrixCSR, Ij, V, m, n)
+    finalize_coo!(SparseMatrixCSR, I, J, V, m, n)
 
 """
     function mul!(y::AbstractVector,A::SparseMatrixCSR,v::AbstractVector{T}) where {T}

src/SymSparseMatrixCSR.jl

@@ -175,10 +175,10 @@ function finalize_coo!(T::Type{SymSparseMatrixCSR},
 end
 
 finalize_coo!(T::Type{SymSparseMatrixCSR{Bi}}, I , J, V, m, n)  where {Bi} = 
-    finalize_coo!(SymSparseMatrixCSR, Ij, V, m, n)
+    finalize_coo!(SymSparseMatrixCSR, I, J, V, m, n)
 
 finalize_coo!(T::Type{SymSparseMatrixCSR{Bi,Tv,Ti}}, I , J, V, m, n)  where {Bi,Tv,Ti} = 
-    finalize_coo!(SymSparseMatrixCSR, Ij, V, m, n)
+    finalize_coo!(SymSparseMatrixCSR, I, J, V, m, n)
 
 
 """

test/SparseMatrixCSR.jl

@@ -13,11 +13,11 @@
                 J = Vector{Ti}()
                 V = Vector{Tv}()
                 for (ik, jk, vk) in zip(rand(1:maxrows, maxnz), rand(1:maxcols, maxnz), rand(1:Tv(maxnz), maxnz))
-                    push_coo!(SparseMatrixCSR,I,J,V,ik,jk,vk)
+                    push_coo!(SparseMatrixCSR{Bi,Tv,Ti},I,J,V,ik,jk,vk)
                 end
-                finalize_coo!(SparseMatrixCSR,I,J,V,maxrows,maxcols)
+                finalize_coo!(SparseMatrixCSR{Bi,Tv,Ti},I,J,V,maxrows,maxcols)
                 CSC = sparse(I, J, V, maxrows,maxcols)
-                CSR = sparsecsr(SparseMatrixCSR{Bi},I, J, V,maxrows,maxcols)
+                CSR = sparsecsr(SparseMatrixCSR{Bi,Tv,Ti},I, J, V,maxrows,maxcols)
 
                 show(devnull, CSR);
 

test/SymSparseMatrixCSR.jl

@@ -14,11 +14,11 @@
                 J = Vector{Ti}()
                 V = Vector{Tv}()
                 for (ik, jk, vk) in zip(rand(1:maxrows, maxnz), rand(1:maxcols, maxnz), rand(1:Tv(maxnz), maxnz) )
-                    push_coo!(SymSparseMatrixCSR,I,J,V,ik,jk,vk)
+                    push_coo!(SymSparseMatrixCSR{Bi,Tv,Ti},I,J,V,ik,jk,vk)
                 end
-                finalize_coo!(SymSparseMatrixCSR,I,J,V,maxrows, maxcols)
+                finalize_coo!(SymSparseMatrixCSR{Bi,Tv,Ti},I,J,V,maxrows, maxcols)
                 SYMCSC = Symmetric(sparse(I, J, V, maxrows, maxcols),:U)
-                SYMCSR = symsparsecsr(SymSparseMatrixCSR{Bi},I, J, V, maxrows, maxcols)
+                SYMCSR = symsparsecsr(SymSparseMatrixCSR{Bi,Tv,Ti},I, J, V, maxrows, maxcols)
 
                 @test size(SYMCSC)==size(SYMCSR)
                 @test SYMCSC == SYMCSR