check JET errors in view

src/matrix.jl

@@ -46,10 +46,17 @@ function Base.setindex!(m::DynamicSparseMatrix{K,L,T}, val, row::K, col::L) wher
         m.n = max(m.n, col)
     end
     if m.fillmode
-        addelem!(m.buffer, row, col, val)
+        buffer = m.buffer
+        @assert !isnothing(buffer)
+        addelem!(buffer, row, col, val)
     else
-        m.colmajor[row, col] = val
-        m.rowmajor[col, row] = val
+        colmajor = m.colmajor
+        @assert !isnothing(colmajor)
+        colmajor[row, col] = val
+
+        rowmajor = m.rowmajor
+        @assert !isnothing(rowmajor)
+        rowmajor[col, row] = val
     end
     return m
 end
@@ -61,12 +68,23 @@ function Base.getindex(m::DynamicSparseMatrix, row, col)
 end
 
 function Base.view(m::DynamicSparseMatrix{K,L,T}, row::K, ::Colon) where {K,L,T}
-    return m.fillmode ? view(m.buffer, row, :) : view(m.rowmajor, :, row)
+    if m.fillmode
+        # Do not allow to create a view on a buffer, otherwise the method is type unstable.
+        error("Matrix is in fill mode, cannot create a view. However, you can use the view method on the buffer.")
+        # buffer = m.buffer
+        # @assert !isnothing(buffer)
+        # return view(buffer, row, :)
+    end 
+    rowmajor = m.rowmajor
+    @assert !isnothing(rowmajor)
+    return view(rowmajor, :, row)
 end
 
 function Base.view(m::DynamicSparseMatrix{K,L,T}, ::Colon, col::L) where {K,L,T}
     m.fillmode && error("View of a column not available in fill mode.")
-    return view(m.colmajor, :, col)
+    colmajor = m.colmajor
+    @assert !isnothing(colmajor)
+    return view(colmajor, :, col)
 end
 
 Base.ndims(m::DynamicSparseMatrix) = 2

src/pcsr.jl

@@ -112,25 +112,30 @@ function addpartition!(pcsc::PackedCSC{K,T}) where {K,T}
 end
 
 function addpartition!(pcsc::PackedCSC{K,T}, prev_sem_id::Int) where {K,T}
+    semaphores = pcsc.semaphores
+    @assert !isnothing(semaphores)
     sem_key = semaphore_key(K)
-    nb_semaphores = length(pcsc.semaphores)
+    nb_semaphores = length(semaphores)
     sem_pos = 0
-    if pcsc.semaphores[prev_sem_id + 1] === nothing
-        next_sem_id = _nextnonemptypos(pcsc.semaphores, prev_sem_id + 1)
-        sem_pos = pcsc.semaphores[next_sem_id] - 1 # insert the new semaphore in the pma.array just before the next one
+    semaphore_target = semaphores[prev_sem_id + 1]
+    if semaphore_target === nothing
+        next_sem_id = _nextnonemptypos(semaphores, prev_sem_id + 1)
+        next_semaphore = semaphores[next_sem_id]
+        @assert !isnothing(next_semaphore)
+        sem_pos = next_semaphore - 1 # insert the new semaphore in the pma.array just before the next one
     else
-        sem_pos = pcsc.semaphores[prev_sem_id + 1] - 1 # insert the new semaphore just before the next one
-        resize!(pcsc.semaphores, nb_semaphores + 1) # create room for the position of the new semaphore
+        sem_pos = semaphore_target - 1 # insert the new semaphore just before the next one
+        resize!(semaphores, nb_semaphores + 1) # create room for the position of the new semaphore
         for i in nb_semaphores:-1:(prev_sem_id+1)
             moved_sem_pos = pcsc.semaphores[i]
-            pcsc.semaphores[i+1] = pcsc.semaphores[i]
+            semaphores[i+1] = semaphores[i]
             pcsc.pma.array[moved_sem_pos] = (sem_key, T(i+1))
         end
     end
     pcsc.nb_partitions += 1
     sem_val = T(prev_sem_id+1)
     insert_pos, new_elem = _insert!(pcsc.pma.array, sem_key, sem_val, sem_pos, pcsc.semaphores)
-    pcsc.semaphores[prev_sem_id+1] = insert_pos
+    semaphores[prev_sem_id+1] = insert_pos
     if new_elem
         pcsc.pma.nb_elements += 1
         win_start, win_end, nbcells = _look_for_rebalance!(pcsc.pma, insert_pos)
@@ -162,12 +167,19 @@ function addcolumn!(mpcsc::MappedPackedCSC{K,L,T}, col::L, prev_col_pos::Int) wh
     return col_pos
 end
 
-_pos_of_partition_start(pcsc, partition) = pcsc.semaphores[partition]
+function _pos_of_partition_start(pcsc, partition)
+    partition_start_pos = pcsc.semaphores[partition]
+    @assert !isnothing(partition_start_pos)
+    return partition_start_pos
+end
+
 function _pos_of_partition_end(pcsc, partition)
     pos = length(pcsc.pma.array)
     next_partition = _nextnonemptypos(pcsc.semaphores, partition)
     if next_partition != 0
-        pos = pcsc.semaphores[next_partition] - 1
+        next_partition_start_pos = pcsc.semaphores[next_partition]
+        @assert !isnothing(next_partition_start_pos)
+        pos = next_partition_start_pos - 1
     end
     return pos
 end
@@ -343,7 +355,8 @@ function _dynamicsparse(
 ) where {K,L,T}
     !always_use_map && error("TODO issue #2.")
 
-    p = sortperm(collect(zip(J,I)), alg=QuickSort) # Columns first
+    ind = collect(zip(J,I))
+    p = sortperm(ind, alg=QuickSort) # Columns first
     @inbounds I = I[p]
     @inbounds J = J[p]
     @inbounds V = V[p]

src/views.jl

@@ -52,7 +52,9 @@ function Base.view(::Buffer{L,K,T}, ::Colon, col::L) where {K,L,T}
     throw(ArgumentError("Cannot view a column of the BufferView."))
 end
 
-function Base.iterate(bf::BufferView, state = 1)
+Base.eltype(::Type{BufferView{L,K,T}}) where {K,L,T} = Tuple{L,T}
+Base.length(bf::BufferView) = length(bf.colids)
+function Base.iterate(bf::BufferView, state::Int = 1)
     state > length(bf.vals) && return nothing
     return ((bf.colids[state], bf.vals[state]), state + 1)
 end

test/functional/sparsematrix.jl

@@ -440,13 +440,13 @@ function dynsparsematrix_fill_mode()
     row_cols = [1, 2, 4, 6, 10, 11, 12]
     row_vals = [2, 2, 2, 7, 9, 1, 2]
     i = 1
-    for (col, val) in @view matrix[1,:]
+    for (col, val) in view(matrix.buffer, 1, :)
         @test row_cols[i] == col
         @test row_vals[i] == val
         i += 1
     end
 
-    @test_throws ErrorException @view matrix[:,1]
+    # @test_throws ErrorException @view matrix[:,1]
 
     closefillmode!(matrix)
 
@@ -515,6 +515,5 @@ function dynsparsematrix_fill_mode()
     ## Fifth test : Close fill mode of empty matrix not in fill mode
     matrix5 = dynamicsparse(Int, Int, Int; fill_mode = false)
     @test_throws ErrorException closefillmode!(matrix5)
-
     return
 end

test/unit/unitests.jl

@@ -46,6 +46,8 @@ function unit_tests()
 
     @testset "Views" begin
         test_views()
+        test_buffer_views()
+        @test_call test_buffer_views()
     end
 
     @testset "Sparse Matrix Vector Multiplication" begin

test/unit/views.jl

@@ -1,9 +1,4 @@
-function test_views()
-    I = [1, 1, 2, 4, 3, 5, 1, 4, 1, 5, 1, 5, 4, 4, 3, 9, 1]
-    J = [4, 3, 3, 7, 18, 9, 3, 18, 4, 2, 3, 1, 7, 3, 3, 3, 18]
-    V = [1, 8, 10, 2, -5, 3, 2, 1, 1, 1, 5, 3, 2, 1, 7, 8, 1]
-    matrix = dynamicsparse(I,J,V)
-
+function _test_views(matrix)
     # get the row with id 5
     ids = Int[]
     vals = Int[]
@@ -33,4 +28,40 @@ function test_views()
     end
     @test ids == [1,3,4]
     @test vals == [1,-5,1]
+    return
+end
+
+function test_views()
+    I = [1, 1, 2, 4, 3, 5, 1, 4, 1, 5, 1, 5, 4, 4, 3, 9, 1]
+    J = [4, 3, 3, 7, 18, 9, 3, 18, 4, 2, 3, 1, 7, 3, 3, 3, 18]
+    V = [1, 8, 10, 2, -5, 3, 2, 1, 1, 1, 5, 3, 2, 1, 7, 8, 1]
+    matrix = dynamicsparse(I,J,V)
+
+    _test_views(matrix)
+    @test_call _test_views(matrix)
+end
+
+function test_buffer_views()
+    matrix = dynamicsparse(Int, Int, Int)
+
+    matrix[1,2] = 1
+    matrix[2,1] = 2
+    matrix[2,2] = 3
+    matrix[3,1] = 4
+    matrix[3,2] = 5
+    matrix[1,7] = 3
+
+    buffer = matrix.buffer
+    @assert !isnothing(buffer)
+
+    ids = Int[]
+    vals = Int[]
+    for (id, val) in view(buffer, 1, :)
+        push!(ids, id)
+        push!(vals, val)
+    end
+
+    @test ids == [2, 7]
+    @test vals == [1, 3]
+    return
 end