value may alias the original input. Combining similar (to make the output array) and copyto! (to fill it with the input data) is a generic way to express the requirement for a mutable copy of the input SparseArray(Float64, 3, 3) 3×3 SparseArray{Float64, 2}: 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 julia> fill!(A, 2) 3×3 SparseArray{Float64, 2}: 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 julia> A[:] = 1:length(A); internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can

value may alias the original input. Combining similar (to make the output array) and copyto! (to fill it with the input data) is a generic way to express the requirement for a mutable copy of the input SparseArray(Float64, 3, 3) 3×3 SparseArray{Float64, 2}: 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 julia> fill!(A, 2) 3×3 SparseArray{Float64, 2}: 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 julia> A[:] = 1:length(A); internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can

value may alias the original input. Combining similar (to make the output array) and copyto! (to fill it with the input data) is a generic way to express the requirement for a mutable copy of the input SparseArray(Float64, 3, 3) 3×3 SparseArray{Float64, 2}: 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 julia> fill!(A, 2) 3×3 SparseArray{Float64, 2}: 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 julia> A[:] = 1:length(A); internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can

value may alias the original input. Combining similar (to make the output array) and copyto! (to fill it with the input data) is a generic way to express the requirement for a mutable copy of the input SparseArray(Float64, 3, 3) 3×3 SparseArray{Float64, 2}: 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 julia> fill!(A, 2) 3×3 SparseArray{Float64, 2}: 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 julia> A[:] = 1:length(A); internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can

value may alias the original input. Combining similar (to make the output array) and copyto! (to fill it with the input data) is a generic way to express the requirement for a mutable copy of the input SparseArray(Float64, 3, 3) 3×3 SparseArray{Float64, 2}: 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 julia> fill!(A, 2) 3×3 SparseArray{Float64, 2}: 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 julia> A[:] = 1:length(A); internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can

value may alias the original input. Combining similar (to make the output array) and copyto! (to fill it with the input data) is a generic way to express the requirement for a mutable copy of the input SparseArray(Float64, 3, 3) 3×3 SparseArray{Float64, 2}: 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 julia> fill!(A, 2) 3×3 SparseArray{Float64, 2}: 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 julia> A[:] = 1:length(A); internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can

value may alias the original input. Combining similar (to make the output array) and copyto! (to fill it with the input data) is a generic way to express the requirement for a mutable copy of the input SparseArray(Float64, 3, 3) 3×3 SparseArray{Float64, 2}: 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 julia> fill!(A, 2) 3×3 SparseArray{Float64, 2}: 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 julia> A[:] = 1:length(A); internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can

value may alias the original input. Combining similar (to make the output array) and copyto! (to fill it with the input data) is a generic way to express the requirement for a mutable copy of the input SparseArray(Float64, 3, 3) 3×3 SparseArray{Float64, 2}: 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 julia> fill!(A, 2) 3×3 SparseArray{Float64, 2}: 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 julia> A[:] = 1:length(A); internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can

value may alias the original input. Combining similar (to make the output array) and copyto! (to fill it with the input data) is a generic way to express the requirement for a mutable copy of the input SparseArray(Float64, 3, 3) 3×3 SparseArray{Float64, 2}: 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 julia> fill!(A, 2) 3×3 SparseArray{Float64, 2}: 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 julia> A[:] = 1:length(A); internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can

value may alias the original input. Combining similar (to make the output array) and copyto! (to fill it with the input data) is a generic way to express the requirement for a mutable copy of the input SparseArray(Float64, 3, 3) 3×3 SparseArray{Float64, 2}: 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 julia> fill!(A, 2) 3×3 SparseArray{Float64, 2}: 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 julia> A[:] = 1:length(A); internals of a program and its types just like any other data. Warning Metaprogramming is a powerful tool, but it introduces complexity that can make code more difficult to understand. For example, it can