Symbolics.jacobian throws error after importing ReversePropagation

[jenkspt]

This works fine

using Symbolics
@variables x y
Symbolics.jacobian([x + x*y, x^2 + y],[x, y])

But adding this throws an error

using ReversePropagation
Symbolics.jacobian([x + x*y, x^2 + y],[x, y])

ERROR: TypeError: in typeassert, expected Num, got a value of type Int64
Stacktrace:
 [1] setindex!(A::Matrix{Num}, x::Int64, i1::Int64)
   @ Base ./array.jl:839
 [2] jacobian(ops::Vector{Num}, vars::Vector{Num}; simplify::Bool)
   @ Symbolics ~/.julia/packages/Symbolics/27xgb/src/diff.jl:325
 [3] jacobian(ops::Vector{Num}, vars::Vector{Num})
   @ Symbolics ~/.julia/packages/Symbolics/27xgb/src/diff.jl:325
 [4] top-level scope

Using julia 1.6.0 on Ubuntu 20.04

[dpsanders]

Ouch. I have no idea what's going on there.

[jenkspt]

Can you reproduce on your end?

[dpsanders]

Sorry for the delay. Yes, I can reproduce.
Presumably ReversePropagation is somehow overriding / redefining something that it shouldn't.