Using TensorCast with JuliaPy

General Usage
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I am getting a world age bug when running TensorCast in JuliaPy, but not when using it normally.

If I run an example function such as

function testfunc()
    V = [10,20,30]
    M = collect(reshape(1:12, 3,4))
    @cast A[j,i] := M[i,j] + 10 * V[i]
    return A
end

it works when I call it in Julia via

A = testfunc()

However, when I run the Python script

from julia.api import Julia
jl = Julia(compiled_modules=False)
from julia import Main
Main.include("testfunction.jl")
from julia.Main import testfunc

A = testfunc()

I get the error

<PyCall.jlwrap (in a Julia function called from Python)
JULIA: MethodError: no method matching _trex(::Symbol, ::Type{Matrix{Int64}}, ::Tuple{Int64, Int64})
The applicable method may be too new: running in world age 32486, while current world is 38140.
Closest candidates are:
  _trex(::Any, ::Any, ::Any) at /home/andrewhardy/.julia/packages/TransmuteDims/mGkQB/src/TransmuteDims.jl:372 (method too new to be called from this world context.)

which only occurs for the @cast call. What can I do?