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Uses `-j` flag on target/host python as well as numpy to run compilation
in parallel. In Python an optimum number of jobs is guessed if the flag
is used alone. In NumPy it must be explicitly set.
In NumPy we need to revert the `setup_extra_args` value so it doesn't
mess up with subsequent calls, e.g. `python setup.py install`.
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