Ensure compatible version of numpy in isolated_notebook_test.py

[pavoljuhas]

Keep numpy version in the isolated Python environment at 1.23 as
numpy-1.24 is incompatible with cirq and numba.

Fixes stuck notebook tests which import numba.

Related to #5967

[pavoljuhas]

ping - can somebody PTAL?

[viathor]

This PR LGTM, but as a general reflection: it replicates the constraints in requirements.txt, so I'm wondering whether there is a way to avoid the duplication?

[pavoljuhas]

This PR LGTM, but as a general reflection: it replicates the constraints in requirements.txt, so I'm wondering whether there is a way to avoid the duplication?

Ack. To my understanding this list of packages should simulate the jupyter/colab environment of a user running the examples for the first time. The cirq is installed as a part of the notebook execution in that environment later.
As such the package lists can be different.

BTW, the !pip install cirq in the notebook will cause a numpy downgrade to 1.23 per cirq requirements, but the papermill process which executes the notebook seems to already have numpy-1.24 imported by that point.
The combination of import numpy, numba causes a SystemError with numpy-1.24.