Pin numpy version to avoid errors with 2.X

[leslievandemark]

Description of change

The latest numpy versions are not compatible with current dependencies, this pr pins numpy to an older version.

Error without pinned version:

24-12-04 18:59:49,587Z tap - A module that was compiled using NumPy 1.x cannot be run in
2024-12-04 18:59:49,587Z tap - NumPy 2.0.2 as it may crash. To support both 1.x and 2.x
2024-12-04 18:59:49,587Z tap - versions of NumPy, modules must be compiled with NumPy 2.0.
2024-12-04 18:59:49,587Z tap - Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
2024-12-04 18:59:49,587Z tap -
2024-12-04 18:59:49,587Z tap - If you are a user of the module, the easiest solution will be to
2024-12-04 18:59:49,587Z tap - downgrade to 'numpy<2' or try to upgrade the affected module.
2024-12-04 18:59:49,587Z tap - We expect that some modules will need time to support NumPy 2.

Manual QA steps

• Saw errors resolved by building docker container with pinned numpy 1.x version

Risks

• low

Rollback steps

• revert this branch

AI generated code

https://internal.qlik.dev/general/ways-of-working/code-reviews/#guidelines-for-ai-generated-code

• this PR has been written with the help of GitHub Copilot or another generative AI tool