NumPy versioning issues

[BrendanMesters]

It seems that Pandas is expecting a version of NumPy < 2.0.0
If the newest version of numpy is used you get the following error:

Traceback (most recent call last):
  File "/home/brendan/Documents/Uni/Thesis/mmwave-decoder/decode_dat.py", line 4, in <module>
    import pandas as pd
  File "/home/brendan/Documents/Uni/Thesis/mmwave-decoder/decoder_venv/lib/python3.10/site-packages/pandas/__init__.py", line 46, in <module>
    from pandas.core.api import (
  File "/home/brendan/Documents/Uni/Thesis/mmwave-decoder/decoder_venv/lib/python3.10/site-packages/pandas/core/api.py", line 1, in <module>
    from pandas._libs import (
  File "/home/brendan/Documents/Uni/Thesis/mmwave-decoder/decoder_venv/lib/python3.10/site-packages/pandas/_libs/__init__.py", line 18, in <module>
    from pandas._libs.interval import Interval
  File "interval.pyx", line 1, in init pandas._libs.interval
ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject

This can be solved by adding numpy as a version pinned requirement, so in requirements.txt you should add:
numpy==1.26.4, this should solve the issue.

[BrendanMesters]

This might also be solvable by requering a newer version of Pandas, but I haven't tried that, I at least know that down-pinning numpy for sure works