Dependency issues with requirement file

[divyat09]

I tried installing the modules as per their version in the requirements file and end up obtaining the following dependency issues. for python version 3.9.19.

astropy 5.3.4 requires numpy<2,>=1.21, but you have numpy 1.19.5 which is incompatible.
bokeh 3.4.0 requires contourpy>=1.2, but you have contourpy 1.1.1 which is incompatible.
dask-expr 1.1.0 requires pandas>=2, but you have pandas 1.3.2 which is incompatible.
imbalanced-learn 0.11.0 requires scikit-learn>=1.0.2, but you have scikit-learn 0.24.1 which is incompatible.
numba 0.59.1 requires numpy<1.27,>=1.22, but you have numpy 1.19.5 which is incompatible.
pywavelets 1.5.0 requires numpy<2.0,>=1.22.4, but you have numpy 1.19.5 which is incompatible.
scikit-image 0.22.0 requires numpy>=1.22, but you have numpy 1.19.5 which is incompatible.
scikit-image 0.22.0 requires scipy>=1.8, but you have scipy 1.7.0 which is incompatible.
xarray 2023.6.0 requires numpy>=1.21, but you have numpy 1.19.5 which is incompatible.
xarray 2023.6.0 requires pandas>=1.4, but you have pandas 1.3.2 which is incompatible.

I was able to resolve this by upgrading the scipy version to 1.8.0 in the requirement file and upgrading numpy as well to 1.19.5.
Is it a python version issue that the old requirements file did not work for me? What is the python version used by the authors for the same?