getting error while running a python script

Question

i am getting an error (details on text file) while running a python script that install a library named 'camelot-py'.

the error is : -

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.6 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

installing following packages

from ayx import Package
Package.installPackages(['camelot-py'])

error.txt

ayush_mishra · Answer

Thanks @OTrieger I tried following to downgrade numpy and ran into a different error. Package.installPackages(['numpy<2']) Package.installPackages(['camelot-py']) Collecting numpy<2 Using cached numpy-1.26.4-cp310-cp310-win_amd64.whl.metadata (61 kB) Using cached numpy-1.26.4-cp310-cp310-win_amd64.whl (15.8 MB) Installing collected packages: numpy Attempting uninstall: numpy Found existing installation: numpy 2.2.6 Uninstalling numpy-2.2.6: Successfully uninstalled numpy-2.2.6 ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. opencv-python-headless 4.13.0.90 requires numpy>=2; python_version >= "3.9", but you have numpy 1.26.4 which is incompatible. Successfully installed numpy-1.26.4

OTrieger · Answer

You can try one of these options:
1. Downgrade NumPy

2. Upgrade the affected package

OTrieger · Answer

Hi @ayush_mishra

This warning you're seeing is a standard binary compatibility check introduced by NumPy starting with version 2.0. It appears as a deprecation-style message when a Python package containing a compiled C/C++/Cython/Fortran extension was built against NumPy 1.x and is now being loaded under NumPy 2.2.6. NumPy 2.0 introduced breaking changes to the C API and ABI, so old pre-compiled binaries can behave incorrectly, compute wrong results, or crash the Python process.