A module that was compiled using NumPy 1.x cannot be run in NumPy 2.0.0 as it may crash. To support

When a Python module has been compiled specifically for NumPy version 1.x, it may not function correctly or even cause a crash when executed with a newer version of NumPy, like 2.0.0. This is because the internal APIs and data structures in older and newer versions of NumPy can differ significantly. Here's what you need to consider:

1. **Compatibility issues**: Newer versions often introduce breaking changes, which could lead to incompatible code. Functions, classes, or methods might have different signatures or behaviors, causing errors when used together.

2. **Deprecations**: In NumPy 2.0.0, some features from version 1.x may have been marked as deprecated, meaning they are no longer officially supported and might trigger warnings or errors if used.

3. **Migration guide**: To run an older module with NumPy 2.0.0, you should consult the NumPy migration guide (https://numpy.org/doc/stable/release.html) for instructions on how to update your code or handle compatibility problems.

4. **Fixing dependencies**: If possible, try to update your module to use the new NumPy version's APIs directly, or wrap your code in try-except blocks to catch compatibility errors and handle them gracefully.

5. **Installing separate environments**: If you have control over the environment, you can create a separate virtual environment with NumPy 1.x and use that for running the module that requires the older version.