How to resolve RuntimeError: The current Numpy installation fails to pass a sanity check in Numpy?

If you are a Python developer, you may have encountered the following error message when importing numpy:

RuntimeError: The current Numpy installation fails to pass a sanity check due to a bug in the windows runtime. See this issue for more information.

This error occurs because of a compatibility issue between Numpy and some versions of Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017 and 2019. The bug causes numpy to crash when performing certain operations on arrays.

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There are several possible ways to resolve this error, depending on your system configuration and preferences. Here are some of them:

– Uninstall the problematic version of Microsoft Visual C++ Redistributable and install the latest one from this link
– Downgrade numpy to version 1.19.3 or lower, which does not trigger the bug. You can do this by running pip install numpy==1.19.3 in your terminal or command prompt.
– Upgrade numpy to version 1.20.0 or higher, which includes a workaround for the bug. You can do this by running pip install –upgrade numpy in your terminal or command prompt.
– Set the environment variable NUMPY_MKL_THREADING_LAYER=GNU before importing numpy. This will force numpy to use a different threading layer that avoids the bug. You can do this by adding the following line to your script or notebook:

import os
os.environ['NUMPY_MKL_THREADING_LAYER'] = 'GNU'

– Disable the OpenMP support in numpy by setting the environment variable OMP_NUM_THREADS=1 before importing numpy. This will reduce the performance of numpy, but also avoid the bug. You can do this by adding the following line to your script or notebook:

import os
os.environ['OMP_NUM_THREADS'] = '1'

Hopefully, one of these solutions will work for you and allow you to use numpy without errors. If not, you can always report the issue to the numpy developers on their GitHub page.

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