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joshlk / k-means-constrained

K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained
https://github.com/joshlk/k-means-constrained
BSD 3-Clause "New" or "Revised" License
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ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject #37

Closed manamhr closed 1 year ago

manamhr commented 1 year ago

Describe the bug A clear and concise description of what the bug is.

While importing the library, this error happens: ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject so I did following command to downgrade numpy and install k_means_constrained again:

Minimum working example Code and minimum data to reproduce the error. The example should be copy and pastable to reproduce the problem: from k_means_constrained import KMeansConstrained

Versions:

I installed k_means_constrained which upgraded numpy to 1.23.4 and when importing k_means_constrained created

ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject so I did following command to downgrade numpy and install k_means_constrained again:

!pip uninstall numpy -y !conda install -y -c conda-forge numpy !pip uninstall k_means_constrained -y !pip install k_means_constrained --no-binary k_means_constrained right now I have k-means-constrained-0.7.2, numpy to 1.23.4 and still same error. even changed to k-means-constrained-0.7.0 and numpy to 1.21.5 still same error I have this issue on my Apple M1 pro, Anaconda environment, Python 3.9.7. Any advice?

joshlk commented 1 year ago

Hi @kellyvos, can you please provide the numpy, k-means-constrained and Python version you are using?

kellyvos commented 1 year ago

Hi @kellyvos, can you please provide the numpy, k-means-constrained and Python version you are using?

I'm sorry I made a mistake