Question about getting different results in Google Collab than Jupyter Notebook when calculating mutual information scores.

I have a large dataset (3000 features are used here), and I am calculating mutual information scores between each row and every other row. Then, I print out the top X mutual information scores (and which two rows correspond to that mutual information score).

When I print these values in Google Collab, however, the top scores seem to give different values vs. Jupyter Notebook, even though I am using the same code.

What's also interesting is that these values remain …

collab datascience dataset features google information jupyter notebook