Multilayer #4
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The matrixes are analogous to the ones created in the lab, for ease our use, just that, for privacy reasons, all values are random
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| This folder includes all scripts for the Multilayer analysis . All instructions will be found here! | |||
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I would recommend, at some point, writing in more detail a tutorial explaining these analyses/scripts.
I corrected a few typos but mainly changed the style following PEP8 suggestions
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It was in wrong place - sorry!
Build upon the Main Multilayer code
The original code uses as input a 3d array, i.e., two variables for the shape of the supra-adjacency matrix and one variable for the number of matrixes. If we have a single supra-adjacency matrix, we often represent it as a 2d array, which would yield a bug in our code. Although the original code was not wrong, we decided to facilitate the user experience by adapting the code to accept a single supra-adjacency matrix as a 2d array as input. When that happens, the number of individuals in the analysis will be assigned one in the code.
The original code uses as input a 3d array, i.e., two variables for the shape of the supra-adjacency matrix and one variable for the number of matrixes. If we have a single supra-adjacency matrix, we often represent it as a 2d array, which would yield a bug in our code. Although the original code was not wrong, we decided to facilitate the user experience by adapting the code to accept a single supra-adjacency matrix as a 2d array as input. When that happens, the number of individuals in the analysis will be assigned one in the code.
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@fnobregasantos @lcbreedt Before your next commit, please have a look at the files in the repo and check which should be kept. There's one code outside the Multilayer folder, and another one inside. |
This code was a user file before the previous commit. It was wrongly overwritten with the Multilayer main code. This commit is only reverting it.
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Review Multialyer - Networks code