up nb

README.md

@@ -20,7 +20,7 @@ The elements of  proof of the main theorems in the core article are detailed in
 ### Code
 
 The python jupyter notebook [supp_mat_figures.ipynb](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/two-way-kernel-matrix-puncturing/-/blob/master/supp_mat_figures.ipynb) is set up to replicate the figures shown in the paper.
-This loads the `punctutils.py` function module. The python modules needed to run the notebook include notably `seaborn` for plotting or `tensorflow`  for loading the MNIST-fashion dataset (Figs 6-8).
+This loads the local file [punctutils.py](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/two-way-kernel-matrix-puncturing/-/blob/master/punctutils.py) which defines the user's function module. The python modules needed to run the notebook include notably `seaborn` for plotting or `tensorflow`  for loading the MNIST-fashion dataset (Figs 6-8).
 
 This notebook can be run interactively and remotely (online) using the _mybinder_ service: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/git/https%3A%2F%2Fgricad-gitlab.univ-grenoble-alpes.fr%2Fchatelaf%2Ftwo-way-kernel-matrix-puncturing/master?urlpath=lab/tree/supp_mat_figures.ipynb) (open the link and wait a few seconds for the environment to load).
 

punctutils.py

 # coding: utf-8
-""" Two-way puncturing utilities to prepare and puncture synthetic or real-word data.
-    Also comprise functions to display spectral information, limiting population spikes, clustering performances, ... as the figures in the spaper.
+""" Two-way puncturing utilities to prepare and puncture synthetic or real-word
+    data. Also comprise functions to display spectral information, limiting
+    population spikes, clustering performances, ... as the figures in the paper.
 """
 
 import numpy as np