pep8

Author: rflamary

README.md

@@ -53,6 +53,12 @@ The library has been tested on Linux, MacOSX and Windows. It requires a C++ comp
 
 #### Pip installation
 
+Note that due to a limitation of pip, `cython` and `numpy` need to be installed
+prior to installing POT. This can be done easily with
+```
+pip install numpy cython
+```
+
 You can install the toolbox through PyPI with:
 ```
 pip install POT
@@ -62,6 +68,8 @@ or get the very latest version by downloading it and then running:
 python setup.py install --user # for user install (no root)
 ```
 
+
+
 #### Anaconda installation with conda-forge
 
 If you use the Anaconda python distribution, POT is available in [conda-forge](https://conda-forge.org). To install it and the required dependencies:
@@ -150,7 +158,12 @@ You can also see the notebooks with [Jupyter nbviewer](https://nbviewer.jupyter.
 
 ## Acknowledgements
 
-The contributors to this library are:
+This toolbox has been created and is maintained by
+
+* [Rémi Flamary](http://remi.flamary.com/)
+* [Nicolas Courty](http://people.irisa.fr/Nicolas.Courty/)
+
+The contributors to this library are 
 
 * [Rémi Flamary](http://remi.flamary.com/)
 * [Nicolas Courty](http://people.irisa.fr/Nicolas.Courty/)

ot/gromov.py

@@ -359,7 +359,7 @@ def fused_gromov_wasserstein(M, C1, C2, p, q, loss_fun='square_loss', alpha=0.5,
     .. math::
         \gamma = arg\min_\gamma (1-\alpha)*<\gamma,M>_F + \alpha* \sum_{i,j,k,l}
         L(C1_{i,k},C2_{j,l})*T_{i,j}*T_{k,l}
-        
+
         s.t. \gamma 1 = p
              \gamma^T 1= q
              \gamma\geq 0
@@ -414,7 +414,7 @@ def fused_gromov_wasserstein(M, C1, C2, p, q, loss_fun='square_loss', alpha=0.5,
         and Courty Nicolas "Optimal Transport for structured data with
         application on graphs", International Conference on Machine Learning
         (ICML). 2019.
-        
+
     """
 
     constC, hC1, hC2 = init_matrix(C1, C2, p, q, loss_fun)
@@ -442,7 +442,7 @@ def fused_gromov_wasserstein2(M, C1, C2, p, q, loss_fun='square_loss', alpha=0.5
     .. math::
         \min_\gamma (1-\alpha)*<\gamma,M>_F + \alpha* \sum_{i,j,k,l}
         L(C1_{i,k},C2_{j,l})*T_{i,j}*T_{k,l}
-        
+
 
         s.t. \gamma 1 = p
              \gamma^T 1= q
@@ -647,7 +647,7 @@ def entropic_gromov_wasserstein(C1, C2, p, q, loss_fun, epsilon,
     Returns
     -------
     T : ndarray, shape (ns, nt)
-        Optimal coupling between the two spaces 
+        Optimal coupling between the two spaces
 
     References
     ----------
@@ -1024,7 +1024,7 @@ def fgw_barycenters(N, Ys, Cs, ps, lambdas, alpha, fixed_structure=False, fixed_
         T : list of (N,ns) transport matrices
         Ms : all distance matrices between the feature of the barycenter and the
         other features dist(X,Ys) shape (N,ns)
-        
+
     References
     ----------
     .. [24] Vayer Titouan, Chapel Laetitia, Flamary R{\'e}mi, Tavenard Romain