Add ref to arxiv paper

.github/workflows/run-tox.yml

@@ -15,11 +15,11 @@ jobs:
         python-version: ["3.8", "3.9", "3.10"]
 
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v3
       with:
         submodules: 'true'
     - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v2
+      uses: actions/setup-python@v4
       with:
         python-version: ${{ matrix.python-version }}
     - name: Install dependencies

README.md

@@ -122,7 +122,14 @@ We are always on the look out for individuals that are interested in contributin
 Please cite our paper if you use this code in your own work:
 
 ```
-preprint incoming...
+@article{pygenstability,
+  author = {Arnaudon, Alexis and Schindler, Dominik J. and Peach, Robert L. and Gosztolai, Adam and Hodges, Maxwell and Schaub, Michael T. and Barahona, Mauricio},  
+  title = {PyGenStability: Multiscale community detection with generalized Markov Stability},
+  publisher = {arXiv},
+  year = {2023},
+  doi = {10.48550/ARXIV.2303.05385},
+  url = {https://arxiv.org/abs/2303.05385}
+}
 ```
 
 The original paper for Markov Stability can also be cited as:

docs/index_readme.md

@@ -110,7 +110,14 @@ We are always on the look out for individuals that are interested in contributin
 Please cite our paper if you use this code in your own work:
 
 ```
-preprint incoming...
+@article{pygenstability,
+  author = {Arnaudon, Alexis and Schindler, Dominik J. and Peach, Robert L. and Gosztolai, Adam and Hodges, Maxwell and Schaub, Michael T. and Barahona, Mauricio},  
+  title = {PyGenStability: Multiscale community detection with generalized Markov Stability},
+  publisher = {arXiv},
+  year = {2023},
+  doi = {10.48550/ARXIV.2303.05385},
+  url = {https://arxiv.org/abs/2303.05385}
+}
 ```
 
 The original paper for Markov Stability can also be cited as:

tests/test_constructors.py

@@ -85,6 +85,7 @@ def test_spectral_exp(graph):
                 constructors.load_constructor(constr, graph, exp_comp_mode="spectral").get_data(1)
             )
             expected_data = yaml.safe_load(open(DATA / f"test_constructor_{constr}.yaml", "r"))
+            print(constr)
             assert_almost_equal(data["quality"], expected_data["quality"])
             assert_almost_equal(data["null_model"], expected_data["null_model"])
 

tox.ini

@@ -14,7 +14,7 @@ setenv =
     COVERAGE_FILE = {env:COVERAGE_FILE:.coverage-{envname}}
 deps = pybind11
 extras = all
-commands = pytest \
+commands = pytest -s \
     --basetemp={envtmpdir} \
     --cov={[base]name} \
     --cov-fail-under=100