Checking that all files have owners.

CONTRIBUTING.md

@@ -66,3 +66,7 @@ We love pull requests. Here's a quick guide:
 Both Keras-Contrib and Keras operate under the [MIT License](LICENSE). At the discretion of the maintainers of both repositories, code may be moved from Keras-Contrib to Keras and vice versa.
 
 The maintainers will ensure that the proper chain of commits will flow in both directions, with proper attribution of code. Maintainers will also do their best to notify contributors when their work is moved between repositories.
+
+## About the `CODEOWNERS` file
+
+If you add a new feature to keras-contrib, you should add yourself and your file in the `CODEOWNERS` file. Doing so will, in the future, tag you whenever an issue or a pull request about your feature is opened. Be aware that it represents some work, and in addition of being tagged, you should review new pull requests related to your feature.

tests/tooling/test_codeowners.py

@@ -34,5 +34,83 @@ def test_codeowners_user_exist():
         assert client.get_user(user[1:])
 
 
+directories_to_test = [
+    'examples',
+    'keras_contrib/activations',
+    'keras_contrib/applications',
+    'keras_contrib/callbacks',
+    'keras_contrib/constraints',
+    'keras_contrib/datasets',
+    'keras_contrib/initializers',
+    'keras_contrib/layers',
+    'keras_contrib/losses',
+    'keras_contrib/metrics',
+    'keras_contrib/optimizers',
+    'keras_contrib/preprocessing',
+    'keras_contrib/regularizers',
+    'keras_contrib/wrappers'
+]
+directories_to_test = [path_to_keras_contrib / x for x in directories_to_test]
+
+pattern_exclude = [
+    '.gitkeep',
+    '__init__.py'
+]
+
+# TODO: remove those files or find them owners.
+exclude = [
+    'examples/cifar10_clr.py',
+    'examples/cifar10_densenet.py',
+    'examples/cifar10_nasnet.py',
+    'examples/cifar10_resnet.py',
+    'examples/cifar10_ror.py',
+    'examples/cifar10_wide_resnet.py',
+    'examples/conll2000_chunking_crf.py',
+    'examples/improved_wgan.py',
+    'examples/jaccard_loss.py',
+    'keras_contrib/activations/squash.py',
+    'keras_contrib/callbacks/cyclical_learning_rate.py',
+    'keras_contrib/callbacks/dead_relu_detector.py',
+    'keras_contrib/callbacks/snapshot.py',
+    'keras_contrib/applications/densenet.py',
+    'keras_contrib/applications/nasnet.py',
+    'keras_contrib/applications/resnet.py',
+    'keras_contrib/applications/wide_resnet.py',
+    'keras_contrib/constraints/clip.py',
+    'keras_contrib/datasets/coco.py',
+    'keras_contrib/datasets/conll2000.py',
+    'keras_contrib/datasets/pascal_voc.py',
+    'keras_contrib/initializers/convaware.py',
+    'keras_contrib/losses/crf_losses.py',
+    'keras_contrib/losses/dssim.py',
+    'keras_contrib/losses/jaccard.py',
+    'keras_contrib/layers/advanced_activations.py',
+    'keras_contrib/layers/capsule.py',
+    'keras_contrib/layers/convolutional.py',
+    'keras_contrib/layers/core.py',
+    'keras_contrib/layers/crf.py',
+    'keras_contrib/layers/normalization.py',
+    'keras_contrib/optimizers/ftml.py',
+    'keras_contrib/optimizers/lars.py',
+    'keras_contrib/optimizers/padam.py',
+    'keras_contrib/optimizers/yogi.py',
+    'keras_contrib/metrics/crf_accuracies.py',
+
+]
+exclude = [path_to_keras_contrib / x for x in exclude]
+
+
+@pytest.mark.parametrize('directory', directories_to_test)
+def test_all_files_have_owners(directory):
+    files_with_owners = [x[0] for x in parse_codeowners()]
+    for children in directory.iterdir():
+        if children.is_file():
+            if children.name in pattern_exclude:
+                continue
+            if children in exclude:
+                continue
+            assert children in files_with_owners
+
+
 if __name__ == '__main__':
     pytest.main([__file__])