MAINT More fixes to include test/ folder in sdist

setup.py

@@ -1,4 +1,4 @@
-from setuptools import setup
+from setuptools import setup, find_packages
 from codecs import open
 import numpy
 import os
@@ -22,7 +22,7 @@
     long_description=README,
     long_description_content_type='text/markdown',
     include_dirs=[numpy.get_include()],
-    packages=['tslearn'],
+    packages=find_packages(),
     package_data={"tslearn": [".cached_datasets/Trace.npz"]},
     data_files=[("", ["LICENSE"])],
     install_requires=['numpy', 'scipy', 'scikit-learn', 'Cython', 'numba',

tslearn/__init__.py

@@ -1,7 +1,7 @@
 import os
 
 __author__ = 'Romain Tavenard romain.tavenard[at]univ-rennes2.fr'
-__version__ = "0.2.4"
+__version__ = "0.2.5"
 __bibtex__ = r"""@misc{tslearn,
  title={tslearn: A machine learning toolkit dedicated to time-series data},
  author={Tavenard, Romain and Faouzi, Johann and Vandewiele, Gilles},

tslearn/tests/test_estimators.py

@@ -59,7 +59,19 @@ def _get_all_classes():
     base_path = tslearn.__path__
     for _, name, _ in pkgutil.walk_packages(path=base_path,
                                             prefix='tslearn.'):
-        module = __import__(name, fromlist="dummy")
+        try:
+            module = __import__(name, fromlist="dummy")
+        except ImportError:
+            if name.endswith('shapelets'):
+                # keras is likely not installed
+                warnings.warn('Skipped common tests for shapelets '
+                              'as it could not be imported. keras '
+                              '(and tensorflow) are probably not '
+                              'installed!')
+                continue
+            else:
+                raise
+
         all_classes.extend(inspect.getmembers(module, inspect.isclass))
     return all_classes
 
@@ -169,11 +181,11 @@ def check_estimator(Estimator):
             warnings.warn(str(exception), SkipTestWarning)
 
 
-@pytest.mark.parametrize('estimator', get_estimators('all'))
-def test_all_estimators(estimator):
+@pytest.mark.parametrize('name, Estimator', get_estimators('all'))
+def test_all_estimators(name, Estimator):
     """Test all the estimators in tslearn."""
     allow_nan = (hasattr(checks, 'ALLOW_NAN') and
-                 _safe_tags(estimator[1](), "allow_nan"))
+                 _safe_tags(Estimator(), "allow_nan"))
     if allow_nan:
-        checks.ALLOW_NAN.append(estimator[0])
-    check_estimator(estimator[1])
+        checks.ALLOW_NAN.append(name)
+    check_estimator(Estimator)