Add codacy badge and complete restructure

src/fimdlp/__init__.py

@@ -1,3 +1,8 @@
 from ._version import __version__
 
+
+def version():
+    return __version__
+
+
 all = ["FImdlp", "__version__"]

src/fimdlp/mdlp.py

@@ -16,8 +16,8 @@ class FImdlp(TransformerMixin, BaseEstimator):
     Parameters
     ----------
     n_jobs : int, default=-1
-        The number of jobs to run in parallel. :meth:`fit` and 
-        :meth:`transform`, are parallelized over the features. ``-1`` means 
+        The number of jobs to run in parallel. :meth:`fit` and
+        :meth:`transform`, are parallelized over the features. ``-1`` means
         using all cores available.
 
     Attributes
@@ -28,9 +28,9 @@ class FImdlp(TransformerMixin, BaseEstimator):
         The list of discretizers, one for each feature.
     cut_points_ : list
         The list of cut points for each feature.
-    X_ : array 
+    X_ : array
         the samples used to fit, shape (n_samples, n_features)
-    y_ : array 
+    y_ : array
         the labels used to fit, shape (n_samples,)
     features_ : list
         the list of features to be discretized

src/fimdlp/tests/FImdlp_test.py

@@ -3,9 +3,14 @@ import sklearn
 from sklearn.datasets import load_iris
 import numpy as np
 from ..mdlp import FImdlp
+from .. import version
+from .._version import __version__
 
 
 class FImdlpTest(unittest.TestCase):
+    def test_version(self):
+        self.assertEqual(version(), __version__)
+
     def test_init(self):
         clf = FImdlp()
         self.assertEqual(-1, clf.n_jobs)

src/fimdlp/tests/__init__.py

@@ -1,3 +1 @@
 from .FImdlp_test import FImdlpTest
-
-all = ["FImdlpTest"]