pep8 sklearn/utils/__init__.py

larsmans · larsmans · commit ab4098ef44ba · 2011-09-20T15:37:23.000+02:00
diff --git a/sklearn/utils/__init__.py b/sklearn/utils/__init__.py
@@ -2,6 +2,7 @@
 import scipy.sparse as sp
 import warnings
 
+
 def assert_all_finite(X):
     """Throw a ValueError if X contains NaN or infinity.
     Input MUST be an np.ndarray instance or a scipy.sparse matrix."""
@@ -22,12 +23,11 @@ def safe_asanyarray(X, dtype=None, order=None):
 
 
 def as_float_array(X, overwrite_X=False):
-    """
-    Converts a numpy array to type np.float
+    """Converts a numpy array to an array of floats
 
-    The new dtype will be float32 or np.float64, depending on the original type.
-    The function can create a copy or modify the argument depending
-    of the argument overwrite_X
+    The new dtype will be np.float32 or np.float64, depending on the original
+    type. The function can create a copy or modify the argument depending
+    on the argument overwrite_X.
 
     WARNING : If X is not of type float, then a copy of X with the right type
               will be returned
@@ -198,6 +198,7 @@ def _decorate_class(self, cls):
 
         # FIXME: we should probably reset __new__ for full generality
         init = cls.__init__
+
         def wrapped(*args, **kwargs):
             warnings.warn(msg, category=DeprecationWarning)
             return init(*args, **kwargs)
