Preparing version 0.7.1 to dev (#264)

* Release 0.7.1

* Fix flake8 errors

CHANGELOG.rst

@@ -1,9 +1,11 @@
 Changelog
 =========
 
-dev
----
+0.7.1 (2018-04-11)
+------------------
 - Implemented model selection (elfi.compare_models). See API documentation.
+- Fix threshold=0 in rejection sampling
+- Set default batch_size to 1 in ParameterInference base class
 
 0.7 (2017-11-30)
 ----------------

README.md

@@ -1,4 +1,4 @@
-**Version 0.7 released!** See the CHANGELOG and [notebooks](https://github.com/elfi-dev/notebooks).
+**Version 0.7.1 released!** See the CHANGELOG and [notebooks](https://github.com/elfi-dev/notebooks).
 
 **NOTE:** For the time being NetworkX 2 is incompatible with ELFI.
 

elfi/__init__.py

@@ -25,4 +25,4 @@
 __email__ = 'elfi-support@hiit.fi'
 
 # make sure __version_ is on the last non-empty line (read by setup.py)
-__version__ = '0.7_dev'
+__version__ = '0.7.1'

elfi/model/tools.py

@@ -44,10 +44,10 @@ def run_vectorized(operation, *inputs, constants=None, dtype=None, batch_size=No
 
         # Test if a numpy array
         if is_array(inpt):
-            l = len(inpt)
+            length = len(inpt)
             if batch_size is None:
-                batch_size = l
-            elif batch_size != l:
+                batch_size = length
+            elif batch_size != length:
                 raise ValueError('Batch size {} does not match with input {} length of '
                                  '{}. Please check `constants` argument for the '
                                  'vectorize decorator for marking constant inputs.')

elfi/store.py

@@ -208,12 +208,12 @@ def _make_store_for(self, node):
 
     def __len__(self):
         """Return the largest batch index in any of the stores."""
-        l = 0
+        largest = 0
         for output, store in self.stores.items():
             if store is None:
                 continue
-            l = max(l, len(store))
-        return l
+            largest = max(largest, len(store))
+        return largest
 
     def __getitem__(self, batch_index):
         """Return the batch."""