More review updates

axelrod/match.py

@@ -10,10 +10,7 @@
 def is_stochastic(players, noise):
     """Determines if a match is stochastic -- true if there is noise or if any
     of the players involved is stochastic."""
-    return (
-        self._noise or
-        any(p.classifier['stochastic'] for p in self.players)
-        )
+    return (noise or any(p.classifier['stochastic'] for p in players))
 
 class Match(object):
 

docs/tutorials/getting_started/moran.rst

@@ -26,7 +26,7 @@ the library, proceed as follows::
     ...               axl.TitForTat(), axl.Grudger()]
     >>> mp = axl.MoranProcess(players)
     >>> mp.play()
-    >>> mp.winner   # doctest: +SKIP
+    >>> mp.winning_strategy_name   # doctest: +SKIP
 
     Defector
 
@@ -48,8 +48,8 @@ The sequence of populations::
 
 The scores in each round::
 
-    >>> import pprint
-    >>> pprint.pprint(mp.score_history)  # doctest: +SKIP
+    >>> for row in mp.score_history: # doctest: +SKIP
+    ...     print([round(element, 1) for element in row])
     [[6.0, 7.0800000000000001, 6.9900000000000002, 6.9900000000000002],
     [6.0, 7.0800000000000001, 6.9900000000000002, 6.9900000000000002],
     [3.0, 7.04, 7.04, 4.9800000000000004],