Py3fy some doctests. (#224)

doc/example.py

@@ -112,9 +112,9 @@ def foo(var1, var2, long_var_name='hi'):
     use the function.
 
     >>> a = [1, 2, 3]
-    >>> print [x + 3 for x in a]
+    >>> print([x + 3 for x in a])
     [4, 5, 6]
-    >>> print "a\n\nb"
+    >>> print("a\n\nb")
     a
     b
 

numpydoc/tests/test_docscrape.py

@@ -123,13 +123,13 @@
   >>> mean = (1,2)
   >>> cov = [[1,0],[1,0]]
   >>> x = multivariate_normal(mean,cov,(3,3))
-  >>> print x.shape
+  >>> print(x.shape)
   (3, 3, 2)
 
   The following is probably true, given that 0.6 is roughly twice the
   standard deviation:
 
-  >>> print list( (x[0,0,:] - mean) < 0.6 )
+  >>> print(list((x[0, 0, :] - mean) < 0.6))
   [True, True]
 
   .. index:: random
@@ -495,13 +495,13 @@ def test_str():
 >>> mean = (1,2)
 >>> cov = [[1,0],[1,0]]
 >>> x = multivariate_normal(mean,cov,(3,3))
->>> print x.shape
+>>> print(x.shape)
 (3, 3, 2)
 
 The following is probably true, given that 0.6 is roughly twice the
 standard deviation:
 
->>> print list( (x[0,0,:] - mean) < 0.6 )
+>>> print(list((x[0, 0, :] - mean) < 0.6))
 [True, True]
 
 .. index:: random
@@ -666,13 +666,13 @@ def test_sphinx_str():
 >>> mean = (1,2)
 >>> cov = [[1,0],[1,0]]
 >>> x = multivariate_normal(mean,cov,(3,3))
->>> print x.shape
+>>> print(x.shape)
 (3, 3, 2)
 
 The following is probably true, given that 0.6 is roughly twice the
 standard deviation:
 
->>> print list( (x[0,0,:] - mean) < 0.6 )
+>>> print(list((x[0, 0, :] - mean) < 0.6))
 [True, True]
 """)