Fix failing doctests.

2 files changed, 4 insertions, 2 deletions

diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py
index 073614495..f3e9f9b5d 100644
--- a/numpy/core/fromnumeric.py
+++ b/numpy/core/fromnumeric.py
@@ -1617,12 +1617,14 @@ def prod(a, axis=None, dtype=None, out=None):
 
     >>> x = np.array([1, 2, 3], dtype=np.uint8)
     >>> np.prod(x).dtype == np.uint
+    True
 
     If `x` is of a signed integer type, then the output type
     is the default platform integer:
 
     >>> x = np.array([1, 2, 3], dtype=np.int8)
     >>> np.prod(x).dtype == np.int
+    True
 
     """
     try:
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py
index 96fc1ada0..a6570c0c0 100644
--- a/numpy/core/numeric.py
+++ b/numpy/core/numeric.py
@@ -765,7 +765,7 @@ def tensordot(a, b, axes=2):
     >>> b = np.arange(24.).reshape(4,3,2)
     >>> c = np.tensordot(a,b, axes=([1,0],[0,1]))
     >>> c.shape
-    (5,2)
+    (5, 2)
     >>> c
     array([[ 4400.,  4730.],
            [ 4532.,  4874.],
@@ -774,7 +774,7 @@ def tensordot(a, b, axes=2):
            [ 4928.,  5306.]])
 
     >>> # A slower but equivalent way of computing the same...
-    >>> c = zeros((5,2))
+    >>> c = np.zeros((5,2))
     >>> for i in range(5):
     ...   for j in range(2):
     ...     for k in range(3):