diff options
Diffstat (limited to 'numpy/core/fromnumeric.py')
| -rw-r--r-- | numpy/core/fromnumeric.py | 11 |
1 files changed, 4 insertions, 7 deletions
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py index 33ecd6905..575e0a8ef 100644 --- a/numpy/core/fromnumeric.py +++ b/numpy/core/fromnumeric.py @@ -2240,13 +2240,10 @@ def all(a, axis=None, out=None, keepdims=np._NoValue): >>> np.all([1.0, np.nan]) True - >>> o=np.array([False]) + >>> o=np.array(False) >>> z=np.all([-1, 4, 5], out=o) - Traceback (most recent call last): - ... - ValueError: output parameter for reduction operation logical_and has too many dimensions - >>> id(z), id(o), z # doctest: +SKIP - (28293632, 28293632, array([ True])) + >>> id(z), id(o), z + (28293632, 28293632, array([ True])) # may vary """ return _wrapreduction(a, np.logical_and, 'all', axis, None, out, keepdims=keepdims) @@ -2732,7 +2729,7 @@ def prod(a, axis=None, dtype=None, out=None, keepdims=np._NoValue, initial=np._N >>> x = np.array([536870910, 536870910, 536870910, 536870910]) >>> np.prod(x) - 6917529010461212688 # may vary + 16 # may vary The product of an empty array is the neutral element 1: |