diff options
| -rw-r--r-- | numpy/core/code_generators/ufunc_docstrings.py | 22 |
1 files changed, 11 insertions, 11 deletions
diff --git a/numpy/core/code_generators/ufunc_docstrings.py b/numpy/core/code_generators/ufunc_docstrings.py index 6843858d9..267e63b2d 100644 --- a/numpy/core/code_generators/ufunc_docstrings.py +++ b/numpy/core/code_generators/ufunc_docstrings.py @@ -846,7 +846,7 @@ add_newdoc('numpy.core.umath', 'cos', >>> np.cos(np.zeros((3,3)),np.zeros((2,2))) Traceback (most recent call last): File "<stdin>", line 1, in <module> - ValueError: invalid return array shape + ValueError: operands could not be broadcast together with shapes (3,3) (2,2) """) @@ -2603,13 +2603,13 @@ add_newdoc('numpy.core.umath', 'matmul', - Stacks of matrices are broadcast together as if the matrices were elements, respecting the signature ``(n,k),(k,m)->(n,m)``: - >>> a = a = np.full([9,5,7,3], True, dtype=bool) - >>> c = np.full([9, 5, 4,3], True, dtype=bool) - >>> np.dot(a, c).shape # doctest: +SKIP - (9, 5, 7, 9, 5, 4) - >>> np.matmul(a, c).shape # doctest: +SKIP - (9, 5, 7, 4) - >>> # n is 5, k is 3, m is 4 + >>> a = np.ones([9, 5, 7, 4]) + >>> c = np.ones([9, 5, 4, 3]) + >>> np.dot(a, c).shape + (9, 5, 7, 9, 5, 3) + >>> np.matmul(a, c).shape + (9, 5, 7, 3) + >>> # n is 7, k is 4, m is 3 The matmul function implements the semantics of the `@` operator introduced in Python 3.5 following PEP465. @@ -3484,7 +3484,7 @@ add_newdoc('numpy.core.umath', 'sinh', >>> np.sinh(np.zeros((3,3)),np.zeros((2,2))) Traceback (most recent call last): File "<stdin>", line 1, in <module> - ValueError: invalid return array shape + ValueError: operands could not be broadcast together with shapes (3,3) (2,2) """) @@ -3670,7 +3670,7 @@ add_newdoc('numpy.core.umath', 'tan', >>> np.cos(np.zeros((3,3)),np.zeros((2,2))) Traceback (most recent call last): File "<stdin>", line 1, in <module> - ValueError: invalid return array shape + ValueError: operands could not be broadcast together with shapes (3,3) (2,2) """) @@ -3722,7 +3722,7 @@ add_newdoc('numpy.core.umath', 'tanh', >>> np.tanh(np.zeros((3,3)),np.zeros((2,2))) Traceback (most recent call last): File "<stdin>", line 1, in <module> - ValueError: invalid return array shape + ValueError: operands could not be broadcast together with shapes (3,3) (2,2) """) |