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| author | Sebastian Berg <sebastianb@nvidia.com> | 2022-12-06 13:01:11 +0100 |
|---|---|---|
| committer | Sebastian Berg <sebastianb@nvidia.com> | 2022-12-06 20:02:37 +0100 |
| commit | 2ac75e57bdc176860896e144533aa7ab42093d94 (patch) | |
| tree | 2703e6e0e0a631e04ae08e0ac60e8d88ba522795 /numpy/core | |
| parent | 928a7b40a40941c0c282cfad78c3a6021422a71c (diff) | |
| download | numpy-2ac75e57bdc176860896e144533aa7ab42093d94.tar.gz | |
DOC: Fix doc `numpy.<exception>` to `numpy.exceptions.<exception>`
Diffstat (limited to 'numpy/core')
| -rw-r--r-- | numpy/core/multiarray.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/numpy/core/multiarray.py b/numpy/core/multiarray.py index 31b779783..636a6fbbd 100644 --- a/numpy/core/multiarray.py +++ b/numpy/core/multiarray.py @@ -1122,7 +1122,7 @@ def copyto(dst, src, casting=None, where=None): >>> A array([[4, 5, 6], [7, 8, 9]]) - + """ return (dst, src, where) @@ -1345,7 +1345,7 @@ def shares_memory(a, b, max_work=None): Raises ------ - numpy.TooHardError + numpy.exceptions.TooHardError Exceeded max_work. Returns @@ -1379,7 +1379,7 @@ def shares_memory(a, b, max_work=None): >>> np.shares_memory(x1, x2, max_work=1000) Traceback (most recent call last): ... - numpy.TooHardError: Exceeded max_work + numpy.exceptions.TooHardError: Exceeded max_work Running ``np.shares_memory(x1, x2)`` without `max_work` set takes around 1 minute for this case. It is possible to find problems |