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| author | Aaron Meurer <asmeurer@gmail.com> | 2021-07-23 18:27:24 -0600 |
|---|---|---|
| committer | Aaron Meurer <asmeurer@gmail.com> | 2021-07-23 18:27:24 -0600 |
| commit | 09a4f8c7fc961e9bf536060533a4fd26c35004d8 (patch) | |
| tree | ceb49b11ca6957e9c86c3845419203ebf61b1568 /numpy/_array_api | |
| parent | d93aad2bde7965d1fdb506a5379d8007b399b3f0 (diff) | |
| download | numpy-09a4f8c7fc961e9bf536060533a4fd26c35004d8.tar.gz | |
Add a TODO comment
Diffstat (limited to 'numpy/_array_api')
| -rw-r--r-- | numpy/_array_api/_creation_functions.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/_array_api/_creation_functions.py b/numpy/_array_api/_creation_functions.py index 0c39a5875..acf78056a 100644 --- a/numpy/_array_api/_creation_functions.py +++ b/numpy/_array_api/_creation_functions.py @@ -42,7 +42,7 @@ def asarray(obj: Union[Array, bool, int, float, NestedSequence[bool|int|float], return obj if dtype is None and isinstance(obj, int) and (obj > 2**64 or obj < -2**63): # Give a better error message in this case. NumPy would convert this - # to an object array. + # to an object array. TODO: This won't handle large integers in lists. raise OverflowError("Integer out of bounds for array dtypes") res = np.asarray(obj, dtype=dtype) return Array._new(res) |