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| author | Charles Harris <charlesr.harris@gmail.com> | 2021-12-17 11:46:36 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-12-17 11:46:36 -0700 |
| commit | c5ead84c4dd065990ca4e134c04ee2918c3d6bdc (patch) | |
| tree | 21e0c1627d5a0aa50a9263eed11eb9871046f80e /numpy/typing | |
| parent | 01079e29caaad17ddf855d125cc4f47f7a1f8203 (diff) | |
| parent | 5af1602c7311df5795c40cc51273cb42fcda3ef9 (diff) | |
| download | numpy-c5ead84c4dd065990ca4e134c04ee2918c3d6bdc.tar.gz | |
Merge pull request #20611 from BvB93/mypy
TST: Bump mypy: 0.910 -> 0.920
Diffstat (limited to 'numpy/typing')
| -rw-r--r-- | numpy/typing/tests/data/reveal/array_constructors.pyi | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/numpy/typing/tests/data/reveal/array_constructors.pyi b/numpy/typing/tests/data/reveal/array_constructors.pyi index ba5710e0f..399564e66 100644 --- a/numpy/typing/tests/data/reveal/array_constructors.pyi +++ b/numpy/typing/tests/data/reveal/array_constructors.pyi @@ -180,17 +180,17 @@ reveal_type(np.atleast_2d(A)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.atleast_3d(A)) # E: ndarray[Any, dtype[{float64}]] -reveal_type(np.vstack([A, A])) # E: ndarray[Any, dtype[{float64}]] +reveal_type(np.vstack([A, A])) # E: ndarray[Any, Any] reveal_type(np.vstack([A, C])) # E: ndarray[Any, dtype[Any]] reveal_type(np.vstack([C, C])) # E: ndarray[Any, dtype[Any]] -reveal_type(np.hstack([A, A])) # E: ndarray[Any, dtype[{float64}]] +reveal_type(np.hstack([A, A])) # E: ndarray[Any, Any] -reveal_type(np.stack([A, A])) # E: ndarray[Any, dtype[{float64}]] +reveal_type(np.stack([A, A])) # E: Any reveal_type(np.stack([A, C])) # E: ndarray[Any, dtype[Any]] reveal_type(np.stack([C, C])) # E: ndarray[Any, dtype[Any]] -reveal_type(np.stack([A, A], axis=0)) # E: ndarray[Any, dtype[{float64}]] +reveal_type(np.stack([A, A], axis=0)) # E: Any reveal_type(np.stack([A, A], out=B)) # E: SubClass[{float64}] -reveal_type(np.block([[A, A], [A, A]])) # E: ndarray[Any, dtype[{float64}]] +reveal_type(np.block([[A, A], [A, A]])) # E: ndarray[Any, Any] reveal_type(np.block(C)) # E: ndarray[Any, dtype[Any]] |