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| author | Bas van Beek <43369155+BvB93@users.noreply.github.com> | 2021-08-16 20:32:59 +0200 |
|---|---|---|
| committer | Bas van Beek <43369155+BvB93@users.noreply.github.com> | 2021-08-16 20:46:14 +0200 |
| commit | 614057af8c2c50d2008936d9fa5b8e40f3b1a61b (patch) | |
| tree | 39ed48056d98a27cf6bc6a6b938a38f2d684ea6e | |
| parent | 338e6638abb9b04f32ecc696f6dcc94cc59731a6 (diff) | |
| download | numpy-614057af8c2c50d2008936d9fa5b8e40f3b1a61b.tar.gz | |
TST: Add typing tests for `np.lib.stride_tricks`
| -rw-r--r-- | numpy/typing/tests/data/fail/stride_tricks.py | 9 | ||||
| -rw-r--r-- | numpy/typing/tests/data/reveal/stride_tricks.py | 28 |
2 files changed, 37 insertions, 0 deletions
diff --git a/numpy/typing/tests/data/fail/stride_tricks.py b/numpy/typing/tests/data/fail/stride_tricks.py new file mode 100644 index 000000000..f2bfba743 --- /dev/null +++ b/numpy/typing/tests/data/fail/stride_tricks.py @@ -0,0 +1,9 @@ +import numpy as np +import numpy.typing as npt + +AR_f8: npt.NDArray[np.float64] + +np.lib.stride_tricks.as_strided(AR_f8, shape=8) # E: No overload variant +np.lib.stride_tricks.as_strided(AR_f8, strides=8) # E: No overload variant + +np.lib.stride_tricks.sliding_window_view(AR_f8, axis=(1,)) # E: No overload variant diff --git a/numpy/typing/tests/data/reveal/stride_tricks.py b/numpy/typing/tests/data/reveal/stride_tricks.py new file mode 100644 index 000000000..152d9cea6 --- /dev/null +++ b/numpy/typing/tests/data/reveal/stride_tricks.py @@ -0,0 +1,28 @@ +from typing import List, Dict, Any +import numpy as np +import numpy.typing as npt + +AR_f8: npt.NDArray[np.float64] +AR_LIKE_f: List[float] +interface_dict: Dict[str, Any] + +reveal_type(np.lib.stride_tricks.DummyArray(interface_dict)) # E: numpy.lib.stride_tricks.DummyArray + +reveal_type(np.lib.stride_tricks.as_strided(AR_f8)) # E: numpy.ndarray[Any, numpy.dtype[{float64}]] +reveal_type(np.lib.stride_tricks.as_strided(AR_LIKE_f)) # E: numpy.ndarray[Any, numpy.dtype[Any]] +reveal_type(np.lib.stride_tricks.as_strided(AR_f8, strides=(1, 5))) # E: numpy.ndarray[Any, numpy.dtype[{float64}]] +reveal_type(np.lib.stride_tricks.as_strided(AR_f8, shape=[9, 20])) # E: numpy.ndarray[Any, numpy.dtype[{float64}]] + +reveal_type(np.lib.stride_tricks.sliding_window_view(AR_f8, 5)) # E: numpy.ndarray[Any, numpy.dtype[{float64}]] +reveal_type(np.lib.stride_tricks.sliding_window_view(AR_LIKE_f, (1, 5))) # E: numpy.ndarray[Any, numpy.dtype[Any]] +reveal_type(np.lib.stride_tricks.sliding_window_view(AR_f8, [9], axis=1)) # E: numpy.ndarray[Any, numpy.dtype[{float64}]] + +reveal_type(np.broadcast_to(AR_f8, 5)) # E: numpy.ndarray[Any, numpy.dtype[{float64}]] +reveal_type(np.broadcast_to(AR_LIKE_f, (1, 5))) # E: numpy.ndarray[Any, numpy.dtype[Any]] +reveal_type(np.broadcast_to(AR_f8, [4, 6], subok=True)) # E: numpy.ndarray[Any, numpy.dtype[{float64}]] + +reveal_type(np.broadcast_shapes((1, 2), [3, 1], (3, 2))) # E: tuple[builtins.int] +reveal_type(np.broadcast_shapes((6, 7), (5, 6, 1), 7, (5, 1, 7))) # E: tuple[builtins.int] + +reveal_type(np.broadcast_arrays(AR_f8, AR_f8)) # E: list[numpy.ndarray[Any, numpy.dtype[Any]]] +reveal_type(np.broadcast_arrays(AR_f8, AR_LIKE_f)) # E: list[numpy.ndarray[Any, numpy.dtype[Any]]] |