30 lines
1.3 KiB
Python
30 lines
1.3 KiB
Python
from typing import Any
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import numpy as np
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AR_LIKE_b: list[bool]
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AR_LIKE_u: list[np.uint32]
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AR_LIKE_i: list[int]
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AR_LIKE_f: list[float]
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AR_LIKE_O: list[np.object_]
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AR_U: np.ndarray[Any, np.dtype[np.str_]]
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reveal_type(np.fix(AR_LIKE_b)) # E: ndarray[Any, dtype[floating[Any]]]
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reveal_type(np.fix(AR_LIKE_u)) # E: ndarray[Any, dtype[floating[Any]]]
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reveal_type(np.fix(AR_LIKE_i)) # E: ndarray[Any, dtype[floating[Any]]]
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reveal_type(np.fix(AR_LIKE_f)) # E: ndarray[Any, dtype[floating[Any]]]
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reveal_type(np.fix(AR_LIKE_O)) # E: Any
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reveal_type(np.fix(AR_LIKE_f, out=AR_U)) # E: ndarray[Any, dtype[str_]]
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reveal_type(np.isposinf(AR_LIKE_b)) # E: ndarray[Any, dtype[bool_]]
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reveal_type(np.isposinf(AR_LIKE_u)) # E: ndarray[Any, dtype[bool_]]
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reveal_type(np.isposinf(AR_LIKE_i)) # E: ndarray[Any, dtype[bool_]]
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reveal_type(np.isposinf(AR_LIKE_f)) # E: ndarray[Any, dtype[bool_]]
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reveal_type(np.isposinf(AR_LIKE_f, out=AR_U)) # E: ndarray[Any, dtype[str_]]
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reveal_type(np.isneginf(AR_LIKE_b)) # E: ndarray[Any, dtype[bool_]]
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reveal_type(np.isneginf(AR_LIKE_u)) # E: ndarray[Any, dtype[bool_]]
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reveal_type(np.isneginf(AR_LIKE_i)) # E: ndarray[Any, dtype[bool_]]
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reveal_type(np.isneginf(AR_LIKE_f)) # E: ndarray[Any, dtype[bool_]]
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reveal_type(np.isneginf(AR_LIKE_f, out=AR_U)) # E: ndarray[Any, dtype[str_]]
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