import numpy as np
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import numpy.typing as npt
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nd: npt.NDArray[np.int_] = np.array([[1, 2], [3, 4]])
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# item
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reveal_type(nd.item()) # E: int
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reveal_type(nd.item(1)) # E: int
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reveal_type(nd.item(0, 1)) # E: int
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reveal_type(nd.item((0, 1))) # E: int
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# tolist
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reveal_type(nd.tolist()) # E: Any
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# itemset does not return a value
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# tostring is pretty simple
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# tobytes is pretty simple
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# tofile does not return a value
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# dump does not return a value
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# dumps is pretty simple
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# astype
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reveal_type(nd.astype("float")) # E: ndarray[Any, dtype[Any]]
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reveal_type(nd.astype(float)) # E: ndarray[Any, dtype[Any]]
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reveal_type(nd.astype(np.float64)) # E: ndarray[Any, dtype[{float64}]]
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reveal_type(nd.astype(np.float64, "K")) # E: ndarray[Any, dtype[{float64}]]
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reveal_type(nd.astype(np.float64, "K", "unsafe")) # E: ndarray[Any, dtype[{float64}]]
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reveal_type(nd.astype(np.float64, "K", "unsafe", True)) # E: ndarray[Any, dtype[{float64}]]
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reveal_type(nd.astype(np.float64, "K", "unsafe", True, True)) # E: ndarray[Any, dtype[{float64}]]
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# byteswap
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reveal_type(nd.byteswap()) # E: ndarray[Any, dtype[{int_}]]
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reveal_type(nd.byteswap(True)) # E: ndarray[Any, dtype[{int_}]]
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# copy
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reveal_type(nd.copy()) # E: ndarray[Any, dtype[{int_}]]
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reveal_type(nd.copy("C")) # E: ndarray[Any, dtype[{int_}]]
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reveal_type(nd.view()) # E: ndarray[Any, dtype[{int_}]]
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reveal_type(nd.view(np.float64)) # E: ndarray[Any, dtype[{float64}]]
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reveal_type(nd.view(float)) # E: ndarray[Any, dtype[Any]]
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reveal_type(nd.view(np.float64, np.matrix)) # E: matrix[Any, Any]
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# getfield
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reveal_type(nd.getfield("float")) # E: ndarray[Any, dtype[Any]]
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reveal_type(nd.getfield(float)) # E: ndarray[Any, dtype[Any]]
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reveal_type(nd.getfield(np.float64)) # E: ndarray[Any, dtype[{float64}]]
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reveal_type(nd.getfield(np.float64, 8)) # E: ndarray[Any, dtype[{float64}]]
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# setflags does not return a value
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# fill does not return a value
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