import numpy as np
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import numpy._typing as npt
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class Index:
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def __index__(self) -> int: ...
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a: np.flatiter[npt.NDArray[np.float64]]
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supports_array: npt._SupportsArray[np.dtype[np.float64]]
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a.base = object() # type: ignore[assignment, misc]
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a.coords = object() # type: ignore[assignment, misc]
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a.index = object() # type: ignore[assignment, misc]
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a.copy(order='C') # type: ignore[call-arg]
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# NOTE: Contrary to `ndarray.__getitem__` its counterpart in `flatiter`
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# does not accept objects with the `__array__` or `__index__` protocols;
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# boolean indexing is just plain broken (gh-17175)
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a[np.bool()] # type: ignore[index]
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a[Index()] # type: ignore[call-overload]
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a[supports_array] # type: ignore[index]
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