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