def __init__(self, values: np.ndarray | PandasArray, copy: bool = False):
if isinstance(values, type(self)):
values = values._ndarray
if not isinstance(values, np.ndarray):
raise ValueError(
f"'values' must be a NumPy array, not {type(values).__name__}")
if values.ndim == 0:
# Technically we support 2, but do not advertise that fact.
raise ValueError("PandasArray must be 1-dimensional.")
if copy:
values = values.copy()
dtype = PandasDtype(values.dtype)
super().__init__(values, dtype)