def any( self, *, axis: int | None = None, out=None, keepdims: bool = False, skipna: bool = True, ): nv.validate_any((), {"out": out, "keepdims": keepdims}) result = nanops.nanany(self._ndarray, axis=axis, skipna=skipna) return self._wrap_reduction_result(axis, result)
def any(self, axis=None, out=None, keepdims=False, skipna=True): nv.validate_any((), dict(out=out, keepdims=keepdims)) return nanops.nanany(self._ndarray, axis=axis, skipna=skipna)
def any(self, axis=None, out=None, keepdims=False, skipna=True): nv.validate_any((), dict(out=out, keepdims=keepdims)) return nanops.nanany(self._ndarray, axis=axis, skipna=skipna)
def any(self, *, axis=None, out=None, keepdims=False, skipna=True): nv.validate_any((), dict(out=out, keepdims=keepdims)) result = nanops.nanany(self._ndarray, axis=axis, skipna=skipna) return self._wrap_reduction_result(axis, result)