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