Closed
Description
Here is a minimal case to reproduce the cause of the failure (to reproduce with pypy3):
import numpy as np
from sklearn.neighbors import KNeighborsClassifier
from sklearn.utils import parallel_backend
import cloudpickle
import pickle
parallel_backend('loky')
X = np.random.randn(3, 1)
y = X[:, 0] > 0
knn = KNeighborsClassifier(algorithm="ball_tree").fit(X, y)
pickle.loads(cloudpickle.dumps(knn._tree.query))which results in:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-36-9fc0a20fa010> in <module>
----> 1 pickle.loads(cloudpickle.dumps(knn._tree.query))
~/pypy3-v6.0.0-linux64/lib-python/3/pickle.py in _loads(s, fix_imports, encoding, errors)
1585 file = io.BytesIO(s)
1586 return _Unpickler(file, fix_imports=fix_imports,
-> 1587 encoding=encoding, errors=errors).load()
1588
1589 # Use the faster _pickle if possible
~/pypy3-v6.0.0-linux64/lib-python/3/pickle.py in load(self)
1061 raise EOFError
1062 assert isinstance(key, bytes_types)
-> 1063 dispatch[key[0]](self)
1064 except _Stop as stopinst:
1065 return stopinst.value
~/pypy3-v6.0.0-linux64/lib-python/3/pickle.py in load_newobj(self)
1345 args = self.stack.pop()
1346 cls = self.stack.pop()
-> 1347 obj = cls.__new__(cls, *args)
1348 self.append(obj)
1349 dispatch[NEWOBJ[0]] = load_newobj
TypeError: object.__new__(getset_descriptor) is not safe, use getset_descriptor.__new__()This is probably a bug in cloudpickle but I don't have time to investigate further tonight. We could skip the failing tests under PyPy in the mean time if they are to noisy.