lib-python.2.7.test.test_cpickle.py Maven / Gradle / Ivy
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Jython is an implementation of the high-level, dynamic, object-oriented
language Python written in 100% Pure Java, and seamlessly integrated with
the Java platform. It thus allows you to run Python on any Java platform.
import cPickle, unittest
from cStringIO import StringIO
from test.pickletester import (AbstractPickleTests,
AbstractPickleModuleTests,
AbstractPicklerUnpicklerObjectTests,
BigmemPickleTests)
from test import test_support
class cPickleTests(AbstractPickleTests, AbstractPickleModuleTests):
def setUp(self):
self.dumps = cPickle.dumps
self.loads = cPickle.loads
error = cPickle.BadPickleGet
module = cPickle
class cPicklePicklerTests(AbstractPickleTests):
def dumps(self, arg, proto=0):
f = StringIO()
p = cPickle.Pickler(f, proto)
p.dump(arg)
f.seek(0)
return f.read()
def loads(self, buf):
f = StringIO(buf)
p = cPickle.Unpickler(f)
return p.load()
error = cPickle.BadPickleGet
class cPickleListPicklerTests(AbstractPickleTests):
def dumps(self, arg, proto=0):
p = cPickle.Pickler(proto)
p.dump(arg)
return p.getvalue()
def loads(self, *args):
f = StringIO(args[0])
p = cPickle.Unpickler(f)
return p.load()
error = cPickle.BadPickleGet
class cPickleFastPicklerTests(AbstractPickleTests):
def dumps(self, arg, proto=0):
f = StringIO()
p = cPickle.Pickler(f, proto)
p.fast = 1
p.dump(arg)
f.seek(0)
return f.read()
def loads(self, *args):
f = StringIO(args[0])
p = cPickle.Unpickler(f)
return p.load()
error = cPickle.BadPickleGet
def test_recursive_list(self):
self.assertRaises(ValueError,
AbstractPickleTests.test_recursive_list,
self)
def test_recursive_tuple(self):
self.assertRaises(ValueError,
AbstractPickleTests.test_recursive_tuple,
self)
def test_recursive_inst(self):
self.assertRaises(ValueError,
AbstractPickleTests.test_recursive_inst,
self)
def test_recursive_dict(self):
self.assertRaises(ValueError,
AbstractPickleTests.test_recursive_dict,
self)
def test_recursive_multi(self):
self.assertRaises(ValueError,
AbstractPickleTests.test_recursive_multi,
self)
def test_nonrecursive_deep(self):
# If it's not cyclic, it should pickle OK even if the nesting
# depth exceeds PY_CPICKLE_FAST_LIMIT. That happens to be
# 50 today. Jack Jansen reported stack overflow on Mac OS 9
# at 64.
a = []
for i in range(60):
a = [a]
b = self.loads(self.dumps(a))
self.assertEqual(a, b)
class cPicklePicklerUnpicklerObjectTests(AbstractPicklerUnpicklerObjectTests):
pickler_class = cPickle.Pickler
unpickler_class = cPickle.Unpickler
class cPickleBigmemPickleTests(BigmemPickleTests):
def dumps(self, arg, proto=0, fast=0):
# Ignore fast
return cPickle.dumps(arg, proto)
def loads(self, buf):
# Ignore fast
return cPickle.loads(buf)
class Node(object):
pass
class cPickleDeepRecursive(unittest.TestCase):
def test_issue2702(self):
# This should raise a RecursionLimit but in some
# platforms (FreeBSD, win32) sometimes raises KeyError instead,
# or just silently terminates the interpreter (=crashes).
nodes = [Node() for i in range(500)]
for n in nodes:
n.connections = list(nodes)
n.connections.remove(n)
self.assertRaises((AttributeError, RuntimeError), cPickle.dumps, n)
def test_issue3179(self):
# Safe test, because I broke this case when fixing the
# behaviour for the previous test.
res=[]
for x in range(1,2000):
res.append(dict(doc=x, similar=[]))
cPickle.dumps(res)
def test_main():
test_support.run_unittest(
cPickleTests,
cPicklePicklerTests,
cPickleListPicklerTests,
cPickleFastPicklerTests,
cPickleDeepRecursive,
cPicklePicklerUnpicklerObjectTests,
cPickleBigmemPickleTests,
)
if __name__ == "__main__":
test_main()