Lib.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
import unittest
from cStringIO import StringIO
from test.pickletester import AbstractPickleTests, AbstractPickleModuleTests
from test import test_support
class ApproxFloat(unittest.TestCase):
# FIXME for Jython: remove this class - and its use from bases in
# subsequent test classes - when we can guarantee that floats that
# are pickled by cPickle are exact in the same way they are on
# CPython
def test_float(self):
from test.pickletester import protocols
test_values = [0.0, 4.94e-324, 1e-310, 7e-308, 6.626e-34, 0.1, 0.5,
3.14, 263.44582062374053, 6.022e23, 1e30]
test_values = test_values + [-x for x in test_values]
for proto in protocols:
for value in test_values:
pickle = self.dumps(value, proto)
got = self.loads(pickle)
self.assertAlmostEqual(value, got)
class cPickleTests(ApproxFloat, AbstractPickleTests, AbstractPickleModuleTests):
def setUp(self):
self.dumps = cPickle.dumps
self.loads = cPickle.loads
error = cPickle.BadPickleGet
module = cPickle
@unittest.skipIf(test_support.is_jython, "FIXME: not working on Jython")
def test_callapi(self):
pass
@unittest.skipIf(test_support.is_jython, "FIXME: not working on Jython")
def test_dynamic_class(self):
pass
class cPicklePicklerTests(ApproxFloat, 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
@unittest.skipIf(test_support.is_jython, "FIXME: not working on Jython")
def test_dynamic_class(self):
pass
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(ApproxFloat, 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_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)
@unittest.skipIf(test_support.is_jython, "FIXME: not working on Jython")
def test_dynamic_class(self):
pass
def test_main():
tests = [
cPickleTests,
cPicklePicklerTests,
cPickleListPicklerTests,
cPickleFastPicklerTests
]
if test_support.is_jython:
# FIXME Jython currently doesn't support list based picklers
tests.remove(cPickleListPicklerTests)
# FIXME these cause NullPointerException on Jython
del cPickleFastPicklerTests.test_recursive_list
del cPickleFastPicklerTests.test_recursive_inst
del cPickleFastPicklerTests.test_recursive_dict
del cPickleFastPicklerTests.test_recursive_multi
test_support.run_unittest(*tests)
if __name__ == "__main__":
test_main()