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# *****************************************************************************
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# See NOTICE file for details.
#
# *****************************************************************************
import os
import pickle
import sys
import common
import jpype
from jpype import java
from jpype.pickle import JPickler, JUnpickler
def dump(fname):
with open(fname, "rb") as fd:
data = fd.read()
out = ["%02x" % i for i in data]
print("Pickle fail", " ".join(out), file=sys.stderr)
class PickleTestCase(common.JPypeTestCase):
def setUp(self):
super(PickleTestCase, self).setUp()
self.filename = "test.pic"
def tearDown(self):
try:
os.unlink(self.filename)
except OSError:
pass
def testString(self):
try:
s = java.lang.String("test")
with open(self.filename, "wb") as fd:
JPickler(fd).dump(s)
with open(self.filename, "rb") as fd:
s2 = JUnpickler(fd).load()
except pickle.UnpicklingError:
dump(self.filename)
self.assertEqual(s, s2)
def testString2(self):
try:
s1 = java.lang.String("test1")
s2 = java.lang.String("test2")
with open(self.filename, "wb") as fd:
pickler = JPickler(fd)
pickler.dump(s1)
pickler.dump(s2)
with open(self.filename, "rb") as fd:
unpickler = JUnpickler(fd)
s1_ = unpickler.load()
s2_ = unpickler.load()
self.assertEqual(s1, s1_)
self.assertEqual(s2, s2_)
except pickle.UnpicklingError:
dump(self.filename)
def testList(self):
s = java.util.ArrayList()
s.add("test")
s.add("this")
try:
with open(self.filename, "wb") as fd:
JPickler(fd).dump(s)
with open(self.filename, "rb") as fd:
s2 = JUnpickler(fd).load()
except pickle.UnpicklingError:
dump(self.filename)
self.assertEqual(s2.get(0), "test")
self.assertEqual(s2.get(1), "this")
def testMixed(self):
d = {"array": java.util.ArrayList(),
"string": java.lang.String("food")}
try:
with open(self.filename, "wb") as fd:
JPickler(fd).dump(d)
with open(self.filename, "rb") as fd:
d2 = JUnpickler(fd).load()
except pickle.UnpicklingError:
dump(self.filename)
self.assertEqual(d2['string'], "food")
self.assertIsInstance(d2['array'], java.util.ArrayList)
def testMultiObject(self):
"""Regression test for https://github.com/jpype-project/jpype/issues/1201
Issue occurs when a python object contains multiple java objects above
a certain size. The issue occurs because of a buffer overflow in
``native/java/org/jpype/pickle/ByteBufferInputStream.java``.
"""
JString = jpype.JClass("java.lang.String")
composite_object = {"a": JString('A' * 512), "b": JString('B' * 512)}
with open(self.filename, "wb") as fd:
JPickler(fd).dump(composite_object)
with open(self.filename, "rb") as fd:
loaded_object = JUnpickler(fd).load()
assert loaded_object['a'] == str(composite_object['a'])
assert loaded_object['b'] == str(composite_object['b'])
def testByteBufferInputStream(self):
JByteBufferInputStream = jpype.JClass("org.jpype.pickle.ByteBufferInputStream")
stream = JByteBufferInputStream()
bb = jpype.JClass("java.nio.ByteBuffer").allocate(10)
stream.put(b"abc")
stream.put(b"def")
assert stream.read() == ord('a')
assert stream.read(bb.array()) == 5
assert bytes(bb.array()) == b'bcdef\x00\x00\x00\x00\x00'
def testFail(self):
s = java.lang.Object()
with self.assertRaises(java.io.NotSerializableException):
with open(self.filename, "wb") as fd:
JPickler(fd).dump(s)
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