cpython/Lib/test/test_json/test_dump.py

69 lines
2.0 KiB
Python

from io import StringIO
from test.test_json import PyTest, CTest
from test.support import bigmemtest, _1G
class TestDump:
def test_dump(self):
sio = StringIO()
self.json.dump({}, sio)
self.assertEqual(sio.getvalue(), '{}')
def test_dumps(self):
self.assertEqual(self.dumps({}), '{}')
def test_encode_truefalse(self):
self.assertEqual(self.dumps(
{True: False, False: True}, sort_keys=True),
'{"false": true, "true": false}')
self.assertEqual(self.dumps(
{2: 3.0, 4.0: 5, False: 1, 6: True}, sort_keys=True),
'{"false": 1, "2": 3.0, "4.0": 5, "6": true}')
# Issue 16228: Crash on encoding resized list
def test_encode_mutated(self):
a = [object()] * 10
def crasher(obj):
del a[-1]
self.assertEqual(self.dumps(a, default=crasher),
'[null, null, null, null, null]')
# Issue 24094
def test_encode_evil_dict(self):
class D(dict):
def keys(self):
return L
class X:
def __hash__(self):
del L[0]
return 1337
def __lt__(self, o):
return 0
L = [X() for i in range(1122)]
d = D()
d[1337] = "true.dat"
self.assertEqual(self.dumps(d, sort_keys=True), '{"1337": "true.dat"}')
class TestPyDump(TestDump, PyTest): pass
class TestCDump(TestDump, CTest):
# The size requirement here is hopefully over-estimated (actual
# memory consumption depending on implementation details, and also
# system memory management, since this may allocate a lot of
# small objects).
@bigmemtest(size=_1G, memuse=1)
def test_large_list(self, size):
N = int(30 * 1024 * 1024 * (size / _1G))
l = [1] * N
encoded = self.dumps(l)
self.assertEqual(len(encoded), N * 3)
self.assertEqual(encoded[:1], "[")
self.assertEqual(encoded[-2:], "1]")
self.assertEqual(encoded[1:-2], "1, " * (N - 1))