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