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gh-116738: Use PyMutex for lzma module#140711
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,56 @@ | ||
| import unittest | ||
| from test.support import import_helper, threading_helper | ||
| from test.support.threading_helper import run_concurrently | ||
| lzma = import_helper.import_module("lzma") | ||
| from lzma import LZMACompressor, LZMADecompressor | ||
| from test.test_lzma import INPUT | ||
| NTHREADS = 10 | ||
| @threading_helper.requires_working_threading() | ||
| class TestLZMA(unittest.TestCase): | ||
| def test_compressor(self): | ||
| lzc = LZMACompressor() | ||
| # First compress() outputs LZMA header | ||
| header = lzc.compress(INPUT) | ||
| self.assertGreater(len(header), 0) | ||
| def worker(): | ||
| # it should return empty bytes as it buffers data internally | ||
| data = lzc.compress(INPUT) | ||
| self.assertEqual(data, b"") | ||
| run_concurrently(worker_func=worker, nthreads=NTHREADS - 1) | ||
| full_compressed = header + lzc.flush() | ||
| decompressed = lzma.decompress(full_compressed) | ||
| # The decompressed data should be INPUT repeated NTHREADS times | ||
| self.assertEqual(decompressed, INPUT * NTHREADS) | ||
| def test_decompressor(self): | ||
| chunk_size = 128 | ||
| chunks = [bytes([ord("a") + i]) * chunk_size for i in range(NTHREADS)] | ||
| input_data = b"".join(chunks) | ||
| compressed = lzma.compress(input_data) | ||
| lzd = LZMADecompressor() | ||
| output = [] | ||
| def worker(): | ||
| data = lzd.decompress(compressed, chunk_size) | ||
| self.assertEqual(len(data), chunk_size) | ||
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| output.append(data) | ||
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| run_concurrently(worker_func=worker, nthreads=NTHREADS) | ||
| self.assertEqual(len(output), NTHREADS) | ||
| # Verify the expected chunks (order doesn't matter due to append race) | ||
| self.assertSetEqual(set(output), set(chunks)) | ||
| if __name__ == "__main__": | ||
| unittest.main() | ||
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