##// END OF EJS Templates
changegroup: move message about added changes to transaction summary...
changegroup: move message about added changes to transaction summary Before that, applying multiple changegroups in the same transaction issued the message multiple time. This result in a confusing output: adding changesets adding manifests adding file changes added 32768 changesets with 60829 changes to 2668 files adding changesets adding manifests adding file changes added 8192 changesets with 16885 changes to 1553 files adding changesets adding manifests adding file changes added 1020 changesets with 1799 changes to 536 files adding changesets adding manifests ... Instead, we now only issue the message once at the end of the transaction, summing up all added changesets, changes and files. The line is identical, but happens sightly later in the output. There are other suboptimal behavior around issue multiple changegroup (eg: progress bar). We'll cover them later. This impact of lot of test as one would expect, but a two pass check show they are just the order change we expected. To deal with "under the hood" bundle application by internal code, we had to take a slightly hacky move. We could clean that up with a more official way to enter "under the hood" section, however I want to keep this series simple to get it landed. This kind of change have a very high bit rot rate since it impact a lot of test output.

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test_compressor_fuzzing.py
710 lines | 28.7 KiB | text/x-python | PythonLexer
import io
import os
import unittest
try:
import hypothesis
import hypothesis.strategies as strategies
except ImportError:
raise unittest.SkipTest('hypothesis not available')
import zstandard as zstd
from . common import (
make_cffi,
NonClosingBytesIO,
random_input_data,
)
@unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set')
@make_cffi
class TestCompressor_stream_reader_fuzzing(unittest.TestCase):
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_size=strategies.integers(-1, zstd.COMPRESSION_RECOMMENDED_OUTPUT_SIZE))
def test_stream_source_read(self, original, level, source_read_size,
read_size):
if read_size == 0:
read_size = -1
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(io.BytesIO(original), size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
chunk = reader.read(read_size)
if not chunk:
break
chunks.append(chunk)
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_size=strategies.integers(-1, zstd.COMPRESSION_RECOMMENDED_OUTPUT_SIZE))
def test_buffer_source_read(self, original, level, source_read_size,
read_size):
if read_size == 0:
read_size = -1
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(original, size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
chunk = reader.read(read_size)
if not chunk:
break
chunks.append(chunk)
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_sizes=strategies.data())
def test_stream_source_read_variance(self, original, level, source_read_size,
read_sizes):
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(io.BytesIO(original), size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
read_size = read_sizes.draw(strategies.integers(-1, 16384))
chunk = reader.read(read_size)
if not chunk and read_size:
break
chunks.append(chunk)
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_sizes=strategies.data())
def test_buffer_source_read_variance(self, original, level, source_read_size,
read_sizes):
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(original, size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
read_size = read_sizes.draw(strategies.integers(-1, 16384))
chunk = reader.read(read_size)
if not chunk and read_size:
break
chunks.append(chunk)
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_size=strategies.integers(1, zstd.COMPRESSION_RECOMMENDED_OUTPUT_SIZE))
def test_stream_source_readinto(self, original, level,
source_read_size, read_size):
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(io.BytesIO(original), size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
b = bytearray(read_size)
count = reader.readinto(b)
if not count:
break
chunks.append(bytes(b[0:count]))
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_size=strategies.integers(1, zstd.COMPRESSION_RECOMMENDED_OUTPUT_SIZE))
def test_buffer_source_readinto(self, original, level,
source_read_size, read_size):
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(original, size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
b = bytearray(read_size)
count = reader.readinto(b)
if not count:
break
chunks.append(bytes(b[0:count]))
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_sizes=strategies.data())
def test_stream_source_readinto_variance(self, original, level,
source_read_size, read_sizes):
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(io.BytesIO(original), size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
read_size = read_sizes.draw(strategies.integers(1, 16384))
b = bytearray(read_size)
count = reader.readinto(b)
if not count:
break
chunks.append(bytes(b[0:count]))
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_sizes=strategies.data())
def test_buffer_source_readinto_variance(self, original, level,
source_read_size, read_sizes):
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(original, size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
read_size = read_sizes.draw(strategies.integers(1, 16384))
b = bytearray(read_size)
count = reader.readinto(b)
if not count:
break
chunks.append(bytes(b[0:count]))
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_size=strategies.integers(-1, zstd.COMPRESSION_RECOMMENDED_OUTPUT_SIZE))
def test_stream_source_read1(self, original, level, source_read_size,
read_size):
if read_size == 0:
read_size = -1
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(io.BytesIO(original), size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
chunk = reader.read1(read_size)
if not chunk:
break
chunks.append(chunk)
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_size=strategies.integers(-1, zstd.COMPRESSION_RECOMMENDED_OUTPUT_SIZE))
def test_buffer_source_read1(self, original, level, source_read_size,
read_size):
if read_size == 0:
read_size = -1
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(original, size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
chunk = reader.read1(read_size)
if not chunk:
break
chunks.append(chunk)
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_sizes=strategies.data())
def test_stream_source_read1_variance(self, original, level, source_read_size,
read_sizes):
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(io.BytesIO(original), size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
read_size = read_sizes.draw(strategies.integers(-1, 16384))
chunk = reader.read1(read_size)
if not chunk and read_size:
break
chunks.append(chunk)
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_sizes=strategies.data())
def test_buffer_source_read1_variance(self, original, level, source_read_size,
read_sizes):
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(original, size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
read_size = read_sizes.draw(strategies.integers(-1, 16384))
chunk = reader.read1(read_size)
if not chunk and read_size:
break
chunks.append(chunk)
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_size=strategies.integers(1, zstd.COMPRESSION_RECOMMENDED_OUTPUT_SIZE))
def test_stream_source_readinto1(self, original, level, source_read_size,
read_size):
if read_size == 0:
read_size = -1
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(io.BytesIO(original), size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
b = bytearray(read_size)
count = reader.readinto1(b)
if not count:
break
chunks.append(bytes(b[0:count]))
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_size=strategies.integers(1, zstd.COMPRESSION_RECOMMENDED_OUTPUT_SIZE))
def test_buffer_source_readinto1(self, original, level, source_read_size,
read_size):
if read_size == 0:
read_size = -1
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(original, size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
b = bytearray(read_size)
count = reader.readinto1(b)
if not count:
break
chunks.append(bytes(b[0:count]))
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_sizes=strategies.data())
def test_stream_source_readinto1_variance(self, original, level, source_read_size,
read_sizes):
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(io.BytesIO(original), size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
read_size = read_sizes.draw(strategies.integers(1, 16384))
b = bytearray(read_size)
count = reader.readinto1(b)
if not count:
break
chunks.append(bytes(b[0:count]))
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 16384),
read_sizes=strategies.data())
def test_buffer_source_readinto1_variance(self, original, level, source_read_size,
read_sizes):
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
with cctx.stream_reader(original, size=len(original),
read_size=source_read_size) as reader:
chunks = []
while True:
read_size = read_sizes.draw(strategies.integers(1, 16384))
b = bytearray(read_size)
count = reader.readinto1(b)
if not count:
break
chunks.append(bytes(b[0:count]))
self.assertEqual(b''.join(chunks), ref_frame)
@unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set')
@make_cffi
class TestCompressor_stream_writer_fuzzing(unittest.TestCase):
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
write_size=strategies.integers(min_value=1, max_value=1048576))
def test_write_size_variance(self, original, level, write_size):
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
b = NonClosingBytesIO()
with cctx.stream_writer(b, size=len(original), write_size=write_size) as compressor:
compressor.write(original)
self.assertEqual(b.getvalue(), ref_frame)
@unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set')
@make_cffi
class TestCompressor_copy_stream_fuzzing(unittest.TestCase):
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
read_size=strategies.integers(min_value=1, max_value=1048576),
write_size=strategies.integers(min_value=1, max_value=1048576))
def test_read_write_size_variance(self, original, level, read_size, write_size):
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
source = io.BytesIO(original)
dest = io.BytesIO()
cctx.copy_stream(source, dest, size=len(original), read_size=read_size,
write_size=write_size)
self.assertEqual(dest.getvalue(), ref_frame)
@unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set')
@make_cffi
class TestCompressor_compressobj_fuzzing(unittest.TestCase):
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
chunk_sizes=strategies.data())
def test_random_input_sizes(self, original, level, chunk_sizes):
refctx = zstd.ZstdCompressor(level=level)
ref_frame = refctx.compress(original)
cctx = zstd.ZstdCompressor(level=level)
cobj = cctx.compressobj(size=len(original))
chunks = []
i = 0
while True:
chunk_size = chunk_sizes.draw(strategies.integers(1, 4096))
source = original[i:i + chunk_size]
if not source:
break
chunks.append(cobj.compress(source))
i += chunk_size
chunks.append(cobj.flush())
self.assertEqual(b''.join(chunks), ref_frame)
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
chunk_sizes=strategies.data(),
flushes=strategies.data())
def test_flush_block(self, original, level, chunk_sizes, flushes):
cctx = zstd.ZstdCompressor(level=level)
cobj = cctx.compressobj()
dctx = zstd.ZstdDecompressor()
dobj = dctx.decompressobj()
compressed_chunks = []
decompressed_chunks = []
i = 0
while True:
input_size = chunk_sizes.draw(strategies.integers(1, 4096))
source = original[i:i + input_size]
if not source:
break
i += input_size
chunk = cobj.compress(source)
compressed_chunks.append(chunk)
decompressed_chunks.append(dobj.decompress(chunk))
if not flushes.draw(strategies.booleans()):
continue
chunk = cobj.flush(zstd.COMPRESSOBJ_FLUSH_BLOCK)
compressed_chunks.append(chunk)
decompressed_chunks.append(dobj.decompress(chunk))
self.assertEqual(b''.join(decompressed_chunks), original[0:i])
chunk = cobj.flush(zstd.COMPRESSOBJ_FLUSH_FINISH)
compressed_chunks.append(chunk)
decompressed_chunks.append(dobj.decompress(chunk))
self.assertEqual(dctx.decompress(b''.join(compressed_chunks),
max_output_size=len(original)),
original)
self.assertEqual(b''.join(decompressed_chunks), original)
@unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set')
@make_cffi
class TestCompressor_read_to_iter_fuzzing(unittest.TestCase):
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
read_size=strategies.integers(min_value=1, max_value=4096),
write_size=strategies.integers(min_value=1, max_value=4096))
def test_read_write_size_variance(self, original, level, read_size, write_size):
refcctx = zstd.ZstdCompressor(level=level)
ref_frame = refcctx.compress(original)
source = io.BytesIO(original)
cctx = zstd.ZstdCompressor(level=level)
chunks = list(cctx.read_to_iter(source, size=len(original),
read_size=read_size,
write_size=write_size))
self.assertEqual(b''.join(chunks), ref_frame)
@unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set')
class TestCompressor_multi_compress_to_buffer_fuzzing(unittest.TestCase):
@hypothesis.given(original=strategies.lists(strategies.sampled_from(random_input_data()),
min_size=1, max_size=1024),
threads=strategies.integers(min_value=1, max_value=8),
use_dict=strategies.booleans())
def test_data_equivalence(self, original, threads, use_dict):
kwargs = {}
# Use a content dictionary because it is cheap to create.
if use_dict:
kwargs['dict_data'] = zstd.ZstdCompressionDict(original[0])
cctx = zstd.ZstdCompressor(level=1,
write_checksum=True,
**kwargs)
if not hasattr(cctx, 'multi_compress_to_buffer'):
self.skipTest('multi_compress_to_buffer not available')
result = cctx.multi_compress_to_buffer(original, threads=-1)
self.assertEqual(len(result), len(original))
# The frame produced via the batch APIs may not be bit identical to that
# produced by compress() because compression parameters are adjusted
# from the first input in batch mode. So the only thing we can do is
# verify the decompressed data matches the input.
dctx = zstd.ZstdDecompressor(**kwargs)
for i, frame in enumerate(result):
self.assertEqual(dctx.decompress(frame), original[i])
@unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set')
@make_cffi
class TestCompressor_chunker_fuzzing(unittest.TestCase):
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
chunk_size=strategies.integers(
min_value=1,
max_value=32 * 1048576),
input_sizes=strategies.data())
def test_random_input_sizes(self, original, level, chunk_size, input_sizes):
cctx = zstd.ZstdCompressor(level=level)
chunker = cctx.chunker(chunk_size=chunk_size)
chunks = []
i = 0
while True:
input_size = input_sizes.draw(strategies.integers(1, 4096))
source = original[i:i + input_size]
if not source:
break
chunks.extend(chunker.compress(source))
i += input_size
chunks.extend(chunker.finish())
dctx = zstd.ZstdDecompressor()
self.assertEqual(dctx.decompress(b''.join(chunks),
max_output_size=len(original)),
original)
self.assertTrue(all(len(chunk) == chunk_size for chunk in chunks[:-1]))
@hypothesis.settings(
suppress_health_check=[hypothesis.HealthCheck.large_base_example])
@hypothesis.given(original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
chunk_size=strategies.integers(
min_value=1,
max_value=32 * 1048576),
input_sizes=strategies.data(),
flushes=strategies.data())
def test_flush_block(self, original, level, chunk_size, input_sizes,
flushes):
cctx = zstd.ZstdCompressor(level=level)
chunker = cctx.chunker(chunk_size=chunk_size)
dctx = zstd.ZstdDecompressor()
dobj = dctx.decompressobj()
compressed_chunks = []
decompressed_chunks = []
i = 0
while True:
input_size = input_sizes.draw(strategies.integers(1, 4096))
source = original[i:i + input_size]
if not source:
break
i += input_size
chunks = list(chunker.compress(source))
compressed_chunks.extend(chunks)
decompressed_chunks.append(dobj.decompress(b''.join(chunks)))
if not flushes.draw(strategies.booleans()):
continue
chunks = list(chunker.flush())
compressed_chunks.extend(chunks)
decompressed_chunks.append(dobj.decompress(b''.join(chunks)))
self.assertEqual(b''.join(decompressed_chunks), original[0:i])
chunks = list(chunker.finish())
compressed_chunks.extend(chunks)
decompressed_chunks.append(dobj.decompress(b''.join(chunks)))
self.assertEqual(dctx.decompress(b''.join(compressed_chunks),
max_output_size=len(original)),
original)
self.assertEqual(b''.join(decompressed_chunks), original)