git: use the correct type for stopping changelog.revs()
The `tip` function returns a binary node, but the database is expecting an int.
Differential Revision: https://phab.mercurial-scm.org/D10525
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,
TestCase,
)
@unittest.skipUnless("ZSTD_SLOW_TESTS" in os.environ, "ZSTD_SLOW_TESTS not set")
@make_cffi
class TestDecompressor_stream_reader_fuzzing(TestCase):
@hypothesis.settings(
suppress_health_check=[
hypothesis.HealthCheck.large_base_example,
hypothesis.HealthCheck.too_slow,
]
)
@hypothesis.given(
original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
streaming=strategies.booleans(),
source_read_size=strategies.integers(1, 1048576),
read_sizes=strategies.data(),
)
def test_stream_source_read_variance(
self, original, level, streaming, source_read_size, read_sizes
):
cctx = zstd.ZstdCompressor(level=level)
if streaming:
source = io.BytesIO()
writer = cctx.stream_writer(source)
writer.write(original)
writer.flush(zstd.FLUSH_FRAME)
source.seek(0)
else:
frame = cctx.compress(original)
source = io.BytesIO(frame)
dctx = zstd.ZstdDecompressor()
chunks = []
with dctx.stream_reader(source, read_size=source_read_size) as reader:
while True:
read_size = read_sizes.draw(strategies.integers(-1, 131072))
chunk = reader.read(read_size)
if not chunk and read_size:
break
chunks.append(chunk)
self.assertEqual(b"".join(chunks), original)
# Similar to above except we have a constant read() size.
@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),
streaming=strategies.booleans(),
source_read_size=strategies.integers(1, 1048576),
read_size=strategies.integers(-1, 131072),
)
def test_stream_source_read_size(
self, original, level, streaming, source_read_size, read_size
):
if read_size == 0:
read_size = 1
cctx = zstd.ZstdCompressor(level=level)
if streaming:
source = io.BytesIO()
writer = cctx.stream_writer(source)
writer.write(original)
writer.flush(zstd.FLUSH_FRAME)
source.seek(0)
else:
frame = cctx.compress(original)
source = io.BytesIO(frame)
dctx = zstd.ZstdDecompressor()
chunks = []
reader = dctx.stream_reader(source, read_size=source_read_size)
while True:
chunk = reader.read(read_size)
if not chunk and read_size:
break
chunks.append(chunk)
self.assertEqual(b"".join(chunks), original)
@hypothesis.settings(
suppress_health_check=[
hypothesis.HealthCheck.large_base_example,
hypothesis.HealthCheck.too_slow,
]
)
@hypothesis.given(
original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
streaming=strategies.booleans(),
source_read_size=strategies.integers(1, 1048576),
read_sizes=strategies.data(),
)
def test_buffer_source_read_variance(
self, original, level, streaming, source_read_size, read_sizes
):
cctx = zstd.ZstdCompressor(level=level)
if streaming:
source = io.BytesIO()
writer = cctx.stream_writer(source)
writer.write(original)
writer.flush(zstd.FLUSH_FRAME)
frame = source.getvalue()
else:
frame = cctx.compress(original)
dctx = zstd.ZstdDecompressor()
chunks = []
with dctx.stream_reader(frame, read_size=source_read_size) as reader:
while True:
read_size = read_sizes.draw(strategies.integers(-1, 131072))
chunk = reader.read(read_size)
if not chunk and read_size:
break
chunks.append(chunk)
self.assertEqual(b"".join(chunks), original)
# Similar to above except we have a constant read() size.
@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),
streaming=strategies.booleans(),
source_read_size=strategies.integers(1, 1048576),
read_size=strategies.integers(-1, 131072),
)
def test_buffer_source_constant_read_size(
self, original, level, streaming, source_read_size, read_size
):
if read_size == 0:
read_size = -1
cctx = zstd.ZstdCompressor(level=level)
if streaming:
source = io.BytesIO()
writer = cctx.stream_writer(source)
writer.write(original)
writer.flush(zstd.FLUSH_FRAME)
frame = source.getvalue()
else:
frame = cctx.compress(original)
dctx = zstd.ZstdDecompressor()
chunks = []
reader = dctx.stream_reader(frame, read_size=source_read_size)
while True:
chunk = reader.read(read_size)
if not chunk and read_size:
break
chunks.append(chunk)
self.assertEqual(b"".join(chunks), original)
@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),
streaming=strategies.booleans(),
source_read_size=strategies.integers(1, 1048576),
)
def test_stream_source_readall(
self, original, level, streaming, source_read_size
):
cctx = zstd.ZstdCompressor(level=level)
if streaming:
source = io.BytesIO()
writer = cctx.stream_writer(source)
writer.write(original)
writer.flush(zstd.FLUSH_FRAME)
source.seek(0)
else:
frame = cctx.compress(original)
source = io.BytesIO(frame)
dctx = zstd.ZstdDecompressor()
data = dctx.stream_reader(source, read_size=source_read_size).readall()
self.assertEqual(data, original)
@hypothesis.settings(
suppress_health_check=[
hypothesis.HealthCheck.large_base_example,
hypothesis.HealthCheck.too_slow,
]
)
@hypothesis.given(
original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
streaming=strategies.booleans(),
source_read_size=strategies.integers(1, 1048576),
read_sizes=strategies.data(),
)
def test_stream_source_read1_variance(
self, original, level, streaming, source_read_size, read_sizes
):
cctx = zstd.ZstdCompressor(level=level)
if streaming:
source = io.BytesIO()
writer = cctx.stream_writer(source)
writer.write(original)
writer.flush(zstd.FLUSH_FRAME)
source.seek(0)
else:
frame = cctx.compress(original)
source = io.BytesIO(frame)
dctx = zstd.ZstdDecompressor()
chunks = []
with dctx.stream_reader(source, read_size=source_read_size) as reader:
while True:
read_size = read_sizes.draw(strategies.integers(-1, 131072))
chunk = reader.read1(read_size)
if not chunk and read_size:
break
chunks.append(chunk)
self.assertEqual(b"".join(chunks), original)
@hypothesis.settings(
suppress_health_check=[
hypothesis.HealthCheck.large_base_example,
hypothesis.HealthCheck.too_slow,
]
)
@hypothesis.given(
original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
streaming=strategies.booleans(),
source_read_size=strategies.integers(1, 1048576),
read_sizes=strategies.data(),
)
def test_stream_source_readinto1_variance(
self, original, level, streaming, source_read_size, read_sizes
):
cctx = zstd.ZstdCompressor(level=level)
if streaming:
source = io.BytesIO()
writer = cctx.stream_writer(source)
writer.write(original)
writer.flush(zstd.FLUSH_FRAME)
source.seek(0)
else:
frame = cctx.compress(original)
source = io.BytesIO(frame)
dctx = zstd.ZstdDecompressor()
chunks = []
with dctx.stream_reader(source, read_size=source_read_size) as reader:
while True:
read_size = read_sizes.draw(strategies.integers(1, 131072))
b = bytearray(read_size)
count = reader.readinto1(b)
if not count:
break
chunks.append(bytes(b[0:count]))
self.assertEqual(b"".join(chunks), original)
@hypothesis.settings(
suppress_health_check=[
hypothesis.HealthCheck.large_base_example,
hypothesis.HealthCheck.too_slow,
]
)
@hypothesis.given(
original=strategies.sampled_from(random_input_data()),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 1048576),
seek_amounts=strategies.data(),
read_sizes=strategies.data(),
)
def test_relative_seeks(
self, original, level, source_read_size, seek_amounts, read_sizes
):
cctx = zstd.ZstdCompressor(level=level)
frame = cctx.compress(original)
dctx = zstd.ZstdDecompressor()
with dctx.stream_reader(frame, read_size=source_read_size) as reader:
while True:
amount = seek_amounts.draw(strategies.integers(0, 16384))
reader.seek(amount, os.SEEK_CUR)
offset = reader.tell()
read_amount = read_sizes.draw(strategies.integers(1, 16384))
chunk = reader.read(read_amount)
if not chunk:
break
self.assertEqual(original[offset : offset + len(chunk)], chunk)
@hypothesis.settings(
suppress_health_check=[
hypothesis.HealthCheck.large_base_example,
hypothesis.HealthCheck.too_slow,
]
)
@hypothesis.given(
originals=strategies.data(),
frame_count=strategies.integers(min_value=2, max_value=10),
level=strategies.integers(min_value=1, max_value=5),
source_read_size=strategies.integers(1, 1048576),
read_sizes=strategies.data(),
)
def test_multiple_frames(
self, originals, frame_count, level, source_read_size, read_sizes
):
cctx = zstd.ZstdCompressor(level=level)
source = io.BytesIO()
buffer = io.BytesIO()
writer = cctx.stream_writer(buffer)
for i in range(frame_count):
data = originals.draw(strategies.sampled_from(random_input_data()))
source.write(data)
writer.write(data)
writer.flush(zstd.FLUSH_FRAME)
dctx = zstd.ZstdDecompressor()
buffer.seek(0)
reader = dctx.stream_reader(
buffer, read_size=source_read_size, read_across_frames=True
)
chunks = []
while True:
read_amount = read_sizes.draw(strategies.integers(-1, 16384))
chunk = reader.read(read_amount)
if not chunk and read_amount:
break
chunks.append(chunk)
self.assertEqual(source.getvalue(), b"".join(chunks))
@unittest.skipUnless("ZSTD_SLOW_TESTS" in os.environ, "ZSTD_SLOW_TESTS not set")
@make_cffi
class TestDecompressor_stream_writer_fuzzing(TestCase):
@hypothesis.settings(
suppress_health_check=[
hypothesis.HealthCheck.large_base_example,
hypothesis.HealthCheck.too_slow,
]
)
@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=8192),
input_sizes=strategies.data(),
)
def test_write_size_variance(
self, original, level, write_size, input_sizes
):
cctx = zstd.ZstdCompressor(level=level)
frame = cctx.compress(original)
dctx = zstd.ZstdDecompressor()
source = io.BytesIO(frame)
dest = NonClosingBytesIO()
with dctx.stream_writer(dest, write_size=write_size) as decompressor:
while True:
input_size = input_sizes.draw(strategies.integers(1, 4096))
chunk = source.read(input_size)
if not chunk:
break
decompressor.write(chunk)
self.assertEqual(dest.getvalue(), original)
@unittest.skipUnless("ZSTD_SLOW_TESTS" in os.environ, "ZSTD_SLOW_TESTS not set")
@make_cffi
class TestDecompressor_copy_stream_fuzzing(TestCase):
@hypothesis.settings(
suppress_health_check=[
hypothesis.HealthCheck.large_base_example,
hypothesis.HealthCheck.too_slow,
]
)
@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=8192),
write_size=strategies.integers(min_value=1, max_value=8192),
)
def test_read_write_size_variance(
self, original, level, read_size, write_size
):
cctx = zstd.ZstdCompressor(level=level)
frame = cctx.compress(original)
source = io.BytesIO(frame)
dest = io.BytesIO()
dctx = zstd.ZstdDecompressor()
dctx.copy_stream(
source, dest, read_size=read_size, write_size=write_size
)
self.assertEqual(dest.getvalue(), original)
@unittest.skipUnless("ZSTD_SLOW_TESTS" in os.environ, "ZSTD_SLOW_TESTS not set")
@make_cffi
class TestDecompressor_decompressobj_fuzzing(TestCase):
@hypothesis.settings(
suppress_health_check=[
hypothesis.HealthCheck.large_base_example,
hypothesis.HealthCheck.too_slow,
]
)
@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):
cctx = zstd.ZstdCompressor(level=level)
frame = cctx.compress(original)
source = io.BytesIO(frame)
dctx = zstd.ZstdDecompressor()
dobj = dctx.decompressobj()
chunks = []
while True:
chunk_size = chunk_sizes.draw(strategies.integers(1, 4096))
chunk = source.read(chunk_size)
if not chunk:
break
chunks.append(dobj.decompress(chunk))
self.assertEqual(b"".join(chunks), original)
@hypothesis.settings(
suppress_health_check=[
hypothesis.HealthCheck.large_base_example,
hypothesis.HealthCheck.too_slow,
]
)
@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=4 * zstd.DECOMPRESSION_RECOMMENDED_OUTPUT_SIZE,
),
chunk_sizes=strategies.data(),
)
def test_random_output_sizes(
self, original, level, write_size, chunk_sizes
):
cctx = zstd.ZstdCompressor(level=level)
frame = cctx.compress(original)
source = io.BytesIO(frame)
dctx = zstd.ZstdDecompressor()
dobj = dctx.decompressobj(write_size=write_size)
chunks = []
while True:
chunk_size = chunk_sizes.draw(strategies.integers(1, 4096))
chunk = source.read(chunk_size)
if not chunk:
break
chunks.append(dobj.decompress(chunk))
self.assertEqual(b"".join(chunks), original)
@unittest.skipUnless("ZSTD_SLOW_TESTS" in os.environ, "ZSTD_SLOW_TESTS not set")
@make_cffi
class TestDecompressor_read_to_iter_fuzzing(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
):
cctx = zstd.ZstdCompressor(level=level)
frame = cctx.compress(original)
source = io.BytesIO(frame)
dctx = zstd.ZstdDecompressor()
chunks = list(
dctx.read_to_iter(
source, read_size=read_size, write_size=write_size
)
)
self.assertEqual(b"".join(chunks), original)
@unittest.skipUnless("ZSTD_SLOW_TESTS" in os.environ, "ZSTD_SLOW_TESTS not set")
class TestDecompressor_multi_decompress_to_buffer_fuzzing(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 = {}
if use_dict:
kwargs["dict_data"] = zstd.ZstdCompressionDict(original[0])
cctx = zstd.ZstdCompressor(
level=1, write_content_size=True, write_checksum=True, **kwargs
)
if not hasattr(cctx, "multi_compress_to_buffer"):
self.skipTest("multi_compress_to_buffer not available")
frames_buffer = cctx.multi_compress_to_buffer(original, threads=-1)
dctx = zstd.ZstdDecompressor(**kwargs)
result = dctx.multi_decompress_to_buffer(frames_buffer)
self.assertEqual(len(result), len(original))
for i, frame in enumerate(result):
self.assertEqual(frame.tobytes(), original[i])
frames_list = [f.tobytes() for f in frames_buffer]
result = dctx.multi_decompress_to_buffer(frames_list)
self.assertEqual(len(result), len(original))
for i, frame in enumerate(result):
self.assertEqual(frame.tobytes(), original[i])