##// END OF EJS Templates
scmutil: move construction of instability count message to separate fn...
scmutil: move construction of instability count message to separate fn When the commad we are running, introduces new instabilities, we show a message like `5 new orphan changesets`, `2 new content-divergent changesets`, `1 new phase-divergent changesets` etc which is very nice. Now taking a step ahead, we want users to show how to fix them too. Something like: `5 new orphan changesets (run 'hg evolve' to resolve/stabilize them)` `2 new content-divergent changesets (run 'hg evolve --content-divergent' to resolve them)` and maybe telling user a way to understand more about those new instabilities like `hg evolve --list` or `hg log -r 'orphan()'` something like that. The idea came from issue5855 which I want to fix because fixing that will result in a nice UI. Taking the construction logic out will allow extensions like evolve (maybe rebase too) to wrap that and add information about how to resolve and how to understand the instability more. Differential Revision: https://phab.mercurial-scm.org/D3734

File last commit:

r37513:b1fb341d default
r38474:1cac2e8c default
Show More
test_decompressor_fuzzing.py
252 lines | 9.7 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,
random_input_data,
)
@unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set')
@make_cffi
class TestDecompressor_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_sizes=strategies.data())
def test_stream_source_read_variance(self, original, level, source_read_size,
read_sizes):
cctx = zstd.ZstdCompressor(level=level)
frame = cctx.compress(original)
dctx = zstd.ZstdDecompressor()
source = io.BytesIO(frame)
chunks = []
with dctx.stream_reader(source, read_size=source_read_size) as reader:
while True:
read_size = read_sizes.draw(strategies.integers(1, 16384))
chunk = reader.read(read_size)
if not chunk:
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),
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):
cctx = zstd.ZstdCompressor(level=level)
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, 16384))
chunk = reader.read(read_size)
if not chunk:
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),
source_read_size=strategies.integers(1, 16384),
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)
@unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set')
@make_cffi
class TestDecompressor_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=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 = io.BytesIO()
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(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=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(unittest.TestCase):
@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.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(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):
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(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 = {}
if use_dict:
kwargs['dict_data'] = zstd.ZstdCompressionDict(original[0])
cctx = zstd.ZstdCompressor(level=1,
write_content_size=True,
write_checksum=True,
**kwargs)
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])