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cext: make revlog.c PY_SSIZE_T_CLEAN Without this, Python 3.8 emits a deprecation warning, as using int for # values is deprecated. Many existing modules use PY_SSIZE_T_CLEAN, so this shouldn't be contentious. I audited the file for all # formatters and verified we are using Py_ssize_t everywhere now. Differential Revision: https://phab.mercurial-scm.org/D6196

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test_data_structures_fuzzing.py
75 lines | 3.5 KiB | text/x-python | PythonLexer
/ contrib / python-zstandard / tests / test_data_structures_fuzzing.py
import io
import os
import sys
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,
)
s_windowlog = strategies.integers(min_value=zstd.WINDOWLOG_MIN,
max_value=zstd.WINDOWLOG_MAX)
s_chainlog = strategies.integers(min_value=zstd.CHAINLOG_MIN,
max_value=zstd.CHAINLOG_MAX)
s_hashlog = strategies.integers(min_value=zstd.HASHLOG_MIN,
max_value=zstd.HASHLOG_MAX)
s_searchlog = strategies.integers(min_value=zstd.SEARCHLOG_MIN,
max_value=zstd.SEARCHLOG_MAX)
s_searchlength = strategies.integers(min_value=zstd.SEARCHLENGTH_MIN,
max_value=zstd.SEARCHLENGTH_MAX)
s_targetlength = strategies.integers(min_value=zstd.TARGETLENGTH_MIN,
max_value=zstd.TARGETLENGTH_MAX)
s_strategy = strategies.sampled_from((zstd.STRATEGY_FAST,
zstd.STRATEGY_DFAST,
zstd.STRATEGY_GREEDY,
zstd.STRATEGY_LAZY,
zstd.STRATEGY_LAZY2,
zstd.STRATEGY_BTLAZY2,
zstd.STRATEGY_BTOPT,
zstd.STRATEGY_BTULTRA))
@make_cffi
@unittest.skipUnless('ZSTD_SLOW_TESTS' in os.environ, 'ZSTD_SLOW_TESTS not set')
class TestCompressionParametersHypothesis(unittest.TestCase):
@hypothesis.given(s_windowlog, s_chainlog, s_hashlog, s_searchlog,
s_searchlength, s_targetlength, s_strategy)
def test_valid_init(self, windowlog, chainlog, hashlog, searchlog,
searchlength, targetlength, strategy):
zstd.ZstdCompressionParameters(window_log=windowlog,
chain_log=chainlog,
hash_log=hashlog,
search_log=searchlog,
min_match=searchlength,
target_length=targetlength,
compression_strategy=strategy)
@hypothesis.given(s_windowlog, s_chainlog, s_hashlog, s_searchlog,
s_searchlength, s_targetlength, s_strategy)
def test_estimated_compression_context_size(self, windowlog, chainlog,
hashlog, searchlog,
searchlength, targetlength,
strategy):
if searchlength == zstd.SEARCHLENGTH_MIN and strategy in (zstd.STRATEGY_FAST, zstd.STRATEGY_GREEDY):
searchlength += 1
elif searchlength == zstd.SEARCHLENGTH_MAX and strategy != zstd.STRATEGY_FAST:
searchlength -= 1
p = zstd.ZstdCompressionParameters(window_log=windowlog,
chain_log=chainlog,
hash_log=hashlog,
search_log=searchlog,
min_match=searchlength,
target_length=targetlength,
compression_strategy=strategy)
size = p.estimated_compression_context_size()