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fileset: rewrite andset() to not use mctx.narrow()...
fileset: rewrite andset() to not use mctx.narrow() New code is less efficient than the original, but it helps porting andset() to matcher composition. This will be cleaned up later. This effectively disables the fullmatchctx magic since mctx will never be demoted to the matchctx. The fullmatchctx class will be removed later.

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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=2**32)
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()