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precheck: fix false warning about content-divergence creation...
precheck: fix false warning about content-divergence creation Before this patch, if we try to `hg prune` (without any successors) an already obsoleted cset which has at least one successor, it would false warn about new content-divergence. As we know, pruning cset without any successors can not create any divergence. Differential Revision: https://phab.mercurial-scm.org/D12002

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test_data_structures_fuzzing.py
121 lines | 2.9 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,
TestCase,
)
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_minmatch = strategies.integers(
min_value=zstd.MINMATCH_MIN, max_value=zstd.MINMATCH_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,
zstd.STRATEGY_BTULTRA2,
)
)
@make_cffi
@unittest.skipUnless("ZSTD_SLOW_TESTS" in os.environ, "ZSTD_SLOW_TESTS not set")
class TestCompressionParametersHypothesis(TestCase):
@hypothesis.given(
s_windowlog,
s_chainlog,
s_hashlog,
s_searchlog,
s_minmatch,
s_targetlength,
s_strategy,
)
def test_valid_init(
self,
windowlog,
chainlog,
hashlog,
searchlog,
minmatch,
targetlength,
strategy,
):
zstd.ZstdCompressionParameters(
window_log=windowlog,
chain_log=chainlog,
hash_log=hashlog,
search_log=searchlog,
min_match=minmatch,
target_length=targetlength,
strategy=strategy,
)
@hypothesis.given(
s_windowlog,
s_chainlog,
s_hashlog,
s_searchlog,
s_minmatch,
s_targetlength,
s_strategy,
)
def test_estimated_compression_context_size(
self,
windowlog,
chainlog,
hashlog,
searchlog,
minmatch,
targetlength,
strategy,
):
if minmatch == zstd.MINMATCH_MIN and strategy in (
zstd.STRATEGY_FAST,
zstd.STRATEGY_GREEDY,
):
minmatch += 1
elif minmatch == zstd.MINMATCH_MAX and strategy != zstd.STRATEGY_FAST:
minmatch -= 1
p = zstd.ZstdCompressionParameters(
window_log=windowlog,
chain_log=chainlog,
hash_log=hashlog,
search_log=searchlog,
min_match=minmatch,
target_length=targetlength,
strategy=strategy,
)
size = p.estimated_compression_context_size()