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rust-nodemap: automatically use the rust index for persistent nodemap...
rust-nodemap: automatically use the rust index for persistent nodemap The persistent nodemap requires the rust index to be used to provides any gains. So we automatically enable it for revlog using the persistent nodemap. We keep it off for other revset because now that the rust revlog fully initialise the nodemap using it everywhere introduce a fairly significant regression (eg: hg diff moving from 0.8s to 2.3s on mozilla-try) Differential Revision: https://phab.mercurial-scm.org/D8164

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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()