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bundle2: equate 'UN' with no compression...
bundle2: equate 'UN' with no compression An upcoming patch will change the "alg" argument passed to this function from None to "UN" when no compression is wanted. The existing implementation of bundle2 does not set a "Compression" parameter if no compression is used. In theory, setting "Compression=UN" should work. But I haven't audited the code to see if all client versions supporting bundle2 will accept this. Rather than take the risk, avoid the BC breakage and treat "UN" the same as None.

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test_data_structures.py
107 lines | 5.1 KiB | text/x-python | PythonLexer
import io
try:
import unittest2 as unittest
except ImportError:
import unittest
try:
import hypothesis
import hypothesis.strategies as strategies
except ImportError:
hypothesis = None
import zstd
class TestCompressionParameters(unittest.TestCase):
def test_init_bad_arg_type(self):
with self.assertRaises(TypeError):
zstd.CompressionParameters()
with self.assertRaises(TypeError):
zstd.CompressionParameters(0, 1)
def test_bounds(self):
zstd.CompressionParameters(zstd.WINDOWLOG_MIN,
zstd.CHAINLOG_MIN,
zstd.HASHLOG_MIN,
zstd.SEARCHLOG_MIN,
zstd.SEARCHLENGTH_MIN,
zstd.TARGETLENGTH_MIN,
zstd.STRATEGY_FAST)
zstd.CompressionParameters(zstd.WINDOWLOG_MAX,
zstd.CHAINLOG_MAX,
zstd.HASHLOG_MAX,
zstd.SEARCHLOG_MAX,
zstd.SEARCHLENGTH_MAX,
zstd.TARGETLENGTH_MAX,
zstd.STRATEGY_BTOPT)
def test_get_compression_parameters(self):
p = zstd.get_compression_parameters(1)
self.assertIsInstance(p, zstd.CompressionParameters)
self.assertEqual(p[0], 19)
if hypothesis:
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))
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):
p = zstd.CompressionParameters(windowlog, chainlog, hashlog,
searchlog, searchlength,
targetlength, strategy)
self.assertEqual(tuple(p),
(windowlog, chainlog, hashlog, searchlog,
searchlength, targetlength, strategy))
# Verify we can instantiate a compressor with the supplied values.
# ZSTD_checkCParams moves the goal posts on us from what's advertised
# in the constants. So move along with them.
if searchlength == zstd.SEARCHLENGTH_MIN and strategy in (zstd.STRATEGY_FAST, zstd.STRATEGY_GREEDY):
searchlength += 1
p = zstd.CompressionParameters(windowlog, chainlog, hashlog,
searchlog, searchlength,
targetlength, strategy)
elif searchlength == zstd.SEARCHLENGTH_MAX and strategy != zstd.STRATEGY_FAST:
searchlength -= 1
p = zstd.CompressionParameters(windowlog, chainlog, hashlog,
searchlog, searchlength,
targetlength, strategy)
cctx = zstd.ZstdCompressor(compression_params=p)
with cctx.write_to(io.BytesIO()):
pass
@hypothesis.given(s_windowlog, s_chainlog, s_hashlog, s_searchlog,
s_searchlength, s_targetlength, s_strategy)
def test_estimate_compression_context_size(self, windowlog, chainlog,
hashlog, searchlog,
searchlength, targetlength,
strategy):
p = zstd.CompressionParameters(windowlog, chainlog, hashlog,
searchlog, searchlength,
targetlength, strategy)
size = zstd.estimate_compression_context_size(p)