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config: document the purpose of the `format` config section...
config: document the purpose of the `format` config section The config section now have a top level documentation to clarify its intend and usage. In particular, user are now explain when the option are taken in account and how to convert repository. There are an handful of experimental options in this section that does not match its definition. They should be relocated to other section before getting out of experimental. (see next changeset for one example).

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test_train_dictionary.py
87 lines | 2.8 KiB | text/x-python | PythonLexer
import struct
import sys
import unittest
import zstandard as zstd
from . common import (
generate_samples,
make_cffi,
)
if sys.version_info[0] >= 3:
int_type = int
else:
int_type = long
@make_cffi
class TestTrainDictionary(unittest.TestCase):
def test_no_args(self):
with self.assertRaises(TypeError):
zstd.train_dictionary()
def test_bad_args(self):
with self.assertRaises(TypeError):
zstd.train_dictionary(8192, u'foo')
with self.assertRaises(ValueError):
zstd.train_dictionary(8192, [u'foo'])
def test_no_params(self):
d = zstd.train_dictionary(8192, generate_samples())
self.assertIsInstance(d.dict_id(), int_type)
# The dictionary ID may be different across platforms.
expected = b'\x37\xa4\x30\xec' + struct.pack('<I', d.dict_id())
data = d.as_bytes()
self.assertEqual(data[0:8], expected)
def test_basic(self):
d = zstd.train_dictionary(8192, generate_samples(), k=64, d=16)
self.assertIsInstance(d.dict_id(), int_type)
data = d.as_bytes()
self.assertEqual(data[0:4], b'\x37\xa4\x30\xec')
self.assertEqual(d.k, 64)
self.assertEqual(d.d, 16)
def test_set_dict_id(self):
d = zstd.train_dictionary(8192, generate_samples(), k=64, d=16,
dict_id=42)
self.assertEqual(d.dict_id(), 42)
def test_optimize(self):
d = zstd.train_dictionary(8192, generate_samples(), threads=-1, steps=1,
d=16)
self.assertEqual(d.k, 50)
self.assertEqual(d.d, 16)
@make_cffi
class TestCompressionDict(unittest.TestCase):
def test_bad_mode(self):
with self.assertRaisesRegexp(ValueError, 'invalid dictionary load mode'):
zstd.ZstdCompressionDict(b'foo', dict_type=42)
def test_bad_precompute_compress(self):
d = zstd.train_dictionary(8192, generate_samples(), k=64, d=16)
with self.assertRaisesRegexp(ValueError, 'must specify one of level or '):
d.precompute_compress()
with self.assertRaisesRegexp(ValueError, 'must only specify one of level or '):
d.precompute_compress(level=3,
compression_params=zstd.CompressionParameters())
def test_precompute_compress_rawcontent(self):
d = zstd.ZstdCompressionDict(b'dictcontent' * 64,
dict_type=zstd.DICT_TYPE_RAWCONTENT)
d.precompute_compress(level=1)
d = zstd.ZstdCompressionDict(b'dictcontent' * 64,
dict_type=zstd.DICT_TYPE_FULLDICT)
with self.assertRaisesRegexp(zstd.ZstdError, 'unable to precompute dictionary'):
d.precompute_compress(level=1)