contrib/python-zstandard/tests/test_module_attributes.py

fileset: flatten arguments list

Just prepares for flattening 'or' nodes. This change would have no impact on
performance.

from __future__ import unicode_literals

import unittest

import zstandard as zstd

from . common import (
    make_cffi,
)


@make_cffi
class TestModuleAttributes(unittest.TestCase):
    def test_version(self):
        self.assertEqual(zstd.ZSTD_VERSION, (1, 3, 4))

    def test_constants(self):
        self.assertEqual(zstd.MAX_COMPRESSION_LEVEL, 22)
        self.assertEqual(zstd.FRAME_HEADER, b'\x28\xb5\x2f\xfd')

    def test_hasattr(self):
        attrs = (
            'CONTENTSIZE_UNKNOWN',
            'CONTENTSIZE_ERROR',
            'COMPRESSION_RECOMMENDED_INPUT_SIZE',
            'COMPRESSION_RECOMMENDED_OUTPUT_SIZE',
            'DECOMPRESSION_RECOMMENDED_INPUT_SIZE',
            'DECOMPRESSION_RECOMMENDED_OUTPUT_SIZE',
            'MAGIC_NUMBER',
            'WINDOWLOG_MIN',
            'WINDOWLOG_MAX',
            'CHAINLOG_MIN',
            'CHAINLOG_MAX',
            'HASHLOG_MIN',
            'HASHLOG_MAX',
            'HASHLOG3_MAX',
            'SEARCHLOG_MIN',
            'SEARCHLOG_MAX',
            'SEARCHLENGTH_MIN',
            'SEARCHLENGTH_MAX',
            'TARGETLENGTH_MIN',
            'LDM_MINMATCH_MIN',
            'LDM_MINMATCH_MAX',
            'LDM_BUCKETSIZELOG_MAX',
            'STRATEGY_FAST',
            'STRATEGY_DFAST',
            'STRATEGY_GREEDY',
            'STRATEGY_LAZY',
            'STRATEGY_LAZY2',
            'STRATEGY_BTLAZY2',
            'STRATEGY_BTOPT',
            'STRATEGY_BTULTRA',
            'DICT_TYPE_AUTO',
            'DICT_TYPE_RAWCONTENT',
            'DICT_TYPE_FULLDICT',
        )

        for a in attrs:
            self.assertTrue(hasattr(zstd, a), a)