Mercurial > hg
view contrib/python-zstandard/tests/test_train_dictionary.py @ 51688:25e7f9dcad0f
zeroconf: fix boolean return value
This was (wrongly) flagged by Pytype as being undefined since it doesn't
seem to understand `try` blocks. However, the caller is expecting a boolean
and the fix to appease Pytype is simple, so we do both.
author | Raphaël Gomès <rgomes@octobus.net> |
---|---|
date | Thu, 18 Jul 2024 12:02:01 +0200 |
parents | 5e84a96d865b |
children |
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import struct import sys import unittest import zstandard as zstd from .common import ( generate_samples, make_cffi, random_input_data, TestCase, ) if sys.version_info[0] >= 3: int_type = int else: int_type = long @make_cffi class TestTrainDictionary(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, random_input_data()) 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 ) # This varies by platform. self.assertIn(d.k, (50, 2000)) self.assertEqual(d.d, 16) @make_cffi class TestCompressionDict(TestCase): def test_bad_mode(self): with self.assertRaisesRegex(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.assertRaisesRegex( ValueError, "must specify one of level or " ): d.precompute_compress() with self.assertRaisesRegex( 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.assertRaisesRegex( zstd.ZstdError, "unable to precompute dictionary" ): d.precompute_compress(level=1)