##// END OF EJS Templates
annotate: restructure formatter output to be nested list (BC)...
annotate: restructure formatter output to be nested list (BC) Annotate data should be in [(file, [line...])...] form, but there was no API to represent such data structure when I ported it to formatter. Now we have fm.nested() and the -T option is still experimental, so we can fix the data format.

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test_train_dictionary.py
110 lines | 2.9 KiB | text/x-python | PythonLexer
import sys
try:
import unittest2 as unittest
except ImportError:
import unittest
import zstd
from . common import (
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_basic(self):
samples = []
for i in range(128):
samples.append(b'foo' * 64)
samples.append(b'bar' * 64)
samples.append(b'foobar' * 64)
samples.append(b'baz' * 64)
samples.append(b'foobaz' * 64)
samples.append(b'bazfoo' * 64)
d = zstd.train_dictionary(8192, samples)
self.assertLessEqual(len(d), 8192)
dict_id = d.dict_id()
self.assertIsInstance(dict_id, int_type)
data = d.as_bytes()
self.assertEqual(data[0:4], b'\x37\xa4\x30\xec')
def test_set_dict_id(self):
samples = []
for i in range(128):
samples.append(b'foo' * 64)
samples.append(b'foobar' * 64)
d = zstd.train_dictionary(8192, samples, dict_id=42)
self.assertEqual(d.dict_id(), 42)
@make_cffi
class TestTrainCoverDictionary(unittest.TestCase):
def test_no_args(self):
with self.assertRaises(TypeError):
zstd.train_cover_dictionary()
def test_bad_args(self):
with self.assertRaises(TypeError):
zstd.train_cover_dictionary(8192, u'foo')
with self.assertRaises(ValueError):
zstd.train_cover_dictionary(8192, [u'foo'])
def test_basic(self):
samples = []
for i in range(128):
samples.append(b'foo' * 64)
samples.append(b'foobar' * 64)
d = zstd.train_cover_dictionary(8192, 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):
samples = []
for i in range(128):
samples.append(b'foo' * 64)
samples.append(b'foobar' * 64)
d = zstd.train_cover_dictionary(8192, samples, k=64, d=16,
dict_id=42)
self.assertEqual(d.dict_id(), 42)
def test_optimize(self):
samples = []
for i in range(128):
samples.append(b'foo' * 64)
samples.append(b'foobar' * 64)
d = zstd.train_cover_dictionary(8192, samples, optimize=True,
threads=-1, steps=1, d=16)
self.assertEqual(d.k, 16)
self.assertEqual(d.d, 16)