def test_pycodestyle(self):
# NOTE(jecarey): Add tests marked as off_by_default to enable testing
turn_on = set(['H106'])
if self.options.select:
turn_on.update(self.options.select)
self.options.select = tuple(turn_on)
self.options.ignore = ('N530', )
report = pycodestyle.BaseReport(self.options)
checker = pycodestyle.Checker(filename=self.filename,
lines=self.lines,
options=self.options,
report=report)
checker.check_all()
self.addDetail('doctest', content.text_content(self.raw))
if self.code == 'Okay':
self.assertThat(
len(report.counters),
matchers.Not(
matchers.GreaterThan(len(self.options.benchmark_keys))),
"incorrectly found %s" % ', '.join([
key for key in report.counters
if key not in self.options.benchmark_keys
]))
else:
self.addDetail(
'reason',
content.text_content("Failed to trigger rule %s" % self.code))
self.assertIn(self.code, report.counters)
def test_local_check(self):
flake8_style = engine.get_style_guide(parse_argv=False, ignore='F')
report = pycodestyle.BaseReport(flake8_style.options)
line = ["#this-is-the-test-phrase"]
checker = pycodestyle.Checker(lines=line, options=flake8_style.options,
report=report)
checker.check_all()
self.assertIn("L100", report.counters)
def do_test(self):
# print "PATH:", filepath
# arglist = ['--exclude=lib,migrations', filepath]
pep8styleguide = pycodestyle.StyleGuide(
exclude=['lib', 'migrations'],
filename=['*.py'],
filepath=filepath,
show_pep8=False,
show_source=False,
)
pep8styleguide.input_dir(filepath)
basereport = pycodestyle.BaseReport(benchmark_keys={})
output = basereport.get_statistics(prefix='')
# print "PEP8 OUTPUT: " + str(output)
self.assertEqual(len(output), 0)
import bs4
import pycodestyle
assert bs4.__version__ == "4.9.1", "beautifulsoup version incorrect."
assert pycodestyle.__version__ == "2.6.0", "pycodestyle version incorrect."
# Check the coding style without any output
report = pycodestyle.BaseReport(options=pycodestyle.StyleGuide().options)
pycodestyle.Checker(filename=bs4.__file__, report=report).check_all()
statistics = sorted(report.get_statistics())
print("".join(statistics[row][column] for row, column in [
(2, 39),
(3, 13),
(4, 22),
(5, 36),
(6, 39),
(7, 17),
(6, 21),
(7, 35),
(8, 14),
(9, 22),
(10, 20),
]))
