def test_no_duplicates(self):
ies = gen_extractors()
for tc in get_testcases():
url = tc['url']
for ie in ies:
if type(ie).__name__ in ['GenericIE', tc['name'] + 'IE']:
self.assertTrue(ie.suitable(url), '%s should match URL %r' % (type(ie).__name__, url))
else:
self.assertFalse(ie.suitable(url), '%s should not match URL %r' % (type(ie).__name__, url))
self.to_stderr = self.to_screen
self.processed_info_dicts = []
super(YoutubeDL, self).__init__(*args, **kwargs)
def report_warning(self, message):
# Don't accept warnings during tests
raise ExtractorError(message)
def process_info(self, info_dict):
self.processed_info_dicts.append(info_dict)
return super(YoutubeDL, self).process_info(info_dict)
def _file_md5(fn):
with open(fn, 'rb') as f:
return hashlib.md5(f.read()).hexdigest()
from helper import get_testcases
defs = get_testcases()
with io.open(PARAMETERS_FILE, encoding='utf-8') as pf:
parameters = json.load(pf)
class TestDownload(unittest.TestCase):
maxDiff = None
def setUp(self):
self.parameters = parameters
self.defs = defs
### Dynamically generate tests
def generator(test_case):
def test_template(self):
