def test_detect_images_auto(self):
d = TestDetector()
res = d.detect_images_auto()
vc = read_vc()
vc_l = len(vc.index)
print(res)
self.assertEqual(vc_l, len(res.index))
def get_paths_cached(usr=1, root=root):
cache_path = "{root}/tmp/paths_dict_{usr}.pkl".format(root=root,
usr=str(usr))
is_in_cache = Path(cache_path).exists()
if is_in_cache:
with open(cache_path, 'rb') as f:
paths = pickle.load(f)
else:
vc = read_vc(usr)
paths = __get_paths_csv__(vc, usr, root)
with open(cache_path, 'wb') as f:
pickle.dump(paths, f)
return paths
def get_paths(usr=1, root=root):
vc = read_vc(usr)
paths = __get_paths_csv__(vc, usr, root)
return paths
def transform_core(self, _):
vc = read_vc(usr=self.usr)
return vc
def test_get_paths(self):
paths = get_paths()
vc = read_vc()
vc_l = len(vc.index)
print(paths)
self.assertEqual(vc_l, len(paths))
def vc(self) -> pd.DataFrame:
try:
return self.__vc__
except:
self.__vc__ = read_vc(usr=self.usr)
return self.__vc__
def test_read_vc_u2_versNone(self):
vc = read_vc(usr=usr2, vers=None)
self.assertEqual(vc_cols_c, len(vc.columns))
def test_read_vc_default(self):
vc = read_vc()
self.assertEqual(vc_cols_c, len(vc.columns))