Traceback (most recent call last):


 "/usr/lib/python2.7/runpy.py", line 162, in _run_module_as_main

"__main__", fname, loader, pkg_name)


 "/usr/lib/python2.7/runpy.py", line 72, in _run_code

exec code in run_globals


 "/home/treaki/bin/youtube-dl/__main__.py", line 19, in <module>


 "/home/treaki/bin/youtube-dl/youtube_dl/__init__.py", line 452, in main


 "/home/treaki/bin/youtube-dl/youtube_dl/__init__.py", line 442, in _real_main


 "/home/treaki/bin/youtube-dl/youtube_dl/YoutubeDL.py", line 1796, in download


 "/home/treaki/bin/youtube-dl/youtube_dl/YoutubeDL.py", line 696, in extract_info


 "/home/treaki/bin/youtube-dl/youtube_dl/extractor/common.py", line 369, in extract


 "/home/treaki/bin/youtube-dl/youtube_dl/extractor/openload.py", line 85, in _real_extract
ValueError: unichr() arg not in range(0x110000) (wide Python build)

Traceback (most recent call last):


 "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main

"__main__", mod_spec)


 "/usr/lib/python3.6/runpy.py", line 85, in _run_code

exec(code, run_globals)


 "/home/abhi/.local/lib/python3.6/site-packages/rasa_nlu/run.py", line 52, in <module>

run_cmdline(cmdline_args.model)


 "/home/abhi/.local/lib/python3.6/site-packages/rasa_nlu/run.py", line 42, in run_cmdline

r = interpreter.parse(text)


 "/home/abhi/.local/lib/python3.6/site-packages/rasa_nlu/model.py", line 357, in parse

component.process(message, **self.context)


 "/home/abhi/.local/lib/python3.6/site-packages/rasa_nlu/classifiers/sklearn_intent_classifier.py", line 172, in process

intents = self.transform_labels_num2str(intent_ids)


 "/home/abhi/.local/lib/python3.6/site-packages/rasa_nlu/classifiers/sklearn_intent_classifier.py", line 108, in transform_labels_num2str

return self.le.inverse_transform(y)


 "/home/abhi/.local/lib/python3.6/site-packages/sklearn/preprocessing/label.py", line 273, in inverse_transform

y = column_or_1d(y, warn=True)


 "/home/abhi/.local/lib/python3.6/site-packages/sklearn/utils/validation.py", line 760, in column_or_1d

raise ValueError("bad input shape {0}".format(shape))
ValueError: bad input shape (1, 89)
