WARNING: Writing cache to u'/Users/home/.cache/youtube-dl/youtube-sigfuncs/js_vflM1arS5_84.json' failed: Traceback (most recent call last):

 "/usr/local/bin/youtube-dl/youtube_dl/extractor/youtube.py", line 389, in _extract_signature_function
cache_res = res(test_string)

 "/usr/local/bin/youtube-dl/youtube_dl/extractor/youtube.py", line 447, in <lambda>
return lambda s: initial_function([s])

 "/usr/local/bin/youtube-dl/youtube_dl/jsinterp.py", line 113, in resf
res = self.interpret_statement(stmt, local_vars)

 "/usr/local/bin/youtube-dl/youtube_dl/jsinterp.py", line 43, in interpret_statement
'Cannot determine left side of statement in %r' % stmt)ExtractorError: Cannot determine left side of statement in u'xh(this.j,a)'; please report this issue on https://yt-dl.org/bug . Be sure to call youtube-dl with the --verbose flag and include its complete output. Make sure you are using the latest version; type
youtube-dl -U
to update.
Traceback (most recent call last):


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\runpy.py", line 193, in _run_module_as_main

"__main__", mod_spec)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\runpy.py", line 85, in _run_code

exec(code, run_globals)


 "C:\Users\KNI9KOR\Anaconda3\envs\rasabot\Scripts\rasa.exe\__main__.py", line 7, in <module>


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\rasa\__main__.py", line 116, in main

cmdline_arguments.func(cmdline_arguments)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\rasa\cli\train.py", line 90, in train

nlu_additional_arguments=extract_nlu_additional_arguments(args),


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\rasa\train.py", line 55, in train

loop,


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\rasa\utils\common.py", line 308, in run_in_loop

result = loop.run_until_complete(f)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\asyncio\base_events.py", line 488, in run_until_complete

return future.result()


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\rasa\train.py", line 110, in train_async

nlu_additional_arguments=nlu_additional_arguments,


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\rasa\train.py", line 207, in _train_async_internal

old_model_zip_path=old_model,


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\rasa\train.py", line 246, in _do_training

additional_arguments=nlu_additional_arguments,


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\rasa\train.py", line 547, in _train_nlu_with_validated_data

**additional_arguments,


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\rasa\nlu\train.py", line 114, in train

interpreter = trainer.train(training_data, **kwargs)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\rasa\nlu\model.py", line 206, in train

updates = component.train(working_data, self.config, **context)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\rasa\nlu\classifiers\diet_classifier.py", line 760, in train

self.model = self._instantiate_model_class(model_data)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\rasa\nlu\classifiers\diet_classifier.py", line 1086, in _instantiate_model_class

config=self.component_config,


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\rasa\nlu\classifiers\diet_classifier.py", line 1104, in __init__

super().__init__("DIET", config, data_signature, label_data)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\rasa\utils\tensorflow\models.py", line 654, in __init__

checkpoint_model=config[CHECKPOINT_MODEL],


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\rasa\utils\tensorflow\models.py", line 83, in __init__

super().__init__(**kwargs)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\tensorflow\python\training\tracking\base.py", line 457, in _method_wrapper

result = method(self, *args, **kwargs)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\tensorflow\python\keras\engine\training.py", line 308, in __init__

self._init_batch_counters()


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\tensorflow\python\training\tracking\base.py", line 457, in _method_wrapper

result = method(self, *args, **kwargs)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\tensorflow\python\keras\engine\training.py", line 317, in _init_batch_counters

self._train_counter = variables.Variable(0, dtype='int64', aggregation=agg)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\tensorflow\python\ops\variables.py", line 262, in __call__

return cls._variable_v2_call(*args, **kwargs)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\tensorflow\python\ops\variables.py", line 256, in _variable_v2_call

shape=shape)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\tensorflow\python\ops\variables.py", line 237, in <lambda>

previous_getter = lambda **kws: default_variable_creator_v2(None, **kws)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 2646, in default_variable_creator_v2

shape=shape)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\tensorflow\python\ops\variables.py", line 264, in __call__

return super(VariableMetaclass, cls).__call__(*args, **kwargs)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py", line 1518, in __init__

distribute_strategy=distribute_strategy)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py", line 1666, in _init_from_args

graph_mode=self._in_graph_mode)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py", line 243, in eager_safe_variable_handle

shape, dtype, shared_name, name, graph_mode, initial_value)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py", line 175, in _variable_handle_from_shape_and_dtype

math_ops.logical_not(exists), [exists], name="EagerVariableNameReuse")


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\tensorflow\python\ops\gen_logging_ops.py", line 49, in _assert

_ops.raise_from_not_ok_status(e, name)


 "c:\users\kni9kor\anaconda3\envs\rasabot\lib\site-packages\tensorflow\python\framework\ops.py", line 6843, in raise_from_not_ok_status

six.raise_from(core._status_to_exception(e.code, message), None)


 "<string>", line 3, in raise_from
tensorflow.python.framework.errors_impl.InvalidArgumentError: assertion failed: [0] [Op:Assert] name: EagerVariableNameReuse
