Traceback (most recent call last):


 "c:\python38\lib\runpy.py", line 194, in _run_module_as_main

return _run_code(code, main_globals, None,


 "c:\python38\lib\runpy.py", line 87, in _run_code

exec(code, run_globals)


 "c:\Python38\Scripts\prospector.exe\__main__.py", line 7, in <module>


 "c:\python38\lib\site-packages\prospector\run.py", line 167, in main

prospector.execute()


 "c:\python38\lib\site-packages\prospector\run.py", line 54, in execute

for tool in self.config.get_tools(found_files):


 "c:\python38\lib\site-packages\prospector\config\__init__.py", line 42, in get_tools

config_result = tool.configure(self, found_files)


 "c:\python38\lib\site-packages\prospector\tools\pylint\__init__.py", line 122, in configure

linter = ProspectorLinter(found_files)


 "c:\python38\lib\site-packages\prospector\tools\pylint\linter.py", line 13, in __init__

PyLinter.__init__(self, *args, **kwargs)


 "c:\python38\lib\site-packages\pylint\lint\pylinter.py", line 458, in __init__

super().__init__(
TypeError: __init__() got an unexpected keyword argument 'version'

Traceback (most recent call last):


 "/usr/lib/python3.6/threading.py", line 916, in _bootstrap_inner

self.run()


 "/usr/lib/python3.6/threading.py", line 864, in run

self._target(*self._args, **self._kwargs)


 "/usr/local/lib/python3.6/dist-packages/torch_xla/distributed/parallel_loader.py", line 141, in _loader_worker

_, data = next(data_iter)


 "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 354, in __next__

data = self._next_data()


 "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 394, in _next_data

data = self._dataset_fetcher.fetch(index)
# may raise StopIteration


 "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/fetch.py", line 47, in fetch

return self.collate_fn(data)


 "<ipython-input-6-cc30f67d4a07>", line 34, in collate_batch

input_ids = torch.stack([example['input_ids'] for example in batch])


 "<ipython-input-6-cc30f67d4a07>", line 34, in <listcomp>

input_ids = torch.stack([example['input_ids'] for example in batch])
TypeError: string indices must be integers
