






import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
_a      	=  '''.'''


if __name__ == "__main__":
		_a      	=  os.path.join(REPO_PATH, '''utils/documentation_tests.txt''')
		_a      	=  []
		_a      	=  []
		with open(doctest_file_path) as fp:
				for line in fp:
						_a      	=  line.strip()
						_a      	=  os.path.join(REPO_PATH, line)
						if not (os.path.isfile(path) or os.path.isdir(path)):
								non_existent_paths.append(line)
						all_paths.append(path)
		if len(non_existent_paths) > 0:
				_a      	=  '''\n'''.join(non_existent_paths)
				raise ValueError(F'''`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}''')
		if all_paths != sorted(all_paths):
				raise ValueError('''Files in `utils/documentation_tests.txt` are not in alphabetical order.''')








"""simple docstring"""





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


_SCREAMING_SNAKE_CASE					:				Optional[int]					    =						'''
Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.

In March 2021, Hugging Face raised $40 million in a Series B funding round.[3]

On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]
'''






class      a						(					unittest.TestCase  ,      __snake_case		):






    def    UpperCamelCase       (       self     :							int					)     ->		Optional[int]:
      lowerCamelCase_         =						load_tool('text-question-answering'					)
      self.tool.setup()
      lowerCamelCase_         =						load_tool('text-question-answering'       ,						remote=__SCREAMING_SNAKE_CASE					)






    def    UpperCamelCase       (       self     :							Dict					)     ->		Tuple:
      lowerCamelCase_         =						self.tool(__SCREAMING_SNAKE_CASE       ,						'What did Hugging Face do in April 2021?'					)
      self.assertEqual(__SCREAMING_SNAKE_CASE       ,						'launched the BigScience Research Workshop'					)






    def    UpperCamelCase       (       self     :							List[Any]					)     ->		Optional[int]:
      lowerCamelCase_         =						self.remote_tool(__SCREAMING_SNAKE_CASE       ,						'What did Hugging Face do in April 2021?'					)
      self.assertEqual(__SCREAMING_SNAKE_CASE       ,						'launched the BigScience Research Workshop'					)






    def    UpperCamelCase       (       self     :							List[str]					)     ->		Optional[int]:
      lowerCamelCase_         =						self.tool(text=__SCREAMING_SNAKE_CASE       ,						question='What did Hugging Face do in April 2021?'					)
      self.assertEqual(__SCREAMING_SNAKE_CASE       ,						'launched the BigScience Research Workshop'					)






    def    UpperCamelCase       (       self     :							Union[str, Any]					)     ->		int:
      lowerCamelCase_         =						self.remote_tool(text=__SCREAMING_SNAKE_CASE       ,						question='What did Hugging Face do in April 2021?'					)
      self.assertEqual(__SCREAMING_SNAKE_CASE       ,						'launched the BigScience Research Workshop'					)




