
import contextlib
import importlib
import io
import unittest

import transformers

# Try to import everything from transformers to ensure every object can be loaded.
from transformers import *  # noqa F406
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, require_tf, require_torch
from transformers.utils import ContextManagers, find_labels, is_flax_available, is_tf_available, is_torch_available


if is_torch_available():
							from transformers import BertForPreTraining, BertForQuestionAnswering, BertForSequenceClassification

if is_tf_available():
							from transformers import TFBertForPreTraining, TFBertForQuestionAnswering, TFBertForSequenceClassification

if is_flax_available():
							from transformers import FlaxBertForPreTraining, FlaxBertForQuestionAnswering, FlaxBertForSequenceClassification


lowerCamelCase_  :	Tuple 				=					DUMMY_UNKNOWN_IDENTIFIER
# An actual model hosted on huggingface.co

lowerCamelCase_  :	Optional[Any] 				=					"""main"""
# Default branch name
lowerCamelCase_  :	Dict 				=					"""f2c752cfc5c0ab6f4bdec59acea69eefbee381c2"""
# One particular commit (not the top of `main`)
lowerCamelCase_  :	Any 				=					"""aaaaaaa"""
# This commit does not exist, so we should 404.

lowerCamelCase_  :	List[Any] 				=					"""d9e9f15bc825e4b2c9249e9578f884bbcb5e3684"""
# Sha-1 of config.json on the top of `main`, for checking purposes
lowerCamelCase_  :	Any 				=					"""4b243c475af8d0a7754e87d7d096c92e5199ec2fe168a2ee7998e3b8e9bcb1d3"""







@contextlib.contextmanager
def     A__   (  )					->		Optional[int]:
				print("""Welcome!"""  )
				yield
				print("""Bye!"""  )







@contextlib.contextmanager
def     A__   (  )					->		Dict:
				print("""Bonjour!"""  )
				yield
				print("""Au revoir!"""  )

class     _UpperCamelCase			(   unittest.TestCase					):






			'''simple docstring'''

			def  lowerCAmelCase__		(    self	:    Union[str, Any] ):
							# If the spec is missing, importlib would not be able to import the module dynamically.
							assert transformers.__spec__ is not None
							assert importlib.util.find_spec("""transformers""" ) is not None




class     _UpperCamelCase			(   unittest.TestCase					):






			'''simple docstring'''

			@unittest.mock.patch("""sys.stdout"""  ,		new_callable=io.StringIO )
			def  lowerCAmelCase__		(    self	:    Optional[Any]  ,		snake_case_	:    Optional[Any] ):
							with ContextManagers([] ):
											print("""Transformers are awesome!""" )
							# The print statement adds a new line at the end of the output
							self.assertEqual(mock_stdout.getvalue()  ,		"""Transformers are awesome!\n""" )

			@unittest.mock.patch("""sys.stdout"""  ,		new_callable=io.StringIO )
			def  lowerCAmelCase__		(    self	:    Any  ,		snake_case_	:    Tuple ):
							with ContextManagers([context_en()] ):
											print("""Transformers are awesome!""" )
							# The output should be wrapped with an English welcome and goodbye
							self.assertEqual(mock_stdout.getvalue()  ,		"""Welcome!\nTransformers are awesome!\nBye!\n""" )

			@unittest.mock.patch("""sys.stdout"""  ,		new_callable=io.StringIO )
			def  lowerCAmelCase__		(    self	:    Optional[int]  ,		snake_case_	:    Optional[int] ):
							with ContextManagers([context_fr(), context_en()] ):
											print("""Transformers are awesome!""" )
							# The output should be wrapped with an English and French welcome and goodbye
							self.assertEqual(mock_stdout.getvalue()  ,		"""Bonjour!\nWelcome!\nTransformers are awesome!\nBye!\nAu revoir!\n""" )

			@require_torch
			def  lowerCAmelCase__		(    self	:    int ):
							self.assertEqual(find_labels(snake_case_ )  ,		["""labels"""] )
							self.assertEqual(find_labels(snake_case_ )  ,		["""labels""", """next_sentence_label"""] )
							self.assertEqual(find_labels(snake_case_ )  ,		["""start_positions""", """end_positions"""] )

							class     _UpperCamelCase			(   _A					):






										'''simple docstring'''

										pass




							self.assertEqual(find_labels(snake_case_ )  ,		["""labels"""] )

			@require_tf
			def  lowerCAmelCase__		(    self	:    str ):
							self.assertEqual(find_labels(snake_case_ )  ,		["""labels"""] )
							self.assertEqual(find_labels(snake_case_ )  ,		["""labels""", """next_sentence_label"""] )
							self.assertEqual(find_labels(snake_case_ )  ,		["""start_positions""", """end_positions"""] )

							class     _UpperCamelCase			(   _A					):






										'''simple docstring'''

										pass




							self.assertEqual(find_labels(snake_case_ )  ,		["""labels"""] )




			@require_flax
			def  lowerCAmelCase__		(    self	:    Optional[int] ):
							# Flax models don't have labels
							self.assertEqual(find_labels(snake_case_ )  ,		[] )
							self.assertEqual(find_labels(snake_case_ )  ,		[] )
							self.assertEqual(find_labels(snake_case_ )  ,		[] )

							class     _UpperCamelCase			(   _A					):






										'''simple docstring'''

										pass




							self.assertEqual(find_labels(snake_case_ )  ,		[] )








def     A__   (  lowerCamelCase       ,      lowerCamelCase  )					->		list:
				UpperCamelCase_:							Optional[int]		=  word.split()

				def justify(lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase  ) -> str:
								UpperCamelCase_:							Tuple		=  max_width - width
								UpperCamelCase_:							Optional[Any]		=  len(lowerCamelCase  )
								if len(lowerCamelCase  ) == 1:
												# if there is only word in line
												# just insert overall_spaces_count for the remainder of line
												return line[0] + " " * overall_spaces_count
								else:
												UpperCamelCase_:							List[Any]		=  words_count - 1
												# num_spaces_between_words_list[i] : tells you to insert
												# num_spaces_between_words_list[i] spaces
												# after word on line[i]
												UpperCamelCase_:							Optional[Any]		=  spaces_to_insert_between_words * [
												    overall_spaces_count // spaces_to_insert_between_words
												]
												UpperCamelCase_:							List[str]		=  (
												    overall_spaces_count % spaces_to_insert_between_words
												)
												# distribute spaces via round robin to the left words
												for i in range(lowerCamelCase  ):
																num_spaces_between_words_list[i] += 1
												UpperCamelCase_:							Dict		=  []
												for i in range(lowerCamelCase  ):
																# add the word
																aligned_words_list.append(line[i]  )
																# add the spaces to insert
																aligned_words_list.append(num_spaces_between_words_list[i] * """ """  )
												# just add the last word to the sentence
												aligned_words_list.append(line[-1]  )
												# join the aligned words list to form a justified line
												return "".join(lowerCamelCase  )

				UpperCamelCase_:							Optional[int]		=  []
				UpperCamelCase_:							list[str]		=  []
				UpperCamelCase_:							List[str]		=  0
				for word in words:
								if width + len(lowerCamelCase  ) + len(lowerCamelCase  ) <= max_width:
												# keep adding words until we can fill out max_width
												# width = sum of length of all words (without overall_spaces_count)
												# len(word) = length of current word
												# len(line) = number of overall_spaces_count to insert between words
												line.append(lowerCamelCase  )
												width += len(lowerCamelCase  )
								else:
												# justify the line and add it to result
												answer.append(justify(lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase  )  )
												# reset new line and new width
												UpperCamelCase_,				UpperCamelCase_:							List[str]		=  [word], len(lowerCamelCase  )
				UpperCamelCase_:							List[str]		=  max_width - width - len(lowerCamelCase  )
				answer.append(""" """.join(lowerCamelCase  ) + (remaining_spaces + 1) * """ """  )
				return answer


if __name__ == "__main__":
							from doctest import testmod

							testmod()






