



'''simple docstring'''



def        UpperCAmelCase (    A	:					Union[str, Any]       ,		A	:					int					):
							SCREAMING_SNAKE_CASE       :   Optional[Any]         =      word.split()

							def justify(A	:					Any       ,		A	:					List[str]       ,		A	:					List[Any]					) -> str:
														SCREAMING_SNAKE_CASE       :   Any         =      max_width - width
														SCREAMING_SNAKE_CASE       :   Tuple         =      len(A					)
														if len(A					) == 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:
																					SCREAMING_SNAKE_CASE       :   Optional[int]         =      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]
																					SCREAMING_SNAKE_CASE       :   List[Any]         =      spaces_to_insert_between_words * [
																					    overall_spaces_count // spaces_to_insert_between_words
																					]
																					SCREAMING_SNAKE_CASE       :   int         =      (
																					    overall_spaces_count % spaces_to_insert_between_words
																					)
																					# distribute spaces via round robin to the left words
																					for i in range(A					):
																												num_spaces_between_words_list[i] += 1
																					SCREAMING_SNAKE_CASE       :   Any         =      []
																					for i in range(A					):
																												# 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(A					)

							SCREAMING_SNAKE_CASE       :   List[str]         =      []
							SCREAMING_SNAKE_CASE       :   list[str]         =      []
							SCREAMING_SNAKE_CASE       :   Optional[Any]         =      0
							for word in words:
														if width + len(A					) + len(A					) <= 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(A					)
																					width += len(A					)
														else:
																					# justify the line and add it to result
																					answer.append(justify(A       ,		A       ,		A					)					)
																					# reset new line and new width
																					SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      [word], len(A					)
							SCREAMING_SNAKE_CASE       :   Dict         =      max_width - width - len(A					)
							answer.append(''' '''.join(A					) + (remaining_spaces + 1) * ''' '''					)
							return answer


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

							testmod()












"""simple docstring"""
lowerCAmelCase__    						=			'\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

lowerCAmelCase__    						=			[{'type': 'code', 'content': INSTALL_CONTENT}]
lowerCAmelCase__    						=			{
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}

