


'''simple docstring'''

import logging
import os
import sys
from pathlib import Path
from unittest.mock import patch

from parameterized import parameterized
from run_eval import run_generate
from run_eval_search import run_search

from transformers.testing_utils import CaptureStdout, TestCasePlus, slow
from utils import ROUGE_KEYS


logging.basicConfig(level=logging.DEBUG)
lowerCAmelCase				:List[str]        =      logging.getLogger()





def lowerCamelCase      (      lowerCAmelCase    :     Path		,		lowerCAmelCase    :     list		):





	"""simple docstring"""







	__magic_name__	:   Dict					     =					'\n'.join(lowerCAmelCase		)
	Path(lowerCAmelCase		).open('w'		).writelines(lowerCAmelCase		)


lowerCAmelCase				:Optional[Any]        =      '''patrickvonplaten/t5-tiny-random'''
lowerCAmelCase				:Any        =      '''sshleifer/bart-tiny-random'''
lowerCAmelCase				:Optional[int]        =      '''sshleifer/tiny-mbart'''

lowerCAmelCase				:Optional[Any]        =      logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
logging.disable(logging.CRITICAL)  # remove noisy download output from tracebacks





class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		def        __lowerCAmelCase		( self		:						List[Any]  ,					_A		:						Union[str, Any]      )  ->			Optional[int]:
			__magic_name__	:   Optional[Any]					     =					Path(self.get_auto_remove_tmp_dir()      ) / 'utest_input.source'
			__magic_name__	:   str					     =					input_file_name.parent / 'utest_output.txt'
			assert not output_file_name.exists()
			__magic_name__	:   List[Any]					     =					[' New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County.']
			_dump_articles(_A  ,					_A      )

			__magic_name__	:   str					     =					str(Path(self.get_auto_remove_tmp_dir()      ) / 'scores.json'      )
			__magic_name__	:   List[str]					     =					'translation_en_to_de' if model == T5_TINY else 'summarization'
			__magic_name__	:   Tuple					     =					F'\n            run_eval_search.py\n            {model}\n            {input_file_name}\n            {output_file_name}\n            --score_path {score_path}\n            --task {task}\n            --num_beams 2\n            --length_penalty 2.0\n            '.split()

			with patch.object(_A  ,					'argv'  ,					_A      ):
				run_generate()
				assert Path(_A      ).exists()
				# os.remove(Path(output_file_name))







		def        __lowerCAmelCase		( self		:						str      )  ->			List[str]:
			self.run_eval_tester(_A      )







		@parameterized.expand([BART_TINY, MBART_TINY]      )
		@slow
		def        __lowerCAmelCase		( self		:						Union[str, Any]  ,					_A		:						Optional[Any]      )  ->			Dict:
			self.run_eval_tester(_A      )







		@parameterized.expand([T5_TINY, MBART_TINY]      )
		@slow
		def        __lowerCAmelCase		( self		:						Dict  ,					_A		:						Optional[int]      )  ->			Union[str, Any]:
			__magic_name__	:   List[Any]					     =					Path(self.get_auto_remove_tmp_dir()      ) / 'utest_input.source'
			__magic_name__	:   List[Any]					     =					input_file_name.parent / 'utest_output.txt'
			assert not output_file_name.exists()

			__magic_name__	:   Optional[int]					     =					{
			    'en': ['Machine learning is great, isn\'t it?', 'I like to eat bananas', 'Tomorrow is another great day!'],
			    'de': [
			        'Maschinelles Lernen ist großartig, oder?',
			        'Ich esse gerne Bananen',
			        'Morgen ist wieder ein toller Tag!',
			    ],
			}

			__magic_name__	:   int					     =					Path(self.get_auto_remove_tmp_dir()      )
			__magic_name__	:   int					     =					str(tmp_dir / 'scores.json'      )
			__magic_name__	:   Dict					     =					str(tmp_dir / 'val.target'      )
			_dump_articles(_A  ,					text['en']      )
			_dump_articles(_A  ,					text['de']      )
			__magic_name__	:   List[str]					     =					'translation_en_to_de' if model == T5_TINY else 'summarization'
			__magic_name__	:   Any					     =					F'\n            run_eval_search.py\n            {model}\n            {str(_A      )}\n            {str(_A      )}\n            --score_path {score_path}\n            --reference_path {reference_path}\n            --task {task}\n            '.split()
			testargs.extend(['--search', 'num_beams=1:2 length_penalty=0.9:1.0']      )

			with patch.object(_A  ,					'argv'  ,					_A      ):
				with CaptureStdout() as cs:
					run_search()
				__magic_name__	:   Union[str, Any]					     =					[' num_beams | length_penalty', model, 'Best score args']
				__magic_name__	:   List[Any]					     =					['Info']
				if "translation" in task:
					expected_strings.append('bleu'      )
				else:
					expected_strings.extend(_A      )
				for w in expected_strings:
					assert w in cs.out
				for w in un_expected_strings:
					assert w not in cs.out
				assert Path(_A      ).exists()
				os.remove(Path(_A      )      )



'''simple docstring'''

def lowerCamelCase      (      lowerCAmelCase    :     int		):





	"""simple docstring"""







	__magic_name__	:   Optional[int]					     =					1
	for i in range(1		,		num + 1		):
		fact *= i
	return fact





def lowerCamelCase      (      lowerCAmelCase    :     int		):





	"""simple docstring"""







	__magic_name__	:   List[str]					     =					0
	while number > 0:
		__magic_name__	:   str					     =					number % 10
		sum_of_digits += last_digit
		__magic_name__	:   Optional[int]					     =					number // 10  # Removing the last_digit from the given number
	return sum_of_digits





def lowerCamelCase      (      lowerCAmelCase    :     int = 100		):





	"""simple docstring"""







	__magic_name__	:   int					     =					factorial(lowerCAmelCase		)
	__magic_name__	:   Any					     =					split_and_add(lowerCAmelCase		)
	return result


if __name__ == "__main__":
							print(solution(int(input('''Enter the Number: ''').strip())))