



"""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__        =				logging.getLogger()






def        snake_case_  (      A_					:		Path,				A_					:		list						):


       '''simple docstring'''





       _lowerCamelCase						:				int    			= '''\n'''.join(A_						)
       Path(A_						).open('''w'''						).writelines(A_						)


lowerCAmelCase__        =				'''patrickvonplaten/t5-tiny-random'''
lowerCAmelCase__        =				'''sshleifer/bart-tiny-random'''
lowerCAmelCase__        =				'''sshleifer/tiny-mbart'''

lowerCAmelCase__        =				logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
logging.disable(logging.CRITICAL)  # remove noisy download output from tracebacks







class        __snake_case       (	_lowercase):




  def 						SCREAMING_SNAKE_CASE				( self     :						Optional[int]						,					__lowerCAmelCase     :						Tuple		):






         """simple docstring"""






         _lowerCamelCase						:				Tuple    			= Path(self.get_auto_remove_tmp_dir()		) / '''utest_input.source'''
         _lowerCamelCase						:				Tuple    			= input_file_name.parent / '''utest_output.txt'''
         assert not output_file_name.exists()
         _lowerCamelCase						:				Optional[int]    			= [''' New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County.''']
         _dump_articles(__lowerCAmelCase						,					__lowerCAmelCase		)

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

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




  def 						SCREAMING_SNAKE_CASE				( self     :						Optional[Any]		):






         """simple docstring"""






         self.run_eval_tester(__lowerCAmelCase		)




  @parameterized.expand([BART_TINY, MBART_TINY]		)
  @slow
  def 						SCREAMING_SNAKE_CASE				( self     :						Optional[int]						,					__lowerCAmelCase     :						Optional[int]		):






         """simple docstring"""






         self.run_eval_tester(__lowerCAmelCase		)




  @parameterized.expand([T5_TINY, MBART_TINY]		)
  @slow
  def 						SCREAMING_SNAKE_CASE				( self     :						List[Any]						,					__lowerCAmelCase     :						Optional[int]		):






         """simple docstring"""






         _lowerCamelCase						:				Optional[int]    			= Path(self.get_auto_remove_tmp_dir()		) / '''utest_input.source'''
         _lowerCamelCase						:				List[str]    			= input_file_name.parent / '''utest_output.txt'''
         assert not output_file_name.exists()

         _lowerCamelCase						:				List[Any]    			= {
             '''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!''',
             ],
         }

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

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




import math





def 			lowerCamelCase_ (				lowerCamelCase__	, lowerCamelCase__    ):
				if 0 not in (x, y):
								# We use the relation x^y = y*log10(x), where 10 is the base.
								return y * math.logaa(lowerCamelCase__    )
				else:
								if x == 0:  # 0 raised to any number is 0
												return 0
								elif y == 0:
												return 1  # any number raised to 0 is 1
				raise AssertionError("This should never happen"    )


if __name__ == "__main__":  # Main function
			# Read two numbers from input and typecast them to int using map function.
			# Here x is the base and y is the power.
			__A				='''Enter the base and the power separated by a comma: '''
			__A,						__A				=map(int, input(prompt).split(''','''))
			__A,						__A				=map(int, input(prompt).split(''','''))

			# We find the log of each number, using the function res(), which takes two
			# arguments.
			__A				=res(xa, ya)
			__A				=res(xa, ya)

			# We check for the largest number
			if resa > resa:
						print('''Largest number is''', xa, '''^''', ya)
			elif resa > resa:
						print('''Largest number is''', xa, '''^''', ya)
			else:
						print('''Both are equal''')


