






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)
__UpperCAmelCase								=						logging.getLogger()




def      lowercase__      (     __snake_case    :							Path     ,       __snake_case    :							list  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Union[str, Any]            =						'\n'.join(__snake_case  )
					Path(__snake_case  ).open('w'  ).writelines(__snake_case  )


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

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






class   lowerCamelCase      (_snake_case			):







		'''simple docstring'''



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

							UpperCAmelCase_    :      Dict            =						str(Path(self.get_auto_remove_tmp_dir()   ) / 'scores.json'   )
							UpperCAmelCase_    :      Optional[Any]            =						'translation_en_to_de' if model == T5_TINY else 'summarization'
							UpperCAmelCase_    :      List[Any]            =						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(_UpperCamelCase				,		'argv'				,		_UpperCamelCase   ):
												run_generate()
												assert Path(_UpperCamelCase   ).exists()
												# os.remove(Path(output_file_name))



		def 					__UpperCAmelCase			(							self   )	->							Dict:
							self.run_eval_tester(_UpperCamelCase   )



		@parameterized.expand([BART_TINY, MBART_TINY]   )
		@slow
		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase   )	->							Optional[int]:
							self.run_eval_tester(_UpperCamelCase   )



		@parameterized.expand([T5_TINY, MBART_TINY]   )
		@slow
		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase   )	->							Dict:
							UpperCAmelCase_    :      str            =						Path(self.get_auto_remove_tmp_dir()   ) / 'utest_input.source'
							UpperCAmelCase_    :      Tuple            =						input_file_name.parent / 'utest_output.txt'
							assert not output_file_name.exists()

							UpperCAmelCase_    :      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!',
							    ],
							}

							UpperCAmelCase_    :      List[str]            =						Path(self.get_auto_remove_tmp_dir()   )
							UpperCAmelCase_    :      Union[str, Any]            =						str(tmp_dir / 'scores.json'   )
							UpperCAmelCase_    :      Any            =						str(tmp_dir / 'val.target'   )
							_dump_articles(_UpperCamelCase				,		text['en']   )
							_dump_articles(_UpperCamelCase				,		text['de']   )
							UpperCAmelCase_    :      Any            =						'translation_en_to_de' if model == T5_TINY else 'summarization'
							UpperCAmelCase_    :      int            =						f"\n            run_eval_search.py\n            {model}\n            {str(_UpperCamelCase   )}\n            {str(_UpperCamelCase   )}\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(_UpperCamelCase				,		'argv'				,		_UpperCamelCase   ):
												with CaptureStdout() as cs:
																	run_search()
												UpperCAmelCase_    :      Tuple            =						[' num_beams | length_penalty', model, 'Best score args']
												UpperCAmelCase_    :      List[Any]            =						['Info']
												if "translation" in task:
																	expected_strings.append('bleu'   )
												else:
																	expected_strings.extend(_UpperCamelCase   )
												for w in expected_strings:
																	assert w in cs.out
												for w in un_expected_strings:
																	assert w not in cs.out
												assert Path(_UpperCamelCase   ).exists()
												os.remove(Path(_UpperCamelCase   )   )














def      lowercase__      (     __snake_case    :							list  ):


					'''simple docstring'''


					for i in range(len(__snake_case  ) - 1     ,       0     ,       -1  ):
										UpperCAmelCase_    :      Dict            =						False

										for j in range(__snake_case     ,       0     ,       -1  ):
															if unsorted[j] < unsorted[j - 1]:
																				UpperCAmelCase_       ,  UpperCAmelCase_    :      Any            =						unsorted[j - 1], unsorted[j]
																				UpperCAmelCase_    :      int            =						True

										for j in range(__snake_case  ):
															if unsorted[j] > unsorted[j + 1]:
																				UpperCAmelCase_       ,  UpperCAmelCase_    :      Optional[int]            =						unsorted[j + 1], unsorted[j]
																				UpperCAmelCase_    :      Any            =						True

										if not swapped:
															break
					return unsorted


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		__UpperCAmelCase								=						input('Enter numbers separated by a comma:\n').strip()
		__UpperCAmelCase								=						[int(item) for item in user_input.split(',')]
		print(F'{cocktail_shaker_sort(unsorted) = }')






