


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)
snake_case							:	List[Any]					      =				logging.getLogger()






def 							__lowercase       (			__lowerCAmelCase							:    Path ,   __lowerCAmelCase							:    list       ):
							a__					=					'\n'.join(__lowerCAmelCase       )
							Path(__lowerCAmelCase       ).open('w'       ).writelines(__lowerCAmelCase       )


snake_case							:	Union[str, Any]					      =				'''patrickvonplaten/t5-tiny-random'''
snake_case							:	Optional[Any]					      =				'''sshleifer/bart-tiny-random'''
snake_case							:	str					      =				'''sshleifer/tiny-mbart'''

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







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

												a__					=					str(Path(self.get_auto_remove_tmp_dir()				) / 'scores.json'				)
												a__					=					'translation_en_to_de' if model == T5_TINY else 'summarization'
												a__					=					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(__snake_case      ,'argv'      ,__snake_case				):
																			run_generate()
																			assert Path(__snake_case				).exists()
																			# os.remove(Path(output_file_name))
					def 			lowerCamelCase__(				self       :Tuple				) ->   Union[str, Any]:
												self.run_eval_tester(__snake_case				)
					@parameterized.expand([BART_TINY, MBART_TINY]				)
					@slow
					def 			lowerCamelCase__(				self       :Union[str, Any]      ,__snake_case       :int				) ->   str:
												self.run_eval_tester(__snake_case				)



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

												a__					=					{
												    '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!',
												    ],
												}

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








from __future__ import annotations






def 							__lowercase       (			__lowerCAmelCase							:    list[int] ,   __lowerCAmelCase							:    int ,   __lowerCAmelCase							:    int ,   __lowerCAmelCase							:    int       ):
							if (direction == 1 and array[indexa] > array[indexa]) or (
							    direction == 0 and array[indexa] < array[indexa]
							):
														a__				, a__					=					array[indexa], array[indexa]






def 							__lowercase       (			__lowerCAmelCase							:    list[int] ,   __lowerCAmelCase							:    int ,   __lowerCAmelCase							:    int ,   __lowerCAmelCase							:    int       ):
							if length > 1:
														a__					=					int(length / 2       )
														for i in range(__lowerCAmelCase ,   low + middle       ):
																					comp_and_swap(__lowerCAmelCase ,   __lowerCAmelCase ,   i + middle ,   __lowerCAmelCase       )
														bitonic_merge(__lowerCAmelCase ,   __lowerCAmelCase ,   __lowerCAmelCase ,   __lowerCAmelCase       )
														bitonic_merge(__lowerCAmelCase ,   low + middle ,   __lowerCAmelCase ,   __lowerCAmelCase       )






def 							__lowercase       (			__lowerCAmelCase							:    list[int] ,   __lowerCAmelCase							:    int ,   __lowerCAmelCase							:    int ,   __lowerCAmelCase							:    int       ):
							if length > 1:
														a__					=					int(length / 2       )
														bitonic_sort(__lowerCAmelCase ,   __lowerCAmelCase ,   __lowerCAmelCase ,   1       )
														bitonic_sort(__lowerCAmelCase ,   low + middle ,   __lowerCAmelCase ,   0       )
														bitonic_merge(__lowerCAmelCase ,   __lowerCAmelCase ,   __lowerCAmelCase ,   __lowerCAmelCase       )


if __name__ == "__main__":
						snake_case							:	int					      =				input('''Enter numbers separated by a comma:\n''').strip()
						snake_case							:	Optional[int]					      =				[int(item.strip()) for item in user_input.split(''',''')]

						bitonic_sort(unsorted, 0, len(unsorted), 1)
						print('''\nSorted array in ascending order is: ''', end='''''')
						print(*unsorted, sep=''', ''')

						bitonic_merge(unsorted, 0, len(unsorted), 0)
						print('''Sorted array in descending order is: ''', end='''''')
						print(*unsorted, sep=''', ''')




