






'''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)
SCREAMING_SNAKE_CASE						=	logging.getLogger()


def 							lowercase_				(    __A :       Path					,      __A :       list			)       ->      Optional[Any]:



 """simple docstring"""




 lowercase					:   List[Any]				  ='''\n'''.join(__A			)
 Path(__A			).open('''w'''			).writelines(__A			)


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

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





class lowercase__					(    __A				):




      """simple docstring"""




      def 				A__      ( self			:		Optional[Any]     ,      UpperCAmelCase			:		Optional[int]		)  ->  List[str]:


       '''simple docstring'''

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

       lowercase					:   Union[str, Any]				  =str(Path(self.get_auto_remove_tmp_dir()		) / '''scores.json'''		)
       lowercase					:   Tuple				  ='''translation_en_to_de''' if model == T5_TINY else '''summarization'''
       lowercase					:   int				  =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 				A__      ( self			:		Dict		)  ->  int:


       '''simple docstring'''

       self.run_eval_tester(UpperCAmelCase		)






      @parameterized.expand([BART_TINY, MBART_TINY]		)
      @slow
      def 				A__      ( self			:		Any     ,      UpperCAmelCase			:		Optional[Any]		)  ->  Optional[int]:


       '''simple docstring'''

       self.run_eval_tester(UpperCAmelCase		)






      @parameterized.expand([T5_TINY, MBART_TINY]		)
      @slow
      def 				A__      ( self			:		List[str]     ,      UpperCAmelCase			:		Tuple		)  ->  Optional[Any]:


       '''simple docstring'''

       lowercase					:   Any				  =Path(self.get_auto_remove_tmp_dir()		) / '''utest_input.source'''
       lowercase					:   Optional[Any]				  =input_file_name.parent / '''utest_output.txt'''
       assert not output_file_name.exists()

       lowercase					:   Union[str, 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!''',
           ],
       }

       lowercase					:   List[str]				  =Path(self.get_auto_remove_tmp_dir()		)
       lowercase					:   Any				  =str(tmp_dir / '''scores.json'''		)
       lowercase					:   Union[str, Any]				  =str(tmp_dir / '''val.target'''		)
       _dump_articles(UpperCAmelCase     ,      text['''en''']		)
       _dump_articles(UpperCAmelCase     ,      text['''de''']		)
       lowercase					:   Tuple				  ='''translation_en_to_de''' if model == T5_TINY else '''summarization'''
       lowercase					:   str				  =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()
        lowercase					:   List[Any]				  =[''' num_beams | length_penalty''', model, '''Best score args''']
        lowercase					:   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		)		)











'''simple docstring'''



import importlib.metadata
from typing import Union

from packaging.version import Version, parse

from .constants import STR_OPERATION_TO_FUNC


SCREAMING_SNAKE_CASE						=	parse(importlib.metadata.version('torch'))


def 							lowercase_				(    __A :       Union[str, Version]					,      __A :       str					,      __A :       str			)       ->      Union[str, Any]:



 """simple docstring"""




 if operation not in STR_OPERATION_TO_FUNC.keys():
  raise ValueError(F'`operation` must be one of {list(STR_OPERATION_TO_FUNC.keys()			)}, received {operation}'			)
 lowercase					:   Any				  =STR_OPERATION_TO_FUNC[operation]
 if isinstance(__A					,      __A			):
  lowercase					:   List[Any]				  =parse(importlib.metadata.version(__A			)			)
 return operation(__A					,      parse(__A			)			)





def 							lowercase_				(    __A :       str					,      __A :       str			)       ->      Tuple:



 """simple docstring"""




 return compare_versions(__A					,      __A					,      __A			)



