
"""simple docstring"""




import importlib.metadata
import operator
import re
import sys
from typing import Optional

from packaging import version


A__   :					Any							=   {
    '<': operator.lt,
    '<=': operator.le,
    '==': operator.eq,
    '!=': operator.ne,
    '>=': operator.ge,
    '>': operator.gt,
}




def  _lowerCAmelCase		(		_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase						):






  """simple docstring"""



  if got_ver is None or want_ver is None:
    raise ValueError(
        f'''Unable to compare versions for {requirement}: need={want_ver} found={got_ver}. This is unusual. Consider'''
        f''' reinstalling {pkg}.'''						)
  if not ops[op](version.parse(_UpperCamelCase						) ,				version.parse(_UpperCamelCase						)						):
    raise ImportError(
        f'''{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}'''						)




def  _lowerCAmelCase		(		_UpperCamelCase ,				_UpperCamelCase = None						):






  """simple docstring"""



  _lowercase:			Optional[int]       =     f'''\n{hint}''' if hint is not None else ''''''

  # non-versioned check
  if re.match(R'''^[\w_\-\d]+$''' ,				_UpperCamelCase						):
    _lowercase ,				_lowercase ,				_lowercase:			Any       =     requirement, None, None
  else:
    _lowercase:			Optional[Any]       =     re.findall(R'''^([^!=<>\s]+)([\s!=<>]{1,2}.+)''' ,				_UpperCamelCase						)
    if not match:
      raise ValueError(
          '''requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23, but'''
          f''' got {requirement}'''						)
    _lowercase ,				_lowercase:			str       =     match[0]
    _lowercase:			Optional[int]       =     want_full.split(''','''						)  # there could be multiple requirements
    _lowercase:			Dict       =     {}
    for w in want_range:
      _lowercase:			Any       =     re.findall(R'''^([\s!=<>]{1,2})(.+)''' ,				_UpperCamelCase						)
      if not match:
        raise ValueError(
            '''requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23,'''
            f''' but got {requirement}'''						)
      _lowercase ,				_lowercase:			int       =     match[0]
      _lowercase:			Any       =     want_ver
      if op not in ops:
        raise ValueError(f'''{requirement}: need one of {list(ops.keys()						)}, but got {op}'''						)

    # special case
  if pkg == "python":
    _lowercase:			Any       =     '''.'''.join([str(_UpperCamelCase						) for x in sys.version_info[:3]]						)
    for op, want_ver in wanted.items():
      _compare_versions(_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase						)
    return

  # check if any version is installed
  try:
    _lowercase:			Union[str, Any]       =     importlib.metadata.version(_UpperCamelCase						)
  except importlib.metadata.PackageNotFoundError:
    raise importlib.metadata.PackageNotFoundError(
        f'''The \'{requirement}\' distribution was not found and is required by this application. {hint}'''						)

  # check that the right version is installed if version number or a range was provided
  if want_ver is not None:
    for op, want_ver in wanted.items():
      _compare_versions(_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase						)







def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  _lowercase:			Optional[Any]       =     '''Try: pip install transformers -U or pip install -e \'.[dev]\' if you\'re working with git main'''
  return require_version(_UpperCamelCase ,				_UpperCamelCase						)


"""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)
A__   :					Any							=   logging.getLogger()




def  _lowerCAmelCase		(		_UpperCamelCase ,				_UpperCamelCase						):






  """simple docstring"""



  _lowercase:			Optional[int]       =     '''\n'''.join(_UpperCamelCase						)
  Path(_UpperCamelCase						).open('''w'''						).writelines(_UpperCamelCase						)


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

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







class 			__magic_name__       (       SCREAMING_SNAKE_CASE__ ):
       def 							lowercase_							(     self ,				A_       )     ->	List[Any]:





         """simple docstring"""




         _lowercase:			str       =     Path(self.get_auto_remove_tmp_dir()       ) / '''utest_input.source'''
         _lowercase:			Tuple       =     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(A_ ,				A_       )

         _lowercase:			int       =     str(Path(self.get_auto_remove_tmp_dir()       ) / '''scores.json'''       )
         _lowercase:			Optional[Any]       =     '''translation_en_to_de''' if model == T5_TINY else '''summarization'''
         _lowercase:			str       =     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(A_ ,				'''argv''' ,				A_       ):
           run_generate()
           assert Path(A_       ).exists()
           # os.remove(Path(output_file_name))
       def 							lowercase_							(     self       )     ->	Any:





         """simple docstring"""




         self.run_eval_tester(A_       )
       @parameterized.expand([BART_TINY, MBART_TINY]       )
       @slow
       def 							lowercase_							(     self ,				A_       )     ->	Union[str, Any]:





         """simple docstring"""




         self.run_eval_tester(A_       )



       @parameterized.expand([T5_TINY, MBART_TINY]       )
       @slow
       def 							lowercase_							(     self ,				A_       )     ->	List[Any]:





         """simple docstring"""




         _lowercase:			Tuple       =     Path(self.get_auto_remove_tmp_dir()       ) / '''utest_input.source'''
         _lowercase:			Dict       =     input_file_name.parent / '''utest_output.txt'''
         assert not output_file_name.exists()

         _lowercase:			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!''',
             ],
         }

         _lowercase:			Tuple       =     Path(self.get_auto_remove_tmp_dir()       )
         _lowercase:			Tuple       =     str(tmp_dir / '''scores.json'''       )
         _lowercase:			List[str]       =     str(tmp_dir / '''val.target'''       )
         _dump_articles(A_ ,				text['''en''']       )
         _dump_articles(A_ ,				text['''de''']       )
         _lowercase:			Tuple       =     '''translation_en_to_de''' if model == T5_TINY else '''summarization'''
         _lowercase:			Tuple       =     f'''
            run_eval_search.py
            {model}
            {str(A_       )}
            {str(A_       )}
            --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(A_ ,				'''argv''' ,				A_       ):
           with CaptureStdout() as cs:
             run_search()
           _lowercase:			List[str]       =     [''' num_beams | length_penalty''', model, '''Best score args''']
           _lowercase:			Union[str, 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_       )       )
