
"""simple docstring"""




import argparse
import datetime




def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  _lowercase:			Optional[int]       =     {
      '''0''': '''Sunday''',
      '''1''': '''Monday''',
      '''2''': '''Tuesday''',
      '''3''': '''Wednesday''',
      '''4''': '''Thursday''',
      '''5''': '''Friday''',
      '''6''': '''Saturday''',
  }

  _lowercase:			Dict       =     {0: 1, 1: 2, 2: 3, 3: 4, 4: 5, 5: 6, 6: 0}

  # Validate
  if not 0 < len(_UpperCamelCase						) < 11:
    raise ValueError('''Must be 10 characters long'''						)

  # Get month
  _lowercase:			int       =     int(date_input[0] + date_input[1]						)
  # Validate
  if not 0 < m < 13:
    raise ValueError('''Month must be between 1 - 12'''						)

  _lowercase:			str       =     date_input[2]
  # Validate
  if sep_a not in ["-", "/"]:
    raise ValueError('''Date separator must be \'-\' or \'/\''''						)

  # Get day
  _lowercase:			int       =     int(date_input[3] + date_input[4]						)
  # Validate
  if not 0 < d < 32:
    raise ValueError('''Date must be between 1 - 31'''						)

  # Get second separator
  _lowercase:			str       =     date_input[5]
  # Validate
  if sep_a not in ["-", "/"]:
    raise ValueError('''Date separator must be \'-\' or \'/\''''						)

  # Get year
  _lowercase:			int       =     int(date_input[6] + date_input[7] + date_input[8] + date_input[9]						)
  # Arbitrary year range
  if not 45 < y < 8_500:
    raise ValueError(
        '''Year out of range. There has to be some sort of limit...right?'''						)

  # Get datetime obj for validation
  _lowercase:			Optional[Any]       =     datetime.date(int(_UpperCamelCase						) ,				int(_UpperCamelCase						) ,				int(_UpperCamelCase						)						)

  # Start math
  if m <= 2:
    _lowercase:			int       =     y - 1
    _lowercase:			Union[str, Any]       =     m + 12
  # maths var
  _lowercase:			int       =     int(str(_UpperCamelCase						)[:2]						)
  _lowercase:			int       =     int(str(_UpperCamelCase						)[2:]						)
  _lowercase:			int       =     int(2.6 * m - 5.39						)
  _lowercase:			int       =     int(c / 4						)
  _lowercase:			int       =     int(k / 4						)
  _lowercase:			int       =     int(d + k						)
  _lowercase:			int       =     int(t + u + v + x						)
  _lowercase:			int       =     int(z - (2 * c)						)
  _lowercase:			int       =     round(w % 7						)
  # End math

  # Validate math
  if f != convert_datetime_days[dt_ck.weekday()]:
    raise AssertionError('''The date was evaluated incorrectly. Contact developer.'''						)

  # Response
  _lowercase:			str       =     f'''Your date {date_input}, is a {days[str(_UpperCamelCase						)]}!'''
  return response


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  A__   :					Tuple							=   argparse.ArgumentParser(
      description=(
          'Find out what day of the week nearly any date is or was. Enter '
          'date as a string in the mm-dd-yyyy or mm/dd/yyyy format'
      )
  )
  parser.add_argument(
      'date_input', type=str, help='Date as a string (mm-dd-yyyy or mm/dd/yyyy)'
  )
  A__   :					Optional[Any]							=   parser.parse_args()
  zeller(args.date_input)







"""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_       )       )
