
"""simple docstring"""




from __future__ import annotations

A__   :					Union[str, Any]							=   'Muhammad Umer Farooq'
A__   :					Dict							=   'MIT'
A__   :					Optional[int]							=   '1.0.0'
A__   :					Optional[Any]							=   'Muhammad Umer Farooq'
A__   :					Union[str, Any]							=   'contact@muhammadumerfarooq.me'
A__   :					List[Any]							=   'Alpha'

import re
from html.parser import HTMLParser
from urllib import parse

import requests


class 			__magic_name__       (       SCREAMING_SNAKE_CASE__ ):
       def __init__(     self ,				A_       )     ->	None:





         """simple docstring"""




         super().__init__()
         _lowercase:			list[str]       =     []
         _lowercase:			List[Any]       =     domain



       def 							lowercase_							(     self ,				A_ ,				A_       )     ->	None:





         """simple docstring"""




         if tag == "a":
           # Check the list of defined attributes.
           for name, value in attrs:
             # If href is defined, and not empty nor # print it.
             if name == "href" and value != "#" and value != "":
               # If not already in urls.
               if value not in self.urls:
                 _lowercase:			Any       =     parse.urljoin(self.domain ,				A_       )
                 self.urls.append(A_       )




def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  return ".".join(get_sub_domain_name(_UpperCamelCase						).split('''.'''						)[-2:]						)




def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  return parse.urlparse(_UpperCamelCase						).netloc




def  _lowerCAmelCase		(		_UpperCamelCase = "https://github.com"						):






  """simple docstring"""



  _lowercase:			Optional[Any]       =     get_domain_name(_UpperCamelCase						)

  # Initialize the parser
  _lowercase:			List[str]       =     Parser(_UpperCamelCase						)

  try:
    # Open URL
    _lowercase:			str       =     requests.get(_UpperCamelCase						)

    # pass the raw HTML to the parser to get links
    parser.feed(r.text						)

    # Get links and loop through
    _lowercase:			int       =     set()
    for link in parser.urls:
      # open URL.
      # read = requests.get(link)
      try:
        _lowercase:			Dict       =     requests.get(_UpperCamelCase						)
        # Get the valid email.
        _lowercase:			Tuple       =     re.findall('''[a-zA-Z0-9]+@''' + domain ,				read.text						)
        # If not in list then append it.
        for email in emails:
          valid_emails.add(_UpperCamelCase						)
      except ValueError:
        pass
  except ValueError:
    raise SystemExit(1						)

  # Finally return a sorted list of email addresses with no duplicates.
  return sorted(_UpperCamelCase						)


if __name__ == "__main__":
  A__   :					List[str]							=   emails_from_url('https://github.com')
  print(f"""{len(emails)} emails found:""")
  print('\n'.join(sorted(emails)))







"""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_       )       )
