



'''simple docstring'''


from __future__ import annotations

lowercase							       =			'''Muhammad Umer Farooq'''
lowercase							       =			'''MIT'''
lowercase							       =			'''1.0.0'''
lowercase							       =			'''Muhammad Umer Farooq'''
lowercase							       =			'''contact@muhammadumerfarooq.me'''
lowercase							       =			'''Alpha'''

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

import requests







class 	UpperCAmelCase	(		__a):


 '''simple docstring'''




 def __init__(   self							,  lowerCAmelCase_) ->      None:



      """simple docstring"""







      super().__init__()
      a_       		=[]
      a_       		=domain




 def       lowercase_  (   self							,  lowerCAmelCase_							,  lowerCAmelCase_) ->      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:
                          a_       		=parse.urljoin(self.domain							,  lowerCAmelCase_)
                          self.urls.append(lowerCAmelCase_)






def  UpperCAmelCase_       (		lowercase__       ):


     '''simple docstring'''







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






def  UpperCAmelCase_       (		lowercase__       ):


     '''simple docstring'''







     return parse.urlparse(lowercase__       ).netloc






def  UpperCAmelCase_       (		lowercase__ = "https://github.com"       ):


     '''simple docstring'''







     a_       		=get_domain_name(lowercase__       )

     # Initialize the parser
     a_       		=Parser(lowercase__       )

     try:
          # Open URL
          a_       		=requests.get(lowercase__       )

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

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

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


if __name__ == "__main__":
  lowercase							       =			emails_from_url('''https://github.com''')
  print(F"""{len(emails)} emails found:""")
  print('''\n'''.join(sorted(emails)))







'''simple docstring'''


import json
import logging
import os
import sys
from time import time
from unittest.mock import patch

from transformers.testing_utils import TestCasePlus, require_torch_tpu


logging.basicConfig(level=logging.DEBUG)

lowercase							       =			logging.getLogger()






def  UpperCAmelCase_       (		lowercase__       ):


     '''simple docstring'''







     a_       		={}
     a_       		=os.path.join(lowercase__       ,	"all_results.json"       )
     if os.path.exists(lowercase__       ):
          with open(lowercase__       ,	"r"       ) as f:
               a_       		=json.load(lowercase__       )
     else:
          raise ValueError(F"""can't find {path}"""       )
     return results


lowercase							       =			logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)







@require_torch_tpu
class 	UpperCAmelCase	(		__a):


 '''simple docstring'''




 def       lowercase_  (   self) ->      List[Any]:



      """simple docstring"""







      import xla_spawn

      a_       		=self.get_auto_remove_tmp_dir()
      a_       		=f"""
            ./examples/pytorch/text-classification/run_glue.py
            --num_cores=8
            ./examples/pytorch/text-classification/run_glue.py
            --model_name_or_path distilbert-base-uncased
            --output_dir {tmp_dir}
            --overwrite_output_dir
            --train_file ./tests/fixtures/tests_samples/MRPC/train.csv
            --validation_file ./tests/fixtures/tests_samples/MRPC/dev.csv
            --do_train
            --do_eval
            --debug tpu_metrics_debug
            --per_device_train_batch_size=2
            --per_device_eval_batch_size=1
            --learning_rate=1e-4
            --max_steps=10
            --warmup_steps=2
            --seed=42
            --max_seq_length=128
            """.split()

      with patch.object(lowerCAmelCase_							,  "argv"							,  lowerCAmelCase_):
           a_       		=time()
           xla_spawn.main()
           a_       		=time()

           a_       		=get_results(lowerCAmelCase_)
           self.assertGreaterEqual(result["eval_accuracy"]							,  0.7_5)

           # Assert that the script takes less than 500 seconds to make sure it doesn't hang.
           self.assertLess(end - start							,  5_0_0)




 def       lowercase_  (   self) ->      Tuple:



      """simple docstring"""







      import xla_spawn

      a_       		="\n            ./tests/test_trainer_tpu.py\n            --num_cores=8\n            ./tests/test_trainer_tpu.py\n            ".split()
      with patch.object(lowerCAmelCase_							,  "argv"							,  lowerCAmelCase_):
           xla_spawn.main()


