'''simple docstring'''




from __future__ import annotations

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

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

import requests






class 		__A       (__a   ):






       def __init__(      self				,     UpperCamelCase_      ):
              super().__init__()
              __UpperCAmelCase  :				str       				=		[]
              __UpperCAmelCase  :				List[Any]       				=		domain







       def 			_snake_case						(      self				,     UpperCamelCase_				,     UpperCamelCase_      ):
              # Only parse the 'anchor' tag.
              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:
                                          __UpperCAmelCase  :				Optional[int]       				=		parse.urljoin(self.domain				,     snake_case__      )
                                          self.urls.append(snake_case__      )





def _lowercase	(      lowerCamelCase__       )					->       List[Any]:





       """simple docstring"""


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

def _lowercase	(      lowerCamelCase__       )					->       Optional[Any]:





       """simple docstring"""


       return parse.urlparse(lowerCAmelCase__       ).netloc

def _lowercase	(      lowerCamelCase__ = "https://github.com"       )					->       List[Any]:





       """simple docstring"""


       __UpperCAmelCase  :				str       				=		get_domain_name(lowerCAmelCase__       )

       # Initialize the parser
       __UpperCAmelCase  :				Tuple       				=		Parser(lowerCAmelCase__       )

       try:
              # Open URL
              __UpperCAmelCase  :				int       				=		requests.get(lowerCAmelCase__       )

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

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

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


if __name__ == "__main__":
   _a   :	Optional[Any] 							=   emails_from_url("https://github.com")
   print(f"""{len(emails)} emails found:""")
   print("\n".join(sorted(emails)))







'''simple docstring'''




import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
   import torch

   from transformers.generation import (
       MaxLengthCriteria,
       MaxNewTokensCriteria,
       MaxTimeCriteria,
       StoppingCriteriaList,
       validate_stopping_criteria,
   )






@require_torch
class 		__A       (unittest.TestCase   ):






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				List[str]       				=		3
              __UpperCAmelCase  :				Tuple       				=		2_50

              __UpperCAmelCase  :				str       				=		ids_tensor((batch_size, length)				,     UpperCamelCase_      )
              __UpperCAmelCase  :				Any       				=		torch.ones((batch_size, length)				,     device=UpperCamelCase_				,     dtype=torch.float      ) / length
              return input_ids, scores






       def 			_snake_case						(      self      ):
              __UpperCAmelCase				, __UpperCAmelCase  :				Tuple       				=		self._get_tensors(5      )

              __UpperCAmelCase  :				Tuple       				=		StoppingCriteriaList(
                  [
                      MaxLengthCriteria(max_length=10      ),
                      MaxTimeCriteria(max_time=0.1      ),
                  ]      )

              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				int       				=		self._get_tensors(9      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[int]       				=		self._get_tensors(10      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )






       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				int       				=		MaxLengthCriteria(max_length=10      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Tuple       				=		self._get_tensors(5      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Dict       				=		self._get_tensors(9      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[int]       				=		self._get_tensors(10      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )






       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				Optional[Any]       				=		MaxNewTokensCriteria(start_length=5				,     max_new_tokens=5      )

              __UpperCAmelCase				, __UpperCAmelCase  :				List[str]       				=		self._get_tensors(5      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Dict       				=		self._get_tensors(9      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[Any]       				=		self._get_tensors(10      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase  :				Union[str, Any]       				=		StoppingCriteriaList([criteria]      )
              self.assertEqual(criteria_list.max_length				,     10      )






       def 			_snake_case						(      self      ):
              __UpperCAmelCase				, __UpperCAmelCase  :				Optional[Any]       				=		self._get_tensors(5      )

              __UpperCAmelCase  :				str       				=		MaxTimeCriteria(max_time=0.1      )
              self.assertFalse(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )

              __UpperCAmelCase  :				str       				=		MaxTimeCriteria(max_time=0.1				,     initial_timestamp=time.time() - 0.2      )
              self.assertTrue(criteria(UpperCamelCase_				,     UpperCamelCase_      )      )







       def 			_snake_case						(      self      ):
              validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10      )]      )				,     10      )

              with self.assertWarns(UpperCamelCase_      ):
                     validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10      )]      )				,     11      )

              __UpperCAmelCase  :				Optional[int]       				=		validate_stopping_criteria(StoppingCriteriaList()				,     11      )

              self.assertEqual(len(UpperCamelCase_      )				,     1      )






