


'''simple docstring'''





from __future__ import annotations

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

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

import requests




class 				UpperCAmelCase			(			_snake_case						):


 def __init__(      self							:	Optional[Any]			,       __lowerCamelCase							:	str ):
    super().__init__()
    UpperCAmelCase__	:list[str]      =      []
    UpperCAmelCase__	:Any      =      domain





 def        __SCREAMING_SNAKE_CASE					(      self							:	Any			,       __lowerCamelCase							:	str			,       __lowerCamelCase							:	list[tuple[str, str | None]] ):
    # 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__	:Any      =      parse.urljoin(self.domain			,       __lowerCamelCase )
                self.urls.append(__lowerCamelCase )


def        a__     (					UpperCamelCase_						:      str						):
   return ".".join(get_sub_domain_name(UpperCamelCase_						).split('''.'''						)[-2:]						)


def        a__     (					UpperCamelCase_						:      str						):
   return parse.urlparse(UpperCamelCase_						).netloc


def        a__     (					UpperCamelCase_						:      str = "https://github.com"						):
   UpperCAmelCase__	:Dict      =      get_domain_name(UpperCamelCase_						)

   # Initialize the parser
   UpperCAmelCase__	:Dict      =      Parser(UpperCamelCase_						)

   try:
      # Open URL
      UpperCAmelCase__	:str      =      requests.get(UpperCamelCase_						)

      # 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__	:Dict      =      requests.get(UpperCamelCase_						)
            # Get the valid email.
            UpperCAmelCase__	:Optional[int]      =      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__":
    __lowerCamelCase												=						emails_from_url('''https://github.com''')
    print(F'''{len(emails)} emails found:''')
    print('''\n'''.join(sorted(emails)))







'''simple docstring'''





from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
    import numpy as np
    import tensorflow as tf

    from transformers import TFCamembertModel




@require_tf
@require_sentencepiece
@require_tokenizers
class 				UpperCAmelCase			(			unittest.TestCase						):


 @slow
 def        __SCREAMING_SNAKE_CASE					(      self							:	List[str] ):
    UpperCAmelCase__	:List[str]      =      TFCamembertModel.from_pretrained('''jplu/tf-camembert-base''' )

    UpperCAmelCase__	:Optional[Any]      =      tf.convert_to_tensor(
        [[5, 1_2_1, 1_1, 6_6_0, 1_6, 7_3_0, 2_5_5_4_3, 1_1_0, 8_3, 6]]			,       dtype=tf.intaa			,       )  # J'aime le camembert !"

    UpperCAmelCase__	:Any      =      model(__lowerCamelCase )['''last_hidden_state''']
    UpperCAmelCase__	:Dict      =      tf.TensorShape((1, 1_0, 7_6_8) )
    self.assertEqual(output.shape			,       __lowerCamelCase )
    # compare the actual values for a slice.
    UpperCAmelCase__	:Any      =      tf.convert_to_tensor(
        [[[-0.02_54, 0.02_35, 0.10_27], [0.06_06, -0.18_11, -0.04_18], [-0.15_61, -0.11_27, 0.26_87]]]			,       dtype=tf.floataa			,       )
    # camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
    # camembert.eval()
    # expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

    self.assertTrue(np.allclose(output[:, :3, :3].numpy()			,       expected_slice.numpy()			,       atol=1e-4 ) )



