



'''simple docstring'''


import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class  SCREAMING_SNAKE_CASE (  _a   ,						unittest.TestCase		):






    """simple docstring"""





    _SCREAMING_SNAKE_CASE	  =  None
    _SCREAMING_SNAKE_CASE	  =  BloomTokenizerFast
    _SCREAMING_SNAKE_CASE	  =  BloomTokenizerFast
    _SCREAMING_SNAKE_CASE	  =  True
    _SCREAMING_SNAKE_CASE	  =  False
    _SCREAMING_SNAKE_CASE	  =  """tokenizer_file"""
    _SCREAMING_SNAKE_CASE	  =  {"""bos_token""": """<s>""", """eos_token""": """</s>""", """unk_token""": """<unk>""", """pad_token""": """<pad>"""}






    def  A       (  self      :					List[str] ):


       """simple docstring"""







       super().setUp()
       UpperCamelCase					=  BloomTokenizerFast.from_pretrained('bigscience/tokenizer' )
       tokenizer.save_pretrained(self.tmpdirname )






    def  A       (  self      :					List[str]  ,						**UpperCamelCase__      :					Union[str, Any] ):


       """simple docstring"""







       kwargs.update(self.special_tokens_map )
       return BloomTokenizerFast.from_pretrained(self.tmpdirname  ,						**UpperCamelCase__ )






    def  A       (  self      :					Dict ):


       """simple docstring"""







       UpperCamelCase					=  self.get_rust_tokenizer()

       UpperCamelCase					=  ['The quick brown fox</s>', 'jumps over the lazy dog</s>']
       UpperCamelCase					=  [[2_1_7_5, 2_3_7_1_4, 7_3_1_7_3, 1_4_4_2_5_2, 2], [7_7, 1_3_2_6_1_9, 3_4_7_8, 3_6_8, 1_0_9_5_8_6, 3_5_4_3_3, 2]]

       UpperCamelCase					=  tokenizer.batch_encode_plus(UpperCamelCase__ )['input_ids']
       self.assertListEqual(UpperCamelCase__  ,						UpperCamelCase__ )

       UpperCamelCase					=  tokenizer.batch_decode(UpperCamelCase__ )
       self.assertListEqual(UpperCamelCase__  ,						UpperCamelCase__ )






    def  A       (  self      :					int  ,						UpperCamelCase__      :					Tuple=6 ):


       """simple docstring"""







       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
          with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
             UpperCamelCase					=  self.rust_tokenizer_class.from_pretrained(UpperCamelCase__  ,						**UpperCamelCase__ )
             # tokenizer_r.pad_token = None # Hotfixing padding = None
             # Simple input
             UpperCamelCase					=  'This is a simple input'
             UpperCamelCase					=  ['This is a simple input 1', 'This is a simple input 2']
             UpperCamelCase					=  ('This is a simple input', 'This is a pair')
             UpperCamelCase					=  [
                 ('This is a simple input 1', 'This is a simple input 2'),
                 ('This is a simple pair 1', 'This is a simple pair 2'),
             ]

             # Simple input tests
             try:
                tokenizer_r.encode(UpperCamelCase__  ,						max_length=UpperCamelCase__ )
                tokenizer_r.encode_plus(UpperCamelCase__  ,						max_length=UpperCamelCase__ )

                tokenizer_r.batch_encode_plus(UpperCamelCase__  ,						max_length=UpperCamelCase__ )
                tokenizer_r.encode(UpperCamelCase__  ,						max_length=UpperCamelCase__ )
                tokenizer_r.batch_encode_plus(UpperCamelCase__  ,						max_length=UpperCamelCase__ )
             except ValueError:
                self.fail('Bloom Tokenizer should be able to deal with padding' )

             UpperCamelCase					=  None  # Hotfixing padding = None
             self.assertRaises(UpperCamelCase__  ,						tokenizer_r.encode  ,						UpperCamelCase__  ,						max_length=UpperCamelCase__  ,						padding='max_length' )

             # Simple input
             self.assertRaises(UpperCamelCase__  ,						tokenizer_r.encode_plus  ,						UpperCamelCase__  ,						max_length=UpperCamelCase__  ,						padding='max_length' )

             # Simple input
             self.assertRaises(
                 UpperCamelCase__  ,						tokenizer_r.batch_encode_plus  ,						UpperCamelCase__  ,						max_length=UpperCamelCase__  ,						padding='max_length'  ,						)

             # Pair input
             self.assertRaises(UpperCamelCase__  ,						tokenizer_r.encode  ,						UpperCamelCase__  ,						max_length=UpperCamelCase__  ,						padding='max_length' )

             # Pair input
             self.assertRaises(UpperCamelCase__  ,						tokenizer_r.encode_plus  ,						UpperCamelCase__  ,						max_length=UpperCamelCase__  ,						padding='max_length' )

             # Pair input
             self.assertRaises(
                 UpperCamelCase__  ,						tokenizer_r.batch_encode_plus  ,						UpperCamelCase__  ,						max_length=UpperCamelCase__  ,						padding='max_length'  ,						)






    def  A       (  self      :					List[str] ):


       """simple docstring"""







       UpperCamelCase					=  self.get_rust_tokenizer()
       UpperCamelCase					=  load_dataset('xnli'  ,						'all_languages'  ,						split='test'  ,						streaming=UpperCamelCase__ )

       UpperCamelCase					=  next(iter(UpperCamelCase__ ) )['premise']  # pick up one data
       UpperCamelCase					=  list(sample_data.values() )

       UpperCamelCase					=  list(map(tokenizer.encode  ,						UpperCamelCase__ ) )
       UpperCamelCase					=  [tokenizer.decode(UpperCamelCase__  ,						clean_up_tokenization_spaces=UpperCamelCase__ ) for x in output_tokens]
       self.assertListEqual(UpperCamelCase__  ,						UpperCamelCase__ )






    def  A       (  self      :					List[Any] ):


       """simple docstring"""







       self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map )  ,						1 )
       self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values() )[0] )  ,						1 )





'''simple docstring'''







from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
   A__:    Union[str, Any]					    =       input('''Enter image url: ''').strip()
   print(F"Downloading image from {url} ...")
   A__:    Tuple					    =       BeautifulSoup(requests.get(url).content, '''html.parser''')
   # The image URL is in the content field of the first meta tag with property og:image
   A__:    Union[str, Any]					    =       soup.find('''meta''', {'''property''': '''og:image'''})['''content''']
   A__:    List[Any]					    =       requests.get(image_url).content
   A__:    List[str]					    =       F"{datetime.now():%Y-%m-%d_%H:%M:%S}.jpg"
   with open(file_name, '''wb''') as fp:
      fp.write(image_data)
   print(F"Done. Image saved to disk as {file_name}.")


