





"""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       a							(   a__   , unittest.TestCase  ):
 snake_case__             =       None
 snake_case__             =       BloomTokenizerFast
 snake_case__             =       BloomTokenizerFast
 snake_case__             =       True
 snake_case__             =       False
 snake_case__             =       '''tokenizer_file'''
 snake_case__             =       {'''bos_token''': '''<s>''', '''eos_token''': '''</s>''', '''unk_token''': '''<unk>''', '''pad_token''': '''<pad>'''}



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






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



 def    UpperCamelCase__  (     self				,       **_snake_case     ):







  """simple docstring"""






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



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  lowerCAmelCase    				= self.get_rust_tokenizer()

  lowerCAmelCase    				= ['The quick brown fox</s>', 'jumps over the lazy dog</s>']
  lowerCAmelCase    				= [[21_75, 2_37_14, 7_31_73, 14_42_52, 2], [77, 13_26_19, 34_78, 3_68, 10_95_86, 3_54_33, 2]]

  lowerCAmelCase    				= tokenizer.batch_encode_plus(_snake_case     )['input_ids']
  self.assertListEqual(_snake_case				,       _snake_case     )

  lowerCAmelCase    				= tokenizer.batch_decode(_snake_case     )
  self.assertListEqual(_snake_case				,       _snake_case     )



 def    UpperCamelCase__  (     self				,       _snake_case=6     ):







  """simple docstring"""






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

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

    lowerCAmelCase    				= None  # Hotfixing padding = None
    self.assertRaises(_snake_case				,       tokenizer_r.encode				,       _snake_case				,       max_length=_snake_case				,       padding='max_length'     )

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

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

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

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

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



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  lowerCAmelCase    				= self.get_rust_tokenizer()
  lowerCAmelCase    				= load_dataset('xnli'				,       'all_languages'				,       split='test'				,       streaming=_snake_case     )

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

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



 def    UpperCamelCase__  (     self     ):







  """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'''



import math







def   a__			(    a__		):




     """simple docstring"""


     return math.sqrt(a__		) * math.sqrt(a__		) == num







def   a__			(    a__		):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE      = 0
     __SCREAMING_SNAKE_CASE      = n
     while left <= right:
          __SCREAMING_SNAKE_CASE      = (left + right) // 2
          if mid**2 == n:
               return True
          elif mid**2 > n:
               __SCREAMING_SNAKE_CASE      = mid - 1
          else:
               __SCREAMING_SNAKE_CASE      = mid + 1
     return False


if __name__ == "__main__":
  import doctest

  doctest.testmod()






