'''simple docstring'''

import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class 				_lowercase	(      lowerCAmelCase		,unittest.TestCase   ):
 '''simple docstring'''


 UpperCAmelCase_      :      int      							=   OpenAIGPTTokenizer
 UpperCAmelCase_      :      Optional[Any]      							=   OpenAIGPTTokenizerFast
 UpperCAmelCase_      :      Dict      							=   True
 UpperCAmelCase_      :      Any      							=   False




 def 		lowerCAmelCase__					(				self							)			->			Dict:



    '''simple docstring'''



    super().setUp()

    # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
    UpperCAmelCase__							:				Optional[int]   				=  [
        '''l''',
        '''o''',
        '''w''',
        '''e''',
        '''r''',
        '''s''',
        '''t''',
        '''i''',
        '''d''',
        '''n''',
        '''w</w>''',
        '''r</w>''',
        '''t</w>''',
        '''lo''',
        '''low''',
        '''er</w>''',
        '''low</w>''',
        '''lowest</w>''',
        '''newer</w>''',
        '''wider</w>''',
        '''<unk>''',
    ]
    UpperCAmelCase__							:				Dict   				=  dict(zip(lowerCamelCase_					,range(len(lowerCamelCase_							)							)							)							)
    UpperCAmelCase__							:				List[str]   				=  ['''#version: 0.2''', '''l o''', '''lo w''', '''e r</w>''', '''''']

    UpperCAmelCase__							:				List[Any]   				=  os.path.join(self.tmpdirname					,VOCAB_FILES_NAMES['''vocab_file''']							)
    UpperCAmelCase__							:				List[Any]   				=  os.path.join(self.tmpdirname					,VOCAB_FILES_NAMES['''merges_file''']							)
    with open(self.vocab_file					,'''w'''							) as fp:
       fp.write(json.dumps(lowerCamelCase_							)							)
    with open(self.merges_file					,'''w'''							) as fp:
       fp.write('''\n'''.join(lowerCamelCase_							)							)




 def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			Dict:



    '''simple docstring'''



    return "lower newer", "lower newer"




 def 		lowerCAmelCase__					(				self							)			->			Dict:



    '''simple docstring'''



    UpperCAmelCase__							:				Tuple   				=  OpenAIGPTTokenizer(self.vocab_file					,self.merges_file							)

    UpperCAmelCase__							:				Dict   				=  '''lower'''
    UpperCAmelCase__							:				List[str]   				=  ['''low''', '''er</w>''']
    UpperCAmelCase__							:				List[Any]   				=  tokenizer.tokenize(lowerCamelCase_							)
    self.assertListEqual(lowerCamelCase_					,lowerCamelCase_							)

    UpperCAmelCase__							:				Any   				=  tokens + ['''<unk>''']
    UpperCAmelCase__							:				Optional[int]   				=  [14, 15, 20]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_							)					,lowerCamelCase_							)




 def 		lowerCAmelCase__					(				self					,lowerCamelCase_=15							)			->			Optional[Any]:



    '''simple docstring'''



    for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''							):
          UpperCAmelCase__							:				List[Any]   				=  self.rust_tokenizer_class.from_pretrained(lowerCamelCase_					,**lowerCamelCase_							)

          # Simple input
          UpperCAmelCase__							:				Optional[int]   				=  '''This is a simple input'''
          UpperCAmelCase__							:				Optional[int]   				=  ['''This is a simple input 1''', '''This is a simple input 2''']
          UpperCAmelCase__							:				str   				=  ('''This is a simple input''', '''This is a pair''')
          UpperCAmelCase__							:				Tuple   				=  [
              ('''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
          self.assertRaises(lowerCamelCase_					,tokenizer_r.encode					,lowerCamelCase_					,max_length=lowerCamelCase_					,padding='''max_length'''							)

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

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

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

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

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




 def 		lowerCAmelCase__					(				self							)			->			Any:



    '''simple docstring'''



    pass




@require_ftfy
@require_spacy
@require_tokenizers
class 				_lowercase	(      lowerCAmelCase   ):
 '''simple docstring'''


 pass





'''simple docstring'''

import math







def __UpperCamelCase(   _A					:				float  ,			_A					:				float    ):
   '''simple docstring'''
   return math.pow(_A  ,			2    ) - a







def __UpperCamelCase(   _A					:				float    ):
   '''simple docstring'''
   return 2 * x







def __UpperCamelCase(   _A					:				float    ):
   '''simple docstring'''
   UpperCAmelCase__							:				int   				=  2.0

   while start <= a:
      UpperCAmelCase__							:				int   				=  math.pow(_A  ,			2    )

   return start







def __UpperCamelCase(   _A					:				float  ,			_A					:				int = 99_99  ,			_A					:				float = 0.0_0_0_0_0_0_0_0_0_0_0_0_0_1    ):
   '''simple docstring'''

   if a < 0:
      raise ValueError('''math domain error'''    )

   UpperCAmelCase__							:				Any   				=  get_initial_point(_A    )

   for _ in range(_A    ):
      UpperCAmelCase__							:				Optional[Any]   				=  value
      UpperCAmelCase__							:				Tuple   				=  value - fx(_A  ,			_A    ) / fx_derivative(_A    )
      if abs(prev_value - value    ) < tolerance:
         return value

   return value


if __name__ == "__main__":
  from doctest import testmod

  testmod()




