






'''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 UpperCAmelCase_					(    __A				,       unittest.TestCase				):




      """simple docstring"""




      UpperCamelCase_								=			OpenAIGPTTokenizer
      UpperCamelCase_								=			OpenAIGPTTokenizerFast
      UpperCamelCase_								=			True
      UpperCamelCase_								=			False






      def 				A__      ( self			:		Optional[int]		)  ->  Optional[Any]:


       '''simple docstring'''

       super().setUp()

       # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
       lowercase					:   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>''',
       ]
       lowercase					:   List[str]				  =dict(zip(UpperCAmelCase     ,      range(len(UpperCAmelCase		)		)		)		)
       lowercase					:   int				  =['''#version: 0.2''', '''l o''', '''lo w''', '''e r</w>''', '''''']

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






      def 				A__      ( self			:		Tuple     ,      UpperCAmelCase			:		Optional[Any]		)  ->  Any:


       '''simple docstring'''

       return "lower newer", "lower newer"






      def 				A__      ( self			:		List[str]		)  ->  Dict:


       '''simple docstring'''

       lowercase					:   str				  =OpenAIGPTTokenizer(self.vocab_file     ,      self.merges_file		)

       lowercase					:   Any				  ='''lower'''
       lowercase					:   Dict				  =['''low''', '''er</w>''']
       lowercase					:   int				  =tokenizer.tokenize(UpperCAmelCase		)
       self.assertListEqual(UpperCAmelCase     ,      UpperCAmelCase		)

       lowercase					:   Any				  =tokens + ['''<unk>''']
       lowercase					:   Tuple				  =[14, 15, 20]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase		)     ,      UpperCAmelCase		)






      def 				A__      ( self			:		Optional[Any]     ,      UpperCAmelCase			:		Dict=15		)  ->  Optional[int]:


       '''simple docstring'''

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

         # Simple input
         lowercase					:   str				  ='''This is a simple input'''
         lowercase					:   int				  =['''This is a simple input 1''', '''This is a simple input 2''']
         lowercase					:   Optional[int]				  =('''This is a simple input''', '''This is a pair''')
         lowercase					:   List[str]				  =[
             ('''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(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			:		Dict		)  ->  Union[str, Any]:


       '''simple docstring'''

       pass





@require_ftfy
@require_spacy
@require_tokenizers
class UpperCAmelCase_					(    __A				):




      """simple docstring"""




      pass











'''simple docstring'''



def 							lowercase_				(    __A :       float					,      __A :       int			)       ->      float:



 """simple docstring"""




 if digit_amount > 0:
  return round(number - int(__A			)					,      __A			)
 return number - int(__A			)


if __name__ == "__main__":
      print(decimal_isolate(1.53, 0))
      print(decimal_isolate(35.345, 1))
      print(decimal_isolate(35.345, 2))
      print(decimal_isolate(35.345, 3))
      print(decimal_isolate(-14.789, 3))
      print(decimal_isolate(0, 2))
      print(decimal_isolate(-14.123, 1))
      print(decimal_isolate(-14.123, 2))
      print(decimal_isolate(-14.123, 3))



