'''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 re







def __UpperCamelCase(   _A					:				str    ):
   '''simple docstring'''

   if len(re.findall('''[ATCG]'''  ,			_A    )    ) != len(_A    ):
      raise ValueError('''Invalid Strand'''    )

   return dna.translate(dna.maketrans('''ATCG'''  ,			'''TAGC'''    )    )


if __name__ == "__main__":
  import doctest

  doctest.testmod()




