
import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class 		UpperCamelCase__  (	__lowercase   ,unittest.TestCase   ):
   _SCREAMING_SNAKE_CASE				:							List[Any]     	=				CTRLTokenizer
   _SCREAMING_SNAKE_CASE				:							Optional[Any]     	=				False
   _SCREAMING_SNAKE_CASE				:							List[Any]     	=				False
   def 				lowerCAmelCase      (self			: Dict       ):
    super().setUp()

    # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
    __a			:  Tuple		    =  ['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
    __a			:  List[Any]		    =  dict(zip(snake_case_ ,    range(len(snake_case_       )       )       )       )
    __a			:  Tuple		    =  ['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
    __a			:  Optional[int]		    =  {'''unk_token''': '''<unk>'''}

    __a			:  Dict		    =  os.path.join(self.tmpdirname ,    VOCAB_FILES_NAMES['''vocab_file''']       )
    __a			:  str		    =  os.path.join(self.tmpdirname ,    VOCAB_FILES_NAMES['''merges_file''']       )
    with open(self.vocab_file ,    '''w''' ,    encoding='''utf-8'''       ) as fp:
     fp.write(json.dumps(snake_case_       ) + '''\n'''       )
    with open(self.merges_file ,    '''w''' ,    encoding='''utf-8'''       ) as fp:
     fp.write('''\n'''.join(snake_case_       )       )
   def 				lowerCAmelCase      (self			: Any ,    **snake_case_			: Tuple       ):
    kwargs.update(self.special_tokens_map       )
    return CTRLTokenizer.from_pretrained(self.tmpdirname ,    **snake_case_       )
   def 				lowerCAmelCase      (self			: List[str] ,    snake_case_			: Tuple       ):
    __a			:  List[Any]		    =  '''adapt react readapt apt'''
    __a			:  Dict		    =  '''adapt react readapt apt'''
    return input_text, output_text







   def 				lowerCAmelCase      (self			: Union[str, Any]       ):
    __a			:  Any		    =  CTRLTokenizer(self.vocab_file ,    self.merges_file ,    **self.special_tokens_map       )
    __a			:  Dict		    =  '''adapt react readapt apt'''
    __a			:  int		    =  '''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
    __a			:  Optional[int]		    =  tokenizer.tokenize(snake_case_       )
    self.assertListEqual(snake_case_ ,    snake_case_       )

    __a			:  Tuple		    =  tokens + [tokenizer.unk_token]

    __a			:  List[Any]		    =  [0, 1, 2, 4, 5, 1, 0, 3, 6]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_       ) ,    snake_case_       )


from transformers import BertTokenizerFast

from .custom_tokenization import CustomTokenizer



class 		UpperCamelCase__  (	__lowercase   ):
   _SCREAMING_SNAKE_CASE				:							Union[str, Any]     	=				CustomTokenizer
   pass
