


import json
import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin

class 						A__							(		__lowercase   ,     unittest.TestCase  ):
						UpperCAmelCase             =						CTRLTokenizer
						UpperCAmelCase             =						False
						UpperCAmelCase             =						False




						def 							__UpperCamelCase				(       self					:      str  )							->     List[Any]:


										"""simple docstring"""





										super().setUp()

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

										_SCREAMING_SNAKE_CASE			  =os.path.join(self.tmpdirname				,    VOCAB_FILES_NAMES['''vocab_file''']  )
										_SCREAMING_SNAKE_CASE			  =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(_A  ) + '''\n'''  )
										with open(self.merges_file				,    '''w'''				,    encoding='''utf-8'''  ) as fp:
														fp.write('''\n'''.join(_A  )  )




						def 							__UpperCamelCase				(       self					:      int				,    **_a					:      List[Any]  )							->     List[str]:


										"""simple docstring"""





										kwargs.update(self.special_tokens_map  )
										return CTRLTokenizer.from_pretrained(self.tmpdirname				,    **_A  )




						def 							__UpperCamelCase				(       self					:      int				,    _a					:      int  )							->     List[str]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  ='''adapt react readapt apt'''
										_SCREAMING_SNAKE_CASE			  ='''adapt react readapt apt'''
										return input_text, output_text




						def 							__UpperCamelCase				(       self					:      Tuple  )							->     Optional[Any]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =CTRLTokenizer(self.vocab_file				,    self.merges_file				,    **self.special_tokens_map  )
										_SCREAMING_SNAKE_CASE			  ='''adapt react readapt apt'''
										_SCREAMING_SNAKE_CASE			  ='''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
										_SCREAMING_SNAKE_CASE			  =tokenizer.tokenize(_A  )
										self.assertListEqual(_A				,    _A  )

										_SCREAMING_SNAKE_CASE			  =tokens + [tokenizer.unk_token]

										_SCREAMING_SNAKE_CASE			  =[0, 1, 2, 4, 5, 1, 0, 3, 6]
										self.assertListEqual(tokenizer.convert_tokens_to_ids(_A  )				,    _A  )







from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


snake_case_						:			List[Any]													=							logging.get_logger(__name__)

snake_case_						:			Optional[Any]													=							'''T5Config'''

class 						A__							(		UpperCamelCase__  ):
						UpperCAmelCase             =						"mt5"
						UpperCAmelCase             =						MTaConfig

class 						A__							(		UpperCamelCase__  ):
						UpperCAmelCase             =						"mt5"
						UpperCAmelCase             =						MTaConfig

class 						A__							(		UpperCamelCase__  ):
						UpperCAmelCase             =						"mt5"
						UpperCAmelCase             =						MTaConfig