


import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class    _a				(							_lowercase	,		unittest.TestCase):
	_a    :    Optional[int]        =				MPNetTokenizer
	_a    :    Dict        =				MPNetTokenizerFast
	_a    :    Dict        =				True
	_a    :    Dict        =				True




	def 				UpperCAmelCase__(   self		:						int						)->			List[Any]:
			super().setUp()

			lowerCAmelCase__  :     Dict       	=   [
			    '''[UNK]''',
			    '''[CLS]''',
			    '''[SEP]''',
			    '''[PAD]''',
			    '''[MASK]''',
			    '''want''',
			    '''##want''',
			    '''##ed''',
			    '''wa''',
			    '''un''',
			    '''runn''',
			    '''##ing''',
			    ''',''',
			    '''low''',
			    '''lowest''',
			]
			lowerCAmelCase__  :     str       	=   os.path.join(self.tmpdirname						,   VOCAB_FILES_NAMES['''vocab_file''']						)
			with open(self.vocab_file						,   '''w'''						,   encoding='''utf-8'''						) as vocab_writer:
					vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]						)						)




	def 				UpperCAmelCase__(   self		:						Any						,   _SCREAMING_SNAKE_CASE		:						int						)->			Tuple:
			lowerCAmelCase__  :     Dict       	=   '''UNwant\u00E9d,running'''
			lowerCAmelCase__  :     Optional[int]       	=   '''unwanted, running'''
			return input_text, output_text




	def 				UpperCAmelCase__(   self		:						int						)->			Any:
			lowerCAmelCase__  :     List[str]       	=   self.tokenizer_class(self.vocab_file						)

			lowerCAmelCase__  :     Union[str, Any]       	=   tokenizer.tokenize('''UNwant\u00E9d,running'''						)
			self.assertListEqual(_SCREAMING_SNAKE_CASE						,   ['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']						)
			self.assertListEqual(tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE						)						,   [9, 6, 7, 12, 10, 11]						)




	@slow
	def 				UpperCAmelCase__(   self		:						Optional[Any]						)->			Tuple:
			lowerCAmelCase__  :     Any       	=   self.tokenizer_class.from_pretrained('''microsoft/mpnet-base'''						)

			lowerCAmelCase__  :     Optional[Any]       	=   tokenizer.encode('''sequence builders'''						,   add_special_tokens=_SCREAMING_SNAKE_CASE						)
			lowerCAmelCase__  :     Dict       	=   tokenizer.encode('''multi-sequence build'''						,   add_special_tokens=_SCREAMING_SNAKE_CASE						)

			lowerCAmelCase__  :     Dict       	=   tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE						)
			lowerCAmelCase__  :     Tuple       	=   tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE						,   _SCREAMING_SNAKE_CASE						)

			assert encoded_sentence == [0] + text + [2]
			assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]








import warnings

from ...utils import logging
from .image_processing_maskformer import MaskFormerImageProcessor


lowerCamelCase		=						logging.get_logger(__name__)





class    _a				(							_lowercase):




	def __init__(   self		:						Any						,   *_SCREAMING_SNAKE_CASE		:						int						,   **_SCREAMING_SNAKE_CASE		:						Dict						)->			None:
			warnings.warn(
			    '''The class MaskFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
			    ''' Please use MaskFormerImageProcessor instead.'''						,   _SCREAMING_SNAKE_CASE						,   )
			super().__init__(*_SCREAMING_SNAKE_CASE						,   **_SCREAMING_SNAKE_CASE						)




