



"""simple docstring"""







import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin
class        __A       (	A_     ,unittest.TestCase    ):







		'''simple docstring'''





		lowerCAmelCase			:					int   	=				XLMTokenizer
		lowerCAmelCase			:					Tuple   	=				False







		def 					UpperCAmelCase    (	self						:  List[Any]						)					->		Union[str, Any]:






				"""simple docstring"""



				super().setUp()

				# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
				lowercase__   :    Dict				=			[
				    '''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__   :    Tuple				=			dict(zip(_snake_case			,range(len(_snake_case						)						)						)						)
				lowercase__   :    Any				=			['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

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







		def 					UpperCAmelCase    (	self						:  Optional[Any]			,_snake_case						:  Optional[Any]						)					->		List[str]:






				"""simple docstring"""



				lowercase__   :    List[str]				=			'''lower newer'''
				lowercase__   :    Optional[int]				=			'''lower newer'''
				return input_text, output_text







		def 					UpperCAmelCase    (	self						:  str						)					->		Tuple:






				"""simple docstring"""



				lowercase__   :    str				=			XLMTokenizer(self.vocab_file			,self.merges_file						)

				lowercase__   :    Tuple				=			'''lower'''
				lowercase__   :    List[Any]				=			['''low''', '''er</w>''']
				lowercase__   :    str				=			tokenizer.tokenize(_snake_case						)
				self.assertListEqual(_snake_case			,_snake_case						)

				lowercase__   :    Optional[int]				=			tokens + ['''<unk>''']
				lowercase__   :    Optional[int]				=			[14, 15, 20]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(_snake_case						)			,_snake_case						)







		@slow
		def 					UpperCAmelCase    (	self						:  Dict						)					->		Union[str, Any]:






				"""simple docstring"""



				lowercase__   :    Optional[int]				=			XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''						)

				lowercase__   :    str				=			tokenizer.encode('''sequence builders'''			,add_special_tokens=_snake_case						)
				lowercase__   :    List[Any]				=			tokenizer.encode('''multi-sequence build'''			,add_special_tokens=_snake_case						)

				lowercase__   :    Any				=			tokenizer.build_inputs_with_special_tokens(_snake_case						)
				lowercase__   :    Tuple				=			tokenizer.build_inputs_with_special_tokens(_snake_case			,_snake_case						)

				assert encoded_sentence == [0] + text + [1]
				assert encoded_pair == [0] + text + [1] + text_a + [1]





"""simple docstring"""







import warnings

from ...utils import logging
from .image_processing_mobilevit import MobileViTImageProcessor


lowerCAmelCase_   						=   logging.get_logger(__name__)
class        __A       (	A_    ):







		'''simple docstring'''





		def __init__(	self						:  Dict			,*_snake_case						:  Any			,**_snake_case						:  str						)					->		None:






				"""simple docstring"""



				warnings.warn(
				    '''The class MobileViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
				    ''' Please use MobileViTImageProcessor instead.'''			,_snake_case			,)
				super().__init__(*_snake_case			,**_snake_case						)
