


"""simple docstring"""


import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class   _UpperCamelCase  (   lowerCAmelCase__       ,unittest.TestCase		):
							'''simple docstring'''







							__UpperCAmelCase						:    Any				      =LxmertTokenizer
							__UpperCAmelCase						:    Optional[int]				      =LxmertTokenizerFast
							__UpperCAmelCase						:    int				      =True
							__UpperCAmelCase						:    Dict				      =True

							def 			snake_case				(     self	):
										super().setUp()

										__lowerCAmelCase				    =			[
										    "[UNK]",
										    "[CLS]",
										    "[SEP]",
										    "want",
										    "##want",
										    "##ed",
										    "wa",
										    "un",
										    "runn",
										    "##ing",
										    ",",
										    "low",
										    "lowest",
										]
										__lowerCAmelCase				    =			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 			snake_case				(     self    ,   __a	):
										__lowerCAmelCase				    =			"UNwant\u00E9d,running"
										__lowerCAmelCase				    =			"unwanted, running"
										return input_text, output_text

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			self.tokenizer_class(self.vocab_file	)

										__lowerCAmelCase				    =			tokenizer.tokenize("UNwant\u00E9d,running"	)
										self.assertListEqual(__a    ,   ["un", "##want", "##ed", ",", "runn", "##ing"]	)
										self.assertListEqual(tokenizer.convert_tokens_to_ids(__a	)    ,   [7, 4, 5, 10, 8, 9]	)



							def 			snake_case				(     self	):
										if not self.test_rust_tokenizer:
													return

										__lowerCAmelCase				    =			self.get_tokenizer()
										__lowerCAmelCase				    =			self.get_rust_tokenizer()

										__lowerCAmelCase				    =			"I was born in 92000, and this is falsé."

										__lowerCAmelCase				    =			tokenizer.tokenize(__a	)
										__lowerCAmelCase				    =			rust_tokenizer.tokenize(__a	)
										self.assertListEqual(__a    ,   __a	)

										__lowerCAmelCase				    =			tokenizer.encode(__a    ,   add_special_tokens=__a	)
										__lowerCAmelCase				    =			rust_tokenizer.encode(__a    ,   add_special_tokens=__a	)
										self.assertListEqual(__a    ,   __a	)

										__lowerCAmelCase				    =			self.get_rust_tokenizer()
										__lowerCAmelCase				    =			tokenizer.encode(__a	)
										__lowerCAmelCase				    =			rust_tokenizer.encode(__a	)
										self.assertListEqual(__a    ,   __a	)










import warnings

from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor


lowerCamelCase__ :   List[str]					=							logging.get_logger(__name__)





class        lowerCamelCase_							(      _SCREAMING_SNAKE_CASE					):


 '''simple docstring'''







 def __init__(							self  :		str				,				*_lowerCAmelCase  :		Optional[Any]				,				**_lowerCAmelCase  :		Optional[Any]						):
       warnings.warn(
           'The class ImageGPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
           ' Please use ImageGPTImageProcessor instead.'				,				_lowerCAmelCase				,				)
       super().__init__(*_lowerCAmelCase				,				**_lowerCAmelCase						)