


'''simple docstring'''

import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_rjieba
@require_tokenizers
class _lowerCamelCase	(						lowercase__		,					unittest.TestCase							):



		'''simple docstring'''







		A_     :      Union[str, Any]				   =    RoFormerTokenizer
		A_     :      str				   =    RoFormerTokenizerFast
		A_     :      Optional[Any]				   =    True
		A_     :      List[str]				   =    True







		def        __lowerCAmelCase		( self		:						Union[str, Any]      )  ->			Any:
			super().setUp()







		def        __lowerCAmelCase		( self		:						Any  ,					**_A		:						Any      )  ->			List[Any]:
			return self.tokenizer_class.from_pretrained('junnyu/roformer_chinese_base'  ,					**_A      )







		def        __lowerCAmelCase		( self		:						int  ,					**_A		:						Tuple      )  ->			List[Any]:
			return self.rust_tokenizer_class.from_pretrained('junnyu/roformer_chinese_base'  ,					**_A      )







		def        __lowerCAmelCase		( self		:						int      )  ->			Tuple:
			__magic_name__	:   int					     =					'永和服装饰品有限公司,今天天气非常好'
			__magic_name__	:   Optional[Any]					     =					'永和 服装 饰品 有限公司 , 今 天 天 气 非常 好'
			return input_text, output_text







		def        __lowerCAmelCase		( self		:						List[Any]      )  ->			List[str]:
			__magic_name__	:   str					     =					self.get_tokenizer()
			__magic_name__     ,    __magic_name__	:   Dict					     =					self.get_chinese_input_output_texts()
			__magic_name__	:   Tuple					     =					tokenizer.tokenize(_A      )

			self.assertListEqual(_A  ,					output_text.split()      )

			__magic_name__	:   Optional[int]					     =					tokens + [tokenizer.unk_token]
			__magic_name__	:   Union[str, Any]					     =					[22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
			self.assertListEqual(tokenizer.convert_tokens_to_ids(_A      )  ,					_A      )







		def        __lowerCAmelCase		( self		:						Optional[int]      )  ->			str:
			__magic_name__	:   Union[str, Any]					     =					self.get_rust_tokenizer()
			__magic_name__     ,    __magic_name__	:   List[Any]					     =					self.get_chinese_input_output_texts()
			__magic_name__	:   Dict					     =					tokenizer.tokenize(_A      )
			self.assertListEqual(_A  ,					output_text.split()      )
			__magic_name__	:   List[Any]					     =					tokens + [tokenizer.unk_token]
			__magic_name__	:   Dict					     =					[22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
			self.assertListEqual(tokenizer.convert_tokens_to_ids(_A      )  ,					_A      )







		def        __lowerCAmelCase		( self		:						Tuple      )  ->			int:
			pass







		def        __lowerCAmelCase		( self		:						Union[str, Any]      )  ->			Tuple:
			pass







		def        __lowerCAmelCase		( self		:						List[Any]      )  ->			Tuple:
			pass



'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


lowerCAmelCase				:Tuple        =      logging.get_logger(__name__)
class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		def __init__( self		:						Any  ,					*_A		:						List[Any]  ,					**_A		:						str      )  ->			None:
			warnings.warn(
			    'The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
			    ' use BeitImageProcessor instead.'  ,					_A  ,					)
			super().__init__(*_A  ,					**_A      )