
"""simple docstring"""




from transformers.models.cpm.tokenization_cpm import CpmTokenizer
from transformers.testing_utils import custom_tokenizers

from ..xlnet.test_modeling_xlnet import XLNetModelTest

@custom_tokenizers
class 		a__						(				a_						):
			def       __magic_name__      (      self     ,   _a     ,   _a     ,   _a     ,   _a     ,   _a    ):
										return True

			def       __magic_name__      (      self    ):
										lowercase   :    Optional[int]			=							CpmTokenizer.from_pretrained("TsinghuaAI/CPM-Generate"    )
										lowercase   :    List[str]			=							"Hugging Face大法好，谁用谁知道。"
										lowercase   :    Union[str, Any]			=							"Hugging Face大法好,谁用谁知道。<unk>"
										lowercase   :    Dict			=							"▁Hu gg ing ▁ ▂ ▁F ace ▁大法 ▁好 ▁ , ▁谁 ▁用 ▁谁 ▁知 道 ▁ 。".split()

										lowercase   :    Any			=							tokenizer.tokenize(_a    )
										self.assertListEqual(_a     ,   _a    )

										lowercase   :    Tuple			=							tokens + [tokenizer.unk_token]

										lowercase   :    Optional[Any]			=							[13_789, 13_283, 1_421, 8, 10, 1_164, 13_608, 16_528, 63, 8, 9, 440, 108, 440, 121, 90, 8, 12, 0]
										self.assertListEqual(tokenizer.convert_tokens_to_ids(_a    )     ,   _a    )

										lowercase   :    List[str]			=							tokenizer.decode(_a    )
										self.assertEqual(_a     ,   _a    )




"""simple docstring"""




import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


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

class 		a__						(				a_						):
   def __init__(      self     ,   *_a     ,   **_a    ):
          warnings.warn(
              "The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
              " Please use ConvNextImageProcessor instead."     ,   _a     ,   )
          super().__init__(*_a     ,   **_a    )


