
import unittest
import warnings
from dataclasses import dataclass

from transformers.convert_slow_tokenizer import SpmConverter
from transformers.testing_utils import get_tests_dir






@dataclass
class UpperCAmelCase  :





   '''simple docstring'''
   __UpperCamelCase						:       Optional[int]												=       42






class UpperCAmelCase  (		unittest.TestCase  ):





   '''simple docstring'''


   def 					__magic_name__							(   self	:				Union[str, Any]	):

      """simple docstring"""
      _A:    List[str]						     =			get_tests_dir('''fixtures/test_sentencepiece.model'''	)
      _A:    List[str]						     =			get_tests_dir('''fixtures/test_sentencepiece_with_bytefallback.model'''	)

      _A:    int						     =			FakeOriginalTokenizer(vocab_file=__lowerCamelCase	)

      with warnings.catch_warnings(record=__lowerCamelCase	) as w:
         _A:    str						     =			SpmConverter(__lowerCamelCase	)
      self.assertEqual(len(__lowerCamelCase	)     ,     0	)

      _A:    Optional[int]						     =			FakeOriginalTokenizer(vocab_file=__lowerCamelCase	)

      with warnings.catch_warnings(record=__lowerCamelCase	) as w:
         _A:    Optional[Any]						     =			SpmConverter(__lowerCamelCase	)
      self.assertEqual(len(__lowerCamelCase	)     ,     1	)

      self.assertIn(
          '''The sentencepiece tokenizer that you are converting to a fast tokenizer uses the byte fallback option'''
          ''' which is not implemented in the fast tokenizers.'''     ,     str(w[0].message	)     ,     )




import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


__lowerCAmelCase    :  Tuple										= logging.get_logger(__name__)
class 				lowerCamelCase			(							__snake_case					):






      def __init__(      self  ,		*__lowerCamelCase  ,		**__lowerCamelCase						)     ->				None:


          '''simple docstring'''







          warnings.warn(
              """The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
              """ Please use ConditionalDetrImageProcessor instead."""  ,		__lowerCamelCase  ,		)
          super().__init__(*__lowerCamelCase  ,		**__lowerCamelCase						)


