

'''simple docstring'''

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 lowerCamelCase   :
				snake_case_							     = 42







class lowerCamelCase   (    unittest.TestCase				):

				def 					_lowerCamelCase    (       self )    ->							Union[str, Any]:
					snake_case							=					get_tests_dir('fixtures/test_sentencepiece.model' )
					snake_case							=					get_tests_dir('fixtures/test_sentencepiece_with_bytefallback.model' )

					snake_case							=					FakeOriginalTokenizer(vocab_file=lowercase_ )

					with warnings.catch_warnings(record=lowercase_ ) as w:
						snake_case							=					SpmConverter(lowercase_ )
					self.assertEqual(len(lowercase_ ),						0 )

					snake_case							=					FakeOriginalTokenizer(vocab_file=lowercase_ )

					with warnings.catch_warnings(record=lowercase_ ) as w:
						snake_case							=					SpmConverter(lowercase_ )
					self.assertEqual(len(lowercase_ ),						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						)


