

'''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 ),						)







"""simple docstring"""





def       __a	(						__lowerCamelCase    ):
   for i, _ in enumerate(__lowerCamelCase    ):
      if (i % 2 == 1) == (nums[i - 1] > nums[i]):
         UpperCAmelCase_	,  UpperCAmelCase_   :   List[Any]     	=       nums[i], nums[i - 1]

   return nums


if __name__ == "__main__":
    print('Enter the array elements:')
    _a									=				list(map(int, input().split()))
    print('The unsorted array is:')
    print(array)
    print('Array after Wiggle sort:')
    print(wiggle_sort(array))


