





'''simple docstring'''



def    _lowerCAmelCase						(				lowerCamelCase_			:  int				):
			if not isinstance(lowerCamelCase_		,       lowerCamelCase_				):
						raise ValueError('''check_bouncy() accepts only integer arguments'''				)
			__lowercase										=							str(lowerCamelCase_				)
			__lowercase										=							''''''.join(sorted(lowerCamelCase_				)				)
			return sorted_str_n != str_n and sorted_str_n[::-1] != str_n




def    _lowerCAmelCase						(				lowerCamelCase_			:  float = 9_9				):
			if not 0 < percent < 1_0_0:
						raise ValueError('''solution() only accepts values from 0 to 100'''				)
			__lowercase										=							0
			__lowercase										=							1

			while True:
						if check_bouncy(lowerCamelCase_				):
									bouncy_num += 1
						if (bouncy_num / num) * 1_0_0 >= percent:
									return num
						num += 1


if __name__ == "__main__":
	from doctest import testmod

	testmod()
	print(f'''{solution(9_9)}''')












'''simple docstring'''



import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


_SCREAMING_SNAKE_CASE					=    logging.get_logger(__name__)






class 							__lowercase       (      lowerCAmelCase__						):







	'''simple docstring'''

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







				'''simple docstring'''





				warnings.warn(
				    '''The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
				    ''' use GLPNImageProcessor instead.'''     ,_lowerCamelCase     ,)
				super().__init__(*_lowerCamelCase     ,**_lowerCamelCase )





