





'''simple docstring'''




def      __lowerCamelCase       (	__lowerCAmelCase    :				List[str]						)						->   int:
   snake_case      		=					len(__lowerCAmelCase						)
   snake_case      		=					[0] * length
   snake_case      		=					[[False for i in range(__lowerCAmelCase						)] for j in range(__lowerCAmelCase						)]
   for i, c in enumerate(__lowerCAmelCase						):
      snake_case      		=					i
      for j in range(i + 1						):
         if c == string[j] and (i - j < 2 or is_palindromic[j + 1][i - 1]):
            snake_case      		=					True
            snake_case      		=					min(__lowerCAmelCase	,  0 if j == 0 else (cut[j - 1] + 1)						)
      snake_case      		=					mincut
   return cut[length - 1]


if __name__ == "__main__":
 _SCREAMING_SNAKE_CASE							=       input("Enter the string: ").strip()
 _SCREAMING_SNAKE_CASE							=       find_minimum_partitions(s)
 print(F"""Minimum number of partitions required for the '{s}' is {ans}""")





'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


__UpperCAmelCase    				=							logging.get_logger(__name__)




class 		a__				(							a__  ):





							'''simple docstring'''






							def __init__(		self					,    *lowerCamelCase_					,    **lowerCamelCase_   )       ->							None:
														warnings.warn(
														    '''The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
														    ''' Please use MobileNetV2ImageProcessor instead.'''					,    lowerCamelCase_					,    )
														super().__init__(*lowerCamelCase_					,    **lowerCamelCase_   )