"""simple docstring"""



import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class 	a					(       a_,    unittest.TestCase     ):
    UpperCAmelCase_			:					Optional[Any]     					=MPNetTokenizer
    UpperCAmelCase_			:					List[str]     					=MPNetTokenizerFast
    UpperCAmelCase_			:					Union[str, Any]     					=True
    UpperCAmelCase_			:					Union[str, Any]     					=True







    def       UpperCamelCase_				(      self	):
      super().setUp()

      lowercase							   =	[
          '[UNK]',
          '[CLS]',
          '[SEP]',
          '[PAD]',
          '[MASK]',
          'want',
          '##want',
          '##ed',
          'wa',
          'un',
          'runn',
          '##ing',
          ',',
          'low',
          'lowest',
      ]
      lowercase							   =	os.path.join(self.tmpdirname							,		VOCAB_FILES_NAMES['vocab_file']	)
      with open(self.vocab_file							,		'w'							,		encoding='utf-8'	) as vocab_writer:
        vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]	)	)







    def       UpperCamelCase_				(      self							,		_lowerCamelCase	):
      lowercase							   =	'UNwant\u00E9d,running'
      lowercase							   =	'unwanted, running'
      return input_text, output_text







    def       UpperCamelCase_				(      self	):
      lowercase							   =	self.tokenizer_class(self.vocab_file	)

      lowercase							   =	tokenizer.tokenize('UNwant\u00E9d,running'	)
      self.assertListEqual(_lowerCamelCase							,		['un', '##want', '##ed', ',', 'runn', '##ing']	)
      self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase	)							,		[9, 6, 7, 1_2, 1_0, 1_1]	)







    @slow
    def       UpperCamelCase_				(      self	):
      lowercase							   =	self.tokenizer_class.from_pretrained('microsoft/mpnet-base'	)

      lowercase							   =	tokenizer.encode('sequence builders'							,		add_special_tokens=_lowerCamelCase	)
      lowercase							   =	tokenizer.encode('multi-sequence build'							,		add_special_tokens=_lowerCamelCase	)

      lowercase							   =	tokenizer.build_inputs_with_special_tokens(_lowerCamelCase	)
      lowercase							   =	tokenizer.build_inputs_with_special_tokens(_lowerCamelCase							,		_lowerCamelCase	)

      assert encoded_sentence == [0] + text + [2]
      assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]










"""simple docstring"""



def 						_SCREAMING_SNAKE_CASE			(   __snake_case      :  str   ):





  '''simple docstring'''





  lowercase							   =	len(__snake_case   )
  lowercase							   =	[0] * length
  lowercase							   =	[[False for i in range(__snake_case   )] for j in range(__snake_case   )]
  for i, c in enumerate(__snake_case   ):
    lowercase							   =	i
    for j in range(i + 1   ):
      if c == string[j] and (i - j < 2 or is_palindromic[j + 1][i - 1]):
        lowercase							   =	True
        lowercase							   =	min(__snake_case		, 0 if j == 0 else (cut[j - 1] + 1)   )
    lowercase							   =	mincut
  return cut[length - 1]


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


