from transformers.models.cpm.tokenization_cpm import CpmTokenizer
from transformers.testing_utils import custom_tokenizers

from ..xlnet.test_modeling_xlnet import XLNetModelTest

@custom_tokenizers
class 						_SCREAMING_SNAKE_CASE				(  _lowercase				):






		"""simple docstring"""







		def 					_a					(      self     :					Any	,       __SCREAMING_SNAKE_CASE     :					Optional[Any]	,       __SCREAMING_SNAKE_CASE     :					Optional[int]	,       __SCREAMING_SNAKE_CASE     :					int	,       __SCREAMING_SNAKE_CASE     :					Optional[int]	,       __SCREAMING_SNAKE_CASE     :					int ):






					"""simple docstring"""
					return True







		def 					_a					(      self     :					List[str] ):






					"""simple docstring"""
					_snake_case														=   CpmTokenizer.from_pretrained("TsinghuaAI/CPM-Generate" )
					_snake_case														=   "Hugging Face大法好，谁用谁知道。"
					_snake_case														=   "Hugging Face大法好,谁用谁知道。<unk>"
					_snake_case														=   "▁Hu gg ing ▁ ▂ ▁F ace ▁大法 ▁好 ▁ , ▁谁 ▁用 ▁谁 ▁知 道 ▁ 。".split()

					_snake_case														=   tokenizer.tokenize(__SCREAMING_SNAKE_CASE )
					self.assertListEqual(__SCREAMING_SNAKE_CASE	,       __SCREAMING_SNAKE_CASE )

					_snake_case														=   tokens + [tokenizer.unk_token]

					_snake_case														=   [13_789, 13_283, 1_421, 8, 10, 1_164, 13_608, 16_528, 63, 8, 9, 440, 108, 440, 121, 90, 8, 12, 0]
					self.assertListEqual(tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE )	,       __SCREAMING_SNAKE_CASE )

					_snake_case														=   tokenizer.decode(__SCREAMING_SNAKE_CASE )
					self.assertEqual(__SCREAMING_SNAKE_CASE	,       __SCREAMING_SNAKE_CASE )


def  UpperCAmelCase__(    lowerCamelCase_	):



			"""simple docstring"""





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

