

"""simple docstring"""




from __future__ import annotations

from typing import Any





class 			__UpperCamelCase :


		def __init__(self :		int     ,     __SCREAMING_SNAKE_CASE :		Any     ,     __SCREAMING_SNAKE_CASE :		Any):  # noqa: A002
							A			=					item
							A			=					next





class 			__UpperCamelCase :


		def __init__(self :		Optional[int]):
							A			=					None
							A			=					0


		def 					SCREAMING_SNAKE_CASE__   (self :		int     ,     __SCREAMING_SNAKE_CASE :		Any):
							A			=					Node(A__     ,     self.head)
							self.size += 1


		def 					SCREAMING_SNAKE_CASE__   (self :		List[str]):
							# Switched 'self.is_empty()' to 'self.head is None'
							# because mypy was considering the possibility that 'self.head'
							# can be None in below else part and giving error
							if self.head is None:
												return None
							else:
												A			=					self.head.item
												A			=					self.head.next
												self.size -= 1
												return item


		def 					SCREAMING_SNAKE_CASE__   (self :		str):
							return self.head is None


		def __str__(self :		List[str]):
							if self.is_empty():
												return ""
							else:
												A			=					self.head
												A			=					""
												A			=					[]
												while iterate:
																	item_list.append(str(iterate.item))
																	A			=					iterate.next

												A			=					" --> ".join(A__)

												return item_str


		def __len__(self :		List[Any]):
							return self.size











import unittest

from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
from transformers.utils import cached_property






class 	A	(						unittest.TestCase						):
     """simple docstring"""

     @cached_property
     def        __snake_case      (			self     :      Union[str, Any]	) ->				str:
           return BlenderbotTokenizer.from_pretrained('facebook/blenderbot-3B'	)




     @cached_property
     def        __snake_case      (			self     :      Tuple	) ->				Dict:
           return BlenderbotTokenizerFast.from_pretrained('facebook/blenderbot-3B'	)




     def        __snake_case      (			self     :      List[str]	) ->				int:
           lowerCamelCase__					     = self.tokenizer_ab
           lowerCamelCase__					     = ' I am a small frog.'
           lowerCamelCase__					     = tok([src_text]		,     padding=A__		,     truncation=A__	)['input_ids']
           lowerCamelCase__					     = tok.batch_decode(A__		,     skip_special_tokens=A__		,     clean_up_tokenization_spaces=A__	)[0]
           assert src_text == decoded




     def        __snake_case      (			self     :      List[str]	) ->				str:
           lowerCamelCase__					     = self.rust_tokenizer_ab
           lowerCamelCase__					     = ' I am a small frog.'
           lowerCamelCase__					     = tok([src_text]		,     padding=A__		,     truncation=A__	)['input_ids']
           lowerCamelCase__					     = tok.batch_decode(A__		,     skip_special_tokens=A__		,     clean_up_tokenization_spaces=A__	)[0]
           assert src_text == decoded




     def        __snake_case      (			self     :      Any	) ->				str:
           assert self.tokenizer_ab.add_prefix_space
           assert self.tokenizer_ab([' Sam', 'Sam']	).input_ids == [[5_5_0_2, 2], [5_5_0_2, 2]]




     def        __snake_case      (			self     :      str	) ->				Union[str, Any]:
           assert self.rust_tokenizer_ab.add_prefix_space
           assert self.rust_tokenizer_ab([' Sam', 'Sam']	).input_ids == [[5_5_0_2, 2], [5_5_0_2, 2]]