






from __future__ import annotations

from typing import Any






class  UpperCamelCase    :


 def __init__(  self	:		str							,		UpperCAmelCase__	:		List[str]							,		UpperCAmelCase__	:		str							)      -> None:  # noqa: A002
   _a						: str    =			item
   _a						: List[Any]    =			next







class  UpperCamelCase    :


 def __init__(  self	:		Optional[Any]							)      -> None:
   _a						: Any    =			None
   _a						: Union[str, Any]    =			0


 def _lowercase			(  self	:		str							,		UpperCAmelCase__	:		Optional[int]							)      -> None:
   _a						: Tuple    =			Node(UpperCAmelCase__							,		self.head							)
   self.size += 1


 def _lowercase			(  self	:		Any							)      -> Any:
   # 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						: str    =			self.head.item
     _a						: int    =			self.head.next
     self.size -= 1
     return item


 def _lowercase			(  self	:		str							)      -> bool:
   return self.head is None


 def __str__(  self	:		Optional[int]							)      -> str:
   if self.is_empty():
     return ""
   else:
     _a						: List[str]    =			self.head
     _a						: Optional[Any]    =			""""""
     _a						: int    =			[]
     while iterate:
       item_list.append(str(iterate.item							)							)
       _a						: Any    =			iterate.next

     _a						: List[str]    =			""" --> """.join(UpperCAmelCase__							)

     return item_str







 def __len__(  self	:		Optional[Any]							)      -> int:
   return self.size









"""simple docstring"""




# this script builds a small sample spm file tests/fixtures/test_sentencepiece_no_bos.model, with features needed by pegasus

# 1. pip install sentencepiece
#
# 2. wget https://raw.githubusercontent.com/google/sentencepiece/master/data/botchan.txt

# 3. build
import sentencepiece as spm

# pegasus:
# 1. no bos
# 2. eos_id is 1
# 3. unk_id is 2
# build a sample spm file accordingly
spm.SentencePieceTrainer.train(
    '--input=botchan.txt --model_prefix=test_sentencepiece_no_bos --bos_id=-1 --unk_id=2  --eos_id=1  --vocab_size=1000'
)

# 4. now update the fixture
# mv test_sentencepiece_no_bos.model ../../tests/fixtures/

