from collections.abc import Callable


class 	lowerCamelCase_     :






    '''simple docstring'''






    def __init__(	self , __lowercase = None)       ->	None:
        # Stores actual heap items.
        __UpperCamelCase     :list			  =		[]
        # Stores indexes of each item for supporting updates and deletion.
        __UpperCamelCase     :dict			  =		{}
        # Stores current size of heap.
        __UpperCamelCase     :str			  =		0
        # Stores function used to evaluate the score of an item on which basis ordering
        # will be done.
        __UpperCamelCase     :int			  =		key or (lambda __lowercase: x)







    def 			UpperCamelCase__   (	self , __lowercase)       ->	int | None:
        return int((i - 1) / 2) if i > 0 else None







    def 			UpperCamelCase__   (	self , __lowercase)       ->	int | None:
        __UpperCamelCase     :Union[str, Any]			  =		int(2 * i + 1)
        return left if 0 < left < self.size else None







    def 			UpperCamelCase__   (	self , __lowercase)       ->	int | None:
        __UpperCamelCase     :Optional[int]			  =		int(2 * i + 2)
        return right if 0 < right < self.size else None







    def 			UpperCamelCase__   (	self , __lowercase , __lowercase)       ->	None:
        __UpperCamelCase  ,       __UpperCamelCase     :Optional[int]			  =		(
            self.pos_map[self.arr[j][0]],
            self.pos_map[self.arr[i][0]],
        )
        # Then swap the items in the list.
        __UpperCamelCase  ,       __UpperCamelCase     :List[Any]			  =		self.arr[j], self.arr[i]







    def 			UpperCamelCase__   (	self , __lowercase , __lowercase)       ->	bool:
        return self.arr[i][1] < self.arr[j][1]







    def 			UpperCamelCase__   (	self , __lowercase)       ->	int:
        __UpperCamelCase     :List[str]			  =		self._left(__lowercase)
        __UpperCamelCase     :Tuple			  =		self._right(__lowercase)
        __UpperCamelCase     :List[str]			  =		i

        if left is not None and not self._cmp(__lowercase , __lowercase):
            __UpperCamelCase     :Optional[Any]			  =		left
        if right is not None and not self._cmp(__lowercase , __lowercase):
            __UpperCamelCase     :Optional[Any]			  =		right

        return valid_parent







    def 			UpperCamelCase__   (	self , __lowercase)       ->	None:
        __UpperCamelCase     :Optional[int]			  =		self._parent(__lowercase)
        while parent is not None and not self._cmp(__lowercase , __lowercase):
            self._swap(__lowercase , __lowercase)
            __UpperCamelCase  ,       __UpperCamelCase     :Union[str, Any]			  =		parent, self._parent(__lowercase)







    def 			UpperCamelCase__   (	self , __lowercase)       ->	None:
        __UpperCamelCase     :List[str]			  =		self._get_valid_parent(__lowercase)
        while valid_parent != index:
            self._swap(__lowercase , __lowercase)
            __UpperCamelCase  ,       __UpperCamelCase     :Dict			  =		valid_parent, self._get_valid_parent(__lowercase)







    def 			UpperCamelCase__   (	self , __lowercase , __lowercase)       ->	None:
        if item not in self.pos_map:
            return
        __UpperCamelCase     :Any			  =		self.pos_map[item]
        __UpperCamelCase     :Union[str, Any]			  =		[item, self.key(__lowercase)]
        # Make sure heap is right in both up and down direction.
        # Ideally only one of them will make any change.
        self._heapify_up(__lowercase)
        self._heapify_down(__lowercase)







    def 			UpperCamelCase__   (	self , __lowercase)       ->	None:
        if item not in self.pos_map:
            return
        __UpperCamelCase     :Any			  =		self.pos_map[item]
        del self.pos_map[item]
        __UpperCamelCase     :Any			  =		self.arr[self.size - 1]
        __UpperCamelCase     :Optional[int]			  =		index
        self.size -= 1
        # Make sure heap is right in both up and down direction. Ideally only one
        # of them will make any change- so no performance loss in calling both.
        if self.size > index:
            self._heapify_up(__lowercase)
            self._heapify_down(__lowercase)







    def 			UpperCamelCase__   (	self , __lowercase , __lowercase)       ->	None:
        __UpperCamelCase     :Optional[Any]			  =		len(self.arr)
        if arr_len == self.size:
            self.arr.append([item, self.key(__lowercase)])
        else:
            __UpperCamelCase     :Optional[Any]			  =		[item, self.key(__lowercase)]
        __UpperCamelCase     :List[Any]			  =		self.size
        self.size += 1
        self._heapify_up(self.size - 1)







    def 			UpperCamelCase__   (	self)       ->	tuple | None:
        return self.arr[0] if self.size else None







    def 			UpperCamelCase__   (	self)       ->	tuple | None:
        __UpperCamelCase     :Any			  =		self.get_top()
        if top_item_tuple:
            self.delete_item(top_item_tuple[0])
        return top_item_tuple



def lowerCamelCase  (   ):
    '''simple docstring'''









if __name__ == "__main__":
    import doctest

    doctest.testmod()











import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__lowerCAmelCase		:				str       			=		logging.get_logger(__name__)

__lowerCAmelCase		:				Dict       			=		{'vocab_file': 'spiece.model'}

__lowerCAmelCase		:				Optional[int]       			=		{
    'vocab_file': {
        'bert_for_seq_generation': (
            'https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model'
        ),
    }
}

__lowerCAmelCase		:				Dict       			=		{'bert_for_seq_generation': 512}




class     snake_case__							(_UpperCamelCase   ):
				"""simple docstring"""



				SCREAMING_SNAKE_CASE_       :							Any							 =					VOCAB_FILES_NAMES
				SCREAMING_SNAKE_CASE_       :							Union[str, Any]							 =					PRETRAINED_VOCAB_FILES_MAP
				SCREAMING_SNAKE_CASE_       :							int							 =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				SCREAMING_SNAKE_CASE_       :							List[int]							 =					[]
				SCREAMING_SNAKE_CASE_       :							Optional[Any]							 =					["""input_ids""", """attention_mask"""]





				def __init__(      self				:     List[Any]					,      __lowerCamelCase				:     Tuple					,      __lowerCamelCase				:     str="<s>"					,      __lowerCamelCase				:     Optional[int]="</s>"					,      __lowerCamelCase				:     int="<unk>"					,      __lowerCamelCase				:     List[str]="<pad>"					,      __lowerCamelCase				:     Union[str, Any]="<::::>"					,      __lowerCamelCase				:     Optional[Dict[str, Any]] = None					,      **__lowerCamelCase				:     List[str]					,      )					->     None:
							a    =			{} if sp_model_kwargs is None else sp_model_kwargs

							# Add extra_ids to the special token list
							super().__init__(
							    bos_token=__lowerCamelCase					,      eos_token=__lowerCamelCase					,      unk_token=__lowerCamelCase					,      pad_token=__lowerCamelCase					,      sep_token=__lowerCamelCase					,      sp_model_kwargs=self.sp_model_kwargs					,      **__lowerCamelCase					,      )

							a    =			vocab_file

							a    =			spm.SentencePieceProcessor(**self.sp_model_kwargs							)
							self.sp_model.Load(__lowerCamelCase							)





				@property
				def 							__UpperCAmelCase							(      self				:     Dict							)					->     Dict:
							return self.sp_model.get_piece_size()





				def 							__UpperCAmelCase							(      self				:     Tuple							)					->     Optional[int]:
							a    =			{self.convert_ids_to_tokens(__lowerCamelCase							): i for i in range(self.vocab_size							)}
							vocab.update(self.added_tokens_encoder							)
							return vocab





				def __getstate__(      self				:     Dict							)					->     Optional[Any]:
							a    =			self.__dict__.copy()
							a    =			None
							return state





				def __setstate__(      self				:     Optional[Any]					,      __lowerCamelCase				:     Dict							)					->     Optional[Any]:
							a    =			d

							# for backward compatibility
							if not hasattr(self					,      "sp_model_kwargs"							):
										a    =			{}

							a    =			spm.SentencePieceProcessor(**self.sp_model_kwargs							)
							self.sp_model.Load(self.vocab_file							)





				def 							__UpperCAmelCase							(      self				:     Union[str, Any]					,      __lowerCamelCase				:     str							)					->     List[str]:
							return self.sp_model.encode(__lowerCamelCase					,      out_type=__lowerCamelCase							)





				def 							__UpperCAmelCase							(      self				:     str					,      __lowerCamelCase				:     Union[str, Any]							)					->     int:
							return self.sp_model.piece_to_id(__lowerCamelCase							)





				def 							__UpperCAmelCase							(      self				:     Tuple					,      __lowerCamelCase				:     List[str]							)					->     Any:
							a    =			self.sp_model.IdToPiece(__lowerCamelCase							)
							return token





				def 							__UpperCAmelCase							(      self				:     Any					,      __lowerCamelCase				:     Dict							)					->     Any:
							a    =			[]
							a    =			""
							for token in tokens:
										# make sure that special tokens are not decoded using sentencepiece model
										if token in self.all_special_tokens:
													out_string += self.sp_model.decode(__lowerCamelCase							) + token
													a    =			[]
										else:
													current_sub_tokens.append(__lowerCamelCase							)
							out_string += self.sp_model.decode(__lowerCamelCase							)
							return out_string.strip()





				def 							__UpperCAmelCase							(      self				:     Dict					,      __lowerCamelCase				:     str					,      __lowerCamelCase				:     Optional[str] = None							)					->     Tuple[str]:
							if not os.path.isdir(__lowerCamelCase							):
										logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""							)
										return
							a    =			os.path.join(
							    __lowerCamelCase					,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]							)

							if os.path.abspath(self.vocab_file							) != os.path.abspath(__lowerCamelCase							) and os.path.isfile(self.vocab_file							):
										copyfile(self.vocab_file					,      __lowerCamelCase							)
							elif not os.path.isfile(self.vocab_file							):
										with open(__lowerCamelCase					,      "wb"							) as fi:
													a    =			self.sp_model.serialized_model_proto()
													fi.write(__lowerCamelCase							)

							return (out_vocab_file,)






