


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

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__UpperCamelCase    		=       logging.get_logger(__name__)

__UpperCamelCase    		=       {'vocab_file': 'sentencepiece.bpe.model'}

__UpperCamelCase    		=       {
    'vocab_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model',
    }
}

__UpperCamelCase    		=       {
    'camembert-base': 5_1_2,
}

__UpperCamelCase    		=       '▁'







class        lowerCamelCase__	(							UpperCAmelCase      ):






			"""simple docstring"""






			_UpperCamelCase		:					Union[str, Any]    =		VOCAB_FILES_NAMES
			_UpperCamelCase		:					Dict    =		PRETRAINED_VOCAB_FILES_MAP
			_UpperCamelCase		:					Dict    =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			_UpperCamelCase		:					Optional[Any]    =		['input_ids', 'attention_mask']




			def __init__(							self      ,						snake_case      ,						snake_case="<s>"      ,						snake_case="</s>"      ,						snake_case="</s>"      ,						snake_case="<s>"      ,						snake_case="<unk>"      ,						snake_case="<pad>"      ,						snake_case="<mask>"      ,						snake_case=["<s>NOTUSED", "</s>NOTUSED"]      ,						snake_case = None      ,						**snake_case      ,						):

						'''simple docstring'''


						UpperCamelCase__					=       AddedToken(snake_case      ,						lstrip=snake_case      ,						rstrip=snake_case     ) if isinstance(snake_case      ,						snake_case     ) else mask_token

						UpperCamelCase__					=       {} if sp_model_kwargs is None else sp_model_kwargs

						super().__init__(
						    bos_token=snake_case      ,						eos_token=snake_case      ,						unk_token=snake_case      ,						sep_token=snake_case      ,						cls_token=snake_case      ,						pad_token=snake_case      ,						mask_token=snake_case      ,						additional_special_tokens=snake_case      ,						sp_model_kwargs=self.sp_model_kwargs      ,						**snake_case      ,						)
						UpperCamelCase__					=       spm.SentencePieceProcessor(**self.sp_model_kwargs     )
						self.sp_model.Load(str(snake_case     )     )
						UpperCamelCase__					=       vocab_file
						# HACK: These tokens were added by fairseq but don't seem to be actually used when duplicated in the actual
						# sentencepiece vocabulary (this is the case for <s> and </s>
						UpperCamelCase__					=       {"<s>NOTUSED": 0, "<pad>": 1, "</s>NOTUSED": 2, "<unk>": 3}
						UpperCamelCase__					=       len(self.fairseq_tokens_to_ids     )
						UpperCamelCase__					=       len(self.sp_model     ) + len(self.fairseq_tokens_to_ids     )
						UpperCamelCase__					=       {v: k for k, v in self.fairseq_tokens_to_ids.items()}




			def 				snake_case__				(							self      ,						snake_case      ,						snake_case = None     ):

						'''simple docstring'''


						if token_ids_a is None:
									return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
						UpperCamelCase__					=       [self.cls_token_id]
						UpperCamelCase__					=       [self.sep_token_id]
						return cls + token_ids_a + sep + sep + token_ids_a + sep




			def 				snake_case__				(							self      ,						snake_case      ,						snake_case = None      ,						snake_case = False     ):

						'''simple docstring'''


						if already_has_special_tokens:
									return super().get_special_tokens_mask(
									    token_ids_a=snake_case      ,						token_ids_a=snake_case      ,						already_has_special_tokens=snake_case     )

						if token_ids_a is None:
									return [1] + ([0] * len(snake_case     )) + [1]
						return [1] + ([0] * len(snake_case     )) + [1, 1] + ([0] * len(snake_case     )) + [1]




			def 				snake_case__				(							self      ,						snake_case      ,						snake_case = None     ):

						'''simple docstring'''


						UpperCamelCase__					=       [self.sep_token_id]
						UpperCamelCase__					=       [self.cls_token_id]

						if token_ids_a is None:
									return len(cls + token_ids_a + sep     ) * [0]
						return len(cls + token_ids_a + sep + sep + token_ids_a + sep     ) * [0]




			@property
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						return len(self.fairseq_tokens_to_ids     ) + len(self.sp_model     )




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       {self.convert_ids_to_tokens(snake_case     ): i for i in range(self.vocab_size     )}
						vocab.update(self.added_tokens_encoder     )
						return vocab




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						return self.sp_model.encode(snake_case      ,						out_type=snake_case     )




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						if token in self.fairseq_tokens_to_ids:
									return self.fairseq_tokens_to_ids[token]
						elif self.sp_model.PieceToId(snake_case     ) == 0:
									# Convert sentence piece unk token to fairseq unk token index
									return self.unk_token_id
						return self.fairseq_offset + self.sp_model.PieceToId(snake_case     )




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						if index in self.fairseq_ids_to_tokens:
									return self.fairseq_ids_to_tokens[index]
						return self.sp_model.IdToPiece(index - self.fairseq_offset     )




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						UpperCamelCase__					=       []
						UpperCamelCase__					=       ""
						UpperCamelCase__					=       False
						for token in tokens:
									# make sure that special tokens are not decoded using sentencepiece model
									if token in self.all_special_tokens:
												if not prev_is_special:
															out_string += " "
												out_string += self.sp_model.decode(snake_case     ) + token
												UpperCamelCase__					=       True
												UpperCamelCase__					=       []
									else:
												current_sub_tokens.append(snake_case     )
												UpperCamelCase__					=       False
						out_string += self.sp_model.decode(snake_case     )
						return out_string.strip()




			def __getstate__(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       self.__dict__.copy()
						UpperCamelCase__					=       None
						return state




			def __setstate__(							self      ,						snake_case     ):

						'''simple docstring'''


						UpperCamelCase__					=       d

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

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







			def 				snake_case__				(							self      ,						snake_case      ,						snake_case = None     ):

						'''simple docstring'''


						if not os.path.isdir(snake_case     ):
									logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''     )
									return
						UpperCamelCase__					=       os.path.join(
						    snake_case      ,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]     )

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

						return (out_vocab_file,)






from typing import Any







class        lowerCamelCase__	:






			"""simple docstring"""






			def __init__(							self      ,						snake_case     ):

						'''simple docstring'''


						UpperCamelCase__					=       data
						UpperCamelCase__					=       None







class        lowerCamelCase__	:






			"""simple docstring"""






			def __init__(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       None




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       self.head
						while temp is not None:
									print(temp.data      ,						end=" "     )
									UpperCamelCase__					=       temp.next
						print()




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						UpperCamelCase__					=       Node(snake_case     )
						UpperCamelCase__					=       self.head
						UpperCamelCase__					=       new_node







			def 				snake_case__				(							self      ,						snake_case      ,						snake_case     ):

						'''simple docstring'''


						if node_data_a == node_data_a:
									return
						else:
									UpperCamelCase__					=       self.head
									while node_a is not None and node_a.data != node_data_a:
												UpperCamelCase__					=       node_a.next

									UpperCamelCase__					=       self.head
									while node_a is not None and node_a.data != node_data_a:
												UpperCamelCase__					=       node_a.next

									if node_a is None or node_a is None:
												return

									UpperCamelCase__,      UpperCamelCase__					=       node_a.data, node_a.data


if __name__ == "__main__":
						__UpperCamelCase    		=       LinkedList()
						for i in range(5, 0, -1):
												ll.push(i)

						ll.print_list()

						ll.swap_nodes(1, 4)
						print('After swapping')
						ll.print_list()


