





'''simple docstring'''


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 :					List[str] 							=logging.get_logger(__name__)

lowerCAmelCase :					str 							='''▁'''

lowerCAmelCase :					int 							={'''vocab_file''': '''sentencepiece.bpe.model'''}

lowerCAmelCase :					List[str] 							={
    '''vocab_file''': {
        '''facebook/xglm-564M''': '''https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model''',
    }
}

lowerCAmelCase :					str 							={
    '''facebook/xglm-564M''': 2_048,
}
class 				a_       (    _lowerCAmelCase							):
     __A								=      VOCAB_FILES_NAMES
     __A								=      PRETRAINED_VOCAB_FILES_MAP
     __A								=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __A								=      ["input_ids", "attention_mask"]





     def __init__(			self		: Dict     ,				lowercase		: Union[str, Any]     ,				lowercase		: Optional[Any]="<s>"     ,				lowercase		: int="</s>"     ,				lowercase		: Union[str, Any]="</s>"     ,				lowercase		: Union[str, Any]="<s>"     ,				lowercase		: int="<unk>"     ,				lowercase		: Optional[int]="<pad>"     ,				lowercase		: Optional[Dict[str, Any]] = None     ,				**lowercase		: Optional[Any]     ,				):





           """simple docstring"""




           lowercase_      :int         =			{} if sp_model_kwargs is None else sp_model_kwargs

           # Compatibility with the original tokenizer
           lowercase_      :List[str]         =			7
           lowercase_      :Tuple         =			[F'<madeupword{i}>' for i in range(self.num_madeup_words						)]

           lowercase_      :Union[str, Any]         =			kwargs.get("additional_special_tokens"     ,				[]						)
           kwargs["additional_special_tokens"] += [
               word for word in madeup_words if word not in kwargs["additional_special_tokens"]
           ]

           super().__init__(
               bos_token=lowercase     ,				eos_token=lowercase     ,				unk_token=lowercase     ,				sep_token=lowercase     ,				cls_token=lowercase     ,				pad_token=lowercase     ,				sp_model_kwargs=self.sp_model_kwargs     ,				**lowercase     ,				)

           lowercase_      :List[str]         =			spm.SentencePieceProcessor(**self.sp_model_kwargs						)
           self.sp_model.Load(str(lowercase						)						)
           lowercase_      :Any         =			vocab_file

           # Original fairseq vocab and spm vocab must be "aligned":
           # Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
           # -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
           # fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
           # spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

           # The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
           lowercase_      :List[str]         =			1

           # Mimic fairseq token-to-id alignment for the first 4 token
           lowercase_      :Optional[Any]         =			{"<s>": 0, "<pad>": 1, "</s>": 2, "<unk>": 3}

           lowercase_      :str         =			len(self.sp_model						)
           lowercase_      :List[str]         =			{F'<madeupword{i}>': sp_size + i + self.fairseq_offset for i in range(self.num_madeup_words						)}
           self.fairseq_tokens_to_ids.update(lowercase						)

           lowercase_      :Any         =			{v: k for k, v in self.fairseq_tokens_to_ids.items()}





     def __getstate__(			self		: Union[str, Any]						):





           """simple docstring"""




           lowercase_      :List[str]         =			self.__dict__.copy()
           lowercase_      :Tuple         =			None
           lowercase_      :Optional[Any]         =			self.sp_model.serialized_model_proto()
           return state





     def __setstate__(			self		: Optional[int]     ,				lowercase		: int						):





           """simple docstring"""




           lowercase_      :Optional[Any]         =			d

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

           lowercase_      :Union[str, Any]         =			spm.SentencePieceProcessor(**self.sp_model_kwargs						)
           self.sp_model.LoadFromSerializedProto(self.sp_model_proto						)





     def 							lowercase__				(			self		: Optional[int]     ,				lowercase		: List[int]     ,				lowercase		: Optional[List[int]] = None						):





           """simple docstring"""




           if token_ids_a is None:
                 return [self.sep_token_id] + token_ids_a
           lowercase_      :List[Any]         =			[self.sep_token_id]
           return sep + token_ids_a + sep + sep + token_ids_a





     def 							lowercase__				(			self		: Optional[Any]     ,				lowercase		: List[int]     ,				lowercase		: Optional[List[int]] = None     ,				lowercase		: bool = False						):





           """simple docstring"""




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

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





     def 							lowercase__				(			self		: List[Any]     ,				lowercase		: List[int]     ,				lowercase		: Optional[List[int]] = None						):





           """simple docstring"""




           lowercase_      :str         =			[self.sep_token_id]

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





     @property
     def 							lowercase__				(			self		: Optional[int]						):





           """simple docstring"""




           return len(self.sp_model						) + self.fairseq_offset + self.num_madeup_words





     def 							lowercase__				(			self		: List[str]						):





           """simple docstring"""




           lowercase_      :str         =			{self.convert_ids_to_tokens(lowercase						): i for i in range(self.vocab_size						)}
           vocab.update(self.added_tokens_encoder						)
           return vocab





     def 							lowercase__				(			self		: Any     ,				lowercase		: str						):





           """simple docstring"""




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





     def 							lowercase__				(			self		: Dict     ,				lowercase		: Tuple						):





           """simple docstring"""




           if token in self.fairseq_tokens_to_ids:
                 return self.fairseq_tokens_to_ids[token]
           lowercase_      :str         =			self.sp_model.PieceToId(lowercase						)

           # Need to return unknown token if the SP model returned 0
           return spm_id + self.fairseq_offset if spm_id else self.unk_token_id





     def 							lowercase__				(			self		: Any     ,				lowercase		: Optional[Any]						):





           """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 							lowercase__				(			self		: str     ,				lowercase		: Optional[int]						):





           """simple docstring"""




           lowercase_      :int         =			"".join(lowercase						).replace(lowercase     ,				" "						).strip()
           return out_string







     def 							lowercase__				(			self		: Union[str, Any]     ,				lowercase		: str     ,				lowercase		: Optional[str] = None						):





           """simple docstring"""




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

           if os.path.abspath(self.vocab_file						) != os.path.abspath(lowercase						) and os.path.isfile(self.vocab_file						):
                 copyfile(self.vocab_file     ,				lowercase						)
           elif not os.path.isfile(self.vocab_file						):
                 with open(lowercase     ,				"wb"						) as fi:
                       lowercase_      :List[Any]         =			self.sp_model.serialized_model_proto()
                       fi.write(lowercase						)

           return (out_vocab_file,)









'''simple docstring'''


from abc import ABC, abstractmethod
from argparse import ArgumentParser
class 				a_       (    _lowerCAmelCase							):





     @staticmethod
     @abstractmethod
     def 							lowercase__				(			lowercase		: ArgumentParser						):





        """simple docstring"""




        raise NotImplementedError()







     @abstractmethod
     def 							lowercase__				(			self		: str						):





        """simple docstring"""




        raise NotImplementedError()


