
"""simple docstring"""



import os
import unicodedata
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 SPIECE_UNDERLINE, logging


a					:	str							=		logging.get_logger(__name__)

a					:	List[str]							=		{'''vocab_file''': '''spiece.model'''}

a					:	Optional[int]							=		{
    '''vocab_file''': {
        '''TsinghuaAI/CPM-Generate''': '''https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model''',
    }
}




class 		a_						( _UpperCAmelCase	):







    def __init__(			self			:       Optional[Any]     ,					__UpperCamelCase			:       Tuple     ,					__UpperCamelCase			:       int=False     ,					__UpperCamelCase			:       str=True     ,					__UpperCamelCase			:       Optional[int]=False     ,					__UpperCamelCase			:       Optional[Any]="<s>"     ,					__UpperCamelCase			:       Union[str, Any]="</s>"     ,					__UpperCamelCase			:       int="<unk>"     ,					__UpperCamelCase			:       List[Any]="<sep>"     ,					__UpperCamelCase			:       Optional[int]="<pad>"     ,					__UpperCamelCase			:       List[str]="<cls>"     ,					__UpperCamelCase			:       Optional[int]="<mask>"     ,					__UpperCamelCase			:       List[Any]=["<eop>", "<eod>"]     ,					__UpperCamelCase			:       Optional[Dict[str, Any]] = None     ,					**__UpperCamelCase			:       Any     ,					)		->None:






        '''simple docstring'''






        _UpperCAmelCase          =   AddedToken(__UpperCamelCase     ,					lstrip=__UpperCamelCase     ,					rstrip=__UpperCamelCase     ) if isinstance(__UpperCamelCase     ,					__UpperCamelCase     ) else mask_token

        _UpperCAmelCase          =   {} if sp_model_kwargs is None else sp_model_kwargs

        super().__init__(
            do_lower_case=__UpperCamelCase     ,					remove_space=__UpperCamelCase     ,					keep_accents=__UpperCamelCase     ,					bos_token=__UpperCamelCase     ,					eos_token=__UpperCamelCase     ,					unk_token=__UpperCamelCase     ,					sep_token=__UpperCamelCase     ,					pad_token=__UpperCamelCase     ,					cls_token=__UpperCamelCase     ,					mask_token=__UpperCamelCase     ,					additional_special_tokens=__UpperCamelCase     ,					sp_model_kwargs=self.sp_model_kwargs     ,					**__UpperCamelCase     ,					)

        _UpperCAmelCase          =   3

        _UpperCAmelCase          =   do_lower_case
        _UpperCAmelCase          =   remove_space
        _UpperCAmelCase          =   keep_accents
        _UpperCAmelCase          =   vocab_file

        _UpperCAmelCase          =   spm.SentencePieceProcessor(**self.sp_model_kwargs     )
        self.sp_model.Load(__UpperCamelCase     )

        try:
            import jieba
        except ModuleNotFoundError as error:
            raise error.__class__(
                """You need to install jieba to use CpmTokenizer or CpmTokenizerFast. """
                """See https://pypi.org/project/jieba/ for installation."""     )
        _UpperCAmelCase          =   jieba
        _UpperCAmelCase          =   str.maketrans(""" \n"""     ,					"""\u2582\u2583"""     )







    @property
    # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
    def      _snake_case					(			self			:       Any     )		->List[str]:






        '''simple docstring'''






        return len(self.sp_model     )







    def      _snake_case					(			self			:       Optional[Any]     )		->Union[str, Any]:






        '''simple docstring'''






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







    def __getstate__(			self			:       Optional[int]     )		->Union[str, Any]:






        '''simple docstring'''






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







    def __setstate__(			self			:       Optional[Any]     ,					__UpperCamelCase			:       Union[str, Any]     )		->Any:






        '''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			:       Optional[Any]     ,					__UpperCamelCase			:       List[str]     )		->int:






        '''simple docstring'''






        if self.remove_space:
            _UpperCAmelCase          =   """ """.join(inputs.strip().split()     )
        else:
            _UpperCAmelCase          =   inputs
        _UpperCAmelCase          =   outputs.replace("""``"""     ,					"""\""""     ).replace("""''"""     ,					"""\""""     )

        if not self.keep_accents:
            _UpperCAmelCase          =   unicodedata.normalize("""NFKD"""     ,					__UpperCamelCase     )
            _UpperCAmelCase          =   """""".join([c for c in outputs if not unicodedata.combining(__UpperCamelCase     )]     )
        if self.do_lower_case:
            _UpperCAmelCase          =   outputs.lower()

        return outputs







    def      _snake_case					(			self			:       Union[str, Any]     ,					__UpperCamelCase			:       str     )		->List[str]:






        '''simple docstring'''






        _UpperCAmelCase          =   self.preprocess_text(__UpperCamelCase     )
        _UpperCAmelCase          =   self.sp_model.encode(__UpperCamelCase     ,					out_type=__UpperCamelCase     )
        _UpperCAmelCase          =   []
        for piece in pieces:
            if len(__UpperCamelCase     ) > 1 and piece[-1] == str(""","""     ) and piece[-2].isdigit():
                _UpperCAmelCase          =   self.sp_model.EncodeAsPieces(piece[:-1].replace(__UpperCamelCase     ,					""""""     )     )
                if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
                    if len(cur_pieces[0]     ) == 1:
                        _UpperCAmelCase          =   cur_pieces[1:]
                    else:
                        _UpperCAmelCase          =   cur_pieces[0][1:]
                cur_pieces.append(piece[-1]     )
                new_pieces.extend(__UpperCamelCase     )
            else:
                new_pieces.append(__UpperCamelCase     )

        return new_pieces







    def      _snake_case					(			self			:       int     ,					__UpperCamelCase			:       str     )		->str:






        '''simple docstring'''






        return self.sp_model.PieceToId(__UpperCamelCase     )







    def      _snake_case					(			self			:       str     ,					__UpperCamelCase			:       Optional[int]     )		->Optional[Any]:






        '''simple docstring'''






        return self.sp_model.IdToPiece(__UpperCamelCase     )







    def      _snake_case					(			self			:       Tuple     ,					__UpperCamelCase			:       Union[str, Any]     )		->Any:






        '''simple docstring'''






        _UpperCAmelCase          =   """""".join(__UpperCamelCase     ).replace(__UpperCamelCase     ,					""" """     ).strip()
        return out_string







    def      _snake_case					(			self			:       int     ,					__UpperCamelCase			:       List[int]     ,					__UpperCamelCase			:       Optional[List[int]] = None     )		->List[int]:






        '''simple docstring'''






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







    def      _snake_case					(			self			:       Optional[Any]     ,					__UpperCamelCase			:       List[int]     ,					__UpperCamelCase			:       Optional[List[int]] = None     ,					__UpperCamelCase			:       bool = False     )		->List[int]:






        '''simple docstring'''






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

        if token_ids_a is not None:
            return ([0] * len(__UpperCamelCase     )) + [1] + ([0] * len(__UpperCamelCase     )) + [1, 1]
        return ([0] * len(__UpperCamelCase     )) + [1, 1]







    def      _snake_case					(			self			:       Any     ,					__UpperCamelCase			:       List[int]     ,					__UpperCamelCase			:       Optional[List[int]] = None     )		->List[int]:






        '''simple docstring'''






        _UpperCAmelCase          =   [self.sep_token_id]
        _UpperCAmelCase          =   [2]

        if token_ids_a is None:
            return len(token_ids_a + sep     ) * [0] + cls_segment_id
        return len(token_ids_a + sep     ) * [0] + len(token_ids_a + sep     ) * [1] + cls_segment_id







    def      _snake_case					(			self			:       Optional[int]     ,					__UpperCamelCase			:       str     ,					__UpperCamelCase			:       Optional[str] = None     )		->Tuple[str]:






        '''simple docstring'''






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

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

        return (out_vocab_file,)







    def      _snake_case					(			self			:       Union[str, Any]     ,					*__UpperCamelCase			:       int     ,					**__UpperCamelCase			:       Optional[int]     )		->Optional[int]:






        '''simple docstring'''






        _UpperCAmelCase          =   super()._decode(*__UpperCamelCase     ,					**__UpperCamelCase     )
        _UpperCAmelCase          =   text.replace(""" """     ,					""""""     ).replace("""\u2582"""     ,					""" """     ).replace("""\u2583"""     ,					"""\n"""     )
        return text

"""simple docstring"""



import re

from filelock import FileLock


try:
 import nltk

 a					:	str							=		True
except (ImportError, ModuleNotFoundError):
 a					:	List[str]							=		False

if NLTK_AVAILABLE:
 with FileLock('''.lock''') as lock:
  nltk.download('''punkt''', quiet=True)


def  _UpperCamelCase	(						_A      )    ->  str:





    """simple docstring"""

    re.sub("""<n>"""					,      """"""					,      _A      )  # remove pegasus newline char
    assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
    return "\n".join(nltk.sent_tokenize(_A      )      )