



"""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


__snake_case				:  Union[str, Any] =       logging.get_logger(__name__)

__snake_case				:  Any =       {'vocab_file': 'spiece.model'}

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



class      A__  (    __SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





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

				"""simple docstring"""

				__lowerCAmelCase :    Dict				=			AddedToken(_SCREAMING_SNAKE_CASE			,     lstrip=_SCREAMING_SNAKE_CASE			,     rstrip=_SCREAMING_SNAKE_CASE) if isinstance(_SCREAMING_SNAKE_CASE			,     _SCREAMING_SNAKE_CASE) else mask_token

				__lowerCAmelCase :    Union[str, Any]				=			{} if sp_model_kwargs is None else sp_model_kwargs

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

				__lowerCAmelCase :    Any				=			3

				__lowerCAmelCase :    List[Any]				=			do_lower_case
				__lowerCAmelCase :    Optional[int]				=			remove_space
				__lowerCAmelCase :    Optional[Any]				=			keep_accents
				__lowerCAmelCase :    Dict				=			vocab_file

				__lowerCAmelCase :    List[Any]				=			spm.SentencePieceProcessor(**self.sp_model_kwargs)
				self.sp_model.Load(_SCREAMING_SNAKE_CASE)

				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.")
				__lowerCAmelCase :    Optional[Any]				=			jieba
				__lowerCAmelCase :    Dict				=			str.maketrans(" \n"			,     "\u2582\u2583")

	@property
	# Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
	def 				_SCREAMING_SNAKE_CASE  (	self:						str)							->			Optional[int]:

				"""simple docstring"""

				return len(self.sp_model)

	def 				_SCREAMING_SNAKE_CASE  (	self:						List[str])							->			Dict:

				"""simple docstring"""

				__lowerCAmelCase :    Optional[Any]				=			{self.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE): i for i in range(self.vocab_size)}
				vocab.update(self.added_tokens_encoder)
				return vocab

	def __getstate__(	self:						Optional[Any])							->			List[str]:

				"""simple docstring"""

				__lowerCAmelCase :    str				=			self.__dict__.copy()
				__lowerCAmelCase :    Union[str, Any]				=			None
				return state

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

				"""simple docstring"""

				__lowerCAmelCase :    Union[str, Any]				=			d

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

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

	def 				_SCREAMING_SNAKE_CASE  (	self:						Optional[int]			,     _SCREAMING_SNAKE_CASE:						Optional[int])							->			List[str]:

				"""simple docstring"""

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

				if not self.keep_accents:
							__lowerCAmelCase :    Optional[int]				=			unicodedata.normalize("NFKD"			,     _SCREAMING_SNAKE_CASE)
							__lowerCAmelCase :    str				=			"".join([c for c in outputs if not unicodedata.combining(_SCREAMING_SNAKE_CASE)])
				if self.do_lower_case:
							__lowerCAmelCase :    Optional[int]				=			outputs.lower()

				return outputs

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

				"""simple docstring"""

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

				return new_pieces

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

				"""simple docstring"""

				return self.sp_model.PieceToId(_SCREAMING_SNAKE_CASE)

	def 				_SCREAMING_SNAKE_CASE  (	self:						str			,     _SCREAMING_SNAKE_CASE:						List[Any])							->			Dict:

				"""simple docstring"""

				return self.sp_model.IdToPiece(_SCREAMING_SNAKE_CASE)

	def 				_SCREAMING_SNAKE_CASE  (	self:						Dict			,     _SCREAMING_SNAKE_CASE:						Any)							->			Union[str, Any]:

				"""simple docstring"""

				__lowerCAmelCase :    Any				=			"".join(_SCREAMING_SNAKE_CASE).replace(_SCREAMING_SNAKE_CASE			,     " ").strip()
				return out_string

	def 				_SCREAMING_SNAKE_CASE  (	self:						List[str]			,     _SCREAMING_SNAKE_CASE:						List[int]			,     _SCREAMING_SNAKE_CASE:						Optional[List[int]] = None)							->			List[int]:

				"""simple docstring"""

				__lowerCAmelCase :    List[Any]				=			[self.sep_token_id]
				__lowerCAmelCase :    Optional[Any]				=			[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 				_SCREAMING_SNAKE_CASE  (	self:						Optional[int]			,     _SCREAMING_SNAKE_CASE:						List[int]			,     _SCREAMING_SNAKE_CASE:						Optional[List[int]] = None			,     _SCREAMING_SNAKE_CASE:						bool = False)							->			List[int]:

				"""simple docstring"""

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

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

	def 				_SCREAMING_SNAKE_CASE  (	self:						Dict			,     _SCREAMING_SNAKE_CASE:						List[int]			,     _SCREAMING_SNAKE_CASE:						Optional[List[int]] = None)							->			List[int]:

				"""simple docstring"""

				__lowerCAmelCase :    Optional[Any]				=			[self.sep_token_id]
				__lowerCAmelCase :    Tuple				=			[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 				_SCREAMING_SNAKE_CASE  (	self:						List[str]			,     _SCREAMING_SNAKE_CASE:						str			,     _SCREAMING_SNAKE_CASE:						Optional[str] = None)							->			Tuple[str]:

				"""simple docstring"""

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

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

				return (out_vocab_file,)







	def 				_SCREAMING_SNAKE_CASE  (	self:						int			,     *_SCREAMING_SNAKE_CASE:						List[Any]			,     **_SCREAMING_SNAKE_CASE:						int)							->			str:

				"""simple docstring"""

				__lowerCAmelCase :    List[str]				=			super()._decode(*_SCREAMING_SNAKE_CASE			,     **_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase :    List[str]				=			text.replace(" "			,     "").replace("\u2582"			,     " ").replace("\u2583"			,     "\n")
				return text




"""simple docstring"""






from abc import ABC, abstractmethod
from argparse import ArgumentParser



class      A__  (    __SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





	@staticmethod
	@abstractmethod
	def 				_SCREAMING_SNAKE_CASE  (	_SCREAMING_SNAKE_CASE:						ArgumentParser)							->			Optional[int]:

				"""simple docstring"""

				raise NotImplementedError()







	@abstractmethod
	def 				_SCREAMING_SNAKE_CASE  (	self:						Union[str, Any])							->			Dict:

				"""simple docstring"""

				raise NotImplementedError()