"""simple docstring"""



# Lint as: python3
import itertools
import os
import re


_UpperCamelCase								=		re.compile(R"([A-Z]+)([A-Z][a-z])")
_UpperCamelCase								=		re.compile(R"([a-z\d])([A-Z])")

_UpperCamelCase								=		re.compile(R"(?<!_)_(?!_)")
_UpperCamelCase								=		re.compile(R"(_{2,})")

_UpperCamelCase								=		R"^\w+(\.\w+)*$"

_UpperCamelCase								=		R"<>:/\|?*"

def  _A(		lowerCAmelCase							):
							A__       :     Any								=			_uppercase_uppercase_re.sub(r"""\1_\2"""			,  lowerCAmelCase							)
							A__       :     Any								=			_lowercase_uppercase_re.sub(r"""\1_\2"""			,  lowerCAmelCase							)
							return name.lower()

def  _A(		lowerCAmelCase							):
							A__       :     str								=			_single_underscore_re.split(lowerCAmelCase							)
							A__       :     Dict								=			[_multiple_underscores_re.split(lowerCAmelCase							) for n in name]
							return "".join(n.capitalize() for n in itertools.chain.from_iterable(lowerCAmelCase							) if n != """"""							)

def  _A(		lowerCAmelCase							):
							if os.path.basename(lowerCAmelCase							) != name:
														raise ValueError(F'''Should be a dataset name, not a path: {name}'''							)
							return camelcase_to_snakecase(lowerCAmelCase							)

def  _A(		lowerCAmelCase			,  lowerCAmelCase							):
							if os.path.basename(lowerCAmelCase							) != name:
														raise ValueError(F'''Should be a dataset name, not a path: {name}'''							)
							if not re.match(_split_re			,  lowerCAmelCase							):
														raise ValueError(F'''Split name should match \'{_split_re}\'\' but got \'{split}\'.'''							)
							return F'''{filename_prefix_for_name(lowerCAmelCase							)}-{split}'''

def  _A(		lowerCAmelCase			,  lowerCAmelCase			,  lowerCAmelCase			,  lowerCAmelCase=None							):
							A__       :     str								=			filename_prefix_for_split(lowerCAmelCase			,  lowerCAmelCase							)
							if filetype_suffix:
														prefix += F'''.{filetype_suffix}'''
							A__       :     Optional[Any]								=			os.path.join(lowerCAmelCase			,  lowerCAmelCase							)
							return F'''{filepath}*'''



def  _A(		lowerCAmelCase			,  lowerCAmelCase			,  lowerCAmelCase			,  lowerCAmelCase=None			,  lowerCAmelCase=None							):
							A__       :     int								=			filename_prefix_for_split(lowerCAmelCase			,  lowerCAmelCase							)
							A__       :     Optional[int]								=			os.path.join(lowerCAmelCase			,  lowerCAmelCase							)

							if shard_lengths:
														A__       :     Optional[int]								=			len(lowerCAmelCase							)
														A__       :     Optional[int]								=			[F'''{prefix}-{shard_id:05d}-of-{num_shards:05d}''' for shard_id in range(lowerCAmelCase							)]
														if filetype_suffix:
																					A__       :     List[Any]								=			[filename + F'''.{filetype_suffix}''' for filename in filenames]
														return filenames
							else:
														A__       :     Tuple								=			prefix
														if filetype_suffix:
																					filename += F'''.{filetype_suffix}'''
														return [filename]






"""simple docstring"""



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

import sentencepiece as spm

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


_UpperCamelCase								=		logging.get_logger(__name__)

_UpperCamelCase								=		{"vocab_file": "sentencepiece.model"}

_UpperCamelCase								=		{
    "vocab_file": {
        "google/rembert": "https://huggingface.co/google/rembert/resolve/main/sentencepiece.model",
    },
}

_UpperCamelCase								=		{
    "google/rembert": 2_56,
}
class 						__UpperCAmelCase    (__A     ):







			'''simple docstring'''
			_UpperCamelCase  :						Dict					     =				VOCAB_FILES_NAMES
			_UpperCamelCase  :						List[str]					     =				PRETRAINED_VOCAB_FILES_MAP
			_UpperCamelCase  :						Any					     =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES





			def __init__(			self   ,      snake_case_   ,      snake_case_=False   ,      snake_case_=True   ,      snake_case_=True   ,      snake_case_="[CLS]"   ,      snake_case_="[SEP]"   ,      snake_case_="[UNK]"   ,      snake_case_="[SEP]"   ,      snake_case_="[PAD]"   ,      snake_case_="[CLS]"   ,      snake_case_="[MASK]"   ,      **snake_case_   ,      ):







										'''simple docstring'''


										super().__init__(
										    do_lower_case=snake_case_   ,      remove_space=snake_case_   ,      keep_accents=snake_case_   ,      bos_token=snake_case_   ,      eos_token=snake_case_   ,      unk_token=snake_case_   ,      sep_token=snake_case_   ,      pad_token=snake_case_   ,      cls_token=snake_case_   ,      mask_token=snake_case_   ,      **snake_case_   ,      )

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

										A__       :     List[str]								=			spm.SentencePieceProcessor()
										self.sp_model.Load(snake_case_							)





			@property
			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										return len(self.sp_model							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


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





			def __getstate__(			self							):







										'''simple docstring'''


										A__       :     str								=			self.__dict__.copy()
										A__       :     Tuple								=			None
										return state





			def __setstate__(			self   ,      snake_case_							):







										'''simple docstring'''


										A__       :     Dict								=			d
										A__       :     int								=			spm.SentencePieceProcessor()
										self.sp_model.Load(self.vocab_file							)





			def 		lowerCamelCase					(			self   ,      snake_case_   ,      snake_case_=False							):







										'''simple docstring'''


										A__       :     Tuple								=			self.sp_model.EncodeAsPieces(snake_case_							)
										return pieces





			def 		lowerCamelCase					(			self   ,      snake_case_							):







										'''simple docstring'''


										return self.sp_model.PieceToId(snake_case_							)





			def 		lowerCamelCase					(			self   ,      snake_case_							):







										'''simple docstring'''


										return self.sp_model.IdToPiece(snake_case_							)





			def 		lowerCamelCase					(			self   ,      snake_case_							):







										'''simple docstring'''


										A__       :     str								=			self.sp_model.decode_pieces(snake_case_							)
										return out_string





			def 		lowerCamelCase					(			self   ,      snake_case_   ,      snake_case_ = None							):







										'''simple docstring'''


										A__       :     List[Any]								=			[self.sep_token_id]
										A__       :     str								=			[self.cls_token_id]
										if token_ids_a is None:
																	return cls + token_ids_a + sep
										return cls + token_ids_a + sep + token_ids_a + sep





			def 		lowerCamelCase					(			self   ,      snake_case_   ,      snake_case_ = None   ,      snake_case_ = False							):







										'''simple docstring'''


										if already_has_special_tokens:
																	if token_ids_a is not None:
																								raise ValueError(
																								    """You should not supply a second sequence if the provided sequence of """
																								    """ids is already formatted with special tokens for the model."""							)
																	return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

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





			def 		lowerCamelCase					(			self   ,      snake_case_   ,      snake_case_ = None							):







										'''simple docstring'''


										A__       :     int								=			[self.sep_token_id]
										A__       :     Any								=			[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							) * [0] + len(token_ids_a + sep							) * [1]





			def 		lowerCamelCase					(			self   ,      snake_case_   ,      snake_case_ = None							):







										'''simple docstring'''


										if not os.path.isdir(snake_case_							):
																	logger.error("""Vocabulary path ({}) should be a directory""".format(snake_case_							)							)
																	return
										A__       :     Any								=			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_							):
																	copyfile(self.vocab_file   ,      snake_case_							)

										return (out_vocab_file,)





