



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

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
			from .tokenization_rembert import RemBertTokenizer
else:
			UpperCamelCase__ =						None

UpperCamelCase__ =						logging.get_logger(__name__)
UpperCamelCase__ =						{"vocab_file": "sentencepiece.model", "tokenizer_file": "tokenizer.json"}

UpperCamelCase__ =						{
    "vocab_file": {
        "google/rembert": "https://huggingface.co/google/rembert/resolve/main/sentencepiece.model",
    },
    "tokenizer_file": {
        "google/rembert": "https://huggingface.co/google/rembert/resolve/main/tokenizer.json",
    },
}

UpperCamelCase__ =						{
    "google/rembert": 2_56,
}

UpperCamelCase__ =						"▁"
class 			_lowerCAmelCase   ( _UpperCAmelCase			):






			"""simple docstring"""





			lowercase__      :  List[Any]      =			VOCAB_FILES_NAMES
			lowercase__      :  str      =			PRETRAINED_VOCAB_FILES_MAP
			lowercase__      :  Any      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowercase__      :  int      =			RemBertTokenizer





			def __init__(				self	:       Tuple			,     lowercase	:       int=None			,     lowercase	:       str=None			,     lowercase	:       Optional[Any]=True			,     lowercase	:       Union[str, Any]=True			,     lowercase	:       Optional[int]=False			,     lowercase	:       Optional[Any]="[CLS]"			,     lowercase	:       Dict="[SEP]"			,     lowercase	:       Tuple="<unk>"			,     lowercase	:       str="[SEP]"			,     lowercase	:       str="<pad>"			,     lowercase	:       int="[CLS]"			,     lowercase	:       Tuple="[MASK]"			,     **lowercase	:       Union[str, Any]			,     )						->					int:
									"""simple docstring"""







									__lowercase					=				AddedToken(lowercase			,     lstrip=lowercase			,     rstrip=lowercase   ) if isinstance(lowercase			,     lowercase   ) else mask_token

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

									__lowercase					=				do_lower_case
									__lowercase					=				remove_space
									__lowercase					=				keep_accents
									__lowercase					=				vocab_file
									__lowercase					=				False if not self.vocab_file else True





			def 		snake_case__			(				self	:       Tuple			,     lowercase	:       List[int]			,     lowercase	:       Optional[List[int]] = None   )						->					List[int]:
									"""simple docstring"""







									__lowercase					=				[self.sep_token_id]
									__lowercase					=				[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 		snake_case__			(				self	:       Tuple			,     lowercase	:       List[int]			,     lowercase	:       Optional[List[int]] = None			,     lowercase	:       bool = False   )						->					List[int]:
									"""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(lowercase   )) + [1] + ([0] * len(lowercase   )) + [1]
									return [1] + ([0] * len(lowercase   )) + [1]





			def 		snake_case__			(				self	:       Tuple			,     lowercase	:       List[int]			,     lowercase	:       Optional[List[int]] = None   )						->					List[int]:
									"""simple docstring"""







									__lowercase					=				[self.sep_token_id]
									__lowercase					=				[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 		snake_case__			(				self	:       int			,     lowercase	:       str			,     lowercase	:       Optional[str] = None   )						->					Tuple[str]:
									"""simple docstring"""







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

									return (out_vocab_file,)










def  UpperCAmelCase__    (    lowercase__   ) ->      Optional[int]:
						__lowercase					=				len(lowercase__   )
						__lowercase					=				sum(lowercase__   )

						__lowercase					=				[[False for x in range(s + 1   )] for y in range(n + 1   )]

						for i in range(1						,       n + 1   ):
												__lowercase					=				True

						for i in range(1						,       s + 1   ):
												__lowercase					=				False

						for i in range(1						,       n + 1   ):
												for j in range(1						,       s + 1   ):
																		__lowercase					=				dp[i][j - 1]

																		if arr[i - 1] <= j:
																								__lowercase					=				dp[i][j] or dp[i - 1][j - arr[i - 1]]

						for j in range(int(s / 2   )						,       -1						,       -1   ):
												if dp[n][j] is True:
																		__lowercase					=				s - 2 * j
																		break

						return diff





