





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__						:			Dict									=None

UpperCAmelCase__						:			str									=logging.get_logger(__name__)
UpperCAmelCase__						:			Any									={'''vocab_file''': '''sentencepiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCAmelCase__						:			int									={
    '''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__						:			Any									={
    '''google/rembert''': 2_56,
}

UpperCAmelCase__						:			List[Any]									='''▁'''

class       __A     (						a    ):
				__A      =				VOCAB_FILES_NAMES
				__A      =				PRETRAINED_VOCAB_FILES_MAP
				__A      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__A      =				RemBertTokenizer


				def __init__(		self   , UpperCAmelCase_=None   , UpperCAmelCase_=None   , UpperCAmelCase_=True   , UpperCAmelCase_=True   , UpperCAmelCase_=False   , UpperCAmelCase_="[CLS]"   , UpperCAmelCase_="[SEP]"   , UpperCAmelCase_="<unk>"   , UpperCAmelCase_="[SEP]"   , UpperCAmelCase_="<pad>"   , UpperCAmelCase_="[CLS]"   , UpperCAmelCase_="[MASK]"   , **UpperCAmelCase_   , ):
								# Mask token behave like a normal word, i.e. include the space before it
								lowerCamelCase	 =AddedToken(UpperCAmelCase_   , lstrip=UpperCAmelCase_   , rstrip=UpperCAmelCase_							) if isinstance(UpperCAmelCase_   , UpperCAmelCase_							) else mask_token

								super().__init__(
								    UpperCAmelCase_   , tokenizer_file=UpperCAmelCase_   , 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_   , **UpperCAmelCase_   , )

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


				def _snake_case       (		self   , UpperCAmelCase_   , UpperCAmelCase_ = None							):
								lowerCamelCase	 =[self.sep_token_id]
								lowerCamelCase	 =[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   , UpperCAmelCase_   , UpperCAmelCase_ = None   , UpperCAmelCase_ = False							):

								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(UpperCAmelCase_							)) + [1] + ([0] * len(UpperCAmelCase_							)) + [1]
								return [1] + ([0] * len(UpperCAmelCase_							)) + [1]


				def _snake_case       (		self   , UpperCAmelCase_   , UpperCAmelCase_ = None							):
								lowerCamelCase	 =[self.sep_token_id]
								lowerCamelCase	 =[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   , UpperCAmelCase_   , UpperCAmelCase_ = None							):
								if not os.path.isdir(UpperCAmelCase_							):
												logger.error("""Vocabulary path ({}) should be a directory""".format(UpperCAmelCase_							)							)
												return
								lowerCamelCase	 =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_							):
												copyfile(self.vocab_file   , UpperCAmelCase_							)

								return (out_vocab_file,)













def      _lowercase					(						_UpperCAmelCase			,      _UpperCAmelCase				)						->  List[str]:
				lowerCamelCase	 =[0 for i in range(r + 1				)]
				# nc0 = 1
				lowerCamelCase	 =1
				for i in range(1			,      n + 1				):
								# to compute current row from previous row.
								lowerCamelCase	 =min(_UpperCAmelCase			,      _UpperCAmelCase				)
								while j > 0:
												c[j] += c[j - 1]
												j -= 1
				return c[r]




print(binomial_coefficient(n=10, r=5))





