



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:
						_snake_case	=						None

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

_snake_case	=						{
    "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",
    },
}

_snake_case	=						{
    "google/rembert": 256,
}

_snake_case	=						"▁"



class 						UpperCAmelCase_					( a):
							lowerCamelCase__         =	VOCAB_FILES_NAMES
							lowerCamelCase__         =	PRETRAINED_VOCAB_FILES_MAP
							lowerCamelCase__         =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCamelCase__         =	RemBertTokenizer







							def __init__(     self,    __a=None,    __a=None,    __a=True,    __a=True,    __a=False,    __a="[CLS]",    __a="[SEP]",    __a="<unk>",    __a="[SEP]",    __a="<pad>",    __a="[CLS]",    __a="[MASK]",    **__a,    ):

														'''simple docstring'''

														_lowerCAmelCase  :							str				     =					AddedToken(__a,    lstrip=__a,    rstrip=__a) if isinstance(__a,    __a) else mask_token

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

														_lowerCAmelCase  :							Optional[int]				     =					do_lower_case
														_lowerCAmelCase  :							str				     =					remove_space
														_lowerCAmelCase  :							Dict				     =					keep_accents
														_lowerCAmelCase  :							Optional[int]				     =					vocab_file
														_lowerCAmelCase  :							Any				     =					False if not self.vocab_file else True







							def      snake_case__   (     self,    __a,    __a = None):

														'''simple docstring'''

														_lowerCAmelCase  :							Any				     =					[self.sep_token_id]
														_lowerCAmelCase  :							Union[str, Any]				     =					[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,    __a,    __a = None,    __a = 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(__a)) + [1] + ([0] * len(__a)) + [1]
														return [1] + ([0] * len(__a)) + [1]







							def      snake_case__   (     self,    __a,    __a = None):

														'''simple docstring'''

														_lowerCAmelCase  :							Union[str, Any]				     =					[self.sep_token_id]
														_lowerCAmelCase  :							Optional[int]				     =					[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,    __a,    __a = None):

														'''simple docstring'''

														if not os.path.isdir(__a):
																					logger.error("Vocabulary path ({}) should be a directory".format(__a))
																					return
														_lowerCAmelCase  :							Union[str, Any]				     =					os.path.join(
														    __a,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])

														if os.path.abspath(self.vocab_file) != os.path.abspath(__a):
																					copyfile(self.vocab_file,    __a)

														return (out_vocab_file,)





def        A       (      _lowerCamelCase						):





							'''simple docstring'''




							_lowerCAmelCase  :							int				     =					len(_lowerCamelCase						)
							for i in range(1       ,				_lowerCamelCase						):
														_lowerCAmelCase  :							List[Any]				     =					collection[i]
														_lowerCAmelCase  :							str				     =					0
														_lowerCAmelCase  :							Union[str, Any]				     =					i - 1

														while low <= high:
																					_lowerCAmelCase  :							List[str]				     =					(low + high) // 2
																					if val < collection[mid]:
																												_lowerCAmelCase  :							Optional[int]				     =					mid - 1
																					else:
																												_lowerCAmelCase  :							List[str]				     =					mid + 1
														for j in range(_lowerCamelCase       ,				_lowerCamelCase       ,				-1						):
																					_lowerCAmelCase  :							int				     =					collection[j - 1]
														_lowerCAmelCase  :							Optional[int]				     =					val
							return collection


if __name__ == "__main__":
						_snake_case	=						input("Enter numbers separated by a comma:\n").strip()
						_snake_case	=						[int(item) for item in user_input.split(",")]
						print(binary_insertion_sort(unsorted))
