






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

from ...file_utils import is_sentencepiece_available
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if is_sentencepiece_available():
							from .tokenization_deberta_va import DebertaVaTokenizer
else:
							lowercase     :							Union[str, Any]	     =			None

lowercase     :							Any	     =			logging.get_logger(__name__)

lowercase     :							Union[str, Any]	     =			{'''vocab_file''': '''spm.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowercase     :							str	     =			{
    '''vocab_file''': {
        '''microsoft/deberta-v2-xlarge''': '''https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/spm.model''',
        '''microsoft/deberta-v2-xxlarge''': '''https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/spm.model''',
        '''microsoft/deberta-v2-xlarge-mnli''': (
            '''https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/spm.model'''
        ),
        '''microsoft/deberta-v2-xxlarge-mnli''': (
            '''https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/spm.model'''
        ),
    }
}

lowercase     :							Tuple	     =			{
    '''microsoft/deberta-v2-xlarge''': 5_12,
    '''microsoft/deberta-v2-xxlarge''': 5_12,
    '''microsoft/deberta-v2-xlarge-mnli''': 5_12,
    '''microsoft/deberta-v2-xxlarge-mnli''': 5_12,
}

lowercase     :							Any	     =			{
    '''microsoft/deberta-v2-xlarge''': {'''do_lower_case''': False},
    '''microsoft/deberta-v2-xxlarge''': {'''do_lower_case''': False},
    '''microsoft/deberta-v2-xlarge-mnli''': {'''do_lower_case''': False},
    '''microsoft/deberta-v2-xxlarge-mnli''': {'''do_lower_case''': False},
}




class 						UpperCAmelCase_  (		SCREAMING_SNAKE_CASE__    ):


						'''simple docstring'''




						A   :      Optional[int]						 =    VOCAB_FILES_NAMES
						A   :      int						 =    PRETRAINED_VOCAB_FILES_MAP
						A   :      List[str]						 =    PRETRAINED_INIT_CONFIGURATION
						A   :      List[str]						 =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						A   :      Optional[Any]						 =    DebertaVaTokenizer






						def __init__(		self						, _SCREAMING_SNAKE_CASE=None						, _SCREAMING_SNAKE_CASE=None						, _SCREAMING_SNAKE_CASE=False						, _SCREAMING_SNAKE_CASE=False						, _SCREAMING_SNAKE_CASE="[CLS]"						, _SCREAMING_SNAKE_CASE="[SEP]"						, _SCREAMING_SNAKE_CASE="[UNK]"						, _SCREAMING_SNAKE_CASE="[SEP]"						, _SCREAMING_SNAKE_CASE="[PAD]"						, _SCREAMING_SNAKE_CASE="[CLS]"						, _SCREAMING_SNAKE_CASE="[MASK]"						, **_SCREAMING_SNAKE_CASE						, )       -> None:
								super().__init__(
								    _SCREAMING_SNAKE_CASE						, tokenizer_file=_SCREAMING_SNAKE_CASE						, do_lower_case=_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						, split_by_punct=_SCREAMING_SNAKE_CASE						, **_SCREAMING_SNAKE_CASE						, )

								snake_case_ :							Tuple         =				do_lower_case
								snake_case_ :							List[Any]         =				split_by_punct
								snake_case_ :							Optional[int]         =				vocab_file
								snake_case_ :							Union[str, Any]         =				False if not self.vocab_file else True






						def 					_lowerCAmelCase				(		self						, _SCREAMING_SNAKE_CASE						, _SCREAMING_SNAKE_CASE=None )       -> Union[str, Any]:

								if token_ids_a is None:
										return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
								snake_case_ :							Any         =				[self.cls_token_id]
								snake_case_ :							Optional[int]         =				[self.sep_token_id]
								return cls + token_ids_a + sep + token_ids_a + sep






						def 					_lowerCAmelCase				(		self						, _SCREAMING_SNAKE_CASE						, _SCREAMING_SNAKE_CASE=None						, _SCREAMING_SNAKE_CASE=False )       -> Union[str, Any]:

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






						def 					_lowerCAmelCase				(		self						, _SCREAMING_SNAKE_CASE						, _SCREAMING_SNAKE_CASE=None )       -> int:
								snake_case_ :							str         =				[self.sep_token_id]
								snake_case_ :							List[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						, _SCREAMING_SNAKE_CASE						, _SCREAMING_SNAKE_CASE = None )       -> Tuple[str]:
								if not self.can_save_slow_tokenizer:
										raise ValueError(
										    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
										    "tokenizer." )

								if not os.path.isdir(_SCREAMING_SNAKE_CASE ):
										logger.error(f'''Vocabulary path ({save_directory}) should be a directory''' )
										return
								snake_case_ :							Union[str, Any]         =				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 ):
										copyfile(self.vocab_file						, _SCREAMING_SNAKE_CASE )

								return (out_vocab_file,)








from __future__ import annotations

from collections.abc import Generator

def    lowerCAmelCase__		(			_a				:	int			):
		if not isinstance(_a     ,					_a			) or n < 1:
				raise Exception("Sequence only defined for positive integers"			)

		yield n
		while n != 1:
				if n % 2 == 0:
						n //= 2
				else:
						snake_case_ :							List[str]         =				3 * n + 1
				yield n

def    lowerCAmelCase__		(			):
		snake_case_ :							Optional[int]         =				43
		snake_case_ :							Union[str, Any]         =				tuple(collatz_sequence(_a			)			)
		print(_a			)
		print(F'''Collatz sequence from {n} took {len(_a			)} steps.'''			)


if __name__ == "__main__":
							main()
