


'''simple docstring'''




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:
				_lowerCAmelCase	:		Tuple		  =						None

_lowerCAmelCase	:		Dict		  =						logging.get_logger(__name__)

_lowerCAmelCase	:		str		  =						{'vocab_file': 'spm.model', 'tokenizer_file': 'tokenizer.json'}

_lowerCAmelCase	:		Optional[Any]		  =						{
    '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'
        ),
    }
}

_lowerCAmelCase	:		List[Any]		  =						{
    'microsoft/deberta-v2-xlarge': 512,
    'microsoft/deberta-v2-xxlarge': 512,
    'microsoft/deberta-v2-xlarge-mnli': 512,
    'microsoft/deberta-v2-xxlarge-mnli': 512,
}

_lowerCAmelCase	:		int		  =						{
    '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 			lowerCAmelCase					(					a				):
	_lowerCamelCase :       List[Any]         =			VOCAB_FILES_NAMES
	_lowerCamelCase :       Optional[int]         =			PRETRAINED_VOCAB_FILES_MAP
	_lowerCamelCase :       int         =			PRETRAINED_INIT_CONFIGURATION
	_lowerCamelCase :       Optional[Any]         =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_lowerCamelCase :       Dict         =			DebertaVaTokenizer



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

		lowerCAmelCase       :     Any   				=			do_lower_case
		lowerCAmelCase       :     str   				=			split_by_punct
		lowerCAmelCase       :     Dict   				=			vocab_file
		lowerCAmelCase       :     List[Any]   				=			False if not self.vocab_file else True



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

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



	def 					lowercase  (       self			,       snake_case__			,       snake_case__=None			,       snake_case__=False     ):

		if already_has_special_tokens:
			return super().get_special_tokens_mask(
			    token_ids_a=snake_case__			,       token_ids_a=snake_case__			,       already_has_special_tokens=snake_case__     )

		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 					lowercase  (       self			,       snake_case__			,       snake_case__=None     ):
		lowerCAmelCase       :     Optional[int]   				=			[self.sep_token_id]
		lowerCAmelCase       :     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 					lowercase  (       self			,       snake_case__			,       snake_case__ = None     ):
		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(snake_case__     ):
			logger.error(f"Vocabulary path ({save_directory}) should be a directory"     )
			return
		lowerCAmelCase       :     Optional[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,)




'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


_lowerCAmelCase	:		Dict		  =						{}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowerCAmelCase	:		Union[str, Any]		  =						['BarthezTokenizer']

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowerCAmelCase	:		Union[str, Any]		  =						['BarthezTokenizerFast']


if TYPE_CHECKING:
				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_barthez import BarthezTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_barthez_fast import BarthezTokenizerFast

else:
				import sys

				_lowerCAmelCase	:		List[str]		  =						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
