



"""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:
				snake_case_         = None

snake_case_         = logging.get_logger(__name__)

snake_case_         = {"""vocab_file""": """spm.model""", """tokenizer_file""": """tokenizer.json"""}

snake_case_         = {
    """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"""
        ),
    }
}

snake_case_         = {
    """microsoft/deberta-v2-xlarge""": 512,
    """microsoft/deberta-v2-xxlarge""": 512,
    """microsoft/deberta-v2-xlarge-mnli""": 512,
    """microsoft/deberta-v2-xxlarge-mnli""": 512,
}

snake_case_         = {
    """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    A_    (  SCREAMING_SNAKE_CASE_       ):



						"""simple docstring"""
						__UpperCamelCase	       =							VOCAB_FILES_NAMES
						__UpperCamelCase	       =							PRETRAINED_VOCAB_FILES_MAP
						__UpperCamelCase	       =							PRETRAINED_INIT_CONFIGURATION
						__UpperCamelCase	       =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						__UpperCamelCase	       =							DebertaVaTokenizer






						def __init__(      self				:str     ,						lowercase_				:Tuple=None     ,						lowercase_				:int=None     ,						lowercase_				:Optional[Any]=False     ,						lowercase_				:Union[str, Any]=False     ,						lowercase_				:List[Any]="[CLS]"     ,						lowercase_				:Union[str, Any]="[SEP]"     ,						lowercase_				:List[Any]="[UNK]"     ,						lowercase_				:Optional[Any]="[SEP]"     ,						lowercase_				:Union[str, Any]="[PAD]"     ,						lowercase_				:str="[CLS]"     ,						lowercase_				:int="[MASK]"     ,						**lowercase_				:Union[str, Any]     ,						)       ->    None:
												super().__init__(
												    lowercase_     ,						tokenizer_file=lowercase_     ,						do_lower_case=lowercase_     ,						bos_token=lowercase_     ,						eos_token=lowercase_     ,						unk_token=lowercase_     ,						sep_token=lowercase_     ,						pad_token=lowercase_     ,						cls_token=lowercase_     ,						mask_token=lowercase_     ,						split_by_punct=lowercase_     ,						**lowercase_     ,						)

												UpperCAmelCase    =	do_lower_case
												UpperCAmelCase    =	split_by_punct
												UpperCAmelCase    =	vocab_file
												UpperCAmelCase    =	False if not self.vocab_file else True






						def 			UpperCAmelCase__  (      self				:Tuple     ,						lowercase_				:Any     ,						lowercase_				:List[str]=None      )       ->    Optional[int]:

												if token_ids_a is None:
																		return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
												UpperCAmelCase    =	[self.cls_token_id]
												UpperCAmelCase    =	[self.sep_token_id]
												return cls + token_ids_a + sep + token_ids_a + sep






						def 			UpperCAmelCase__  (      self				:Union[str, Any]     ,						lowercase_				:Union[str, Any]     ,						lowercase_				:str=None     ,						lowercase_				:Tuple=False      )       ->    Tuple:

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

												if token_ids_a is not None:
																		return [1] + ([0] * len(lowercase_      )) + [1] + ([0] * len(lowercase_      )) + [1]
												return [1] + ([0] * len(lowercase_      )) + [1]






						def 			UpperCAmelCase__  (      self				:Tuple     ,						lowercase_				:Any     ,						lowercase_				:Tuple=None      )       ->    int:
												UpperCAmelCase    =	[self.sep_token_id]
												UpperCAmelCase    =	[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 			UpperCAmelCase__  (      self				:Optional[Any]     ,						lowercase_				:str     ,						lowercase_				:Optional[str] = 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(lowercase_      ):
																		logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""      )
																		return
												UpperCAmelCase    =	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,)










"""simple docstring"""


import warnings

from .generation import FlaxGenerationMixin







class    A_    (  SCREAMING_SNAKE_CASE_       ):



						"""simple docstring"""
						# warning at import time
						warnings.warn(
						    """Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will """
						    """be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead."""			,     SCREAMING_SNAKE_CASE_			,     )





