
'''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:
     UpperCamelCase_     			=       None

UpperCamelCase_     			=       logging.get_logger(__name__)

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

UpperCamelCase_     			=       {
    """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"""
        ),
    }
}

UpperCamelCase_     			=       {
    """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,
}

UpperCamelCase_     			=       {
    """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_  (_a    ):
       __lowerCAmelCase    :				Tuple    =      VOCAB_FILES_NAMES
       __lowerCAmelCase    :				Optional[Any]    =      PRETRAINED_VOCAB_FILES_MAP
       __lowerCAmelCase    :				Any    =      PRETRAINED_INIT_CONFIGURATION
       __lowerCAmelCase    :				int    =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __lowerCAmelCase    :				Union[str, Any]    =      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       :  str   				=					do_lower_case
         _lowerCAmelCase       :  str   				=					split_by_punct
         _lowerCAmelCase       :  Union[str, Any]   				=					vocab_file
         _lowerCAmelCase       :  Any   				=					False if not self.vocab_file else True




       def 							__UpperCamelCase       (     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       :  int   				=					[self.cls_token_id]
         _lowerCAmelCase       :  int   				=					[self.sep_token_id]
         return cls + token_ids_a + sep + token_ids_a + sep




       def 							__UpperCamelCase       (     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 							__UpperCamelCase       (     self   ,   snake_case_   ,   snake_case_=None  ):
         _lowerCAmelCase       :  Optional[int]   				=					[self.sep_token_id]
         _lowerCAmelCase       :  Tuple   				=					[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   ,   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       :  str   				=					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_torch_available, is_vision_available


UpperCamelCase_     			=       {
    """configuration_deformable_detr""": ["""DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DeformableDetrConfig"""],
}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCamelCase_     			=       ["""DeformableDetrFeatureExtractor"""]
     UpperCamelCase_     			=       ["""DeformableDetrImageProcessor"""]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCamelCase_     			=       [
         """DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """DeformableDetrForObjectDetection""",
         """DeformableDetrModel""",
         """DeformableDetrPreTrainedModel""",
     ]


if TYPE_CHECKING:
     from .configuration_deformable_detr import DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DeformableDetrConfig

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .feature_extraction_deformable_detr import DeformableDetrFeatureExtractor
          from .image_processing_deformable_detr import DeformableDetrImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_deformable_detr import (
              DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
              DeformableDetrForObjectDetection,
              DeformableDetrModel,
              DeformableDetrPreTrainedModel,
          )

else:
     import sys

     UpperCamelCase_     			=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


