






"""simple docstring"""

import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_longformer import LongformerTokenizer


lowercase           =							logging.get_logger(__name__)

lowercase           =							{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

lowercase           =							{
    '''vocab_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''allenai/longformer-base-4096''': (
            '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/tokenizer.json'''
        ),
    },
}

lowercase           =							{
    '''allenai/longformer-base-4096''': 4096,
    '''allenai/longformer-large-4096''': 4096,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 4096,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 4096,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 4096,
}

class     A_				(   _lowercase	):
				UpperCAmelCase__										=					VOCAB_FILES_NAMES
				UpperCAmelCase__										=					PRETRAINED_VOCAB_FILES_MAP
				UpperCAmelCase__										=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCAmelCase__										=					['''input_ids''', '''attention_mask''']
				UpperCAmelCase__										=					LongformerTokenizer







				def __init__(				self				:    Any    ,     __lowerCamelCase				:    int=None    ,     __lowerCamelCase				:    Optional[Any]=None    ,     __lowerCamelCase				:    List[str]=None    ,     __lowerCamelCase				:    Any="replace"    ,     __lowerCamelCase				:    str="<s>"    ,     __lowerCamelCase				:    Union[str, Any]="</s>"    ,     __lowerCamelCase				:    List[str]="</s>"    ,     __lowerCamelCase				:    Dict="<s>"    ,     __lowerCamelCase				:    Dict="<unk>"    ,     __lowerCamelCase				:    Any="<pad>"    ,     __lowerCamelCase				:    Optional[Any]="<mask>"    ,     __lowerCamelCase				:    List[str]=False    ,     __lowerCamelCase				:    Tuple=True    ,     **__lowerCamelCase				:    str    ,     )					->       List[str]:
										super().__init__(
										    lowerCamelCase__    ,     lowerCamelCase__    ,     tokenizer_file=lowerCamelCase__    ,     errors=lowerCamelCase__    ,     bos_token=lowerCamelCase__    ,     eos_token=lowerCamelCase__    ,     sep_token=lowerCamelCase__    ,     cls_token=lowerCamelCase__    ,     unk_token=lowerCamelCase__    ,     pad_token=lowerCamelCase__    ,     mask_token=lowerCamelCase__    ,     add_prefix_space=lowerCamelCase__    ,     trim_offsets=lowerCamelCase__    ,     **lowerCamelCase__    ,     )

										__magic_name__      =  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()						)
										if pre_tok_state.get("add_prefix_space"    ,     lowerCamelCase__						) != add_prefix_space:
																__magic_name__      =  getattr(lowerCamelCase__    ,     pre_tok_state.pop("type"						)						)
																__magic_name__      =  add_prefix_space
																__magic_name__      =  pre_tok_class(**lowerCamelCase__						)

										__magic_name__      =  add_prefix_space

										__magic_name__      =  "post_processor"
										__magic_name__      =  getattr(self.backend_tokenizer    ,     lowerCamelCase__    ,     lowerCamelCase__						)
										if tokenizer_component_instance:
																__magic_name__      =  json.loads(tokenizer_component_instance.__getstate__()						)

																# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
																if "sep" in state:
																						__magic_name__      =  tuple(state["sep"]						)
																if "cls" in state:
																						__magic_name__      =  tuple(state["cls"]						)

																__magic_name__      =  False

																if state.get("add_prefix_space"    ,     lowerCamelCase__						) != add_prefix_space:
																						__magic_name__      =  add_prefix_space
																						__magic_name__      =  True

																if state.get("trim_offsets"    ,     lowerCamelCase__						) != trim_offsets:
																						__magic_name__      =  trim_offsets
																						__magic_name__      =  True

																if changes_to_apply:
																						__magic_name__      =  getattr(lowerCamelCase__    ,     state.pop("type"						)						)
																						__magic_name__      =  component_class(**lowerCamelCase__						)
																						setattr(self.backend_tokenizer    ,     lowerCamelCase__    ,     lowerCamelCase__						)







				@property
				def      _snake_case       (				self				:    Optional[Any]						)					->       str:




										if self._mask_token is None:
																if self.verbose:
																						logger.error("Using mask_token, but it is not set yet."						)
																return None
										return str(self._mask_token						)







				@mask_token.setter
				def      _snake_case       (				self				:    List[str]    ,     __lowerCamelCase				:    Dict						)					->       str:
										__magic_name__      =  AddedToken(lowerCamelCase__    ,     lstrip=lowerCamelCase__    ,     rstrip=lowerCamelCase__						) if isinstance(lowerCamelCase__    ,     lowerCamelCase__						) else value
										__magic_name__      =  value







				def      _snake_case       (				self				:    Optional[Any]    ,     *__lowerCamelCase				:    str    ,     **__lowerCamelCase				:    int						)					->       BatchEncoding:
										__magic_name__      =  kwargs.get("is_split_into_words"    ,     lowerCamelCase__						)
										assert self.add_prefix_space or not is_split_into_words, (
										    f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
										    "to use it with pretokenized inputs."
										)

										return super()._batch_encode_plus(*lowerCamelCase__    ,     **lowerCamelCase__						)







				def      _snake_case       (				self				:    Dict    ,     *__lowerCamelCase				:    str    ,     **__lowerCamelCase				:    List[Any]						)					->       BatchEncoding:
										__magic_name__      =  kwargs.get("is_split_into_words"    ,     lowerCamelCase__						)

										assert self.add_prefix_space or not is_split_into_words, (
										    f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
										    "to use it with pretokenized inputs."
										)

										return super()._encode_plus(*lowerCamelCase__    ,     **lowerCamelCase__						)







				def      _snake_case       (				self				:    List[str]    ,     __lowerCamelCase				:    int    ,     __lowerCamelCase				:    List[Any] = None						)					->       Tuple[str]:
										__magic_name__      =  self._tokenizer.model.save(lowerCamelCase__    ,     name=lowerCamelCase__						)
										return tuple(lowerCamelCase__						)







				def      _snake_case       (				self				:    Union[str, Any]    ,     __lowerCamelCase				:    Tuple    ,     __lowerCamelCase				:    Optional[Any]=None						)					->       str:
										__magic_name__      =  [self.bos_token_id] + token_ids_a + [self.eos_token_id]
										if token_ids_a is None:
																return output

										return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







				def      _snake_case       (				self				:    Optional[int]    ,     __lowerCamelCase				:    Any    ,     __lowerCamelCase				:    Optional[int] = None						)					->       List[int]:
										__magic_name__      =  [self.sep_token_id]
										__magic_name__      =  [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 + sep + token_ids_a + sep						) * [0]







"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


lowercase  		=			{
    """configuration_mobilevitv2""": [
        """MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """MobileViTV2Config""",
        """MobileViTV2OnnxConfig""",
    ],
}


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase  		=			[
					    """MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """MobileViTV2ForImageClassification""",
					    """MobileViTV2ForSemanticSegmentation""",
					    """MobileViTV2Model""",
					    """MobileViTV2PreTrainedModel""",
					]

if TYPE_CHECKING:
					from .configuration_mobilevitva import (
					    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    MobileViTVaConfig,
					    MobileViTVaOnnxConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_mobilevitva import (
										    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MobileViTVaForImageClassification,
										    MobileViTVaForSemanticSegmentation,
										    MobileViTVaModel,
										    MobileViTVaPreTrainedModel,
										)

else:
					import sys

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





