






'''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


lowerCamelCase_					:			Any     						=				logging.get_logger(__name__)

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

lowerCamelCase_					:			int     						=				{
    '''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'''
        ),
    },
}

lowerCamelCase_					:			Dict     						=				{
    '''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  _SCREAMING_SNAKE_CASE				(		SCREAMING_SNAKE_CASE						):


			'''simple docstring'''





			__a				:				Optional[Any]         =       VOCAB_FILES_NAMES
			__a				:				Union[str, Any]         =       PRETRAINED_VOCAB_FILES_MAP
			__a				:				List[Any]         =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__a				:				Any         =       ["input_ids", "attention_mask"]
			__a				:				Tuple         =       LongformerTokenizer






			def __init__( self				:    List[Any]			,   lowercase				:    Any=None			,   lowercase				:    Any=None			,   lowercase				:    List[Any]=None			,   lowercase				:    Union[str, Any]="replace"			,   lowercase				:    int="<s>"			,   lowercase				:    Optional[Any]="</s>"			,   lowercase				:    Dict="</s>"			,   lowercase				:    int="<s>"			,   lowercase				:    Any="<unk>"			,   lowercase				:    List[str]="<pad>"			,   lowercase				:    Optional[int]="<mask>"			,   lowercase				:    Any=False			,   lowercase				:    Optional[Any]=True			,   **lowercase				:    Union[str, Any]			,   )				->     int:

									'''simple docstring'''







									super().__init__(
									    lowercase			,   lowercase			,   tokenizer_file=lowercase			,   errors=lowercase			,   bos_token=lowercase			,   eos_token=lowercase			,   sep_token=lowercase			,   cls_token=lowercase			,   unk_token=lowercase			,   pad_token=lowercase			,   mask_token=lowercase			,   add_prefix_space=lowercase			,   trim_offsets=lowercase			,   **lowercase			,   )

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

									UpperCamelCase__       =			add_prefix_space

									UpperCamelCase__       =			"""post_processor"""
									UpperCamelCase__       =			getattr(self.backend_tokenizer			,   lowercase			,   lowercase      )
									if tokenizer_component_instance:
															UpperCamelCase__       =			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:
																					UpperCamelCase__       =			tuple(state["""sep"""]      )
															if "cls" in state:
																					UpperCamelCase__       =			tuple(state["""cls"""]      )

															UpperCamelCase__       =			False

															if state.get("""add_prefix_space"""			,   lowercase      ) != add_prefix_space:
																					UpperCamelCase__       =			add_prefix_space
																					UpperCamelCase__       =			True

															if state.get("""trim_offsets"""			,   lowercase      ) != trim_offsets:
																					UpperCamelCase__       =			trim_offsets
																					UpperCamelCase__       =			True

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






			@property
			def 					A   ( self				:    int      )				->     str:

									'''simple docstring'''







									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 					A   ( self				:    int			,   lowercase				:    Any      )				->     int:

									'''simple docstring'''







									UpperCamelCase__       =			AddedToken(lowercase			,   lstrip=lowercase			,   rstrip=lowercase      ) if isinstance(lowercase			,   lowercase      ) else value
									UpperCamelCase__       =			value






			def 					A   ( self				:    int			,   *lowercase				:    Tuple			,   **lowercase				:    Any      )				->     BatchEncoding:

									'''simple docstring'''







									UpperCamelCase__       =			kwargs.get("""is_split_into_words"""			,   lowercase      )
									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(*lowercase			,   **lowercase      )






			def 					A   ( self				:    int			,   *lowercase				:    Any			,   **lowercase				:    Dict      )				->     BatchEncoding:

									'''simple docstring'''







									UpperCamelCase__       =			kwargs.get("""is_split_into_words"""			,   lowercase      )

									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(*lowercase			,   **lowercase      )






			def 					A   ( self				:    Any			,   lowercase				:    str			,   lowercase				:    Optional[str] = None      )				->     Tuple[str]:

									'''simple docstring'''







									UpperCamelCase__       =			self._tokenizer.model.save(lowercase			,   name=lowercase      )
									return tuple(lowercase      )






			def 					A   ( self				:    str			,   lowercase				:    Dict			,   lowercase				:    int=None      )				->     List[str]:

									'''simple docstring'''







									UpperCamelCase__       =			[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 					A   ( self				:    str			,   lowercase				:    List[int]			,   lowercase				:    Optional[List[int]] = None      )				->     List[int]:

									'''simple docstring'''







									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 + sep + token_ids_a + sep      ) * [0]








'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


lowerCamelCase_					:			str     						=				{'''configuration_hubert''': ['''HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''HubertConfig''']}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCamelCase_					:			Union[str, Any]     						=				[
					    '''HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''HubertForCTC''',
					    '''HubertForSequenceClassification''',
					    '''HubertModel''',
					    '''HubertPreTrainedModel''',
					]


try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCamelCase_					:			Optional[Any]     						=				[
					    '''TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''TFHubertForCTC''',
					    '''TFHubertModel''',
					    '''TFHubertPreTrainedModel''',
					]

if TYPE_CHECKING:
					from .configuration_hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_hubert import (
										    HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    HubertForCTC,
										    HubertForSequenceClassification,
										    HubertModel,
										    HubertPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_hubert import (
										    TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFHubertForCTC,
										    TFHubertModel,
										    TFHubertPreTrainedModel,
										)


else:
					import sys

					lowerCamelCase_					:			Dict     						=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
