





import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowercase						:      Any									= logging.get_logger(__name__)


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

lowercase						:      str									= {
    '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'
        ),
    },
}

lowercase						:      List[str]									= {
    '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,
}




@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 			_SCREAMING_SNAKE_CASE      (	)      ->					int:






							'''simple docstring'''





							__UpperCamelCase			:     Optional[Any]         =      (
							    list(range(ord("!")		,						ord("~") + 1)) + list(range(ord("¡")		,						ord("¬") + 1)) + list(range(ord("®")		,						ord("ÿ") + 1))
							)
							__UpperCamelCase			:     Optional[Any]         =      bs[:]
							__UpperCamelCase			:     Any         =      0
							for b in range(2**8):
														if b not in bs:
																					bs.append(__A)
																					cs.append(2**8 + n)
																					n += 1
							__UpperCamelCase			:     List[str]         =      [chr(__A) for n in cs]
							return dict(zip(__A		,						__A))




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    Dict)      ->					Union[str, Any]:






							'''simple docstring'''





							__UpperCamelCase			:     int         =      set()
							__UpperCamelCase			:     Optional[int]         =      word[0]
							for char in word[1:]:
														pairs.add((prev_char, char))
														__UpperCamelCase			:     Any         =      char
							return pairs




class 				lowerCamelCase__							(       __A):




	'''simple docstring'''




	_A			=  VOCAB_FILES_NAMES
	_A			=  PRETRAINED_VOCAB_FILES_MAP
	_A			=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_A			=  ['input_ids', 'attention_mask']







	def __init__(      self	:Tuple  ,     a	:int  ,     a	:List[Any]  ,     a	:Optional[int]="replace"  ,     a	:Optional[int]="<s>"  ,     a	:Any="</s>"  ,     a	:List[str]="</s>"  ,     a	:List[str]="<s>"  ,     a	:Optional[Any]="<unk>"  ,     a	:Optional[int]="<pad>"  ,     a	:List[Any]="<mask>"  ,     a	:List[Any]=False  ,     **a	:int  ,     )	->				int:
								__UpperCamelCase			:     Optional[int]         =      AddedToken(a  ,     lstrip=a  ,     rstrip=a		) if isinstance(a  ,     a		) else bos_token
								__UpperCamelCase			:     Tuple         =      AddedToken(a  ,     lstrip=a  ,     rstrip=a		) if isinstance(a  ,     a		) else eos_token
								__UpperCamelCase			:     Tuple         =      AddedToken(a  ,     lstrip=a  ,     rstrip=a		) if isinstance(a  ,     a		) else sep_token
								__UpperCamelCase			:     Tuple         =      AddedToken(a  ,     lstrip=a  ,     rstrip=a		) if isinstance(a  ,     a		) else cls_token
								__UpperCamelCase			:     List[Any]         =      AddedToken(a  ,     lstrip=a  ,     rstrip=a		) if isinstance(a  ,     a		) else unk_token
								__UpperCamelCase			:     str         =      AddedToken(a  ,     lstrip=a  ,     rstrip=a		) if isinstance(a  ,     a		) else pad_token

								# Mask token behave like a normal word, i.e. include the space before it
								__UpperCamelCase			:     Optional[Any]         =      AddedToken(a  ,     lstrip=a  ,     rstrip=a		) if isinstance(a  ,     a		) else mask_token

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

								with open(a  ,     encoding="utf-8"		) as vocab_handle:
															__UpperCamelCase			:     Dict         =      json.load(a		)
								__UpperCamelCase			:     str         =      {v: k for k, v in self.encoder.items()}
								__UpperCamelCase			:     Dict         =      errors  # how to handle errors in decoding
								__UpperCamelCase			:     Any         =      bytes_to_unicode()
								__UpperCamelCase			:     Union[str, Any]         =      {v: k for k, v in self.byte_encoder.items()}
								with open(a  ,     encoding="utf-8"		) as merges_handle:
															__UpperCamelCase			:     Union[str, Any]         =      merges_handle.read().split("\n"		)[1:-1]
								__UpperCamelCase			:     List[str]         =      [tuple(merge.split()		) for merge in bpe_merges]
								__UpperCamelCase			:     List[Any]         =      dict(zip(a  ,     range(len(a		)		)		)		)
								__UpperCamelCase			:     List[Any]         =      {}
								__UpperCamelCase			:     Tuple         =      add_prefix_space

								# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
								__UpperCamelCase			:     Any         =      re.compile(r"\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"		)







	@property
	def      _lowerCamelCase       (      self	:Optional[int]		)	->				int:
								return len(self.encoder		)







	def      _lowerCamelCase       (      self	:Optional[int]		)	->				Optional[Any]:
								return dict(self.encoder  ,     **self.added_tokens_encoder		)







	def      _lowerCamelCase       (      self	:Any  ,     a	:Union[str, Any]		)	->				List[str]:

								if token in self.cache:
															return self.cache[token]
								__UpperCamelCase			:     Optional[int]         =      tuple(a		)
								__UpperCamelCase			:     Any         =      get_pairs(a		)

								if not pairs:
															return token

								while True:
															__UpperCamelCase			:     List[str]         =      min(a  ,     key=lambda a		: self.bpe_ranks.get(a  ,     float("inf"		)		)		)
															if bigram not in self.bpe_ranks:
																						break
															__UpperCamelCase			:     List[str]         =      bigram
															__UpperCamelCase			:     List[str]         =      []
															__UpperCamelCase			:     Union[str, Any]         =      0
															while i < len(a		):
																						try:
																													__UpperCamelCase			:     List[Any]         =      word.index(a  ,     a		)
																						except ValueError:
																													new_word.extend(word[i:]		)
																													break
																						else:
																													new_word.extend(word[i:j]		)
																													__UpperCamelCase			:     List[str]         =      j

																						if word[i] == first and i < len(a		) - 1 and word[i + 1] == second:
																													new_word.append(first + second		)
																													i += 2
																						else:
																													new_word.append(word[i]		)
																													i += 1
															__UpperCamelCase			:     Optional[int]         =      tuple(a		)
															__UpperCamelCase			:     Any         =      new_word
															if len(a		) == 1:
																						break
															else:
																						__UpperCamelCase			:     Optional[int]         =      get_pairs(a		)
								__UpperCamelCase			:     Dict         =      ''' '''.join(a		)
								__UpperCamelCase			:     int         =      word
								return word







	def      _lowerCamelCase       (      self	:Union[str, Any]  ,     a	:int		)	->				Tuple:
								__UpperCamelCase			:     str         =      []
								for token in re.findall(self.pat  ,     a		):
															__UpperCamelCase			:     Union[str, Any]         =      ''''''.join(
															    self.byte_encoder[b] for b in token.encode("utf-8"		)		)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
															bpe_tokens.extend(bpe_token for bpe_token in self.bpe(a		).split(" "		)		)
								return bpe_tokens







	def      _lowerCamelCase       (      self	:Optional[Any]  ,     a	:Optional[Any]		)	->				Optional[int]:
								return self.encoder.get(a  ,     self.encoder.get(self.unk_token		)		)







	def      _lowerCamelCase       (      self	:Tuple  ,     a	:int		)	->				List[str]:
								return self.decoder.get(a		)







	def      _lowerCamelCase       (      self	:Union[str, Any]  ,     a	:Optional[Any]		)	->				List[str]:
								__UpperCamelCase			:     Union[str, Any]         =      ''''''.join(a		)
								__UpperCamelCase			:     Optional[int]         =      bytearray([self.byte_decoder[c] for c in text]		).decode("utf-8"  ,     errors=self.errors		)
								return text







	def      _lowerCamelCase       (      self	:Dict  ,     a	:str  ,     a	:Optional[str] = None		)	->				Tuple[str]:

								if not os.path.isdir(a		):
															logger.error(f'Vocabulary path ({save_directory}) should be a directory'		)
															return
								__UpperCamelCase			:     Any         =      os.path.join(
								    a  ,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)
								__UpperCamelCase			:     int         =      os.path.join(
								    a  ,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]		)

								with open(a  ,     "w"  ,     encoding="utf-8"		) as f:
															f.write(json.dumps(self.encoder  ,     indent=2  ,     sort_keys=a  ,     ensure_ascii=a		) + "\n"		)

								__UpperCamelCase			:     Optional[int]         =      0
								with open(a  ,     "w"  ,     encoding="utf-8"		) as writer:
															writer.write("#version: 0.2\n"		)
															for bpe_tokens, token_index in sorted(self.bpe_ranks.items()  ,     key=lambda a		: kv[1]		):
																						if index != token_index:
																													logger.warning(
																													    f'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
																													    " Please check that the tokenizer is not corrupted!"		)
																													__UpperCamelCase			:     Tuple         =      token_index
																						writer.write(" ".join(a		) + "\n"		)
																						index += 1

								return vocab_file, merge_file







	def      _lowerCamelCase       (      self	:Dict  ,     a	:List[int]  ,     a	:Optional[List[int]] = None		)	->				List[int]:

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







	def      _lowerCamelCase       (      self	:Union[str, Any]  ,     a	:List[int]  ,     a	:Optional[List[int]] = None  ,     a	:bool = False		)	->				List[int]:

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

								if token_ids_a is None:
															return [1] + ([0] * len(a		)) + [1]
								return [1] + ([0] * len(a		)) + [1, 1] + ([0] * len(a		)) + [1]







	def      _lowerCamelCase       (      self	:Any  ,     a	:List[int]  ,     a	:Optional[List[int]] = None		)	->				List[int]:
								__UpperCamelCase			:     Union[str, Any]         =      [self.sep_token_id]
								__UpperCamelCase			:     Optional[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 + sep + token_ids_a + sep		) * [0]







	def      _lowerCamelCase       (      self	:Any  ,     a	:List[str]  ,     a	:Optional[Any]=False  ,     **a	:Optional[int]		)	->				Tuple:
								__UpperCamelCase			:     List[str]         =      kwargs.pop("add_prefix_space"  ,     self.add_prefix_space		)
								if (is_split_into_words or add_prefix_space) and (len(a		) > 0 and not text[0].isspace()):
															__UpperCamelCase			:     Union[str, Any]         =      ''' ''' + text
								return (text, kwargs)

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase						:      Tuple									= {
    'configuration_swinv2': ['SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP', 'Swinv2Config'],
}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase						:      Union[str, Any]									= [
		    'SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'Swinv2ForImageClassification',
		    'Swinv2ForMaskedImageModeling',
		    'Swinv2Model',
		    'Swinv2PreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_swinva import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinvaConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_swinva import (
				    SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
				    SwinvaForImageClassification,
				    SwinvaForMaskedImageModeling,
				    SwinvaModel,
				    SwinvaPreTrainedModel,
				)


else:
		import sys

		lowercase						:      Optional[Any]									= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)