





'''simple docstring'''

import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
  from .tokenization_pegasus import PegasusTokenizer
else:
  __lowerCAmelCase							:     List[Any]		     =None


__lowerCAmelCase							:     Any		     =logging.get_logger(__name__)


__lowerCAmelCase							:     str		     ="▁"

__lowerCAmelCase							:     str		     ={"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

__lowerCAmelCase							:     Dict		     ={
    "vocab_file": {"google/pegasus-xsum": "https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model"},
    "tokenizer_file": {
        "google/pegasus-xsum": "https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json"
    },
}

__lowerCAmelCase							:     Dict		     ={
    "google/pegasus-xsum": 512,
}






class        UpperCAmelCase     (	UpperCamelCase__    ):
 __lowercase       		=    VOCAB_FILES_NAMES
 __lowercase       		=    PRETRAINED_VOCAB_FILES_MAP
 __lowercase       		=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowercase       		=    PegasusTokenizer
 __lowercase       		=    ["""input_ids""", """attention_mask"""]
 def __init__(    self				:List[Any]						,	lowercase_				:Dict=None						,	lowercase_				:Tuple=None						,	lowercase_				:List[str]="<pad>"						,	lowercase_				:Union[str, Any]="</s>"						,	lowercase_				:Optional[int]="<unk>"						,	lowercase_				:int="<mask_2>"						,	lowercase_				:Optional[int]="<mask_1>"						,	lowercase_				:List[str]=None						,	lowercase_				:str=1_03						,	**lowercase_				:Optional[Any]						,	)->							str:
     A__    =      offset

     if additional_special_tokens is not None:
         if not isinstance(lowercase_						,	lowercase_							):
             raise TypeError(
                 F"additional_special_tokens should be of type {type(lowercase_							)}, but is"
                 F" {type(lowercase_							)}"							)

         A__    =      (
             ([mask_token_sent] + additional_special_tokens)
             if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
             else additional_special_tokens
         )
         # fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
         additional_special_tokens_extended += [
             F"<unk_{i}>" for i in range(len(lowercase_							)						,	self.offset - 1							)
         ]

         if len(set(lowercase_							)							) != len(lowercase_							):
             raise ValueError(
                 "Please make sure that the provided additional_special_tokens do not contain an incorrectly"
                 F" shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}."							)
         A__    =      additional_special_tokens_extended
     else:
         A__    =      [mask_token_sent] if mask_token_sent is not None else []
         additional_special_tokens += [F"<unk_{i}>" for i in range(2						,	self.offset							)]

     super().__init__(
         lowercase_						,	tokenizer_file=lowercase_						,	pad_token=lowercase_						,	eos_token=lowercase_						,	unk_token=lowercase_						,	mask_token=lowercase_						,	mask_token_sent=lowercase_						,	offset=lowercase_						,	additional_special_tokens=lowercase_						,	**lowercase_						,	)
     A__    =      vocab_file
     A__    =      False if not self.vocab_file else True
 def 					UpperCAmelCase_							(    self				:Tuple						,	lowercase_				:int							)->							Optional[int]:
     A__    =      set(self.all_special_ids							)  # call it once instead of inside list comp
     all_special_ids.remove(self.unk_token_id							)  # <unk> is only sometimes special

     if all_special_ids != set(range(len(self.additional_special_tokens							) + 3							)							):
         raise ValueError(
             "There should be 3 special tokens: mask_token, pad_token, and eos_token +"
             F" {len(self.additional_special_tokens							)} additional_special_tokens, but got {all_special_ids}"							)

     return [1 if x in all_special_ids else 0 for x in seq]
 def 					UpperCAmelCase_							(    self				:Optional[Any]						,	lowercase_				:List						,	lowercase_				:Optional[List] = None						,	lowercase_				:bool = False							)->							List[int]:
     if already_has_special_tokens:
         return self._special_token_mask(lowercase_							)
     elif token_ids_a is None:
         return self._special_token_mask(lowercase_							) + [1]
     else:
         return self._special_token_mask(token_ids_a + token_ids_a							) + [1]
 def 					UpperCAmelCase_							(    self				:List[Any]						,	lowercase_				:int						,	lowercase_				:Tuple=None							)->							List[int]:
     if token_ids_a is None:
         return token_ids_a + [self.eos_token_id]
     # We don't expect to process pairs, but leave the pair logic for API consistency
     return token_ids_a + token_ids_a + [self.eos_token_id]



 def 					UpperCAmelCase_							(    self				:str						,	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
     A__    =      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'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCAmelCase							:     Any		     ={
    "configuration_swinv2": ["SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swinv2Config"],
}


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __lowerCAmelCase							:     Tuple		     =[
      "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

  __lowerCAmelCase							:     List[Any]		     =_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



