





'''simple docstring'''

import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__lowerCAmelCase							:     str		     =logging.get_logger(__name__)


__lowerCAmelCase							:     Any		     ={
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

__lowerCAmelCase							:     Dict		     ={
    'vocab_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'
    },
    'merges_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'
    },
    'tokenizer_config_file': {
        'facebook/blenderbot_small-90M': (
            'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'
        )
    },
}

__lowerCAmelCase							:     Optional[Any]		     ={'facebook/blenderbot_small-90M': 512}





def 						UpperCamelCase    (							_lowerCamelCase : List[str]	):
    A__    =      set()
    A__    =      word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)	)
        A__    =      char

    A__    =      set(snake_case_	)
    return pairs






class 					UpperCAmelCase     (	_lowerCAmelCase    ):
 __lowercase       		=    VOCAB_FILES_NAMES
 __lowercase       		=    PRETRAINED_VOCAB_FILES_MAP
 __lowercase       		=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowercase       		=    ["input_ids", "attention_mask"]
 def __init__(    self				:Optional[Any]						,	lowercase_				:List[str]						,	lowercase_				:List[Any]						,	lowercase_				:int="__start__"						,	lowercase_				:List[Any]="__end__"						,	lowercase_				:List[Any]="__unk__"						,	lowercase_				:Any="__null__"						,	**lowercase_				:Union[str, Any]						,	)->							Optional[int]:
     super().__init__(unk_token=_lowercase						,	bos_token=_lowercase						,	eos_token=_lowercase						,	pad_token=_lowercase						,	**_lowercase							)

     with open(_lowercase						,	encoding="utf-8"							) as vocab_handle:
         A__    =      json.load(_lowercase							)
     A__    =      {v: k for k, v in self.encoder.items()}
     with open(_lowercase						,	encoding="utf-8"							) as merges_handle:
         A__    =      merges_handle.read().split("\n"							)[1:-1]
     A__    =      [tuple(merge.split()							) for merge in merges]
     A__    =      dict(zip(_lowercase						,	range(len(_lowercase							)							)							)							)
     A__    =      {}
 @property
 def 					UpperCAmelCase_							(    self				:str							)->							int:
     return len(self.encoder							)
 def 					UpperCAmelCase_							(    self				:Any							)->							int:
     return dict(self.encoder						,	**self.added_tokens_encoder							)
 def 					UpperCAmelCase_							(    self				:Union[str, Any]						,	lowercase_				:str							)->							Any:
     if token in self.cache:
         return self.cache[token]
     A__    =      re.sub("([.,!?()])"						,	R" \1"						,	_lowercase							)
     A__    =      re.sub("(\')"						,	R" \1 "						,	_lowercase							)
     A__    =      re.sub(R"\s{2,}"						,	" "						,	_lowercase							)
     if "\n" in token:
         A__    =      token.replace("\n"						,	" __newln__"							)

     A__    =      token.split(" "							)
     A__    =      []
     for token in tokens:
         if not len(_lowercase							):
             continue

         A__    =      token.lower()
         A__    =      tuple(_lowercase							)
         A__    =      tuple(list(word[:-1]							) + [word[-1] + "</w>"]							)
         A__    =      get_pairs(_lowercase							)

         if not pairs:
             words.append(_lowercase							)
             continue

         while True:
             A__    =      min(_lowercase						,	key=lambda lowercase_							: self.bpe_ranks.get(_lowercase						,	float("inf"							)							)							)
             if bigram not in self.bpe_ranks:
                 break
             A__,     A__    =      bigram
             A__    =      []
             A__    =      0

             while i < len(_lowercase							):
                 try:
                     A__    =      word.index(_lowercase						,	_lowercase							)
                     new_word.extend(word[i:j]							)
                     A__    =      j
                 except ValueError:
                     new_word.extend(word[i:]							)
                     break

                 if word[i] == first and i < len(_lowercase							) - 1 and word[i + 1] == second:
                     new_word.append(first + second							)
                     i += 2
                 else:
                     new_word.append(word[i]							)
                     i += 1
             A__    =      tuple(_lowercase							)
             A__    =      new_word
             if len(_lowercase							) == 1:
                 break
             else:
                 A__    =      get_pairs(_lowercase							)
         A__    =      "@@ ".join(_lowercase							)
         A__    =      word[:-4]

         A__    =      word
         words.append(_lowercase							)
     return " ".join(_lowercase							)
 def 					UpperCAmelCase_							(    self				:List[Any]						,	lowercase_				:str							)->							str:
     A__    =      []

     A__    =      re.findall(R"\S+\n?"						,	_lowercase							)

     for token in words:
         split_tokens.extend(list(self.bpe(_lowercase							).split(" "							)							)							)
     return split_tokens
 def 					UpperCAmelCase_							(    self				:List[str]						,	lowercase_				:str							)->							Optional[int]:
     A__    =      token.lower()
     return self.encoder.get(_lowercase						,	self.encoder.get(self.unk_token							)							)
 def 					UpperCAmelCase_							(    self				:List[str]						,	lowercase_				:int							)->							Dict:
     return self.decoder.get(_lowercase						,	self.unk_token							)
 def 					UpperCAmelCase_							(    self				:int						,	lowercase_				:List[str]							)->							Tuple:
     A__    =      " ".join(_lowercase							).replace("@@ "						,	""							).strip()
     return out_string



 def 					UpperCAmelCase_							(    self				:Optional[int]						,	lowercase_				:str						,	lowercase_				:Optional[str] = None							)->							List[str]:
     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"]							)
     A__    =      os.path.join(
         _lowercase						,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]							)

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

     A__    =      0
     with open(_lowercase						,	"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 lowercase_							: 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!"							)
                 A__    =      token_index
             writer.write(" ".join(_lowercase							) + "\n"							)
             index += 1

     return vocab_file, merge_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__)



