



"""simple docstring"""
from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available
@dataclass
class    a		(					_a    ):
  UpperCamelCase		:			Tuple         =   {
      '''sld_warmup_steps''': 1_5,
      '''sld_guidance_scale''': 2_0,
      '''sld_threshold''': 0.0,
      '''sld_momentum_scale''': 0.0,
      '''sld_mom_beta''': 0.0,
  }
  UpperCamelCase		:			Optional[int]         =   {
      '''sld_warmup_steps''': 1_0,
      '''sld_guidance_scale''': 1_0_0_0,
      '''sld_threshold''': 0.01,
      '''sld_momentum_scale''': 0.3,
      '''sld_mom_beta''': 0.4,
  }
  UpperCamelCase		:			List[Any]         =   {
      '''sld_warmup_steps''': 7,
      '''sld_guidance_scale''': 2_0_0_0,
      '''sld_threshold''': 0.0_25,
      '''sld_momentum_scale''': 0.5,
      '''sld_mom_beta''': 0.7,
  }
  UpperCamelCase		:			Tuple         =   {
      '''sld_warmup_steps''': 0,
      '''sld_guidance_scale''': 5_0_0_0,
      '''sld_threshold''': 1.0,
      '''sld_momentum_scale''': 0.5,
      '''sld_mom_beta''': 0.7,
  }







@dataclass
class    a		(					_a    ):
  UpperCamelCase		:			Union[List[PIL.Image.Image], np.ndarray]
  UpperCamelCase		:			Optional[List[bool]]
  UpperCamelCase		:			Optional[Union[List[PIL.Image.Image], np.ndarray]]
  UpperCamelCase		:			Optional[str]


if is_transformers_available() and is_torch_available():
   from .pipeline_stable_diffusion_safe import StableDiffusionPipelineSafe
   from .safety_checker import SafeStableDiffusionSafetyChecker








"""simple docstring"""
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


_UpperCAmelCase       =     logging.get_logger(__name__)


_UpperCAmelCase       =     {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

# See all MVP models at https://huggingface.co/models?filter=mvp
_UpperCAmelCase       =     {
    """vocab_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json""",
    },
    """added_tokens.json""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json""",
    },
    """merges_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt""",
    },
}

_UpperCAmelCase       =     {
    """RUCAIBox/mvp""": 1_0_2_4,
}





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





def        __magic_name__			(							lowercase	):
   SCREAMING_SNAKE_CASE_:	Optional[int]            =set()
   SCREAMING_SNAKE_CASE_:	Tuple            =word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)	)
      SCREAMING_SNAKE_CASE_:	Dict            =char
   return pairs
class    a		(					UpperCAmelCase__    ):
  UpperCamelCase		:			str         =   VOCAB_FILES_NAMES
  UpperCamelCase		:			List[Any]         =   PRETRAINED_VOCAB_FILES_MAP
  UpperCamelCase		:			Optional[Any]         =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  UpperCamelCase		:			Optional[int]         =   ['input_ids', 'attention_mask']



  def __init__(  self	:   Tuple    ,						lowerCAmelCase	:   Dict    ,						lowerCAmelCase	:   str    ,						lowerCAmelCase	:   List[str]="replace"    ,						lowerCAmelCase	:   List[Any]="<s>"    ,						lowerCAmelCase	:   str="</s>"    ,						lowerCAmelCase	:   Dict="</s>"    ,						lowerCAmelCase	:   Optional[int]="<s>"    ,						lowerCAmelCase	:   int="<unk>"    ,						lowerCAmelCase	:   Optional[int]="<pad>"    ,						lowerCAmelCase	:   str="<mask>"    ,						lowerCAmelCase	:   Dict=False    ,						**lowerCAmelCase	:   Any    ,						)       ->   Dict:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:	Any            =AddedToken(lowerCAmelCase    ,						lstrip=lowerCAmelCase    ,						rstrip=lowerCAmelCase						) if isinstance(lowerCAmelCase    ,						lowerCAmelCase						) else bos_token
     SCREAMING_SNAKE_CASE_:	int            =AddedToken(lowerCAmelCase    ,						lstrip=lowerCAmelCase    ,						rstrip=lowerCAmelCase						) if isinstance(lowerCAmelCase    ,						lowerCAmelCase						) else eos_token
     SCREAMING_SNAKE_CASE_:	int            =AddedToken(lowerCAmelCase    ,						lstrip=lowerCAmelCase    ,						rstrip=lowerCAmelCase						) if isinstance(lowerCAmelCase    ,						lowerCAmelCase						) else sep_token
     SCREAMING_SNAKE_CASE_:	Dict            =AddedToken(lowerCAmelCase    ,						lstrip=lowerCAmelCase    ,						rstrip=lowerCAmelCase						) if isinstance(lowerCAmelCase    ,						lowerCAmelCase						) else cls_token
     SCREAMING_SNAKE_CASE_:	str            =AddedToken(lowerCAmelCase    ,						lstrip=lowerCAmelCase    ,						rstrip=lowerCAmelCase						) if isinstance(lowerCAmelCase    ,						lowerCAmelCase						) else unk_token
     SCREAMING_SNAKE_CASE_:	int            =AddedToken(lowerCAmelCase    ,						lstrip=lowerCAmelCase    ,						rstrip=lowerCAmelCase						) if isinstance(lowerCAmelCase    ,						lowerCAmelCase						) else pad_token

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

     super().__init__(
         errors=lowerCAmelCase    ,						bos_token=lowerCAmelCase    ,						eos_token=lowerCAmelCase    ,						unk_token=lowerCAmelCase    ,						sep_token=lowerCAmelCase    ,						cls_token=lowerCAmelCase    ,						pad_token=lowerCAmelCase    ,						mask_token=lowerCAmelCase    ,						add_prefix_space=lowerCAmelCase    ,						**lowerCAmelCase    ,						)
     with open(lowerCAmelCase    ,						encoding="""utf-8"""						) as vocab_handle:
        SCREAMING_SNAKE_CASE_:	Any            =json.load(lowerCAmelCase						)
     SCREAMING_SNAKE_CASE_:	Dict            ={v: k for k, v in self.encoder.items()}
     SCREAMING_SNAKE_CASE_:	Optional[Any]            =errors  # how to handle errors in decoding
     SCREAMING_SNAKE_CASE_:	Any            =bytes_to_unicode()
     SCREAMING_SNAKE_CASE_:	str            ={v: k for k, v in self.byte_encoder.items()}
     with open(lowerCAmelCase    ,						encoding="""utf-8"""						) as merges_handle:
        SCREAMING_SNAKE_CASE_:	Union[str, Any]            =merges_handle.read().split("""\n"""						)[1:-1]
     SCREAMING_SNAKE_CASE_:	Dict            =[tuple(merge.split()						) for merge in bpe_merges]
     SCREAMING_SNAKE_CASE_:	Any            =dict(zip(lowerCAmelCase    ,						range(len(lowerCAmelCase						)						)						)						)
     SCREAMING_SNAKE_CASE_:	int            ={}
     SCREAMING_SNAKE_CASE_:	Optional[int]            =add_prefix_space

     # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
     SCREAMING_SNAKE_CASE_:	Tuple            =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	:   int						)       ->   List[Any]:


     '''simple docstring'''




     return len(self.encoder						)



  def 		lowerCamelCase__    (  self	:   Dict						)       ->   Optional[Any]:


     '''simple docstring'''




     return dict(self.encoder    ,						**self.added_tokens_encoder						)



  def 		lowerCamelCase__    (  self	:   List[str]    ,						lowerCAmelCase	:   Union[str, Any]						)       ->   Any:


     '''simple docstring'''




     if token in self.cache:
        return self.cache[token]
     SCREAMING_SNAKE_CASE_:	Optional[Any]            =tuple(lowerCAmelCase						)
     SCREAMING_SNAKE_CASE_:	Union[str, Any]            =get_pairs(lowerCAmelCase						)

     if not pairs:
        return token

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

           if word[i] == first and i < len(lowerCAmelCase						) - 1 and word[i + 1] == second:
              new_word.append(first + second						)
              i += 2
           else:
              new_word.append(word[i]						)
              i += 1
        SCREAMING_SNAKE_CASE_:	Any            =tuple(lowerCAmelCase						)
        SCREAMING_SNAKE_CASE_:	str            =new_word
        if len(lowerCAmelCase						) == 1:
           break
        else:
           SCREAMING_SNAKE_CASE_:	List[str]            =get_pairs(lowerCAmelCase						)
     SCREAMING_SNAKE_CASE_:	Optional[Any]            =""" """.join(lowerCAmelCase						)
     SCREAMING_SNAKE_CASE_:	List[Any]            =word
     return word



  def 		lowerCamelCase__    (  self	:   Optional[int]    ,						lowerCAmelCase	:   Optional[int]						)       ->   Tuple:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:	Tuple            =[]
     for token in re.findall(self.pat    ,						lowerCAmelCase						):
        SCREAMING_SNAKE_CASE_:	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(lowerCAmelCase						).split(""" """						)						)
     return bpe_tokens



  def 		lowerCamelCase__    (  self	:   List[str]    ,						lowerCAmelCase	:   str						)       ->   str:


     '''simple docstring'''




     return self.encoder.get(lowerCAmelCase    ,						self.encoder.get(self.unk_token						)						)



  def 		lowerCamelCase__    (  self	:   Any    ,						lowerCAmelCase	:   Optional[Any]						)       ->   Optional[int]:


     '''simple docstring'''




     return self.decoder.get(lowerCAmelCase						)



  def 		lowerCamelCase__    (  self	:   Dict    ,						lowerCAmelCase	:   Optional[Any]						)       ->   Union[str, Any]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:	Optional[int]            ="""""".join(lowerCAmelCase						)
     SCREAMING_SNAKE_CASE_:	Dict            =bytearray([self.byte_decoder[c] for c in text]						).decode("""utf-8"""    ,						errors=self.errors						)
     return text



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


     '''simple docstring'''




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

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

     SCREAMING_SNAKE_CASE_:	Union[str, Any]            =0
     with open(lowerCAmelCase    ,						"""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 lowerCAmelCase						: 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!"""						)
              SCREAMING_SNAKE_CASE_:	Union[str, Any]            =token_index
           writer.write(""" """.join(lowerCAmelCase						) + """\n"""						)
           index += 1

     return vocab_file, merge_file



  def 		lowerCamelCase__    (  self	:   Any    ,						lowerCAmelCase	:   List[int]    ,						lowerCAmelCase	:   Optional[List[int]] = None						)       ->   List[int]:


     '''simple docstring'''




     if token_ids_a is None:
        return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     SCREAMING_SNAKE_CASE_:	List[str]            =[self.cls_token_id]
     SCREAMING_SNAKE_CASE_:	List[str]            =[self.sep_token_id]
     return cls + token_ids_a + sep + sep + token_ids_a + sep



  def 		lowerCamelCase__    (  self	:   List[str]    ,						lowerCAmelCase	:   List[int]    ,						lowerCAmelCase	:   Optional[List[int]] = None    ,						lowerCAmelCase	:   bool = False						)       ->   List[int]:


     '''simple docstring'''




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

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



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


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:	Optional[Any]            =[self.sep_token_id]
     SCREAMING_SNAKE_CASE_:	str            =[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	:   Optional[int]    ,						lowerCAmelCase	:   Optional[int]    ,						lowerCAmelCase	:   Union[str, Any]=False    ,						**lowerCAmelCase	:   str						)       ->   Any:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:	int            =kwargs.pop("""add_prefix_space"""    ,						self.add_prefix_space						)
     if (is_split_into_words or add_prefix_space) and (len(lowerCAmelCase						) > 0 and not text[0].isspace()):
        SCREAMING_SNAKE_CASE_:	List[Any]            =""" """ + text
     return (text, kwargs)



