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""": 1024,
}







@lru_cache()
def 						UpperCAmelCase							(		)						->						Dict:
     a	:     str						      =    (
         list(range(ord('''!'''							)    ,   ord('''~'''							) + 1							)							) + list(range(ord('''¡'''							)    ,   ord('''¬'''							) + 1							)							) + list(range(ord('''®'''							)    ,   ord('''ÿ'''							) + 1							)							)
     )
     a	:     Tuple						      =    bs[:]
     a	:     Optional[Any]						      =    0
     for b in range(2**8							):
          if b not in bs:
               bs.append(UpperCAmelCase__							)
               cs.append(2**8 + n							)
               n += 1
     a	:     List[str]						      =    [chr(UpperCAmelCase__							) for n in cs]
     return dict(zip(UpperCAmelCase__    ,   UpperCAmelCase__							)							)







def 						UpperCAmelCase							(		lowerCAmelCase_							)						->						Dict:
     a	:     Any						      =    set()
     a	:     Optional[int]						      =    word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)							)
          a	:     Optional[int]						      =    char
     return pairs






class 				_SCREAMING_SNAKE_CASE( __lowerCamelCase						):
   UpperCamelCase_					:    Tuple			      = VOCAB_FILES_NAMES
   UpperCamelCase_					:    Any			      = PRETRAINED_VOCAB_FILES_MAP
   UpperCamelCase_					:    Any			      = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   UpperCamelCase_					:    int			      = ['input_ids', 'attention_mask']
   def __init__(     self				,  lowerCAmelCase_				,  lowerCAmelCase_				,  lowerCAmelCase_="replace"				,  lowerCAmelCase_="<s>"				,  lowerCAmelCase_="</s>"				,  lowerCAmelCase_="</s>"				,  lowerCAmelCase_="<s>"				,  lowerCAmelCase_="<unk>"				,  lowerCAmelCase_="<pad>"				,  lowerCAmelCase_="<mask>"				,  lowerCAmelCase_=False				,  **lowerCAmelCase_				,  )						->Optional[Any]:
        a	:     Union[str, Any]						      =    AddedToken(_lowercase				,  lstrip=_lowercase				,  rstrip=_lowercase     ) if isinstance(_lowercase				,  _lowercase     ) else bos_token
        a	:     List[str]						      =    AddedToken(_lowercase				,  lstrip=_lowercase				,  rstrip=_lowercase     ) if isinstance(_lowercase				,  _lowercase     ) else eos_token
        a	:     Any						      =    AddedToken(_lowercase				,  lstrip=_lowercase				,  rstrip=_lowercase     ) if isinstance(_lowercase				,  _lowercase     ) else sep_token
        a	:     int						      =    AddedToken(_lowercase				,  lstrip=_lowercase				,  rstrip=_lowercase     ) if isinstance(_lowercase				,  _lowercase     ) else cls_token
        a	:     Any						      =    AddedToken(_lowercase				,  lstrip=_lowercase				,  rstrip=_lowercase     ) if isinstance(_lowercase				,  _lowercase     ) else unk_token
        a	:     str						      =    AddedToken(_lowercase				,  lstrip=_lowercase				,  rstrip=_lowercase     ) if isinstance(_lowercase				,  _lowercase     ) else pad_token

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

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

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        a	:     int						      =    re.compile(r'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''     )
   @property
   def _lowercase(     self     )						->Optional[int]:
        return len(self.encoder     )
   def _lowercase(     self     )						->Dict:
        return dict(self.encoder				,  **self.added_tokens_encoder     )
   def _lowercase(     self				,  lowerCAmelCase_     )						->Any:
        if token in self.cache:
             return self.cache[token]
        a	:     Dict						      =    tuple(_lowercase     )
        a	:     Union[str, Any]						      =    get_pairs(_lowercase     )

        if not pairs:
             return token

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

                  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	:     Optional[Any]						      =    tuple(_lowercase     )
             a	:     List[str]						      =    new_word
             if len(_lowercase     ) == 1:
                  break
             else:
                  a	:     Union[str, Any]						      =    get_pairs(_lowercase     )
        a	:     Union[str, Any]						      =    ''' '''.join(_lowercase     )
        a	:     Dict						      =    word
        return word
   def _lowercase(     self				,  lowerCAmelCase_     )						->Dict:
        a	:     Dict						      =    []
        for token in re.findall(self.pat				,  _lowercase     ):
             a	:     Optional[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(_lowercase     ).split(''' '''     )     )
        return bpe_tokens
   def _lowercase(     self				,  lowerCAmelCase_     )						->str:
        return self.encoder.get(_lowercase				,  self.encoder.get(self.unk_token     )     )
   def _lowercase(     self				,  lowerCAmelCase_     )						->Tuple:
        return self.decoder.get(_lowercase     )
   def _lowercase(     self				,  lowerCAmelCase_     )						->int:
        a	:     int						      =    ''''''.join(_lowercase     )
        a	:     Union[str, Any]						      =    bytearray([self.byte_decoder[c] for c in text]     ).decode('''utf-8'''				,  errors=self.errors     )
        return text
   def _lowercase(     self				,  lowerCAmelCase_				,  lowerCAmelCase_ = None     )						->Tuple:
        if not os.path.isdir(_lowercase     ):
             logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""     )
             return
        a	:     Any						      =    os.path.join(
            _lowercase				,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']     )
        a	:     Union[str, Any]						      =    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	:     List[Any]						      =    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 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!'''     )
                       a	:     Optional[Any]						      =    token_index
                  writer.write(''' '''.join(_lowercase     ) + '''\n'''     )
                  index += 1

        return vocab_file, merge_file
   def _lowercase(     self				,  lowerCAmelCase_				,  lowerCAmelCase_ = None     )						->Tuple:
        if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        a	:     Any						      =    [self.cls_token_id]
        a	:     List[str]						      =    [self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep
   def _lowercase(     self				,  lowerCAmelCase_				,  lowerCAmelCase_ = None				,  lowerCAmelCase_ = False     )						->Dict:
        if already_has_special_tokens:
             return super().get_special_tokens_mask(
                 token_ids_a=_lowercase				,  token_ids_a=_lowercase				,  already_has_special_tokens=_lowercase     )

        if token_ids_a is None:
             return [1] + ([0] * len(_lowercase     )) + [1]
        return [1] + ([0] * len(_lowercase     )) + [1, 1] + ([0] * len(_lowercase     )) + [1]
   def _lowercase(     self				,  lowerCAmelCase_				,  lowerCAmelCase_ = None     )						->Optional[int]:
        a	:     Dict						      =    [self.sep_token_id]
        a	:     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 _lowercase(     self				,  lowerCAmelCase_				,  lowerCAmelCase_=False				,  **lowerCAmelCase_     )						->List[str]:
        a	:     int						      =    kwargs.pop('''add_prefix_space'''				,  self.add_prefix_space     )
        if (is_split_into_words or add_prefix_space) and (len(_lowercase     ) > 0 and not text[0].isspace()):
             a	:     Optional[int]						      =    ''' ''' + text
        return (text, kwargs)
"""simple docstring"""







from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
						if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.27.0""")):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import (
						    AudioLDMPipeline,
						)
else:
						from .pipeline_audioldm import AudioLDMPipeline

