
'''simple docstring'''
import os
import pathlib
import tempfile
import uuid

import numpy as np

from ..utils import is_soundfile_availble, is_torch_available, is_vision_available, logging


a_     =  logging.get_logger(__name__)

if is_vision_available():
  import PIL.Image
  from PIL import Image
  from PIL.Image import Image as ImageType
else:
  a_     =  object

if is_torch_available():
  import torch

if is_soundfile_availble():
  import soundfile as sf






class 				UpperCAmelCase_			:





 def __init__(      self	,    lowercase_):
     snake_case_	:      Optional[int]            =  value





 def __str__(      self):
     return self.to_string()





 def     snake_case__						(      self):
     logger.error(
         "This is a raw AgentType of unknown type. Display in notebooks and string conversion will be unreliable")
     return self._value





 def     snake_case__						(      self):
     logger.error(
         "This is a raw AgentType of unknown type. Display in notebooks and string conversion will be unreliable")
     return str(self._value)






class 				UpperCAmelCase_			(		snake_case__      ,  snake_case__   ):





 def     snake_case__						(      self):
     return self._value





 def     snake_case__						(      self):
     return self._value






class 				UpperCAmelCase_			(		snake_case__      ,  snake_case__   ):





 def __init__(      self	,    lowercase_):
     super().__init__(lowercase_)

     if not is_vision_available():
         raise ImportError("PIL must be installed in order to handle images.")

     snake_case_	:      Optional[Any]            =  None
     snake_case_	:      List[Any]            =  None
     snake_case_	:      Union[str, Any]            =  None

     if isinstance(lowercase_	,    lowercase_):
         snake_case_	:      Union[str, Any]            =  value
     elif isinstance(lowercase_	,    (str, pathlib.Path)):
         snake_case_	:      int            =  value
     elif isinstance(lowercase_	,    torch.Tensor):
         snake_case_	:      Any            =  value
     else:
         raise ValueError(F'Unsupported type for {self.__class__.__name__}: {type(lowercase_)}')





 def     snake_case__						(      self	,    lowercase_=None	,    lowercase_=None):
     from IPython.display import Image, display

     display(Image(self.to_string()))





 def     snake_case__						(      self):
     if self._raw is not None:
         return self._raw

     if self._path is not None:
         snake_case_	:      Optional[Any]            =  Image.open(self._path)
         return self._raw





 def     snake_case__						(      self):
     if self._path is not None:
         return self._path

     if self._raw is not None:
         snake_case_	:      Union[str, Any]            =  tempfile.mkdtemp()
         snake_case_	:      List[str]            =  os.path.join(lowercase_	,    str(uuid.uuida()) + ".png")
         self._raw.save(self._path)

         return self._path

     if self._tensor is not None:
         snake_case_	:      List[str]            =  self._tensor.cpu().detach().numpy()

         # There is likely simpler than load into image into save
         snake_case_	:      Union[str, Any]            =  Image.fromarray((array * 2_55).astype(np.uinta))

         snake_case_	:      List[str]            =  tempfile.mkdtemp()
         snake_case_	:      List[Any]            =  os.path.join(lowercase_	,    str(uuid.uuida()) + ".png")

         img.save(self._path)

         return self._path






class 				UpperCAmelCase_			(		snake_case__   ):





 def __init__(      self	,    lowercase_	,    lowercase_=1_60_00):
     super().__init__(lowercase_)

     if not is_soundfile_availble():
         raise ImportError("soundfile must be installed in order to handle audio.")

     snake_case_	:      Any            =  None
     snake_case_	:      Optional[Any]            =  None

     snake_case_	:      Any            =  samplerate

     if isinstance(lowercase_	,    (str, pathlib.Path)):
         snake_case_	:      Optional[int]            =  value
     elif isinstance(lowercase_	,    torch.Tensor):
         snake_case_	:      Dict            =  value
     else:
         raise ValueError(F'Unsupported audio type: {type(lowercase_)}')





 def     snake_case__						(      self	,    lowercase_=None	,    lowercase_=None):
     from IPython.display import Audio, display

     display(Audio(self.to_string()	,    rate=self.samplerate))





 def     snake_case__						(      self):
     if self._tensor is not None:
         return self._tensor

     if self._path is not None:
         snake_case_     ,	snake_case_	:      Optional[int]            =  sf.read(self._path)
         snake_case_	:      List[Any]            =  torch.tensor(lowercase_)
         return self._tensor





 def     snake_case__						(      self):
     if self._path is not None:
         return self._path

     if self._tensor is not None:
         snake_case_	:      Tuple            =  tempfile.mkdtemp()
         snake_case_	:      Union[str, Any]            =  os.path.join(lowercase_	,    str(uuid.uuida()) + ".wav")
         sf.write(self._path	,    self._tensor	,    samplerate=self.samplerate)
         return self._path


a_     =  {"text": AgentText, "image": AgentImage, "audio": AgentAudio}
a_     =  {str: AgentText}

if is_vision_available():
  a_     =  AgentImage

def   UpperCamelCase_       (		*__SCREAMING_SNAKE_CASE,						**__SCREAMING_SNAKE_CASE    ):
    """simple docstring"""






    snake_case_	:      List[Any]            =  [(arg.to_raw() if isinstance(__SCREAMING_SNAKE_CASE,						__SCREAMING_SNAKE_CASE    ) else arg) for arg in args]
    snake_case_	:      str            =  {k: (v.to_raw() if isinstance(__SCREAMING_SNAKE_CASE,						__SCREAMING_SNAKE_CASE    ) else v) for k, v in kwargs.items()}
    return args, kwargs


def   UpperCamelCase_       (		__SCREAMING_SNAKE_CASE,						__SCREAMING_SNAKE_CASE=None    ):
    """simple docstring"""






    if isinstance(__SCREAMING_SNAKE_CASE,						__SCREAMING_SNAKE_CASE    ):
        snake_case_	:      List[Any]            =  {}
        for i, (k, v) in enumerate(outputs.items()    ):
            if output_types is not None:
                # If the class has defined outputs, we can map directly according to the class definition
                if output_types[i] in AGENT_TYPE_MAPPING:
                    snake_case_	:      List[str]            =  AGENT_TYPE_MAPPING[output_types[i]](__SCREAMING_SNAKE_CASE    )
                else:
                    snake_case_	:      List[Any]            =  AgentType(__SCREAMING_SNAKE_CASE    )

            else:
                # If the class does not have defined output, then we map according to the type
                for _k, _v in INSTANCE_TYPE_MAPPING.items():
                    if isinstance(__SCREAMING_SNAKE_CASE,						_k    ):
                        snake_case_	:      List[Any]            =  _v(__SCREAMING_SNAKE_CASE    )
                if k not in decoded_outputs:
                    snake_case_	:      List[Any]            =  AgentType[v]

    elif isinstance(__SCREAMING_SNAKE_CASE,						(list, tuple)    ):
        snake_case_	:      Dict            =  type(__SCREAMING_SNAKE_CASE    )()
        for i, v in enumerate(__SCREAMING_SNAKE_CASE    ):
            if output_types is not None:
                # If the class has defined outputs, we can map directly according to the class definition
                if output_types[i] in AGENT_TYPE_MAPPING:
                    decoded_outputs.append(AGENT_TYPE_MAPPING[output_types[i]](__SCREAMING_SNAKE_CASE    )    )
                else:
                    decoded_outputs.append(AgentType(__SCREAMING_SNAKE_CASE    )    )
            else:
                # If the class does not have defined output, then we map according to the type
                snake_case_	:      Any            =  False
                for _k, _v in INSTANCE_TYPE_MAPPING.items():
                    if isinstance(__SCREAMING_SNAKE_CASE,						_k    ):
                        decoded_outputs.append(_v(__SCREAMING_SNAKE_CASE    )    )
                        snake_case_	:      Tuple            =  True

                if not found:
                    decoded_outputs.append(AgentType(__SCREAMING_SNAKE_CASE    )    )

    else:
        if output_types[0] in AGENT_TYPE_MAPPING:
            # If the class has defined outputs, we can map directly according to the class definition
            snake_case_	:      str            =  AGENT_TYPE_MAPPING[output_types[0]](__SCREAMING_SNAKE_CASE    )

        else:
            # If the class does not have defined output, then we map according to the type
            for _k, _v in INSTANCE_TYPE_MAPPING.items():
                if isinstance(__SCREAMING_SNAKE_CASE,						_k    ):
                    return _v(__SCREAMING_SNAKE_CASE    )
            return AgentType(__SCREAMING_SNAKE_CASE    )

    return decoded_outputs






'''simple docstring'''
from typing import Dict, List, Optional, Tuple

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


a_     =  logging.get_logger(__name__)






class 				UpperCAmelCase_			(		snake_case__   ):
 UpperCAmelCase_						      =  ["""input_ids""", """attention_mask"""]





 def __init__(      self	,    lowercase_="[PAD]"	,    lowercase_="[BOS]"	,    lowercase_="[EOS]"	,    lowercase_="[MASK]"	,    lowercase_="[CLS]"	,    lowercase_="[SEP]"	,    lowercase_=20_48	,    **lowercase_	,    ):
     snake_case_	:      int            =  AddedToken(lowercase_	,    lstrip=lowercase_	,    rstrip=lowercase_) if isinstance(lowercase_	,    lowercase_) else pad_token
     snake_case_	:      List[str]            =  AddedToken(lowercase_	,    lstrip=lowercase_	,    rstrip=lowercase_) if isinstance(lowercase_	,    lowercase_) else bos_token
     snake_case_	:      Tuple            =  AddedToken(lowercase_	,    lstrip=lowercase_	,    rstrip=lowercase_) if isinstance(lowercase_	,    lowercase_) else eos_token
     snake_case_	:      Optional[Any]            =  AddedToken(lowercase_	,    lstrip=lowercase_	,    rstrip=lowercase_) if isinstance(lowercase_	,    lowercase_) else mask_token
     snake_case_	:      List[str]            =  AddedToken(lowercase_	,    lstrip=lowercase_	,    rstrip=lowercase_) if isinstance(lowercase_	,    lowercase_) else cls_token
     snake_case_	:      int            =  AddedToken(lowercase_	,    lstrip=lowercase_	,    rstrip=lowercase_) if isinstance(lowercase_	,    lowercase_) else sep_token

     super().__init__(
         pad_token=lowercase_	,    bos_token=lowercase_	,    eos_token=lowercase_	,    mask_token=lowercase_	,    cls_token=lowercase_	,    sep_token=lowercase_	,    model_max_length=lowercase_	,    **lowercase_	,    )

     snake_case_	:      Dict            =  2**8  # utf is 8 bits

     # define special tokens dict
     snake_case_	:      Dict[str, int]            =  {
         self.pad_token: 0,
         self.bos_token: 1,
         self.eos_token: 2,
         self.mask_token: 3,
         self.cls_token: 4,
         self.sep_token: 5,
     }
     snake_case_	:      Dict            =  len(self.special_tokens_encoder)
     snake_case_	:      Dict[int, str]            =  {v: k for k, v in self.special_tokens_encoder.items()}





 def     snake_case__						(      self):
     snake_case_	:      str            =  self.special_tokens_encoder.copy()
     vocab.update(self.added_tokens_encoder)
     for i in range(self._utf_vocab_size):
         snake_case_	:      Tuple            =  chr(lowercase_)
         snake_case_	:      Optional[Any]            =  i + len(self.special_tokens_encoder)
     return vocab





 @property
 def     snake_case__						(      self):
     return self._utf_vocab_size + self._num_special_tokens





 def     snake_case__						(      self	,    lowercase_	,    lowercase_ = None	,    lowercase_ = False):
     if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=lowercase_	,    token_ids_a=lowercase_	,    already_has_special_tokens=lowercase_)

     # normal case: some special tokens
     if token_ids_a is None:
         return [1] + [0] * len(lowercase_) + [1]
     return [1] + ([0] * len(lowercase_)) + [1] + ([0] * len(lowercase_)) + [1]





 def     snake_case__						(      self	,    lowercase_	,    lowercase_ = None):
     if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     else:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]





 def     snake_case__						(      self	,    lowercase_):
     snake_case_	:      Tuple            =  [chr(lowercase_) for i in text.encode("utf-8")]
     return tokens





 def     snake_case__						(      self	,    lowercase_):
     if token in self.special_tokens_encoder:
         snake_case_	:      Optional[int]            =  self.special_tokens_encoder[token]
     elif token in self.added_tokens_encoder:
         snake_case_	:      str            =  self.added_tokens_encoder[token]
     elif len(lowercase_) != 1:
         snake_case_	:      Union[str, Any]            =  self.unk_token_id
     else:
         snake_case_	:      Optional[Any]            =  ord(lowercase_) + self._num_special_tokens
     return token_id





 def     snake_case__						(      self	,    lowercase_):
     if index in self.special_tokens_decoder:
         snake_case_	:      Optional[Any]            =  self.special_tokens_decoder[index]
     elif index in self.added_tokens_decoder:
         snake_case_	:      List[str]            =  self.added_tokens_decoder[index]
     else:
         snake_case_	:      Union[str, Any]            =  chr(index - self._num_special_tokens)
     return token





 def     snake_case__						(      self	,    lowercase_):
     snake_case_	:      str            =  b""
     for token in tokens:
         if token in self.special_tokens_decoder:
             snake_case_	:      List[Any]            =  self.special_tokens_decoder[token].encode("utf-8")
         elif token in self.added_tokens_decoder:
             snake_case_	:      Any            =  self.special_tokens_decoder[token].encode("utf-8")
         elif token in self.special_tokens_encoder:
             snake_case_	:      Union[str, Any]            =  token.encode("utf-8")
         elif token in self.added_tokens_encoder:
             snake_case_	:      Any            =  token.encode("utf-8")
         else:
             snake_case_	:      Union[str, Any]            =  bytes([ord(lowercase_)])
         bstring += tok_string
     snake_case_	:      Union[str, Any]            =  bstring.decode("utf-8"	,    errors="replace")
     return string





 def     snake_case__						(      self	,    lowercase_	,    lowercase_ = None):
     return ()




