



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


UpperCAmelCase				:							List[str]								=logging.get_logger(__name__)

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

if is_torch_available():
	import torch

if is_soundfile_availble():
	import soundfile as sf


class  _lowercase				:
				'''simple docstring'''







				def __init__(	self       ,	snake_case__      ):

									'''simple docstring'''


									UpperCamelCase_											=				value

				def __str__(	self      ):

									'''simple docstring'''


									return self.to_string()

				def  _lowerCamelCase   (	self      ):

									'''simple docstring'''


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

				def  _lowerCamelCase   (	self      ):

									'''simple docstring'''


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




class  _lowercase				(a_ ,				a_ ):
				'''simple docstring'''







				def  _lowerCamelCase   (	self      ):

									'''simple docstring'''


									return self._value

				def  _lowerCamelCase   (	self      ):

									'''simple docstring'''


									return self._value




class  _lowercase				(a_ ,				a_ ):
				'''simple docstring'''







				def __init__(	self       ,	snake_case__      ):

									'''simple docstring'''


									super().__init__(snake_case__      )

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

									UpperCamelCase_											=				None
									UpperCamelCase_											=				None
									UpperCamelCase_											=				None

									if isinstance(snake_case__       ,	snake_case__      ):
														UpperCamelCase_											=				value
									elif isinstance(snake_case__       ,	(str, pathlib.Path)      ):
														UpperCamelCase_											=				value
									elif isinstance(snake_case__       ,	torch.Tensor      ):
														UpperCamelCase_											=				value
									else:
														raise ValueError(F"""Unsupported type for {self.__class__.__name__}: {type(snake_case__      )}"""      )

				def  _lowerCamelCase   (	self       ,	snake_case__=None       ,	snake_case__=None      ):

									'''simple docstring'''


									from IPython.display import Image, display

									display(Image(self.to_string()      )      )

				def  _lowerCamelCase   (	self      ):

									'''simple docstring'''


									if self._raw is not None:
														return self._raw

									if self._path is not None:
														UpperCamelCase_											=				Image.open(self._path      )
														return self._raw

				def  _lowerCamelCase   (	self      ):

									'''simple docstring'''


									if self._path is not None:
														return self._path

									if self._raw is not None:
														UpperCamelCase_											=				tempfile.mkdtemp()
														UpperCamelCase_											=				os.path.join(snake_case__       ,	str(uuid.uuida()      ) + ".png"      )
														self._raw.save(self._path      )

														return self._path

									if self._tensor is not None:
														UpperCamelCase_											=				self._tensor.cpu().detach().numpy()

														# There is likely simpler than load into image into save
														UpperCamelCase_											=				Image.fromarray((array * 255).astype(np.uinta      )      )

														UpperCamelCase_											=				tempfile.mkdtemp()
														UpperCamelCase_											=				os.path.join(snake_case__       ,	str(uuid.uuida()      ) + ".png"      )

														img.save(self._path      )

														return self._path




class  _lowercase				(a_ ):
				'''simple docstring'''







				def __init__(	self       ,	snake_case__       ,	snake_case__=1_6000      ):

									'''simple docstring'''


									super().__init__(snake_case__      )

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

									UpperCamelCase_											=				None
									UpperCamelCase_											=				None

									UpperCamelCase_											=				samplerate

									if isinstance(snake_case__       ,	(str, pathlib.Path)      ):
														UpperCamelCase_											=				value
									elif isinstance(snake_case__       ,	torch.Tensor      ):
														UpperCamelCase_											=				value
									else:
														raise ValueError(F"""Unsupported audio type: {type(snake_case__      )}"""      )

				def  _lowerCamelCase   (	self       ,	snake_case__=None       ,	snake_case__=None      ):

									'''simple docstring'''


									from IPython.display import Audio, display

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

				def  _lowerCamelCase   (	self      ):

									'''simple docstring'''


									if self._tensor is not None:
														return self._tensor

									if self._path is not None:
														UpperCamelCase_					,      UpperCamelCase_											=				sf.read(self._path      )
														UpperCamelCase_											=				torch.tensor(snake_case__      )
														return self._tensor

				def  _lowerCamelCase   (	self      ):

									'''simple docstring'''


									if self._path is not None:
														return self._path

									if self._tensor is not None:
														UpperCamelCase_											=				tempfile.mkdtemp()
														UpperCamelCase_											=				os.path.join(snake_case__       ,	str(uuid.uuida()      ) + ".wav"      )
														sf.write(self._path       ,	self._tensor       ,	samplerate=self.samplerate      )
														return self._path




UpperCAmelCase				:							str								={"""text""": AgentText, """image""": AgentImage, """audio""": AgentAudio}
UpperCAmelCase				:							List[Any]								={str: AgentText}

if is_vision_available():
	UpperCAmelCase				:							Optional[int]								=AgentImage



def 				_lowerCAmelCase      (*_lowerCAmelCase				,		**_lowerCAmelCase):
					UpperCamelCase_											=				[(arg.to_raw() if isinstance(_lowerCAmelCase				,		_lowerCAmelCase) else arg) for arg in args]
					UpperCamelCase_											=				{k: (v.to_raw() if isinstance(_lowerCAmelCase				,		_lowerCAmelCase) else v) for k, v in kwargs.items()}
					return args, kwargs






def 				_lowerCAmelCase      (_lowerCAmelCase				,		_lowerCAmelCase=None):
					if isinstance(_lowerCAmelCase				,		_lowerCAmelCase):
										UpperCamelCase_											=				{}
										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:
																									UpperCamelCase_											=				AGENT_TYPE_MAPPING[output_types[i]](_lowerCAmelCase)
																				else:
																									UpperCamelCase_											=				AgentType(_lowerCAmelCase)

															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(_lowerCAmelCase				,		_k):
																														UpperCamelCase_											=				_v(_lowerCAmelCase)
																				if k not in decoded_outputs:
																									UpperCamelCase_											=				AgentType[v]

					elif isinstance(_lowerCAmelCase				,		(list, tuple)):
										UpperCamelCase_											=				type(_lowerCAmelCase)()
										for i, v in enumerate(_lowerCAmelCase):
															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]](_lowerCAmelCase))
																				else:
																									decoded_outputs.append(AgentType(_lowerCAmelCase))
															else:
																				# If the class does not have defined output, then we map according to the type
																				UpperCamelCase_											=				False
																				for _k, _v in INSTANCE_TYPE_MAPPING.items():
																									if isinstance(_lowerCAmelCase				,		_k):
																														decoded_outputs.append(_v(_lowerCAmelCase))
																														UpperCamelCase_											=				True

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

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

										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(_lowerCAmelCase				,		_k):
																									return _v(_lowerCAmelCase)
															return AgentType(_lowerCAmelCase)

					return decoded_outputs





from typing import Literal

UpperCAmelCase				:							Tuple								="""ABCDEFGHIJKLMNOPQRSTUVWXYZ"""



def 				_lowerCAmelCase      (_lowerCAmelCase				,		_lowerCAmelCase				,		_lowerCAmelCase):
					UpperCamelCase_											=				LETTERS if mode == "decrypt" else key
					UpperCamelCase_											=				key if mode == "decrypt" else LETTERS
					UpperCamelCase_											=				""
					# loop through each symbol in the message
					for symbol in message:
										if symbol.upper() in chars_a:
															# encrypt/decrypt the symbol
															UpperCamelCase_											=				chars_a.find(symbol.upper())
															if symbol.isupper():
																				translated += chars_b[sym_index].upper()
															else:
																				translated += chars_b[sym_index].lower()
										else:
															# symbol is not in LETTERS, just add it
															translated += symbol
					return translated



def 				_lowerCAmelCase      (_lowerCAmelCase				,		_lowerCAmelCase):
					return translate_message(_lowerCAmelCase				,		_lowerCAmelCase				,		"encrypt")



def 				_lowerCAmelCase      (_lowerCAmelCase				,		_lowerCAmelCase):
					return translate_message(_lowerCAmelCase				,		_lowerCAmelCase				,		"decrypt")



def 				_lowerCAmelCase      ():
					UpperCamelCase_											=				"Hello World"
					UpperCamelCase_											=				"QWERTYUIOPASDFGHJKLZXCVBNM"
					UpperCamelCase_											=				"decrypt"  # set to 'encrypt' or 'decrypt'

					if mode == "encrypt":
										UpperCamelCase_											=				encrypt_message(_lowerCAmelCase				,		_lowerCAmelCase)
					elif mode == "decrypt":
										UpperCamelCase_											=				decrypt_message(_lowerCAmelCase				,		_lowerCAmelCase)
					print(f"""Using the key {key}, the {mode}ed message is: {translated}""")


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()
