
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_  =	logging.get_logger(__name__)

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

if is_torch_available():
					import torch

if is_soundfile_availble():
					import soundfile as sf

class     _SCREAMING_SNAKE_CASE							:





				def __init__(		self :		List[str]					,      snake_case_ :		List[Any]							):


								"""simple docstring"""

								A     :  str   =				value





				def __str__(		self :		List[str]							):


								"""simple docstring"""

								return self.to_string()





				def        _UpperCAmelCase						(		self :		Union[str, Any]							):


								"""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        _UpperCAmelCase						(		self :		int							):


								"""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     _SCREAMING_SNAKE_CASE							(		snake_case,    snake_case							):





				def        _UpperCAmelCase						(		self :		List[Any]							):


								"""simple docstring"""

								return self._value






				def        _UpperCAmelCase						(		self :		List[str]							):


								"""simple docstring"""

								return self._value



class     _SCREAMING_SNAKE_CASE							(		snake_case,    snake_case							):





				def __init__(		self :		List[str]					,      snake_case_ :		Tuple							):


								"""simple docstring"""

								super().__init__(snake_case_							)

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

								A     :  Any   =				None
								A     :  str   =				None
								A     :  Tuple   =				None

								if isinstance(snake_case_					,      snake_case_							):
												A     :  str   =				value
								elif isinstance(snake_case_					,      (str, pathlib.Path)							):
												A     :  Optional[int]   =				value
								elif isinstance(snake_case_					,      torch.Tensor							):
												A     :  int   =				value
								else:
												raise ValueError(f"""Unsupported type for {self.__class__.__name__}: {type(snake_case_							)}"""							)





				def        _UpperCAmelCase						(		self :		str					,      snake_case_ :		Union[str, Any]=None					,      snake_case_ :		int=None							):


								"""simple docstring"""

								from IPython.display import Image, display

								display(Image(self.to_string()							)							)





				def        _UpperCAmelCase						(		self :		Optional[Any]							):


								"""simple docstring"""

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

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






				def        _UpperCAmelCase						(		self :		Tuple							):


								"""simple docstring"""

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

								if self._raw is not None:
												A     :  int   =				tempfile.mkdtemp()
												A     :  int   =				os.path.join(snake_case_					,      str(uuid.uuida()							) + '''.png'''							)
												self._raw.save(self._path							)

												return self._path

								if self._tensor is not None:
												A     :  Optional[Any]   =				self._tensor.cpu().detach().numpy()

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

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

												img.save(self._path							)

												return self._path



class     _SCREAMING_SNAKE_CASE							(		snake_case							):





				def __init__(		self :		Optional[int]					,      snake_case_ :		List[Any]					,      snake_case_ :		int=1_6000							):


								"""simple docstring"""

								super().__init__(snake_case_							)

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

								A     :  int   =				None
								A     :  Union[str, Any]   =				None

								A     :  List[Any]   =				samplerate

								if isinstance(snake_case_					,      (str, pathlib.Path)							):
												A     :  List[Any]   =				value
								elif isinstance(snake_case_					,      torch.Tensor							):
												A     :  List[str]   =				value
								else:
												raise ValueError(f"""Unsupported audio type: {type(snake_case_							)}"""							)





				def        _UpperCAmelCase						(		self :		List[str]					,      snake_case_ :		List[Any]=None					,      snake_case_ :		int=None							):


								"""simple docstring"""

								from IPython.display import Audio, display

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





				def        _UpperCAmelCase						(		self :		Tuple							):


								"""simple docstring"""

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

								if self._path is not None:
												A ,       A     :  str   =				sf.read(self._path							)
												A     :  List[str]   =				torch.tensor(snake_case_							)
												return self._tensor






				def        _UpperCAmelCase						(		self :		Union[str, Any]							):


								"""simple docstring"""

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

								if self._tensor is not None:
												A     :  List[str]   =				tempfile.mkdtemp()
												A     :  Optional[Any]   =				os.path.join(snake_case_					,      str(uuid.uuida()							) + '''.wav'''							)
												sf.write(self._path					,      self._tensor					,      samplerate=self.samplerate							)
												return self._path



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

if is_vision_available():
					UpperCamelCase_  =	AgentImage





def 							_lowerCamelCase			(					*lowerCamelCase_:  str				,	**lowerCamelCase_:  str		):



				'''simple docstring'''







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






def 							_lowerCamelCase			(					lowerCamelCase_:  List[str]				,	lowerCamelCase_:  str=None		):



				'''simple docstring'''







				if isinstance(lowerCamelCase_				,	lowerCamelCase_		):
								A     :  Optional[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:
																				A     :  Optional[Any]   =				AGENT_TYPE_MAPPING[output_types[i]](lowerCamelCase_		)
																else:
																				A     :  Tuple   =				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		):
																								A     :  List[Any]   =				_v(lowerCamelCase_		)
																if k not in decoded_outputs:
																				A     :  str   =				AgentType[v]

				elif isinstance(lowerCamelCase_				,	(list, tuple)		):
								A     :  int   =				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
																A     :  Union[str, Any]   =				False
																for _k, _v in INSTANCE_TYPE_MAPPING.items():
																				if isinstance(lowerCamelCase_				,	_k		):
																								decoded_outputs.append(_v(lowerCamelCase_		)		)
																								A     :  Optional[int]   =				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
												A     :  str   =				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 __future__ import annotations





def 							_lowerCamelCase			(					lowerCamelCase_:  str				,	lowerCamelCase_:  dict[str, str]		):



				'''simple docstring'''







				A ,       A ,       A     :  str   =				'''''', '''''', ''''''
				A     :  Union[str, Any]   =				[]

				for character in message_part:
								tmp.append(character_to_number[character]		)

				for each in tmp:
								one += each[0]
								two += each[1]
								three += each[2]

				return one + two + three





def 							_lowerCamelCase			(					lowerCamelCase_:  str				,	lowerCamelCase_:  dict[str, str]		):



				'''simple docstring'''







				A ,       A     :  Tuple   =				'''''', ''''''
				A     :  str   =				[]

				for character in message_part:
								this_part += character_to_number[character]

				for digit in this_part:
								tmp += digit
								if len(lowerCamelCase_		) == len(lowerCamelCase_		):
												result.append(lowerCamelCase_		)
												A     :  Dict   =				''''''

				return result[0], result[1], result[2]





def 							_lowerCamelCase			(					lowerCamelCase_:  str				,	lowerCamelCase_:  str		):



				'''simple docstring'''







				A     :  Dict   =				alphabet.replace(''' '''				,	''''''		).upper()
				A     :  List[str]   =				message.replace(''' '''				,	''''''		).upper()

				# Check length and characters
				if len(lowerCamelCase_		) != 27:
								raise KeyError('''Length of alphabet has to be 27.'''		)
				for each in message:
								if each not in alphabet:
												raise ValueError('''Each message character has to be included in alphabet!'''		)

    # Generate dictionares
				A     :  str   =				(
				    '''111''',
				    '''112''',
				    '''113''',
				    '''121''',
				    '''122''',
				    '''123''',
				    '''131''',
				    '''132''',
				    '''133''',
				    '''211''',
				    '''212''',
				    '''213''',
				    '''221''',
				    '''222''',
				    '''223''',
				    '''231''',
				    '''232''',
				    '''233''',
				    '''311''',
				    '''312''',
				    '''313''',
				    '''321''',
				    '''322''',
				    '''323''',
				    '''331''',
				    '''332''',
				    '''333''',
				)
				A     :  Union[str, Any]   =				{}
				A     :  int   =				{}
				for letter, number in zip(lowerCamelCase_				,	lowerCamelCase_		):
								A     :  Optional[Any]   =				number
								A     :  Union[str, Any]   =				letter

				return message, alphabet, character_to_number, number_to_character





def 							_lowerCamelCase			(					lowerCamelCase_:  str				,	lowerCamelCase_:  str = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."				,	lowerCamelCase_:  int = 5		):



				'''simple docstring'''







				A ,       A ,       A ,       A     :  Optional[int]   =				__prepare(
				    lowerCamelCase_				,	lowerCamelCase_		)
				A ,       A     :  int   =				'''''', ''''''

				for i in range(0				,	len(lowerCamelCase_		) + 1				,	lowerCamelCase_		):
								encrypted_numeric += __encrypt_part(
								    message[i : i + period]				,	lowerCamelCase_		)

				for i in range(0				,	len(lowerCamelCase_		)				,	3		):
								encrypted += number_to_character[encrypted_numeric[i : i + 3]]

				return encrypted





def 							_lowerCamelCase			(					lowerCamelCase_:  str				,	lowerCamelCase_:  str = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."				,	lowerCamelCase_:  int = 5		):



				'''simple docstring'''







				A ,       A ,       A ,       A     :  Optional[int]   =				__prepare(
				    lowerCamelCase_				,	lowerCamelCase_		)
				A     :  Tuple   =				[]
				A     :  Optional[Any]   =				''''''

				for i in range(0				,	len(lowerCamelCase_		) + 1				,	lowerCamelCase_		):
								A ,       A ,       A     :  List[Any]   =				__decrypt_part(message[i : i + period]				,	lowerCamelCase_		)

								for j in range(0				,	len(lowerCamelCase_		)		):
												decrypted_numeric.append(a[j] + b[j] + c[j]		)

				for each in decrypted_numeric:
								decrypted += number_to_character[each]

				return decrypted


if __name__ == "__main__":
					UpperCamelCase_  =	"DEFEND THE EAST WALL OF THE CASTLE."
					UpperCamelCase_  =	encrypt_message(msg, "EPSDUCVWYM.ZLKXNBTFGORIJHAQ")
					UpperCamelCase_  =	decrypt_message(encrypted, "EPSDUCVWYM.ZLKXNBTFGORIJHAQ")
					print(F'''Encrypted: {encrypted}\nDecrypted: {decrypted}''')