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 _a       :

	'''simple docstring'''



	def __init__(       self							,			__UpperCAmelCase   ):
			__A							:   List[Any]	  =				value

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

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


class _a       (	lowerCAmelCase__   ,							lowerCAmelCase__ ):

	'''simple docstring'''



	def 					__UpperCAmelCase(       self   ):
			return self._value







	def 					__UpperCAmelCase(       self   ):
			return self._value


class _a       (	lowerCAmelCase__   ,							lowerCAmelCase__ ):

	'''simple docstring'''



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

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

			__A							:   Tuple	  =				None
			__A							:   Union[str, Any]	  =				None
			__A							:   Optional[int]	  =				None

			if isinstance(__UpperCAmelCase							,			__UpperCAmelCase   ):
					__A							:   List[str]	  =				value
			elif isinstance(__UpperCAmelCase							,			(str, pathlib.Path)   ):
					__A							:   List[str]	  =				value
			elif isinstance(__UpperCAmelCase							,			torch.Tensor   ):
					__A							:   int	  =				value
			else:
					raise ValueError(F"Unsupported type for {self.__class__.__name__}: {type(__UpperCAmelCase   )}"   )

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

			display(Image(self.to_string()   )   )

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

			if self._path is not None:
					__A							:   List[str]	  =				Image.open(self._path   )
					return self._raw







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

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

					return self._path

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

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

					__A							:   Tuple	  =				tempfile.mkdtemp()
					__A							:   Union[str, Any]	  =				os.path.join(__UpperCAmelCase							,			str(uuid.uuida()   ) + ".png"   )

					img.save(self._path   )

					return self._path


class _a       (	lowerCAmelCase__ ):

	'''simple docstring'''



	def __init__(       self							,			__UpperCAmelCase							,			__UpperCAmelCase=16_000   ):
			super().__init__(__UpperCAmelCase   )

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

			__A							:   Optional[int]	  =				None
			__A							:   str	  =				None

			__A							:   Any	  =				samplerate

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

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

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

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

			if self._path is not None:
					__A  ,       __A							:   Tuple	  =				sf.read(self._path   )
					__A							:   Union[str, Any]	  =				torch.tensor(__UpperCAmelCase   )
					return self._tensor







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

			if self._tensor is not None:
					__A							:   int	  =				tempfile.mkdtemp()
					__A							:   List[str]	  =				os.path.join(__UpperCAmelCase							,			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_   (  *_lowercase ,     **_lowercase    )							->	Union[str, Any]:
		__A							:   Union[str, Any]	  =				[(arg.to_raw() if isinstance(_lowercase ,     _lowercase    ) else arg) for arg in args]
		__A							:   Union[str, Any]	  =				{k: (v.to_raw() if isinstance(_lowercase ,     _lowercase    ) else v) for k, v in kwargs.items()}
		return args, kwargs





def    lowerCamelCase_   (  _lowercase ,     _lowercase=None    )							->	Optional[Any]:
		if isinstance(_lowercase ,     _lowercase    ):
				__A							:   Dict	  =				{}
				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							:   Union[str, Any]	  =				AGENT_TYPE_MAPPING[output_types[i]](_lowercase    )
								else:
										__A							:   Union[str, Any]	  =				AgentType(_lowercase    )

						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(_lowercase ,     _k    ):
												__A							:   List[str]	  =				_v(_lowercase    )
								if k not in decoded_outputs:
										__A							:   str	  =				AgentType[v]

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

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

		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							:   Tuple	  =				AGENT_TYPE_MAPPING[output_types[0]](_lowercase    )

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

		return decoded_outputs






import os
import sys

from . import rsa_key_generator as rkg

UpperCamelCase      			=     128
UpperCamelCase      			=     256



def    lowerCamelCase_   (  _lowercase ,     _lowercase = DEFAULT_BLOCK_SIZE    )							->	list[int]:
		__A							:   List[str]	  =				message.encode("ascii"    )

		__A							:   str	  =				[]
		for block_start in range(0 ,     len(_lowercase    ) ,     _lowercase    ):
				__A							:   str	  =				0
				for i in range(_lowercase ,     min(block_start + block_size ,     len(_lowercase    )    )    ):
						block_int += message_bytes[i] * (BYTE_SIZE ** (i % block_size))
				block_ints.append(_lowercase    )
		return block_ints



def    lowerCamelCase_   (  _lowercase ,     _lowercase ,     _lowercase = DEFAULT_BLOCK_SIZE    )							->	str:
		__A							:   list[str]	  =				[]
		for block_int in block_ints:
				__A							:   list[str]	  =				[]
				for i in range(block_size - 1 ,     -1 ,     -1    ):
						if len(_lowercase    ) + i < message_length:
								__A							:   Optional[Any]	  =				block_int // (BYTE_SIZE**i)
								__A							:   Union[str, Any]	  =				block_int % (BYTE_SIZE**i)
								block_message.insert(0 ,     chr(_lowercase    )    )
				message.extend(_lowercase    )
		return "".join(_lowercase    )



def    lowerCamelCase_   (  _lowercase ,     _lowercase ,     _lowercase = DEFAULT_BLOCK_SIZE    )							->	list[int]:
		__A							:   List[str]	  =				[]
		__A  ,       __A							:   List[Any]	  =				key

		for block in get_blocks_from_text(_lowercase ,     _lowercase    ):
				encrypted_blocks.append(pow(_lowercase ,     _lowercase ,     _lowercase    )    )
		return encrypted_blocks



def    lowerCamelCase_   (  _lowercase ,     _lowercase ,     _lowercase ,     _lowercase = DEFAULT_BLOCK_SIZE ,     )							->	str:
		__A							:   Optional[Any]	  =				[]
		__A  ,       __A							:   Dict	  =				key
		for block in encrypted_blocks:
				decrypted_blocks.append(pow(_lowercase ,     _lowercase ,     _lowercase    )    )
		return get_text_from_blocks(_lowercase ,     _lowercase ,     _lowercase    )



def    lowerCamelCase_   (  _lowercase    )							->	tuple[int, int, int]:
		with open(_lowercase    ) as fo:
				__A							:   Optional[int]	  =				fo.read()
		__A  ,       __A  ,       __A							:   Optional[int]	  =				content.split(","    )
		return (int(_lowercase    ), int(_lowercase    ), int(_lowercase    ))



def    lowerCamelCase_   (  _lowercase ,     _lowercase ,     _lowercase ,     _lowercase = DEFAULT_BLOCK_SIZE ,     )							->	str:
		__A  ,       __A  ,       __A							:   Optional[int]	  =				read_key_file(_lowercase    )
		if key_size < block_size * 8:
				sys.exit(
				    "ERROR: Block size is {} bits and key size is {} bits. The RSA cipher "
				    "requires the block size to be equal to or greater than the key size. "
				    "Either decrease the block size or use different keys.".format(
				        block_size * 8 ,     _lowercase    )    )

		__A							:   Optional[int]	  =				[str(_lowercase    ) for i in encrypt_message(_lowercase ,     (n, e) ,     _lowercase    )]

		__A							:   int	  =				",".join(_lowercase    )
		__A							:   List[Any]	  =				F"{len(_lowercase    )}_{block_size}_{encrypted_content}"
		with open(_lowercase ,     "w"    ) as fo:
				fo.write(_lowercase    )
		return encrypted_content



def    lowerCamelCase_   (  _lowercase ,     _lowercase    )							->	str:
		__A  ,       __A  ,       __A							:   List[str]	  =				read_key_file(_lowercase    )
		with open(_lowercase    ) as fo:
				__A							:   Optional[Any]	  =				fo.read()
		__A  ,       __A  ,       __A							:   int	  =				content.split("_"    )
		__A							:   Tuple	  =				int(_lowercase    )
		__A							:   Any	  =				int(_lowercase    )

		if key_size < block_size * 8:
				sys.exit(
				    "ERROR: Block size is {} bits and key size is {} bits. The RSA cipher "
				    "requires the block size to be equal to or greater than the key size. "
				    "Did you specify the correct key file and encrypted file?".format(
				        block_size * 8 ,     _lowercase    )    )

		__A							:   Dict	  =				[]
		for block in encrypted_message.split(","    ):
				encrypted_blocks.append(int(_lowercase    )    )

		return decrypt_message(_lowercase ,     _lowercase ,     (n, d) ,     _lowercase    )



def    lowerCamelCase_   (  )							->	None:
		__A							:   int	  =				"encrypted_file.txt"
		__A							:   int	  =				input(r"Encrypt\Decrypt [e\d]: "    )

		if response.lower().startswith("e"    ):
				__A							:   str	  =				"encrypt"
		elif response.lower().startswith("d"    ):
				__A							:   str	  =				"decrypt"

		if mode == "encrypt":
				if not os.path.exists("rsa_pubkey.txt"    ):
						rkg.make_key_files("rsa" ,     1_024    )

				__A							:   Any	  =				input("\nEnter message: "    )
				__A							:   Any	  =				"rsa_pubkey.txt"
				print(F"Encrypting and writing to {filename}..."    )
				__A							:   List[str]	  =				encrypt_and_write_to_file(_lowercase ,     _lowercase ,     _lowercase    )

				print("\nEncrypted text:"    )
				print(_lowercase    )

		elif mode == "decrypt":
				__A							:   Dict	  =				"rsa_privkey.txt"
				print(F"Reading from {filename} and decrypting..."    )
				__A							:   Dict	  =				read_from_file_and_decrypt(_lowercase ,     _lowercase    )
				print("writing decryption to rsa_decryption.txt..."    )
				with open("rsa_decryption.txt" ,     "w"    ) as dec:
						dec.write(_lowercase    )

				print("\nDecryption:"    )
				print(_lowercase    )


if __name__ == "__main__":
					main()





