from __future__ import annotations

__UpperCamelCase	: Dict    		=  tuple[int, int, int]
__UpperCamelCase	: Optional[Any]    		=  tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
__UpperCamelCase	: List[str]    		=  'ABCDEFGHIJKLMNOPQRSTUVWXYZ'

# -------------------------- default selection --------------------------
# rotors --------------------------
__UpperCamelCase	: List[str]    		=  'EGZWVONAHDCLFQMSIPJBYUKXTR'
__UpperCamelCase	: Any    		=  'FOBHMDKEXQNRAULPGSJVTYICZW'
__UpperCamelCase	: Dict    		=  'ZJXESIUQLHAVRMDOYGTNFWPBKC'
# reflector --------------------------
__UpperCamelCase	: int    		=  {
    'A': 'N',
    'N': 'A',
    'B': 'O',
    'O': 'B',
    'C': 'P',
    'P': 'C',
    'D': 'Q',
    'Q': 'D',
    'E': 'R',
    'R': 'E',
    'F': 'S',
    'S': 'F',
    'G': 'T',
    'T': 'G',
    'H': 'U',
    'U': 'H',
    'I': 'V',
    'V': 'I',
    'J': 'W',
    'W': 'J',
    'K': 'X',
    'X': 'K',
    'L': 'Y',
    'Y': 'L',
    'M': 'Z',
    'Z': 'M',
}

# -------------------------- extra rotors --------------------------
__UpperCamelCase	: Optional[Any]    		=  'RMDJXFUWGISLHVTCQNKYPBEZOA'
__UpperCamelCase	: Any    		=  'SGLCPQWZHKXAREONTFBVIYJUDM'
__UpperCamelCase	: Dict    		=  'HVSICLTYKQUBXDWAJZOMFGPREN'
__UpperCamelCase	: Tuple    		=  'RZWQHFMVDBKICJLNTUXAGYPSOE'
__UpperCamelCase	: int    		=  'LFKIJODBEGAMQPXVUHYSTCZRWN'
__UpperCamelCase	: List[str]    		=  'KOAEGVDHXPQZMLFTYWJNBRCIUS'
def    A			(					_lowercase	,						_lowercase	,						_lowercase		):
						# Checks if there are 3 unique rotors

						if (unique_rotsel := len(set(_lowercase		)		)) < 3:
												SCREAMING_SNAKE_CASE							:					Dict           =							f"""Please use 3 unique rotors (not {unique_rotsel})"""
												raise Exception(_lowercase		)

						# Checks if rotor positions are valid
						SCREAMING_SNAKE_CASE       ,						SCREAMING_SNAKE_CASE       ,						SCREAMING_SNAKE_CASE							:					Optional[int]           =							rotpos
						if not 0 < rotorposa <= len(_lowercase		):
												SCREAMING_SNAKE_CASE							:					str           =							f"""First rotor position is not within range of 1..26 ({rotorposa}"""
												raise ValueError(_lowercase		)
						if not 0 < rotorposa <= len(_lowercase		):
												SCREAMING_SNAKE_CASE							:					List[str]           =							f"""Second rotor position is not within range of 1..26 ({rotorposa})"""
												raise ValueError(_lowercase		)
						if not 0 < rotorposa <= len(_lowercase		):
												SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							f"""Third rotor position is not within range of 1..26 ({rotorposa})"""
												raise ValueError(_lowercase		)

						# Validates string and returns dict
						SCREAMING_SNAKE_CASE							:					List[str]           =							_plugboard(_lowercase		)

						return rotpos, rotsel, pbdict
def    A			(					_lowercase		):

						# tests the input string if it
						# a) is type string
						# b) has even length (so pairs can be made)
						if not isinstance(_lowercase	,						_lowercase		):
												SCREAMING_SNAKE_CASE							:					str           =							f"""Plugboard setting isn't type string ({type(_lowercase		)})"""
												raise TypeError(_lowercase		)
						elif len(_lowercase		) % 2 != 0:
												SCREAMING_SNAKE_CASE							:					List[str]           =							f"""Odd number of symbols ({len(_lowercase		)})"""
												raise Exception(_lowercase		)
						elif pbstring == "":
												return {}

						pbstring.replace(''' '''	,						''''''		)

						# Checks if all characters are unique
						SCREAMING_SNAKE_CASE							:					Tuple           =							set()
						for i in pbstring:
												if i not in abc:
																		SCREAMING_SNAKE_CASE							:					Optional[Any]           =							f"""'{i}' not in list of symbols"""
																		raise Exception(_lowercase		)
												elif i in tmppbl:
																		SCREAMING_SNAKE_CASE							:					Dict           =							f"""Duplicate symbol ({i})"""
																		raise Exception(_lowercase		)
												else:
																		tmppbl.add(_lowercase		)
						del tmppbl

						# Created the dictionary
						SCREAMING_SNAKE_CASE							:					List[Any]           =							{}
						for j in range(0	,						len(_lowercase		) - 1	,						2		):
												SCREAMING_SNAKE_CASE							:					List[str]           =							pbstring[j + 1]
												SCREAMING_SNAKE_CASE							:					str           =							pbstring[j]

						return pb
def    A			(					_lowercase	,						_lowercase	,						_lowercase = (rotora, rotora, rotora)	,						_lowercase = ""	,						):
						SCREAMING_SNAKE_CASE							:					List[Any]           =							text.upper()
						SCREAMING_SNAKE_CASE       ,						SCREAMING_SNAKE_CASE       ,						SCREAMING_SNAKE_CASE							:					int           =							_validator(
						    _lowercase	,						_lowercase	,						plugb.upper()		)

						SCREAMING_SNAKE_CASE       ,						SCREAMING_SNAKE_CASE       ,						SCREAMING_SNAKE_CASE							:					Tuple           =							rotor_position
						SCREAMING_SNAKE_CASE       ,						SCREAMING_SNAKE_CASE       ,						SCREAMING_SNAKE_CASE							:					List[str]           =							rotor_selection
						rotorposa -= 1
						rotorposa -= 1
						rotorposa -= 1

						SCREAMING_SNAKE_CASE							:					Any           =							[]

						# encryption/decryption process --------------------------
						for symbol in text:
												if symbol in abc:
																		# 1st plugboard --------------------------
																		if symbol in plugboard:
																								SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							plugboard[symbol]

																		# rotor ra --------------------------
																		SCREAMING_SNAKE_CASE							:					List[Any]           =							abc.index(_lowercase		) + rotorposa
																		SCREAMING_SNAKE_CASE							:					Any           =							rotora[index % len(_lowercase		)]

																		# rotor rb --------------------------
																		SCREAMING_SNAKE_CASE							:					List[str]           =							abc.index(_lowercase		) + rotorposa
																		SCREAMING_SNAKE_CASE							:					str           =							rotora[index % len(_lowercase		)]

																		# rotor rc --------------------------
																		SCREAMING_SNAKE_CASE							:					Dict           =							abc.index(_lowercase		) + rotorposa
																		SCREAMING_SNAKE_CASE							:					int           =							rotora[index % len(_lowercase		)]

																		# reflector --------------------------
																		# this is the reason you don't need another machine to decipher

																		SCREAMING_SNAKE_CASE							:					int           =							reflector[symbol]

																		# 2nd rotors
																		SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							abc[rotora.index(_lowercase		) - rotorposa]
																		SCREAMING_SNAKE_CASE							:					List[str]           =							abc[rotora.index(_lowercase		) - rotorposa]
																		SCREAMING_SNAKE_CASE							:					Dict           =							abc[rotora.index(_lowercase		) - rotorposa]

																		# 2nd plugboard
																		if symbol in plugboard:
																								SCREAMING_SNAKE_CASE							:					Optional[Any]           =							plugboard[symbol]

																		# moves/resets rotor positions
																		rotorposa += 1
																		if rotorposa >= len(_lowercase		):
																								SCREAMING_SNAKE_CASE							:					Any           =							0
																								rotorposa += 1
																		if rotorposa >= len(_lowercase		):
																								SCREAMING_SNAKE_CASE							:					Optional[int]           =							0
																								rotorposa += 1
																		if rotorposa >= len(_lowercase		):
																								SCREAMING_SNAKE_CASE							:					str           =							0

        # else:
        #    pass
        #    Error could be also raised
        #    raise ValueError(
        #       'Invalid symbol('+repr(symbol)+')')
												result.append(_lowercase		)

						return "".join(_lowercase		)


if __name__ == "__main__":
					__UpperCamelCase	: Dict    		=  'This is my Python script that emulates the Enigma machine from WWII.'
					__UpperCamelCase	: Optional[Any]    		=  (1, 1, 1)
					__UpperCamelCase	: Union[str, Any]    		=  'pictures'
					__UpperCamelCase	: Union[str, Any]    		=  (rotora, rotora, rotora)
					__UpperCamelCase	: Tuple    		=  enigma(message, rotor_pos, rotor_sel, pb)

					print('Encrypted message:', en)
					print('Decrypted message:', enigma(en, rotor_pos, rotor_sel, pb))






import gc
import tempfile
import unittest

import numpy as np
import torch

from diffusers import VersatileDiffusionPipeline
from diffusers.utils.testing_utils import load_image, nightly, require_torch_gpu, torch_device


__UpperCamelCase	: str    		=  False





class       lowercase__		(     unittest.TestCase):
						pass






@nightly
@require_torch_gpu
class       lowercase__		(     unittest.TestCase):


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





												'''simple docstring'''





												super().tearDown()
												gc.collect()
												torch.cuda.empty_cache()


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





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					int           =							VersatileDiffusionPipeline.from_pretrained('''shi-labs/versatile-diffusion'''					,	torch_dtype=torch.floataa		)
												pipe.to(UpperCamelCase__		)
												pipe.set_progress_bar_config(disable=UpperCamelCase__		)

												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							load_image(
												    '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg'''		)

												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							torch.manual_seed(0		)
												SCREAMING_SNAKE_CASE							:					Dict           =							pipe.dual_guided(
												    prompt='''first prompt'''					,	image=UpperCamelCase__					,	text_to_image_strength=0.75					,	generator=UpperCamelCase__					,	guidance_scale=7.5					,	num_inference_steps=2					,	output_type='''numpy'''					,	).images

												with tempfile.TemporaryDirectory() as tmpdirname:
																		pipe.save_pretrained(UpperCamelCase__		)
																		SCREAMING_SNAKE_CASE							:					List[Any]           =							VersatileDiffusionPipeline.from_pretrained(UpperCamelCase__					,	torch_dtype=torch.floataa		)
												pipe.to(UpperCamelCase__		)
												pipe.set_progress_bar_config(disable=UpperCamelCase__		)

												SCREAMING_SNAKE_CASE							:					List[Any]           =							generator.manual_seed(0		)
												SCREAMING_SNAKE_CASE							:					int           =							pipe.dual_guided(
												    prompt='''first prompt'''					,	image=UpperCamelCase__					,	text_to_image_strength=0.75					,	generator=UpperCamelCase__					,	guidance_scale=7.5					,	num_inference_steps=2					,	output_type='''numpy'''					,	).images

												assert np.abs(image - new_image		).sum() < 1E-5, "Models don't have the same forward pass"



						def  __A ( self			:       str		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							VersatileDiffusionPipeline.from_pretrained('''shi-labs/versatile-diffusion'''					,	torch_dtype=torch.floataa		)
												pipe.to(UpperCamelCase__		)
												pipe.set_progress_bar_config(disable=UpperCamelCase__		)

												SCREAMING_SNAKE_CASE							:					Optional[int]           =							'''cyberpunk 2077'''
												SCREAMING_SNAKE_CASE							:					Tuple           =							load_image(
												    '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg'''		)
												SCREAMING_SNAKE_CASE							:					List[Any]           =							torch.manual_seed(0		)
												SCREAMING_SNAKE_CASE							:					Tuple           =							pipe.dual_guided(
												    prompt=UpperCamelCase__					,	image=UpperCamelCase__					,	text_to_image_strength=0.75					,	generator=UpperCamelCase__					,	guidance_scale=7.5					,	num_inference_steps=50					,	output_type='''numpy'''					,	).images

												SCREAMING_SNAKE_CASE							:					Tuple           =							image[0, 253:256, 253:256, -1]

												assert image.shape == (1, 512, 512, 3)
												SCREAMING_SNAKE_CASE							:					int           =							np.array([0.1448, 0.1619, 0.1741, 0.1086, 0.1147, 0.1128, 0.1199, 0.1165, 0.1001]		)

												assert np.abs(image_slice.flatten() - expected_slice		).max() < 1E-1

												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							'''A painting of a squirrel eating a burger '''
												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							torch.manual_seed(0		)
												SCREAMING_SNAKE_CASE							:					Any           =							pipe.text_to_image(
												    prompt=UpperCamelCase__					,	generator=UpperCamelCase__					,	guidance_scale=7.5					,	num_inference_steps=50					,	output_type='''numpy'''		).images

												SCREAMING_SNAKE_CASE							:					List[str]           =							image[0, 253:256, 253:256, -1]

												assert image.shape == (1, 512, 512, 3)
												SCREAMING_SNAKE_CASE							:					Any           =							np.array([0.3367, 0.3169, 0.2656, 0.3870, 0.4790, 0.3796, 0.4009, 0.4878, 0.4778]		)

												assert np.abs(image_slice.flatten() - expected_slice		).max() < 1E-1

												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							pipe.image_variation(UpperCamelCase__					,	generator=UpperCamelCase__					,	output_type='''numpy'''		).images

												SCREAMING_SNAKE_CASE							:					Optional[int]           =							image[0, 253:256, 253:256, -1]

												assert image.shape == (1, 512, 512, 3)
												SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							np.array([0.3076, 0.3123, 0.3284, 0.3782, 0.3770, 0.3894, 0.4297, 0.4331, 0.4456]		)

												assert np.abs(image_slice.flatten() - expected_slice		).max() < 1E-1





