



'''simple docstring'''


import unittest

import torch

from diffusers import DDIMScheduler, DDPMScheduler, UNetaDModel
from diffusers.training_utils import set_seed
from diffusers.utils.testing_utils import slow


lowercase_      :				Optional[Any]   					=    False




class      __UpperCamelCase       (unittest.TestCase			):







	def   _a   (    self ,				_lowerCAmelCase=32						)    ->    Union[str, Any]:
							'''simple docstring'''






							set_seed(0						)
							lowercase        =							UNetaDModel(sample_size=_lowerCAmelCase ,				in_channels=3 ,				out_channels=3						)
							lowercase        =							torch.optim.SGD(model.parameters() ,				lr=0.0001						)
							return model, optimizer







	@slow
	def   _a   (    self						)    ->    List[Any]:
							'''simple docstring'''






							lowercase        =							"""cpu"""  # ensure full determinism without setting the CUBLAS_WORKSPACE_CONFIG env variable
							lowercase        =							DDPMScheduler(
							    num_train_timesteps=1000 ,				beta_start=0.0001 ,				beta_end=0.02 ,				beta_schedule="""linear""" ,				clip_sample=_lowerCAmelCase ,				)
							lowercase        =							DDIMScheduler(
							    num_train_timesteps=1000 ,				beta_start=0.0001 ,				beta_end=0.02 ,				beta_schedule="""linear""" ,				clip_sample=_lowerCAmelCase ,				)

							assert ddpm_scheduler.config.num_train_timesteps == ddim_scheduler.config.num_train_timesteps

							# shared batches for DDPM and DDIM
							set_seed(0						)
							lowercase        =							[torch.randn((4, 3, 32, 32)						).clip(-1 ,				1						).to(_lowerCAmelCase						) for _ in range(4						)]
							lowercase        =							[torch.randn((4, 3, 32, 32)						).to(_lowerCAmelCase						) for _ in range(4						)]
							lowercase        =							[torch.randint(0 ,				1000 ,				(4,)						).long().to(_lowerCAmelCase						) for _ in range(4						)]

							# train with a DDPM scheduler
							lowercase     ,   lowercase        =							self.get_model_optimizer(resolution=32						)
							model.train().to(_lowerCAmelCase						)
							for i in range(4						):
													optimizer.zero_grad()
													lowercase        =							ddpm_scheduler.add_noise(clean_images[i] ,				noise[i] ,				timesteps[i]						)
													lowercase        =							model(_lowerCAmelCase ,				timesteps[i]						).sample
													lowercase        =							torch.nn.functional.mse_loss(_lowerCAmelCase ,				noise[i]						)
													loss.backward()
													optimizer.step()
							del model, optimizer

							# recreate the model and optimizer, and retry with DDIM
							lowercase     ,   lowercase        =							self.get_model_optimizer(resolution=32						)
							model.train().to(_lowerCAmelCase						)
							for i in range(4						):
													optimizer.zero_grad()
													lowercase        =							ddim_scheduler.add_noise(clean_images[i] ,				noise[i] ,				timesteps[i]						)
													lowercase        =							model(_lowerCAmelCase ,				timesteps[i]						).sample
													lowercase        =							torch.nn.functional.mse_loss(_lowerCAmelCase ,				noise[i]						)
													loss.backward()
													optimizer.step()
							del model, optimizer

							self.assertTrue(torch.allclose(_lowerCAmelCase ,				_lowerCAmelCase ,				atol=1E-5						)						)
							self.assertTrue(torch.allclose(_lowerCAmelCase ,				_lowerCAmelCase ,				atol=1E-5						)						)







'''simple docstring'''


def      SCREAMING_SNAKE_CASE				(				lowercase_    :      Union[str, Any] ,  lowercase_    :      str						):
						lowercase        =							""""""
						for i in table:
												res += inp[i - 1]
						return res







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      List[Any]						):
						return data[1:] + data[0]







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      Tuple ,  lowercase_    :      Dict						):
						lowercase        =							""""""
						for i in range(len(lowercase_						)						):
												if a[i] == b[i]:
																		res += "0"
												else:
																		res += "1"
						return res







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      str ,  lowercase_    :      str						):
						lowercase        =							int("""0b""" + data[0] + data[-1] ,  2						)
						lowercase        =							int("""0b""" + data[1:3] ,  2						)
						return bin(s[row][col]						)[2:]







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      Dict ,  lowercase_    :      Tuple ,  lowercase_    :      Tuple ,  lowercase_    :      str ,  lowercase_    :      Any						):
						lowercase        =							message[:4]
						lowercase        =							message[4:]
						lowercase        =							apply_table(lowercase_ ,  lowercase_						)
						lowercase        =							xor(lowercase_ ,  lowercase_						)
						lowercase        =							apply_sbox(lowercase_ ,  temp[:4]						)  # noqa: E741
						lowercase        =							apply_sbox(lowercase_ ,  temp[4:]						)
						lowercase        =							"""0""" * (2 - len(lowercase_						)) + l  # noqa: E741
						lowercase        =							"""0""" * (2 - len(lowercase_						)) + r
						lowercase        =							apply_table(l + r ,  lowercase_						)
						lowercase        =							xor(lowercase_ ,  lowercase_						)
						return temp + right


if __name__ == "__main__":
						lowercase_      :				Tuple   					=    input('''Enter 10 bit key: ''')
						lowercase_      :				Any   					=    input('''Enter 8 bit message: ''')

						lowercase_      :				Dict   					=    [6, 3, 7, 4, 8, 5, 10, 9]
						lowercase_      :				str   					=    [3, 5, 2, 7, 4, 10, 1, 9, 8, 6]
						lowercase_      :				List[Any]   					=    [2, 4, 3, 1]
						lowercase_      :				List[str]   					=    [2, 6, 3, 1, 4, 8, 5, 7]
						lowercase_      :				Tuple   					=    [4, 1, 3, 5, 7, 2, 8, 6]
						lowercase_      :				Optional[Any]   					=    [4, 1, 2, 3, 2, 3, 4, 1]
						lowercase_      :				List[str]   					=    [[1, 0, 3, 2], [3, 2, 1, 0], [0, 2, 1, 3], [3, 1, 3, 2]]
						lowercase_      :				List[Any]   					=    [[0, 1, 2, 3], [2, 0, 1, 3], [3, 0, 1, 0], [2, 1, 0, 3]]

						# key generation
						lowercase_      :				Union[str, Any]   					=    apply_table(key, paa_table)
						lowercase_      :				Optional[Any]   					=    temp[:5]
						lowercase_      :				int   					=    temp[5:]
						lowercase_      :				List[str]   					=    left_shift(left)
						lowercase_      :				int   					=    left_shift(right)
						lowercase_      :				Tuple   					=    apply_table(left + right, pa_table)
						lowercase_      :				List[str]   					=    left_shift(left)
						lowercase_      :				Optional[Any]   					=    left_shift(right)
						lowercase_      :				Union[str, Any]   					=    left_shift(left)
						lowercase_      :				Union[str, Any]   					=    left_shift(right)
						lowercase_      :				Optional[int]   					=    apply_table(left + right, pa_table)

						# encryption
						lowercase_      :				int   					=    apply_table(message, IP)
						lowercase_      :				Dict   					=    function(expansion, sa, sa, keya, temp)
						lowercase_      :				Any   					=    temp[4:] + temp[:4]
						lowercase_      :				List[Any]   					=    function(expansion, sa, sa, keya, temp)
						lowercase_      :				Tuple   					=    apply_table(temp, IP_inv)
						print('''Cipher text is:''', CT)

						# decryption
						lowercase_      :				List[str]   					=    apply_table(CT, IP)
						lowercase_      :				Optional[int]   					=    function(expansion, sa, sa, keya, temp)
						lowercase_      :				Optional[Any]   					=    temp[4:] + temp[:4]
						lowercase_      :				Optional[int]   					=    function(expansion, sa, sa, keya, temp)
						lowercase_      :				Optional[Any]   					=    apply_table(temp, IP_inv)
						print('''Plain text after decypting is:''', PT)


