





import unittest

import numpy as np
import torch

from diffusers import DDPMPipeline, DDPMScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu, slow, torch_device


enable_full_determinism()

class 			A_ (unittest.TestCase    ):
	@property
	def   _lowercase       (					self	):






				'''simple docstring'''







				torch.manual_seed(0	)
				UpperCAmelCase     	=       UNetaDModel(
				    block_out_channels=(3_2, 6_4)							,      layers_per_block=2							,      sample_size=3_2							,      in_channels=3							,      out_channels=3							,      down_block_types=('''DownBlock2D''', '''AttnDownBlock2D''')							,      up_block_types=('''AttnUpBlock2D''', '''UpBlock2D''')							,      )
				return model
	def   _lowercase       (					self	):






				'''simple docstring'''







				UpperCAmelCase     	=       '''cpu'''
				UpperCAmelCase     	=       self.dummy_uncond_unet
				UpperCAmelCase     	=       DDPMScheduler()

				UpperCAmelCase     	=       DDPMPipeline(unet=_A							,      scheduler=_A	)
				ddpm.to(_A	)
				ddpm.set_progress_bar_config(disable=_A	)

				UpperCAmelCase     	=       torch.Generator(device=_A	).manual_seed(0	)
				UpperCAmelCase     	=       ddpm(generator=_A							,      num_inference_steps=2							,      output_type='''numpy'''	).images

				UpperCAmelCase     	=       torch.Generator(device=_A	).manual_seed(0	)
				UpperCAmelCase     	=       ddpm(generator=_A							,      num_inference_steps=2							,      output_type='''numpy'''							,      return_dict=_A	)[0]

				UpperCAmelCase     	=       image[0, -3:, -3:, -1]
				UpperCAmelCase     	=       image_from_tuple[0, -3:, -3:, -1]

				assert image.shape == (1, 3_2, 3_2, 3)
				UpperCAmelCase     	=       np.array(
				    [9.956E-01, 5.785E-01, 4.675E-01, 9.930E-01, 0.0, 1.0_00, 1.199E-03, 2.648E-04, 5.101E-04]	)

				assert np.abs(image_slice.flatten() - expected_slice	).max() < 1E-2
				assert np.abs(image_from_tuple_slice.flatten() - expected_slice	).max() < 1E-2







	def   _lowercase       (					self	):






				'''simple docstring'''







				UpperCAmelCase     	=       self.dummy_uncond_unet
				UpperCAmelCase     	=       DDPMScheduler(prediction_type='''sample'''	)

				UpperCAmelCase     	=       DDPMPipeline(unet=_A							,      scheduler=_A	)
				ddpm.to(_A	)
				ddpm.set_progress_bar_config(disable=_A	)

				UpperCAmelCase     	=       torch.manual_seed(0	)
				UpperCAmelCase     	=       ddpm(generator=_A							,      num_inference_steps=2							,      output_type='''numpy'''	).images

				UpperCAmelCase     	=       torch.manual_seed(0	)
				UpperCAmelCase     	=       ddpm(generator=_A							,      num_inference_steps=2							,      output_type='''numpy'''	)[0]

				UpperCAmelCase     	=       image[0, -3:, -3:, -1]
				UpperCAmelCase     	=       image_eps[0, -3:, -3:, -1]

				assert image.shape == (1, 3_2, 3_2, 3)
				UpperCAmelCase     	=       1E-2 if torch_device != '''mps''' else 3E-2
				assert np.abs(image_slice.flatten() - image_eps_slice.flatten()	).max() < tolerance

@slow
@require_torch_gpu
class 			A_ (unittest.TestCase    ):
	def   _lowercase       (					self	):






				'''simple docstring'''







				UpperCAmelCase     	=       '''google/ddpm-cifar10-32'''

				UpperCAmelCase     	=       UNetaDModel.from_pretrained(_A	)
				UpperCAmelCase     	=       DDPMScheduler.from_pretrained(_A	)

				UpperCAmelCase     	=       DDPMPipeline(unet=_A							,      scheduler=_A	)
				ddpm.to(_A	)
				ddpm.set_progress_bar_config(disable=_A	)

				UpperCAmelCase     	=       torch.manual_seed(0	)
				UpperCAmelCase     	=       ddpm(generator=_A							,      output_type='''numpy'''	).images

				UpperCAmelCase     	=       image[0, -3:, -3:, -1]

				assert image.shape == (1, 3_2, 3_2, 3)
				UpperCAmelCase     	=       np.array([0.42_00, 0.35_88, 0.19_39, 0.38_47, 0.33_82, 0.26_47, 0.41_55, 0.35_82, 0.33_85]	)
				assert np.abs(image_slice.flatten() - expected_slice	).max() < 1E-2










import numpy as np





def 		__SCREAMING_SNAKE_CASE						(       UpperCamelCase__    ,    UpperCamelCase__="utf-8"    ,    UpperCamelCase__="surrogatepass"				)						->       Optional[Any]:







			'''simple docstring'''

			UpperCAmelCase     	=       bin(int.from_bytes(text.encode(UpperCamelCase__    ,    UpperCamelCase__				)    ,    '''big'''				)				)[2:]
			return bits.zfill(8 * ((len(UpperCamelCase__				) + 7) // 8)				)





def 		__SCREAMING_SNAKE_CASE						(       UpperCamelCase__    ,    UpperCamelCase__="utf-8"    ,    UpperCamelCase__="surrogatepass"				)						->       str:







			'''simple docstring'''

			UpperCAmelCase     	=       int(UpperCamelCase__    ,    2				)
			return n.to_bytes((n.bit_length() + 7) // 8    ,    '''big'''				).decode(UpperCamelCase__    ,    UpperCamelCase__				) or "\0"





def 		__SCREAMING_SNAKE_CASE						(       UpperCamelCase__    ,    UpperCamelCase__				)						->       Tuple:







			'''simple docstring'''

			if size_par + len(UpperCamelCase__				) <= 2**size_par - (len(UpperCamelCase__				) - 1):
						raise ValueError('''size of parity don\'t match with size of data'''				)

			UpperCAmelCase     	=       []
			UpperCAmelCase     	=       []
			UpperCAmelCase     	=       [bin(UpperCamelCase__				)[2:] for x in range(1    ,    size_par + len(UpperCamelCase__				) + 1				)]

			# sorted information data for the size of the output data
			UpperCAmelCase     	=       []
			# data position template + parity
			UpperCAmelCase     	=       []
			# parity bit counter
			UpperCAmelCase     	=       0
			# counter position of data bits
			UpperCAmelCase     	=       0

			for x in range(1    ,    size_par + len(UpperCamelCase__				) + 1				):
						# Performs a template of bit positions - who should be given,
						# and who should be parity
						if qtd_bp < size_par:
									if (np.log(UpperCamelCase__				) / np.log(2				)).is_integer():
												data_out_gab.append('''P'''				)
												UpperCAmelCase     	=       qtd_bp + 1
									else:
												data_out_gab.append('''D'''				)
						else:
									data_out_gab.append('''D'''				)

						# Sorts the data to the new output size
						if data_out_gab[-1] == "D":
									data_ord.append(data[cont_data]				)
									cont_data += 1
						else:
									data_ord.append(UpperCamelCase__				)

    # Calculates parity
			UpperCAmelCase     	=       0  # parity bit counter
			for bp in range(1    ,    size_par + 1				):
						# Bit counter one for a given parity
						UpperCAmelCase     	=       0
						# counter to control the loop reading
						UpperCAmelCase     	=       0
						for x in data_ord:
									if x is not None:
												try:
															UpperCAmelCase     	=       (bin_pos[cont_loop])[-1 * (bp)]
												except IndexError:
															UpperCAmelCase     	=       '''0'''
												if aux == "1" and x == "1":
															cont_bo += 1
									cont_loop += 1
						parity.append(cont_bo % 2				)

						qtd_bp += 1

			# Mount the message
			UpperCAmelCase     	=       0  # parity bit counter
			for x in range(0    ,    size_par + len(UpperCamelCase__				)				):
						if data_ord[x] is None:
									data_out.append(str(parity[cont_bp]				)				)
									cont_bp += 1
						else:
									data_out.append(data_ord[x]				)

			return data_out





def 		__SCREAMING_SNAKE_CASE						(       UpperCamelCase__    ,    UpperCamelCase__				)						->       Optional[int]:







			'''simple docstring'''

			UpperCAmelCase     	=       []
			# Parity bit counter
			UpperCAmelCase     	=       0
			# Counter p data bit reading
			UpperCAmelCase     	=       0
			# list of parity received
			UpperCAmelCase     	=       []
			UpperCAmelCase     	=       []

			for x in range(1    ,    len(UpperCamelCase__				) + 1				):
						# Performs a template of bit positions - who should be given,
						#  and who should be parity
						if qtd_bp < size_par and (np.log(UpperCamelCase__				) / np.log(2				)).is_integer():
									data_out_gab.append('''P'''				)
									UpperCAmelCase     	=       qtd_bp + 1
						else:
									data_out_gab.append('''D'''				)

						# Sorts the data to the new output size
						if data_out_gab[-1] == "D":
									data_output.append(data[cont_data]				)
						else:
									parity_received.append(data[cont_data]				)
						cont_data += 1

			# -----------calculates the parity with the data
			UpperCAmelCase     	=       []
			UpperCAmelCase     	=       []
			UpperCAmelCase     	=       [bin(UpperCamelCase__				)[2:] for x in range(1    ,    size_par + len(UpperCamelCase__				) + 1				)]

			#  sorted information data for the size of the output data
			UpperCAmelCase     	=       []
			# Data position feedback + parity
			UpperCAmelCase     	=       []
			# Parity bit counter
			UpperCAmelCase     	=       0
			# Counter p data bit reading
			UpperCAmelCase     	=       0

			for x in range(1    ,    size_par + len(UpperCamelCase__				) + 1				):
						# Performs a template position of bits - who should be given,
						# and who should be parity
						if qtd_bp < size_par and (np.log(UpperCamelCase__				) / np.log(2				)).is_integer():
									data_out_gab.append('''P'''				)
									UpperCAmelCase     	=       qtd_bp + 1
						else:
									data_out_gab.append('''D'''				)

						# Sorts the data to the new output size
						if data_out_gab[-1] == "D":
									data_ord.append(data_output[cont_data]				)
									cont_data += 1
						else:
									data_ord.append(UpperCamelCase__				)

    # Calculates parity
			UpperCAmelCase     	=       0  # parity bit counter
			for bp in range(1    ,    size_par + 1				):
						# Bit counter one for a certain parity
						UpperCAmelCase     	=       0
						# Counter to control loop reading
						UpperCAmelCase     	=       0
						for x in data_ord:
									if x is not None:
												try:
															UpperCAmelCase     	=       (bin_pos[cont_loop])[-1 * (bp)]
												except IndexError:
															UpperCAmelCase     	=       '''0'''
												if aux == "1" and x == "1":
															cont_bo += 1
									cont_loop += 1
						parity.append(str(cont_bo % 2				)				)

						qtd_bp += 1

			# Mount the message
			UpperCAmelCase     	=       0  # Parity bit counter
			for x in range(0    ,    size_par + len(UpperCamelCase__				)				):
						if data_ord[x] is None:
									data_out.append(str(parity[cont_bp]				)				)
									cont_bp += 1
						else:
									data_out.append(data_ord[x]				)

			UpperCAmelCase     	=       parity_received == parity
			return data_output, ack



