





"""simple docstring"""


import random
import unittest

import torch

from diffusers import IFInpaintingPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device

from ..pipeline_params import (
    TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS,
    TEXT_GUIDED_IMAGE_INPAINTING_PARAMS,
)
from ..test_pipelines_common import PipelineTesterMixin
from . import IFPipelineTesterMixin






@skip_mps
class 							lowercase__			(   __SCREAMING_SNAKE_CASE					,     __SCREAMING_SNAKE_CASE					,     unittest.TestCase	):

			"""simple docstring"""
			__lowerCAmelCase     :				Tuple										=  IFInpaintingPipeline
			__lowerCAmelCase     :				Any										=  TEXT_GUIDED_IMAGE_INPAINTING_PARAMS - {"""width""", """height"""}
			__lowerCAmelCase     :				Tuple										=  TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS
			__lowerCAmelCase     :				Dict										=  PipelineTesterMixin.required_optional_params - {"""latents"""}







			def   _a      (      self    ):






									'''simple docstring'''







									return self._get_dummy_components()







			def   _a      (      self						,   _A						,   _A=0    ):






									'''simple docstring'''







									if str(_A    ).startswith("""mps"""    ):
															UpperCamelCase				:		Optional[Any]				   =			torch.manual_seed(_A    )
									else:
															UpperCamelCase				:		Optional[Any]				   =			torch.Generator(device=_A    ).manual_seed(_A    )

									UpperCamelCase				:		str				   =			floats_tensor((1, 3, 3_2, 3_2)						,   rng=random.Random(_A    )    ).to(_A    )
									UpperCamelCase				:		Union[str, Any]				   =			floats_tensor((1, 3, 3_2, 3_2)						,   rng=random.Random(_A    )    ).to(_A    )

									UpperCamelCase				:		Dict				   =			{
									    """prompt""": """A painting of a squirrel eating a burger""",
									    """image""": image,
									    """mask_image""": mask_image,
									    """generator""": generator,
									    """num_inference_steps""": 2,
									    """output_type""": """numpy""",
									}

									return inputs







			@unittest.skipIf(
			    torch_device != """cuda""" or not is_xformers_available()						,   reason="""XFormers attention is only available with CUDA and `xformers` installed"""						,   )
			def   _a      (      self    ):






									'''simple docstring'''







									self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1e-3    )







			def   _a      (      self    ):






									'''simple docstring'''







									self._test_save_load_optional_components()







			@unittest.skipIf(torch_device != """cuda"""						,   reason="""float16 requires CUDA"""    )
			def   _a      (      self    ):






									'''simple docstring'''







									super().test_save_load_floataa(expected_max_diff=1e-1    )







			def   _a      (      self    ):






									'''simple docstring'''







									self._test_attention_slicing_forward_pass(expected_max_diff=1e-2    )







			def   _a      (      self    ):






									'''simple docstring'''







									self._test_save_load_local()







			def   _a      (      self    ):






									'''simple docstring'''







									self._test_inference_batch_single_identical(
									    expected_max_diff=1e-2						,   )










"""simple docstring"""


def      UpperCamelCase							(SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE     ):
						UpperCamelCase				:		List[Any]				   =			""""""
						for i in table:
												res += inp[i - 1]
						return res

def      UpperCamelCase							(SCREAMING_SNAKE_CASE     ):
						return data[1:] + data[0]

def      UpperCamelCase							(SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE     ):
						UpperCamelCase				:		Union[str, Any]				   =			""""""
						for i in range(len(SCREAMING_SNAKE_CASE     )     ):
												if a[i] == b[i]:
																		res += "0"
												else:
																		res += "1"
						return res

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

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


if __name__ == "__main__":
		__magic_name__       :					Union[str, Any]						=			input("""Enter 10 bit key: """)
		__magic_name__       :					Union[str, Any]						=			input("""Enter 8 bit message: """)

		__magic_name__       :					Dict						=			[6, 3, 7, 4, 8, 5, 1_0, 9]
		__magic_name__       :					str						=			[3, 5, 2, 7, 4, 1_0, 1, 9, 8, 6]
		__magic_name__       :					Optional[Any]						=			[2, 4, 3, 1]
		__magic_name__       :					Tuple						=			[2, 6, 3, 1, 4, 8, 5, 7]
		__magic_name__       :					str						=			[4, 1, 3, 5, 7, 2, 8, 6]
		__magic_name__       :					str						=			[4, 1, 2, 3, 2, 3, 4, 1]
		__magic_name__       :					Any						=			[[1, 0, 3, 2], [3, 2, 1, 0], [0, 2, 1, 3], [3, 1, 3, 2]]
		__magic_name__       :					Any						=			[[0, 1, 2, 3], [2, 0, 1, 3], [3, 0, 1, 0], [2, 1, 0, 3]]

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

		# encryption
		__magic_name__       :					List[str]						=			apply_table(message, IP)
		__magic_name__       :					str						=			function(expansion, sa, sa, keya, temp)
		__magic_name__       :					str						=			temp[4:] + temp[:4]
		__magic_name__       :					Optional[Any]						=			function(expansion, sa, sa, keya, temp)
		__magic_name__       :					Any						=			apply_table(temp, IP_inv)
		print("""Cipher text is:""", CT)

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



