



from __future__ import annotations






def 				A				(					_lowerCamelCase				, _lowerCamelCase  ):





							'''simple docstring'''




							_lowerCAmelCase     :							Tuple    =    get_failure_array(_lowerCamelCase  )

							# 2) Step through text searching for pattern
							_lowerCAmelCase   ,    _lowerCAmelCase     :							Optional[int]    =    0, 0  # index into text, pattern
							while i < len(_lowerCamelCase  ):
														if pattern[j] == text[i]:
																					if j == (len(_lowerCamelCase  ) - 1):
																												return True
																					j += 1

														# if this is a prefix in our pattern
														# just go back far enough to continue
														elif j > 0:
																					_lowerCAmelCase     :							Tuple    =    failure[j - 1]
																					continue
														i += 1
							return False






def 				A				(					_lowerCamelCase  ):





							'''simple docstring'''




							_lowerCAmelCase     :							int    =    [0]
							_lowerCAmelCase     :							str    =    0
							_lowerCAmelCase     :							Any    =    1
							while j < len(_lowerCamelCase  ):
														if pattern[i] == pattern[j]:
																					i += 1
														elif i > 0:
																					_lowerCAmelCase     :							str    =    failure[i - 1]
																					continue
														j += 1
														failure.append(_lowerCamelCase  )
							return failure


if __name__ == "__main__":
						# Test 1)
						_snake_case		=  "abc1abc12"
						_snake_case		=  "alskfjaldsabc1abc1abc12k23adsfabcabc"
						_snake_case		=  "alskfjaldsk23adsfabcabc"
						assert kmp(pattern, texta) and not kmp(pattern, texta)

						# Test 2)
						_snake_case		=  "ABABX"
						_snake_case		=  "ABABZABABYABABX"
						assert kmp(pattern, text)

						# Test 3)
						_snake_case		=  "AAAB"
						_snake_case		=  "ABAAAAAB"
						assert kmp(pattern, text)

						# Test 4)
						_snake_case		=  "abcdabcy"
						_snake_case		=  "abcxabcdabxabcdabcdabcy"
						assert kmp(pattern, text)

						# Test 5)
						_snake_case		=  "aabaabaaa"
						assert get_failure_array(pattern) == [0, 1, 0, 1, 2, 3, 4, 5, 2]





from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
						if not (is_transformers_available() and is_torch_available() and is_transformers_version(">=", "4.25.0")):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import (
						    VersatileDiffusionDualGuidedPipeline,
						    VersatileDiffusionImageVariationPipeline,
						    VersatileDiffusionPipeline,
						    VersatileDiffusionTextToImagePipeline,
						)
else:
						from .modeling_text_unet import UNetFlatConditionModel
						from .pipeline_versatile_diffusion import VersatileDiffusionPipeline
						from .pipeline_versatile_diffusion_dual_guided import VersatileDiffusionDualGuidedPipeline
						from .pipeline_versatile_diffusion_image_variation import VersatileDiffusionImageVariationPipeline
						from .pipeline_versatile_diffusion_text_to_image import VersatileDiffusionTextToImagePipeline
