






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__							  =						False






class 						lowercase_   (      unittest.TestCase  ):






      '''simple docstring'''




      pass






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






      '''simple docstring'''




      def  __lowerCAmelCase   ( self :		str    )       ->Optional[Any]:




       """simple docstring"""


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







      def  __lowerCAmelCase   ( self :		Dict    )       ->List[str]:




       """simple docstring"""


       a						    = VersatileDiffusionPipeline.from_pretrained('''shi-labs/versatile-diffusion'''					,   torch_dtype=torch.floataa    )
       pipe.to(__lowerCamelCase    )
       pipe.set_progress_bar_config(disable=__lowerCamelCase    )

       a						    = load_image(
           '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg'''    )

       a						    = torch.manual_seed(0    )
       a						    = pipe.dual_guided(
           prompt='''first prompt'''					,   image=__lowerCamelCase					,   text_to_image_strength=0.75					,   generator=__lowerCamelCase					,   guidance_scale=7.5					,   num_inference_steps=2					,   output_type='''numpy'''					,   ).images

       with tempfile.TemporaryDirectory() as tmpdirname:
        pipe.save_pretrained(__lowerCamelCase    )
        a						    = VersatileDiffusionPipeline.from_pretrained(__lowerCamelCase					,   torch_dtype=torch.floataa    )
       pipe.to(__lowerCamelCase    )
       pipe.set_progress_bar_config(disable=__lowerCamelCase    )

       a						    = generator.manual_seed(0    )
       a						    = pipe.dual_guided(
           prompt='''first prompt'''					,   image=__lowerCamelCase					,   text_to_image_strength=0.75					,   generator=__lowerCamelCase					,   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  __lowerCAmelCase   ( self :		Optional[Any]    )       ->Union[str, Any]:




       """simple docstring"""


       a						    = VersatileDiffusionPipeline.from_pretrained('''shi-labs/versatile-diffusion'''					,   torch_dtype=torch.floataa    )
       pipe.to(__lowerCamelCase    )
       pipe.set_progress_bar_config(disable=__lowerCamelCase    )

       a						    = '''cyberpunk 2077'''
       a						    = load_image(
           '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg'''    )
       a						    = torch.manual_seed(0    )
       a						    = pipe.dual_guided(
           prompt=__lowerCamelCase					,   image=__lowerCamelCase					,   text_to_image_strength=0.75					,   generator=__lowerCamelCase					,   guidance_scale=7.5					,   num_inference_steps=50					,   output_type='''numpy'''					,   ).images

       a						    = image[0, 253:256, 253:256, -1]

       assert image.shape == (1, 512, 512, 3)
       a						    = 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

       a						    = '''A painting of a squirrel eating a burger '''
       a						    = torch.manual_seed(0    )
       a						    = pipe.text_to_image(
           prompt=__lowerCamelCase					,   generator=__lowerCamelCase					,   guidance_scale=7.5					,   num_inference_steps=50					,   output_type='''numpy'''    ).images

       a						    = image[0, 253:256, 253:256, -1]

       assert image.shape == (1, 512, 512, 3)
       a						    = 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

       a						    = pipe.image_variation(__lowerCamelCase					,   generator=__lowerCamelCase					,   output_type='''numpy'''    ).images

       a						    = image[0, 253:256, 253:256, -1]

       assert image.shape == (1, 512, 512, 3)
       a						    = 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









class 		snake_case_   :







	'''simple docstring'''




	def __init__(						self							:     Dict					,      __lowerCamelCase							:     int					,      __lowerCamelCase							:     Optional[Any]=None					,      __lowerCamelCase							:     Optional[Any]=None   )       -> Dict:

			'''simple docstring'''




			__lowercase											=     data
			__lowercase											=     previous
			__lowercase											=     next_node




	def __str__(						self							:     int   )       -> str:

			'''simple docstring'''




			return F"{self.data}"




	def    UpperCAmelCase			(						self							:     int   )       -> int:

			'''simple docstring'''




			return self.data




	def    UpperCAmelCase			(						self							:     Tuple   )       -> Optional[int]:

			'''simple docstring'''




			return self.next






	def    UpperCAmelCase			(						self							:     Optional[int]   )       -> Any:

			'''simple docstring'''




			return self.previous





class 		snake_case_   :







	'''simple docstring'''




	def __init__(						self							:     Tuple					,      __lowerCamelCase							:     Optional[Any]   )       -> str:

			'''simple docstring'''




			__lowercase											=     head




	def __iter__(						self							:     Union[str, Any]   )       -> List[Any]:

			'''simple docstring'''




			return self






	def    UpperCAmelCase			(						self							:     str   )       -> str:

			'''simple docstring'''




			if not self.current:
					raise StopIteration
			else:
					__lowercase											=     self.current.get_data()
					__lowercase											=     self.current.get_next()
					return value





class 		snake_case_   :







	'''simple docstring'''




	def __init__(						self							:     List[str]   )       -> Any:

			'''simple docstring'''




			__lowercase											=     None  # First node in list
			__lowercase											=     None  # Last node in list




	def __str__(						self							:     int   )       -> Any:

			'''simple docstring'''




			__lowercase											=     self.head
			__lowercase											=     []
			while current is not None:
					nodes.append(current.get_data()   )
					__lowercase											=     current.get_next()
			return " ".join(str(__lowerCamelCase   ) for node in nodes   )




	def __contains__(						self							:     Tuple					,      __lowerCamelCase							:     int   )       -> List[Any]:

			'''simple docstring'''




			__lowercase											=     self.head
			while current:
					if current.get_data() == value:
							return True
					__lowercase											=     current.get_next()
			return False




	def __iter__(						self							:     Optional[int]   )       -> List[str]:

			'''simple docstring'''




			return LinkedListIterator(self.head   )




	def    UpperCAmelCase			(						self							:     Any   )       -> str:

			'''simple docstring'''




			if self.head:
					return self.head.get_data()
			return None




	def    UpperCAmelCase			(						self							:     str   )       -> Union[str, Any]:

			'''simple docstring'''




			if self.tail:
					return self.tail.get_data()
			return None




	def    UpperCAmelCase			(						self							:     str					,      __lowerCamelCase							:     Node   )       -> None:

			'''simple docstring'''




			if self.head is None:
					__lowercase											=     node
					__lowercase											=     node
			else:
					self.insert_before_node(self.head					,      __lowerCamelCase   )




	def    UpperCAmelCase			(						self							:     Dict					,      __lowerCamelCase							:     Node   )       -> None:

			'''simple docstring'''




			if self.head is None:
					self.set_head(__lowerCamelCase   )
			else:
					self.insert_after_node(self.tail					,      __lowerCamelCase   )




	def    UpperCAmelCase			(						self							:     Optional[Any]					,      __lowerCamelCase							:     int   )       -> None:

			'''simple docstring'''




			__lowercase											=     Node(__lowerCamelCase   )
			if self.head is None:
					self.set_head(__lowerCamelCase   )
			else:
					self.set_tail(__lowerCamelCase   )




	def    UpperCAmelCase			(						self							:     int					,      __lowerCamelCase							:     Node					,      __lowerCamelCase							:     Node   )       -> None:

			'''simple docstring'''




			__lowercase											=     node
			__lowercase											=     node.previous

			if node.get_previous() is None:
					__lowercase											=     node_to_insert
			else:
					__lowercase											=     node_to_insert

			__lowercase											=     node_to_insert




	def    UpperCAmelCase			(						self							:     Optional[Any]					,      __lowerCamelCase							:     Node					,      __lowerCamelCase							:     Node   )       -> None:

			'''simple docstring'''




			__lowercase											=     node
			__lowercase											=     node.next

			if node.get_next() is None:
					__lowercase											=     node_to_insert
			else:
					__lowercase											=     node_to_insert

			__lowercase											=     node_to_insert




	def    UpperCAmelCase			(						self							:     List[str]					,      __lowerCamelCase							:     int					,      __lowerCamelCase							:     int   )       -> None:

			'''simple docstring'''




			__lowercase											=     1
			__lowercase											=     Node(__lowerCamelCase   )
			__lowercase											=     self.head
			while node:
					if current_position == position:
							self.insert_before_node(__lowerCamelCase					,      __lowerCamelCase   )
							return
					current_position += 1
					__lowercase											=     node.next
			self.insert_after_node(self.tail					,      __lowerCamelCase   )




	def    UpperCAmelCase			(						self							:     Optional[Any]					,      __lowerCamelCase							:     int   )       -> Node:

			'''simple docstring'''




			__lowercase											=     self.head
			while node:
					if node.get_data() == item:
							return node
					__lowercase											=     node.get_next()
			raise Exception('Node not found'   )




	def    UpperCAmelCase			(						self							:     Optional[Any]					,      __lowerCamelCase							:     List[str]   )       -> Dict:

			'''simple docstring'''




			if (node := self.get_node(__lowerCamelCase   )) is not None:
					if node == self.head:
							__lowercase											=     self.head.get_next()

					if node == self.tail:
							__lowercase											=     self.tail.get_previous()

					self.remove_node_pointers(__lowerCamelCase   )




	@staticmethod
	def    UpperCAmelCase			(						__lowerCamelCase							:     Node   )       -> None:

			'''simple docstring'''




			if node.get_next():
					__lowercase											=     node.previous

			if node.get_previous():
					__lowercase											=     node.next

			__lowercase											=     None
			__lowercase											=     None






	def    UpperCAmelCase			(						self							:     str   )       -> List[str]:

			'''simple docstring'''




			return self.head is None





def  SCREAMING_SNAKE_CASE				(      )		->    None:
		pass


if __name__ == "__main__":
		import doctest

		doctest.testmod()




