






import gc
import tempfile
import unittest

import numpy as np
import torch

from diffusers import VersatileDiffusionTextToImagePipeline
from diffusers.utils.testing_utils import nightly, require_torch_gpu, torch_device


_a      	=  False





class __lowerCamelCase (      unittest.TestCase):





	"""simple docstring"""






	pass





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





	"""simple docstring"""






	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







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

	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							_UpperCAmelCase									=			VersatileDiffusionTextToImagePipeline.from_pretrained('shi-labs/versatile-diffusion'    )
							# remove text_unet
							pipe.remove_unused_weights()
							pipe.to(UpperCAmelCase    )
							pipe.set_progress_bar_config(disable=UpperCAmelCase    )

							_UpperCAmelCase									=			'A painting of a squirrel eating a burger '
							_UpperCAmelCase									=			torch.manual_seed(0    )
							_UpperCAmelCase									=			pipe(
							    prompt=UpperCAmelCase       ,    generator=UpperCAmelCase       ,    guidance_scale=7.5       ,    num_inference_steps=2       ,    output_type='numpy'    ).images

							with tempfile.TemporaryDirectory() as tmpdirname:
													pipe.save_pretrained(UpperCAmelCase    )
													_UpperCAmelCase									=			VersatileDiffusionTextToImagePipeline.from_pretrained(UpperCAmelCase    )
							pipe.to(UpperCAmelCase    )
							pipe.set_progress_bar_config(disable=UpperCAmelCase    )

							_UpperCAmelCase									=			generator.manual_seed(0    )
							_UpperCAmelCase									=			pipe(
							    prompt=UpperCAmelCase       ,    generator=UpperCAmelCase       ,    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        UpperCamelCase    (							self    ):
							"""simple docstring"""







							_UpperCAmelCase									=			VersatileDiffusionTextToImagePipeline.from_pretrained(
							    'shi-labs/versatile-diffusion'       ,    torch_dtype=torch.floataa    )
							pipe.to(UpperCAmelCase    )
							pipe.set_progress_bar_config(disable=UpperCAmelCase    )

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

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

							assert image.shape == (1, 512, 512, 3)
							_UpperCAmelCase									=			np.array([0.33_67, 0.31_69, 0.26_56, 0.38_70, 0.47_90, 0.37_96, 0.40_09, 0.48_78, 0.47_78]    )

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








class __lowerCamelCase :





	"""simple docstring"""






	def __init__(							self    ):
							"""simple docstring"""







							_UpperCAmelCase									=			{}  # Mapping from char to TrieNode
							_UpperCAmelCase									=			False

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							for word in words:
													self.insert(UpperCAmelCase    )

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			self
							for char in word:
													if char not in curr.nodes:
																			_UpperCAmelCase									=			TrieNode()
													_UpperCAmelCase									=			curr.nodes[char]
							_UpperCAmelCase									=			True

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			self
							for char in word:
													if char not in curr.nodes:
																			return False
													_UpperCAmelCase									=			curr.nodes[char]
							return curr.is_leaf

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							def _delete(UpperCAmelCase       ,    UpperCAmelCase       ,    UpperCAmelCase    ) -> bool:
													if index == len(UpperCAmelCase    ):
																			# If word does not exist
																			if not curr.is_leaf:
																									return False
																			_UpperCAmelCase									=			False
																			return len(curr.nodes    ) == 0
													_UpperCAmelCase									=			word[index]
													_UpperCAmelCase									=			curr.nodes.get(UpperCAmelCase    )
													# If char not in current trie node
													if not char_node:
																			return False
													# Flag to check if node can be deleted
													_UpperCAmelCase									=			_delete(UpperCAmelCase       ,    UpperCAmelCase       ,    index + 1    )
													if delete_curr:
																			del curr.nodes[char]
																			return len(curr.nodes    ) == 0
													return delete_curr

							_delete(self       ,    UpperCAmelCase       ,    0    )



def __A    (      __lowerCAmelCase ,		__lowerCAmelCase	)->  None:





						"""simple docstring"""



						if node.is_leaf:
												print(__lowerCAmelCase ,		end=' '	)

						for key, value in node.nodes.items():
												print_words(__lowerCAmelCase ,		word + key	)


def __A    (      )->  bool:





						"""simple docstring"""



						_UpperCAmelCase									=			'banana bananas bandana band apple all beast'.split()
						_UpperCAmelCase									=			TrieNode()
						root.insert_many(__lowerCAmelCase	)
						# print_words(root, "")
						assert all(root.find(__lowerCAmelCase	) for word in words	)
						assert root.find('banana'	)
						assert not root.find('bandanas'	)
						assert not root.find('apps'	)
						assert root.find('apple'	)
						assert root.find('all'	)
						root.delete('all'	)
						assert not root.find('all'	)
						root.delete('banana'	)
						assert not root.find('banana'	)
						assert root.find('bananas'	)
						return True


def __A    (      __lowerCAmelCase ,		__lowerCAmelCase	)->  None:





						"""simple docstring"""



						print(str(__lowerCAmelCase	) ,		'works!' if passes else 'doesn\'t work :('	)


def __A    (      )->  None:





						"""simple docstring"""



						assert test_trie()


def __A    (      )->  None:





						"""simple docstring"""



						print_results('Testing trie functionality' ,		test_trie()	)


if __name__ == "__main__":
		main()
