



import unittest

import numpy as np
import torch

from diffusers import VersatileDiffusionImageVariationPipeline
from diffusers.utils.testing_utils import load_image, require_torch_gpu, slow, torch_device


a__   :					int 						=      False



class    UpperCAmelCase__(				unittest.TestCase						):

   '''simple docstring'''




   pass



@slow
@require_torch_gpu
class    UpperCAmelCase__(				unittest.TestCase						):

   '''simple docstring'''




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




         """simple docstring"""

         lowercase__  =	VersatileDiffusionImageVariationPipeline.from_pretrained('shi-labs/versatile-diffusion')
         pipe.to(lowerCAmelCase)
         pipe.set_progress_bar_config(disable=lowerCAmelCase)

         lowercase__  =	load_image(
             'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg')
         lowercase__  =	torch.manual_seed(0)
         lowercase__  =	pipe(
             image=lowerCAmelCase      ,					generator=lowerCAmelCase      ,					guidance_scale=7.5      ,					num_inference_steps=50      ,					output_type='numpy'      ,					).images

         lowercase__  =	image[0, 2_53:2_56, 2_53:2_56, -1]

         assert image.shape == (1, 5_12, 5_12, 3)
         lowercase__  =	np.array([0.04_41, 0.04_69, 0.05_07, 0.05_75, 0.06_32, 0.06_50, 0.08_65, 0.09_09, 0.09_45])

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





from __future__ import annotations

def 	_lowerCAmelCase (    A__    ,	A__ = None						):
      lowercase__  =	word_bank or []
      # create a table
      lowercase__  =	len(A__						) + 1

      lowercase__  =	[]
      for _ in range(A__						):
            table.append([]						)
      # seed value
      lowercase__  =	[[]]  # because empty string has empty combination

      # iterate through the indices
      for i in range(A__						):
            # condition
            if table[i] != []:
                  for word in word_bank:
                        # slice condition
                        if target[i : i + len(A__						)] == word:
                              lowercase__  =	[
                                  [word, *way] for way in table[i]
                              ]
                              # adds the word to every combination the current position holds
                              # now,push that combination to the table[i+len(word)]
                              table[i + len(A__						)] += new_combinations

    # combinations are in reverse order so reverse for better output
      for combination in table[len(A__						)]:
            combination.reverse()

      return table[len(A__						)]


if __name__ == "__main__":
       print(all_construct("jwajalapa", ["jwa", "j", "w", "a", "la", "lapa"]))
       print(all_construct("rajamati", ["s", "raj", "amat", "raja", "ma", "i", "t"]))
       print(
           all_construct(
               "hexagonosaurus",
               ["h", "ex", "hex", "ag", "ago", "ru", "auru", "rus", "go", "no", "o", "s"],
           )
       )
