





import unittest

import torch

from diffusers import DDIMScheduler, TextToVideoZeroPipeline
from diffusers.utils import load_pt, require_torch_gpu, slow

from ..test_pipelines_common import assert_mean_pixel_difference
@slow
@require_torch_gpu
class lowerCamelCase__  (    unittest.TestCase				):



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







      """simple docstring"""
      lowercase    :			Union[str, Any]  =       """runwayml/stable-diffusion-v1-5"""
      lowercase    :			Optional[int]  =       TextToVideoZeroPipeline.from_pretrained(snake_case      ,   torch_dtype=torch.floataa	).to("""cuda"""	)
      lowercase    :			int  =       DDIMScheduler.from_config(pipe.scheduler.config	)
      lowercase    :			Any  =       torch.Generator(device="""cuda"""	).manual_seed(0	)

      lowercase    :			Optional[Any]  =       """A bear is playing a guitar on Times Square"""
      lowercase    :			Any  =       pipe(prompt=snake_case      ,   generator=snake_case	).images

      lowercase    :			List[Any]  =       load_pt(
          """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/text-to-video/A bear is playing a guitar on Times Square.pt"""	)

      assert_mean_pixel_difference(snake_case      ,   snake_case	)









"""simple docstring"""
import math




def 			__snake_case						(      __A    )		->				float:
   lowercase    :			List[Any]  =       math.log(2 ,10    ) * number
   lowercase    :			Tuple  =       round((log_number - int(__A    )) ,15    )

   return difference




def 			__snake_case						(      __A = 678910    )		->				int:
   lowercase    :			Any  =       90
   lowercase    :			Optional[Any]  =       0

   lowercase    :			List[str]  =       math.log(1.23 ,10    )
   lowercase    :			str  =       math.log(1.24 ,10    )
   lowercase    :			str  =       0

   while position < number:
      lowercase    :			Optional[Any]  =       log_difference(__A    )

      if difference >= upper_limit:
         power_iterator += 93

      elif difference < lower_limit:
         power_iterator += 196

      else:
         lowercase    :			List[Any]  =       power_iterator
         power_iterator += 196
         position += 1

   return previous_power


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   print(F'{solution() = }')


