






from __future__ import annotations


def __A   (				__lowerCAmelCase			,		__lowerCAmelCase			,		__lowerCAmelCase			,		)->  list[float | int]:





						"""simple docstring"""



						if not all((nth_term, start_term_a, common_ratio_r)     ):
												return []
						_UpperCAmelCase     =      []
						_UpperCAmelCase     =      1
						_UpperCAmelCase     =      common_ratio_r
						for _ in range(int(__lowerCAmelCase     )     ):
												if not series:
																		series.append(__lowerCAmelCase     )
												else:
																		power += 1
																		series.append(float(start_term_a * multiple     )     )
																		_UpperCAmelCase     =      pow(float(__lowerCAmelCase     )			,		__lowerCAmelCase     )
						return series


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		_a				     =  float(input('''Enter the last number (n term) of the Geometric Series'''))
		_a				     =  float(input('''Enter the starting term (a) of the Geometric Series'''))
		_a				     =  float(
		    input('''Enter the common ratio between two terms (r) of the Geometric Series''')
		)
		print('''Formula of Geometric Series => a + ar + ar^2 ... +ar^n''')
		print(geometric_series(nth_term, start_term_a, common_ratio_r))








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):





	"""simple docstring"""






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







							_UpperCAmelCase     =      'runwayml/stable-diffusion-v1-5'
							_UpperCAmelCase     =      TextToVideoZeroPipeline.from_pretrained(UpperCAmelCase	,   torch_dtype=torch.floataa   ).to('cuda'   )
							_UpperCAmelCase     =      DDIMScheduler.from_config(pipe.scheduler.config   )
							_UpperCAmelCase     =      torch.Generator(device='cuda'   ).manual_seed(0   )

							_UpperCAmelCase     =      'A bear is playing a guitar on Times Square'
							_UpperCAmelCase     =      pipe(prompt=UpperCAmelCase	,   generator=UpperCAmelCase   ).images

							_UpperCAmelCase     =      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(UpperCAmelCase	,   UpperCAmelCase   )
