


from __future__ import annotations


def 			UpperCAmelCase_				(      UpperCAmelCase__						,							UpperCAmelCase__  ):
					if nth_term == "":
										return [""]
					lowercase_  							=			int(UpperCAmelCase__  )
					lowercase_  							=			int(UpperCAmelCase__  )
					lowercase_  							=			[]
					for temp in range(int(UpperCAmelCase__  )  ):
										series.append(F'''1 / {pow(temp + 1						,							int(UpperCAmelCase__  )  )}''' if series else """1"""  )
					return series


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							a					  =     int(input('Enter the last number (nth term) of the P-Series'))
							a					  =     int(input('Enter the power for  P-Series'))
							print('Formula of P-Series => 1+1/2^p+1/3^p ..... 1/n^p')
							print(p_series(nth_term, power))






from ...utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_torch_available,
    is_transformers_available,
)


try:
							if not (is_transformers_available() and is_torch_available()):
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
							from .multicontrolnet import MultiControlNetModel
							from .pipeline_controlnet import StableDiffusionControlNetPipeline
							from .pipeline_controlnet_imgaimg import StableDiffusionControlNetImgaImgPipeline
							from .pipeline_controlnet_inpaint import StableDiffusionControlNetInpaintPipeline


if is_transformers_available() and is_flax_available():
							from .pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline


