



from __future__ import annotations

import time
from collections.abc import Sequence
from random import randint

from matplotlib import pyplot as plt



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
			if not arr:
						return None, None, 0
			if low == high:
						return low, high, arr[low]

			lowercase__   					=			(low + high) // 2
			lowercase__					,    lowercase__					,    lowercase__   					=			max_subarray(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					)
			lowercase__					,    lowercase__					,    lowercase__   					=			max_subarray(SCREAMING_SNAKE_CASE_  ,					mid + 1  ,					SCREAMING_SNAKE_CASE_					)
			lowercase__					,    lowercase__					,    lowercase__   					=			max_cross_sum(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					)
			if left_sum >= right_sum and left_sum >= cross_sum:
						return left_low, left_high, left_sum
			elif right_sum >= left_sum and right_sum >= cross_sum:
						return right_low, right_high, right_sum
			return cross_left, cross_right, cross_sum



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
			lowercase__					,    lowercase__   					=			float("-inf"					), -1
			lowercase__					,    lowercase__   					=			float("-inf"					), -1

			lowercase__   					=			0
			for i in range(SCREAMING_SNAKE_CASE_  ,					low - 1  ,					-1					):
						summ += arr[i]
						if summ > left_sum:
									lowercase__   					=			summ
									lowercase__   					=			i

			lowercase__   					=			0
			for i in range(mid + 1  ,					high + 1					):
						summ += arr[i]
						if summ > right_sum:
									lowercase__   					=			summ
									lowercase__   					=			i

			return max_left, max_right, (left_sum + right_sum)



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			lowercase__   					=			[randint(1  ,					SCREAMING_SNAKE_CASE_					) for _ in range(SCREAMING_SNAKE_CASE_					)]
			lowercase__   					=			time.time()
			max_subarray(SCREAMING_SNAKE_CASE_  ,					0  ,					input_size - 1					)
			lowercase__   					=			time.time()
			return end - start



def __lowerCAmelCase	(       ):
			lowercase__   					=			[10, 100, 1000, 1_0000, 5_0000, 10_0000, 20_0000, 30_0000, 40_0000, 50_0000]
			lowercase__   					=			[time_max_subarray(SCREAMING_SNAKE_CASE_					) for input_size in input_sizes]
			print("No of Inputs\t\tTime Taken"					)
			for input_size, runtime in zip(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
						print(SCREAMING_SNAKE_CASE_  ,					"\t\t"  ,					SCREAMING_SNAKE_CASE_					)
			plt.plot(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					)
			plt.xlabel("Number of Inputs"					)
			plt.ylabel("Time taken in seconds"					)
			plt.show()


if __name__ == "__main__":
							from doctest import testmod

							testmod()









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


try:
							if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.25.0""")):
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							from ...utils.dummy_torch_and_transformers_objects import (
							    VersatileDiffusionDualGuidedPipeline,
							    VersatileDiffusionImageVariationPipeline,
							    VersatileDiffusionPipeline,
							    VersatileDiffusionTextToImagePipeline,
							)
else:
							from .modeling_text_unet import UNetFlatConditionModel
							from .pipeline_versatile_diffusion import VersatileDiffusionPipeline
							from .pipeline_versatile_diffusion_dual_guided import VersatileDiffusionDualGuidedPipeline
							from .pipeline_versatile_diffusion_image_variation import VersatileDiffusionImageVariationPipeline
							from .pipeline_versatile_diffusion_text_to_image import VersatileDiffusionTextToImagePipeline




