




'''simple docstring'''





import os
from typing import Any, Callable, Dict, List, Optional, Tuple, Union

import torch
from torch import nn

from ...models.controlnet import ControlNetModel, ControlNetOutput
from ...models.modeling_utils import ModelMixin
from ...utils import logging


_SCREAMING_SNAKE_CASE				:  Union[str, Any] 						=					logging.get_logger(__name__)




class 					_snake_case						(      SCREAMING_SNAKE_CASE__				):




			def __init__(   self							,				a__				)							->							Union[str, Any]:

										'''simple docstring'''




										super().__init__()
										snake_case_         = nn.ModuleList(a__				)




			def   lowerCAmelCase__							(   self							,				a__							,				a__							,				a__							,				a__							,				a__							,				a__ = None							,				a__ = None							,				a__ = None							,				a__ = None							,				a__ = False							,				a__ = True							,				)							->							Union[ControlNetOutput, Tuple]:

										'''simple docstring'''




										for i, (image, scale, controlnet) in enumerate(zip(a__							,				a__							,				self.nets				)				):
																	snake_case_   , snake_case_         = controlnet(
																	    a__							,				a__							,				a__							,				a__							,				a__							,				a__							,				a__							,				a__							,				a__							,				a__							,				a__							,				)

																	# merge samples
																	if i == 0:
																								snake_case_   , snake_case_         = down_samples, mid_sample
																	else:
																								snake_case_         = [
																								    samples_prev + samples_curr
																								    for samples_prev, samples_curr in zip(a__							,				a__				)
																								]
																								mid_block_res_sample += mid_sample

										return down_block_res_samples, mid_block_res_sample




			def   lowerCAmelCase__							(   self							,				a__							,				a__ = True							,				a__ = None							,				a__ = False							,				a__ = None							,				)							->							int:

										'''simple docstring'''




										snake_case_         = 0
										snake_case_         = save_directory
										for controlnet in self.nets:
																	controlnet.save_pretrained(
																	    a__							,				is_main_process=a__							,				save_function=a__							,				safe_serialization=a__							,				variant=a__							,				)

																	idx += 1
																	snake_case_         = model_path_to_save + F'_{idx}'




			@classmethod
			def   lowerCAmelCase__							(   cls							,				a__							,				**a__				)							->							Tuple:

										'''simple docstring'''




										snake_case_         = 0
										snake_case_         = []

										# load controlnet and append to list until no controlnet directory exists anymore
										# first controlnet has to be saved under `./mydirectory/controlnet` to be compliant with `DiffusionPipeline.from_prertained`
										# second, third, ... controlnets have to be saved under `./mydirectory/controlnet_1`, `./mydirectory/controlnet_2`, ...
										snake_case_         = pretrained_model_path
										while os.path.isdir(a__				):
																	snake_case_         = ControlNetModel.from_pretrained(a__							,				**a__				)
																	controlnets.append(a__				)

																	idx += 1
																	snake_case_         = pretrained_model_path + F'_{idx}'

										logger.info(F'{len(a__				)} controlnets loaded from {pretrained_model_path}.'				)

										if len(a__				) == 0:
																	raise ValueError(
																	    F'No ControlNets found under {os.path.dirname(a__				)}. Expected at least {pretrained_model_path + "_0"}.'				)

										return cls(a__				)










def lowercase    (  SCREAMING_SNAKE_CASE )			->							str:


			'''simple docstring'''







			SCREAMING_SNAKE_CASE_								=						len(SCREAMING_SNAKE_CASE )
			while cur > 1:
						# Find the maximum number in arr
						SCREAMING_SNAKE_CASE_								=						arr.index(max(arr[0:cur] ) )
						# Reverse from 0 to mi
						SCREAMING_SNAKE_CASE_								=						arr[mi::-1] + arr[mi + 1 : len(SCREAMING_SNAKE_CASE )]
						# Reverse whole list
						SCREAMING_SNAKE_CASE_								=						arr[cur - 1 :: -1] + arr[cur : len(SCREAMING_SNAKE_CASE )]
						cur -= 1
			return arr


if __name__ == "__main__":
				SCREAMING_SNAKE_CASE__     :     List[str]		    =       input("Enter numbers separated by a comma:\n").strip()
				SCREAMING_SNAKE_CASE__     :     Optional[int]		    =       [int(item) for item in user_input.split(",")]
				print(pancake_sort(unsorted))
