




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


UpperCamelCase__    			=			logging.get_logger(__name__)
class 			a__    (					snake_case__      ):






						def __init__(   self		,			_A			):




											"""simple docstring"""



											super().__init__()
											__lowerCAmelCase				   =       nn.ModuleList(_A			)






						def 				__SCREAMING_SNAKE_CASE(   self		,			_A		,			_A		,			_A		,			_A		,			_A		,			_A = None		,			_A = None		,			_A = None		,			_A = None		,			_A = False		,			_A = True		,			):




											"""simple docstring"""



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

																# merge samples
																if i == 0:
																					__lowerCAmelCase   ,							__lowerCAmelCase				   =       down_samples, mid_sample
																else:
																					__lowerCAmelCase				   =       [
																					    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 				__SCREAMING_SNAKE_CASE(   self		,			_A		,			_A = True		,			_A = None		,			_A = False		,			_A = None		,			):




											"""simple docstring"""



											__lowerCAmelCase				   =       0
											__lowerCAmelCase				   =       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
																__lowerCAmelCase				   =       model_path_to_save + f"""_{idx}"""






						@classmethod
						def 				__SCREAMING_SNAKE_CASE(   cls		,			_A		,			**_A			):




											"""simple docstring"""



											__lowerCAmelCase				   =       0
											__lowerCAmelCase				   =       []

											# 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`, ...
											__lowerCAmelCase				   =       pretrained_model_path
											while os.path.isdir(_A			):
																__lowerCAmelCase				   =       ControlNetModel.from_pretrained(_A		,			**_A			)
																controlnets.append(_A			)

																idx += 1
																__lowerCAmelCase				   =       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			)






"""simple docstring"""





from __future__ import annotations



def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case	)							->		int | float:


					"""simple docstring"""





					if len(__snake_case	) == 0:
										raise ValueError('''find_max() arg is an empty sequence'''	)
					if (
					    left >= len(__snake_case	)
					    or left < -len(__snake_case	)
					    or right >= len(__snake_case	)
					    or right < -len(__snake_case	)
					):
										raise IndexError('''list index out of range'''	)
					if left == right:
										return nums[left]
					_UpperCamelCase							 =  (left + right) >> 1  # the middle
					_UpperCamelCase							 =  find_max(__snake_case,     __snake_case,     __snake_case	)  # find max in range[left, mid]
					_UpperCamelCase							 =  find_max(__snake_case,     mid + 1,     __snake_case	)  # find max in range[mid + 1, right]

					return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
				import doctest

				doctest.testmod(verbose=True)






