





'''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


snake_case_     :       Optional[Any]						=  logging.get_logger(__name__)


class 					__a      (lowerCamelCase     ):

							def __init__(							self							:     Optional[int]       ,     __magic_name__							:     Union[List[ControlNetModel], Tuple[ControlNetModel]]   )					->       str:







													"""simple docstring"""
													super().__init__()
													UpperCAmelCase_			:      Dict     						=  nn.ModuleList(__magic_name__   )

							def     UpperCAmelCase__	(							self							:     Optional[Any]       ,     __magic_name__							:     torch.FloatTensor       ,     __magic_name__							:     Union[torch.Tensor, float, int]       ,     __magic_name__							:     torch.Tensor       ,     __magic_name__							:     List[torch.tensor]       ,     __magic_name__							:     List[float]       ,     __magic_name__							:     Optional[torch.Tensor] = None       ,     __magic_name__							:     Optional[torch.Tensor] = None       ,     __magic_name__							:     Optional[torch.Tensor] = None       ,     __magic_name__							:     Optional[Dict[str, Any]] = None       ,     __magic_name__							:     bool = False       ,     __magic_name__							:     bool = True       ,     )					->       Union[ControlNetOutput, Tuple]:







													"""simple docstring"""
													for i, (image, scale, controlnet) in enumerate(zip(__magic_name__       ,     __magic_name__       ,     self.nets   )   ):
																			UpperCAmelCase_						,       UpperCAmelCase_			:      List[str]     						=  controlnet(
																			    __magic_name__       ,     __magic_name__       ,     __magic_name__       ,     __magic_name__       ,     __magic_name__       ,     __magic_name__       ,     __magic_name__       ,     __magic_name__       ,     __magic_name__       ,     __magic_name__       ,     __magic_name__       ,     )

																			# merge samples
																			if i == 0:
																									UpperCAmelCase_						,       UpperCAmelCase_			:      Any     						=  down_samples, mid_sample
																			else:
																									UpperCAmelCase_			:      Optional[int]     						=  [
																									    samples_prev + samples_curr
																									    for samples_prev, samples_curr in zip(__magic_name__       ,     __magic_name__   )
																									]
																									mid_block_res_sample += mid_sample

													return down_block_res_samples, mid_block_res_sample

							def     UpperCAmelCase__	(							self							:     int       ,     __magic_name__							:     Union[str, os.PathLike]       ,     __magic_name__							:     bool = True       ,     __magic_name__							:     Callable = None       ,     __magic_name__							:     bool = False       ,     __magic_name__							:     Optional[str] = None       ,     )					->       Optional[int]:







													"""simple docstring"""
													UpperCAmelCase_			:      Union[str, Any]     						=  0
													UpperCAmelCase_			:      List[str]     						=  save_directory
													for controlnet in self.nets:
																			controlnet.save_pretrained(
																			    __magic_name__       ,     is_main_process=__magic_name__       ,     save_function=__magic_name__       ,     safe_serialization=__magic_name__       ,     variant=__magic_name__       ,     )

																			idx += 1
																			UpperCAmelCase_			:      List[Any]     						=  model_path_to_save + F"""_{idx}"""



							@classmethod
							def     UpperCAmelCase__	(							cls							:     Dict       ,     __magic_name__							:     Optional[Union[str, os.PathLike]]       ,     **__magic_name__							:     Dict   )					->       Union[str, Any]:







													"""simple docstring"""
													UpperCAmelCase_			:      Dict     						=  0
													UpperCAmelCase_			:      int     						=  []

													# 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`, ...
													UpperCAmelCase_			:      int     						=  pretrained_model_path
													while os.path.isdir(__magic_name__   ):
																			UpperCAmelCase_			:      Optional[int]     						=  ControlNetModel.from_pretrained(__magic_name__       ,     **__magic_name__   )
																			controlnets.append(__magic_name__   )

																			idx += 1
																			UpperCAmelCase_			:      Union[str, Any]     						=  pretrained_model_path + F"""_{idx}"""

													logger.info(F"""{len(__magic_name__   )} controlnets loaded from {pretrained_model_path}."""   )

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

													return cls(__magic_name__   )












'''simple docstring'''







def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			int   ) ->	str:
						if number > 0:
												raise ValueError('''input must be a negative integer'''   )
						UpperCAmelCase_			:      Union[str, Any]     						=  len(bin(SCREAMING_SNAKE_CASE__   )[3:]   )
						UpperCAmelCase_			:      Union[str, Any]     						=  bin(abs(SCREAMING_SNAKE_CASE__   ) - (1 << binary_number_length)   )[3:]
						UpperCAmelCase_			:      Optional[Any]     						=  (
						    (
						        '''1'''
						        + '''0''' * (binary_number_length - len(SCREAMING_SNAKE_CASE__   ))
						        + twos_complement_number
						    )
						    if number < 0
						    else '''0'''
						)
						return "0b" + twos_complement_number


if __name__ == "__main__":
					import doctest

					doctest.testmod()





