




'''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


UpperCAmelCase_							:	List[Any]	     =		logging.get_logger(__name__)





class      lowerCAmelCase (			lowerCAmelCase__):


       def __init__( self     ,	__SCREAMING_SNAKE_CASE	)   ->	List[str]:



            '''simple docstring'''




            super().__init__()
            __snake_case            =	nn.ModuleList(__a	)


       def    lowerCAmelCase   ( self     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE = None     ,	__SCREAMING_SNAKE_CASE = None     ,	__SCREAMING_SNAKE_CASE = None     ,	__SCREAMING_SNAKE_CASE = None     ,	__SCREAMING_SNAKE_CASE = False     ,	__SCREAMING_SNAKE_CASE = True     ,	)   ->	Any:



            '''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     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE = True     ,	__SCREAMING_SNAKE_CASE = None     ,	__SCREAMING_SNAKE_CASE = False     ,	__SCREAMING_SNAKE_CASE = None     ,	)   ->	List[str]:



            '''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     ,	__SCREAMING_SNAKE_CASE     ,	**__SCREAMING_SNAKE_CASE	)   ->	int:



            '''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	)










"""simple docstring"""


import baseaa


def _lowerCamelCase      (						_UpperCamelCase ):

			'''simple docstring'''




			return baseaa.baaencode(string.encode("utf-8" ) )


def _lowerCamelCase      (						_UpperCamelCase ):

			'''simple docstring'''




			return baseaa.baadecode(_UpperCamelCase ).decode("utf-8" )


if __name__ == "__main__":
	A	:  List[str]            =     "Hello World!"
	A	:  Any            =     baseaa_encode(test)
	print(encoded)

	A	:  List[Any]            =     baseaa_decode(encoded)
	print(decoded)




