





"""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


lowerCamelCase_       =		logging.get_logger(__name__)






class  _SCREAMING_SNAKE_CASE(       A  ):




       def __init__(						self		,SCREAMING_SNAKE_CASE__							)      ->				str:





             """simple docstring"""






             super().__init__()
             __SCREAMING_SNAKE_CASE       :Dict		    =  nn.ModuleList(SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						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		,)      ->				Union[ControlNetOutput, Tuple]:





             """simple docstring"""






             for i, (image, scale, controlnet) in enumerate(zip(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,self.nets							)							):
                   __SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE       :List[str]		    =  controlnet(
                       SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,)

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

             return down_block_res_samples, mid_block_res_sample




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__ = True		,SCREAMING_SNAKE_CASE__ = None		,SCREAMING_SNAKE_CASE__ = False		,SCREAMING_SNAKE_CASE__ = None		,)      ->				str:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :List[Any]		    =  0
             __SCREAMING_SNAKE_CASE       :List[Any]		    =  save_directory
             for controlnet in self.nets:
                   controlnet.save_pretrained(
                       SCREAMING_SNAKE_CASE__		,is_main_process=SCREAMING_SNAKE_CASE__		,save_function=SCREAMING_SNAKE_CASE__		,safe_serialization=SCREAMING_SNAKE_CASE__		,variant=SCREAMING_SNAKE_CASE__		,)

                   idx += 1
                   __SCREAMING_SNAKE_CASE       :Dict		    =  model_path_to_save + f'''_{idx}'''




       @classmethod
       def    _UpperCamelCase					(						cls		,SCREAMING_SNAKE_CASE__		,**SCREAMING_SNAKE_CASE__							)      ->				int:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :List[Any]		    =  0
             __SCREAMING_SNAKE_CASE       :str		    =  []

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

                   idx += 1
                   __SCREAMING_SNAKE_CASE       :Optional[int]		    =  pretrained_model_path + f'''_{idx}'''

             logger.info(f'''{len(SCREAMING_SNAKE_CASE__							)} controlnets loaded from {pretrained_model_path}.'''							)

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

             return cls(SCREAMING_SNAKE_CASE__							)






"""simple docstring"""
def 					__lowerCamelCase       (							a_					:		str			,       a_					:		str							)      ->				str:
      __SCREAMING_SNAKE_CASE       :int		    =  len(a_							)
      __SCREAMING_SNAKE_CASE       :int		    =  len(a_							)
      __SCREAMING_SNAKE_CASE       :int		    =  (
          first_str_length if first_str_length > second_str_length else second_str_length
      )
      __SCREAMING_SNAKE_CASE       :list		    =  []
      for char_count in range(a_							):
            if char_count < first_str_length:
                  output_list.append(first_str[char_count]							)
            if char_count < second_str_length:
                  output_list.append(second_str[char_count]							)
      return "".join(a_							)


if __name__ == "__main__":
  print(alternative_string_arrange("AB", "XYZ"), end=" ")