




"""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


A_						=				logging.get_logger(__name__)






class 					lowercase(     UpperCAmelCase_ ):







 '''simple docstring'''





 def __init__(				self:		List[str],      a_:		Union[List[ControlNetModel], Tuple[ControlNetModel]]		):




   '''simple docstring'''



   super().__init__()
   _snake_case							:		Dict								=  nn.ModuleList(__UpperCAmelCase		)


 def  UpperCamelCase_   (				self:		int,      a_:		torch.FloatTensor,      a_:		Union[torch.Tensor, float, int],      a_:		torch.Tensor,      a_:		List[torch.tensor],      a_:		List[float],      a_:		Optional[torch.Tensor] = None,      a_:		Optional[torch.Tensor] = None,      a_:		Optional[torch.Tensor] = None,      a_:		Optional[Dict[str, Any]] = None,      a_:		bool = False,      a_:		bool = True,      ):




   '''simple docstring'''



   for i, (image, scale, controlnet) in enumerate(zip(__UpperCAmelCase,      __UpperCAmelCase,      self.nets		)		):
     _snake_case		,					_snake_case							:		Dict								=  controlnet(
         __UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase,      )

     # merge samples
     if i == 0:
       _snake_case		,					_snake_case							:		List[str]								=  down_samples, mid_sample
     else:
       _snake_case							:		str								=  [
           samples_prev + samples_curr
           for samples_prev, samples_curr in zip(__UpperCAmelCase,      __UpperCAmelCase		)
       ]
       mid_block_res_sample += mid_sample

   return down_block_res_samples, mid_block_res_sample


 def  UpperCamelCase_   (				self:		Optional[Any],      a_:		Union[str, os.PathLike],      a_:		bool = True,      a_:		Callable = None,      a_:		bool = False,      a_:		Optional[str] = None,      ):




   '''simple docstring'''



   _snake_case							:		str								=  0
   _snake_case							:		int								=  save_directory
   for controlnet in self.nets:
     controlnet.save_pretrained(
         __UpperCAmelCase,      is_main_process=__UpperCAmelCase,      save_function=__UpperCAmelCase,      safe_serialization=__UpperCAmelCase,      variant=__UpperCAmelCase,      )

     idx += 1
     _snake_case							:		Any								=  model_path_to_save + f"_{idx}"


 @classmethod
 def  UpperCamelCase_   (				cls:		Dict,      a_:		Optional[Union[str, os.PathLike]],      **a_:		List[str]		):




   '''simple docstring'''



   _snake_case							:		Union[str, Any]								=  0
   _snake_case							:		Dict								=  []

   # 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							:		Dict								=  pretrained_model_path
   while os.path.isdir(__UpperCAmelCase		):
     _snake_case							:		Optional[int]								=  ControlNetModel.from_pretrained(__UpperCAmelCase,      **__UpperCAmelCase		)
     controlnets.append(__UpperCAmelCase		)

     idx += 1
     _snake_case							:		str								=  pretrained_model_path + f"_{idx}"

   logger.info(f"{len(__UpperCAmelCase		)} controlnets loaded from {pretrained_model_path}."		)

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

   return cls(__UpperCAmelCase		)



import math




def    lowerCAmelCase_ (     __A							)     ->				bool:







      '''simple docstring'''


      return math.sqrt(__A							) * math.sqrt(__A							) == num




def    lowerCAmelCase_ (     __A							)     ->				bool:







      '''simple docstring'''


      UpperCAmelCase__								=  0
      UpperCAmelCase__								=  n
      while left <= right:
            UpperCAmelCase__								=  (left + right) // 2
            if mid**2 == n:
                  return True
            elif mid**2 > n:
                  UpperCAmelCase__								=  mid - 1
            else:
                  UpperCAmelCase__								=  mid + 1
      return False


if __name__ == "__main__":
      import doctest

      doctest.testmod()



