

"""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		     =    logging.get_logger(__name__)






class 			__a					(						__magic_name__       ):





       """simple docstring"""


       def __init__(   self			,					snake_case   ):





        """simple docstring"""

        super().__init__()
        lowerCAmelCase__   :				Any 			=				nn.ModuleList(snake_case   )






       def 			SCREAMING_SNAKE_CASE_	(   self			,					snake_case			,					snake_case			,					snake_case			,					snake_case			,					snake_case			,					snake_case = None			,					snake_case = None			,					snake_case = None			,					snake_case = None			,					snake_case = False			,					snake_case = True			,					):





        """simple docstring"""

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

         # merge samples
         if i == 0:
          lowerCAmelCase__			,						lowerCAmelCase__   :				Tuple 			=				down_samples, mid_sample
         else:
          lowerCAmelCase__   :				int 			=				[
              samples_prev + samples_curr
              for samples_prev, samples_curr in zip(snake_case			,					snake_case   )
          ]
          mid_block_res_sample += mid_sample

        return down_block_res_samples, mid_block_res_sample






       def 			SCREAMING_SNAKE_CASE_	(   self			,					snake_case			,					snake_case = True			,					snake_case = None			,					snake_case = False			,					snake_case = None			,					):





        """simple docstring"""

        lowerCAmelCase__   :				Any 			=				0
        lowerCAmelCase__   :				Tuple 			=				save_directory
        for controlnet in self.nets:
         controlnet.save_pretrained(
             snake_case			,					is_main_process=snake_case			,					save_function=snake_case			,					safe_serialization=snake_case			,					variant=snake_case			,					)

         idx += 1
         lowerCAmelCase__   :				Dict 			=				model_path_to_save + F"""_{idx}"""






       @classmethod
       def 			SCREAMING_SNAKE_CASE_	(   cls			,					snake_case			,					**snake_case   ):





        """simple docstring"""

        lowerCAmelCase__   :				Dict 			=				0
        lowerCAmelCase__   :				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`, ...
        lowerCAmelCase__   :				Optional[int] 			=				pretrained_model_path
        while os.path.isdir(snake_case   ):
         lowerCAmelCase__   :				Union[str, Any] 			=				ControlNetModel.from_pretrained(snake_case			,					**snake_case   )
         controlnets.append(snake_case   )

         idx += 1
         lowerCAmelCase__   :				Optional[Any] 			=				pretrained_model_path + F"""_{idx}"""

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

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

        return cls(snake_case   )









"""simple docstring"""

def       SCREAMING_SNAKE_CASE							( lowercase__   )			->						float:
 return 1_0 - x * x



def       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__   )			->						float:
 # Bolzano theory in order to find if there is a root between a and b
 if equation(lowercase__   ) * equation(lowercase__   ) >= 0:
  raise ValueError("Wrong space!"   )

 lowerCAmelCase__   :				Union[str, Any] 			=				a
 while (b - a) >= 0.01:
  # Find middle point
  lowerCAmelCase__   :				int 			=				(a + b) / 2
  # Check if middle point is root
  if equation(lowercase__   ) == 0.0:
   break
  # Decide the side to repeat the steps
  if equation(lowercase__   ) * equation(lowercase__   ) < 0:
   lowerCAmelCase__   :				str 			=				c
  else:
   lowerCAmelCase__   :				List[str] 			=				c
 return c


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    print(bisection(-2, 5))
    print(bisection(0, 6))






