

'''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		:   Optional[int]			,				a__		:   Union[List[ControlNetModel], Tuple[ControlNetModel]]      ):
      super().__init__()
      __magic_name__						       =    nn.ModuleList(a__      )



 def 			snake_case__  (   self		:   Union[str, Any]			,				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			,				):
      for i, (image, scale, controlnet) in enumerate(zip(a__			,				a__			,				self.nets      )      ):
           __magic_name__       ,  __magic_name__						       =    controlnet(
               a__			,				a__			,				a__			,				a__			,				a__			,				a__			,				a__			,				a__			,				a__			,				a__			,				a__			,				)

           # merge samples
           if i == 0:
                __magic_name__       ,  __magic_name__						       =    down_samples, mid_sample
           else:
                __magic_name__						       =    [
                    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 			snake_case__  (   self		:   List[str]			,				a__		:   Union[str, os.PathLike]			,				a__		:   bool = True			,				a__		:   Callable = None			,				a__		:   bool = False			,				a__		:   Optional[str] = None			,				):
      __magic_name__						       =    0
      __magic_name__						       =    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
           __magic_name__						       =    model_path_to_save + F'''_{idx}'''



 @classmethod
 def 			snake_case__  (   cls		:   Optional[int]			,				a__		:   Optional[Union[str, os.PathLike]]			,				**a__		:   List[Any]      ):
      __magic_name__						       =    0
      __magic_name__						       =    []

      # 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`, ...
      __magic_name__						       =    pretrained_model_path
      while os.path.isdir(a__      ):
           __magic_name__						       =    ControlNetModel.from_pretrained(a__			,				**a__      )
           controlnets.append(a__      )

           idx += 1
           __magic_name__						       =    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'''




from __future__ import annotations

from fractions import Fraction




def 						UpperCamelCase	(			a		,						a			)				->     bool:






     '''simple docstring'''
     return (
         num != den and num % 10 == den // 10 and (num // 10) / (den % 10) == num / den
     )




def 						UpperCamelCase	(			a			)				->     list[str]:






     '''simple docstring'''
     __magic_name__						       =    []
     __magic_name__						       =    11
     __magic_name__						       =    int('''1''' + '''0''' * digit_len			)
     for num in range(a		,						a			):
          while den <= 99:
               if (num != den) and (num % 10 == den // 10) and (den % 10 != 0):
                    if is_digit_cancelling(a		,						a			):
                         solutions.append(F'''{num}/{den}'''			)
               den += 1
          num += 1
          __magic_name__						       =    10
     return solutions




def 						UpperCamelCase	(			a = 2			)				->     int:






     '''simple docstring'''
     __magic_name__						       =    1.0
     for fraction in fraction_list(a			):
          __magic_name__						       =    Fraction(a			)
          result *= frac.denominator / frac.numerator
     return int(a			)


if __name__ == "__main__":
      print(solution())






