





'''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 :					List[Any] 							=logging.get_logger(__name__)
class 				a_       (    _lowerCAmelCase							):





     def __init__(			self		: Optional[Any]     ,				lowercase		: Union[List[ControlNetModel], Tuple[ControlNetModel]]						):





        """simple docstring"""




        super().__init__()
        lowercase_      :Dict         =			nn.ModuleList(lowercase						)





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





        """simple docstring"""




        for i, (image, scale, controlnet) in enumerate(zip(lowercase     ,				lowercase     ,				self.nets						)						):
           lowercase_      ,							lowercase_      :Optional[Any]         =			controlnet(
               lowercase     ,				lowercase     ,				lowercase     ,				lowercase     ,				lowercase     ,				lowercase     ,				lowercase     ,				lowercase     ,				lowercase     ,				lowercase     ,				lowercase     ,				)

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

        return down_block_res_samples, mid_block_res_sample





     def 							lowercase__				(			self		: int     ,				lowercase		: Union[str, os.PathLike]     ,				lowercase		: bool = True     ,				lowercase		: Callable = None     ,				lowercase		: bool = False     ,				lowercase		: Optional[str] = None     ,				):





        """simple docstring"""




        lowercase_      :Optional[Any]         =			0
        lowercase_      :str         =			save_directory
        for controlnet in self.nets:
           controlnet.save_pretrained(
               lowercase     ,				is_main_process=lowercase     ,				save_function=lowercase     ,				safe_serialization=lowercase     ,				variant=lowercase     ,				)

           idx += 1
           lowercase_      :Optional[Any]         =			model_path_to_save + F'_{idx}'







     @classmethod
     def 							lowercase__				(			cls		: Union[str, Any]     ,				lowercase		: Optional[Union[str, os.PathLike]]     ,				**lowercase		: Tuple						):





        """simple docstring"""




        lowercase_      :List[str]         =			0
        lowercase_      :Optional[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`, ...
        lowercase_      :Optional[Any]         =			pretrained_model_path
        while os.path.isdir(lowercase						):
           lowercase_      :Optional[int]         =			ControlNetModel.from_pretrained(lowercase     ,				**lowercase						)
           controlnets.append(lowercase						)

           idx += 1
           lowercase_      :List[Any]         =			pretrained_model_path + F'_{idx}'

        logger.info(F'{len(lowercase						)} controlnets loaded from {pretrained_model_path}.'						)

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

        return cls(lowercase						)









'''simple docstring'''


from __future__ import annotations

lowerCAmelCase :					Any 							={
    '''A''': ['''B''', '''C''', '''E'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F''', '''G'''],
    '''D''': ['''B'''],
    '''E''': ['''A''', '''B''', '''D'''],
    '''F''': ['''C'''],
    '''G''': ['''C'''],
}
class 				a_       :





     def __init__(			self		: List[Any]     ,				lowercase		: dict[str, list[str]]     ,				lowercase		: str						):





        """simple docstring"""




        lowercase_      :List[str]         =			graph
        # mapping node to its parent in resulting breadth first tree
        lowercase_      :dict[str, str | None]         =			{}
        lowercase_      :Dict         =			source_vertex





     def 							lowercase__				(			self		: Tuple						):





        """simple docstring"""




        lowercase_      :Union[str, Any]         =			{self.source_vertex}
        lowercase_      :Tuple         =			None
        lowercase_      :Dict         =			[self.source_vertex]  # first in first out queue

        while queue:
           lowercase_      :int         =			queue.pop(0						)
           for adjacent_vertex in self.graph[vertex]:
              if adjacent_vertex not in visited:
                 visited.add(lowercase						)
                 lowercase_      :Optional[Any]         =			vertex
                 queue.append(lowercase						)







     def 							lowercase__				(			self		: Tuple     ,				lowercase		: str						):





        """simple docstring"""




        if target_vertex == self.source_vertex:
           return self.source_vertex

        lowercase_      :List[str]         =			self.parent.get(lowercase						)
        if target_vertex_parent is None:
           lowercase_      :Union[str, Any]         =			(
               F'No path from vertex: {self.source_vertex} to vertex: {target_vertex}'
           )
           raise ValueError(lowercase						)

        return self.shortest_path(lowercase						) + F'->{target_vertex}'


if __name__ == "__main__":
 lowerCAmelCase :					Dict 							=Graph(graph, '''G''')
 g.breath_first_search()
 print(g.shortest_path('''D'''))
 print(g.shortest_path('''G'''))
 print(g.shortest_path('''Foo'''))


