'''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


SCREAMING_SNAKE_CASE_:     Any  =logging.get_logger(__name__)




class        __A      ( UpperCamelCase__	):



    def __init__(self    :    Tuple   ,			__a    :    Union[List[ControlNetModel], Tuple[ControlNetModel]] ):
         super().__init__()
         UpperCAmelCase_           =   nn.ModuleList(__a )



    def 					_lowercase						(self    :    Tuple   ,			__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 ) ):
              UpperCAmelCase_    , UpperCAmelCase_           =   controlnet(
                  __a   ,			__a   ,			__a   ,			__a   ,			__a   ,			__a   ,			__a   ,			__a   ,			__a   ,			__a   ,			__a   ,			)

              # merge samples
              if i == 0:
                   UpperCAmelCase_    , UpperCAmelCase_           =   down_samples, mid_sample
              else:
                   UpperCAmelCase_           =   [
                       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 					_lowercase						(self    :    List[str]   ,			__a    :    Union[str, os.PathLike]   ,			__a    :    bool = True   ,			__a    :    Callable = None   ,			__a    :    bool = False   ,			__a    :    Optional[str] = None   ,			):
         UpperCAmelCase_           =   0
         UpperCAmelCase_           =   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
              UpperCAmelCase_           =   model_path_to_save + f"""_{idx}"""






    @classmethod
    def 					_lowercase						(cls    :    Tuple   ,			__a    :    Optional[Union[str, os.PathLike]]   ,			**__a    :    List[Any] ):
         UpperCAmelCase_           =   0
         UpperCAmelCase_           =   []

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

              idx += 1
              UpperCAmelCase_           =   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"""




def        lowercase							(		lowerCAmelCase__ :     int    ,					lowerCAmelCase__ :     list			) ->      List[Any]:
		_enforce_args(lowerCAmelCase__    ,					lowerCAmelCase__			)
		if n == 0:
				return 0
		__a           =			float('''-inf'''			)
		for i in range(1    ,					n + 1			):
				__a           =			max(
				    lowerCAmelCase__    ,					prices[i - 1] + naive_cut_rod_recursive(n - i    ,					lowerCAmelCase__			)			)

		return max_revue

def        lowercase							(		lowerCAmelCase__ :     int    ,					lowerCAmelCase__ :     list			) ->      List[str]:
		_enforce_args(lowerCAmelCase__    ,					lowerCAmelCase__			)
		__a           =			[float('''-inf'''			) for _ in range(n + 1			)]
		return _top_down_cut_rod_recursive(lowerCAmelCase__    ,					lowerCAmelCase__    ,					lowerCAmelCase__			)

def        lowercase							(		lowerCAmelCase__ :     int    ,					lowerCAmelCase__ :     list    ,					lowerCAmelCase__ :     list			) ->      Union[str, Any]:
		if max_rev[n] >= 0:
				return max_rev[n]
		elif n == 0:
				return 0
		else:
				__a           =			float('''-inf'''			)
				for i in range(1    ,					n + 1			):
						__a           =			max(
						    lowerCAmelCase__    ,					prices[i - 1] + _top_down_cut_rod_recursive(n - i    ,					lowerCAmelCase__    ,					lowerCAmelCase__			)    ,					)

				__a           =			max_revenue

		return max_rev[n]

def        lowercase							(		lowerCAmelCase__ :     int    ,					lowerCAmelCase__ :     list			) ->      Dict:
		_enforce_args(lowerCAmelCase__    ,					lowerCAmelCase__			)

		# length(max_rev) = n + 1, to accommodate for the revenue obtainable from a rod of
		# length 0.
		__a           =			[float('''-inf'''			) for _ in range(n + 1			)]
		__a           =			0

		for i in range(1    ,					n + 1			):
				__a           =			max_rev[i]
				for j in range(1    ,					i + 1			):
						__a           =			max(lowerCAmelCase__    ,					prices[j - 1] + max_rev[i - j]			)

				__a           =			max_revenue_i

		return max_rev[n]

def        lowercase							(		lowerCAmelCase__ :     int    ,					lowerCAmelCase__ :     list			) ->      str:
		if n < 0:
				__a           =			f'''n must be greater than or equal to 0. Got n = {n}'''
				raise ValueError(lowerCAmelCase__			)

		if n > len(lowerCAmelCase__			):
				__a           =			(
				    '''Each integral piece of rod must have a corresponding price. '''
				    f'''Got n = {n} but length of prices = {len(lowerCAmelCase__			)}'''
				)
				raise ValueError(lowerCAmelCase__			)

def        lowercase							(		) ->      int:
		__a           =			[6, 10, 12, 15, 20, 23]
		__a           =			len(lowerCAmelCase__			)

		# the best revenue comes from cutting the rod into 6 pieces, each
		# of length 1 resulting in a revenue of 6 * 6 = 36.
		__a           =			36

		__a           =			top_down_cut_rod(lowerCAmelCase__    ,					lowerCAmelCase__			)
		__a           =			bottom_up_cut_rod(lowerCAmelCase__    ,					lowerCAmelCase__			)
		__a           =			naive_cut_rod_recursive(lowerCAmelCase__    ,					lowerCAmelCase__			)

		assert expected_max_revenue == max_rev_top_down
		assert max_rev_top_down == max_rev_bottom_up
		assert max_rev_bottom_up == max_rev_naive


if __name__ == "__main__":
				main()






