






# Imports
import numpy as np



class   lowerCamelCase      :







		'''simple docstring'''



		def __init__(							self				,		_UpperCamelCase=None				,		_UpperCamelCase=None				,		_UpperCamelCase=None				,		_UpperCamelCase=None				,		_UpperCamelCase=None   )	->							Tuple:
							self.set_matricies(red=_UpperCamelCase				,		green=_UpperCamelCase				,		blue=_UpperCamelCase				,		red_edge=_UpperCamelCase				,		nir=_UpperCamelCase   )



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase=None				,		_UpperCamelCase=None				,		_UpperCamelCase=None				,		_UpperCamelCase=None				,		_UpperCamelCase=None   )	->							Dict:
							if red is not None:
												UpperCAmelCase_    :      int            =						red
							if green is not None:
												UpperCAmelCase_    :      Dict            =						green
							if blue is not None:
												UpperCAmelCase_    :      str            =						blue
							if red_edge is not None:
												UpperCAmelCase_    :      int            =						red_edge
							if nir is not None:
												UpperCAmelCase_    :      Tuple            =						nir
							return True



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase=""				,		_UpperCamelCase=None				,		_UpperCamelCase=None				,		_UpperCamelCase=None				,		_UpperCamelCase=None				,		_UpperCamelCase=None   )	->							List[Any]:
							self.set_matricies(red=_UpperCamelCase				,		green=_UpperCamelCase				,		blue=_UpperCamelCase				,		red_edge=_UpperCamelCase				,		nir=_UpperCamelCase   )
							UpperCAmelCase_    :      Optional[int]            =						{
							    'ARVI2': self.arvaa,
							    'CCCI': self.ccci,
							    'CVI': self.cvi,
							    'GLI': self.gli,
							    'NDVI': self.ndvi,
							    'BNDVI': self.bndvi,
							    'redEdgeNDVI': self.red_edge_ndvi,
							    'GNDVI': self.gndvi,
							    'GBNDVI': self.gbndvi,
							    'GRNDVI': self.grndvi,
							    'RBNDVI': self.rbndvi,
							    'PNDVI': self.pndvi,
							    'ATSAVI': self.atsavi,
							    'BWDRVI': self.bwdrvi,
							    'CIgreen': self.ci_green,
							    'CIrededge': self.ci_rededge,
							    'CI': self.ci,
							    'CTVI': self.ctvi,
							    'GDVI': self.gdvi,
							    'EVI': self.evi,
							    'GEMI': self.gemi,
							    'GOSAVI': self.gosavi,
							    'GSAVI': self.gsavi,
							    'Hue': self.hue,
							    'IVI': self.ivi,
							    'IPVI': self.ipvi,
							    'I': self.i,
							    'RVI': self.rvi,
							    'MRVI': self.mrvi,
							    'MSAVI': self.m_savi,
							    'NormG': self.norm_g,
							    'NormNIR': self.norm_nir,
							    'NormR': self.norm_r,
							    'NGRDI': self.ngrdi,
							    'RI': self.ri,
							    'S': self.s,
							    'IF': self._if,
							    'DVI': self.dvi,
							    'TVI': self.tvi,
							    'NDRE': self.ndre,
							}

							try:
												return funcs[index]()
							except KeyError:
												print('Index not in the list!'   )
												return False



		def 					__UpperCAmelCase			(							self   )	->							str:
							return -0.18 + (1.17 * ((self.nir - self.red) / (self.nir + self.red)))



		def 					__UpperCAmelCase			(							self   )	->							Tuple:
							return ((self.nir - self.redEdge) / (self.nir + self.redEdge)) / (
							    (self.nir - self.red) / (self.nir + self.red)
							)



		def 					__UpperCAmelCase			(							self   )	->							Union[str, Any]:
							return self.nir * (self.red / (self.green**2))



		def 					__UpperCAmelCase			(							self   )	->							Any:
							return (2 * self.green - self.red - self.blue) / (
							    2 * self.green + self.red + self.blue
							)



		def 					__UpperCAmelCase			(							self   )	->							Union[str, Any]:
							return (self.nir - self.red) / (self.nir + self.red)



		def 					__UpperCAmelCase			(							self   )	->							Union[str, Any]:
							return (self.nir - self.blue) / (self.nir + self.blue)



		def 					__UpperCAmelCase			(							self   )	->							List[str]:
							return (self.redEdge - self.red) / (self.redEdge + self.red)



		def 					__UpperCAmelCase			(							self   )	->							Optional[int]:
							return (self.nir - self.green) / (self.nir + self.green)



		def 					__UpperCAmelCase			(							self   )	->							Any:
							return (self.nir - (self.green + self.blue)) / (
							    self.nir + (self.green + self.blue)
							)



		def 					__UpperCAmelCase			(							self   )	->							Optional[Any]:
							return (self.nir - (self.green + self.red)) / (
							    self.nir + (self.green + self.red)
							)



		def 					__UpperCAmelCase			(							self   )	->							Tuple:
							return (self.nir - (self.blue + self.red)) / (self.nir + (self.blue + self.red))



		def 					__UpperCAmelCase			(							self   )	->							Optional[int]:
							return (self.nir - (self.green + self.red + self.blue)) / (
							    self.nir + (self.green + self.red + self.blue)
							)



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase=0.08				,		_UpperCamelCase=1.22				,		_UpperCamelCase=0.03   )	->							Tuple:
							return a * (
							    (self.nir - a * self.red - b)
							    / (a * self.nir + self.red - a * b + x * (1 + a**2))
							)



		def 					__UpperCAmelCase			(							self   )	->							List[Any]:
							return (0.1 * self.nir - self.blue) / (0.1 * self.nir + self.blue)



		def 					__UpperCAmelCase			(							self   )	->							Tuple:
							return (self.nir / self.green) - 1



		def 					__UpperCAmelCase			(							self   )	->							List[str]:
							return (self.nir / self.redEdge) - 1



		def 					__UpperCAmelCase			(							self   )	->							Any:
							return (self.red - self.blue) / self.red



		def 					__UpperCAmelCase			(							self   )	->							List[Any]:
							UpperCAmelCase_    :      str            =						self.ndvi()
							return ((ndvi + 0.5) / (abs(ndvi + 0.5   ))) * (abs(ndvi + 0.5   ) ** (1 / 2))



		def 					__UpperCAmelCase			(							self   )	->							Any:
							return self.nir - self.green



		def 					__UpperCAmelCase			(							self   )	->							Tuple:
							return 2.5 * (
							    (self.nir - self.red) / (self.nir + 6 * self.red - 7.5 * self.blue + 1)
							)



		def 					__UpperCAmelCase			(							self   )	->							Tuple:
							UpperCAmelCase_    :      List[Any]            =						(2 * (self.nir**2 - self.red**2) + 1.5 * self.nir + 0.5 * self.red) / (
							    self.nir + self.red + 0.5
							)
							return n * (1 - 0.25 * n) - (self.red - 0.1_25) / (1 - self.red)



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase=0.16   )	->							List[Any]:
							return (self.nir - self.green) / (self.nir + self.green + y)



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase=0.5   )	->							Union[str, Any]:
							return ((self.nir - self.green) / (self.nir + self.green + n)) * (1 + n)



		def 					__UpperCAmelCase			(							self   )	->							Any:
							return np.arctan(
							    ((2 * self.red - self.green - self.blue) / 30.5) * (self.green - self.blue)   )



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase=None				,		_UpperCamelCase=None   )	->							Dict:
							return (self.nir - b) / (a * self.red)



		def 					__UpperCAmelCase			(							self   )	->							Any:
							return (self.nir / ((self.nir + self.red) / 2)) * (self.ndvi() + 1)



		def 					__UpperCAmelCase			(							self   )	->							List[str]:
							return (self.red + self.green + self.blue) / 30.5



		def 					__UpperCAmelCase			(							self   )	->							Optional[int]:
							return self.nir / self.red



		def 					__UpperCAmelCase			(							self   )	->							Tuple:
							return (self.rvi() - 1) / (self.rvi() + 1)



		def 					__UpperCAmelCase			(							self   )	->							str:
							return (
							    (2 * self.nir + 1)
							    - ((2 * self.nir + 1) ** 2 - 8 * (self.nir - self.red)) ** (1 / 2)
							) / 2



		def 					__UpperCAmelCase			(							self   )	->							Optional[Any]:
							return self.green / (self.nir + self.red + self.green)



		def 					__UpperCAmelCase			(							self   )	->							List[Any]:
							return self.nir / (self.nir + self.red + self.green)



		def 					__UpperCAmelCase			(							self   )	->							str:
							return self.red / (self.nir + self.red + self.green)



		def 					__UpperCAmelCase			(							self   )	->							List[Any]:
							return (self.green - self.red) / (self.green + self.red)



		def 					__UpperCAmelCase			(							self   )	->							List[Any]:
							return (self.red - self.green) / (self.red + self.green)



		def 					__UpperCAmelCase			(							self   )	->							Union[str, Any]:
							UpperCAmelCase_    :      List[str]            =						np.max([np.max(self.red   ), np.max(self.green   ), np.max(self.blue   )]   )
							UpperCAmelCase_    :      List[str]            =						np.min([np.min(self.red   ), np.min(self.green   ), np.min(self.blue   )]   )
							return (max_value - min_value) / max_value



		def 					__UpperCAmelCase			(							self   )	->							List[str]:
							return (2 * self.red - self.green - self.blue) / (self.green - self.blue)



		def 					__UpperCAmelCase			(							self   )	->							str:
							return self.nir / self.red



		def 					__UpperCAmelCase			(							self   )	->							List[str]:
							return (self.ndvi() + 0.5) ** (1 / 2)



		def 					__UpperCAmelCase			(							self   )	->							str:
							return (self.nir - self.redEdge) / (self.nir + self.redEdge)







'''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       :     str     =  logging.get_logger(__name__)

class 	lowerCamelCase_	(snake_case__    ):
      '''simple docstring'''

      def __init__(       self						:				Optional[int]						,					A						:				Union[List[ControlNetModel], Tuple[ControlNetModel]]       ):
             super().__init__()
             _UpperCAmelCase     :  Optional[int]							      =    nn.ModuleList(A       )




      def      _A	(       self						:				Dict						,					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     :  str							      =    controlnet(
                        A						,					A						,					A						,					A						,					A						,					A						,					A						,					A						,					A						,					A						,					A						,					)

                    # merge samples
                    if i == 0:
                           _UpperCAmelCase      ,  _UpperCAmelCase     :  List[Any]							      =    down_samples, mid_sample
                    else:
                           _UpperCAmelCase     :  Optional[int]							      =    [
                               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      _A	(       self						:				List[str]						,					A						:				Union[str, os.PathLike]						,					A						:				bool = True						,					A						:				Callable = None						,					A						:				bool = False						,					A						:				Optional[str] = None						,					):
             _UpperCAmelCase     :  str							      =    0
             _UpperCAmelCase     :  str							      =    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     :  Tuple							      =    model_path_to_save + F"""_{idx}"""





      @classmethod
      def      _A	(       cls						:				int						,					A						:				Optional[Union[str, os.PathLike]]						,					**A						:				Tuple       ):
             _UpperCAmelCase     :  str							      =    0
             _UpperCAmelCase     :  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`, ...
             _UpperCAmelCase     :  int							      =    pretrained_model_path
             while os.path.isdir(A       ):
                    _UpperCAmelCase     :  List[str]							      =    ControlNetModel.from_pretrained(A						,					**A       )
                    controlnets.append(A       )

                    idx += 1
                    _UpperCAmelCase     :  Dict							      =    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       )

