





import numpy as np

class 	UpperCamelCase__				:






     def __init__(							self		:					Tuple		,lowerCamelCase__		:					int=None		,lowerCamelCase__		:					Any=None		,lowerCamelCase__		:					Optional[int]=None		,lowerCamelCase__		:					List[Any]=None		,lowerCamelCase__		:					Any=None )  ->	Union[str, Any]:




           '''simple docstring'''


           self.set_matricies(red=lowercase__		,green=lowercase__		,blue=lowercase__		,red_edge=lowercase__		,nir=lowercase__ )






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[int]		,lowerCamelCase__		:					str=None		,lowerCamelCase__		:					List[Any]=None		,lowerCamelCase__		:					str=None		,lowerCamelCase__		:					List[Any]=None		,lowerCamelCase__		:					Optional[Any]=None )  ->	Optional[Any]:




           '''simple docstring'''


           if red is not None:
                 SCREAMING_SNAKE_CASE	=		red
           if green is not None:
                 SCREAMING_SNAKE_CASE	=		green
           if blue is not None:
                 SCREAMING_SNAKE_CASE	=		blue
           if red_edge is not None:
                 SCREAMING_SNAKE_CASE	=		red_edge
           if nir is not None:
                 SCREAMING_SNAKE_CASE	=		nir
           return True






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[Any]		,lowerCamelCase__		:					Union[str, Any]=""		,lowerCamelCase__		:					List[str]=None		,lowerCamelCase__		:					int=None		,lowerCamelCase__		:					Dict=None		,lowerCamelCase__		:					List[Any]=None		,lowerCamelCase__		:					str=None )  ->	Optional[int]:




           '''simple docstring'''


           self.set_matricies(red=lowercase__		,green=lowercase__		,blue=lowercase__		,red_edge=lowercase__		,nir=lowercase__ )
           SCREAMING_SNAKE_CASE	=		{
               """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        SCREAMING_SNAKE_CASE__						(							self		:					List[str] )  ->	Optional[Any]:




           '''simple docstring'''


           return -0.18 + (1.17 * ((self.nir - self.red) / (self.nir + self.red)))






     def        SCREAMING_SNAKE_CASE__						(							self		:					Union[str, Any] )  ->	Any:




           '''simple docstring'''


           return ((self.nir - self.redEdge) / (self.nir + self.redEdge)) / (
               (self.nir - self.red) / (self.nir + self.red)
           )






     def        SCREAMING_SNAKE_CASE__						(							self		:					str )  ->	Dict:




           '''simple docstring'''


           return self.nir * (self.red / (self.green**2))






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[Any] )  ->	int:




           '''simple docstring'''


           return (2 * self.green - self.red - self.blue) / (
               2 * self.green + self.red + self.blue
           )






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[Any] )  ->	Tuple:




           '''simple docstring'''


           return (self.nir - self.red) / (self.nir + self.red)






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[Any] )  ->	List[Any]:




           '''simple docstring'''


           return (self.nir - self.blue) / (self.nir + self.blue)






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[int] )  ->	Union[str, Any]:




           '''simple docstring'''


           return (self.redEdge - self.red) / (self.redEdge + self.red)






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[int] )  ->	List[Any]:




           '''simple docstring'''


           return (self.nir - self.green) / (self.nir + self.green)






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[Any] )  ->	List[str]:




           '''simple docstring'''


           return (self.nir - (self.green + self.blue)) / (
               self.nir + (self.green + self.blue)
           )






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[int] )  ->	Union[str, Any]:




           '''simple docstring'''


           return (self.nir - (self.green + self.red)) / (
               self.nir + (self.green + self.red)
           )






     def        SCREAMING_SNAKE_CASE__						(							self		:					Any )  ->	Tuple:




           '''simple docstring'''


           return (self.nir - (self.blue + self.red)) / (self.nir + (self.blue + self.red))






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[str] )  ->	Tuple:




           '''simple docstring'''


           return (self.nir - (self.green + self.red + self.blue)) / (
               self.nir + (self.green + self.red + self.blue)
           )






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[int]		,lowerCamelCase__		:					Union[str, Any]=0.08		,lowerCamelCase__		:					str=1.22		,lowerCamelCase__		:					Dict=0.03 )  ->	int:




           '''simple docstring'''


           return a * (
               (self.nir - a * self.red - b)
               / (a * self.nir + self.red - a * b + x * (1 + a**2))
           )






     def        SCREAMING_SNAKE_CASE__						(							self		:					Tuple )  ->	int:




           '''simple docstring'''


           return (0.1 * self.nir - self.blue) / (0.1 * self.nir + self.blue)






     def        SCREAMING_SNAKE_CASE__						(							self		:					int )  ->	str:




           '''simple docstring'''


           return (self.nir / self.green) - 1






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[int] )  ->	int:




           '''simple docstring'''


           return (self.nir / self.redEdge) - 1






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[str] )  ->	Dict:




           '''simple docstring'''


           return (self.red - self.blue) / self.red






     def        SCREAMING_SNAKE_CASE__						(							self		:					Tuple )  ->	int:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		self.ndvi()
           return ((ndvi + 0.5) / (abs(ndvi + 0.5 ))) * (abs(ndvi + 0.5 ) ** (1 / 2))






     def        SCREAMING_SNAKE_CASE__						(							self		:					Any )  ->	Dict:




           '''simple docstring'''


           return self.nir - self.green






     def        SCREAMING_SNAKE_CASE__						(							self		:					Union[str, Any] )  ->	Dict:




           '''simple docstring'''


           return 2.5 * (
               (self.nir - self.red) / (self.nir + 6 * self.red - 7.5 * self.blue + 1)
           )






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[Any] )  ->	int:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		(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 - 0.125) / (1 - self.red)






     def        SCREAMING_SNAKE_CASE__						(							self		:					Any		,lowerCamelCase__		:					str=0.16 )  ->	List[Any]:




           '''simple docstring'''


           return (self.nir - self.green) / (self.nir + self.green + y)






     def        SCREAMING_SNAKE_CASE__						(							self		:					Dict		,lowerCamelCase__		:					List[str]=0.5 )  ->	Union[str, Any]:




           '''simple docstring'''


           return ((self.nir - self.green) / (self.nir + self.green + n)) * (1 + n)






     def        SCREAMING_SNAKE_CASE__						(							self		:					Any )  ->	Any:




           '''simple docstring'''


           return np.arctan(
               ((2 * self.red - self.green - self.blue) / 30.5) * (self.green - self.blue) )






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[Any]		,lowerCamelCase__		:					Optional[int]=None		,lowerCamelCase__		:					str=None )  ->	Union[str, Any]:




           '''simple docstring'''


           return (self.nir - b) / (a * self.red)






     def        SCREAMING_SNAKE_CASE__						(							self		:					int )  ->	Dict:




           '''simple docstring'''


           return (self.nir / ((self.nir + self.red) / 2)) * (self.ndvi() + 1)






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[Any] )  ->	Optional[int]:




           '''simple docstring'''


           return (self.red + self.green + self.blue) / 30.5






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[str] )  ->	Optional[Any]:




           '''simple docstring'''


           return self.nir / self.red






     def        SCREAMING_SNAKE_CASE__						(							self		:					Dict )  ->	Tuple:




           '''simple docstring'''


           return (self.rvi() - 1) / (self.rvi() + 1)






     def        SCREAMING_SNAKE_CASE__						(							self		:					Tuple )  ->	int:




           '''simple docstring'''


           return (
               (2 * self.nir + 1)
               - ((2 * self.nir + 1) ** 2 - 8 * (self.nir - self.red)) ** (1 / 2)
           ) / 2






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[str] )  ->	int:




           '''simple docstring'''


           return self.green / (self.nir + self.red + self.green)






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[Any] )  ->	Tuple:




           '''simple docstring'''


           return self.nir / (self.nir + self.red + self.green)






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[str] )  ->	str:




           '''simple docstring'''


           return self.red / (self.nir + self.red + self.green)






     def        SCREAMING_SNAKE_CASE__						(							self		:					Dict )  ->	Tuple:




           '''simple docstring'''


           return (self.green - self.red) / (self.green + self.red)






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[Any] )  ->	str:




           '''simple docstring'''


           return (self.red - self.green) / (self.red + self.green)






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[int] )  ->	Union[str, Any]:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		np.max([np.max(self.red ), np.max(self.green ), np.max(self.blue )] )
           SCREAMING_SNAKE_CASE	=		np.min([np.min(self.red ), np.min(self.green ), np.min(self.blue )] )
           return (max_value - min_value) / max_value






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[str] )  ->	Dict:




           '''simple docstring'''


           return (2 * self.red - self.green - self.blue) / (self.green - self.blue)






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[int] )  ->	Any:




           '''simple docstring'''


           return self.nir / self.red






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[Any] )  ->	Union[str, Any]:




           '''simple docstring'''


           return (self.ndvi() + 0.5) ** (1 / 2)






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[Any] )  ->	Any:




           '''simple docstring'''


           return (self.nir - self.redEdge) / (self.nir + self.redEdge)









# We ignore warnings about stepping the scheduler since we step it ourselves during gradient accumulation

import warnings

from .state import AcceleratorState, GradientState


warnings.filterwarnings("""ignore""", category=UserWarning, module="""torch.optim.lr_scheduler""")

class 	UpperCamelCase__				:



     '''simple docstring'''

     def __init__(							self		:					Optional[Any]		,lowerCamelCase__		:					Optional[int]		,lowerCamelCase__		:					Tuple		,lowerCamelCase__		:					bool = True		,lowerCamelCase__		:					bool = False )  ->	Tuple:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		scheduler
           SCREAMING_SNAKE_CASE	=		optimizers if isinstance(lowerCamelCase__		,(list, tuple) ) else [optimizers]
           SCREAMING_SNAKE_CASE	=		split_batches
           SCREAMING_SNAKE_CASE	=		step_with_optimizer
           SCREAMING_SNAKE_CASE	=		GradientState()






     def        SCREAMING_SNAKE_CASE__						(							self		:					str		,*lowerCamelCase__		:					Union[str, Any]		,**lowerCamelCase__		:					Optional[int] )  ->	Dict:




           '''simple docstring'''


           if not self.step_with_optimizer:
                 # No link between scheduler and optimizer -> just step
                 self.scheduler.step(*lowerCamelCase__		,**lowerCamelCase__ )
                 return

           # Otherwise, first make sure the optimizer was stepped.
           if not self.gradient_state.sync_gradients:
                 if self.gradient_state.adjust_scheduler:
                       self.scheduler._step_count += 1
                 return

           for opt in self.optimizers:
                 if opt.step_was_skipped:
                       return
           if self.split_batches:
                 # Split batches -> the training dataloader batch size is not changed so one step per training step
                 self.scheduler.step(*lowerCamelCase__		,**lowerCamelCase__ )
           else:
                 # Otherwise the training dataloader batch size was multiplied by `num_processes`, so we need to do
                 # num_processes steps per training step
                 SCREAMING_SNAKE_CASE	=		AcceleratorState().num_processes
                 for _ in range(lowerCamelCase__ ):
                       # Special case when using OneCycle and `drop_last` was not used
                       if hasattr(self.scheduler		,"""total_steps""" ):
                             if self.scheduler._step_count <= self.scheduler.total_steps:
                                   self.scheduler.step(*lowerCamelCase__		,**lowerCamelCase__ )
                       else:
                             self.scheduler.step(*lowerCamelCase__		,**lowerCamelCase__ )






     def        SCREAMING_SNAKE_CASE__						(							self		:					int )  ->	Optional[Any]:




           '''simple docstring'''


           return self.scheduler.get_last_lr()






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[Any] )  ->	Optional[Any]:




           '''simple docstring'''


           return self.scheduler.state_dict()






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[int]		,lowerCamelCase__		:					str )  ->	int:




           '''simple docstring'''


           self.scheduler.load_state_dict(lowerCamelCase__ )






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[Any] )  ->	Optional[Any]:




           '''simple docstring'''


           return self.scheduler.get_lr()






     def        SCREAMING_SNAKE_CASE__						(							self		:					Dict		,*lowerCamelCase__		:					int		,**lowerCamelCase__		:					Tuple )  ->	Optional[int]:




           '''simple docstring'''


           return self.scheduler.print_lr(*lowerCamelCase__		,**lowerCamelCase__ )


