


# Imports
import numpy as np
class 		__magic_name__						:





     '''simple docstring'''



     def __init__(					self:List[str]     ,		_a:Union[str, Any]=None     ,		_a:List[Any]=None     ,		_a:Tuple=None     ,		_a:Dict=None     ,		_a:int=None   ):
       self.set_matricies(red=_a     ,		green=_a     ,		blue=_a     ,		red_edge=_a     ,		nir=_a   )

     def 	SCREAMING_SNAKE_CASE__						(					self:Any     ,		_a:Dict=None     ,		_a:Any=None     ,		_a:Optional[int]=None     ,		_a:str=None     ,		_a:Optional[int]=None   ):
       if red is not None:
         snake_case__						= red
       if green is not None:
         snake_case__						= green
       if blue is not None:
         snake_case__						= blue
       if red_edge is not None:
         snake_case__						= red_edge
       if nir is not None:
         snake_case__						= nir
       return True

     def 	SCREAMING_SNAKE_CASE__						(					self:List[Any]     ,		_a:Optional[Any]=""     ,		_a:List[str]=None     ,		_a:Optional[int]=None     ,		_a:List[Any]=None     ,		_a:Any=None     ,		_a:List[str]=None   ):
       self.set_matricies(red=_a     ,		green=_a     ,		blue=_a     ,		red_edge=_a     ,		nir=_a   )
       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:Any   ):
       return -0.18 + (1.17 * ((self.nir - self.red) / (self.nir + self.red)))

     def 	SCREAMING_SNAKE_CASE__						(					self:Optional[Any]   ):
       return ((self.nir - self.redEdge) / (self.nir + self.redEdge)) / (
           (self.nir - self.red) / (self.nir + self.red)
       )

     def 	SCREAMING_SNAKE_CASE__						(					self:Any   ):
       return self.nir * (self.red / (self.green**2))

     def 	SCREAMING_SNAKE_CASE__						(					self:Union[str, Any]   ):
       return (2 * self.green - self.red - self.blue) / (
           2 * self.green + self.red + self.blue
       )

     def 	SCREAMING_SNAKE_CASE__						(					self:Tuple   ):
       return (self.nir - self.red) / (self.nir + self.red)

     def 	SCREAMING_SNAKE_CASE__						(					self:List[str]   ):
       return (self.nir - self.blue) / (self.nir + self.blue)

     def 	SCREAMING_SNAKE_CASE__						(					self:Union[str, Any]   ):
       return (self.redEdge - self.red) / (self.redEdge + self.red)

     def 	SCREAMING_SNAKE_CASE__						(					self:List[str]   ):
       return (self.nir - self.green) / (self.nir + self.green)

     def 	SCREAMING_SNAKE_CASE__						(					self:List[Any]   ):
       return (self.nir - (self.green + self.blue)) / (
           self.nir + (self.green + self.blue)
       )

     def 	SCREAMING_SNAKE_CASE__						(					self:Tuple   ):
       return (self.nir - (self.green + self.red)) / (
           self.nir + (self.green + self.red)
       )

     def 	SCREAMING_SNAKE_CASE__						(					self:Dict   ):
       return (self.nir - (self.blue + self.red)) / (self.nir + (self.blue + self.red))

     def 	SCREAMING_SNAKE_CASE__						(					self:Union[str, Any]   ):
       return (self.nir - (self.green + self.red + self.blue)) / (
           self.nir + (self.green + self.red + self.blue)
       )

     def 	SCREAMING_SNAKE_CASE__						(					self:Tuple     ,		_a:Optional[Any]=0.08     ,		_a:Dict=1.22     ,		_a:str=0.03   ):
       return a * (
           (self.nir - a * self.red - b)
           / (a * self.nir + self.red - a * b + x * (1 + a**2))
       )

     def 	SCREAMING_SNAKE_CASE__						(					self:Any   ):
       return (0.1 * self.nir - self.blue) / (0.1 * self.nir + self.blue)

     def 	SCREAMING_SNAKE_CASE__						(					self:Dict   ):
       return (self.nir / self.green) - 1

     def 	SCREAMING_SNAKE_CASE__						(					self:Tuple   ):
       return (self.nir / self.redEdge) - 1

     def 	SCREAMING_SNAKE_CASE__						(					self:int   ):
       return (self.red - self.blue) / self.red

     def 	SCREAMING_SNAKE_CASE__						(					self:Optional[Any]   ):
       snake_case__						= self.ndvi()
       return ((ndvi + 0.5) / (abs(ndvi + 0.5   ))) * (abs(ndvi + 0.5   ) ** (1 / 2))

     def 	SCREAMING_SNAKE_CASE__						(					self:Tuple   ):
       return self.nir - self.green

     def 	SCREAMING_SNAKE_CASE__						(					self:Union[str, Any]   ):
       return 2.5 * (
           (self.nir - self.red) / (self.nir + 6 * self.red - 7.5 * self.blue + 1)
       )

     def 	SCREAMING_SNAKE_CASE__						(					self:Dict   ):
       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:List[str]     ,		_a:Any=0.16   ):
       return (self.nir - self.green) / (self.nir + self.green + y)

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

     def 	SCREAMING_SNAKE_CASE__						(					self:Optional[Any]   ):
       return np.arctan(
           ((2 * self.red - self.green - self.blue) / 30.5) * (self.green - self.blue)   )

     def 	SCREAMING_SNAKE_CASE__						(					self:Any     ,		_a:List[Any]=None     ,		_a:Optional[int]=None   ):
       return (self.nir - b) / (a * self.red)

     def 	SCREAMING_SNAKE_CASE__						(					self:List[Any]   ):
       return (self.nir / ((self.nir + self.red) / 2)) * (self.ndvi() + 1)

     def 	SCREAMING_SNAKE_CASE__						(					self:Dict   ):
       return (self.red + self.green + self.blue) / 30.5

     def 	SCREAMING_SNAKE_CASE__						(					self:Union[str, Any]   ):
       return self.nir / self.red

     def 	SCREAMING_SNAKE_CASE__						(					self:List[Any]   ):
       return (self.rvi() - 1) / (self.rvi() + 1)

     def 	SCREAMING_SNAKE_CASE__						(					self:int   ):
       return (
           (2 * self.nir + 1)
           - ((2 * self.nir + 1) ** 2 - 8 * (self.nir - self.red)) ** (1 / 2)
       ) / 2

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

     def 	SCREAMING_SNAKE_CASE__						(					self:Optional[int]   ):
       return self.nir / (self.nir + self.red + self.green)

     def 	SCREAMING_SNAKE_CASE__						(					self:str   ):
       return self.red / (self.nir + self.red + self.green)

     def 	SCREAMING_SNAKE_CASE__						(					self:Any   ):
       return (self.green - self.red) / (self.green + self.red)

     def 	SCREAMING_SNAKE_CASE__						(					self:int   ):
       return (self.red - self.green) / (self.red + self.green)

     def 	SCREAMING_SNAKE_CASE__						(					self:Optional[Any]   ):
       snake_case__						= np.max([np.max(self.red   ), np.max(self.green   ), np.max(self.blue   )]   )
       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:Tuple   ):
       return (2 * self.red - self.green - self.blue) / (self.green - self.blue)

     def 	SCREAMING_SNAKE_CASE__						(					self:List[Any]   ):
       return self.nir / self.red

     def 	SCREAMING_SNAKE_CASE__						(					self:Tuple   ):
       return (self.ndvi() + 0.5) ** (1 / 2)







     def 	SCREAMING_SNAKE_CASE__						(					self:Optional[Any]   ):
       return (self.nir - self.redEdge) / (self.nir + self.redEdge)





import os
import sys

lowerCamelCase__							:						Optional[int]							     =   os.path.join(os.path.dirname(__file__), """src""")
sys.path.append(SRC_DIR)


from transformers import (
    AutoConfig,
    AutoModel,
    AutoModelForCausalLM,
    AutoModelForMaskedLM,
    AutoModelForQuestionAnswering,
    AutoModelForSequenceClassification,
    AutoTokenizer,
    add_start_docstrings,
)


lowerCamelCase__							:						Optional[int]							     =   [
    """torch""",
    """numpy""",
    """tokenizers""",
    """filelock""",
    """requests""",
    """tqdm""",
    """regex""",
    """sentencepiece""",
    """sacremoses""",
    """importlib_metadata""",
    """huggingface_hub""",
]







@add_start_docstrings(AutoConfig.__doc__				)
def SCREAMING_SNAKE_CASE	(			*__lowerCAmelCase							,   **__lowerCAmelCase				)    ->				Any:
  return AutoConfig.from_pretrained(*__lowerCAmelCase							,   **__lowerCAmelCase				)







@add_start_docstrings(AutoTokenizer.__doc__				)
def SCREAMING_SNAKE_CASE	(			*__lowerCAmelCase							,   **__lowerCAmelCase				)    ->				List[str]:
  return AutoTokenizer.from_pretrained(*__lowerCAmelCase							,   **__lowerCAmelCase				)







@add_start_docstrings(AutoModel.__doc__				)
def SCREAMING_SNAKE_CASE	(			*__lowerCAmelCase							,   **__lowerCAmelCase				)    ->				Tuple:
  return AutoModel.from_pretrained(*__lowerCAmelCase							,   **__lowerCAmelCase				)







@add_start_docstrings(AutoModelForCausalLM.__doc__				)
def SCREAMING_SNAKE_CASE	(			*__lowerCAmelCase							,   **__lowerCAmelCase				)    ->				Union[str, Any]:
  return AutoModelForCausalLM.from_pretrained(*__lowerCAmelCase							,   **__lowerCAmelCase				)







@add_start_docstrings(AutoModelForMaskedLM.__doc__				)
def SCREAMING_SNAKE_CASE	(			*__lowerCAmelCase							,   **__lowerCAmelCase				)    ->				List[Any]:
  return AutoModelForMaskedLM.from_pretrained(*__lowerCAmelCase							,   **__lowerCAmelCase				)







@add_start_docstrings(AutoModelForSequenceClassification.__doc__				)
def SCREAMING_SNAKE_CASE	(			*__lowerCAmelCase							,   **__lowerCAmelCase				)    ->				List[str]:
  return AutoModelForSequenceClassification.from_pretrained(*__lowerCAmelCase							,   **__lowerCAmelCase				)







@add_start_docstrings(AutoModelForQuestionAnswering.__doc__				)
def SCREAMING_SNAKE_CASE	(			*__lowerCAmelCase							,   **__lowerCAmelCase				)    ->				Union[str, Any]:
  return AutoModelForQuestionAnswering.from_pretrained(*__lowerCAmelCase							,   **__lowerCAmelCase				)

