





# Imports
import numpy as np





class  A__    :




   """simple docstring"""



   def __init__(					self					,  lowercase=None					,  lowercase=None					,  lowercase=None					,  lowercase=None					,  lowercase=None)			->						Dict:







          '''simple docstring'''

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

   def 							__lowercase		(					self					,  lowercase=None					,  lowercase=None					,  lowercase=None					,  lowercase=None					,  lowercase=None)			->						List[Any]:







          '''simple docstring'''

          if red is not None:
                 a__						:	List[Any] =				red
          if green is not None:
                 a__						:	List[Any] =				green
          if blue is not None:
                 a__						:	Optional[int] =				blue
          if red_edge is not None:
                 a__						:	Dict =				red_edge
          if nir is not None:
                 a__						:	Optional[int] =				nir
          return True

   def 							__lowercase		(					self					,  lowercase=""					,  lowercase=None					,  lowercase=None					,  lowercase=None					,  lowercase=None					,  lowercase=None)			->						List[Any]:







          '''simple docstring'''

          self.set_matricies(red=lowercase					,  green=lowercase					,  blue=lowercase					,  red_edge=lowercase					,  nir=lowercase)
          a__						:	Dict =				{
              '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 							__lowercase		(					self)			->						Union[str, Any]:







          '''simple docstring'''

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

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







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						Any:







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						Any:







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						Dict:







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						Dict:







          '''simple docstring'''

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

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







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						int:







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						Tuple:







          '''simple docstring'''

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

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







          '''simple docstring'''

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

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







          '''simple docstring'''

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

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







          '''simple docstring'''

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

   def 							__lowercase		(					self					,  lowercase=0.08					,  lowercase=1.22					,  lowercase=0.03)			->						Optional[Any]:







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						Dict:







          '''simple docstring'''

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

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







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						int:







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						Tuple:







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						Any:







          '''simple docstring'''

          a__						:	List[str] =				self.ndvi()
          return ((ndvi + 0.5) / (abs(ndvi + 0.5))) * (abs(ndvi + 0.5) ** (1 / 2))

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







          '''simple docstring'''

          return self.nir - self.green

   def 							__lowercase		(					self)			->						Dict:







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						str:







          '''simple docstring'''

          a__						:	Dict =				(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 							__lowercase		(					self					,  lowercase=0.16)			->						List[Any]:







          '''simple docstring'''

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

   def 							__lowercase		(					self					,  lowercase=0.5)			->						str:







          '''simple docstring'''

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

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







          '''simple docstring'''

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

   def 							__lowercase		(					self					,  lowercase=None					,  lowercase=None)			->						Optional[int]:







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						str:







          '''simple docstring'''

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

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







          '''simple docstring'''

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

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







          '''simple docstring'''

          return self.nir / self.red

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







          '''simple docstring'''

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

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







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						int:







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						str:







          '''simple docstring'''

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

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







          '''simple docstring'''

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

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







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						str:







          '''simple docstring'''

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

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







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						int:







          '''simple docstring'''

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

   def 							__lowercase		(					self)			->						Any:







          '''simple docstring'''

          return self.nir / self.red

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







          '''simple docstring'''

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

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







          '''simple docstring'''

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





import argparse

import torch

from transformers import GPTaConfig, GPTaModel, load_tf_weights_in_gpta
from transformers.utils import CONFIG_NAME, WEIGHTS_NAME, logging


logging.set_verbosity_info()

def 						UpperCamelCase					(lowercase_: int    ,      lowercase_: Dict    ,      lowercase_: Tuple					)     ->      Any:
	# Construct model
	if gpta_config_file == "":
		A__							:    Dict        =		GPTaConfig()
	else:
		A__							:    List[Any]        =		GPTaConfig.from_json_file(lowercase_					)
	A__							:    Tuple        =		GPTaModel(lowercase_					)

	# Load weights from numpy
	load_tf_weights_in_gpta(lowercase_    ,      lowercase_    ,      lowercase_					)

	# Save pytorch-model
	A__							:    Optional[Any]        =		pytorch_dump_folder_path + """/""" + WEIGHTS_NAME
	A__							:    Optional[Any]        =		pytorch_dump_folder_path + """/""" + CONFIG_NAME
	print(f"""Save PyTorch model to {pytorch_weights_dump_path}"""					)
	torch.save(model.state_dict()    ,      lowercase_					)
	print(f"""Save configuration file to {pytorch_config_dump_path}"""					)
	with open(lowercase_    ,      """w"""    ,      encoding="""utf-8"""					) as f:
		f.write(config.to_json_string()					)


if __name__ == "__main__":
	A_       : Union[str, Any]         =			argparse.ArgumentParser()
	# Required parameters
	parser.add_argument(
	    '--gpt2_checkpoint_path', default=None, type=str, required=True, help='Path to the TensorFlow checkpoint path.'
	)
	parser.add_argument(
	    '--pytorch_dump_folder_path', default=None, type=str, required=True, help='Path to the output PyTorch model.'
	)
	parser.add_argument(
	    '--gpt2_config_file',
	    default='',
	    type=str,
	    help=(
	        'An optional config json file corresponding to the pre-trained OpenAI model. \n'
	        'This specifies the model architecture.'
	    ),
	)
	A_       : str         =			parser.parse_args()
	convert_gpta_checkpoint_to_pytorch(args.gpta_checkpoint_path, args.gpta_config_file, args.pytorch_dump_folder_path)



