





# Imports
import numpy as np

class     snake_case_		:






 '''simple docstring'''





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

 def  __UpperCAmelCase						(  self,		A_=None,		A_=None,		A_=None,		A_=None,		A_=None		)	->       Tuple:
    if red is not None:
       UpperCAmelCase__						=red
    if green is not None:
       UpperCAmelCase__						=green
    if blue is not None:
       UpperCAmelCase__						=blue
    if red_edge is not None:
       UpperCAmelCase__						=red_edge
    if nir is not None:
       UpperCAmelCase__						=nir
    return True

 def  __UpperCAmelCase						(  self,		A_="",		A_=None,		A_=None,		A_=None,		A_=None,		A_=None		)	->       Optional[Any]:
    self.set_matricies(red=A_,		green=A_,		blue=A_,		red_edge=A_,		nir=A_		)
    UpperCAmelCase__						={
        "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		)	->       Optional[int]:
    return -0.18 + (1.17 * ((self.nir - self.red) / (self.nir + self.red)))

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

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

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

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

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

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

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

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

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

 def  __UpperCAmelCase						(  self,		A_=0.08,		A_=1.22,		A_=0.03		)	->       List[str]:
    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		)	->       str:
    return (self.nir / self.green) - 1

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

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

 def  __UpperCAmelCase						(  self		)	->       Dict:
    UpperCAmelCase__						=self.ndvi()
    return ((ndvi + 0.5) / (abs(ndvi + 0.5		))) * (abs(ndvi + 0.5		) ** (1 / 2))

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

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

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

 def  __UpperCAmelCase						(  self,		A_=0.5		)	->       Dict:
    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,		A_=None,		A_=None		)	->       Optional[int]:
    return (self.nir - b) / (a * self.red)

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

 def  __UpperCAmelCase						(  self		)	->       Tuple:
    return (self.red + self.green + self.blue) / 30.5

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

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

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

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

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

 def  __UpperCAmelCase						(  self		)	->       Dict:
    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		)	->       int:
    return (self.red - self.green) / (self.red + self.green)

 def  __UpperCAmelCase						(  self		)	->       int:
    UpperCAmelCase__						=np.max([np.max(self.red		), np.max(self.green		), np.max(self.blue		)]		)
    UpperCAmelCase__						=np.min([np.min(self.red		), np.min(self.green		), np.min(self.blue		)]		)
    return (max_value - min_value) / max_value

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

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

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






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










from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase_												=	logging.get_logger(__name__)

UpperCamelCase_												=	{
    'naver-clova-ix/donut-base': 'https://huggingface.co/naver-clova-ix/donut-base/resolve/main/config.json',
    # See all Donut models at https://huggingface.co/models?filter=donut-swin
}

class     snake_case_		(   a							):






 '''simple docstring'''





 __UpperCamelCase       =      'donut-swin'

 __UpperCamelCase       =      {
     'num_attention_heads': 'num_heads',
     'num_hidden_layers': 'num_layers',
 }

 def __init__(  self,		A_=224,		A_=4,		A_=3,		A_=96,		A_=[2, 2, 6, 2],		A_=[3, 6, 12, 24],		A_=7,		A_=4.0,		A_=True,		A_=0.0,		A_=0.0,		A_=0.1,		A_="gelu",		A_=False,		A_=0.02,		A_=1E-5,		**A_,		)	->       List[str]:
    super().__init__(**A_		)

    UpperCAmelCase__						=image_size
    UpperCAmelCase__						=patch_size
    UpperCAmelCase__						=num_channels
    UpperCAmelCase__						=embed_dim
    UpperCAmelCase__						=depths
    UpperCAmelCase__						=len(A_		)
    UpperCAmelCase__						=num_heads
    UpperCAmelCase__						=window_size
    UpperCAmelCase__						=mlp_ratio
    UpperCAmelCase__						=qkv_bias
    UpperCAmelCase__						=hidden_dropout_prob
    UpperCAmelCase__						=attention_probs_dropout_prob
    UpperCAmelCase__						=drop_path_rate
    UpperCAmelCase__						=hidden_act
    UpperCAmelCase__						=use_absolute_embeddings
    UpperCAmelCase__						=layer_norm_eps
    UpperCAmelCase__						=initializer_range
    # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
    # this indicates the channel dimension after the last stage of the model
    UpperCAmelCase__						=int(embed_dim * 2 ** (len(A_		) - 1)		)



