


'''simple docstring'''





# Imports
import numpy as np




class 				UpperCAmelCase			:


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


 def        __SCREAMING_SNAKE_CASE					(      self							:	List[str]			,       __lowerCamelCase							:	Dict=None			,       __lowerCamelCase							:	Optional[int]=None			,       __lowerCamelCase							:	List[Any]=None			,       __lowerCamelCase							:	int=None			,       __lowerCamelCase							:	List[str]=None ):
    if red is not None:
       UpperCAmelCase__	:Dict      =      red
    if green is not None:
       UpperCAmelCase__	:int      =      green
    if blue is not None:
       UpperCAmelCase__	:int      =      blue
    if red_edge is not None:
       UpperCAmelCase__	:List[Any]      =      red_edge
    if nir is not None:
       UpperCAmelCase__	:List[str]      =      nir
    return True


 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[Any]			,       __lowerCamelCase							:	Tuple=""			,       __lowerCamelCase							:	Union[str, Any]=None			,       __lowerCamelCase							:	Optional[Any]=None			,       __lowerCamelCase							:	List[str]=None			,       __lowerCamelCase							:	Any=None			,       __lowerCamelCase							:	str=None ):
    self.set_matricies(red=__lowerCamelCase			,       green=__lowerCamelCase			,       blue=__lowerCamelCase			,       red_edge=__lowerCamelCase			,       nir=__lowerCamelCase )
    UpperCAmelCase__	:Optional[Any]      =      {
        '''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] ):
    return -0.18 + (1.17 * ((self.nir - self.red) / (self.nir + self.red)))


 def        __SCREAMING_SNAKE_CASE					(      self							:	str ):
    return ((self.nir - self.redEdge) / (self.nir + self.redEdge)) / (
        (self.nir - self.red) / (self.nir + self.red)
    )


 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[int] ):
    return self.nir * (self.red / (self.green**2))


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


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


 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[Any] ):
    return (self.nir - self.blue) / (self.nir + self.blue)


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


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


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


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


 def        __SCREAMING_SNAKE_CASE					(      self							:	List[str]			,       __lowerCamelCase							:	List[Any]=0.08			,       __lowerCamelCase							:	Union[str, Any]=1.22			,       __lowerCamelCase							:	List[Any]=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							:	Optional[int] ):
    return (0.1 * self.nir - self.blue) / (0.1 * self.nir + self.blue)


 def        __SCREAMING_SNAKE_CASE					(      self							:	int ):
    return (self.nir / self.green) - 1


 def        __SCREAMING_SNAKE_CASE					(      self							:	Dict ):
    return (self.nir / self.redEdge) - 1


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


 def        __SCREAMING_SNAKE_CASE					(      self							:	str ):
    UpperCAmelCase__	:Tuple      =      self.ndvi()
    return ((ndvi + 0.5) / (abs(ndvi + 0.5 ))) * (abs(ndvi + 0.5 ) ** (1 / 2))


 def        __SCREAMING_SNAKE_CASE					(      self							:	Any ):
    return self.nir - self.green


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


 def        __SCREAMING_SNAKE_CASE					(      self							:	str ):
    UpperCAmelCase__	:Union[str, 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        __SCREAMING_SNAKE_CASE					(      self							:	Tuple			,       __lowerCamelCase							:	List[str]=0.16 ):
    return (self.nir - self.green) / (self.nir + self.green + y)


 def        __SCREAMING_SNAKE_CASE					(      self							:	str			,       __lowerCamelCase							:	Any=0.5 ):
    return ((self.nir - self.green) / (self.nir + self.green + n)) * (1 + n)


 def        __SCREAMING_SNAKE_CASE					(      self							:	Tuple ):
    return np.arctan(
        ((2 * self.red - self.green - self.blue) / 30.5) * (self.green - self.blue) )


 def        __SCREAMING_SNAKE_CASE					(      self							:	str			,       __lowerCamelCase							:	List[str]=None			,       __lowerCamelCase							:	Optional[int]=None ):
    return (self.nir - b) / (a * self.red)


 def        __SCREAMING_SNAKE_CASE					(      self							:	int ):
    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							:	str ):
    return self.nir / self.red


 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[int] ):
    return (self.rvi() - 1) / (self.rvi() + 1)


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


 def        __SCREAMING_SNAKE_CASE					(      self							:	int ):
    return self.nir / (self.nir + self.red + self.green)


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


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


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


 def        __SCREAMING_SNAKE_CASE					(      self							:	str ):
    UpperCAmelCase__	:Dict      =      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        __SCREAMING_SNAKE_CASE					(      self							:	List[Any] ):
    return (2 * self.red - self.green - self.blue) / (self.green - self.blue)


 def        __SCREAMING_SNAKE_CASE					(      self							:	List[str] ):
    return self.nir / self.red


 def        __SCREAMING_SNAKE_CASE					(      self							:	str ):
    return (self.ndvi() + 0.5) ** (1 / 2)





 def        __SCREAMING_SNAKE_CASE					(      self							:	int ):
    return (self.nir - self.redEdge) / (self.nir + self.redEdge)







'''simple docstring'''





import warnings
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCamelCase												=						logging.get_logger(__name__)

__lowerCamelCase												=						{
    '''nvidia/segformer-b0-finetuned-ade-512-512''': (
        '''https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'''
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}




class 				UpperCAmelCase			(			_snake_case						):
 UpperCAmelCase				=					"segformer"


 def __init__(      self							:	Dict			,       __lowerCamelCase							:	Dict=3			,       __lowerCamelCase							:	List[str]=4			,       __lowerCamelCase							:	List[Any]=[2, 2, 2, 2]			,       __lowerCamelCase							:	List[str]=[8, 4, 2, 1]			,       __lowerCamelCase							:	Optional[Any]=[3_2, 6_4, 1_6_0, 2_5_6]			,       __lowerCamelCase							:	Tuple=[7, 3, 3, 3]			,       __lowerCamelCase							:	Tuple=[4, 2, 2, 2]			,       __lowerCamelCase							:	Any=[1, 2, 5, 8]			,       __lowerCamelCase							:	Optional[Any]=[4, 4, 4, 4]			,       __lowerCamelCase							:	Union[str, Any]="gelu"			,       __lowerCamelCase							:	Dict=0.0			,       __lowerCamelCase							:	Union[str, Any]=0.0			,       __lowerCamelCase							:	Tuple=0.1			,       __lowerCamelCase							:	Optional[Any]=0.02			,       __lowerCamelCase							:	Optional[int]=0.1			,       __lowerCamelCase							:	str=1e-6			,       __lowerCamelCase							:	List[Any]=2_5_6			,       __lowerCamelCase							:	int=2_5_5			,       **__lowerCamelCase							:	str			,       ):
    super().__init__(**__lowerCamelCase )

    if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
       warnings.warn(
           '''Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be'''
           ''' removed, as the behaviour will default to that of reshape_last_stage = True.'''			,       __lowerCamelCase			,       )

    UpperCAmelCase__	:Dict      =      num_channels
    UpperCAmelCase__	:List[Any]      =      num_encoder_blocks
    UpperCAmelCase__	:List[str]      =      depths
    UpperCAmelCase__	:str      =      sr_ratios
    UpperCAmelCase__	:Optional[Any]      =      hidden_sizes
    UpperCAmelCase__	:List[str]      =      patch_sizes
    UpperCAmelCase__	:List[str]      =      strides
    UpperCAmelCase__	:List[str]      =      mlp_ratios
    UpperCAmelCase__	:Dict      =      num_attention_heads
    UpperCAmelCase__	:Tuple      =      hidden_act
    UpperCAmelCase__	:List[str]      =      hidden_dropout_prob
    UpperCAmelCase__	:List[Any]      =      attention_probs_dropout_prob
    UpperCAmelCase__	:int      =      classifier_dropout_prob
    UpperCAmelCase__	:str      =      initializer_range
    UpperCAmelCase__	:List[str]      =      drop_path_rate
    UpperCAmelCase__	:Dict      =      layer_norm_eps
    UpperCAmelCase__	:List[str]      =      decoder_hidden_size
    UpperCAmelCase__	:Optional[int]      =      kwargs.get('''reshape_last_stage'''			,       __lowerCamelCase )
    UpperCAmelCase__	:str      =      semantic_loss_ignore_index




class 				UpperCAmelCase			(			_snake_case						):
 UpperCAmelCase				=					version.parse("1.11"						)


 @property
 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[Any] ):
    return OrderedDict(
        [
            ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
        ] )


 @property
 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[int] ):
    return 1e-4





 @property
 def        __SCREAMING_SNAKE_CASE					(      self							:	List[str] ):
    return 1_2



