






from typing import Dict, Iterable, List, Optional, Union

import numpy as np

from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
    center_crop,
    get_resize_output_image_size,
    normalize,
    rescale,
    resize,
    to_channel_dimension_format,
)
from ...image_utils import (
    IMAGENET_DEFAULT_MEAN,
    IMAGENET_DEFAULT_STD,
    ChannelDimension,
    ImageInput,
    PILImageResampling,
    make_list_of_images,
    to_numpy_array,
    valid_images,
)
from ...utils import TensorType, logging


_UpperCAmelCase			:		Tuple   				=    logging.get_logger(__name__)
class  lowerCAmelCase_       (				snake_case__					):
							UpperCamelCase_		:str		      =    ['pixel_values']




							def __init__(   self     :   str ,							SCREAMING_SNAKE_CASE_     :   bool = True ,							SCREAMING_SNAKE_CASE_     :   Dict[str, int] = None ,							SCREAMING_SNAKE_CASE_     :   PILImageResampling = PILImageResampling.BICUBIC ,							SCREAMING_SNAKE_CASE_     :   bool = True ,							SCREAMING_SNAKE_CASE_     :   Dict[str, int] = None ,							SCREAMING_SNAKE_CASE_     :   bool = True ,							SCREAMING_SNAKE_CASE_     :   Union[int, float] = 1 / 255 ,							SCREAMING_SNAKE_CASE_     :   bool = True ,							SCREAMING_SNAKE_CASE_     :   Optional[Union[float, Iterable[float]]] = IMAGENET_DEFAULT_MEAN ,							SCREAMING_SNAKE_CASE_     :   Optional[Union[float, Iterable[float]]] = IMAGENET_DEFAULT_STD ,							**SCREAMING_SNAKE_CASE_     :   Union[str, Any] ,							):
											super().__init__(**SCREAMING_SNAKE_CASE_	)
											lowerCAmelCase__      			=						size if size is not None else {'''shortest_edge''': 224}
											lowerCAmelCase__      			=						get_size_dict(SCREAMING_SNAKE_CASE_ ,							default_to_square=SCREAMING_SNAKE_CASE_	)
											lowerCAmelCase__      			=						crop_size if crop_size is not None else {'''height''': 224, '''width''': 224}
											lowerCAmelCase__      			=						get_size_dict(SCREAMING_SNAKE_CASE_ ,							param_name='''crop_size'''	)

											lowerCAmelCase__      			=						do_resize
											lowerCAmelCase__      			=						size
											lowerCAmelCase__      			=						resample
											lowerCAmelCase__      			=						do_center_crop
											lowerCAmelCase__      			=						crop_size
											lowerCAmelCase__      			=						do_rescale
											lowerCAmelCase__      			=						rescale_factor
											lowerCAmelCase__      			=						do_normalize
											lowerCAmelCase__      			=						image_mean if image_mean is not None else IMAGENET_DEFAULT_MEAN
											lowerCAmelCase__      			=						image_std if image_std is not None else IMAGENET_DEFAULT_STD




							def 						__snake_case					(   self     :   Union[str, Any] ,							SCREAMING_SNAKE_CASE_     :   np.ndarray ,							SCREAMING_SNAKE_CASE_     :   Dict[str, int] ,							SCREAMING_SNAKE_CASE_     :   PILImageResampling = PILImageResampling.BICUBIC ,							SCREAMING_SNAKE_CASE_     :   Optional[Union[str, ChannelDimension]] = None ,							**SCREAMING_SNAKE_CASE_     :   Dict ,							):
											lowerCAmelCase__      			=						get_size_dict(SCREAMING_SNAKE_CASE_ ,							default_to_square=SCREAMING_SNAKE_CASE_	)
											# size_dict is a dict with either keys "height" and "width" or "shortest_edge"
											if "shortest_edge" in size:
															lowerCAmelCase__      			=						int((256 / 224) * size['''shortest_edge''']	)
															lowerCAmelCase__      			=						get_resize_output_image_size(SCREAMING_SNAKE_CASE_ ,							size=SCREAMING_SNAKE_CASE_ ,							default_to_square=SCREAMING_SNAKE_CASE_	)
															lowerCAmelCase__      			=						{'''height''': output_size[0], '''width''': output_size[1]}
											if "height" not in size_dict or "width" not in size_dict:
															raise ValueError(
															    f'Size dict must have keys \'height\' and \'width\' or \'shortest_edge\'. Got {size_dict.keys()}'	)
											return resize(
											    SCREAMING_SNAKE_CASE_ ,							size=(size_dict['''height'''], size_dict['''width''']) ,							resample=SCREAMING_SNAKE_CASE_ ,							data_format=SCREAMING_SNAKE_CASE_ ,							**SCREAMING_SNAKE_CASE_	)




							def 						__snake_case					(   self     :   Any ,							SCREAMING_SNAKE_CASE_     :   np.ndarray ,							SCREAMING_SNAKE_CASE_     :   Dict[str, int] ,							SCREAMING_SNAKE_CASE_     :   Optional[Union[str, ChannelDimension]] = None ,							**SCREAMING_SNAKE_CASE_     :   List[str] ,							):
											lowerCAmelCase__      			=						get_size_dict(SCREAMING_SNAKE_CASE_	)
											if "height" not in size or "width" not in size:
															raise ValueError(f'Size dict must have keys \'height\' and \'width\'. Got {size.keys()}'	)
											return center_crop(SCREAMING_SNAKE_CASE_ ,							size=(size['''height'''], size['''width''']) ,							data_format=SCREAMING_SNAKE_CASE_ ,							**SCREAMING_SNAKE_CASE_	)




							def 						__snake_case					(   self     :   Tuple ,							SCREAMING_SNAKE_CASE_     :   np.ndarray ,							SCREAMING_SNAKE_CASE_     :   Union[int, float] ,							SCREAMING_SNAKE_CASE_     :   Optional[Union[str, ChannelDimension]] = None ,							**SCREAMING_SNAKE_CASE_     :   Union[str, Any] ,							):
											return rescale(SCREAMING_SNAKE_CASE_ ,							scale=SCREAMING_SNAKE_CASE_ ,							data_format=SCREAMING_SNAKE_CASE_ ,							**SCREAMING_SNAKE_CASE_	)




							def 						__snake_case					(   self     :   Dict ,							SCREAMING_SNAKE_CASE_     :   np.ndarray ,							SCREAMING_SNAKE_CASE_     :   Union[float, List[float]] ,							SCREAMING_SNAKE_CASE_     :   Union[float, List[float]] ,							SCREAMING_SNAKE_CASE_     :   Optional[Union[str, ChannelDimension]] = None ,							**SCREAMING_SNAKE_CASE_     :   Dict ,							):
											return normalize(SCREAMING_SNAKE_CASE_ ,							mean=SCREAMING_SNAKE_CASE_ ,							std=SCREAMING_SNAKE_CASE_ ,							data_format=SCREAMING_SNAKE_CASE_ ,							**SCREAMING_SNAKE_CASE_	)




							def 						__snake_case					(   self     :   List[str] ,							SCREAMING_SNAKE_CASE_     :   ImageInput ,							SCREAMING_SNAKE_CASE_     :   Optional[bool] = None ,							SCREAMING_SNAKE_CASE_     :   Optional[Dict[str, int]] = None ,							SCREAMING_SNAKE_CASE_     :   PILImageResampling = None ,							SCREAMING_SNAKE_CASE_     :   Optional[bool] = None ,							SCREAMING_SNAKE_CASE_     :   Optional[Dict[str, int]] = None ,							SCREAMING_SNAKE_CASE_     :   Optional[bool] = None ,							SCREAMING_SNAKE_CASE_     :   Optional[float] = None ,							SCREAMING_SNAKE_CASE_     :   Optional[bool] = None ,							SCREAMING_SNAKE_CASE_     :   Optional[Union[float, Iterable[float]]] = None ,							SCREAMING_SNAKE_CASE_     :   Optional[Union[float, Iterable[float]]] = None ,							SCREAMING_SNAKE_CASE_     :   Optional[TensorType] = None ,							SCREAMING_SNAKE_CASE_     :   ChannelDimension = ChannelDimension.FIRST ,							**SCREAMING_SNAKE_CASE_     :   Optional[Any] ,							):
											lowerCAmelCase__      			=						do_resize if do_resize is not None else self.do_resize
											lowerCAmelCase__      			=						resample if resample is not None else self.resample
											lowerCAmelCase__      			=						do_center_crop if do_center_crop is not None else self.do_center_crop
											lowerCAmelCase__      			=						do_rescale if do_rescale is not None else self.do_rescale
											lowerCAmelCase__      			=						rescale_factor if rescale_factor is not None else self.rescale_factor
											lowerCAmelCase__      			=						do_normalize if do_normalize is not None else self.do_normalize
											lowerCAmelCase__      			=						image_mean if image_mean is not None else self.image_mean
											lowerCAmelCase__      			=						image_std if image_std is not None else self.image_std

											lowerCAmelCase__      			=						size if size is not None else self.size
											lowerCAmelCase__      			=						get_size_dict(SCREAMING_SNAKE_CASE_ ,							default_to_square=SCREAMING_SNAKE_CASE_	)
											lowerCAmelCase__      			=						crop_size if crop_size is not None else self.crop_size
											lowerCAmelCase__      			=						get_size_dict(SCREAMING_SNAKE_CASE_ ,							param_name='''crop_size'''	)

											lowerCAmelCase__      			=						make_list_of_images(SCREAMING_SNAKE_CASE_	)

											if not valid_images(SCREAMING_SNAKE_CASE_	):
															raise ValueError(
															    '''Invalid image type. Must be of type PIL.Image.Image, numpy.ndarray, '''
															    '''torch.Tensor, tf.Tensor or jax.ndarray.'''	)

											if do_resize and size is None:
															raise ValueError('''Size must be specified if do_resize is True.'''	)

											if do_center_crop and crop_size is None:
															raise ValueError('''Crop size must be specified if do_center_crop is True.'''	)

											if do_rescale and rescale_factor is None:
															raise ValueError('''Rescale factor must be specified if do_rescale is True.'''	)

											if do_normalize and (image_mean is None or image_std is None):
															raise ValueError('''Image mean and std must be specified if do_normalize is True.'''	)

											# All transformations expect numpy arrays.
											lowerCAmelCase__      			=						[to_numpy_array(SCREAMING_SNAKE_CASE_	) for image in images]

											if do_resize:
															lowerCAmelCase__      			=						[self.resize(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	) for image in images]

											if do_center_crop:
															lowerCAmelCase__      			=						[self.center_crop(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	) for image in images]

											if do_rescale:
															lowerCAmelCase__      			=						[self.rescale(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	) for image in images]

											if do_normalize:
															lowerCAmelCase__      			=						[self.normalize(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	) for image in images]

											lowerCAmelCase__      			=						[to_channel_dimension_format(SCREAMING_SNAKE_CASE_ ,							SCREAMING_SNAKE_CASE_	) for image in images]

											lowerCAmelCase__      			=						{'''pixel_values''': images}
											return BatchFeature(data=SCREAMING_SNAKE_CASE_ ,							tensor_type=SCREAMING_SNAKE_CASE_	)













# Imports
import numpy as np
class  lowerCAmelCase_       :




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




							def 						__snake_case					(   self     :   str ,							SCREAMING_SNAKE_CASE_     :   Union[str, Any]=None ,							SCREAMING_SNAKE_CASE_     :   Optional[int]=None ,							SCREAMING_SNAKE_CASE_     :   Optional[Any]=None ,							SCREAMING_SNAKE_CASE_     :   Optional[Any]=None ,							SCREAMING_SNAKE_CASE_     :   Dict=None	):
											if red is not None:
															lowerCAmelCase__      			=						red
											if green is not None:
															lowerCAmelCase__      			=						green
											if blue is not None:
															lowerCAmelCase__      			=						blue
											if red_edge is not None:
															lowerCAmelCase__      			=						red_edge
											if nir is not None:
															lowerCAmelCase__      			=						nir
											return True




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




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




							def 						__snake_case					(   self     :   str	):
											return self.nir * (self.red / (self.green**2))




							def 						__snake_case					(   self     :   List[str]	):
											return (2 * self.green - self.red - self.blue) / (
											    2 * self.green + self.red + self.blue
											)




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




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




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




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




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




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




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




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




							def 						__snake_case					(   self     :   Union[str, Any] ,							SCREAMING_SNAKE_CASE_     :   List[Any]=0.08 ,							SCREAMING_SNAKE_CASE_     :   List[str]=1.22 ,							SCREAMING_SNAKE_CASE_     :   Union[str, Any]=0.03	):
											return a * (
											    (self.nir - a * self.red - b)
											    / (a * self.nir + self.red - a * b + x * (1 + a**2))
											)




							def 						__snake_case					(   self     :   Tuple	):
											return (0.1 * self.nir - self.blue) / (0.1 * self.nir + self.blue)




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




							def 						__snake_case					(   self     :   str	):
											return (self.nir / self.redEdge) - 1




							def 						__snake_case					(   self     :   Tuple	):
											return (self.red - self.blue) / self.red




							def 						__snake_case					(   self     :   Any	):
											lowerCAmelCase__      			=						self.ndvi()
											return ((ndvi + 0.5) / (abs(ndvi + 0.5	))) * (abs(ndvi + 0.5	) ** (1 / 2))




							def 						__snake_case					(   self     :   Dict	):
											return self.nir - self.green




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




							def 						__snake_case					(   self     :   Tuple	):
											lowerCAmelCase__      			=						(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 						__snake_case					(   self     :   Optional[Any] ,							SCREAMING_SNAKE_CASE_     :   Dict=0.16	):
											return (self.nir - self.green) / (self.nir + self.green + y)




							def 						__snake_case					(   self     :   Optional[int] ,							SCREAMING_SNAKE_CASE_     :   Any=0.5	):
											return ((self.nir - self.green) / (self.nir + self.green + n)) * (1 + n)




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




							def 						__snake_case					(   self     :   List[str] ,							SCREAMING_SNAKE_CASE_     :   List[str]=None ,							SCREAMING_SNAKE_CASE_     :   Union[str, Any]=None	):
											return (self.nir - b) / (a * self.red)




							def 						__snake_case					(   self     :   Union[str, Any]	):
											return (self.nir / ((self.nir + self.red) / 2)) * (self.ndvi() + 1)




							def 						__snake_case					(   self     :   List[str]	):
											return (self.red + self.green + self.blue) / 30.5




							def 						__snake_case					(   self     :   Optional[int]	):
											return self.nir / self.red




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




							def 						__snake_case					(   self     :   Union[str, Any]	):
											return (
											    (2 * self.nir + 1)
											    - ((2 * self.nir + 1) ** 2 - 8 * (self.nir - self.red)) ** (1 / 2)
											) / 2




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




							def 						__snake_case					(   self     :   List[str]	):
											return self.nir / (self.nir + self.red + self.green)




							def 						__snake_case					(   self     :   Any	):
											return self.red / (self.nir + self.red + self.green)




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




							def 						__snake_case					(   self     :   Dict	):
											return (self.red - self.green) / (self.red + self.green)




							def 						__snake_case					(   self     :   Optional[int]	):
											lowerCAmelCase__      			=						np.max([np.max(self.red	), np.max(self.green	), np.max(self.blue	)]	)
											lowerCAmelCase__      			=						np.min([np.min(self.red	), np.min(self.green	), np.min(self.blue	)]	)
											return (max_value - min_value) / max_value




							def 						__snake_case					(   self     :   str	):
											return (2 * self.red - self.green - self.blue) / (self.green - self.blue)




							def 						__snake_case					(   self     :   Optional[Any]	):
											return self.nir / self.red




							def 						__snake_case					(   self     :   Union[str, Any]	):
											return (self.ndvi() + 0.5) ** (1 / 2)




							def 						__snake_case					(   self     :   List[Any]	):
											return (self.nir - self.redEdge) / (self.nir + self.redEdge)





