
'''simple docstring'''






from typing import Dict, Iterable, Optional, Union

import numpy as np

from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import normalize, rescale, resize, to_channel_dimension_format, to_pil_image
from ...image_utils import (
    IMAGENET_STANDARD_MEAN,
    IMAGENET_STANDARD_STD,
    ChannelDimension,
    ImageInput,
    PILImageResampling,
    make_list_of_images,
    to_numpy_array,
    valid_images,
)
from ...utils import TensorType, is_pytesseract_available, is_vision_available, logging, requires_backends


if is_vision_available():
					import PIL

# soft dependency
if is_pytesseract_available():
					import pytesseract

A			      =      logging.get_logger(__name__)





def    UpperCAmelCase							(  UpperCAmelCase__							:							List[Any]       ,							UpperCAmelCase__							:							Optional[int]       ,							UpperCAmelCase__							:							int):
				return [
				    int(10_00 * (box[0] / width)),
				    int(10_00 * (box[1] / height)),
				    int(10_00 * (box[2] / width)),
				    int(10_00 * (box[3] / height)),
				]





def    UpperCAmelCase							(  UpperCAmelCase__							:							np.ndarray       ,							UpperCAmelCase__							:							Optional[str]       ,							UpperCAmelCase__							:							Optional[str]):
				lowerCamelCase					:			Union[str, Any]									= to_pil_image(UpperCAmelCase__)
				lowerCamelCase			, lowerCamelCase					:			Optional[Any]									= pil_image.size
				lowerCamelCase					:			Union[str, Any]									= pytesseract.image_to_data(UpperCAmelCase__       ,							lang=UpperCAmelCase__       ,							output_type='dict'       ,							config=UpperCAmelCase__)
				lowerCamelCase			, lowerCamelCase			, lowerCamelCase			, lowerCamelCase			, lowerCamelCase					:			Union[str, Any]									= data['text'], data['left'], data['top'], data['width'], data['height']

				# filter empty words and corresponding coordinates
				lowerCamelCase					:			str									= [idx for idx, word in enumerate(UpperCAmelCase__) if not word.strip()]
				lowerCamelCase					:			Dict									= [word for idx, word in enumerate(UpperCAmelCase__) if idx not in irrelevant_indices]
				lowerCamelCase					:			Any									= [coord for idx, coord in enumerate(UpperCAmelCase__) if idx not in irrelevant_indices]
				lowerCamelCase					:			List[str]									= [coord for idx, coord in enumerate(UpperCAmelCase__) if idx not in irrelevant_indices]
				lowerCamelCase					:			Any									= [coord for idx, coord in enumerate(UpperCAmelCase__) if idx not in irrelevant_indices]
				lowerCamelCase					:			List[str]									= [coord for idx, coord in enumerate(UpperCAmelCase__) if idx not in irrelevant_indices]

				# turn coordinates into (left, top, left+width, top+height) format
				lowerCamelCase					:			Union[str, Any]									= []
				for x, y, w, h in zip(UpperCAmelCase__       ,							UpperCAmelCase__       ,							UpperCAmelCase__       ,							UpperCAmelCase__):
								lowerCamelCase					:			List[str]									= [x, y, x + w, y + h]
								actual_boxes.append(UpperCAmelCase__)

				# finally, normalize the bounding boxes
				lowerCamelCase					:			List[str]									= []
				for box in actual_boxes:
								normalized_boxes.append(normalize_box(UpperCAmelCase__       ,							UpperCAmelCase__       ,							UpperCAmelCase__))

				assert len(UpperCAmelCase__) == len(UpperCAmelCase__), "Not as many words as there are bounding boxes"

				return words, normalized_boxes




class     __snake_case		(   a__):
					_lowerCAmelCase			     =	['''pixel_values''']
					def __init__(     self,    A = True,    A = None,    A = PILImageResampling.BILINEAR,    A = True,    A = 1 / 255,    A = True,    A = None,    A = None,    A = True,    A = None,    A = "",    **A,    ):

									"""simple docstring"""


									super().__init__(**A      )
									lowerCamelCase					:			List[str]									= size if size is not None else {'height': 224, 'width': 224}
									lowerCamelCase					:			List[str]									= get_size_dict(A      )

									lowerCamelCase					:			int									= do_resize
									lowerCamelCase					:			Tuple									= size
									lowerCamelCase					:			Optional[Any]									= resample
									lowerCamelCase					:			List[Any]									= do_rescale
									lowerCamelCase					:			Dict									= rescale_value
									lowerCamelCase					:			Optional[int]									= do_normalize
									lowerCamelCase					:			List[str]									= image_mean if image_mean is not None else IMAGENET_STANDARD_MEAN
									lowerCamelCase					:			Optional[Any]									= image_std if image_std is not None else IMAGENET_STANDARD_STD
									lowerCamelCase					:			List[str]									= apply_ocr
									lowerCamelCase					:			Dict									= ocr_lang
									lowerCamelCase					:			List[Any]									= tesseract_config
					def     UpperCAmelCase_							(     self,    A,    A,    A = PILImageResampling.BILINEAR,    A = None,    **A,    ):

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= get_size_dict(A      )
									if "height" not in size or "width" not in size:
													raise ValueError(F'''The size dictionary must contain the keys \'height\' and \'width\'. Got {size.keys()}'''      )
									lowerCamelCase					:			str									= (size['height'], size['width'])
									return resize(A,    size=A,    resample=A,    data_format=A,    **A      )
					def     UpperCAmelCase_							(     self,    A,    A,    A = None,    **A,    ):

									"""simple docstring"""


									return rescale(A,    scale=A,    data_format=A,    **A      )
					def     UpperCAmelCase_							(     self,    A,    A,    A,    A = None,    **A,    ):

									"""simple docstring"""


									return normalize(A,    mean=A,    std=A,    data_format=A,    **A      )




					def     UpperCAmelCase_							(     self,    A,    A = None,    A = None,    A=None,    A = None,    A = None,    A = None,    A = None,    A = None,    A = None,    A = None,    A = None,    A = None,    A = ChannelDimension.FIRST,    **A,    ):

									"""simple docstring"""


									lowerCamelCase					:			List[Any]									= do_resize if do_resize is not None else self.do_resize
									lowerCamelCase					:			Dict									= size if size is not None else self.size
									lowerCamelCase					:			Tuple									= get_size_dict(A      )
									lowerCamelCase					:			int									= resample if resample is not None else self.resample
									lowerCamelCase					:			List[Any]									= do_rescale if do_rescale is not None else self.do_rescale
									lowerCamelCase					:			Optional[Any]									= rescale_factor if rescale_factor is not None else self.rescale_factor
									lowerCamelCase					:			Union[str, Any]									= do_normalize if do_normalize is not None else self.do_normalize
									lowerCamelCase					:			Optional[Any]									= image_mean if image_mean is not None else self.image_mean
									lowerCamelCase					:			List[str]									= image_std if image_std is not None else self.image_std
									lowerCamelCase					:			List[Any]									= apply_ocr if apply_ocr is not None else self.apply_ocr
									lowerCamelCase					:			Optional[int]									= ocr_lang if ocr_lang is not None else self.ocr_lang
									lowerCamelCase					:			str									= tesseract_config if tesseract_config is not None else self.tesseract_config

									lowerCamelCase					:			str									= make_list_of_images(A      )

									if not valid_images(A      ):
													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_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('If do_normalize is True, image_mean and image_std must be specified.'      )

									# All transformations expect numpy arrays.
									lowerCamelCase					:			Tuple									= [to_numpy_array(A      ) for image in images]

									# Tesseract OCR to get words + normalized bounding boxes
									if apply_ocr:
													requires_backends(self,    'pytesseract'      )
													lowerCamelCase					:			Optional[Any]									= []
													lowerCamelCase					:			Tuple									= []
													for image in images:
																	lowerCamelCase			, lowerCamelCase					:			Dict									= apply_tesseract(A,    A,    A      )
																	words_batch.append(A      )
																	boxes_batch.append(A      )

									if do_resize:
													lowerCamelCase					:			Union[str, Any]									= [self.resize(image=A,    size=A,    resample=A      ) for image in images]

									if do_rescale:
													lowerCamelCase					:			Dict									= [self.rescale(image=A,    scale=A      ) for image in images]

									if do_normalize:
													lowerCamelCase					:			str									= [self.normalize(image=A,    mean=A,    std=A      ) for image in images]

									lowerCamelCase					:			Dict									= [to_channel_dimension_format(A,    A      ) for image in images]

									lowerCamelCase					:			List[str]									= BatchFeature(data={'pixel_values': images},    tensor_type=A      )

									if apply_ocr:
													lowerCamelCase					:			Optional[int]									= words_batch
													lowerCamelCase					:			Optional[int]									= boxes_batch
									return data


'''simple docstring'''






# Imports
import numpy as np




class     __snake_case		:
					def __init__(     self,    A=None,    A=None,    A=None,    A=None,    A=None      ):

									"""simple docstring"""


									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      ):

									"""simple docstring"""


									if red is not None:
													lowerCamelCase					:			Optional[int]									= red
									if green is not None:
													lowerCamelCase					:			Optional[int]									= green
									if blue is not None:
													lowerCamelCase					:			List[str]									= blue
									if red_edge is not None:
													lowerCamelCase					:			Tuple									= red_edge
									if nir is not None:
													lowerCamelCase					:			Any									= nir
									return True
					def     UpperCAmelCase_							(     self,    A="",    A=None,    A=None,    A=None,    A=None,    A=None      ):

									"""simple docstring"""


									self.set_matricies(red=A,    green=A,    blue=A,    red_edge=A,    nir=A      )
									lowerCamelCase					:			Optional[int]									= {
									    '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      ):

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


									return (self.nir - self.blue) / (self.nir + self.blue)
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									return (self.redEdge - self.red) / (self.redEdge + self.red)
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


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

									"""simple docstring"""


									return (self.nir - (self.green + self.blue)) / (
									    self.nir + (self.green + self.blue)
									)
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


									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      ):

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


									return (self.red - self.blue) / self.red
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


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

									"""simple docstring"""


									return self.nir - self.green
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


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

									"""simple docstring"""


									lowerCamelCase					:			str									= (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     UpperCAmelCase_							(     self,    A=0.16      ):

									"""simple docstring"""


									return (self.nir - self.green) / (self.nir + self.green + y)
					def     UpperCAmelCase_							(     self,    A=0.5      ):

									"""simple docstring"""


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

									"""simple docstring"""


									return np.arctan(
									    ((2 * self.red - self.green - self.blue) / 30.5) * (self.green - self.blue)      )
					def     UpperCAmelCase_							(     self,    A=None,    A=None      ):

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


									return self.nir / self.red
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


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

									"""simple docstring"""


									lowerCamelCase					:			Optional[Any]									= np.max([np.max(self.red      ), np.max(self.green      ), np.max(self.blue      )]      )
									lowerCamelCase					:			Tuple									= np.min([np.min(self.red      ), np.min(self.green      ), np.min(self.blue      )]      )
									return (max_value - min_value) / max_value
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


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

									"""simple docstring"""


									return self.nir / self.red
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


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




					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


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