





import numpy as np
from cva import COLOR_BGR2GRAY, cvtColor, imread
from numpy import array, uinta
from PIL import Image

from digital_image_processing import change_contrast as cc
from digital_image_processing import convert_to_negative as cn
from digital_image_processing import sepia as sp
from digital_image_processing.dithering import burkes as bs
from digital_image_processing.edge_detection import canny
from digital_image_processing.filters import convolve as conv
from digital_image_processing.filters import gaussian_filter as gg
from digital_image_processing.filters import local_binary_pattern as lbp
from digital_image_processing.filters import median_filter as med
from digital_image_processing.filters import sobel_filter as sob
from digital_image_processing.resize import resize as rs

snake_case_     =	imread(R"""digital_image_processing/image_data/lena_small.jpg""")
snake_case_     =	cvtColor(img, COLOR_BGR2GRAY)
def 							_lowerCamelCase(  )		->  Optional[int]:
    A       :       int							=						cn.convert_to_negative(a_		)
    # assert negative_img array for at least one True
    assert negative_img.any()
def 							_lowerCamelCase(  )		->  Any:
    with Image.open('''digital_image_processing/image_data/lena_small.jpg'''		) as img:
        # Work around assertion for response
        assert str(cc.change_contrast(a_    ,       110		)		).startswith(
            '''<PIL.Image.Image image mode=RGB size=100x100 at'''		)
def 							_lowerCamelCase(  )		->  Optional[int]:
    A       :       Optional[Any]							=						canny.gen_gaussian_kernel(9    ,       sigma=1.4		)
    # Assert ambiguous array
    assert resp.all()
def 							_lowerCamelCase(  )		->  List[str]:
    A       :       str							=						imread('''digital_image_processing/image_data/lena_small.jpg'''    ,       0		)
    # assert ambiguous array for all == True
    assert canny_img.all()
    A       :       Optional[Any]							=						canny.canny(a_		)
    # assert canny array for at least one True
    assert canny_array.any()
def 							_lowerCamelCase(  )		->  int:
    assert gg.gaussian_filter(a_    ,       5    ,       sigma=0.9		).all()
def 							_lowerCamelCase(  )		->  int:
    # laplace diagonals
    A       :       List[Any]							=						array([[0.2_5, 0.5, 0.2_5], [0.5, -3, 0.5], [0.2_5, 0.5, 0.2_5]]		)
    A       :       List[Any]							=						conv.img_convolve(a_    ,       a_		).astype(a_		)
    assert res.any()
def 							_lowerCamelCase(  )		->  int:
    assert med.median_filter(a_    ,       3		).any()
def 							_lowerCamelCase(  )		->  Dict:
    A       :       Union[str, Any]							=						sob.sobel_filter(a_		)
    assert grad.any() and theta.any()
def 							_lowerCamelCase(  )		->  Tuple:
    A       :       Dict							=						sp.make_sepia(a_    ,       20		)
    assert sepia.all()
def 							_lowerCamelCase(  UpperCamelCase__    : str = "digital_image_processing/image_data/lena_small.jpg"		)		->  Optional[Any]:
    A       :       Any							=						bs.Burkes(imread(a_    ,       1		)    ,       120		)
    burkes.process()
    assert burkes.output_img.any()
def 							_lowerCamelCase(  UpperCamelCase__    : str = "digital_image_processing/image_data/lena_small.jpg"    ,       )		->  Dict:
    A       :       Tuple							=						rs.NearestNeighbour(imread(a_    ,       1		)    ,       400    ,       200		)
    nn.process()
    assert nn.output.any()





def 							_lowerCamelCase(  )		->  Tuple:
    A       :       Tuple							=						'''digital_image_processing/image_data/lena.jpg'''

    # Reading the image and converting it to grayscale.
    A       :       Tuple							=						imread(a_    ,       0		)

    # Test for get_neighbors_pixel function() return not None
    A       :       Dict							=						0
    A       :       Optional[Any]							=						0
    A       :       str							=						image[x_coordinate][y_coordinate]

    A       :       Any							=						lbp.get_neighbors_pixel(
        a_    ,       a_    ,       a_    ,       a_		)

    assert neighbors_pixels is not None

    # Test for local_binary_pattern function()
    # Create a numpy array as the same height and width of read image
    A       :       int							=						np.zeros((image.shape[0], image.shape[1])		)

    # Iterating through the image and calculating the local binary pattern value
    # for each pixel.
    for i in range(0    ,       image.shape[0]		):
        for j in range(0    ,       image.shape[1]		):
            A       :       Optional[int]							=						lbp.local_binary_value(a_    ,       a_    ,       a_		)

    assert lbp_image.any()







'''simple docstring'''






def 							_lowerCamelCase(  UpperCamelCase__    : Optional[int]    ,       UpperCamelCase__    : str		)		->  Optional[int]:
    A       :       Optional[int]							=						0
    A       :       str							=						len(UpperCamelCase__		) - 1

    while left <= right:
        # avoid divided by 0 during interpolation
        if sorted_collection[left] == sorted_collection[right]:
            if sorted_collection[left] == item:
                return left
            else:
                return None

        A       :       Any							=						left + ((item - sorted_collection[left]) * (right - left)) // (
            sorted_collection[right] - sorted_collection[left]
        )

        # out of range check
        if point < 0 or point >= len(UpperCamelCase__		):
            return None

        A       :       Union[str, Any]							=						sorted_collection[point]
        if current_item == item:
            return point
        else:
            if point < left:
                A       :       Tuple							=						left
                A       :       Tuple							=						point
            elif point > right:
                A       :       Optional[Any]							=						right
                A       :       str							=						point
            else:
                if item < current_item:
                    A       :       Tuple							=						point - 1
                else:
                    A       :       Optional[Any]							=						point + 1
    return None
def 							_lowerCamelCase(  UpperCamelCase__    : Dict    ,       UpperCamelCase__    : str    ,       UpperCamelCase__    : Dict    ,       UpperCamelCase__    : List[str]		)		->  List[Any]:

    # avoid divided by 0 during interpolation
    if sorted_collection[left] == sorted_collection[right]:
        if sorted_collection[left] == item:
            return left
        else:
            return None

    A       :       Dict							=						left + ((item - sorted_collection[left]) * (right - left)) // (
        sorted_collection[right] - sorted_collection[left]
    )

    # out of range check
    if point < 0 or point >= len(UpperCamelCase__		):
        return None

    if sorted_collection[point] == item:
        return point
    elif point < left:
        return interpolation_search_by_recursion(UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__		)
    elif point > right:
        return interpolation_search_by_recursion(UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__		)
    else:
        if sorted_collection[point] > item:
            return interpolation_search_by_recursion(
                UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__    ,       point - 1		)
        else:
            return interpolation_search_by_recursion(
                UpperCamelCase__    ,       UpperCamelCase__    ,       point + 1    ,       UpperCamelCase__		)
def 							_lowerCamelCase(  UpperCamelCase__    : Optional[int]		)		->  List[Any]:
    if collection != sorted(UpperCamelCase__		):
        raise ValueError('''Collection must be ascending sorted'''		)
    return True


if __name__ == "__main__":
     import sys
     snake_case_     =	0
     if debug == 1:
          snake_case_     =	[10, 30, 40, 45, 50, 66, 77, 93]
          try:
               __assert_sorted(collection)
          except ValueError:
               sys.exit("""Sequence must be ascending sorted to apply interpolation search""")
          snake_case_     =	67

     snake_case_     =	interpolation_search(collection, target)
     if result is not None:
          print(f'''{target} found at positions: {result}''')
     else:
          print("""Not found""")
