




"""simple docstring"""




def    __SCREAMING_SNAKE_CASE				(					lowercase_   ,       lowercase_   ,       lowercase_   ,       lowercase_ )    ->		Dict:

    """simple docstring"""


    if start == end:
        return start if lst[start] > item else start + 1
    if start > end:
        return start

    __UpperCamelCase											=  (start + end) // 2
    if lst[mid] < item:
        return binary_search(lowercase_   ,       lowercase_   ,       mid + 1   ,       lowercase_ )
    elif lst[mid] > item:
        return binary_search(lowercase_   ,       lowercase_   ,       lowercase_   ,       mid - 1 )
    else:
        return mid




def    __SCREAMING_SNAKE_CASE				(					lowercase_ )    ->		Union[str, Any]:

    """simple docstring"""


    __UpperCamelCase											=  len(lowercase_ )

    for index in range(1   ,       lowercase_ ):
        __UpperCamelCase											=  lst[index]
        __UpperCamelCase											=  binary_search(lowercase_   ,       lowercase_   ,       0   ,       index - 1 )
        __UpperCamelCase											=  lst[:pos] + [value] + lst[pos:index] + lst[index + 1 :]

    return lst




def    __SCREAMING_SNAKE_CASE				(					lowercase_   ,       lowercase_ )    ->		List[str]:

    """simple docstring"""


    if not left:
        return right

    if not right:
        return left

    if left[0] < right[0]:
        return [left[0], *merge(left[1:]   ,       lowercase_ )]

    return [right[0], *merge(lowercase_   ,       right[1:] )]




def    __SCREAMING_SNAKE_CASE				(					lowercase_ )    ->		Any:

    """simple docstring"""


    __UpperCamelCase											=  len(lowercase_ )
    __UpperCamelCase						, __UpperCamelCase											=  [], []
    __UpperCamelCase											=  [lst[0]]
    __UpperCamelCase											=  []
    __UpperCamelCase											=  1
    while i < length:
        if lst[i] < lst[i - 1]:
            runs.append(lowercase_ )
            __UpperCamelCase											=  [lst[i]]
        else:
            new_run.append(lst[i] )
        i += 1
    runs.append(lowercase_ )

    for run in runs:
        sorted_runs.append(insertion_sort(lowercase_ ) )
    for run in sorted_runs:
        __UpperCamelCase											=  merge(lowercase_   ,       lowercase_ )

    return sorted_array




def    __SCREAMING_SNAKE_CASE				(					)    ->		Any:

    """simple docstring"""


    __UpperCamelCase											=  [5, 9, 10, 3, -4, 5, 1_78, 92, 46, -18, 0, 7]
    __UpperCamelCase											=  tim_sort(lowercase_ )
    print(lowercase_ )


if __name__ == "__main__":
 main()












import cva
import numpy as np




def    __SCREAMING_SNAKE_CASE				(					lowercase_   ,       lowercase_   ,       lowercase_   ,       lowercase_ )    ->		int:

    """simple docstring"""


    try:
        return int(image[x_coordinate][y_coordinate] >= center )
    except (IndexError, TypeError):
        return 0




def    __SCREAMING_SNAKE_CASE				(					lowercase_   ,       lowercase_   ,       lowercase_ )    ->		int:

    """simple docstring"""


    __UpperCamelCase											=  image[x_coordinate][y_coordinate]
    __UpperCamelCase											=  [1, 2, 4, 8, 16, 32, 64, 1_28]

    # skip get_neighbors_pixel if center is null
    if center is None:
        return 0

    # Starting from the top right, assigning value to pixels clockwise
    __UpperCamelCase											=  [
        get_neighbors_pixel(lowercase_   ,       x_coordinate - 1   ,       y_coordinate + 1   ,       lowercase_ ),
        get_neighbors_pixel(lowercase_   ,       lowercase_   ,       y_coordinate + 1   ,       lowercase_ ),
        get_neighbors_pixel(lowercase_   ,       x_coordinate - 1   ,       lowercase_   ,       lowercase_ ),
        get_neighbors_pixel(lowercase_   ,       x_coordinate + 1   ,       y_coordinate + 1   ,       lowercase_ ),
        get_neighbors_pixel(lowercase_   ,       x_coordinate + 1   ,       lowercase_   ,       lowercase_ ),
        get_neighbors_pixel(lowercase_   ,       x_coordinate + 1   ,       y_coordinate - 1   ,       lowercase_ ),
        get_neighbors_pixel(lowercase_   ,       lowercase_   ,       y_coordinate - 1   ,       lowercase_ ),
        get_neighbors_pixel(lowercase_   ,       x_coordinate - 1   ,       y_coordinate - 1   ,       lowercase_ ),
    ]

    # Converting the binary value to decimal.
    return sum(
        binary_value * power for binary_value, power in zip(lowercase_   ,       lowercase_ ) )


if __name__ == "__main__":
 # Reading the image and converting it to grayscale.
 a_										=       cva.imread(
     "digital_image_processing/image_data/lena.jpg", cva.IMREAD_GRAYSCALE
 )

 # Create a numpy array as the same height and width of read image
 a_										=       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_										=       local_binary_value(image, i, j)

 cva.imshow("local binary pattern", lbp_image)
 cva.waitKey(0)
 cva.destroyAllWindows()






