





'''simple docstring'''







import cva
import numpy as np





def    _lowerCAmelCase						(						lowercase					,	lowercase					,	lowercase					,	lowercase	)					->					int:

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





def    _lowerCAmelCase						(						lowercase					,	lowercase					,	lowercase	)					->					int:
			__lowerCAmelCase											=				image[x_coordinate][y_coordinate]
			__lowerCAmelCase											=				[1, 2, 4, 8, 16, 32, 64, 128]

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

			# Starting from the top right, assigning value to pixels clockwise
			__lowerCAmelCase											=				[
			    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					: List[Any]      =    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					: Union[str, Any]      =    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					: List[Any]      =    local_binary_value(image, i, j)

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








'''simple docstring'''







from collections import namedtuple

_a					: Any      =    namedtuple("""from_to""", """from_ to""")

_a					: Dict      =    {
    """millimeter""": """mm""",
    """centimeter""": """cm""",
    """meter""": """m""",
    """kilometer""": """km""",
    """inch""": """in""",
    """inche""": """in""",  # Trailing 's' has been stripped off
    """feet""": """ft""",
    """foot""": """ft""",
    """yard""": """yd""",
    """mile""": """mi""",
}

_a					: Optional[Any]      =    {
    """mm""": from_to(0.001, 1_0_0_0),
    """cm""": from_to(0.01, 1_0_0),
    """m""": from_to(1, 1),
    """km""": from_to(1_0_0_0, 0.001),
    """in""": from_to(0.0254, 39.3701),
    """ft""": from_to(0.3048, 3.28084),
    """yd""": from_to(0.9144, 1.09361),
    """mi""": from_to(1609.34, 0.000621371),
}





def    _lowerCAmelCase						(						lowercase					,	lowercase					,	lowercase	)					->					float:
			__lowerCAmelCase											=				from_type.lower().rstrip("""s"""	)
			__lowerCAmelCase											=				TYPE_CONVERSION.get(lowercase					,	lowercase	)
			__lowerCAmelCase											=				to_type.lower().rstrip("""s"""	)
			__lowerCAmelCase											=				TYPE_CONVERSION.get(lowercase					,	lowercase	)
			if new_from not in METRIC_CONVERSION:
						__lowerCAmelCase											=				(
						    f'Invalid \'from_type\' value: {from_type!r}.\n'
						    f'Conversion abbreviations are: {", ".join(lowercase	)}'
						)
						raise ValueError(lowercase	)
			if new_to not in METRIC_CONVERSION:
						__lowerCAmelCase											=				(
						    f'Invalid \'to_type\' value: {to_type!r}.\n'
						    f'Conversion abbreviations are: {", ".join(lowercase	)}'
						)
						raise ValueError(lowercase	)
			return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
	import doctest

	doctest.testmod()

