

from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import array, dot, pad, ravel, uinta, zeros


def 				_a       (				lowerCAmelCase						,	lowerCAmelCase   )->  Optional[Any]:
		SCREAMING_SNAKE_CASE_			,							SCREAMING_SNAKE_CASE_							=       image.shape
		SCREAMING_SNAKE_CASE_							=       cols - block_size[1] + 1
		SCREAMING_SNAKE_CASE_							=       rows - block_size[0] + 1
		SCREAMING_SNAKE_CASE_							=       zeros((dst_height * dst_width, block_size[1] * block_size[0])   )
		SCREAMING_SNAKE_CASE_							=       0
		for i in range(0						,	lowerCAmelCase   ):
				for j in range(0						,	lowerCAmelCase   ):
						SCREAMING_SNAKE_CASE_							=       ravel(image[i : i + block_size[0], j : j + block_size[1]]   )
						SCREAMING_SNAKE_CASE_							=       window
						row += 1

		return image_array


def 				_a       (				lowerCAmelCase						,	lowerCAmelCase   )->  str:
		SCREAMING_SNAKE_CASE_			,							SCREAMING_SNAKE_CASE_							=       image.shape[0], image.shape[1]
		SCREAMING_SNAKE_CASE_							=       filter_kernel.shape[0]
		SCREAMING_SNAKE_CASE_							=       k_size // 2
		# Pads image with the edge values of array.
		SCREAMING_SNAKE_CASE_							=       pad(lowerCAmelCase						,	lowerCAmelCase						,	mode='edge'   )

		# im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
		SCREAMING_SNAKE_CASE_							=       imacol(lowerCAmelCase						,	(k_size, k_size)   )

		#  turn the kernel into shape(k*k, 1)
		SCREAMING_SNAKE_CASE_							=       ravel(lowerCAmelCase   )
		# reshape and get the dst image
		SCREAMING_SNAKE_CASE_							=       dot(lowerCAmelCase						,	lowerCAmelCase   ).reshape(lowerCAmelCase						,	lowerCAmelCase   )
		return dst


if __name__ == "__main__":
						# read original image
						SCREAMING_SNAKE_CASE:    List[str]											=   imread(r'''../image_data/lena.jpg''')
						# turn image in gray scale value
						SCREAMING_SNAKE_CASE:    Optional[Any]											=   cvtColor(img, COLOR_BGR2GRAY)
						# Laplace operator
						SCREAMING_SNAKE_CASE:    List[str]											=   array([[0, 1, 0], [1, -4, 1], [0, 1, 0]])
						SCREAMING_SNAKE_CASE:    List[str]											=   img_convolve(gray, Laplace_kernel).astype(uinta)
						imshow('''Laplacian''', out)
						waitKey(0)





SCREAMING_SNAKE_CASE:    Optional[Any]											=   [0.33, 0.44, 0.55, 0.44, 0.33]
SCREAMING_SNAKE_CASE:    int											=   3
SCREAMING_SNAKE_CASE:    str											=   5

# Buffer Space (with Parameters Space)
SCREAMING_SNAKE_CASE:    list[float]											=   []
SCREAMING_SNAKE_CASE:    list[float]											=   []

# Machine Time
SCREAMING_SNAKE_CASE:    str											=   0


def 				_a       (				lowerCAmelCase   )->  int:
		global buffer_space, params_space, machine_time, K, m, t

		# Choosing Dynamical Systems (All)
		for key, value in enumerate(lowerCAmelCase   ):
				# Evolution Parameter
				SCREAMING_SNAKE_CASE_							=       float(seed / value   )

				# Control Theory: Orbit Change
				SCREAMING_SNAKE_CASE_							=       (buffer_space[(key + 1) % m] + e) % 1

				# Control Theory: Trajectory Change
				SCREAMING_SNAKE_CASE_							=       (params_space[key] + e) % 1 + 3

				# Modification (Transition Function) - Jumps
				SCREAMING_SNAKE_CASE_							=       round(float(r * value * (1 - value)   )						,	10   )
				SCREAMING_SNAKE_CASE_							=       r  # Saving to Parameters Space

		# Logistic Map
		assert max(lowerCAmelCase   ) < 1
		assert max(lowerCAmelCase   ) < 4

		# Machine Time
		machine_time += 1


def 				_a       (				)->  int:
		global buffer_space, params_space, machine_time, K, m, t

		# PRNG (Xorshift by George Marsaglia)
		def xorshift(lowerCAmelCase						,	lowerCAmelCase   ):
				x ^= y >> 13
				y ^= x << 17
				x ^= y >> 5
				return x

		# Choosing Dynamical Systems (Increment)
		SCREAMING_SNAKE_CASE_							=       machine_time % m

		# Evolution (Time Length)
		for _ in range(0						,	lowerCAmelCase   ):
				# Variables (Position + Parameters)
				SCREAMING_SNAKE_CASE_							=       params_space[key]
				SCREAMING_SNAKE_CASE_							=       buffer_space[key]

				# Modification (Transition Function) - Flow
				SCREAMING_SNAKE_CASE_							=       round(float(r * value * (1 - value)   )						,	10   )
				SCREAMING_SNAKE_CASE_							=       (machine_time * 0.0_1 + r * 1.0_1) % 1 + 3

		# Choosing Chaotic Data
		SCREAMING_SNAKE_CASE_							=       int(buffer_space[(key + 2) % m] * (10**10)   )
		SCREAMING_SNAKE_CASE_							=       int(buffer_space[(key - 2) % m] * (10**10)   )

		# Machine Time
		machine_time += 1

		return xorshift(lowerCAmelCase						,	lowerCAmelCase   ) % 0xFFFF_FFFF


def 				_a       (				)->  Optional[Any]:
		global buffer_space, params_space, machine_time, K, m, t

		SCREAMING_SNAKE_CASE_							=       K
		SCREAMING_SNAKE_CASE_							=       [0] * m
		SCREAMING_SNAKE_CASE_							=       0


if __name__ == "__main__":
						# Initialization
						reset()

						# Pushing Data (Input)
						import random

						SCREAMING_SNAKE_CASE:    List[Any]											=   random.sample(range(0xff_ff_ff_ff), 1_0_0)
						for chunk in message:
												push(chunk)

						# for controlling
						SCREAMING_SNAKE_CASE:    List[str]											=   ''''''

						# Pulling Data (Output)
						while inp in ("e", "E"):
												print(f"""{format(pull(), '#04x')}""")
												print(buffer_space)
												print(params_space)
												SCREAMING_SNAKE_CASE:    List[Any]											=   input('''(e)exit? ''').strip()