def strange_move_to(target_x, target_y, duration=1.5):

    start_x, start_y = pyautogui.position()

    dist = math.hypot(target_x - start_x, target_y - start_y)

    # Random offset range based on distance (adjust for wilder curves)
    offset_scale = dist * 0.5

    # Control Point 1: (This will be a curve controller)
    p1_x = start_x + (target_x - start_x) * 0.3 + random.uniform(-offset_scale, offset_scale)
    p1_y = start_y + (target_y - start_y) * 0.3 + random.uniform(-offset_scale, offset_scale)

    # Control Point 2
    p2_x = start_x + (target_x - start_x) * 0.7 + random.uniform(-offset_scale, offset_scale)
    p2_y = start_y + (target_y - start_y) * 0.7 + random.uniform(-offset_scale, offset_scale)

    steps = int(duration * 60) # You can tinker with this if you want. I am choosing 60 it/s since it looks more smooth and human. You may wanna alternate this with some more noise to make it even more realistic.

    for i in range(steps + 1):
        t = i / steps # t goes from 0.0 to 1.0 (basically a parametric equation)

        # Cubic Bezier Formula:
        # B(t) = (1-t)^3*P0 + 3(1-t)^2*t*P1 + 3(1-t)*t^2*P2 + t^3*P3

        # Base calculation
        u = 1 - t
        tt = t * t
        uu = u * u
        uuu = uu * u
        ttt = tt * t

        bx = (uuu * start_x) + (3 * uu * t * p1_x) + (3 * u * tt * p2_x) + (ttt * target_x)
        by = (uuu * start_y) + (3 * uu * t * p1_y) + (3 * u * tt * p2_y) + (ttt * target_y)

        noise_magnitude = 2 * (1 - t)
        noise_x = random.gauss(0, noise_magnitude)
        noise_y = random.gauss(0, noise_magnitude)

        final_x = bx + noise_x
        final_y = by + noise_y

        pyautogui.moveTo(final_x, final_y, _pause=False)

        time.sleep(duration / steps)

# --- Example Usage ---
if __name__ == "__main__":
    strange_move_to(500, 500, duration=2.0)
    strange_move_to(100, 100, duration=1.0)