Modify this code so the pattern is drawn as on picture in Robolab Jupyte Notebook:

$\%\%$sim$\_$magic$\_$preloaded $-$Cp $-$b Grey$\_$bands $-$x $100-$y $350-$a $0$

STEERING $=-100$

TURN$\_$ROTATIONS $=1\mathrm{.}6$

TURN$\_$SPEED $=10$

STRAIGHT$\_$SPEED$\_$PC $=$ SpeedPercent$(50)$

STRAIGHT$\_$ROTATIONS $=4$

import time

# Function to move the robot forward until a change in background color is detected

def move$\_$forward$\_$until$\_$color$\_$change$()$:

while previous$\_$value $>0$:

current$\_$value $=$ colorLeft.reflected$\_$light$\_$intensity$\_$pc

if previous$\_$value$==100$ and current$\_$value $<mtext></mtext><mn>1</mn><mn>0</mn><mn>0</mn>$:

break

# Move the robot forward

tank$\_$drive.on$($SpeedPercent$(15),$ SpeedPercent$(15))$

time.sleep$(0\mathrm{.}1)$ # Small delay to avoid busy$-$waiting

# Function to turn the robot by a specified amount in a specified direction

while previous$\_$value $>0$:

current$\_$value $=$ colorLeft.reflected$\_$light$\_$intensity$\_$pc

if sensor val $<mtext></mtext><mn>1</mn><mn>0</mn><mn>0</mn>$:

tank$\_$turn.on$\_$for$\_$rotations$($STEERING$,$

SpeedPercent$($TURN$\_$SPEED$),$

TURN$\_$ROTATIONS$)$ # Placeholder for actual turn method

elif direction $==100$:

tank$\_$drive.on$\_$for$\_$rotations$($SpeedPercent$(35),$ SpeedPercent$(50),8\mathrm{.}5)$

# Placeholder for actual turn method

time.sleep$(0\mathrm{.}1)$

# Main program

while previous$\_$value $>0$ :

current$\_$value $=$ colorLeft.reflected$\_$light$\_$intensity$\_$pc # Move forward until a color change is detected

if sensor$\_$val $==0$: # Assuming a method to detect the black line

tank$\_$drive.on$\_$for$\_$rotations$($SpeedPercent$(35),$ SpeedPercent$(100),13\mathrm{.}7)$ # Draw a circle and end the program

break

tank$\_$turn.on$\_$for$\_$rotations$(-100,$ SpeedPercent$(52),0)$

#Forwards

tank$\_$drive.on$\_$for$\_$rotations$($SpeedPercent$(60),$ SpeedPercent$(60),2)$

# Alternate the direction of turn after each color change

# Adjust direction and amount as needed

previous$\_$value $=$ current$\_$value