<jupyter_start><jupyter_text>![](Assets/star_1_0.png)<jupyter_code># %load star_1_0.py
import turtle
import time
screen=turtle.Screen()
screen.setup(420,320)
screen.bgcolor('black')
clr=['red','green','blue','yellow','purple']
t = turtle.Pen()
t.ht()
for x in range(5):
    t.color(clr[x])
    t.forward(200)
    t.right(144)
turtle.Screen().exitonclick()<jupyter_output><empty_output><jupyter_text>![](Assets/star_1_1.png)<jupyter_code># %load star_1_1.py
import turtle
import time
screen=turtle.Screen()
screen.setup(420,320)
screen.bgcolor('black')
clr=['red','green','blue','yellow','purple']
t=turtle.Turtle()
t.pensize(4)
t.penup()
t.setpos(-90,30)
t.pendown()
for x in range(5):
    t.color(clr[x])
    t.forward(200)
    t.right(144)
t.penup()
t.setpos(80,-140)
t.pendown()
t.pencolor('olive')
t.write('<NAME>',font=('Arial',12,'normal'))
t.ht()
turtle.Screen().exitonclick()
import turtle
import time
screen=turtle.Screen()
screen.setup(420,320)
t = turtle.Pen()
t.ht()
for x in range(100):
    t.forward(x)
    t.left(91)
turtle.Screen().exitonclick()
# %load cool_design.py
import turtle
t=turtle.Turtle()
s=turtle.Screen()
s.bgcolor('black')
t.pencolor('blue')
t.speed(0)
c=0
while True:
    for i in range(4):
        t.forward(80)
        t.right(90)
    t.right(5)
    c+=1
    if c>=360/5:
        break
t.hideturtle()
turtle.done()<jupyter_output><empty_output><jupyter_text>![](cool_design_1_1)<jupyter_code># %load cool_design_1_1.py
import turtle
t=turtle.Turtle()
s=turtle.Screen()
s.bgcolor('black')
t.pencolor('blue')
t.speed(0)
c=0
d=0
while True:
    for i in range(4):
        t.forward(80)
        t.right(90)
    t.right(15)
    c+=1
    if c>=390/15:
        t.forward(50)
        c=0
        d+=1
        if d>=21:
            break
t.hideturtle()
turtle.done()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.19330038440417352, 'fraction_numerical': 0.05271828665568369, 'mean_word_length': 4.296511627906977, 'pattern_counts': {'":': 0, '<': 14, '<?xml version=': 0, '>': 17, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '362713', 'license': 'MIT', 'n_tokens_mistral': 867, 'n_tokens_neox': 778, 'n_words': 123, 'path': 'modules/Turtle/star.ipynb', 'repo_name': 'Dhaneshgupta1027/Python', 'size': '1827'}