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week12-1.py
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"""
import week12_test as test
radius = test.number_input()
print(test.get_circumference(radius))
print(test.get_circle_area(radius))
import week12test.module_a
import week12test.module_a as a
import week12test.module_b as b
print(a.variable_a)
print(b.variable_b)
from week12test import *
print(module_a.variable_a)
print(module_b.variable_b)
"""
from urllib import request
target = request.urlopen("data:image/jpeg;base64,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")
output = target.read()
print(output)
file = open("output.jpeg", "wb")
file.write(output)
file.close()