There is a way to reduce the variance, instead of evaluating at the end i.e
print((pcq/prq).evalf()) evaluate the random points in the beginning
itself
p = c1.random_point().evalf()
q = c1.random_point().evalf()
r = c1.random_point().evalf()
Using the above method i get the values with a variance of 0.01 (1.99-2.01)
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