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Computing bounds on a confidence interval

I have written a very simple program that generates a random number from a normal distribution.
import random
def generate_test_tuple():
low = 2.5
high = 3.5
lower = (low-5*random.randint(0,1))*random.randint(0,1)
upper = (high+5*random.randint(0,1))*random.randint(0,1)
return lower, upper

print generate_test_tuple()

Now, I have two questions

I am supposed to compute the following bounds:

bounds = [2.5,3.5]

But how? All I see from this syntax is that:

bounds = (low-5*random.randint(0,1))*random.randint(0,1)

What I see is that it is just computing a random number from the lower bound to the upper bound. Could someone please show me the whole process of how we get the bounds from this?

What I think I am missing in my understanding is that I am missing the upper bound.

You seem to be misunderstanding the operation of randint and random.int. randint returns an integer in a given range, while random.int returns an integer from the range specified, and both methods return a random integer.
In your case, you can use randint and random.random instead:
def generate_test_tuple():
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