Consider that following program.
import math
import random
def inside_unit_circle(point):
"""
Compute distance of point from origin
"""
distance = math.sqrt(point[0] ** 2 + point[1] ** 2)
return distance < 1
def estimate_mystery(num_trials):
"""
Main function
"""
num_inside = 0
for dumm_idx in range(num_trials):
new_point = [2 * random.random() - 1, 2 * random.random() - 1]
if inside_unit_circle(new_point):
num_inside += 1
return float(num_inside) / num_trials
print estimate_mystery(10000)
This program uses random.random()
to generates a random set of points that are uniformly distributed over the square with corners at
(1, 1) (−1, 1)
(1,−1) (−1,−1)
Here, being uniformly distribution means that each point in the square has an equal chance of being generated. The method then tests whether these points lie inside a unit circle.
As one increases the number of trials, the value returned by estimate_mystery
tends towards a specific value that has a simple expression involving a well-known constant. Enter this value as a math expression below. (Do not enter a floating point number.)