def pi(n): #4
"""
Calculation of pi with Monte Carlo Simulation.
n is the number of iterations.
"""
return plain_pi.piPlain(n)
def handlePiPost(request): #3
n = int(float(request.args['n'][0])) #4
start = timeit.default_timer()
pi = plain_pi.piPlain(n) #5
duration = timeit.default_timer() - start
request.write('''
<html>
<head><title>Pi with Twisted</title></head>
<body>
<h1>
Twisted - Result of Monte Carlo Calculation of Pi
</h1>
<table>
<tr>
<td>Number of iterations</td>
<td>%d</td>
</tr>
<tr>
<td>Pi by Monte Carlo Method</td>
<td>%15.12f </td>
</tr>
<tr>
<td>Exact pi</td>
<td>%15.12f </td>
</tr>
<td>Calculation time</td>
<td>%15.3f seconds</td>
</tr>
</table>
</body>
</html>
''' %(n, pi, math.pi, duration)) #6
request.finish()
def xmlrpc_pi(self, n): #4
return plain_pi.piPlain(n)
def remote_pi(self, n): #3
return plain_pi.piPlain(n)
<td>%15.12f </td>
</tr>
<tr>
<td>Exact pi</td>
<td>%15.12f </td>
</tr>
<td>Calculation time</td>
<td>%15.3f seconds</td>
</tr>
</tr>
<td>Calculation parallel</td>
<td>%s</td>
</tr>
</table>
</body>
</html>
'''
start = timeit.default_timer()
if parallel == 'no':
pi = plain_pi.piPlain(n) #8
else:
pi_maker = pithreaded.PiMaker(n, 2)
pi = pi_maker.calculate_pi(pithreaded.ThreadedPi)
duration = timeit.default_timer() - start
print template %(n, pi, math.pi, duration, parallel) #9
def soap_pi(self, n): #3
return plain_pi.piPlain(n)