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import sys
from random import random
from operator import add
from pyspark import SparkContext
if __name__ == "__main__":
if len(sys.argv) == 1:
print >> sys.stderr, \
"Usage: PythonPi <master> [<slices>]"
exit(-1)
sc = SparkContext(sys.argv[1], "PythonPi")
slices = int(sys.argv[2]) if len(sys.argv) > 2 else 2
n = 100000 * slices
def f(_):
x = random() * 2 - 1
y = random() * 2 - 1
return 1 if x ** 2 + y ** 2 < 1 else 0
count = sc.parallelize(xrange(1, n+1), slices).map(f).reduce(add)
print "Pi is roughly %f" % (4.0 * count / n)
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