def main(argv):
emvm_results = []
py_results = []
sizes = (1, 10, 100, 1000, 10000, 100000, 1000000)
for size in sizes:
arr = np.array(np.random.random_integers(1, 100, size), dtype='int64')
print "array size:", size
emvm_result = stopwatch(
lambda: br.emvm_count_predicate(
is_prime,
arr,
[is_prime_recursive]))
emvm_results.append(emvm_result)
print "emvm:", emvm_result
py_result = stopwatch(lambda: prime_count_py(arr))
py_results.append(py_result)
print "py:", py_result
print ""
pyplot.plot(sizes, emvm_results, label="EMVM")
pyplot.plot(sizes, py_results, label="Python")
pyplot.title("Performance comparison: EMVM vs. Python")
pyplot.xlabel("Input size")
pyplot.ylabel("Runtime (seconds, lower is better)")
pyplot.legend()
pyplot.savefig("emvm_vs_py_results.pdf")
pyplot.savefig("emvm_vs_py_results.png")
pyplot.show()
return 0
def main(argv):
emvm_results = []
py_results = []
sizes = (1, 10, 100, 1000, 10000, 100000, 1000000)
for size in sizes:
arr = np.array(np.random.random_integers(1, 100, size), dtype='int64')
print "array size:", size
emvm_result = stopwatch(lambda: br.emvm_count_predicate(
is_prime, arr, [is_prime_recursive]))
emvm_results.append(emvm_result)
print "emvm:", emvm_result
py_result = stopwatch(lambda: prime_count_py(arr))
py_results.append(py_result)
print "py:", py_result
print ""
pyplot.plot(sizes, emvm_results, label="EMVM")
pyplot.plot(sizes, py_results, label="Python")
pyplot.title("Performance comparison: EMVM vs. Python")
pyplot.xlabel("Input size")
pyplot.ylabel("Runtime (seconds, lower is better)")
pyplot.legend()
pyplot.savefig("emvm_vs_py_results.pdf")
pyplot.savefig("emvm_vs_py_results.png")
pyplot.show()
return 0
def testCountPredicate(self):
arr = np.array([0, 1, 3, 5, 10], dtype='int64')
self.assertEquals(3, br.emvm_count_predicate(is_odd, arr),
"Incorrect odd count")
def testCountPredicate(self):
arr = np.array([0, 1, 3, 5, 10], dtype='int64')
self.assertEquals(
3,
br.emvm_count_predicate(is_odd, arr),
"Incorrect odd count")