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import timeit, numpy
array_size = 1e6
iterations = 10
def compare_times(setup, expr):
print "Expression:", expr
namespace = {}
exec setup in namespace
numpy_timer = timeit.Timer(expr, setup)
numpy_time = numpy_timer.timeit(number=iterations)
print 'numpy:', numpy_time / iterations
try:
weave_timer = timeit.Timer('blitz("result=%s")' % expr, setup)
weave_time = weave_timer.timeit(number=iterations)
print "Weave:", weave_time/iterations
print "Speed-up of weave over numpy:", numpy_time/weave_time
except:
print "Skipping weave timing"
numexpr_timer = timeit.Timer('evaluate("%s", optimization="aggressive")' % expr, setup)
numexpr_time = numexpr_timer.timeit(number=iterations)
print "numexpr:", numexpr_time/iterations
print "Speed-up of numexpr over numpy:", numpy_time/numexpr_time
return numpy_time/numexpr_time
setup1 = """\
from numpy import arange
try: from scipy.weave import blitz
except: pass
from numexpr import evaluate
result = arange(%f)
b = arange(%f)
c = arange(%f)
d = arange(%f)
e = arange(%f)
""" % ((array_size,)*5)
expr1 = 'b*c+d*e'
setup2 = """\
from numpy import arange
try: from scipy.weave import blitz
except: pass
from numexpr import evaluate
a = arange(%f)
b = arange(%f)
result = arange(%f)
""" % ((array_size,)*3)
expr2 = '2*a+3*b'
setup3 = """\
from numpy import arange, sin, cos, sinh
try: from scipy.weave import blitz
except: pass
from numexpr import evaluate
a = arange(2*%f)[::2]
b = arange(%f)
result = arange(%f)
""" % ((array_size,)*3)
expr3 = '2*a + (cos(3)+5)*sinh(cos(b))'
setup4 = """\
from numpy import arange, sin, cos, sinh, arctan2
try: from scipy.weave import blitz
except: pass
from numexpr import evaluate
a = arange(2*%f)[::2]
b = arange(%f)
result = arange(%f)
""" % ((array_size,)*3)
expr4 = '2*a + arctan2(a, b)'
setup5 = """\
from numpy import arange, sin, cos, sinh, arctan2, sqrt, where
try: from scipy.weave import blitz
except: pass
from numexpr import evaluate
a = arange(2*%f, dtype=float)[::2]
b = arange(%f, dtype=float)
result = arange(%f, dtype=float)
""" % ((array_size,)*3)
expr5 = 'where(0.1*a > arctan2(a, b), 2*a, arctan2(a,b))'
expr6 = 'where(a, 2, b)'
expr7 = 'where(a-10, a, 2)'
expr8 = 'where(a%2, b+5, 2)'
expr9 = 'where(a%2, 2, b+5)'
expr10 = 'a**2 + (b+1)**-2.5'
expr11 = '(a+1)**50'
expr12 = 'sqrt(a**2 + b**2)'
def compare(check_only=False):
total = 0
total += compare_times(setup1, expr1)
print
total += compare_times(setup2, expr2)
print
total += compare_times(setup3, expr3)
print
total += compare_times(setup4, expr4)
print
total += compare_times(setup5, expr6)
print
total += compare_times(setup5, expr7)
print
total += compare_times(setup5, expr8)
print
total += compare_times(setup5, expr9)
print
total += compare_times(setup5, expr10)
print
total += compare_times(setup5, expr11)
print
total += compare_times(setup5, expr12)
print
print "Average =", total / 11.0
return total
if __name__ == '__main__':
averages = []
for i in range(10):
averages.append(compare())
print "Averages:", ', '.join("%.2f" % x for x in averages)
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