forked from numpy/numpy
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bench.py
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bench.py
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#! python
# encoding: utf-8
import timeit
#import IPython.ipapi
#ip = IPython.ipapi.get()
#from IPython import ipmagic
import numpy
#from numpy import ma
#from numpy.ma import filled
#from numpy.ma.testutils import assert_equal
#####---------------------------------------------------------------------------
#---- --- Global variables ---
#####---------------------------------------------------------------------------
# Small arrays ..................................
xs = numpy.random.uniform(-1,1,6).reshape(2,3)
ys = numpy.random.uniform(-1,1,6).reshape(2,3)
zs = xs + 1j * ys
m1 = [[True, False, False], [False, False, True]]
m2 = [[True, False, True], [False, False, True]]
nmxs = numpy.ma.array(xs, mask=m1)
nmys = numpy.ma.array(ys, mask=m2)
nmzs = numpy.ma.array(zs, mask=m1)
# Big arrays ....................................
xl = numpy.random.uniform(-1,1,100*100).reshape(100,100)
yl = numpy.random.uniform(-1,1,100*100).reshape(100,100)
zl = xl + 1j * yl
maskx = xl > 0.8
masky = yl < -0.8
nmxl = numpy.ma.array(xl, mask=maskx)
nmyl = numpy.ma.array(yl, mask=masky)
nmzl = numpy.ma.array(zl, mask=maskx)
#####---------------------------------------------------------------------------
#---- --- Functions ---
#####---------------------------------------------------------------------------
def timer(s, v='', nloop=500, nrep=3):
units = ["s", "ms", "µs", "ns"]
scaling = [1, 1e3, 1e6, 1e9]
print "%s : %-50s : " % (v,s),
varnames = ["%ss,nm%ss,%sl,nm%sl" % tuple(x*4) for x in 'xyz']
setup = 'from __main__ import numpy, ma, %s' % ','.join(varnames)
Timer = timeit.Timer(stmt=s, setup=setup)
best = min(Timer.repeat(nrep, nloop)) / nloop
if best > 0.0:
order = min(-int(numpy.floor(numpy.log10(best)) // 3), 3)
else:
order = 3
print "%d loops, best of %d: %.*g %s per loop" % (nloop, nrep,
3,
best * scaling[order],
units[order])
# ip.magic('timeit -n%i %s' % (nloop,s))
def compare_functions_1v(func, nloop=500,
xs=xs, nmxs=nmxs, xl=xl, nmxl=nmxl):
funcname = func.__name__
print "-"*50
print "%s on small arrays" % funcname
module, data = "numpy.ma","nmxs"
timer("%(module)s.%(funcname)s(%(data)s)" % locals(), v="%11s" % module, nloop=nloop)
#
print "%s on large arrays" % funcname
module, data = "numpy.ma","nmxl"
timer("%(module)s.%(funcname)s(%(data)s)" % locals(), v="%11s" % module, nloop=nloop)
return
def compare_methods(methodname, args, vars='x', nloop=500, test=True,
xs=xs, nmxs=nmxs, xl=xl, nmxl=nmxl):
print "-"*50
print "%s on small arrays" % methodname
data, ver = "nm%ss" % vars, 'numpy.ma'
timer("%(data)s.%(methodname)s(%(args)s)" % locals(), v=ver, nloop=nloop)
#
print "%s on large arrays" % methodname
data, ver = "nm%sl" % vars, 'numpy.ma'
timer("%(data)s.%(methodname)s(%(args)s)" % locals(), v=ver, nloop=nloop)
return
def compare_functions_2v(func, nloop=500, test=True,
xs=xs, nmxs=nmxs,
ys=ys, nmys=nmys,
xl=xl, nmxl=nmxl,
yl=yl, nmyl=nmyl):
funcname = func.__name__
print "-"*50
print "%s on small arrays" % funcname
module, data = "numpy.ma","nmxs,nmys"
timer("%(module)s.%(funcname)s(%(data)s)" % locals(), v="%11s" % module, nloop=nloop)
#
print "%s on large arrays" % funcname
module, data = "numpy.ma","nmxl,nmyl"
timer("%(module)s.%(funcname)s(%(data)s)" % locals(), v="%11s" % module, nloop=nloop)
return
###############################################################################
################################################################################
if __name__ == '__main__':
# # Small arrays ..................................
# xs = numpy.random.uniform(-1,1,6).reshape(2,3)
# ys = numpy.random.uniform(-1,1,6).reshape(2,3)
# zs = xs + 1j * ys
# m1 = [[True, False, False], [False, False, True]]
# m2 = [[True, False, True], [False, False, True]]
# nmxs = numpy.ma.array(xs, mask=m1)
# nmys = numpy.ma.array(ys, mask=m2)
# nmzs = numpy.ma.array(zs, mask=m1)
# mmxs = maskedarray.array(xs, mask=m1)
# mmys = maskedarray.array(ys, mask=m2)
# mmzs = maskedarray.array(zs, mask=m1)
# # Big arrays ....................................
# xl = numpy.random.uniform(-1,1,100*100).reshape(100,100)
# yl = numpy.random.uniform(-1,1,100*100).reshape(100,100)
# zl = xl + 1j * yl
# maskx = xl > 0.8
# masky = yl < -0.8
# nmxl = numpy.ma.array(xl, mask=maskx)
# nmyl = numpy.ma.array(yl, mask=masky)
# nmzl = numpy.ma.array(zl, mask=maskx)
# mmxl = maskedarray.array(xl, mask=maskx, shrink=True)
# mmyl = maskedarray.array(yl, mask=masky, shrink=True)
# mmzl = maskedarray.array(zl, mask=maskx, shrink=True)
#
compare_functions_1v(numpy.sin)
compare_functions_1v(numpy.log)
compare_functions_1v(numpy.sqrt)
#....................................................................
compare_functions_2v(numpy.multiply)
compare_functions_2v(numpy.divide)
compare_functions_2v(numpy.power)
#....................................................................
compare_methods('ravel','', nloop=1000)
compare_methods('conjugate','','z', nloop=1000)
compare_methods('transpose','', nloop=1000)
compare_methods('compressed','', nloop=1000)
compare_methods('__getitem__','0', nloop=1000)
compare_methods('__getitem__','(0,0)', nloop=1000)
compare_methods('__getitem__','[0,-1]', nloop=1000)
compare_methods('__setitem__','0, 17', nloop=1000, test=False)
compare_methods('__setitem__','(0,0), 17', nloop=1000, test=False)
#....................................................................
print "-"*50
print "__setitem__ on small arrays"
timer('nmxs.__setitem__((-1,0),numpy.ma.masked)', 'numpy.ma ',nloop=10000)
print "-"*50
print "__setitem__ on large arrays"
timer('nmxl.__setitem__((-1,0),numpy.ma.masked)', 'numpy.ma ',nloop=10000)
#....................................................................
print "-"*50
print "where on small arrays"
timer('numpy.ma.where(nmxs>2,nmxs,nmys)', 'numpy.ma ',nloop=1000)
print "-"*50
print "where on large arrays"
timer('numpy.ma.where(nmxl>2,nmxl,nmyl)', 'numpy.ma ',nloop=100)