JezK
Edit File: bench.py
#!/usr/bin/env python3 import timeit import numpy ############################################################################### # 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), end=' ') 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])) def compare_functions_1v(func, nloop=500, xs=xs, nmxs=nmxs, xl=xl, nmxl=nmxl): funcname = func.__name__ print("-"*50) print(f'{funcname} on small arrays') 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(f'{methodname} on small arrays') data, ver = f'nm{vars}l', '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(f'{funcname} on small arrays') module, data = "numpy.ma", "nmxs,nmys" timer("%(module)s.%(funcname)s(%(data)s)" % locals(), v="%11s" % module, nloop=nloop) print(f'{funcname} on large arrays') module, data = "numpy.ma", "nmxl,nmyl" timer("%(module)s.%(funcname)s(%(data)s)" % locals(), v="%11s" % module, nloop=nloop) return if __name__ == '__main__': 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)