def compute_barray(sexpr, clevel, kernel):
# Uncomment the next for disabling threading
#blz.set_nthreads(1)
#blz.blosc_set_nthreads(1)
print("*** barray (using compression clevel = %d):" % clevel)
x = cx # comment this for using numpy arrays in inputs
t0 = time()
cout = blz.eval(sexpr, vm=kernel, bparams=blz.bparams(clevel))
print("Time for blz.eval (%s) --> %.3f" % (kernel, time()-t0,))
def compute_blz(sexpr, clevel, kernel):
# Uncomment the next for disabling threading
# Maybe due to some contention between Numexpr and Blosc?
# blz.set_nthreads(blz.ncores//2)
print "*** blz (using compression clevel = %d):" % clevel
if clevel > 0:
x, y, z = cx, cy, cz
t0 = time()
cout = blz.eval(sexpr, vm=kernel, bparams=blz.bparams(clevel))
print "Time for blz.eval (%s) --> %.3f" % (kernel, time()-t0,),
print ", cratio (out): %.1f" % (cout.nbytes / float(cout.cbytes))
def compute_blz(sexpr, clevel, kernel):
# Uncomment the next for disabling threading
# Maybe due to some contention between Numexpr and Blosc?
# blz.set_nthreads(blz.ncores//2)
print "*** blz (using compression clevel = %d):" % clevel
if clevel > 0:
x, y, z = cx, cy, cz
t0 = time()
cout = blz.eval(sexpr, vm=kernel, bparams=blz.bparams(clevel))
print "Time for blz.eval (%s) --> %.3f" % (
kernel,
time() - t0,
),
print ", cratio (out): %.1f" % (cout.nbytes / float(cout.cbytes))
t0 = time()
c = blz.barray(rootdir='myarray')
print "time open (disk) ->", round(time()-t0, 3)
#print "meta (disk):", c.read_meta()
print "data (disk):", repr(c)
t0 = time()
print sum(ac)
print "time sum (memory, iter) ->", round(time()-t0, 3)
t0 = time()
print sum(c)
print "time sum (disk, iter) ->", round(time()-t0, 3)
t0 = time()
print blz.eval('sum(ac)')
print "time sum (memory, eval) ->", round(time()-t0, 3)
t0 = time()
print blz.eval('sum(c)')
print "time sum (disk, eval) ->", round(time()-t0, 3)
t0 = time()
print ac.sum()
print "time sum (memory, method) ->", round(time()-t0, 3)
t0 = time()
print c.sum()
print "time sum (disk, method) ->", round(time()-t0, 3)
t0 = time()
