Chris wrote:
> This is just some dummy code to mimic what's being done in the real
> code. The actual code is python which is used as a scripting language in
> a third party app. The data structure returned by the app is more or
> less like the "data" list in the code below. The test for "ELEMENT" is
> necessary ... it just evaluates to true every time in this test code. In
> the real app perhaps 90% of tests will also be true.
>
> So my question is how can I speed up what's happening inside the
> function write_data()? Only allowed to use vanilla python (no psycho or
> other libraries outside of a vanilla python install).
>
> I have a vested interest in showing a colleague that a python app can
> yield results in a time comparable to his C-app, which he feels is mch
> faster. I'd like to know what I can do within the constraints of the
> python language to get the best speed possible. Hope someone can help.
>
> def write_data1(out, data):
> for i in data:
> if i[0] is 'ELEMENT':
> out.write("%s %06d " % (i[0], i[1]))
> for j in i[2]:
> out.write("%d " % (j))
> out.write("\n")
>
> import timeit
>
> # basic data mimicing data returned from 3rd party app
> data = []
> for i in range(500000):
> data.append(("ELEMENT", i, (1,2,3,4,5,6)))
>
> # write data out to file
> fname = "test2.txt"
> out = open(fname,'w')
> start= timeit.time.clock()
> write_data2(out, data)
> out.close()
> print timeit.time.clock()-start
>
>
with this function I went from 8.04 s to 6.61 s. Now running up against
my limited knowledge of python. Any chance of getting faster?
def write_data4(out, data):
for i in data:
if i[0] is 'ELEMENT':
strx = "%s %06d " % (i[0], i[1])
strx="".join([strx] + ["%d " % (j) for j in i[2]] + "\n"])
out.write(strx)
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