DbxDev
commented
4 years ago The resulting expression has a LeafCount above one million. It certainly takes some time to deserialize even if 50s seems a little long. In order to help you getting a better experience with the library, I need to understand the next step. What will you do with such a big Wolfram Language expression?
If you plan to use it in a subsequent evaluation, just store it in a variable and use it directly (don't forget the semicolon). This will prevent the entire expression to round trip. The second command becomes:
_ = 'result = D[Log[{}], {{{{Global`thetatheta1, Global`thetatheta2, Global`thetasigma1, Global`thetasigma2, Global`thetasigma3, Global`thetarho12, Global`thetarho13, Global`thetarho23g1}}, 2}}];'.format(_)You can also store the result somewhere, in which case I recommend to Export the intermediary variable above, directly from the kernel:
with w_evaluation.WolframLanguageSession(kernel=KERNEL_PATH) as session:
session.evaluate(_)
session.evaluate(wl.Export('/tmp/test.wxf', wl.Global.result, "WXF"))It'll create a new file /tmp/test.wxf with the resulting expression. It can be later loaded using Import["/tmp/test.wxf"].
notEvil
Consider the following
In the profile I see 50.4s in session.evaluate and 49.9s in binary_deserialize. I assume there is not much asynchronous execution, so timing should be correct. Is there any chance to speed things up? In this case, the result is composed of many similar sub expressions (due to chain rule) which could be cached in transmission.