[Python] Is there a way to convert a single LightGBM decision tree (decision rules) to Python...

I am trying to convert a single LightGBM decision tree i.e.

num_boost_round = 1


with

num_leaves = 16


to Python conditional statements. Is there a way to do this? I found a post on stackoverflow about doing this with the sklearn decision tree implementation, but that does not directly apply to my case.

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