This patch teaches llvm-profdata to output the sample profile in the
JSON format. The new option is intended to be used for research and
development purposes. For example, one can write a Python script to
take a JSON file and analyze how similar different inline instances of
a given function are to each other.
I've chosen JSON because Python can parse it reasonably fast, and it
just takes a couple of lines to read the whole data:
import json with open ('profile.json') as f: profile = json.load(f)
too many nesting levels. Perhaps split out the lamda?