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[Custom Issue]: Post-processing - Refactor internal representation of vernier data for better thread/rank representation #232

@EdHone

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Currently the internal representation of a vernier calliper's data is a python list of length n_ranks. Each calliper had the thread ID baked in, so threading information is preserved that way.

This issue will refactor that representation such that a calliper's data is numpy array of shape (n_ranks, n_threads)

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PostprocessingRelated to the development of postprocessing functionalityenhancementNew feature or request

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