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This adds the unique spras_revision to every single paramater combination (before hashing) and the dataset label, to provide OSDF support on the level of deterministic algorithms.
we also make it lazy
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whoops! accidentally feature-regressed
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Would you be able to explain what the goal and what the changes are of this PR in the top comment? Also why does this depend on SPRAS revision? |
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I've edited the top comment to mention the heuristics PR 👍, though the motivation was already present. As mentioned in the meeting and in the top-level comment, this depends on the integration testing part of the SPRAS revision and not the immutability section. |
what is going on in ci???
okay - sysconfig.get_path("purelib") is correct
we need better typing :/
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We also make graph statistics lazy. Laziness isn't used in
summary.py, but I assume that we'll have more computationally expensive graph statistics as SPRAS develops, especially when it can take long to compute for our larger graphs, so this also splits up statistic generation into different rules.Most importantly, this allows us to re-use statistics by consuming specific statistics as input files, which is currently used in #431.