[BWARE] Track more compressed-friendly ops in FederatedWorkloadAnalyzer#2481
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Baunsgaard wants to merge 2 commits into
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[BWARE] Track more compressed-friendly ops in FederatedWorkloadAnalyzer#2481Baunsgaard wants to merge 2 commits into
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #2481 +/- ##
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+ Coverage 71.37% 71.42% +0.04%
- Complexity 48749 48830 +81
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Files 1571 1572 +1
Lines 188912 189109 +197
Branches 37067 37106 +39
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+ Hits 134845 135064 +219
+ Misses 43601 43579 -22
Partials 10466 10466 ☔ View full report in Codecov by Harness. 🚀 New features to boost your workflow:
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Extends the federated workload counter so that compression decisions account for additional instruction shapes beyond AggregateBinary. - Pass the right-hand column count to incOverlappingDecompressions so the cost model reflects the actual decompression size rather than counting a single column - Count MMChainCPInstruction as one LMM and one RMM contribution per invocation - Count AggregateUnaryCPInstruction: when reducing columns with a sum/mean operator, treat it as a dict-op (compression-friendly); otherwise count it as a decompression - Minor formatting cleanup in compressRun
Cover the instruction-shape branches in incrementWorkload that drive federated compression decisions, which previously had no direct tests: - AggregateBinary: RMM/LMM counting, overlapping-decompress sizing by the right-hand column count, and the validSize row/column guards - MMChain: one LMM and one RMM contribution per invocation - AggregateUnary: dict-op vs decompression classification across ReduceAll/ReduceRow/ReduceCol with sum, mean, product, and max operators - Instance-level dispatch and compressRun threshold behavior, asserting async compression materializes when the cost model would compress
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Extends the federated workload counter so that compression decisions account for additional instruction shapes beyond AggregateBinary.