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docs: refresh roadmap (#20)
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Performance architecture: measure, then optimise (#19)
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docs: record the 0.2.0 Zenodo DOI
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Prepare the 0.2.0 release
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build: cover markdown with the ruff format hook
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Add multi-value QCA with direct cube minimisation (#18)
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Make the truth table a reusable analytical object (#17)
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Expand calibration into a first-class subsystem (#16)
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Add robustness and sensitivity analysis (#15)
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Add unique coverage and case-level sufficiency diagnostics (#14)
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Add systematic necessity analysis (#13)
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Expose the prime implicant chart and its diagnostics (#12)
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Complete intermediate solution minimisation (#11)
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Add a first-class configurational expression system (#10)
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Audit and stabilise the mathematical core (#9)
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Add R QCA parity fixtures and verify the mathematical core against them
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Record the Zenodo DOI and unstick the PyPI badges
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Upgrade the development toolchain
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Bump the remaining GitHub Actions to current majors
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Bump actions/checkout from 4 to 7 (#4)
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Make truth-table typing independent of the installed numpy
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Prepare the 0.1.0 release
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Initial commit: setqca 0.1.0
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