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Fix parallel inventory calculation with dirty Brightway databases
Python 🐍 CI/CD tests
#315:
Pull request
#69
opened by
langeluca
3m 3s
langeluca:fix/clean-databases-before-parallel-workers
langeluca:fix/clean-databases-before-parallel-workers
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Codex/merge upstream 0.7
Python 🐍 CI/CD tests
#314:
Pull request
#67
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langeluca
1m 21s
langeluca:codex/merge-upstream-0.7
langeluca:codex/merge-upstream-0.7
1m 21s
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fix: migrate the methanol and iron case study to 0.7.0 unit semantics
Python 🐍 CI/CD tests
#313:
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f87ab39
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3m 14s
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main
3m 14s
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fix: migrate the methanol and iron case study to 0.7.0 unit semantics
Python 🐍 CI/CD tests
#312:
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905a0a5
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3m 53s
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Merge pull request #66 from RWTH-LTT/release/0.7.0
Python 🐍 CI/CD tests
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e86de3c
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4m 0s
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Release 0.7.0
Python 🐍 CI/CD tests
#310:
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#66
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3m 52s
release/0.7.0
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3m 52s
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Merge pull request #61 from RWTH-LTT/fix/lifetime-installation-semantics
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#309:
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e04daf0
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3m 42s
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3m 42s
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fix: amortize installation impacts over a unit's lifetime output
Python 🐍 CI/CD tests
#308:
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2m 15s
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fix: amortize installation impacts over a unit's lifetime output
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Merge pull request #65 from RWTH-LTT/release/0.6.0
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3m 15s
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Release 0.6.0
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Release 0.6.0
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#304:
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#65
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2m 42s
release/0.6.0
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fix: reshape the supply vector before aggregating the inventory
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fix: make UMFPACK an opt-in extra instead of a hard dependency
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fix: make the sparse solver dependency platform-conditional
Python 🐍 CI/CD tests
#301:
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3m 37s
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3m 37s
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perf: only factorize the technosphere matrix when it pays off
Python 🐍 CI/CD tests
#300:
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b9c66d6
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5m 30s
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5m 30s
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Merge pull request #64 from RWTH-LTT/perf/background-inventory
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#299:
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2m 21s
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perf: batch the background inventory and build the model from precomputed data
Python 🐍 CI/CD tests
#298:
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#64
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2m 50s
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perf: batch the background inventory and build the model from precomputed data
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#297:
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perf: batch the background inventory and build the model from precomputed data
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#296:
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2m 23s
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perf: batch the background inventory and build the model from precomputed data
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#295:
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2m 33s
perf/background-inventory
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perf: batch the background inventory and build the model from precomputed data
Python 🐍 CI/CD tests
#294:
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#64
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6m 26s
perf/background-inventory
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perf: batch the background inventory and build the model from precomputed data
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#293:
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2m 57s
perf/background-inventory
perf/background-inventory
2m 57s
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perf: batch the background inventory and build the model from precomputed data
Python 🐍 CI/CD tests
#292:
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#64
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2m 27s
perf/background-inventory
perf/background-inventory
2m 27s
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perf: batch the background inventory and build the model from precomputed data
Python 🐍 CI/CD tests
#291:
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#64
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2m 5s
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