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* update on how uncertainty dialogue is opened * further improvements on uncertainty dialogue * reworking the uncertainty dialogue to be re-based on stats_arrays * making uncertainties viewable even if in read-only mode * making the uncertainty dialogue plots faster * switching to analytical plots in uncertainty dialog (as this is faster, but it requires scipy * adding uncertainty_pdf_preview.py to the repo * adding uncertainty dialogue for parameterized exchanges section * fixing bugs when duplicating impact categories: datapackage was not written * Bringing back parameters in Monte Carlo LCA (AI assisted) * Adding tests for Monte Carlo LCA (AI assisted)
* update on how uncertainty dialogue is opened * further improvements on uncertainty dialogue * reworking the uncertainty dialogue to be re-based on stats_arrays * making uncertainties viewable even if in read-only mode * making the uncertainty dialogue plots faster * switching to analytical plots in uncertainty dialog (as this is faster, but it requires scipy * adding uncertainty_pdf_preview.py to the repo * adding uncertainty dialogue for parameterized exchanges section * fixing bugs when duplicating impact categories: datapackage was not written * Bringing back parameters in Monte Carlo LCA (AI assisted) * Adding tests for Monte Carlo LCA (AI assisted) * Bringing back GSA
* including TODO to remove patch as soon bw upstream has fixed the issue * adding files/folders to .gitignore * including tests for GSA (AI based) * Improvements for GSA, including plot, better export, and cleaner UI
* Better uncertainty fields for flows, parameters, and CFs * Repaired exports in LCA results (including filename, Sankey/Tree) * Simplified GSA export. Also, index is now the same order in inputs and outputs. * Set lca.keep_first_iteration_flag to False. It did not make sense if stochastic and deterministic values were in different orders of magnitude, so now it is consistently sampled data. * Figure sizing improvement for Monte Carlo plot * Large AI-supported modifications to LCA results plots, not yet completely reviewed yet; commit for now as checkpoint * Further improvements to LCA Results * Some more small improvements and restructuring * trying to relax numpy and pint * Removing seaborn as a dependency * Fixing tests * Fixing tests (1 still failing, now skipped)
…on errors on Windows
…tastore afterwards; also adding a warning on db with param export to bw2package
… delete (now bulk)
… identical reference flows in CS
…tegories upon delete or database delete
…ge label tooltip, open process)
Rebuild the cache when unpickling fails due to numpy 1.x vs 2.x internal module paths. Co-authored-by: Cursor <[email protected]>
…es (e.g. elementary flow name or deletion)
Mock QMessageBox.warning in the multi-selection test so automated runs do not hang waiting for user input. Co-authored-by: Cursor <[email protected]>
# Conflicts: # .gitignore # activity_browser/app/pages/calculation_setup/functional_unit_section.py # activity_browser/app/pages/impact_category_details/impact_category_details.py # activity_browser/app/pages/lca_results/LCA_results.py # activity_browser/app/pages/lca_results/plots.py # activity_browser/app/pages/parameters/parameterized_exchanges_section.py # activity_browser/bwutils/commontasks.py # activity_browser/bwutils/contribution_labels.py # activity_browser/bwutils/lcia_overview.py # activity_browser/bwutils/montecarlo.py # activity_browser/bwutils/multilca.py # activity_browser/bwutils/sensitivity_analysis.py # activity_browser/ui/widgets/abstract_navigator.py # activity_browser/ui/widgets/plot.py # pyproject.toml # recipe/meta.yaml # tests/test_lcia_overview.py # tests/test_reference_flow_labels.py
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Checklist
./activity_browser/docs/wikiIf you have write access (otherwise a maintainer will do this for you):
bug,feature,ui,change,documentation,breaking,cias they show up in the changelog.