{ "schema_version": 2, "baseline_revision": "69dd5f0625bbf36822c7d7db3f0685d3da299367", "scope": "All baseline definitions through the v2 naming and module migration, calibration replacement, and stage-4 options/results/error contracts. Null current names mark removal/replacement, not an automatic rename. Replacement operations can require rewritten inputs. See calibration-structure-map.json for calibration signatures and fields, and the migration guide for the September 2026 runtime hardening. Private inventory entries are not supported public APIs.", "definitions": [ { "old": "pystra.analysis.AnalysisObject", "current": "pystra.reliability.analysis.AnalysisObject", "kind": "class", "status": "unchanged" }, { "old": "pystra.analysis.AnalysisObject.__init__", "current": "pystra.reliability.analysis.AnalysisObject.__init__", "kind": "callable", "status": "unchanged", "keyword_renames": { "stochastic_model": "model", "analysis_options": "options", "limitstate": "limit_state" }, "positional_limit": 3 }, { "old": "pystra.analysis.AnalysisObject.init_run", "current": "pystra.reliability.analysis.AnalysisObject.init_run", "kind": "callable", "status": "unchanged" }, { "old": "pystra.analysis.AnalysisOptions", "current": null, "kind": "class", "status": "replaced", "replacements": [ "pystra.options.FORMOptions", "pystra.options.SORMOptions", "pystra.options.SimulationOptions" ], "notes": "Split into frozen settings for FORM, SORM and simulation." }, { "old": "pystra.analysis.AnalysisOptions.__init__", "current": null, "kind": "callable", "status": "removed", "notes": "AnalysisOptions is replaced by the options classes." }, { "old": "pystra.analysis.AnalysisOptions.getPrintOutput", "current": null, "kind": "callable", "status": "removed", "notes": "Analyses no longer print; each result has summary()." }, { "old": "pystra.analysis.AnalysisOptions.getFlagSens", "current": null, "kind": "callable", "status": "removed", "notes": "Unused setting." }, { "old": "pystra.analysis.AnalysisOptions.getMultiProc", "current": null, "kind": "callable", "status": "removed", "notes": "Unused setting." }, { "old": "pystra.analysis.AnalysisOptions.getBlockSize", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions", "pystra.options.SimulationOptions" ], "notes": "Use block_size in FORMOptions and SimulationOptions." }, { "old": "pystra.analysis.AnalysisOptions.getImax", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions" ], "notes": "Use FORMOptions.max_iterations." }, { "old": "pystra.analysis.AnalysisOptions.getE1", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions" ], "notes": "Use FORMOptions.limit_state_tolerance." }, { "old": "pystra.analysis.AnalysisOptions.getE2", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions" ], "notes": "Use FORMOptions.gradient_tolerance." }, { "old": "pystra.analysis.AnalysisOptions.getStepSize", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions" ], "notes": "Use FORMOptions.step_size." }, { "old": "pystra.analysis.AnalysisOptions.getDiffMode", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions" ], "notes": "Use FORMOptions.differentiation." }, { "old": "pystra.analysis.AnalysisOptions.getffdpara", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions" ], "notes": "Use FORMOptions.ffd_parameter." }, { "old": "pystra.analysis.AnalysisOptions.getSamples", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.SimulationOptions" ], "notes": "Use SimulationOptions.n_samples." }, { "old": "pystra.analysis.AnalysisOptions.getRandomGenerator", "current": null, "kind": "callable", "status": "removed", "notes": "Unused setting; randomness is controlled by rng." }, { "old": "pystra.analysis.AnalysisOptions.getSimulationPoint", "current": null, "kind": "callable", "status": "removed", "notes": "Unused setting." }, { "old": "pystra.analysis.AnalysisOptions.getSimulationStdv", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.SimulationOptions" ], "notes": "Use SimulationOptions.sampling_std." }, { "old": "pystra.analysis.AnalysisOptions.getSimulationCov", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.SimulationOptions" ], "notes": "Use SimulationOptions.target_cov." }, { "old": "pystra.analysis.AnalysisOptions.getTransform", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions", "pystra.options.SimulationOptions" ], "notes": "Use transform in FORMOptions and SimulationOptions." }, { "old": "pystra.analysis.AnalysisOptions.setPrintOutput", "current": null, "kind": "callable", "status": "removed", "notes": "Analyses no longer print; each result has summary()." }, { "old": "pystra.analysis.AnalysisOptions.setMultiProc", "current": null, "kind": "callable", "status": "removed", "notes": "Unused setting." }, { "old": "pystra.analysis.AnalysisOptions.setBlockSize", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions", "pystra.options.SimulationOptions" ], "notes": "Use block_size in FORMOptions and SimulationOptions." }, { "old": "pystra.analysis.AnalysisOptions.setImax", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions" ], "notes": "Use FORMOptions.max_iterations." }, { "old": "pystra.analysis.AnalysisOptions.setE1", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions" ], "notes": "Use FORMOptions.limit_state_tolerance." }, { "old": "pystra.analysis.AnalysisOptions.setE2", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions" ], "notes": "Use FORMOptions.gradient_tolerance." }, { "old": "pystra.analysis.AnalysisOptions.setStepSize", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions" ], "notes": "Use FORMOptions.step_size." }, { "old": "pystra.analysis.AnalysisOptions.setDiffMode", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions" ], "notes": "Use FORMOptions.differentiation." }, { "old": "pystra.analysis.AnalysisOptions.setffdpara", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions" ], "notes": "Use FORMOptions.ffd_parameter." }, { "old": "pystra.analysis.AnalysisOptions.setBins", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.SimulationOptions" ], "notes": "Use SimulationOptions.bins." }, { "old": "pystra.analysis.AnalysisOptions.setSamples", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.SimulationOptions" ], "notes": "Use SimulationOptions.n_samples." }, { "old": "pystra.analysis.AnalysisOptions.setTransform", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions", "pystra.options.SimulationOptions" ], "notes": "Use transform in FORMOptions and SimulationOptions." }, { "old": "pystra.analysis.AnalysisOptions.setRosenblattOrder", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.options.FORMOptions", "pystra.options.SimulationOptions" ], "notes": "Use rosenblatt_order in FORMOptions and SimulationOptions." }, { "old": "pystra.calibration.Calibration", "current": null, "kind": "class", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.FactorCalibrationProblem", "pystra.calibration.factors.solve_designs", "pystra.calibration.factors.derive_factors", "pystra.calibration.factors.select_factors", "pystra.calibration.factors.design_with_factors", "pystra.calibration.factors.verify_designs" ] }, { "old": "pystra.calibration.Calibration.__init__", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.FactorCalibrationProblem" ] }, { "old": "pystra.calibration.Calibration._print_form_results", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.TargetDesigns.to_frame", "pystra.calibration.factors.FactorSet.to_frame" ] }, { "old": "pystra.calibration.Calibration._get_missing_element", "current": null, "kind": "callable", "status": "removed", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API." }, { "old": "pystra.calibration.Calibration._set_labels", "current": null, "kind": "callable", "status": "removed", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API." }, { "old": "pystra.calibration.Calibration.calc_lsf_eval_df", "current": null, "kind": "callable", "status": "removed", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API." }, { "old": "pystra.calibration.Calibration._calibration_optimize", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.solve_designs" ] }, { "old": "pystra.calibration.Calibration._calibration_alpha", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.solve_designs" ] }, { "old": "pystra.calibration.Calibration.calc_design_param_Xst", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.FactorCalibrationProblem.design_from_point" ] }, { "old": "pystra.calibration.Calibration._get_df_Xstar", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.TargetDesigns.to_frame" ] }, { "old": "pystra.calibration.Calibration._get_df_Xstar_labels", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.TargetDesigns.to_frame" ] }, { "old": "pystra.calibration.Calibration.run", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.FactorCalibrationProblem", "pystra.calibration.factors.solve_designs", "pystra.calibration.factors.derive_factors", "pystra.calibration.factors.select_factors", "pystra.calibration.factors.design_with_factors", "pystra.calibration.factors.verify_designs" ] }, { "old": "pystra.calibration.Calibration._run_calibration", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.solve_designs" ] }, { "old": "pystra.calibration.Calibration._estimate_factors_coeff", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.derive_factors" ] }, { "old": "pystra.calibration.Calibration.get_psi_max", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.select_factors" ] }, { "old": "pystra.calibration.Calibration._calibrate_design_param", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.solve_designs" ] }, { "old": "pystra.calibration.Calibration._estimate_factors_matrix", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.derive_factors" ] }, { "old": "pystra.calibration.Calibration.calc_pg_coeff", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.derive_factors" ] }, { "old": "pystra.calibration.Calibration.calc_Xst_nom", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.derive_factors" ] }, { "old": "pystra.calibration.Calibration.calc_phi", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.derive_factors" ] }, { "old": "pystra.calibration.Calibration.get_phi_min", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.select_factors" ] }, { "old": "pystra.calibration.Calibration.calc_gamma", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.derive_factors" ] }, { "old": "pystra.calibration.Calibration.calc_pg_matrix", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.derive_factors" ] }, { "old": "pystra.calibration.Calibration.calc_phiRz_egS_vect", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.derive_factors" ] }, { "old": "pystra.calibration.Calibration.calc_epgS_mat", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.derive_factors" ] }, { "old": "pystra.calibration.Calibration._get_psi_row_mat", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.derive_factors" ] }, { "old": "pystra.calibration.Calibration.calc_beta_design_param", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.verify_designs" ] }, { "old": "pystra.calibration.Calibration.calc_df_pgRS", "current": null, "kind": "callable", "status": "removed", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API." }, { "old": "pystra.calibration.Calibration.get_design_param_factor", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.design_with_factors" ] }, { "old": "pystra.calibration.Calibration.print_detailed_output", "current": null, "kind": "callable", "status": "replaced", "notes": "Stateful Calibration and table-coordination helpers are removed. Replacement operations use explicit inputs/results; private term isolation is not a general limit-state API.", "replacements": [ "pystra.calibration.factors.TargetDesigns.to_frame", "pystra.calibration.factors.FactorSet.to_frame" ] }, { "old": "pystra.calibration.GenericModel", "current": "pystra.calibration.normalized.NormalizedReliabilityModel", "kind": "class", "status": "changed_contract", "notes": "Still exported from pystra.calibration; explicit constructor inputs replace setters." }, { "old": "pystra.calibration.GenericModel.__init__", "current": null, "kind": "callable", "status": "replaced", "notes": "Construct explicit model/factor/nominal records; use named fields instead of mutation or a positional tuple.", "replacements": [ "pystra.calibration.normalized.NormalizedReliabilityModel" ] }, { "old": "pystra.calibration.GenericModel.set_factors", "current": null, "kind": "callable", "status": "replaced", "notes": "Construct explicit model/factor/nominal records; use named fields instead of mutation or a positional tuple.", "replacements": [ "pystra.calibration.normalized.CodeFactors" ] }, { "old": "pystra.calibration.GenericModel.set_distributions", "current": null, "kind": "callable", "status": "replaced", "notes": "Construct explicit model/factor/nominal records; use named fields instead of mutation or a positional tuple.", "replacements": [ "pystra.calibration.normalized.NormalizedReliabilityModel" ] }, { "old": "pystra.calibration.GenericModel.set_nominals", "current": null, "kind": "callable", "status": "replaced", "notes": "Construct explicit model/factor/nominal records; use named fields instead of mutation or a positional tuple.", "replacements": [ "pystra.calibration.normalized.NominalValues" ] }, { "old": "pystra.calibration.GenericModel.set_model_errors", "current": null, "kind": "callable", "status": "replaced", "notes": "Construct explicit model/factor/nominal records; use named fields instead of mutation or a positional tuple.", "replacements": [ "pystra.calibration.normalized.NormalizedReliabilityModel" ] }, { "old": "pystra.calibration.GenericModel.set_resistance_params", "current": null, "kind": "callable", "status": "replaced", "notes": "Construct explicit model/factor/nominal records; use named fields instead of mutation or a positional tuple.", "replacements": [ "pystra.calibration.normalized.NormalizedReliabilityModel" ] }, { "old": "pystra.calibration.GenericModel.set_dead_params", "current": null, "kind": "callable", "status": "replaced", "notes": "Construct explicit model/factor/nominal records; use named fields instead of mutation or a positional tuple.", "replacements": [ "pystra.calibration.normalized.NormalizedReliabilityModel" ] }, { "old": "pystra.calibration.GenericModel.set_permanent_params", "current": null, "kind": "callable", "status": "replaced", "notes": "Construct explicit model/factor/nominal records; use named fields instead of mutation or a positional tuple.", "replacements": [ "pystra.calibration.normalized.NormalizedReliabilityModel" ] }, { "old": "pystra.calibration.GenericModel.set_live_params", "current": null, "kind": "callable", "status": "replaced", "notes": "Construct explicit model/factor/nominal records; use named fields instead of mutation or a positional tuple.", "replacements": [ "pystra.calibration.normalized.NormalizedReliabilityModel" ] }, { "old": "pystra.calibration.GenericModel.get", "current": null, "kind": "callable", "status": "replaced", "notes": "Construct explicit model/factor/nominal records; use named fields instead of mutation or a positional tuple.", "replacements": [ "pystra.calibration.normalized.NormalizedReliabilityModel" ] }, { "old": "pystra.calibration.GenericCalibration", "current": "pystra.calibration.normalized.CodeCalibration", "kind": "class", "status": "changed_contract", "notes": "Still exported from pystra.calibration; explicit ratio grids and model/factor inputs. See structure map." }, { "old": "pystra.calibration.GenericCalibration.__init__", "current": "pystra.calibration.normalized.CodeCalibration.__init__", "kind": "callable", "status": "changed_contract", "notes": "Still exported from pystra.calibration; explicit ratio grids and model/factor inputs. See structure map.", "positional_limit": 0 }, { "old": "pystra.calibration.GenericCalibration.add_model", "current": null, "kind": "callable", "status": "replaced", "notes": "No registration/cache; pass model and factors to run. Styling belongs to the plotting adapter. The normalized limit state is internal.", "replacements": [ "pystra.calibration.normalized.CodeCalibration.run", "pystra.calibration.normalized.CodeCalibrationResult" ] }, { "old": "pystra.calibration.GenericCalibration.lsf", "current": null, "kind": "callable", "status": "removed", "notes": "No registration/cache; pass model and factors to run. Styling belongs to the plotting adapter. The normalized limit state is internal." }, { "old": "pystra.calibration.GenericCalibration.design", "current": "pystra.calibration.normalized.CodeCalibration.design", "kind": "callable", "status": "changed_contract", "notes": "Still exported from pystra.calibration; explicit ratio grids and model/factor inputs. See structure map." }, { "old": "pystra.calibration.GenericCalibration.analyse_design", "current": null, "kind": "callable", "status": "replaced", "notes": "No registration/cache; pass model and factors to run. Styling belongs to the plotting adapter. The normalized limit state is internal.", "replacements": [ "pystra.calibration.normalized.CodeCalibration.run", "pystra.calibration.normalized.CodeCalibrationResult" ] }, { "old": "pystra.calibration.GenericCalibration.get_reliabilities", "current": null, "kind": "callable", "status": "replaced", "notes": "No registration/cache; pass model and factors to run. Styling belongs to the plotting adapter. The normalized limit state is internal.", "replacements": [ "pystra.calibration.normalized.CodeCalibration.run", "pystra.calibration.normalized.CodeCalibrationResult" ] }, { "old": "pystra.calibration.GenericCalibration.analyse", "current": null, "kind": "callable", "status": "replaced", "notes": "No registration/cache; pass model and factors to run. Styling belongs to the plotting adapter. The normalized limit state is internal.", "replacements": [ "pystra.calibration.normalized.CodeCalibration.run", "pystra.calibration.normalized.CodeCalibrationResult" ] }, { "old": "pystra.calibration.GenericCalibration.add_range", "current": null, "kind": "callable", "status": "replaced", "notes": "No registration/cache; pass model and factors to run. Styling belongs to the plotting adapter. The normalized limit state is internal.", "replacements": [ "pystra.calibration.plotting.plot_calibration" ] }, { "old": "pystra.calibration.GenericCalibration.plot_region", "current": null, "kind": "callable", "status": "replaced", "notes": "No registration/cache; pass model and factors to run. Styling belongs to the plotting adapter. The normalized limit state is internal.", "replacements": [ "pystra.calibration.plotting.plot_calibration" ] }, { "old": "pystra.calibration.GenericCalibration.beta_region_plot", "current": null, "kind": "callable", "status": "replaced", "notes": "No registration/cache; pass model and factors to run. Styling belongs to the plotting adapter. The normalized limit state is internal.", "replacements": [ "pystra.calibration.plotting.plot_calibration" ] }, { "old": "pystra.calibration.GenericCalibration.plot", "current": null, "kind": "callable", "status": "replaced", "notes": "No registration/cache; pass model and factors to run. 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"kind": "class", "status": "unchanged" }, { "old": "pystra.ddo.DDO.__init__", "current": "pystra.decision.ddo.DDO.__init__", "kind": "callable", "status": "unchanged", "positional_limit": 0 }, { "old": "pystra.ddo.DDO._evaluate", "current": "pystra.decision.ddo.DDO._evaluate", "kind": "callable", "status": "unchanged" }, { "old": "pystra.ddo.DDO.run", "current": "pystra.decision.ddo.DDO.run", "kind": "callable", "status": "unchanged" }, { "old": "pystra.ddo.DDO._results_or_run", "current": "pystra.decision.ddo.DDO._results_or_run", "kind": "callable", "status": "unchanged" }, { "old": "pystra.ddo.DDO._objective_column", "current": "pystra.decision.ddo.DDO._objective_column", "kind": "callable", "status": "unchanged" }, { "old": "pystra.ddo.DDO.economic_optimum", "current": "pystra.decision.ddo.DDO.economic_optimum", "kind": "callable", "status": "unchanged" }, { "old": "pystra.ddo.DDO.feasible_results", "current": "pystra.decision.ddo.DDO.feasible_results", "kind": "callable", "status": "unchanged" }, { "old": "pystra.ddo.DDO.optimize", "current": "pystra.decision.ddo.DDO.optimize", "kind": "callable", "status": "unchanged" }, { "old": "pystra.ddo.DDO.summary", "current": "pystra.decision.ddo.DDO.summary", "kind": "callable", "status": "unchanged" }, { "old": "pystra.ddo.DDO.plot", "current": "pystra.decision.ddo.DDO.plot", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.beta.Beta", "current": "pystra.distributions.beta.Beta", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.beta.Beta.__init__", "current": "pystra.distributions.beta.Beta.__init__", "kind": "callable", "status": "unchanged", "notes": "input_type removed; native parameters are the keywords q, r. The bounds a and b are the keywords lower and upper. start_point is keyword-only.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.beta.Beta.beta_parameter", "current": "pystra.distributions.beta.Beta.beta_parameter", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.chisquare.ChiSquare", "current": "pystra.distributions.chi_square.ChiSquare", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.chisquare.ChiSquare.__init__", "current": "pystra.distributions.chi_square.ChiSquare.__init__", "kind": "callable", "status": "unchanged", "notes": "input_type removed; native parameters are the keywords df. start_point is keyword-only.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.distribution.StdNormal", "current": "pystra.distributions.distribution.StdNormal", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.distribution.StdNormal.pdf", "current": "pystra.distributions.distribution.StdNormal.pdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.distribution.StdNormal.cdf", "current": "pystra.distributions.distribution.StdNormal.cdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.distribution.StdNormal.ppf", "current": "pystra.distributions.distribution.StdNormal.ppf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.distribution.Constant", "current": "pystra.distributions.distribution.Constant", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.distribution.Constant.__init__", "current": "pystra.distributions.distribution.Constant.__init__", "kind": "callable", "status": "unchanged", "positional_limit": 2 }, { "old": "pystra.distributions.distribution.Constant.getName", "current": "pystra.distributions.distribution.Constant.get_name", "kind": "callable", "status": "renamed" }, { "old": "pystra.distributions.distribution.Constant.getValue", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.distributions.distribution.Constant" ], "notes": "Use the value property." }, { "old": "pystra.distributions.distribution.Distribution", "current": "pystra.distributions.distribution.Distribution", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.distribution.Distribution.__init__", "current": "pystra.distributions.distribution.Distribution.__init__", "kind": "callable", "status": "unchanged", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 5 }, { "old": "pystra.distributions.distribution.Distribution.__repr__", "current": "pystra.distributions.distribution.Distribution.__repr__", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.distribution.Distribution._update_moments", "current": "pystra.distributions.distribution.Distribution._update_moments", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.distribution.Distribution.getName", "current": "pystra.distributions.distribution.Distribution.get_name", "kind": "callable", "status": "renamed" }, { "old": "pystra.distributions.distribution.Distribution.getMean", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.distributions.distribution.Distribution" ], "notes": "Use the mean property." }, { "old": "pystra.distributions.distribution.Distribution.getStdv", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.distributions.distribution.Distribution" ], "notes": "Use the std property." }, { "old": "pystra.distributions.distribution.Distribution.getStartPoint", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.distributions.distribution.Distribution" ], "notes": "Use the start_point property." }, { "old": "pystra.distributions.distribution.Distribution.setStartPoint", "current": "pystra.distributions.distribution.Distribution._set_start_point", "kind": "callable", "status": "renamed", "notes": "Private in 2.0." }, { "old": "pystra.distributions.distribution.Distribution.pdf", "current": "pystra.distributions.distribution.Distribution.pdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.distribution.Distribution.cdf", "current": "pystra.distributions.distribution.Distribution.cdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.distribution.Distribution.ppf", "current": "pystra.distributions.distribution.Distribution.ppf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.distribution.Distribution.u_to_x", "current": "pystra.distributions.distribution.Distribution.u_to_x", "kind": "callable", "status": "changed_contract", "notes": "Uses the survival function above u = 3 and log probabilities where probabilities underflow; tail quantiles below 1e-8 are checked against the log-CDF. Unchanged up to u = 3." }, { "old": "pystra.distributions.distribution.Distribution.x_to_u", "current": "pystra.distributions.distribution.Distribution.x_to_u", "kind": "callable", "status": "changed_contract", "notes": "Uses the survival function above u = 3 and log probabilities where probabilities underflow. Unchanged below u = 3." }, { "old": "pystra.distributions.distribution.Distribution.jacobian", "current": "pystra.distributions.distribution.Distribution.jacobian", "kind": "callable", "status": "changed_contract", "notes": "Forms f(x)/phi(u) from log densities where either density underflows." }, { "old": "pystra.distributions.distribution.Distribution.sample", "current": "pystra.distributions.distribution.Distribution.sample", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.distribution.Distribution.plot", "current": "pystra.distributions.distribution.Distribution.plot", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.distribution.Distribution.sensitivity_params", "current": "pystra.distributions.distribution.Distribution.sensitivity_params", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.distribution.Distribution._make_copy", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.distributions.distribution.Distribution.parameters", "pystra.distributions.distribution.Distribution.with_parameters" ], "notes": "Public read-only constructor parameters and independent replacement replace _ctor_kwargs/_make_copy. Native reconstruction preserves bounded/shifted laws, SciPy adapters and composites; sensitivity_params remains separate. Start points are preserved unless explicitly replaced." }, { "old": "pystra.distributions.distribution.Distribution._dmoments_dtheta", "current": "pystra.distributions.distribution.Distribution._dmoments_dtheta", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.distribution.Distribution.dF_dtheta", "current": "pystra.distributions.distribution.Distribution.cdf_gradient", "kind": "callable", "status": "renamed" }, { "old": "pystra.distributions.distribution.Distribution.set_location", "current": "pystra.distributions.distribution.Distribution.set_location", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.distribution.Distribution.set_scale", "current": "pystra.distributions.distribution.Distribution.set_scale", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.gamma.Gamma", "current": "pystra.distributions.gamma.Gamma", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.gamma.Gamma.__init__", "current": "pystra.distributions.gamma.Gamma.__init__", "kind": "callable", "status": "unchanged", "notes": "input_type removed; native parameters are the keywords rate, shape. start_point is keyword-only.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.gev.GEVmax", "current": "pystra.distributions.gev.GEV", "kind": "class", "status": "renamed", "notes": "GEVmax remains an alias for GEV." }, { "old": "pystra.distributions.gev.GEVmax.__init__", "current": "pystra.distributions.gev.GEV.__init__", "kind": "callable", "status": "renamed", "notes": "input_type removed; native parameters are the keywords loc, scale. start_point is keyword-only.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 4 }, { "old": "pystra.distributions.gev.GEVmax.sensitivity_params", "current": "pystra.distributions.gev.GEV.sensitivity_params", "kind": "callable", "status": "renamed" }, { "old": "pystra.distributions.gev.GEVmin", "current": "pystra.distributions.gev.GEVMin", "kind": "class", "status": "renamed", "notes": "Transformation, CDF and quantiles now use the reflection of the GEV consistently, and moments use the minima relations; 1.x results were wrong and change." }, { "old": "pystra.distributions.gev.GEVmin.__init__", "current": "pystra.distributions.gev.GEVMin.__init__", "kind": "callable", "status": "renamed", "notes": "input_type removed; native parameters are the keywords loc, scale. start_point is keyword-only.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 4 }, { "old": "pystra.distributions.gev.GEVmin.sensitivity_params", "current": "pystra.distributions.gev.GEVMin.sensitivity_params", "kind": "callable", "status": "renamed" }, { "old": "pystra.distributions.gev.GEVmin.pdf", "current": "pystra.distributions.gev.GEVMin.pdf", "kind": "callable", "status": "renamed" }, { "old": "pystra.distributions.gev.GEVmin.cdf", "current": "pystra.distributions.gev.GEVMin.cdf", "kind": "callable", "status": "renamed" }, { "old": "pystra.distributions.gev.GEVmin.ppf", "current": "pystra.distributions.gev.GEVMin.ppf", "kind": "callable", "status": "renamed" }, { "old": "pystra.distributions.gumbel.Gumbel", "current": "pystra.distributions.gumbel.Gumbel", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.gumbel.Gumbel.__init__", "current": "pystra.distributions.gumbel.Gumbel.__init__", "kind": "callable", "status": "unchanged", "notes": "input_type removed; native parameters are the keywords loc, scale. start_point is keyword-only.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.lognormal.Lognormal", "current": "pystra.distributions.lognormal.Lognormal", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.lognormal.Lognormal.__init__", "current": "pystra.distributions.lognormal.Lognormal.__init__", "kind": "callable", "status": "unchanged", "notes": "input_type removed; native parameters are the keywords log_mean, log_std. start_point is keyword-only.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.lognormal.Lognormal._update_params", "current": "pystra.distributions.lognormal.Lognormal._update_params", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.lognormal.Lognormal.pdf", "current": "pystra.distributions.lognormal.Lognormal.pdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.lognormal.Lognormal.cdf", "current": "pystra.distributions.lognormal.Lognormal.cdf", "kind": "callable", "status": "unchanged", "notes": "Accepts arrays; computed with ndtr." }, { "old": "pystra.distributions.lognormal.Lognormal.u_to_x", "current": "pystra.distributions.lognormal.Lognormal.u_to_x", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.lognormal.Lognormal.x_to_u", "current": "pystra.distributions.lognormal.Lognormal.x_to_u", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.lognormal.Lognormal.dF_dtheta", "current": "pystra.distributions.lognormal.Lognormal.cdf_gradient", "kind": "callable", "status": "renamed" }, { "old": "pystra.distributions.lognormal.Lognormal.set_location", "current": "pystra.distributions.lognormal.Lognormal.set_location", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.lognormal.Lognormal.set_scale", "current": "pystra.distributions.lognormal.Lognormal.set_scale", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.maximum.Maximum", "current": "pystra.distributions.maximum.Maximum", "kind": "class", "status": "unchanged", "notes": "Moments use deterministic normal-space quadrature (rtol 1e-7, atol 1e-9 in standardized mean/variance), with exact Frechet/Uniform identities, replacing 100 global random draws. A missed tolerance warns and retains the finest finite estimate; nonfinite estimates and nonpositive variance remain errors." }, { "old": "pystra.distributions.maximum.Maximum.__init__", "current": "pystra.distributions.maximum.Maximum.__init__", "kind": "callable", "status": "unchanged", "notes": "Unused input_type removed. start_point is keyword-only.", "keyword_renames": { "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.maximum.Maximum.pdf", "current": "pystra.distributions.maximum.Maximum.pdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.maximum.Maximum.cdf", "current": "pystra.distributions.maximum.Maximum.cdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.maximum.Maximum.ppf", "current": "pystra.distributions.maximum.Maximum.ppf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.maximum.Maximum.u_to_x", "current": "pystra.distributions.distribution.Distribution.u_to_x", "kind": "callable", "status": "changed_contract", "notes": "Inherited from Distribution, which evaluates the tail that the point lies in (survival function above u = 3, log probabilities where probabilities underflow)." }, { "old": "pystra.distributions.maximum.Maximum.x_to_u", "current": "pystra.distributions.distribution.Distribution.x_to_u", "kind": "callable", "status": "changed_contract", "notes": "Inherited from Distribution, which evaluates the tail that the point lies in (survival function above u = 3, log probabilities where probabilities underflow)." }, { "old": "pystra.distributions.maximum.Maximum.jacobian", "current": "pystra.distributions.distribution.Distribution.jacobian", "kind": "callable", "status": "changed_contract", "notes": "Inherited from Distribution, which evaluates the tail that the point lies in (survival function above u = 3, log probabilities where probabilities underflow)." }, { "old": "pystra.distributions.maximum.Maximum._get_stats", "current": "pystra.distributions.maximum.Maximum._get_stats", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.maximum.Maximum.set_location", "current": "pystra.distributions.maximum.Maximum.set_location", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.maximum.Maximum.set_scale", "current": "pystra.distributions.maximum.Maximum.set_scale", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.maximum.Maximum.update_stats", "current": "pystra.distributions.maximum.Maximum.update_stats", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.normal.Normal", "current": "pystra.distributions.normal.Normal", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.normal.Normal.__init__", "current": "pystra.distributions.normal.Normal.__init__", "kind": "callable", "status": "unchanged", "notes": "Unused input_type removed. start_point is keyword-only.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.normal.Normal.pdf", "current": "pystra.distributions.normal.Normal.pdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.normal.Normal.cdf", "current": "pystra.distributions.normal.Normal.cdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.normal.Normal.ppf", "current": "pystra.distributions.normal.Normal.ppf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.normal.Normal.sample", "current": "pystra.distributions.normal.Normal.sample", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.normal.Normal.u_to_x", "current": "pystra.distributions.normal.Normal.u_to_x", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.normal.Normal.x_to_u", "current": "pystra.distributions.normal.Normal.x_to_u", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.normal.Normal.jacobian", "current": "pystra.distributions.normal.Normal.jacobian", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.normal.Normal.dF_dtheta", "current": "pystra.distributions.normal.Normal.cdf_gradient", "kind": "callable", "status": "renamed" }, { "old": "pystra.distributions.normal.Normal.set_location", "current": "pystra.distributions.normal.Normal.set_location", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.normal.Normal.set_scale", "current": "pystra.distributions.normal.Normal.set_scale", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.parent.MaxParent", "current": "pystra.distributions.parent.MaxParent", "kind": "class", "status": "unchanged", "notes": "Moments use deterministic normal-space quadrature (rtol 1e-7, atol 1e-9 in standardized mean/variance), with exact Frechet/Uniform identities, replacing 100 global random draws. A missed tolerance warns and retains the finest finite estimate; nonfinite estimates and nonpositive variance remain errors. Quantile inversion uses log probabilities." }, { "old": "pystra.distributions.parent.MaxParent.__init__", "current": "pystra.distributions.parent.MaxParent.__init__", "kind": "callable", "status": "unchanged", "notes": "Unused input_type removed. start_point is keyword-only.", "keyword_renames": { "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.parent.MaxParent.pdf", "current": "pystra.distributions.parent.MaxParent.pdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.parent.MaxParent.cdf", "current": "pystra.distributions.parent.MaxParent.cdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.parent.MaxParent.ppf", "current": "pystra.distributions.parent.MaxParent.ppf", "kind": "callable", "status": "unchanged", "notes": "Inverts through the maximum's log-CDF instead of bracketing, and is accurate in both tails." }, { "old": "pystra.distributions.parent.MaxParent.u_to_x", "current": "pystra.distributions.distribution.Distribution.u_to_x", "kind": "callable", "status": "changed_contract", "notes": "Inherited from Distribution, which evaluates the tail that the point lies in (survival function above u = 3, log probabilities where probabilities underflow)." }, { "old": "pystra.distributions.parent.MaxParent.x_to_u", "current": "pystra.distributions.distribution.Distribution.x_to_u", "kind": "callable", "status": "changed_contract", "notes": "Inherited from Distribution, which evaluates the tail that the point lies in (survival function above u = 3, log probabilities where probabilities underflow)." }, { "old": "pystra.distributions.parent.MaxParent.jacobian", "current": "pystra.distributions.distribution.Distribution.jacobian", "kind": "callable", "status": "changed_contract", "notes": "Inherited from Distribution, which evaluates the tail that the point lies in (survival function above u = 3, log probabilities where probabilities underflow)." }, { "old": "pystra.distributions.parent.MaxParent._get_stats", "current": "pystra.distributions.parent.MaxParent._get_stats", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.parent.MaxParent.set_location", "current": "pystra.distributions.parent.MaxParent.set_location", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.parent.MaxParent.set_scale", "current": "pystra.distributions.parent.MaxParent.set_scale", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.parent.MaxParent.set_exponent", "current": "pystra.distributions.parent.MaxParent.set_exponent", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.parent.MaxParent._update_stats", "current": "pystra.distributions.parent.MaxParent._update_stats", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.scipydist.ScipyDist", "current": "pystra.distributions.scipy_dist.ScipyDist", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.scipydist.ScipyDist.__init__", "current": "pystra.distributions.scipy_dist.ScipyDist.__init__", "kind": "callable", "status": "unchanged", "keyword_renames": { "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.shiftedexponential.ShiftedExponential", "current": "pystra.distributions.shifted_exponential.ShiftedExponential", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.shiftedexponential.ShiftedExponential.__init__", "current": "pystra.distributions.shifted_exponential.ShiftedExponential.__init__", "kind": "callable", "status": "unchanged", "notes": "input_type removed; native parameters are the keywords rate, shift. start_point is keyword-only.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.shiftedlognormal.ShiftedLognormal", "current": "pystra.distributions.shifted_lognormal.ShiftedLognormal", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.shiftedlognormal.ShiftedLognormal.__init__", "current": "pystra.distributions.shifted_lognormal.ShiftedLognormal.__init__", "kind": "callable", "status": "unchanged", "notes": "Unused input_type removed. start_point is keyword-only.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 4 }, { "old": "pystra.distributions.shiftedlognormal.ShiftedLognormal._update_params", "current": "pystra.distributions.shifted_lognormal.ShiftedLognormal._update_params", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.shiftedlognormal.ShiftedLognormal.pdf", "current": "pystra.distributions.lognormal.Lognormal.pdf", "kind": "callable", "status": "changed_contract", "notes": "Inherited from Lognormal, which applies the lower bound through its support shift." }, { "old": "pystra.distributions.shiftedlognormal.ShiftedLognormal.cdf", "current": "pystra.distributions.lognormal.Lognormal.cdf", "kind": "callable", "status": "changed_contract", "notes": "Inherited from Lognormal, which applies the lower bound through its support shift." }, { "old": "pystra.distributions.shiftedlognormal.ShiftedLognormal.u_to_x", "current": "pystra.distributions.lognormal.Lognormal.u_to_x", "kind": "callable", "status": "changed_contract", "notes": "Inherited from Lognormal, which applies the lower bound through its support shift." }, { "old": "pystra.distributions.shiftedlognormal.ShiftedLognormal.x_to_u", "current": "pystra.distributions.lognormal.Lognormal.x_to_u", "kind": "callable", "status": "changed_contract", "notes": "Inherited from Lognormal, which applies the lower bound through its support shift." }, { "old": "pystra.distributions.shiftedlognormal.ShiftedLognormal.set_lower", "current": "pystra.distributions.shifted_lognormal.ShiftedLognormal.set_lower", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.shiftedrayleigh.ShiftedRayleigh", "current": "pystra.distributions.shifted_rayleigh.ShiftedRayleigh", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.shiftedrayleigh.ShiftedRayleigh.__init__", "current": "pystra.distributions.shifted_rayleigh.ShiftedRayleigh.__init__", "kind": "callable", "status": "unchanged", "notes": "input_type removed; native parameters are the keywords scale, shift. start_point is keyword-only.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.typeiiismallestvalue.TypeIIIsmallestValue", "current": null, "kind": "class", "status": "replaced", "replacements": [ "pystra.distributions.weibull.Weibull" ], "notes": "Identical to Weibull; removed as a duplicate." }, { "old": "pystra.distributions.typeiiismallestvalue.TypeIIIsmallestValue.__init__", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.distributions.weibull.Weibull.__init__" ], "notes": "Identical to Weibull; removed as a duplicate.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.typeiilargestvalue.TypeIIlargestValue", "current": "pystra.distributions.frechet.Frechet", "kind": "class", "status": "renamed" }, { "old": "pystra.distributions.typeiilargestvalue.TypeIIlargestValue.__init__", "current": "pystra.distributions.frechet.Frechet.__init__", "kind": "callable", "status": "renamed", "notes": "input_type removed; native parameters are the keywords scale, shape. start_point is keyword-only.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.typeiilargestvalue.TypeIIlargestValue.typIIlargest_parameter", "current": "pystra.distributions.frechet.Frechet.frechet_parameter", "kind": "callable", "status": "renamed" }, { "old": "pystra.distributions.typeilargestvalue.TypeIlargestValue", "current": null, "kind": "class", "status": "replaced", "replacements": [ "pystra.distributions.gumbel.Gumbel" ], "notes": "Identical to Gumbel; removed as a duplicate." }, { "old": "pystra.distributions.typeilargestvalue.TypeIlargestValue.__init__", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.distributions.gumbel.Gumbel.__init__" ], "notes": "Identical to Gumbel; removed as a duplicate.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.typeismallestvalue.TypeIsmallestValue", "current": "pystra.distributions.gumbel.GumbelMin", "kind": "class", "status": "renamed" }, { "old": "pystra.distributions.typeismallestvalue.TypeIsmallestValue.__init__", "current": "pystra.distributions.gumbel.GumbelMin.__init__", "kind": "callable", "status": "renamed", "notes": "input_type removed; native parameters are the keywords loc, scale. start_point is keyword-only.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.uniform.Uniform", "current": "pystra.distributions.uniform.Uniform", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.uniform.Uniform.__init__", "current": "pystra.distributions.uniform.Uniform.__init__", "kind": "callable", "status": "unchanged", "notes": "input_type removed; native parameters are the keywords lower, upper. start_point is keyword-only.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.uniform.Uniform.u_to_x", "current": "pystra.distributions.uniform.Uniform.u_to_x", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.uniform.Uniform.x_to_u", "current": "pystra.distributions.distribution.Distribution.x_to_u", "kind": "callable", "status": "changed_contract", "notes": "Inherited from Distribution, which evaluates the tail that the point lies in (survival function above u = 3, log probabilities where probabilities underflow)." }, { "old": "pystra.distributions.weibull.Weibull", "current": "pystra.distributions.weibull.Weibull", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.weibull.Weibull.__init__", "current": "pystra.distributions.weibull.Weibull.__init__", "kind": "callable", "status": "unchanged", "notes": "input_type removed; native parameters are the keywords scale, shape. The bound epsilon is the keyword lower. start_point is keyword-only.", "keyword_renames": { "stdv": "std", "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.weibull.Weibull.weibull_parameter", "current": "pystra.distributions.weibull.Weibull.weibull_parameter", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.zeroinflated.ZeroInflated", "current": "pystra.distributions.zero_inflated.ZeroInflated", "kind": "class", "status": "unchanged" }, { "old": "pystra.distributions.zeroinflated.ZeroInflated.__init__", "current": "pystra.distributions.zero_inflated.ZeroInflated.__init__", "kind": "callable", "status": "unchanged", "notes": "Unused input_type removed. start_point is keyword-only.", "keyword_renames": { "startpoint": "start_point" }, "positional_limit": 3 }, { "old": "pystra.distributions.zeroinflated.ZeroInflated.pdf", "current": "pystra.distributions.zero_inflated.ZeroInflated.pdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.zeroinflated.ZeroInflated.cdf", "current": "pystra.distributions.zero_inflated.ZeroInflated.cdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.zeroinflated.ZeroInflated.ppf", "current": "pystra.distributions.zero_inflated.ZeroInflated.ppf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.zeroinflated.ZeroInflated.u_to_x", "current": "pystra.distributions.distribution.Distribution.u_to_x", "kind": "callable", "status": "changed_contract", "notes": "Inherited from Distribution, which evaluates the tail that the point lies in (survival function above u = 3, log probabilities where probabilities underflow)." }, { "old": "pystra.distributions.zeroinflated.ZeroInflated.x_to_u", "current": "pystra.distributions.distribution.Distribution.x_to_u", "kind": "callable", "status": "changed_contract", "notes": "Inherited from Distribution, which evaluates the tail that the point lies in (survival function above u = 3, log probabilities where probabilities underflow)." }, { "old": "pystra.distributions.zeroinflated.ZeroInflated.jacobian", "current": "pystra.distributions.distribution.Distribution.jacobian", "kind": "callable", "status": "changed_contract", "notes": "Inherited from Distribution, which evaluates the tail that the point lies in (survival function above u = 3, log probabilities where probabilities underflow)." }, { "old": "pystra.distributions.zeroinflated.ZeroInflated._get_stats", "current": "pystra.distributions.zero_inflated.ZeroInflated._get_stats", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.zeroinflated.ZeroInflated.set_location", "current": "pystra.distributions.zero_inflated.ZeroInflated.set_location", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.zeroinflated.ZeroInflated.set_scale", "current": "pystra.distributions.zero_inflated.ZeroInflated.set_scale", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.zeroinflated.ZeroInflated.set_zero_probability", "current": "pystra.distributions.zero_inflated.ZeroInflated.set_zero_probability", "kind": "callable", "status": "unchanged" }, { "old": "pystra.distributions.zeroinflated.ZeroInflated._update_stats", "current": "pystra.distributions.zero_inflated.ZeroInflated._update_stats", "kind": "callable", "status": "unchanged" }, { "old": "pystra.fbc.FBCProcess", "current": "pystra.loads.FBCProcess", "kind": "class", "status": "unchanged" }, { "old": "pystra.fbc.FBCProcess.__init__", "current": "pystra.loads.FBCProcess.__init__", "kind": "callable", "status": "unchanged", "positional_limit": 3 }, { "old": "pystra.fbc.FBCProcess.from_maximum", "current": "pystra.loads.FBCProcess.from_maximum", "kind": "callable", "status": "unchanged" }, { "old": "pystra.fbc.FBCProcess.interval_count", "current": "pystra.loads.FBCProcess.interval_count", "kind": "callable", "status": "unchanged" }, { "old": "pystra.fbc.FBCProcess.point_in_time", "current": "pystra.loads.FBCProcess.point_in_time", "kind": "callable", "status": "unchanged" }, { "old": "pystra.fbc.FBCProcess.maximum", "current": "pystra.loads.FBCProcess.maximum", "kind": "callable", "status": "unchanged" }, { "old": "pystra.form.Form", "current": "pystra.reliability.form.FORM", "kind": "class", "status": "renamed" }, { "old": "pystra.form.Form.__init__", "current": "pystra.reliability.form.FORM.__init__", "kind": "callable", "status": "renamed", "keyword_renames": { "stochastic_model": "model", "analysis_options": "options", "limitstate": "limit_state" }, "positional_limit": 2 }, { "old": "pystra.form.Form.run", "current": "pystra.reliability.form.FORM.run", "kind": "callable", "status": "changed_contract", "notes": "See calibration-structure-map.json and the migration guide for constructor, evaluation and result changes." }, { "old": "pystra.form.Form.computeStartingPoint", "current": "pystra.reliability.form.FORM._compute_starting_point", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.form.Form.computeTransformation", "current": "pystra.reliability.form.FORM._compute_transformation", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.form.Form.computeJacobian", "current": "pystra.reliability.form.FORM._compute_jacobian", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.form.Form.computeLimitState", "current": "pystra.reliability.form.FORM._compute_limit_state", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.form.Form.computeAlpha", "current": "pystra.reliability.form.FORM._compute_alpha", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.form.Form.computeGamma", "current": "pystra.reliability.form.FORM._compute_gamma", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.form.Form.computeSearchDirection", "current": "pystra.reliability.form.FORM._compute_search_direction", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.form.Form.getStepSize", "current": "pystra.reliability.form.FORM._get_step_size", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.form.Form.computeStepSize", "current": "pystra.reliability.form.FORM._compute_step_size", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.form.Form.computeBeta", "current": "pystra.reliability.form.FORM._compute_beta", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.form.Form.computeFailureProbability", "current": "pystra.reliability.form.FORM._compute_failure_probability", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.form.Form.getEquivalentBeta", "current": "pystra.reliability.form.FORM._get_equivalent_beta", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.form.Form.showResults", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.FORMResult" ], "notes": "Read the result record: summary()." }, { "old": "pystra.form.Form.showDetailedOutput", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.FORMResult" ], "notes": "Read the result record: summary() and to_dataframe()." }, { "old": "pystra.form.Form.getBeta", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.FORMResult" ], "notes": "Read the result record: beta (FORM's geometric index is design_index)." }, { "old": "pystra.form.Form.getFailure", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.FORMResult" ], "notes": "Read the result record: failure_probability." }, { "old": "pystra.form.Form.getDesignPoint", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.FORMResult" ], "notes": "Read the result record: design_point_u and design_point_x." }, { "old": "pystra.form.Form.getAlpha", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.FORMResult" ], "notes": "Read the result record: alpha." }, { "old": "pystra.form.Form.getNoFunctionCalls", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.FORMResult" ], "notes": "Read the result record: n_limit_state_evaluations." }, { "old": "pystra.integration.rho_integral", "current": "pystra._numerics.integration.rho_integral", "kind": "callable", "status": "unchanged" }, { "old": "pystra.integration.zi_and_xi", "current": "pystra._numerics.integration.zi_and_xi", "kind": "callable", "status": "unchanged" }, { "old": "pystra.integration._phi2", "current": "pystra._numerics.integration._phi2", "kind": "callable", "status": "unchanged" }, { "old": "pystra.integration._dphi2_drho0", "current": "pystra._numerics.integration._dphi2_drho0", "kind": "callable", "status": "unchanged" }, { "old": "pystra.integration.drho_drho0", "current": "pystra._numerics.integration.drho_drho0", "kind": "callable", "status": "unchanged" }, { "old": "pystra.integration.drho0_dtheta", "current": "pystra._numerics.integration.drho0_dtheta", "kind": "callable", "status": "unchanged" }, { "old": "pystra.joint.JointDistribution", "current": "pystra.dependence.joint.JointDistribution", "kind": "class", "status": "unchanged" }, { "old": "pystra.joint.JointDistribution.__init__", "current": "pystra.dependence.joint.JointDistribution.__init__", "kind": "callable", "status": "unchanged", "positional_limit": 2 }, { "old": "pystra.joint.JointDistribution._points", "current": "pystra.dependence.joint.JointDistribution._points", "kind": "callable", "status": "unchanged" }, { "old": "pystra.joint.JointDistribution.cdf", "current": "pystra.dependence.joint.JointDistribution.cdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.joint.JointDistribution.logpdf", "current": "pystra.dependence.joint.JointDistribution.logpdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.joint.JointDistribution.pdf", "current": "pystra.dependence.joint.JointDistribution.pdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.joint.JointDistribution.rvs", "current": "pystra.dependence.joint.JointDistribution.rvs", "kind": "callable", "status": "unchanged" }, { "old": "pystra.joint.JointDistribution.getTransformation", "current": "pystra.dependence.joint.JointDistribution.make_transformation", "kind": "callable", "status": "renamed" }, { "old": "pystra.joint.CopulaTransformation", "current": "pystra.dependence.joint.CopulaTransformation", "kind": "class", "status": "unchanged" }, { "old": "pystra.joint.CopulaTransformation.__init__", "current": "pystra.dependence.joint.CopulaTransformation.__init__", "kind": "callable", "status": "unchanged", "positional_limit": 4 }, { "old": "pystra.joint.CopulaTransformation._vector", "current": "pystra.dependence.joint.CopulaTransformation._vector", "kind": "callable", "status": "unchanged" }, { "old": "pystra.joint.CopulaTransformation._latent", "current": "pystra.dependence.joint.CopulaTransformation._latent", "kind": "callable", "status": "unchanged" }, { "old": "pystra.joint.CopulaTransformation._physical", "current": "pystra.dependence.joint.CopulaTransformation._physical", "kind": "callable", "status": "unchanged" }, { "old": "pystra.joint.CopulaTransformation.x_to_u", "current": "pystra.dependence.joint.CopulaTransformation.x_to_u", "kind": "callable", "status": "unchanged" }, { "old": "pystra.joint.CopulaTransformation.u_to_x", "current": "pystra.dependence.joint.CopulaTransformation.u_to_x", "kind": "callable", "status": "unchanged" }, { "old": "pystra.joint.CopulaTransformation.jacobian", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.dependence.joint.CopulaTransformation.jacobian_u_wrt_x", "pystra.dependence.joint.CopulaTransformation.jacobian_x_wrt_u" ], "notes": "Directed derivatives replace ambiguous jacobian: rows are output coordinates, columns input coordinates, in model variable order." }, { "old": "pystra.loadcomb.LoadCombination", "current": "pystra.loads.LoadCombination", "kind": "class", "status": "changed_contract", "notes": "See calibration-structure-map.json and the migration guide for constructor, evaluation and result changes." }, { "old": "pystra.loadcomb.LoadCombination.__init__", "current": "pystra.loads.LoadCombination.__init__", "kind": "callable", "status": "changed_contract", "notes": "See calibration-structure-map.json and the migration guide for constructor, evaluation and result changes.", "keyword_renames": { "limitstate": "limit_state" }, "positional_limit": 0 }, { "old": "pystra.loadcomb.LoadCombination.turkstra", "current": "pystra.loads.LoadCombination.turkstra", "kind": "callable", "status": "changed_contract", "notes": "See calibration-structure-map.json and the migration guide for constructor, evaluation and result changes." }, { "old": "pystra.loadcomb.LoadCombination._variable_name", "current": null, "kind": "callable", "status": "removed", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs." }, { "old": "pystra.loadcomb.LoadCombination._variables_to_dict", "current": null, "kind": "callable", "status": "removed", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs." }, { "old": "pystra.loadcomb.LoadCombination._normalise_cases", "current": null, "kind": "callable", "status": "removed", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs." }, { "old": "pystra.loadcomb.LoadCombination._warn_legacy_inputs", "current": null, "kind": "callable", "status": "removed", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs." }, { "old": "pystra.loadcomb.LoadCombination._init_from_cases", "current": null, "kind": "callable", "status": "removed", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs." }, { "old": "pystra.loadcomb.LoadCombination._init_from_legacy", "current": null, "kind": "callable", "status": "replaced", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs.", "replacements": [ "pystra.loads.LoadCombination.from_actions" ] }, { "old": "pystra.loadcomb.LoadCombination._set_common_labels", "current": null, "kind": "callable", "status": "removed", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs." }, { "old": "pystra.loadcomb.LoadCombination._case_variable_names", "current": null, "kind": "callable", "status": "removed", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs." }, { "old": "pystra.loadcomb.LoadCombination._check_input", "current": null, "kind": "callable", "status": "removed", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs." }, { "old": "pystra.loadcomb.LoadCombination.get_label", "current": null, "kind": "callable", "status": "replaced", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs.", "replacements": [ "pystra.loads.VariableRoles" ] }, { "old": "pystra.loadcomb.LoadCombination._set_num_comb", "current": null, "kind": "callable", "status": "removed", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs." }, { "old": "pystra.loadcomb.LoadCombination.get_num_comb", "current": null, "kind": "callable", "status": "replaced", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs.", "replacements": [ "pystra.loads.LoadCombination.case_names" ] }, { "old": "pystra.loadcomb.LoadCombination.get_dict_dist_comb", "current": null, "kind": "callable", "status": "replaced", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs.", "replacements": [ "pystra.loads.LoadCombination.cases" ] }, { "old": "pystra.loadcomb.LoadCombination._create_dict_dist_comb", "current": null, "kind": "callable", "status": "replaced", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs.", "replacements": [ "pystra.loads.LoadCombination.from_actions" ] }, { "old": "pystra.loadcomb.LoadCombination._case_name", "current": null, "kind": "callable", "status": "removed", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs." }, { "old": "pystra.loadcomb.LoadCombination.case", "current": "pystra.loads.LoadCombination.case", "kind": "callable", "status": "changed_contract", "notes": "See calibration-structure-map.json and the migration guide for constructor, evaluation and result changes." }, { "old": "pystra.loadcomb.LoadCombination.stochastic_model", "current": "pystra.loads.LoadCombination.stochastic_model", "kind": "callable", "status": "changed_contract", "notes": "See calibration-structure-map.json and the migration guide for constructor, evaluation and result changes." }, { "old": "pystra.loadcomb.LoadCombination._get_corr_for_stochastic_model", "current": null, "kind": "callable", "status": "removed", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs." }, { "old": "pystra.loadcomb.LoadCombination.run_reliability_case", "current": null, "kind": "callable", "status": "replaced", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs.", "replacements": [ "pystra.assessment.analyze_case" ] }, { "old": "pystra.loadcomb.LoadCombination.eval_lsf_kwargs", "current": null, "kind": "callable", "status": "removed", "notes": "Legacy constructors/duplicate labels and execution helpers are removed. Use explicit cases/roles, from_actions or turkstra, and analyze_case. Evaluate arbitrary limit-state callables directly with complete named inputs." }, { "old": "pystra.ls.LineSampling", "current": "pystra.reliability.line_sampling.LineSampling", "kind": "class", "status": "unchanged", "notes": "Assigning form after construction takes effect; None restores internal reruns. Scans keep independent and Nataf correlated normal coordinates within [-37, 37]; unresolved truncated scans raise AnalysisError. Relative uncertainty is computed before squaring tiny probabilities." }, { "old": "pystra.ls.LineSampling.__init__", "current": "pystra.reliability.line_sampling.LineSampling.__init__", "kind": "callable", "status": "unchanged", "keyword_renames": { "stochastic_model": "model", "analysis_options": "options", "limitstate": "limit_state" }, "positional_limit": 2 }, { "old": "pystra.ls.LineSampling.run", "current": "pystra.reliability.line_sampling.LineSampling.run", "kind": "callable", "status": "unchanged" }, { "old": "pystra.ls.LineSampling._eval_g_at_c", "current": "pystra.reliability.line_sampling.LineSampling._eval_g_at_c", "kind": "callable", "status": "unchanged" }, { "old": "pystra.ls.LineSampling._find_line_intersection", "current": "pystra.reliability.line_sampling.LineSampling._find_line_intersection", "kind": "callable", "status": "unchanged" }, { "old": "pystra.ls.LineSampling.getBeta", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SimulationResult" ], "notes": "Read the result record: beta (FORM's geometric index is design_index)." }, { "old": "pystra.ls.LineSampling.getFailure", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SimulationResult" ], "notes": "Read the result record: failure_probability." }, { "old": "pystra.ls.LineSampling.showResults", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SimulationResult" ], "notes": "Read the result record: summary()." }, { "old": "pystra.mc.MonteCarlo", "current": "pystra.reliability.monte_carlo.MonteCarlo", "kind": "class", "status": "unchanged" }, { "old": "pystra.mc.MonteCarlo.__init__", "current": "pystra.reliability.monte_carlo.MonteCarlo.__init__", "kind": "callable", "status": "unchanged", "keyword_renames": { "stochastic_model": "model", "analysis_options": "options", "limitstate": "limit_state" }, "positional_limit": 2 }, { "old": "pystra.mc.MonteCarlo.setPoint", "current": "pystra.reliability.monte_carlo.MonteCarlo._set_point", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.mc.MonteCarlo.computeRandomNumbers", "current": "pystra.reliability.monte_carlo.MonteCarlo._compute_random_numbers", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.mc.MonteCarlo.computeTransformation", "current": "pystra.reliability.monte_carlo.MonteCarlo._compute_transformation", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.mc.MonteCarlo.computeLimitState", "current": "pystra.reliability.monte_carlo.MonteCarlo._compute_limit_state", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.mc.MonteCarlo.computeResults", "current": "pystra.reliability.monte_carlo.MonteCarlo._compute_results", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.mc.MonteCarlo.computeSumUpdate", "current": "pystra.reliability.monte_carlo.MonteCarlo._compute_sum_update", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.mc.MonteCarlo.computeCoefficientOfVariation", "current": "pystra.reliability.monte_carlo.MonteCarlo._compute_coefficient_of_variation", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.mc.MonteCarlo.computePercentDone", "current": "pystra.reliability.monte_carlo.MonteCarlo._compute_percent_done", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.mc.MonteCarlo.computeFailureProbability", "current": "pystra.reliability.monte_carlo.MonteCarlo._compute_failure_probability", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.mc.MonteCarlo.computeBeta", "current": "pystra.reliability.monte_carlo.MonteCarlo._compute_beta", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.mc.MonteCarlo.computeBins", "current": "pystra.reliability.monte_carlo.MonteCarlo._compute_bins", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.mc.MonteCarlo.getBeta", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SimulationResult" ], "notes": "Read the result record: beta (FORM's geometric index is design_index)." }, { "old": "pystra.mc.MonteCarlo.getFailure", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SimulationResult" ], "notes": "Read the result record: failure_probability." }, { "old": "pystra.mc.MonteCarlo.getDistributionData", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SimulationResult" ], "notes": "Read the result record: limit_state_values." }, { "old": "pystra.mc.MonteCarlo.getBins", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SimulationResult" ], "notes": "Read the result record: bins." }, { "old": "pystra.mc.CrudeMonteCarlo", "current": "pystra.reliability.monte_carlo.CrudeMonteCarlo", "kind": "class", "status": "unchanged" }, { "old": "pystra.mc.CrudeMonteCarlo.__init__", "current": "pystra.reliability.monte_carlo.CrudeMonteCarlo.__init__", "kind": "callable", "status": "unchanged", "keyword_renames": { "stochastic_model": "model", "analysis_options": "options", "limitstate": "limit_state" }, "positional_limit": 2 }, { "old": "pystra.mc.CrudeMonteCarlo.run", "current": "pystra.reliability.monte_carlo.CrudeMonteCarlo.run", "kind": "callable", "status": "unchanged", "notes": "Invalid evaluations stop sampling. target_cov=0 denotes fixed-budget completion; measured uncertainty is retained." }, { "old": "pystra.mc.CrudeMonteCarlo.initializeVariables", "current": "pystra.reliability.monte_carlo.CrudeMonteCarlo._initialize_variables", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.mc.CrudeMonteCarlo.showResults", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SimulationResult" ], "notes": "Read the result record: summary()." }, { "old": "pystra.mc.ImportanceSampling", "current": "pystra.reliability.importance_sampling.ImportanceSampling", "kind": "class", "status": "unchanged", "notes": "Assigning form after construction takes effect; None restores internal reruns. Log likelihood ratios include the proposal determinant, and log weight sums preserve beta and relative uncertainty when probabilities underflow." }, { "old": "pystra.mc.ImportanceSampling.__init__", "current": "pystra.reliability.importance_sampling.ImportanceSampling.__init__", "kind": "callable", "status": "unchanged", "keyword_renames": { "stochastic_model": "model", "analysis_options": "options", "limitstate": "limit_state" }, "positional_limit": 2 }, { "old": "pystra.mc.ImportanceSampling.run", "current": "pystra.reliability.importance_sampling.ImportanceSampling.run", "kind": "callable", "status": "unchanged" }, { "old": "pystra.mc.ImportanceSampling.showResults", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SimulationResult" ], "notes": "Read the result record: summary()." }, { "old": "pystra.mc.DistributionAnalysis", "current": "pystra.reliability.monte_carlo.DistributionAnalysis", "kind": "class", "status": "unchanged" }, { "old": "pystra.mc.DistributionAnalysis.__init__", "current": "pystra.reliability.monte_carlo.DistributionAnalysis.__init__", "kind": "callable", "status": "unchanged", "keyword_renames": { "stochastic_model": "model", "analysis_options": "options", "limitstate": "limit_state" }, "positional_limit": 2 }, { "old": "pystra.mc.DistributionAnalysis.run", "current": "pystra.reliability.monte_carlo.DistributionAnalysis.run", "kind": "callable", "status": "unchanged" }, { "old": "pystra.mc.DistributionAnalysis.initializeVariables", "current": "pystra.reliability.monte_carlo.DistributionAnalysis._initialize_variables", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.mc.DistributionAnalysis.computeDataUpdate", "current": "pystra.reliability.monte_carlo.DistributionAnalysis._compute_data_update", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.mc.DistributionAnalysis.computeDistributionData", "current": "pystra.reliability.monte_carlo.DistributionAnalysis._compute_distribution_data", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.mc.DistributionAnalysis.showResults", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.DistributionAnalysisResult" ], "notes": "Read the result record: summary()." }, { "old": "pystra.model.StochasticModel", "current": "pystra.model.StochasticModel", "kind": "class", "status": "unchanged" }, { "old": "pystra.model.StochasticModel.__init__", "current": "pystra.model.StochasticModel.__init__", "kind": "callable", "status": "unchanged", "positional_limit": 1 }, { "old": "pystra.model.StochasticModel.addVariable", "current": "pystra.model.StochasticModel.add_variable", "kind": "callable", "status": "renamed", "notes": "Adding marginals after explicit correlation or copula specification is rejected without changing the model; constants remain allowed." }, { "old": "pystra.model.StochasticModel.constants", "current": "pystra.model.StochasticModel.constants", "kind": "callable", "status": "unchanged" }, { "old": "pystra.model.StochasticModel.names", "current": "pystra.model.StochasticModel.names", "kind": "callable", "status": "unchanged" }, { "old": "pystra.model.StochasticModel.n_marg", "current": "pystra.model.StochasticModel.n_marg", "kind": "callable", "status": "unchanged" }, { "old": "pystra.model.StochasticModel.marginal_distributions", "current": "pystra.model.StochasticModel.marginal_distributions", "kind": "callable", "status": "unchanged" }, { "old": "pystra.model.StochasticModel.correlation", "current": "pystra.model.StochasticModel.correlation", "kind": "callable", "status": "unchanged" }, { "old": "pystra.model.StochasticModel.correlation", "current": "pystra.model.StochasticModel.correlation", "kind": "callable", "status": "unchanged" }, { "old": "pystra.model.StochasticModel.copula", "current": "pystra.model.StochasticModel.copula", "kind": "callable", "status": "unchanged" }, { "old": "pystra.model.StochasticModel.copula", "current": "pystra.model.StochasticModel.copula", "kind": "callable", "status": "unchanged" }, { "old": "pystra.model.StochasticModel.modified_correlation", "current": "pystra.model.StochasticModel.modified_correlation", "kind": "callable", "status": "unchanged" }, { "old": "pystra.model.StochasticModel.modified_correlation", "current": "pystra.model.StochasticModel.modified_correlation", "kind": "callable", "status": "unchanged" }, { "old": "pystra.model.StochasticModel.call_function", "current": "pystra.model.StochasticModel.call_function", "kind": "callable", "status": "unchanged" }, { "old": "pystra.model.StochasticModel.call_function", "current": "pystra.model.StochasticModel.call_function", "kind": "callable", "status": "unchanged" }, { "old": "pystra.model.StochasticModel.getConstants", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.model.StochasticModel" ], "notes": "Use the read-only constants mapping." }, { "old": "pystra.model.StochasticModel.getVariables", "current": "pystra.model.StochasticModel.get_variables", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.StochasticModel.getVariable", "current": "pystra.model.StochasticModel.variable", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.StochasticModel.getNames", "current": "pystra.model.StochasticModel.get_names", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.StochasticModel.getLenMarginalDistributions", "current": "pystra.model.StochasticModel.get_len_marginal_distributions", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.StochasticModel.getMarginalDistributions", "current": "pystra.model.StochasticModel.get_marginal_distributions", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.StochasticModel.setMarginalDistributions", "current": "pystra.model.StochasticModel.set_marginal_distributions", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.StochasticModel.setCorrelation", "current": "pystra.model.StochasticModel.set_correlation", "kind": "callable", "status": "renamed", "notes": "Correlation dimensions must match the existing random variables; invalid input leaves dependence unchanged." }, { "old": "pystra.model.StochasticModel.getCorrelation", "current": "pystra.model.StochasticModel.get_correlation", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.StochasticModel.setCopula", "current": "pystra.model.StochasticModel.set_copula", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.StochasticModel.getCopula", "current": "pystra.model.StochasticModel.get_copula", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.StochasticModel.getJointDistribution", "current": "pystra.model.StochasticModel.get_joint_distribution", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.StochasticModel.setModifiedCorrelation", "current": "pystra.model.StochasticModel.set_modified_correlation", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.StochasticModel.getModifiedCorrelation", "current": "pystra.model.StochasticModel.get_modified_correlation", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.StochasticModel.addCallFunction", "current": "pystra.model.StochasticModel.add_call_function", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.StochasticModel.getCallFunction", "current": "pystra.model.StochasticModel.get_call_function", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.LimitState", "current": "pystra.model.LimitState", "kind": "class", "status": "unchanged" }, { "old": "pystra.model.LimitState.__init__", "current": "pystra.model.LimitState.__init__", "kind": "callable", "status": "unchanged", "positional_limit": 1 }, { "old": "pystra.model.LimitState.getExpression", "current": "pystra.model.LimitState.get_expression", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.LimitState.setExpression", "current": "pystra.model.LimitState.set_expression", "kind": "callable", "status": "renamed" }, { "old": "pystra.model.LimitState.evaluate_lsf", "current": null, "kind": "callable", "status": "replaced", "notes": "Public evaluate takes a point (n_variables,) or row batch (n_samples, n_variables), returning scalar/batch values and matching gradients. Square batches are rows; transpose legacy column batches explicitly. Internal column kernels are private.", "replacements": [ "pystra.model.LimitState.evaluate" ] }, { "old": "pystra.model.LimitState.evaluate_nogradient", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.model.LimitState.evaluate" ], "notes": "Private evaluation helpers of LimitState.evaluate in 2.0; the limit state keeps no evaluation state." }, { "old": "pystra.model.LimitState.evaluate_ffd", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.model.LimitState.evaluate" ], "notes": "Private evaluation helpers of LimitState.evaluate in 2.0; the limit state keeps no evaluation state." }, { "old": "pystra.model.LimitState.evaluate_ddm", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.model.LimitState.evaluate" ], "notes": "Private evaluation helpers of LimitState.evaluate in 2.0; the limit state keeps no evaluation state." }, { "old": "pystra.model.LimitState.compute_lsf", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.model.LimitState.evaluate" ], "notes": "Private evaluation helpers of LimitState.evaluate in 2.0; the limit state keeps no evaluation state." }, { "old": "pystra.quadrature.quadratureRule", "current": "pystra._numerics.quadrature.quadrature_rule", "kind": "callable", "status": "renamed" }, { "old": "pystra.sensitivity.SensitivityAnalysis", "current": "pystra.reliability.sensitivity.SensitivityAnalysis", "kind": "class", "status": "unchanged" }, { "old": "pystra.sensitivity.SensitivityAnalysis.__init__", "current": "pystra.reliability.sensitivity.SensitivityAnalysis.__init__", "kind": "callable", "status": "unchanged", "keyword_renames": { "stochastic_model": "model", "analysis_options": "options", "limitstate": "limit_state" }, "positional_limit": 2 }, { "old": "pystra.sensitivity.SensitivityAnalysis.run", "current": "pystra.reliability.sensitivity.SensitivityAnalysis.run", "kind": "callable", "status": "unchanged" }, { "old": "pystra.sensitivity.SensitivityAnalysis.run_form", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.reliability.sensitivity.SensitivityAnalysis.run" ], "notes": "The method and delta are constructor arguments; run() takes none." }, { "old": "pystra.sensitivity.SensitivityAnalysis.summary", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SensitivityResult.to_dataframe" ], "notes": "Read the result record: to_dataframe()." }, { "old": "pystra.sensitivity.SensitivityAnalysis._numerical_sens", "current": "pystra.reliability.sensitivity.SensitivityAnalysis._numerical_sens", "kind": "callable", "status": "unchanged" }, { "old": "pystra.sensitivity.SensitivityAnalysis._cf_sens", "current": "pystra.reliability.sensitivity.SensitivityAnalysis._cf_sens", "kind": "callable", "status": "unchanged" }, { "old": "pystra.sensitivity.SensitivityAnalysis._compute_dR0_dtheta", "current": "pystra.reliability.sensitivity.SensitivityAnalysis._compute_d_r0_dtheta", "kind": "callable", "status": "renamed" }, { "old": "pystra.sensitivity.SensitivityAnalysis._select_nIP", "current": "pystra.reliability.sensitivity.SensitivityAnalysis._select_n_ip", "kind": "callable", "status": "renamed" }, { "old": "pystra.sorm.Sorm", "current": "pystra.reliability.sorm.SORM", "kind": "class", "status": "renamed", "notes": "Assigning form after construction selects the supplied FORM; None requests fresh internal FORM on every run. Correction probabilities, Mills ratios and equivalent beta use log space, retaining finite beta when the reported probability underflows." }, { "old": "pystra.sorm.Sorm.__init__", "current": "pystra.reliability.sorm.SORM.__init__", "kind": "callable", "status": "renamed", "keyword_renames": { "stochastic_model": "model", "analysis_options": "options", "limitstate": "limit_state" }, "positional_limit": 2 }, { "old": "pystra.sorm.Sorm._reset_results", "current": "pystra.reliability.sorm.SORM._reset_results", "kind": "callable", "status": "renamed" }, { "old": "pystra.sorm.Sorm._prepare_run", "current": "pystra.reliability.sorm.SORM._prepare_run", "kind": "callable", "status": "renamed" }, { "old": "pystra.sorm.Sorm.run", "current": "pystra.reliability.sorm.SORM.run", "kind": "callable", "status": "renamed", "notes": "Internally generated FORM is refreshed each run. Supplied FORM requires the same model/expression and unchanged parameter/options state. 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"pystra.reliability.sorm.SORM._pf_breitung", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.sorm.Sorm.pf_breitung_m", "current": "pystra.reliability.sorm.SORM._pf_breitung_m", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.sorm.Sorm.showResults", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SORMResult" ], "notes": "Read the result record: summary()." }, { "old": "pystra.sorm.Sorm.showDetailedOutput", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SORMResult" ], "notes": "Read the result record: summary() and to_dataframe()." }, { "old": "pystra.sorm.Sorm.computeHessian", "current": "pystra.reliability.sorm.SORM._compute_hessian", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.sorm.Sorm.evaluateLSF", "current": "pystra.reliability.sorm.SORM._evaluate_lsf", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.sorm.Sorm.orthonormal_matrix", "current": "pystra.reliability.sorm.SORM._orthonormal_matrix", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.sorm.Sorm.gram_schmidt", "current": "pystra.reliability.sorm.SORM._gram_schmidt", "kind": "callable", "status": "renamed", "notes": "Private in 2.0: an implementation stage of run()." }, { "old": "pystra.ss.SubsetSimulation", "current": "pystra.reliability.subset_simulation.SubsetSimulation", "kind": "class", "status": "unchanged" }, { "old": "pystra.ss.SubsetSimulation.__init__", "current": "pystra.reliability.subset_simulation.SubsetSimulation.__init__", "kind": "callable", "status": "unchanged", "keyword_renames": { "stochastic_model": "model", "analysis_options": "options", "limitstate": "limit_state" }, "positional_limit": 2 }, { "old": "pystra.ss.SubsetSimulation.run", "current": "pystra.reliability.subset_simulation.SubsetSimulation.run", "kind": "callable", "status": "unchanged" }, { "old": "pystra.ss.SubsetSimulation._finalise", "current": "pystra.reliability.subset_simulation.SubsetSimulation._finalise", "kind": "callable", "status": "unchanged" }, { "old": "pystra.ss.SubsetSimulation._eval_g_batch", "current": "pystra.reliability.subset_simulation.SubsetSimulation._eval_g_batch", "kind": "callable", "status": "unchanged" }, { "old": "pystra.ss.SubsetSimulation._mmh_step", "current": "pystra.reliability.subset_simulation.SubsetSimulation._mmh_step", "kind": "callable", "status": "unchanged" }, { "old": "pystra.ss.SubsetSimulation.getBeta", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SimulationResult" ], "notes": "Read the result record: beta (FORM's geometric index is design_index)." }, { "old": "pystra.ss.SubsetSimulation.getFailure", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SimulationResult" ], "notes": "Read the result record: failure_probability." }, { "old": "pystra.ss.SubsetSimulation.showResults", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SimulationResult" ], "notes": "Read the result record: summary()." }, { "old": "pystra.strong_maximum.StrongMaximumTest", "current": "pystra.reliability.strong_maximum.StrongMaximumTest", "kind": "class", "status": "unchanged" }, { "old": "pystra.strong_maximum.StrongMaximumTest.__init__", "current": "pystra.reliability.strong_maximum.StrongMaximumTest.__init__", "kind": "callable", "status": "unchanged", "keyword_renames": { "stochastic_model": "model", "analysis_options": "options", "limitstate": "limit_state" }, "positional_limit": 1 }, { "old": "pystra.strong_maximum.StrongMaximumTest._positive_integer", "current": "pystra.reliability.strong_maximum.StrongMaximumTest._positive_integer", "kind": "callable", "status": "unchanged" }, { "old": "pystra.strong_maximum.StrongMaximumTest._clear_results", "current": "pystra.reliability.strong_maximum.StrongMaximumTest._clear_results", "kind": "callable", "status": "unchanged" }, { "old": "pystra.strong_maximum.StrongMaximumTest._evaluate", "current": "pystra.reliability.strong_maximum.StrongMaximumTest._evaluate", "kind": "callable", "status": "unchanged" }, { "old": "pystra.strong_maximum.StrongMaximumTest.run", "current": "pystra.reliability.strong_maximum.StrongMaximumTest.run", "kind": "callable", "status": "unchanged" }, { "old": "pystra.strong_maximum.StrongMaximumTest.getPoints", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.StrongMaximumResult" ], "notes": "Read the result record: points()." }, { "old": "pystra.strong_maximum.StrongMaximumTest.getValues", "current": null, "kind": "callable", "status": 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"current": "pystra.systems.KOfNSystem.__init__", "kind": "callable", "status": "renamed", "positional_limit": 3 }, { "old": "pystra.system.KofNSystem._combine", "current": "pystra.systems.KOfNSystem._combine", "kind": "callable", "status": "renamed" }, { "old": "pystra.system.CutSetSystem", "current": "pystra.systems.CutSetSystem", "kind": "class", "status": "unchanged" }, { "old": "pystra.system.CutSetSystem.__init__", "current": "pystra.systems.CutSetSystem.__init__", "kind": "callable", "status": "unchanged", "positional_limit": 3 }, { "old": "pystra.system.CutSetSystem._combine", "current": "pystra.systems.CutSetSystem._combine", "kind": "callable", "status": "unchanged" }, { "old": "pystra.system.TieSetSystem", "current": "pystra.systems.TieSetSystem", "kind": "class", "status": "unchanged" }, { "old": "pystra.system.TieSetSystem.__init__", "current": "pystra.systems.TieSetSystem.__init__", "kind": "callable", "status": "unchanged", "positional_limit": 3 }, { "old": 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"pystra.systems._unique_components", "kind": "callable", "status": "unchanged" }, { "old": "pystra.system._resolve_component_sets", "current": "pystra.systems._resolve_component_sets", "kind": "callable", "status": "unchanged" }, { "old": "pystra.system._component_catalogue", "current": "pystra.systems._component_catalogue", "kind": "callable", "status": "unchanged" }, { "old": "pystra.system._intersection_matrix", "current": "pystra.systems._intersection_matrix", "kind": "callable", "status": "unchanged" }, { "old": "pystra.system._ditlevsen_bounds_for_order", "current": "pystra.systems._ditlevsen_bounds_for_order", "kind": "callable", "status": "unchanged" }, { "old": "pystra.system._clip_probability", "current": "pystra.systems._clip_probability", "kind": "callable", "status": "unchanged" }, { "old": "pystra.system_form.SystemFORM", "current": "pystra.reliability.system_form.SystemFORM", "kind": "class", "status": "unchanged" }, { "old": "pystra.system_form.SystemFORM.__init__", "current": "pystra.reliability.system_form.SystemFORM.__init__", "kind": "callable", "status": "unchanged", "keyword_renames": { "stochastic_model": "model", "analysis_options": "options" }, "positional_limit": 2 }, { "old": "pystra.system_form.SystemFORM._clear_results", "current": "pystra.reliability.system_form.SystemFORM._clear_results", "kind": "callable", "status": "unchanged" }, { "old": "pystra.system_form.SystemFORM._cdf", "current": "pystra.reliability.system_form.SystemFORM._cdf", "kind": "callable", "status": "unchanged" }, { "old": "pystra.system_form.SystemFORM.run", "current": "pystra.reliability.system_form.SystemFORM.run", "kind": "callable", "status": "unchanged" }, { "old": "pystra.system_form.SystemFORM.getFailure", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SystemFORMResult" ], "notes": "Read the result record: failure_probability." }, { "old": "pystra.system_form.SystemFORM.getBeta", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SystemFORMResult" ], "notes": "Read the result record: beta (FORM's geometric index is design_index)." }, { "old": "pystra.system_form.SystemFORM.showResults", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.results.SystemFORMResult" ], "notes": "Read the result record: summary()." }, { "old": "pystra.transformation.Transformation", "current": "pystra.dependence.transformation.Transformation", "kind": "class", "status": "unchanged" }, { "old": "pystra.transformation.Transformation.__init__", "current": "pystra.dependence.transformation.Transformation.__init__", "kind": "callable", "status": "unchanged", "positional_limit": 1 }, { "old": "pystra.transformation.Transformation.x_to_u", "current": "pystra.dependence.transformation.Transformation.x_to_u", "kind": "callable", "status": "unchanged" }, { "old": "pystra.transformation.Transformation.u_to_x", "current": "pystra.dependence.transformation.Transformation.u_to_x", "kind": "callable", "status": "unchanged" }, { "old": "pystra.transformation.Transformation.jacobian", "current": null, "kind": "callable", "status": "replaced", "replacements": [ "pystra.dependence.transformation.Transformation.jacobian_u_wrt_x", "pystra.dependence.transformation.Transformation.jacobian_x_wrt_u" ], "notes": "Directed derivatives replace ambiguous jacobian: rows are output coordinates, columns input coordinates, in model variable order." }, { "old": "pystra.transformation.Transformation.compute", "current": "pystra.dependence.transformation.Transformation.compute", "kind": "callable", "status": "unchanged" }, { "old": "pystra.transformation.Transformation._computeCholesky", "current": "pystra.dependence.transformation.Transformation._compute_cholesky", "kind": "callable", "status": "renamed" }, { "old": "pystra.transformation.Transformation._computeSVD", "current": "pystra.dependence.transformation.Transformation._compute_svd", "kind": "callable", "status": "renamed" } ], "active_learning_additions": { "exports": [ "PCKrigingSurrogate", "PCKrigingFitResult", "EnsembleSurrogate", "EnsembleLearningFunction", "FBRLearning", "BootstrapBounds", "ImportanceSamplingEstimator", "ImportanceSamplingDiagnostics" ], "import_module": "pystra.active_learning", "named_surrogate": "pc_kriging", "named_learning_function": "fbr", "replicate_contract": "EnsembleSurrogate.predict_replicates: row-wise (n_points, n_replicates>=2), stable replicate columns across calls", "new_history_field": "LearningStep.bootstrap_probability_band: optional immutable pair of actual replicate Pf extremes on fixed IID normal enrichment", "default_change": "FBR defaults to BootstrapBounds; existing U/EFF defaults unchanged", "restrictions": "BootstrapBounds requires an EnsembleSurrogate and fixed IID normal enrichment; spherical Student-t coordinates remain unsupported." }, "baseline_context": "Integrated v2 development source, including feature PRs that remain unmerged in 1.x. Old names describe this numerical/refactoring checkpoint, not necessarily a released 1.x API.", "plotting_additions": { "module": "pystra.plotting", "functions": [ "plot_limit_state", "plot_form_geometry", "plot_surrogate_slice", "plot_learning_history", "plot_pce_selection", "plot_strong_maximum" ], "contract": "Functions return (figure, axes), accept existing axes, and do not run or refit analyses. Grid/slice true-model evaluations are explicit additional plotting cost; coordinates and diagnostic meanings are documented." }, "script_converter": { "command": "python -m pystra.migrate", "default": "dry-run unified diffs; --write applies edits", "module_paths": { "pystra.analysis": "pystra.reliability.analysis", "pystra.form": "pystra.reliability.form", "pystra.sorm": "pystra.reliability.sorm", "pystra.mc": "pystra.reliability.monte_carlo", "pystra.ls": "pystra.reliability.line_sampling", "pystra.ss": "pystra.reliability.subset_simulation", "pystra.sensitivity": "pystra.reliability.sensitivity", "pystra.correlation": "pystra.dependence.correlation", "pystra.transformation": "pystra.dependence.transformation", "pystra.loadcomb": "pystra.loads", "pystra.copula": "pystra.dependence.copula", "pystra.joint": "pystra.dependence.joint", "pystra.system": "pystra.systems", "pystra.system_form": "pystra.reliability.system_form", "pystra.strong_maximum": "pystra.reliability.strong_maximum", 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