* Automatically update README.md with latest contributors - Thu Jan 29 00:16:27 UTC 2026 * refactor: establish test baseline and modular sweep helpers * refactor: extract database catalog and selection helpers * refactor: isolate contributor environment and HF dataset helpers * refactor: extract analyzer search and enrichment helpers * refactor: isolate github contribution helper functions * refactor: extract qubit-cavity merge helper * refactor: extract analyzer plotting and simulation normalization helpers * refactor: extract contributor validation and half-wave db helpers * refactor: extract database views, state, and contributor file helpers * refactor: modularize core and simulation utility layers * chore: keep README aligned with master during conflict resolution * fix: address refactor review regressions and CI coverage * fix: restore mvp visibility and bump release metadata * fix: address latest copilot review findings * fix: harden payload normalization and review regressions * style: apply pre-commit autofixes for tracked files * fix: address final copilot cleanup comments * fix: address final actionable copilot comments * docs: add drivenmodal HFSS PRD and plan * feat: add drivenmodal foundation models and work log * feat: add drivenmodal ports and checkpoint manifests * feat: add drivenmodal postprocessing helpers * feat: add drivenmodal tutorial runners * fix: avoid pyEPR project path bug in tutorials * fix: avoid eager setup lookup for driven-modal tutorials * fix: populate chip center z for driven-modal designs * fix: normalize driven-modal open pin handling * fix: populate chip metadata for driven-modal hfss * fix: activate driven-modal setup before sweeps * fix: bypass broken hfss setup lookup for sweeps * fix: shorten internal hfss driven-modal design names * fix: use minimal hfss design aliases * fix: avoid eager hfss design reconnect on tutorial reruns * fix: retry driven-modal capacitance solves * fix: isolate tutorial hfss project startup * docs: record tutorial10 windows validation * tune: tighten tutorial10 driven-modal setup * tune: tighten tutorial10 interpolating sweep setup * docs: record tutorial10 v3 validation * tune: raise tutorial10 min converged passes * fix: restore tutorial10 baseline and regularize tutorial11 route * fix: make tutorial11 coupled route render-safe * fix: tune tutorial11 sweep around reference resonance * fix: keep tutorial11 running on unresolved notch fits * fix: retry tutorial11 hfss solves on windows * docs: record tutorial11 validation state * fix: align tutorial11 geometry with tutorial1 * fix: build tutorial11 from windows-safe cavity payload * fix: render tutorial11 with full feedline geometry * feat: add tutorial11 discovery and final sweeps * feat: retry tutorial11 discovery off sweep edges * fix: reset ansys desktop between tutorial11 runs * fix: apply cryogenic silicon to drivenmodal hfss * feat: add qubit port admittance tutorial * fix: use live hfss session for cryo materials * fix: avoid pyaedt library crawl for live materials * fix: edit cryo silicon directly in hfss * feat: add tutorial12 qubit sweep followup * feat: integrate tutorial11 local analysis bundle * feat: add combined drivenmodal hamiltonian tutorials * docs: publish drivenmodal tutorial notebooks * chore: trim internal docs from pr scope * fix: keep ansys simulator setup logs ascii-safe * fix: keep ansys simulation plan output ascii-safe * fix: recompute missing analyzer target columns * fix: tolerate missing interpolated setup payloads * fix: auto-accept setup params in noninteractive runs * fix: reuse live eigenmode material session * style: format analysis search regression test * Revise note about tutorial sequence Updated note to indicate more tutorials are coming soon. * Update release notes for Alpha Version 0.4.4 Added release notes for Alpha Version 0.4.4, detailing new features including drivenmodal simulations and MCP server functionalities. * fix: address copilot review and expand 0.4.4 release notes Address remaining Copilot review comments: - ansys_simulator.update_simulation_setup: guard the update loop against non-dict / missing payloads with the same checks already used in the discovery loop (#5). - drivenmodal/ports._build_port_spec: validate component / pin / metadata before constructing the spec and drop the now-redundant Mapping recheck (#6). - drivenmodal/qubit_admittance.reduce_terminated_port_admittance: treat Z=0 terminations as shorts (no extra Schur term) instead of opens, and collapse to Y_tt when every load is shorted (#4). - utils_ansys / drivenmodal/design: factor a defensive _resolve_material helper that tries checkifmaterialexists first and only mutates objects that actually expose permittivity / dielectric_loss_tangent, so PyAEDT versions where exists_material returns a bool no longer crash on silicon.permittivity assignment (#1, #2, #3, #7). Add regression tests covering the boolean-returning material lookup path, zero-ohm terminated-port reduction, port-spec validation errors, and skipped non-dict setup payloads. Expand the 0.4.4 release notes so the driven-modal HFSS work is documented in proportion to its scope: dedicated sections for the new squadds.simulations.drivenmodal subpackage and exports, the AnsysSimulator hardening (non-dict / EOFError / ASCII-safe output / live-renderer material patching), the new tutorial scripts and docsite notebooks, the scikit-rf runtime dependency, the find_closest / QubitCavity / pyEPR bug fixes, and explicit backwards-compatibility notes for the start_straight default change and the now-actually-applied meander fillet clamp. Made-with: Cursor * docs: add drivenmodal MCP tooling to wish list Made-with: Cursor * fix: scope update_simulation_setup opt-out to each setup key Address Copilot review #3107817392: when the user declines the "add unknown parameters?" prompt, the previous code filtered the kwargs globally, so a parameter that was unknown in setup A but already present in setup B was dropped from B as well. Track which parameters were unknown per setup and only skip them for those setups, so known parameters still get applied where they exist. Add a regression test covering the cross-setup case. Made-with: Cursor * fix: inflate json-string design option sub-payloads in merged df The HuggingFace dataset stores certain nested sub-payloads (cplr_opts, lead, meander) as JSON strings rather than dicts. Downstream ML / tutorial workflows that mutate the analyzer-derived coupled-system dataframe via nested dict access (pred_df.design_options_cavity_claw.iloc[0]["cplr_opts"][k] = v) fail with "TypeError: 'str' object does not support item assignment" because those strings were never inflated. Fix by: - create_qubit_cavity_dataframe now maps deserialize_json_like over design_options_qubit, design_options_cavity_claw, and design_options after the merge, so callers always see dicts. - create_unified_design_options defensively deserializes its two input dicts before convert_numpy so the unified payload stays consistent with the source columns. Add a regression test mirroring the user-reported failure: a cavity dataset whose cplr_opts / lead / meander are JSON strings now merges into a dataframe where those sub-payloads are real dicts. Document the fix in the 0.4.4 bug-fix notes. Made-with: Cursor * docs: fix tutorial-11 code-in-markdown cells and flag AI authorship The unified driven-modal Hamiltonian tutorial had four markdown cells where the intended Python function definitions (build_request, postprocess_qubit_band, postprocess_resonator_band, and build_combined_hamiltonian_table/run_combined_demo) were pasted inside the markdown body and therefore rendered as plain text instead of executable code. Split each of those cells into a markdown explanation plus a real code cell. Also prepend a visible AI-authorship note to the header markdown cells of tutorials 10 and 11 so readers know the current wording is a placeholder. Made-with: Cursor * fix: assign cell ids to split drivenmodal tutorial cells The markdown/code split in the previous commit introduced four new code cells without `id` fields, which breaks test_drivenmodal_tutorial_notebooks_have_intro_and_license_cells (asserts every cell has an id). Populate ids for any cell missing one. Made-with: Cursor --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Pulling all data from analysis result #5

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