GEOPY-2898: Investigate edge cells recovered with DC2D inversions

[domfournier]

GEOPY-2898 - Investigate edge cells recovered with DC2D inversions

[Copilot]

Pull request overview

This PR investigates/mitigates edge-cell artifacts in DC2D inversions by constraining boundary cells during optimization, then updates run-tests and dependency locks to reflect the new inversion behavior.

Changes:

• Override 2D driver optimization to keep boundary (and bottom-row) cells fixed at the starting model via bounds + active-set gradient scaling.
• Update DC2D run-tests to validate boundary-cell behavior and refresh expected inversion metrics.
• Update joint-surveys option validation to derive physical property from each group’s driver class; refresh dependency/lock files (including a git-based mira-simpeg pin).

Reviewed changes

Copilot reviewed 17 out of 17 changed files in this pull request and generated 10 comments.

Show a summary per file

File	Description
tests/run_tests/driver_dc_2d_test.py	Updates target metrics and adds an assertion that boundary cells remain at the starting value.
tests/run_tests/driver_dc_2d_rotated_gradients_test.py	Updates expected target metrics for rotated-gradient DC2D run.
simpeg_drivers/joint/joint_surveys/options.py	Determines per-group physical property via the group’s run_command driver class rather than group options.
simpeg_drivers/electricals/induced_polarization/two_dimensions/inversion.py	Reorders base classes so Base2DDriver behavior (e.g., optimization override) takes precedence in MRO.
simpeg_drivers/electricals/direct_current/two_dimensions/inversion.py	Same base-class reorder for DC2D inversion driver.
simpeg_drivers/electricals/base_2d.py	Introduces 2D-specific optimization override and logic to identify and freeze edge/bottom cells.
pyproject.toml	Switches mira-simpeg dependency from version range to a git ref (GEOPY-2898 branch).
py-3.13.conda-lock.yml	Regenerates lock to reflect dependency changes and updated resolution.
py-3.12.conda-lock.yml	Regenerates lock to reflect dependency changes and updated resolution.
environments/py-3.13-win-64.conda.lock.yml	Updates rendered env lock (incl. pip section now pointing at git mira-simpeg).
environments/py-3.13-win-64-dev.conda.lock.yml	Same for dev env.
environments/py-3.13-linux-64.conda.lock.yml	Same for linux env.
environments/py-3.13-linux-64-dev.conda.lock.yml	Same for linux dev env.
environments/py-3.12-win-64.conda.lock.yml	Same for py3.12 win env.
environments/py-3.12-win-64-dev.conda.lock.yml	Same for py3.12 win dev env.
environments/py-3.12-linux-64.conda.lock.yml	Same for py3.12 linux env.
environments/py-3.12-linux-64-dev.conda.lock.yml	Same for py3.12 linux dev env.

---

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

[codecov]

Codecov Report

❌ Patch coverage is 97.22222% with 1 line in your changes missing coverage. Please review.
✅ Project coverage is 90.57%. Comparing base (a42dcd6) to head (57d55e0).

Files with missing lines	Patch %	Lines
simpeg_drivers/electricals/base_2d.py	96.42%	0 Missing and 1 partial ⚠️

Additional details and impacted files

@@                Coverage Diff                 @@
##           release/GA_4.8     #423      +/-   ##
==================================================
+ Coverage           90.55%   90.57%   +0.02%     
==================================================
  Files                 110      110              
  Lines                6508     6539      +31     
  Branches              817      822       +5     
==================================================
+ Hits                 5893     5923      +30     
  Misses                410      410              
- Partials              205      206       +1     

Files with missing lines	Coverage Δ
...tricals/direct_current/two_dimensions/inversion.py	72.72% <100.00%> (ø)
...s/induced_polarization/two_dimensions/inversion.py	72.72% <100.00%> (ø)
simpeg_drivers/joint/joint_surveys/options.py	93.54% <100.00%> (+0.95%)	⬆️
simpeg_drivers/electricals/base_2d.py	98.09% <96.42%> (-0.63%)	⬇️

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.