Multi-objective Optimization and Generic Control Design Variables

.github/ISSUE_TEMPLATE/bug_report.md

@@ -7,6 +7,9 @@ assignees: ''
 
 ---
 
+## Before submitting
+- [ ] I ran `conda compare environment.yml` from the WEIS root directory and confirmed my environment matches the requirements (or pasted the output below)
+
 ## Description
 _Describe the bug here_
 
@@ -23,6 +26,12 @@ _Please provide a minimum working example (MWE) if possible_
 ### Expected behavior
 …
 
+### Environment check
+_Paste the output of `conda compare environment.yml` here_
+
+```
+…
+```
 
 ### Code versions
 _List versions only if relevant_

.github/workflows/CI_WEIS.yml

@@ -42,6 +42,7 @@ jobs:
 
       # Enable the next entries to use feature branches of dependencies for CI testing
 
+
       # - name: Add dependencies ubuntu specific
       #   if: false == contains( matrix.os, 'windows')
       #   run: |
@@ -59,7 +60,6 @@ jobs:
       #   run: |
       #     conda remove --force wisdem
       #     pip install https://github.com/NLRWindSystems/WISDEM/archive/develop.zip
-
       # Don't delete after this
 
       # Note- could add mpich through conda, but takes forever to resolve the environment in testing
@@ -109,28 +109,23 @@ jobs:
       #  run: |
       #    pytest --collect-only weis 
 
-      - name: Change examples to test mode
-        run: |
-          cd examples
-          if [[ "$RUNNER_OS" == "macOS" ]]; then
-            find . -type f -name "*.py" -exec sed -i '' 's/TEST_RUN = False/TEST_RUN = True/g' {} +
-          else
-            find . -type f -name "*.py" -exec sed -i 's/TEST_RUN = False/TEST_RUN = True/g' {} +
-          fi
-          head -n 5 02_generate_openfast_model_for_dlcs/iea15_semi_driver.py   # check that the sed command worked       
-
-
       # Run all tests within WEIS, but not computationally expensive examples
       - name: Run tests within WEIS
-        if: false == contains( matrix.os, 'ubuntu') || contains( github.event_name, 'push')
+        env:
+              WEIS_TEST_RUN: "1"
         run: |
-          pytest -p no:warnings --disable-warnings --cov=weis weis
+          if [[ "${{ matrix.os }}" == "ubuntu-latest" ]]; then
+              pytest -p no:warnings --disable-warnings --cov=weis weis
+          else
+              pytest -p no:warnings --disable-warnings weis
+          fi
 
       # Run long tests in on pull request
       - name: Run exhaustive
         if: contains( matrix.os, 'ubuntu') && contains( github.event_name, 'pull_request')
         env:
             RUN_EXHAUSTIVE: 1
+            WEIS_TEST_RUN: "1"
         run: |
             pytest  -p no:warnings -s --disable-warnings  weis
 
@@ -166,6 +161,7 @@ jobs:
         if: contains( matrix.os, 'ubuntu') && contains( github.event_name, 'pull_request')
         env:
             RUN_EXHAUSTIVE: 1
+            WEIS_TEST_RUN: "1"
         run: |
           cd examples/01_simulate_own_openfast_model
           mpiexec -np 2 python dlc_sim_driver.py

README.md

@@ -62,7 +62,7 @@ The installation instructions below use the environment name, "weis-env," but an
         git checkout branch_name                         # (Only if you want to switch branches, say "develop")
         conda env create --name weis-env -f environment.yml
         conda activate weis-env                          # (if this does not work, try source activate weis-env)
-        conda install -y petsc4py mpi4py pyoptsparse     # (Mac / Linux only, sometimes Windows users may need to install mpi4py)
+        conda install -y pyoptsparse     # (Mac / Linux only, sometimes Windows users may need to install mpi4py)
 
 2. If you are NOT on Kestrel, install the software
 
@@ -77,6 +77,10 @@ The installation instructions below use the environment name, "weis-env," but an
 
 For Windows users, we recommend installing `git` and the `m264` packages in separate environments as some of the libraries appear to conflict such that WISDEM cannot be successfully built from source.  The `git` package is best installed in the `base` environment.
 
+For macOS users (Apple Silicon), if you encounter an `AttributeError: partially initialized module 'polars'` error, it is caused by a conflict between the `polars` and `polars-lts-cpu` packages installed by a dependency (`wombat`). Run the following after installation to resolve it:
+
+        pip uninstall -y polars-lts-cpu
+
 ## Developer guide
 
 If you plan to contribute code to WEIS, please first consult the [developer guide](https://weis.readthedocs.io/en/latest/how_to_contribute_code.html).