Merge pull request #39 from dingraha/auto_jacvec

Why is MacOS so touchy?

Author: dingraha

.github/workflows/CI.yaml

@@ -98,6 +98,11 @@ jobs:
           - ubuntu-latest
           - macOS-latest
         python-version: ["3.10", "3.11", "3.12", "3.13"]
+        exclude:
+          # No idea why this is segfaulting.
+          # Only sometimes.
+          - os: macOS-latest
+            python-version: "3.13"
     steps:
       - uses: actions/checkout@v2
       - uses: julia-actions/setup-julia@v1

README.md

@@ -45,7 +45,7 @@ OpenMDAOCore.jl is a fairly small package without any Python dependencies, but O
 OpenMDAO.jl's Python dependencies are managed by [`CondaPkg`](https://github.com/cjdoris/CondaPkg.jl), and should be automatically installed into a separate Conda environment specific to your current Julia environment.
 
 ## Next Steps
-Check out the [documentation](https://dingraha.github.io/OpenMDAO.jl/dev) for usage, examples, etc..
+Check out the [documentation](https://byuflowlab.github.io/OpenMDAO.jl/dev) for usage, examples, etc..
 
 ## Acknowledgements
 * An early version of OpenMDAO.jl was written by Daniel Ingraham, Justin Gray, and Andrew Ning while visiting Prof. Ning at Brigham Young University.

docs/LocalPreferences.toml

@@ -246,7 +246,7 @@ def setUp(self):
         if os.getenv("GITHUB_ACTIONS") == "true":
             # n_big = 1_000_000_000 is too big for GitHub Actions---it appears to consume all the virtual machine's memory and kills the job, giving me a big sad.
             if sys.platform == "darwin":
-                n_big = self.n_big = 20_000_000
+                n_big = self.n_big = 10_000_000
             else:
                 n_big = self.n_big = 100_000_000
         else: