Ruff fixes (#455)

* Ignore ruff and pre-commit config files

* Add local ruff config

* Add extend configuration to ruff.toml

* Fix whitespace issues

* Fix linting errors in Python files

Author: A-CGray

.github/build_real.sh

@@ -14,4 +14,4 @@ touch  ~/.config/pip/constraints.txt
 pip install .[optview,testing] -v
 
 # move pip constraints file back
-mv ~/.config/pip/constraints.txt.bkup ~/.config/pip/constraints.txt
+mv ~/.config/pip/constraints.txt.bkup ~/.config/pip/constraints.txt

.github/workflows/linux-build.yml

@@ -18,7 +18,7 @@ jobs:
         versions: [{python: "3.10", numpy: "1.22"}, {python: "3.11", numpy: "1.25"}, {python: "3.12", numpy: "2.1"}]
     steps:
       - uses: actions/checkout@v4
-      - uses: actions/setup-python@v5 
+      - uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.versions.python }}
       - name: Install runtime numpy ${{ matrix.versions.numpy }}

.gitignore

@@ -1,4 +1,8 @@
 syntax: glob
+
+# Ignore ruff and pre-commit config files
+.pre-commit-config.yaml
+
 build
 doc/_build
 *.pyc

.zenodo.json

@@ -16,4 +16,4 @@
             "name": "Joaquim R. R. A. Martins"
         }
     ]
-}
+}

doc/_static/pyOptSparse_logo.svg

@@ -15,8 +15,8 @@ The following list summarizes some of the changes/improvements made to pyOpt to
 * User specification of design variable scaling
 * User specification of constraint scaling
 * Design variable returns in dictionary format only
-* Specification of linear constraints, dense or sparse 
-* Sparse non-linear Jacobians 
+* Specification of linear constraints, dense or sparse
+* Sparse non-linear Jacobians
 * New history file format. Uses SQLite dictionaries.
 * Fixed hot start bug where first call to user functions is a gradient. It is now guaranteed, that the first call is to the function evaluation, not the gradient.
 * Various bug fixes in SNOPT

doc/changes.rst

@@ -210,7 +210,7 @@ Linear constraints in pyOptSparse are defined exclusively by ``jac``, ``lower``,
 For linear constraint :math:`g_L \leq Ax + b \leq g_U`, the constraint definition would look like:
 
 .. code-block:: python
-  
+
   optProb.addConGroup("con", num_cons, linear=True, wrt=["xvars"], jac={"xvars": A}, lower=gL - b, upper=gU - b)
 
 Users should not provide the linear constraint values (i.e., :math:`g = Ax + b`) in a user-defined objective/constraint function.
@@ -310,4 +310,4 @@ See the optimizer-specific documentation page for more details.
 
 Postprocessing
 ++++++++++++++
-The result of the optimization is returned in a :class:`pyoptsparse.pyOpt_solution.Solution` object.
+The result of the optimization is returned in a :class:`pyoptsparse.pyOpt_solution.Solution` object.

doc/guide.rst

@@ -12,7 +12,7 @@ Some key features of pyOptSparse include:
 
 
 pyOptSparse is a fork of `pyOpt <http://www.pyopt.org/>`_.
-However, it is not backwards compatible with pyOpt and thus optimization scripts will need to be modified to use pyOptSparse. 
+However, it is not backwards compatible with pyOpt and thus optimization scripts will need to be modified to use pyOptSparse.
 
 Getting Started
 ===============

doc/index.rst

@@ -93,7 +93,7 @@ To install pyOptSparse including those dependencies, run
 
     pip install .[optview]
 
-If you encounter a ``no module named tkinter`` error when trying to run optview, you may need to `install tkinter on your system <https://stackoverflow.com/questions/25905540/importerror-no-module-named-tkinter>`__. 
+If you encounter a ``no module named tkinter`` error when trying to run optview, you may need to `install tkinter on your system <https://stackoverflow.com/questions/25905540/importerror-no-module-named-tkinter>`__.
 
 Testing
 -------

doc/install.rst

@@ -16,4 +16,3 @@ API
 
 .. autoclass:: CONMIN
    :members: __call__
-