Merge branch 'master' into master

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 3.31.2-dev
+current_version = 3.32.1-dev
 commit = False
 tag = False
 parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\-(?P<release>[a-z]+))?

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -23,7 +23,7 @@ body:
     attributes:
       label: OpenMDAO Version
       description: What version of OpenMDAO is being used.
-      placeholder: "3.31.2-dev"
+      placeholder: "3.32.1-dev"
     validations:
       required: true
   - type: textarea

.github/workflows/openmdao_audit.yml

@@ -111,13 +111,13 @@ jobs:
           echo "Scan environment for pypi packages with known vulnerabilities"
           echo "found in the Python Packaging Advisory Database"
           echo "======================================================================="
-          python -m pip_audit -s pypi --ignore-vuln GHSA-hcpj-qp55-gfph
+          python -m pip_audit -s pypi
 
           echo "======================================================================="
           echo "Scan environment for packages with known vulnerabilities"
           echo "found in the Open Source Vulnerability database"
           echo "======================================================================="
-          python -m pip_audit -s osv --ignore-vuln GHSA-hcpj-qp55-gfph
+          python -m pip_audit -s osv
 
       - name: Notify slack
         uses: act10ns/slack@v2.0.0

openmdao/__init__.py

@@ -1,3 +1,3 @@
-__version__ = '3.31.2-dev'
+__version__ = '3.32.1-dev'
 
 INF_BOUND = 1.0E30

openmdao/docs/openmdao_book/tests/jupyter_gui_test.py

@@ -1,39 +1,24 @@
 """Test Jupyter doc GUI mods specific to OpenMDAO using Playwright."""
 import asyncio
 from aiounittest import async_test
-import contextlib
 import http.server
 import os
 import pathlib
-import socket
 import sys
 import threading
 import unittest
 
+
 from playwright.async_api import async_playwright
 
 if 'win32' in sys.platform:
     # Windows specific event-loop policy & cmd
     asyncio.set_event_loop_policy(asyncio.WindowsProactorEventLoopPolicy())
 
-from openmdao.utils.gui_testing_utils import _GuiTestCase
+from openmdao.utils.gui_testing_utils import _GuiTestCase, get_free_port
 
 HEADLESS = True  # Set to False if you want to see the browser
 
-def get_free_port():
-    """
-    Get a free port.
-
-    Returns
-    -------
-    port : int
-        a free port
-    """
-    with contextlib.closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as _socket:
-        _socket.bind(('', 0))
-        _, port = _socket.getsockname()
-        return port
-
 # Only can test if the docs have been built
 @unittest.skipUnless(pathlib.Path(__file__).parent.parent.joinpath("_build").exists(),
                      "Cannot test without docs being built")

openmdao/drivers/pyoptsparse_driver.py

@@ -253,7 +253,7 @@ def _declare_options(self):
                              desc='Title of this optimization run')
         self.options.declare('print_opt_prob', types=bool, default=False,
                              desc='Print the opt problem summary before running the optimization')
-        self.options.declare('print_results', types=bool, default=True,
+        self.options.declare('print_results', types=(bool, str), default=True,
                              desc='Print pyOpt results if True')
         self.options.declare('gradient_method', default='openmdao',
                              values={'openmdao', 'pyopt_fd', 'snopt_fd'},
@@ -646,7 +646,14 @@ def run(self):
         # Print results
         if self.options['print_results']:
             if not MPI or model.comm.rank == 0:
-                print(sol)
+                if self.options['print_results'] == 'minimal':
+                    if hasattr(sol, 'summary_str'):
+                        print(sol.summary_str(minimal_print=True))
+                    else:
+                        print('minimal_print is not available for this solution')
+                        print(sol)
+                else:
+                    print(sol)
 
         # Pull optimal parameters back into framework and re-run, so that
         # framework is left in the right final state

openmdao/drivers/tests/test_pyoptsparse_driver.py

@@ -623,6 +623,41 @@ def test_simple_paraboloid_linear_with_y_intercept_ineq(self):
         assert_near_equal(prob['x'], 19.5, 1e-6)
         assert_near_equal(prob['y'], 5.5, 1e-6)
 
+    def test_minimal_print(self):
+        prob = om.Problem()
+        model = prob.model
+
+        model.set_input_defaults('x', 50.0)
+        model.set_input_defaults('y', 50.0)
+        model.set_input_defaults('z', 0)
+
+        parab = om.ExecComp('f_xy = (x-3.0)**2 + x*y + (y+4.0)**2 - 3.0 + z')
+
+        model.add_subsystem('comp', parab, promotes=['*'])
+        model.add_subsystem('con', om.ExecComp('c = x + y - 25.0'), promotes=['*'])
+
+        prob.set_solver_print(level=0)
+
+        prob.driver = om.pyOptSparseDriver()
+        prob.driver.options['optimizer'] = OPTIMIZER
+
+        model.add_design_var('x', lower=-50.0, upper=50.0)
+        model.add_design_var('y', lower=-50.0, upper=50.0)
+        model.add_design_var('z', lower=-50.0, upper=0)
+        model.add_objective('f_xy')
+        model.add_constraint('c', lower=25)
+        model.add_constraint('x', upper=30)
+        model.add_constraint('y', upper=0)
+        model.add_constraint('z', upper=50)
+
+        prob.setup()
+        prob.driver.options['print_results'] = True
+        prob.run_driver()
+
+        prob.setup()
+        prob.driver.options['print_results'] = 'minimal'
+        prob.run_driver()
+
     def test_simple_array_comp2D(self):
 
         prob = om.Problem()

openmdao/utils/gui_testing_utils.py

@@ -1,5 +1,7 @@
 """Define utils for use in testing GUIs with Playwright."""
 
+import contextlib
+import socket
 import unittest
 
 
@@ -104,3 +106,18 @@ async def get_handle(self, selector):
                              selector + "' in the N2 diagram.")
 
         return handle
+
+
+def get_free_port():
+    """
+    Get a free port.
+
+    Returns
+    -------
+    int
+        A free port.
+    """
+    with contextlib.closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as _socket:
+        _socket.bind(('', 0))
+        _, port = _socket.getsockname()
+        return port

pyproject.toml

@@ -50,6 +50,8 @@ docs = [
     "numpydoc>=1.1",
     "sphinx-sitemap",
     "idna>=3.7",
+    "jinja2>=3.1.4",
+    "tqdm>=4.66.3"
 ]
 doe = [
     "pyDOE3",

release_notes.md

@@ -1,3 +1,53 @@
+***********************************
+# Release Notes for OpenMDAO 3.32.0
+
+May 03, 2024
+
+OpenMDAO 3.32.0 is a regular update with a few new features and several bug fixes. We're continuing to refine our submodel implementation, and now we give the user explicit access to the subproblem so that they can interact with it
+using the `Problem` API.
+
+POEM 093 is implemented, which allows caching of the linear solution which can improve performance in some situations.
+
+The `assert_near_equal` utility for testing can now be set to only enforce absolute error, in cases where the nominal value is small and relative error isn't meaningful.
+
+We now support scipy's differential evolution optimizer's ability to enforce constraints.
+
+From a Python development perspective we've upgraded from using `setup.py` to using `pyproject.toml`, which should hep users who want to manage OpenMDAO installation with non-pip tools, like `poetry`.
+
+The `openmdao graph` command has been added as a quick way to visualize the call graph in OpenMDAO. This is mostly for debugging purposes as it can get very complex with any sizable model.
+
+## New Features
+
+- Added an 'openmdao graph' command to visualize OpenMDAO's computational graph. [#3163](https://github.com/OpenMDAO/OpenMDAO/pull/3163)
+- Added capability for IVCs to be instantiated with a list of variables [#3204](https://github.com/OpenMDAO/OpenMDAO/pull/3204)
+- Gave user explicit access to the subproblem in SubModelComp [#3191](https://github.com/OpenMDAO/OpenMDAO/pull/3191)
+- Warning in AddSubtractComp for duplicate input names [#3190](https://github.com/OpenMDAO/OpenMDAO/pull/3190)
+- Added ability to force `assert_near_equal` to use absolute error. [#3188](https://github.com/OpenMDAO/OpenMDAO/pull/3188)
+- Added support for constraints when using the SciPy differential evolution optimizer [#3187](https://github.com/OpenMDAO/OpenMDAO/pull/3187)
+- Implementation branch for POEM93 (Linear solution caching) [#3185](https://github.com/OpenMDAO/OpenMDAO/pull/3185)
+
+## Bug Fixes
+
+- Fix pyOptSparse `hotstart_file` `@property` method [#3202](https://github.com/OpenMDAO/OpenMDAO/pull/3202)
+- Fix for a SubmodelComp indexing issue that was preventing data from being copied properly from the outer model to the inner model. [#3192](https://github.com/OpenMDAO/OpenMDAO/pull/3192)
+- Fixed bugs pertaining to the use of aliases in set_constraint_options and set_objective_options. [#3184](https://github.com/OpenMDAO/OpenMDAO/pull/3184)
+- Updated ExternalCodeComp to handle a period in the executable pathname [#3178](https://github.com/OpenMDAO/OpenMDAO/pull/3178)
+- Quick fix for colormap on partials plot [#3175](https://github.com/OpenMDAO/OpenMDAO/pull/3175)
+- Updated ExternalCodeComp to handle path separators in the executable name [#3173](https://github.com/OpenMDAO/OpenMDAO/pull/3173)
+- Fixes a relevance related bug in the krylov solvers that was introduced in a recent relevance PR [#3165](https://github.com/OpenMDAO/OpenMDAO/pull/3165)
+- Fix for bug when 'val' is passed as part of metadata to declare_partials involving residuals. [#3157](https://github.com/OpenMDAO/OpenMDAO/pull/3157)
+- Updated pyoptsparse_driver to address change in pyoptsparse v2.11.0 [#3218](https://github.com/OpenMDAO/OpenMDAO/pull/3218)
+
+## Miscellaneous
+
+- Updated Audit and Test workflows to use `setup-miniconda@v3` [#3210](https://github.com/OpenMDAO/OpenMDAO/pull/3210)
+- Updated dependencies and tests for NumPy/SciPy compatibility [#3198](https://github.com/OpenMDAO/OpenMDAO/pull/3198)
+- Addressed vulnerability in dependency [#3194](https://github.com/OpenMDAO/OpenMDAO/pull/3194)
+- Fixed the temporarily broken search functionality in the docs [#3170](https://github.com/OpenMDAO/OpenMDAO/pull/3170)
+- Added inputs to OpenMDAO Tests workflow_dispatch trigger [#3168](https://github.com/OpenMDAO/OpenMDAO/pull/3168)
+- Replaced `setup.py` with `pyproject.toml` using `hatchling` backend [#3152](https://github.com/OpenMDAO/OpenMDAO/pull/3152)
+
+
 ***********************************
 # Release Notes for OpenMDAO 3.31.1