Fix: Dependency pinning and upgrade issues

.github/workflows/ci-tests.yml

@@ -20,7 +20,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest, windows-latest]
-        python-version: [3.9, 3.11]
+        python-version: ["3.10", "3.13"]
 
     steps:
     - uses: actions/checkout@v4

CHANGELOG.md

@@ -1,6 +1,16 @@
 # Changelog
 All notable changes to this project will be documented in this file. If you make a notable change to the project, please add a line describing the change to the "unreleased" section. The maintainers will make an effort to keep the [Github Releases](https://github.com/NREL/OpenOA/releases) page up to date with this changelog. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
 
+## v3.1.4 - 2025-12-24
+
+- During the custom test collection, convert the `Path` objects to `str` to avoid issues with the
+  type enforcement of `list[str]` for `args` in Pytest v9.
+- Update PyGAM minimum version for its latest update that includes Python 3.10-3.13 support.
+- Remove maximum version pins for scipy and statsmodels with the support of the latest Python versions.
+- Adds a maximum version for scikit-learn for a change in their `__sklearn_tags__` support.
+- Deprecate support for Python 3.8 and 3.9, with additional support for Python 3.12 and 3.13.
+- Update the min and max versions to test in the testing CI workflow.
+
 ## v3.1.3 - 2025-01-31
 
 - Pin SciPy to >= 1.7 and <1.14 to avoid an incompatibility error with PyGAM.

openoa/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "3.1.3"
+__version__ = "3.1.4"
 
 """
 When bumping version, please be sure to also update parameters in sphinx/conf.py

openoa/utils/filters.py

@@ -103,7 +103,9 @@ def unresponsive_flag(
     flag = flag == 0
 
     # Need to flag preceding `threshold` values as well
-    flag = flag | np.any([flag.shift(-1 - i, axis=0) for i in range(threshold - 1)], axis=0)
+    flag = flag | np.any(
+        [flag.shift(-1 - i, axis=0, fill_value=False) for i in range(threshold - 1)], axis=0
+    )
 
     # Return back a pd.Series if one was provided, else a pd.DataFrame
     return flag[col[0]] if to_series else flag

pyproject.toml

@@ -8,20 +8,20 @@ dynamic = ["version"]
 authors = [{name = "NREL PRUF OA Team", email = "openoa@nrel.gov"}]
 readme = {file = "README.md", content-type = "text/markdown"}
 description = "A package for collecting and assigning wind turbine metrics"
-requires-python = ">=3.8, <3.12"
+requires-python = ">=3.10,<3.14"
 license = {file = "LICENSE.txt"}
 dependencies = [
-    "scikit-learn>=1.0",
+    "scikit-learn>=1.0,<1.7",
     "requests>=2.21.0",
     "eia-python>=1.22",
     "pyproj>=3.5",
     "shapely>=1.8",
     "numpy>=1.24",
     "pandas>=2.2",
-    "pygam>=0.9.0",
-    "scipy>=1.7,<1.14",
+    "pygam>=0.11.0",
+    "scipy>=1.7",
     "statsmodels>=0.11; python_version<'3.11'",
-    "statsmodels>=0.13.3; python_version=='3.11'",
+    "statsmodels>=0.13.3; python_version>='3.11'",
     "tqdm>=4.28.1",
     "matplotlib>=3.6",
     "bokeh>=3.3",
@@ -50,10 +50,11 @@ classifiers = [  # https://pypi.org/classifiers/
     "Operating System :: OS Independent",
     "Programming Language :: Python",
     "Programming Language :: Python :: 3 :: Only",
-    "Programming Language :: Python :: 3.8",
-    "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
+    "Programming Language :: Python :: 3.14",
     "Topic :: Scientific/Engineering",
     "Topic :: Software Development :: Libraries :: Python Modules",
     "Typing :: Typed",

test/conftest.py

@@ -25,8 +25,8 @@ def pytest_configure(config):
     regression = config.getoption("--regression")
 
     # Provide the appropriate directories
-    unit_tests = [el for el in (ROOT / "unit").iterdir() if el.suffix == ".py"]
-    regression_tests = [el for el in (ROOT / "regression").iterdir() if el.suffix == ".py"]
+    unit_tests = [str(el) for el in (ROOT / "unit").iterdir() if el.suffix == ".py"]
+    regression_tests = [str(el) for el in (ROOT / "regression").iterdir() if el.suffix == ".py"]
 
     # If both, run them all; if neither skip any modifications; otherwise run just the appropriate subset
     if regression and unit:

test/unit/test_timeseries_toolkit.py

@@ -145,8 +145,8 @@ def test_percent_nan(self):
         test_dict = {}
 
         # All should be float Series given PlantData requirements
-        test_dict["a"] = pd.Series([True, 1, 2, 1e5, np.Inf]).astype(float)
-        test_dict["b"] = pd.Series([False, np.nan, 2, 1e5, np.Inf]).astype(float)
+        test_dict["a"] = pd.Series([True, 1, 2, 1e5, np.inf]).astype(float)
+        test_dict["b"] = pd.Series([False, np.nan, 2, 1e5, np.inf]).astype(float)
         test_dict["c"] = pd.Series([np.nan, 1, 2, 1e5, np.nan]).astype(float)
 
         nan_values = {"a": 0.0, "b": 0.2, "c": 0.4}