Bump supported Python interval to [3.10, 3.14], and updated ruff version target to 3.10.

Author: tturocy

.github/workflows/lint.yml

@@ -47,7 +47,7 @@ jobs:
       - uses: actions/checkout@v5
       - uses: actions/setup-python@v6
         with:
-          python-version: "3.12"
+          python-version: "3.14"
       - uses: py-actions/flake8@v2
 
   cython-lint:
@@ -58,7 +58,7 @@ jobs:
       - name: Setup Python
         uses: actions/setup-python@v6
         with:
-          python-version: "3.12"
+          python-version: "3.14"
       - name: Install Python packages
         run: python -m pip install cython-lint
       - name: cython-lint

.github/workflows/python.yml

@@ -10,7 +10,7 @@ jobs:
     if: github.event_name != 'pull_request' || github.event.pull_request.head.repo.full_name != github.event.pull_request.base.repo.full_name
     strategy:
       matrix:
-        python-version: ['3.9', '3.13']
+        python-version: ['3.10', '3.14']
 
     steps:
       - uses: actions/checkout@v5
@@ -39,7 +39,7 @@ jobs:
     if: github.event_name != 'pull_request' || github.event.pull_request.head.repo.full_name != github.event.pull_request.base.repo.full_name
     strategy:
       matrix:
-        python-version: ['3.13']
+        python-version: ['3.14']
 
     steps:
       - uses: actions/checkout@v4
@@ -64,7 +64,7 @@ jobs:
     if: github.event_name != 'pull_request' || github.event.pull_request.head.repo.full_name != github.event.pull_request.base.repo.full_name
     strategy:
       matrix:
-        python-version: ['3.13']
+        python-version: ['3.14']
 
     steps:
       - uses: actions/checkout@v4
@@ -89,7 +89,7 @@ jobs:
     if: github.event_name != 'pull_request' || github.event.pull_request.head.repo.full_name != github.event.pull_request.base.repo.full_name
     strategy:
       matrix:
-        python-version: ['3.13']
+        python-version: ['3.14']
 
     steps:
       - uses: actions/checkout@v5

pyproject.toml

@@ -7,7 +7,7 @@ name = "pygambit"
 version = "16.4.0"
 description = "The package for computation in game theory"
 readme = "src/README.rst"
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 license = "GPL-2.0-or-later"
 authors = [
     {name = "Theodore Turocy", email = "ted.turocy@gmail.com"},
@@ -17,11 +17,11 @@ keywords = ["game theory", "Nash equilibrium"]
 classifiers=[
     "Development Status :: 5 - Production/Stable",
     "Intended Audience :: Science/Research",
-    "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",
     "Programming Language :: Python :: Implementation :: CPython",
     "Topic :: Scientific/Engineering :: Mathematics"
 ]
@@ -41,7 +41,7 @@ Changelog = "https://github.com/gambitproject/gambit/blob/master/ChangeLog"
 [tool.ruff]
 line-length = 99
 indent-width = 4
-target-version = "py39"
+target-version = "py310"
 include = ["setup.py", "src/pygambit/**/*.py", "tests/**/*.py, doc/tutorials/*.ipynb"]
 
 [tool.ruff.lint]

src/pygambit/levelk.py

@@ -97,7 +97,7 @@ def fit_coghier(game, data, min_tau, max_tau, min_lam, max_lam,
     points, to polish the maximizer.
     """
     def log_like(profile, data):
-        return sum(math.log(p) * d for (p, d) in zip(profile, data))
+        return sum(math.log(p) * d for (p, d) in zip(profile, data, strict=True))
 
     def objective(params, game, data):
         penalty = 0.0

src/pygambit/qre.py

@@ -195,14 +195,15 @@ def _empirical_log_logit_probs(lam: float, regrets: list) -> list:
         math.log(sum([math.exp(lam*r) for r in infoset]))
         for infoset in regrets
     ]
-    return [lam*a - s for (r, s) in zip(regrets, log_sums) for a in r]
+    return [lam*a - s for (r, s) in zip(regrets, log_sums, strict=True) for a in r]
 
 
 def _empirical_log_like(lam: float, regrets: list, flattened_data: list) -> float:
     """Given empirical choice regrets and a list of frequencies of choices, compute
     the log-likelihood of the choices given the regrets and assuming the logit
     choice model with lambda `lam`."""
-    return sum([f*p for (f, p) in zip(flattened_data, _empirical_log_logit_probs(lam, regrets))])
+    return sum([f*p for (f, p) in zip(flattened_data, _empirical_log_logit_probs(lam, regrets),
+                                      strict=True)])
 
 
 def _estimate_strategy_empirical(
@@ -219,7 +220,8 @@ def _estimate_strategy_empirical(
     )
     profile = data.game.mixed_strategy_profile()
     for strategy, log_prob in zip(data.game.strategies,
-                                  _empirical_log_logit_probs(res.x[0], regrets)):
+                                  _empirical_log_logit_probs(res.x[0], regrets),
+                                  strict=True):
         profile[strategy] = math.exp(log_prob)
     return LogitQREMixedStrategyFitResult(
         data, "empirical", res.x[0], profile, -res.fun
@@ -239,7 +241,8 @@ def _estimate_behavior_empirical(
         bounds=((0.0, None),)
     )
     profile = data.game.mixed_behavior_profile()
-    for action, log_prob in zip(data.game.actions, _empirical_log_logit_probs(res.x[0], regrets)):
+    for action, log_prob in zip(data.game.actions, _empirical_log_logit_probs(res.x[0], regrets),
+                                strict=True):
         profile[action] = math.exp(log_prob)
     return LogitQREMixedBehaviorFitResult(
         data, "empirical", res.x[0], profile, -res.fun

src/pygambit/util.py

@@ -5,7 +5,7 @@
 
 
 @contextlib.contextmanager
-def make_temporary(content: typing.Optional[str] = None) -> pathlib.Path:
+def make_temporary(content: str | None = None) -> typing.Generator[pathlib.Path, None, None]:
     """Context manager to create a temporary file containing `content', and
     provide the path to the temporary file.