[MNT] python 3.14 compatibility and python 3.9 end-of-life (#202)

* removes support for python 3.9 which has reached end-of-life
* adds support for python 3.14

`sktime` is not yet compatible with 3.14, this is handled with a
condition on python.

(we need to see if anything fails, before merging)

---------

Co-authored-by: Simon Blanke <simon.blanke.opensource@gmail.com>
Co-authored-by: Simon Blanke <simon.blanke@yahoo.com>

Author: fkiraly

.github/workflows/test.yml

@@ -57,7 +57,7 @@ jobs:
     name: test-no-extras
     strategy:
       matrix:
-        python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
         os: ["macos-latest", "windows-latest", "ubuntu-latest"]
         exclude:
           - os: "windows-latest"
@@ -94,7 +94,7 @@ jobs:
     name: test-all-extras
     strategy:
       matrix:
-        python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
         os: ["macos-latest", "windows-latest", "ubuntu-latest"]
         exclude:
           - os: "windows-latest"
@@ -135,7 +135,7 @@ jobs:
       fail-fast: false
       matrix:
         sklearn-version: ["1.5", "1.6", "1.7"]
-        python-version: ["3.11", "3.12", "3.13"]
+        python-version: ["3.11", "3.12", "3.13", "3.14"]
 
     steps:
       - uses: actions/checkout@v4
@@ -148,7 +148,7 @@ jobs:
       - name: Install dependencies for scikit-learn ${{ matrix.sklearn-version }}
         run: |
           python -m pip install --upgrade pip
-          python -m pip install .[all_extras,test] scikit-learn==${{ matrix.sklearn-version }}
+          python -m pip install .[all_extras,test] scikit-learn==${{ matrix.sklearn-version }}.*
 
       - name: Show dependencies
         run: python -m pip list

pyproject.toml

@@ -10,7 +10,7 @@ name = "hyperactive"
 version = "5.0.2"
 description = "An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models."
 readme = "README.md"
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 license = {file = "LICENSE"}
 keywords = ["visualization", "data-science"]
 authors = [
@@ -21,11 +21,11 @@ maintainers = [
 ]
 classifiers=[
     "Programming Language :: Python :: 3",
-    "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",
     "License :: OSI Approved :: MIT License",
     "Operating System :: OS Independent",
     "Topic :: Scientific/Engineering :: Information Analysis",
@@ -51,7 +51,7 @@ sklearn-integration = [
 ]
 sktime-integration = [
   "skpro",
-  "sktime",
+  'sktime; python_version < "3.14"',
 ]
 build = [
   "setuptools",
@@ -63,7 +63,7 @@ test = [
   "flake8",
   "pytest-cov",
   "pathos",
-  "torch",
+  'torch; python_version < "3.14"',
   "tf_keras",
 ]
 test_parallel_backends = [
@@ -87,7 +87,7 @@ all_extras = [
 [tool.ruff]
 line-length = 88
 exclude = [".git", "examples/*"]
-target-version = "py39"
+target-version = "py310"
 extend-include = ["*.ipynb"]
 
 [tool.ruff.lint]

src/hyperactive/experiment/integrations/torch_lightning_experiment.py

@@ -187,7 +187,7 @@ def _evaluate(self, params):
                 )
             if hasattr(val_result, "item"):
                 val_result = np.float64(val_result.detach().cpu().item())
-            elif isinstance(val_result, (int, float)):
+            elif isinstance(val_result, int | float):
                 val_result = np.float64(val_result)
             else:
                 val_result = np.float64(float(val_result))

src/hyperactive/opt/optuna/_gp_optimizer.py

@@ -59,7 +59,7 @@ class GPOptimizer(_BaseOptunaAdapter):
         "info:local_vs_global": "global",
         "info:explore_vs_exploit": "exploit",
         "info:compute": "high",
-        "python_dependencies": ["optuna"],
+        "python_dependencies": ["optuna", "torch"],
     }
 
     def __init__(