chore: 🔨 Update python Docker tag to v3.14

.github/workflows/pylint.yml

@@ -8,7 +8,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.9", "3.10", "3.11", "3.12"]
+        python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
     steps:
       - name: 🛎️ Checkout repository
         uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5

.github/workflows/python-ci.yml

@@ -40,7 +40,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.9", "3.10", "3.11", "3.12"]
+        python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
         os: [ubuntu-latest, windows-latest, macOS-latest]
         arch: [x64]
     defaults:

.github/workflows/release-cd.yml

@@ -25,7 +25,7 @@ jobs:
       - name: 🐍 Set up Python
         uses: actions/setup-python@e797f83bcb11b83ae66e0230d6156d7c80228e7c # v6
         with:
-          python-version: "3.13"
+          python-version: "3.14"
       - name: 📦 Install dependencies
         run: |
           python -m pip install --upgrade pip

.github/workflows/update-changelog.yaml

@@ -79,7 +79,7 @@ jobs:
       - name: 🐍 Setup Python
         uses: actions/setup-python@e797f83bcb11b83ae66e0230d6156d7c80228e7c # v6
         with:
-          python-version: "3.13"
+          python-version: "3.14"
       - name: 🛠️ Install uv
         uses: astral-sh/setup-uv@d0cc045d04ccac9d8b7881df0226f9e82c39688e # v6
         with:

.gitlab-ci.yml

@@ -1,4 +1,4 @@
-image: python:3.13
+image: python:3.14
 
 include:
   - template: Security/Secret-Detection.gitlab-ci.yml

.gitlab/ci/deploy.yml

@@ -4,7 +4,7 @@ build_check:
   stage: deploy
   tags:
     - shared
-  image: python:3.13
+  image: python:3.14
   before_script:
     - python -m pip install --upgrade pip
     - pip install build

.pre-commit-config.yaml

@@ -50,4 +50,4 @@ repos:
     rev: v3.20.0
     hooks:
       - id: pyupgrade
-        args: [--py39-plus, --keep-percent-format]
+        args: [--py310-plus, --keep-percent-format]

pyproject.toml

@@ -3,7 +3,7 @@ name = "SpectraFit"
 version = "1.4.0"
 description = "Fast fitting of 2D- and 3D-Spectra with established routines"
 authors = [{ name = "Anselm Hahn", email = "anselm.hahn@gmail.com" }]
-requires-python = ">=3.9,<3.14"
+requires-python = ">=3.10,<3.15"
 readme = "README.md"
 license = "BSD-3-Clause"
 maintainers = [{ name = "Anselm Hahn", email = "anselm.hahn@gmail.com" }]
@@ -23,11 +23,11 @@ classifiers = [
   "Framework :: Matplotlib",
   "Framework :: Jupyter :: JupyterLab",
   "Operating System :: OS Independent",
-  "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 :: Physics",
   "Topic :: Scientific/Engineering :: Chemistry",
@@ -161,7 +161,7 @@ build-backend = "hatchling.build"
 fix = true
 include = ["*.py"]
 src = ["spectrafit"]
-target-version = "py39"
+target-version = "py310"
 
 [tool.ruff.lint]
 select = ["ALL"]

spectrafit/api/file_model.py

@@ -2,8 +2,8 @@
 
 from __future__ import annotations
 
+from collections.abc import Callable
 from pathlib import Path
-from typing import Callable
 
 from pydantic import BaseModel
 from pydantic import Field

spectrafit/api/model_utils.py

@@ -6,7 +6,6 @@
 
 from __future__ import annotations
 
-from typing import Optional
 from typing import cast
 
 from spectrafit.api.moessbauer_model import AmplitudeAPI
@@ -37,7 +36,7 @@
 
     if "expr" in data:
         expr_value = data.get("expr")
-        expr = cast("Optional[str]", expr_value)
+        expr = cast("str | None", expr_value)
 
     return AmplitudeAPI(
         max=data.get("max"),
@@ -68,7 +67,7 @@
 
     if "expr" in data:
         expr_value = data.get("expr")
-        expr = cast("Optional[str]", expr_value)
+        expr = cast("str | None", expr_value)
 
     return IsomerShiftAPI(
         max=data.get("max"),
@@ -99,7 +98,7 @@
 
     if "expr" in data:
         expr_value = data.get("expr")
-        expr = cast("Optional[str]", expr_value)
+        expr = cast("str | None", expr_value)
 
     return FwhmlAPI(
         max=data.get("max"),
@@ -130,7 +129,7 @@
 
     if "expr" in data:
         expr_value = data.get("expr")
-        expr = cast("Optional[str]", expr_value)
+        expr = cast("str | None", expr_value)
 
     return BackgroundAPI(
         max=data.get("max"),
@@ -161,7 +160,7 @@
 
     if "expr" in data:
         expr_value = data.get("expr")
-        expr = cast("Optional[str]", expr_value)
+        expr = cast("str | None", expr_value)
 
     return QuadrupoleSplittingAPI(
         max=data.get("max"),
@@ -192,7 +191,7 @@
 
     if "expr" in data:
         expr_value = data.get("expr")
-        expr = cast("Optional[str]", expr_value)
+        expr = cast("str | None", expr_value)
 
     return HyperfineFieldAPI(
         max=data.get("max"),

spectrafit/api/models_model.py

@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import Callable
+from collections.abc import Callable
 
 from pydantic import BaseModel
 from pydantic import Field

spectrafit/api/notebook_model.py

@@ -129,7 +129,7 @@ class ColorAPI(BaseModel):
         description="Color of the components, mainly peaks.",
     )
     bars: list[str] = Field(
-        default=[i for j in zip(Teal_r, Purp_r) for i in j],
+        default=[i for j in zip(Teal_r, Purp_r, strict=False) for i in j],
         description="Color of the bar plot of the metrics.",
     )
     lines: list[str] = Field(

spectrafit/api/test/test_utils_model.py

@@ -2,8 +2,8 @@
 
 from __future__ import annotations
 
+from collections.abc import Callable
 from typing import Any
-from typing import Callable
 
 import numpy as np
 import pytest

spectrafit/models/builtin.py

@@ -1404,6 +1404,7 @@ def define_parameters_auto(self) -> None:  # noqa: C901
                     self.x[positions],
                     properties["peak_heights"],
                     properties["widths"],
+                    strict=False,
                 ),
                 start=1,
             ):
@@ -1434,6 +1435,7 @@ def define_parameters_auto(self) -> None:  # noqa: C901
                     self.x[positions],
                     properties["peak_heights"],
                     properties["widths"],
+                    strict=False,
                 ),
                 start=1,
             ):
@@ -1464,6 +1466,7 @@ def define_parameters_auto(self) -> None:  # noqa: C901
                     self.x[positions],
                     properties["peak_heights"],
                     properties["widths"],
+                    strict=False,
                 ),
                 start=1,
             ):
@@ -1494,6 +1497,7 @@ def define_parameters_auto(self) -> None:  # noqa: C901
                     self.x[positions],
                     properties["peak_heights"],
                     properties["widths"],
+                    strict=False,
                 ),
                 start=1,
             ):
@@ -1524,6 +1528,7 @@ def define_parameters_auto(self) -> None:  # noqa: C901
                     self.x[positions],
                     properties["peak_heights"],
                     properties["widths"],
+                    strict=False,
                 ),
                 start=1,
             ):

spectrafit/models/moessbauer.py

@@ -218,7 +218,7 @@ def moessbauer_sextet(
 
     # Calculate each line and sum them
     spectrum = np.zeros_like(x, dtype=np.float64)
-    for pos, amp in zip(positions, relative_amplitudes):
+    for pos, amp in zip(positions, relative_amplitudes, strict=False):
         line_center = center + isomer_shift + pos
         # For test compatibility - use positive amplitude (absorption peaks)
         # instead of negative (transmission dips)

spectrafit/plugins/notebook.py

@@ -772,6 +772,7 @@ def get_current_metric(self) -> pd.DataFrame:
             for key, val in zip(
                 self.get_regression_metrics["index"],
                 self.get_regression_metrics["data"],
+                strict=False,
             )
         }
         metric = {**gof, **reg}

spectrafit/plugins/test/test_notebook.py

@@ -172,7 +172,7 @@ def mulit_index() -> pd.DataFrame:
             ["bar", "bar", "baz", "baz", "foo", "foo", "qux", "qux"],
             ["one", "two", "one", "two", "one", "two", "one", "two"],
         ]
-        tuples = list(zip(*arrays))
+        tuples = list(zip(*arrays, strict=False))
         index = pd.MultiIndex.from_tuples(tuples, names=["first", "second"])
         df = pd.DataFrame(
             {"A": [1, 2, 3, 4, 5, 6, 7, 8], "B": [10, 20, 30, 40, 50, 60, 70, 80]},

spectrafit/report.py

@@ -6,7 +6,6 @@
 
 from typing import TYPE_CHECKING
 from typing import Any
-from typing import Callable
 from warnings import warn
 
 import numpy as np
@@ -39,6 +38,7 @@
 VERBOSE_DETAILED = 2  # Detailed/verbose output mode
 
 if TYPE_CHECKING:
+    from collections.abc import Callable
     from collections.abc import Hashable
 
     from numpy.typing import NDArray
@@ -170,7 +170,7 @@ def __call__(self) -> dict[Hashable, Any]:
         metric_dict: dict[Hashable, Any] = {}
         for fnc in metrics_fnc:
             metric_dict[fnc.__name__] = []
-            for y_true, y_pred in zip(self.y_true.T, self.y_pred.T):
+            for y_true, y_pred in zip(self.y_true.T, self.y_pred.T, strict=False):
                 try:
                     metric_dict[fnc.__name__].append(fnc(y_true, y_pred))
                 except ValueError as err:

tools/analyze_coverage.py

@@ -7,7 +7,6 @@
 
 from __future__ import annotations
 
-
 import json
 import logging
 import subprocess
@@ -78,8 +77,8 @@ def run_coverage_test() -> None:
         logger.info("%s", result.stdout)
     except subprocess.CalledProcessError as e:
         logger.exception("Error running pytest")
-        logger.error("stdout: %s", e.stdout)
-        logger.error("stderr: %s", e.stderr)
+        logger.exception("stdout: %s", e.stdout)
+        logger.exception("stderr: %s", e.stderr)
         sys.exit(1)