Packages update 2025 06

.github/workflows/workflow_actions.yml

@@ -22,11 +22,11 @@ jobs:
   # This workflow contains a single job called "build"
   build:
     # The type of runner that the job will run on
-    runs-on: ubuntu-22.04
+    runs-on: ubuntu-24.04
     strategy:
       fail-fast: false
       matrix:
-        python-version: ['3.9', '3.10', '3.11', '3.12']  # should test the versions we allow for in pyproject.toml
+        python-version: ['3.10', '3.11', '3.12']  # should test the versions we allow for in pyproject.toml
 
     # Steps represent a sequence of tasks that will be executed as part of the job
     steps:
@@ -61,7 +61,7 @@ jobs:
   build_release:
     if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags')
     needs: build
-    runs-on: ubuntu-22.04
+    runs-on: ubuntu-24.04
 
     steps:
       - uses: actions/checkout@v4

pyproject.toml

@@ -1,15 +1,14 @@
 [tool.poetry]
 name = "radas"
 # Version is year.month.version
-version = "2024.8.0"
+version = "2025.6.0"
 description = "Plasma radiated power calculated using OpenADAS"
 authors = ["Commonwealth Fusion Systems"]
 readme = "README.md"
 classifiers = [
 "Development Status :: 5 - Production/Stable",
 "Intended Audience :: Science/Research",
 "Programming Language :: Python :: 3",
-"Programming Language :: Python :: 3.9",
 "Programming Language :: Python :: 3.10",
 "Programming Language :: Python :: 3.11",
 "Programming Language :: Python :: 3.12",
@@ -24,7 +23,7 @@ run_radas = 'radas.cli:run_radas_cli'
 radas_config = 'radas.cli:write_config_template'
 
 [tool.poetry.dependencies]
-python = "<3.13,>=3.9"
+python = ">=3.10"
 numpy = ">=1.22"
 scipy = ">=1.8"
 matplotlib = ">=3.6"
@@ -33,9 +32,9 @@ pyyaml = ">=6.0"
 xarray = ">=2023"
 pint-xarray = ">=0.3"
 click = ">=8.1"
-meson = "^1.5.0"
-ninja = "^1.11.1.1"
-fortranformat = "^2.0.0"
+meson = ">=1.5.0"
+ninja = ">=1.11.1.1"
+fortranformat = ">=2.0.0"
 
 [tool.poetry.group.dev.dependencies]
 # Install pytest into all development environments
@@ -45,7 +44,7 @@ pytest-order = ">=1.1"
 pytest-cov = ">=4.1"
 coverage = ">=7.2"
 black = ">=23.0"
-ipdb = "^0.13.13"
+ipdb = ">=0.13.13"
 
 [tool.poetry.group.ipykernel]
 optional = true

radas/__init__.py

@@ -3,7 +3,6 @@
     UnitStrippedWarning,
     ureg,
     Quantity,
-    suppress_downcast_warning,
     convert_units,
     magnitude,
     dimensionless_magnitude,
@@ -26,7 +25,6 @@
     "UnitStrippedWarning",
     "ureg",
     "Quantity",
-    "suppress_downcast_warning",
     "convert_units",
     "magnitude",
     "dimensionless_magnitude",

radas/shared.py

@@ -18,7 +18,7 @@ def get_git_revision_short_hash() -> str:
             .decode("ascii")
             .strip()
         )
-    except:
+    except: # noqa:E722
         # If git isn't available (sometimes the case in tests), return a blank
         return ""
 

radas/unit_handling.py

@@ -1,7 +1,5 @@
 """Set up the pint library for unit handling."""
 
-import warnings
-from functools import wraps
 from typing import Any, Union
 
 import numpy as np
@@ -20,22 +18,6 @@
 
 Quantity = ureg.Quantity
 
-
-def suppress_downcast_warning(func):
-    """Suppresses a common warning about downcasting quantities to arrays."""
-
-    @wraps(func)
-    def wrapper(*args, **kwargs):
-        with warnings.catch_warnings():
-            warnings.filterwarnings(
-                "ignore",
-                message="The unit of the quantity is stripped when downcasting to ndarray.",
-            )
-            return func(*args, **kwargs)
-
-    return wrapper
-
-
 def convert_units(
     array: Union[xr.DataArray, pint.Quantity], units: Any
 ) -> Union[xr.DataArray, pint.Quantity]:
@@ -53,7 +35,6 @@ def convert_units(
         )
 
 
-@suppress_downcast_warning
 def magnitude(
     array: Union[xr.DataArray, pint.Quantity]
 ) -> Union[npt.NDArray[np.float32], float]:
@@ -89,6 +70,5 @@ def magnitude_in_units(
     "Quantity",
     "convert_units",
     "magnitude",
-    "suppress_downcast_warning",
     "dimensionless_magnitude",
 ]

tests/test_unit_handling.py

@@ -6,13 +6,10 @@
 
 from radas.unit_handling import (
     DimensionalityError,
-    UnitStrippedWarning,
     ureg,
     Quantity,
-    suppress_downcast_warning,
     convert_units,
     magnitude,
-    suppress_downcast_warning,
     dimensionless_magnitude,
 )
 
@@ -28,26 +25,6 @@ def test_invalid_conversion():
         Quantity(1.2, ureg.m).to(ureg.W)
 
 
-@pytest.mark.filterwarnings("error")
-def test_suppress_downcast():
-    values = Quantity([1.2, 2.4], ureg.m)
-
-    with pytest.warns(UnitStrippedWarning):
-        np.array(values)
-
-    def unwrapped(input):
-        return np.array(input)
-
-    with pytest.warns(UnitStrippedWarning):
-        unwrapped(values)
-
-    @suppress_downcast_warning
-    def wrapped(input):
-        return np.array(input)
-
-    wrapped(values)
-
-
 @pytest.mark.filterwarnings(
     "ignore:The unit of the quantity is stripped when downcasting to ndarray."
 )