build: drop support for python 3.8

.github/workflows/ci.yml

@@ -32,7 +32,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.8", "3.9", "3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
         platform: [ubuntu-latest, macos-latest, windows-latest]
 
     steps:
@@ -77,32 +77,32 @@ jobs:
   deploy:
     name: Deploy
     needs: test
-    if: "success() && startsWith(github.ref, 'refs/tags/') && github.event_name != 'schedule'"
+    if: success() && startsWith(github.ref, 'refs/tags/') && github.event_name != 'schedule'
     runs-on: ubuntu-latest
 
+    permissions:
+      id-token: write
+      contents: write
+
     steps:
       - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
 
       - name: Set up Python
         uses: actions/setup-python@v5
         with:
           python-version: "3.x"
 
-      - name: install
+      - name: 👷 Build
         run: |
-          git tag
-          pip install -U pip
-          pip install -U build twine
+          python -m pip install build
           python -m build
-          twine check dist/*
-          ls -lh dist
 
-      - name: Build and publish
-        run: twine upload dist/*
-        env:
-          TWINE_USERNAME: __token__
-          TWINE_PASSWORD: ${{ secrets.TWINE_API_KEY }}
+      - name: 🚢 Publish to PyPI
+        uses: pypa/gh-action-pypi-publish@release/v1
 
       - uses: softprops/action-gh-release@v2
         with:
           generate_release_notes: true
+          files: "./dist/*"

.github/workflows/docs.yml

@@ -12,7 +12,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v5
         with:
-          python-version: '3.11'
+          python-version: '3.12'
       - run: |
           pip install -e .[docs]
       - run: mkdocs gh-deploy --strict --force

docs/_hooks.py

@@ -1,9 +1,10 @@
 import base64
 import re
 import sys
+from collections.abc import Sequence
 from functools import partial
 from pathlib import Path
-from typing import TYPE_CHECKING, Any, Sequence, cast
+from typing import TYPE_CHECKING, Any, cast
 
 import natsort
 import numpy as np

pyproject.toml

@@ -8,15 +8,14 @@ build-backend = "hatchling.build"
 name = "cmap"
 description = "Scientific colormaps for python, without dependencies"
 readme = "README.md"
-requires-python = ">=3.8"
+requires-python = ">=3.9"
 license = "BSD-3-Clause"
 license-files = ["LICENSE/*"]
 authors = [{ email = "[email protected]", name = "Talley Lambert" }]
 classifiers = [
     "Development Status :: 4 - Beta",
     "License :: OSI Approved :: BSD License",
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.8",
     "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
@@ -50,8 +49,9 @@ test_thirdparty = [
     "colorspacious",
     "colour",
     "matplotlib",
-    "napari>=0.4.19; python_version<'3.13'",
-    "numba; python_version<'3.13' and platform_machine != 'arm64'",
+    "napari>=0.5.0",
+    "numba",
+    "numba<0.61; python_version<'3.12'",
     "plotly",
     "pydantic-extra-types>=2,!=2.10.1",
     "pydantic",
@@ -93,7 +93,7 @@ include = ["/src", "/tests", "CHANGELOG.md"]
 # https://github.com/charliermarsh/ruff
 [tool.ruff]
 line-length = 88
-target-version = "py38"
+target-version = "py39"
 src = ["src"]
 
 [tool.ruff.lint]

src/cmap/__init__.py

@@ -1,7 +1,7 @@
 """Scientific colormaps for python, without dependencies."""
 
 from importlib.metadata import PackageNotFoundError, version
-from typing import TYPE_CHECKING, Iterator, Mapping
+from typing import TYPE_CHECKING
 
 try:
     __version__ = version("cmap")
@@ -14,6 +14,8 @@
 from ._util import to_mpl
 
 if TYPE_CHECKING:
+    from collections.abc import Iterator, Mapping
+
     from ._catalog import CatalogItem
 
     class Catalog(Mapping[str, CatalogItem]):

src/cmap/_catalog.py

@@ -10,18 +10,10 @@
 
 import json
 import logging
+from collections.abc import Container, Iterable, Iterator, Mapping
 from dataclasses import dataclass, field
 from pathlib import Path
-from typing import (
-    TYPE_CHECKING,
-    Any,
-    Container,
-    Iterable,
-    Iterator,
-    Literal,
-    Mapping,
-    cast,
-)
+from typing import TYPE_CHECKING, Any, Literal, cast
 
 import cmap.data
 

src/cmap/_color.py

@@ -6,15 +6,13 @@
 import contextlib
 import re
 import sys
+from collections.abc import Iterable, Sequence
 from typing import (
     TYPE_CHECKING,
     Any,
     Callable,
-    Iterable,
-    List,
     Literal,
     NamedTuple,
-    Sequence,
     SupportsFloat,
     Union,
     cast,
@@ -53,7 +51,7 @@
     RGBTuple,  # 3-tuple of all ints or all floats
     RGBATuple,  # 4-tuple of all floats, or 3 ints and 1 float
     np.ndarray,  # 3- or 4-element rgb(a) vector
-    List[Union[float, int]],  # 3- or 4-element rgb(a) vector
+    list[Union[float, int]],  # 3- or 4-element rgb(a) vector
     "Color",  # another color object
 ]
 """Data types that can be cast to a [cmap.Color][] instance.

src/cmap/_colormap.py

@@ -4,21 +4,10 @@
 
 import base64
 import warnings
+from collections.abc import Iterable, Sequence
 from functools import partial
 from numbers import Number
-from typing import (
-    TYPE_CHECKING,
-    Any,
-    Callable,
-    Dict,
-    Iterable,
-    NamedTuple,
-    Sequence,
-    Tuple,
-    Union,
-    cast,
-    overload,
-)
+from typing import TYPE_CHECKING, Any, Callable, NamedTuple, Union, cast, overload
 
 import numpy as np
 import numpy.typing as npt
@@ -28,7 +17,8 @@
 from ._color import Color, ColorLike
 
 if TYPE_CHECKING:
-    from typing import Iterator, Literal
+    from collections.abc import Iterator
+    from typing import Literal
 
     import bokeh.models
     import matplotlib.colors
@@ -63,7 +53,7 @@ class ColormapDict(TypedDict):
 LutCallable: TypeAlias = Callable[["NDArray"], "NDArray"]
 """Function type for a callable that takes an array of values in the range [0, 1] and returns an (N, 4) array of RGBA values in the range [0, 1]."""  # noqa
 
-ColorStopLike: TypeAlias = Union[Tuple[float, ColorLike], "NDArray"]
+ColorStopLike: TypeAlias = Union[tuple[float, ColorLike], "NDArray"]
 """A single color-stop: 2-tuple of a scalar "stop" value and a color-like object, or an array of color-like objects."""  # noqa
 
 # All of the things that we can pass to the constructor of Colormap
@@ -72,7 +62,7 @@ class ColormapDict(TypedDict):
     Iterable[Union[ColorLike, ColorStopLike]],
     "NDArray",
     "MPLSegmentData",
-    Dict[float, ColorLike],
+    dict[float, ColorLike],
     "ColorStops",
     LutCallable,
 ]

src/cmap/_util.py

@@ -1,14 +1,16 @@
 from __future__ import annotations
 
 import sys
-from typing import TYPE_CHECKING, Sequence, TypedDict, cast
+from typing import TYPE_CHECKING, TypedDict, cast
 
 import numpy as np
 
 gradient = np.linspace(0, 1, 256)
 gradient = np.vstack((gradient, gradient))
 
 if TYPE_CHECKING:
+    from collections.abc import Sequence
+
     import matplotlib.colors
     from matplotlib.figure import Figure as MplFigure
     from numpy.typing import ArrayLike, NDArray

src/cmap/data/glasbey/_grids.py

@@ -2,7 +2,7 @@
 # see __init__ and LICENSE_GLASBEY
 from __future__ import annotations
 
-from typing import Sized
+from collections.abc import Sized
 
 import numpy as np
 

src/cmap/data/gnuplot/__init__.py

@@ -52,8 +52,9 @@
 #   36: 2*x - 1
 """
 
+from collections.abc import Sequence
 from functools import partial
-from typing import TYPE_CHECKING, Sequence
+from typing import TYPE_CHECKING
 
 import numpy as np
 

tests/test_data.py

@@ -1,4 +1,4 @@
-from typing import TYPE_CHECKING, Set, cast
+from typing import TYPE_CHECKING, cast
 
 import numpy as np
 import numpy.testing as npt
@@ -9,7 +9,7 @@
 try:
     import matplotlib as mpl
 
-    MPL_CMAPS: Set[str] = {c for c in mpl.colormaps if not c.endswith("_r")}
+    MPL_CMAPS: set[str] = {c for c in mpl.colormaps if not c.endswith("_r")}
 except ImportError:
     MPL_CMAPS = {}
 
@@ -32,7 +32,7 @@ def test_napari_name_parity() -> None:
     pytest.importorskip("napari")
     import napari.utils.colormaps.colormap_utils as ncm
 
-    napari_cmaps: Set[str] = set(ncm.AVAILABLE_COLORMAPS)
+    napari_cmaps: set[str] = set(ncm.AVAILABLE_COLORMAPS)
     napari_cmaps.update(ncm._VISPY_COLORMAPS_ORIGINAL)
     napari_cmaps.update(ncm._MATPLOTLIB_COLORMAP_NAMES)
     # TODO: later it would be good to make sure we can accept all strings