Merge pull request #222 from dstansby/nopy38

Remove support for Python 3.8

Author: dstansby

.github/workflows/test_and_deploy.yml

@@ -20,7 +20,7 @@ jobs:
       fail-fast: false
       matrix:
         platform: [ubuntu-latest, macos-latest, windows-latest]
-        python-version: ['3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.9', '3.10', '3.11']
 
     steps:
       - uses: actions/checkout@v3

.pre-commit-config.yaml

@@ -20,7 +20,7 @@ repos:
     rev: v1.6.0
     hooks:
      - id: mypy
-       additional_dependencies: [numpy, matplotlib<3.8]
+       additional_dependencies: [numpy, matplotlib]
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.

pyproject.toml

@@ -23,7 +23,7 @@ profile = "black"
 line_length = 79
 
 [tool.ruff]
-target-version = "py38"
+target-version = "py39"
 select = ["I", "UP", "F", "E", "W", "D"]
 ignore = [
     "D100", # Missing docstring in public module
@@ -45,7 +45,7 @@ fix = true
 convention = "numpy"
 
 [tool.mypy]
-python_version = "3.8"
+python_version = "3.9"
 # Block below are checks that form part of mypy 'strict' mode
 warn_unused_configs = true
 warn_redundant_casts = true

setup.cfg

@@ -31,7 +31,7 @@ install_requires =
     napari
     numpy
     tinycss2
-python_requires = >=3.8
+python_requires = >=3.9
 include_package_data = True
 package_dir =
     =src

src/napari_matplotlib/base.py

@@ -1,6 +1,6 @@
 import os
 from pathlib import Path
-from typing import List, Optional, Tuple
+from typing import Optional
 
 import matplotlib
 import matplotlib.style as mplstyle
@@ -184,7 +184,7 @@ class NapariMPLWidget(BaseNapariMPLWidget):
     #: Number of layers taken as input
     n_layers_input = Interval(None, None)
     #: Type of layer taken as input
-    input_layer_types: Tuple[napari.layers.Layer, ...] = (napari.layers.Layer,)
+    input_layer_types: tuple[napari.layers.Layer, ...] = (napari.layers.Layer,)
 
     def __init__(
         self,
@@ -193,7 +193,7 @@ def __init__(
     ):
         super().__init__(napari_viewer=napari_viewer, parent=parent)
         self._setup_callbacks()
-        self.layers: List[napari.layers.Layer] = []
+        self.layers: list[napari.layers.Layer] = []
 
         helper_text = self.n_layers_input._helper_text
         if helper_text is not None:

src/napari_matplotlib/histogram.py

@@ -1,4 +1,4 @@
-from typing import Any, List, Optional, Tuple
+from typing import Any, Optional
 
 import napari
 import numpy as np
@@ -107,7 +107,7 @@ def _set_axis_keys(self, x_axis_key: str) -> None:
         self._x_axis_key = x_axis_key
         self._draw()
 
-    def _get_valid_axis_keys(self) -> List[str]:
+    def _get_valid_axis_keys(self) -> list[str]:
         """
         Get the valid axis keys from the layer FeatureTable.
 
@@ -122,7 +122,7 @@ def _get_valid_axis_keys(self) -> List[str]:
         else:
             return self.layers[0].features.keys()
 
-    def _get_data(self) -> Tuple[Optional[npt.NDArray[Any]], str]:
+    def _get_data(self) -> tuple[Optional[npt.NDArray[Any]], str]:
         """Get the plot data.
 
         Returns

src/napari_matplotlib/scatter.py

@@ -1,4 +1,4 @@
-from typing import Any, Dict, List, Optional, Tuple, Union
+from typing import Any, Optional, Union
 
 import napari
 import numpy.typing as npt
@@ -40,7 +40,7 @@ def draw(self) -> None:
         self.axes.set_xlabel(x_axis_name)
         self.axes.set_ylabel(y_axis_name)
 
-    def _get_data(self) -> Tuple[npt.NDArray[Any], npt.NDArray[Any], str, str]:
+    def _get_data(self) -> tuple[npt.NDArray[Any], npt.NDArray[Any], str, str]:
         """
         Get the plot data.
 
@@ -67,7 +67,7 @@ class ScatterWidget(ScatterBaseWidget):
     n_layers_input = Interval(2, 2)
     input_layer_types = (napari.layers.Image,)
 
-    def _get_data(self) -> Tuple[npt.NDArray[Any], npt.NDArray[Any], str, str]:
+    def _get_data(self) -> tuple[npt.NDArray[Any], npt.NDArray[Any], str, str]:
         """
         Get the plot data.
 
@@ -106,7 +106,7 @@ def __init__(
 
         self.layout().addLayout(QVBoxLayout())
 
-        self._selectors: Dict[str, QComboBox] = {}
+        self._selectors: dict[str, QComboBox] = {}
         for dim in ["x", "y"]:
             self._selectors[dim] = QComboBox()
             # Re-draw when combo boxes are updated
@@ -147,7 +147,7 @@ def y_axis_key(self, key: str) -> None:
         self._selectors["y"].setCurrentText(key)
         self._draw()
 
-    def _get_valid_axis_keys(self) -> List[str]:
+    def _get_valid_axis_keys(self) -> list[str]:
         """
         Get the valid axis keys from the layer FeatureTable.
 
@@ -186,7 +186,7 @@ def draw(self) -> None:
         if self._ready_to_scatter():
             super().draw()
 
-    def _get_data(self) -> Tuple[npt.NDArray[Any], npt.NDArray[Any], str, str]:
+    def _get_data(self) -> tuple[npt.NDArray[Any], npt.NDArray[Any], str, str]:
         """
         Get the plot data from the ``features`` attribute of the first
         selected layer.

src/napari_matplotlib/slice.py

@@ -1,4 +1,4 @@
-from typing import Any, List, Optional, Tuple
+from typing import Any, Optional
 
 import matplotlib.ticker as mticker
 import napari
@@ -99,7 +99,7 @@ def current_dim_index(self) -> int:
         return self._dim_names.index(self.current_dim_name)
 
     @property
-    def _dim_names(self) -> List[str]:
+    def _dim_names(self) -> list[str]:
         """
         List of dimension names. This is a property as it varies depending on the
         dimensionality of the currently selected data.
@@ -111,7 +111,7 @@ def _dim_names(self) -> List[str]:
         else:
             raise RuntimeError("Don't know how to handle ndim != 2 or 3")
 
-    def _get_xy(self) -> Tuple[npt.NDArray[Any], npt.NDArray[Any]]:
+    def _get_xy(self) -> tuple[npt.NDArray[Any], npt.NDArray[Any]]:
         """
         Get data for plotting.
         """

src/napari_matplotlib/tests/scatter/test_scatter_features.py

@@ -1,5 +1,5 @@
 from copy import deepcopy
-from typing import Any, Dict, Tuple
+from typing import Any
 
 import numpy as np
 import numpy.typing as npt
@@ -34,7 +34,7 @@ def test_features_scatter_widget_2D(
 
 
 def make_labels_layer_with_features() -> (
-    Tuple[npt.NDArray[np.uint16], Dict[str, Any]]
+    tuple[npt.NDArray[np.uint16], dict[str, Any]]
 ):
     label_image: npt.NDArray[np.uint16] = np.zeros((100, 100), dtype=np.uint16)
     for label_value, start_index in enumerate([10, 30, 50], start=1):

src/napari_matplotlib/tests/test_layer_changes.py

@@ -1,5 +1,5 @@
 from copy import deepcopy
-from typing import Any, Dict, Tuple, Type
+from typing import Any
 
 import numpy as np
 import numpy.typing as npt
@@ -61,8 +61,8 @@ def test_change_features_layer(
 
 def assert_features_plot_changes(
     viewer: Viewer,
-    widget_cls: Type[NapariMPLWidget],
-    data: Tuple[npt.NDArray[np.generic], Dict[str, Any]],
+    widget_cls: type[NapariMPLWidget],
+    data: tuple[npt.NDArray[np.generic], dict[str, Any]],
 ) -> None:
     """
     When the selected layer is changed, make sure the plot generated