TYP: fix some type-check incompatibility with matplotlib 3.8

yt/visualization/_handlers.py

@@ -1,3 +1,4 @@
+import sys
 import weakref
 from numbers import Real
 from typing import Any, Dict, List, Literal, Optional, Tuple, Type, Union
@@ -12,6 +13,11 @@
 from yt.config import ytcfg
 from yt.funcs import get_brewer_cmap, is_sequence, mylog
 
+if sys.version_info >= (3, 10):
+    from typing import TypeAlias
+else:
+    from typing_extensions import TypeAlias
+
 
 class NormHandler:
     """
@@ -73,7 +79,7 @@ def __init__(
         self._linthresh = linthresh
         self.prefer_log = True
 
-        if self.has_norm and self.has_constraints:
+        if self.norm is not None and self.has_constraints:
             raise TypeError(
                 "NormHandler input is malformed. "
                 "A norm cannot be passed along other constraints."
@@ -100,12 +106,8 @@ def _reset_constraints(self) -> None:
         for name in constraints.keys():
             setattr(self, name, None)
 
-    @property
-    def has_norm(self) -> bool:
-        return self._norm is not None
-
-    def _reset_norm(self):
-        if not self.has_norm:
+    def _reset_norm(self) -> None:
+        if self.norm is None:
             return
         mylog.warning("Dropping norm (%s)", self.norm)
         self._norm = None
@@ -281,7 +283,7 @@ def linthresh(self, newval: Optional[Union[Quantity, float]]) -> None:
             self.norm_type = SymLogNorm
 
     def get_norm(self, data: np.ndarray, *args, **kw) -> Normalize:
-        if self.has_norm:
+        if self.norm is not None:
             return self.norm
 
         dvmin = dvmax = None
@@ -312,6 +314,7 @@ def get_norm(self, data: np.ndarray, *args, **kw) -> Normalize:
             dvmax = 1 * getattr(data, "units", 1)
         kw.setdefault("vmax", dvmax)
 
+        norm_type: Type[Normalize]
         if data.ndim == 3:
             assert data.shape[-1] == 4
             # this is an RGBA array, only linear normalization makes sense here
@@ -395,6 +398,16 @@ def get_minmax(data):
         return linthresh
 
 
+BackgroundColor: TypeAlias = Union[
+    Tuple[float, float, float, float],
+    # np.ndarray is only runtime-subscribtable since numpy 1.22
+    "np.ndarray[Any, Any]",
+    str,
+    None,
+]
+ColormapInput: TypeAlias = Union[Colormap, str, None]
+
+
 class ColorbarHandler:
     __slots__ = ("_draw_cbar", "_draw_minorticks", "_cmap", "_background_color")
 
@@ -403,14 +416,14 @@ def __init__(
         *,
         draw_cbar: bool = True,
         draw_minorticks: bool = True,
-        cmap: Optional[Union[Colormap, str]] = None,
+        cmap: ColormapInput = None,
         background_color: Optional[str] = None,
     ):
         self._draw_cbar = draw_cbar
         self._draw_minorticks = draw_minorticks
         self._cmap: Optional[Colormap] = None
         self.cmap = cmap
-        self._background_color = background_color
+        self._background_color: BackgroundColor = background_color
 
     @property
     def draw_cbar(self) -> bool:
@@ -441,12 +454,12 @@ def cmap(self) -> Colormap:
         return self._cmap or mpl.colormaps[ytcfg.get("yt", "default_colormap")]
 
     @cmap.setter
-    def cmap(self, newval) -> None:
+    def cmap(self, newval: ColormapInput) -> None:
         if isinstance(newval, Colormap) or newval is None:
             self._cmap = newval
         elif isinstance(newval, str):
             self._cmap = mpl.colormaps[newval]
-        elif is_sequence(newval):
+        elif is_sequence(newval):  # type: ignore [unreachable]
             # tuple colormaps are from palettable (or brewer2mpl)
             self._cmap = get_brewer_cmap(newval)
         else:
@@ -456,11 +469,11 @@ def cmap(self, newval) -> None:
             )
 
     @property
-    def background_color(self) -> Any:
+    def background_color(self) -> BackgroundColor:
         return self._background_color or "white"
 
     @background_color.setter
-    def background_color(self, newval: Any):
+    def background_color(self, newval: BackgroundColor) -> None:
         # not attempting to constrain types here because
         # down the line it really depends on matplotlib.axes.Axes.set_faceolor
         # which is very type-flexibile

yt/visualization/base_plot_types.py

@@ -6,6 +6,7 @@
 
 import matplotlib
 import numpy as np
+from matplotlib.scale import SymmetricalLogTransform
 from matplotlib.ticker import LogFormatterMathtext
 
 from yt.funcs import (
@@ -28,6 +29,7 @@
     from ._commons import _MPL38_SymmetricalLogLocator as SymmetricalLogLocator
 
 if TYPE_CHECKING:
+    from matplotlib.axes import Axes
     from matplotlib.axis import Axis
     from matplotlib.figure import Figure
 
@@ -96,11 +98,11 @@ class PlotMPL:
     def __init__(
         self,
         fsize,
-        axrect,
+        axrect: Tuple[float, float, float, float],
         *,
         norm_handler: NormHandler,
         figure: Optional["Figure"] = None,
-        axes: Optional["Axis"] = None,
+        axes: Optional["Axes"] = None,
     ):
         """Initialize PlotMPL class"""
         import matplotlib.figure
@@ -132,7 +134,7 @@ def __init__(
 
         self.norm_handler = norm_handler
 
-    def _create_axes(self, axrect):
+    def _create_axes(self, axrect: Tuple[float, float, float, float]) -> None:
         self.axes = self.figure.add_axes(axrect)
 
     def _get_canvas_classes(self):
@@ -231,8 +233,8 @@ def __init__(
         norm_handler: NormHandler,
         colorbar_handler: ColorbarHandler,
         figure: Optional["Figure"] = None,
-        axes: Optional["Axis"] = None,
-        cax: Optional["Axis"] = None,
+        axes: Optional["Axes"] = None,
+        cax: Optional["Axes"] = None,
     ):
         """Initialize ImagePlotMPL class object"""
         self.colorbar_handler = colorbar_handler
@@ -323,6 +325,7 @@ def _set_axes(self) -> None:
         self.cax.tick_params(which="both", direction="in")
         self.cb = self.figure.colorbar(self.image, self.cax)
 
+        cb_axis: "Axis"
         if self.cb.orientation == "vertical":
             cb_axis = self.cb.ax.yaxis
         else:
@@ -331,6 +334,8 @@ def _set_axes(self) -> None:
         cb_scale = cb_axis.get_scale()
         if cb_scale == "symlog":
             trf = cb_axis.get_transform()
+            if not isinstance(trf, SymmetricalLogTransform):
+                raise RuntimeError
             cb_axis.set_major_locator(SymmetricalLogLocator(trf))
             cb_axis.set_major_formatter(
                 LogFormatterMathtext(linthresh=trf.linthresh, base=trf.base)
@@ -343,6 +348,8 @@ def _set_axes(self) -> None:
             # no minor ticks are drawn by default in symlog, as of matplotlib 3.7.1
             # see https://github.com/matplotlib/matplotlib/issues/25994
             trf = cb_axis.get_transform()
+            if not isinstance(trf, SymmetricalLogTransform):
+                raise RuntimeError
             if float(trf.base).is_integer():
                 locator = SymmetricalLogLocator(trf, subs=np.arange(1, trf.base))
                 cb_axis.set_minor_locator(locator)