always test 3.8 and 3.11, typealias not a thing yet

.pre-commit-config.yaml

@@ -67,7 +67,7 @@ repos:
     rev: v1.5.1
     hooks:
     -   id: mypy
-        additional_dependencies: [types-all]
+        additional_dependencies: [types-all, pandas-stubs, types-tqdm]
 -   repo: https://github.com/pre-commit/pre-commit-hooks
     rev: v4.4.0
     hooks:

pyproject.toml

@@ -110,7 +110,6 @@ check_untyped_defs = true
 disallow_incomplete_defs = true
 disallow_untyped_defs = true
 warn_redundant_casts = true
-warn_unused_ignores = true
 
 [[tool.mypy.overrides]]
 module = "scipy.*"

src/pymovements/plotting/main_sequence_plot.py

@@ -110,7 +110,7 @@ def main_sequence_plot(
         alpha=alpha,
         s=marker_size,
         marker=marker,
-        # XXX to handle after  https://github.com/pydata/xarray/pull/8030 is merged
+        # to handle after  https://github.com/pydata/xarray/pull/8030 is merged
         **kwargs,  # type: ignore
     )
 

src/pymovements/plotting/traceplot.py

@@ -21,9 +21,8 @@
 from __future__ import annotations
 
 import sys
+from collections.abc import Sequence
 from typing import Literal
-from typing import Sequence
-from typing import TypeAlias
 
 import matplotlib.colors
 import matplotlib.pyplot as plt
@@ -40,8 +39,11 @@
 if 'pytest' in sys.modules:  # pragma: no cover
     matplotlib.use('Agg')
 
-LinearSegmentedColormapType: TypeAlias = dict[
-    Literal['red', 'green', 'blue', 'alpha'], Sequence[tuple[float, ...]],
+LinearSegmentedColormapType = dict[
+    Literal[
+        'red', 'green',
+        'blue', 'alpha',
+    ], Sequence[tuple[float, ...]],
 ]
 
 DEFAULT_SEGMENTDATA: LinearSegmentedColormapType = {
@@ -201,7 +203,10 @@ def traceplot(
     elif isinstance(cmap_norm, str):
         # pylint: disable=protected-access
 
-        if (scale_class := matplotlib.scale._scale_mapping.get(cmap_norm, None)) is None:
+        # to handle after https://github.com/pydata/xarray/pull/8030 is merged
+        if (
+            scale_class := matplotlib.scale._scale_mapping.get(cmap_norm, None)  # type: ignore
+        ) is None:
             raise ValueError(f'cmap_norm string {cmap_norm} is not supported')
 
         norm_class = matplotlib.colors.make_norm_from_scale(scale_class)