chore: Update pre-commit (#6657)

Author: hoxbro

.pre-commit-config.yaml

@@ -17,7 +17,7 @@ repos:
       - id: check-json
       - id: detect-private-key
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.12.0
+    rev: v0.12.7
     hooks:
       - id: ruff-check
   - repo: https://github.com/hoxbro/clean_notebook
@@ -42,7 +42,7 @@ repos:
     hooks:
       - id: shellcheck
   - repo: https://github.com/hoxbro/prettier-pre-commit
-    rev: v3.5.3
+    rev: v3.6.2
     hooks:
       - id: prettier
         exclude: conda.recipe/meta.yaml

doc/releases.md

@@ -4298,7 +4298,6 @@ API changes:
 - Interface to Pandas improved (1a7cd3d)
 - Removed `xlim`, `ylim` and `zlim` to eliminate redundancy.
 - Renaming of various plot and style options including:
-
   - `figure_*` to `fig_*`
   - `vertical_spacing` and `horizontal_spacing` to `vspace` and
     `hspace` respectively

holoviews/core/data/__init__.py

@@ -1053,7 +1053,7 @@ def groupby(self, dimensions=None, container_type=HoloMap, group_type=None,
         if dimensions is None:
             dimensions = []
         if not isinstance(dimensions, list): dimensions = [dimensions]
-        if not len(dimensions): dimensions = self.dimensions('key', True)
+        if not dimensions: dimensions = self.dimensions('key', True)
         if group_type is None: group_type = type(self)
 
         dimensions = [self.get_dimension(d, strict=True) for d in dimensions]

holoviews/core/data/interface.py

@@ -424,7 +424,7 @@ def range(cls, dataset, dimension):
                     return finite_range(column, np.nanmin(column), np.nanmax(column))
             except (AssertionError, TypeError):
                 column = [v for v in util.python2sort(column) if v is not None]
-                if not len(column):
+                if not column:
                     return np.nan, np.nan
                 return column[0], column[-1]
 

holoviews/core/ndmapping.py

@@ -441,7 +441,7 @@ def reindex(self, kdims=None, force=False):
         old_kdims = [d.name for d in self.kdims]
         if not isinstance(kdims, list):
             kdims = [kdims]
-        elif not len(kdims):
+        elif not kdims:
             kdims = [d for d in old_kdims
                      if not len(set(self.dimension_values(d))) == 1]
         indices = [self.get_dimension_index(el) for el in kdims]

holoviews/core/util/__init__.py

@@ -961,7 +961,7 @@ def find_range(values, soft_range=None):
     try:
         values = np.array(values)
         values = np.squeeze(values) if len(values.shape) > 1 else values
-        if len(soft_range):
+        if soft_range:
             values = np.concatenate([values, soft_range])
         if values.dtype.kind == 'M':
             return values.min(), values.max()

holoviews/element/raster.py

@@ -484,7 +484,7 @@ def closest(self, coords=None, **kwargs):
                         coords = [(0, c) if idx else (c, 0) for c in v]
                     if len(coords) not in [0, len(v)]:
                         raise ValueError("Length of samples must match")
-                    elif len(coords):
+                    elif coords:
                         coords = [(t[abs(idx-1)], c) if idx else (c, t[abs(idx-1)])
                                   for c, t in zip(v, coords, strict=None)]
                 getter.append(idx)

holoviews/plotting/bokeh/sankey.py

@@ -171,7 +171,7 @@ def _compute_labels(self, element, data, mapping):
             xs = np.array([node['x0'] for node in nodes]) - offset
 
         for i, node in enumerate(nodes):
-            if len(text):
+            if text:
                 label = text[i]
             else:
                 label = ''

holoviews/plotting/mpl/sankey.py

@@ -96,7 +96,7 @@ def get_data(self, element, ranges, style):
             x0, x1, y0, y1 = (node[a+i] for a in 'xy' for i in '01')
             rect = {'height': y1-y0, 'width': x1-x0, 'xy': (x0, y0)}
             rects.append(rect)
-            if len(text):
+            if text:
                 label = text[i]
             else:
                 label = ''