refactor dict.update() to use |= operator

src/pymatgen/analysis/chemenv/coordination_environments/coordination_geometry_finder.py

@@ -613,8 +613,8 @@ def compute_structure_environments(
             optimization: optimization algorithm
 
         Returns:
-            The StructureEnvironments object containing all the information about the coordination
-            environments in the structure.
+            StructureEnvironments: contains all the information about the coordination
+                environments in the structure.
         """
         time_init = time.process_time()
         if info is None:

src/pymatgen/analysis/chempot_diagram.py

@@ -295,7 +295,7 @@ def _get_2d_plot(self, elements: list[Element], label_stable: bool | None, eleme
             draw_domains[formula] = pts_2d
 
         layout = plotly_layouts["default_layout_2d"].copy()
-        layout.update(self._get_axis_layout_dict(elements))
+        layout |= self._get_axis_layout_dict(elements)
         if label_stable:
             layout["annotations"] = annotations
 
@@ -366,7 +366,7 @@ def _get_3d_plot(
             domain_simplexes[formula] = simplexes
 
         layout = plotly_layouts["default_layout_3d"].copy()
-        layout["scene"].update(self._get_axis_layout_dict(elements))
+        layout["scene"] |= self._get_axis_layout_dict(elements)
         layout["scene"]["annotations"] = None
 
         if label_stable:
@@ -559,7 +559,7 @@ def _get_annotation(ann_loc: np.ndarray, formula: str) -> dict[str, str | float]
         """Get a Plotly annotation dict given a formula and location."""
         formula = htmlify(formula)
         annotation = plotly_layouts["default_annotation_layout"].copy()
-        annotation.update({"x": ann_loc[0], "y": ann_loc[1], "text": formula})
+        annotation |= {"x": ann_loc[0], "y": ann_loc[1], "text": formula}
         if len(ann_loc) == 3:
             annotation["z"] = ann_loc[2]
         return annotation

src/pymatgen/analysis/ferroelectricity/polarization.py

@@ -75,10 +75,7 @@ def zval_dict_from_potcar(potcar) -> dict[str, float]:
 
     potcar: Potcar object
     """
-    zval_dict = {}
-    for p in potcar:
-        zval_dict.update({p.element: p.ZVAL})
-    return zval_dict
+    return {p.element: p.ZVAL for p in potcar}
 
 
 def calc_ionic(site: PeriodicSite, structure: Structure, zval: float) -> np.ndarray:

src/pymatgen/analysis/graphs.py

@@ -933,7 +933,7 @@ def draw_graph_to_file(
                     d["label"] = f"{d['weight']:.2f} {units}"
 
             # update edge with our new style attributes
-            g.edges[u, v, k].update(d)
+            g.edges[u, v, k] |= d
 
         # optionally remove periodic image edges,
         # these can be confusing due to periodic boundaries
@@ -2603,7 +2603,7 @@ def draw_graph_to_file(
                     d["label"] = f"{d['weight']:.2f} {units}"
 
             # update edge with our new style attributes
-            g.edges[u, v, k].update(d)
+            g.edges[u, v, k] |= d
 
         # optionally remove periodic image edges,
         # these can be confusing due to periodic boundaries

src/pymatgen/analysis/local_env.py

@@ -1218,7 +1218,7 @@ def __init__(
 
         # Update any user preference elemental radii
         if el_radius_updates:
-            self.el_radius.update(el_radius_updates)
+            self.el_radius |= el_radius_updates
 
     @property
     def structures_allowed(self) -> bool:
@@ -2755,7 +2755,7 @@ def get_type(self, index):
             raise ValueError("Index for getting order parameter type out-of-bounds!")
         return self._types[index]
 
-    def get_parameters(self, index):
+    def get_parameters(self, index: int) -> list[float]:
         """Get list of floats that represents
         the parameters associated
         with calculation of the order
@@ -2764,12 +2764,10 @@ def get_parameters(self, index):
         inputted because of processing out of efficiency reasons.
 
         Args:
-            index (int):
-                index of order parameter for which associated parameters
-                are to be returned.
+            index (int): index of order parameter for which to return associated params.
 
         Returns:
-            [float]: parameters of a given OP.
+            list[float]: parameters of a given OP.
         """
         if index < 0 or index >= len(self._types):
             raise ValueError("Index for getting parameters associated with order parameter calculation out-of-bounds!")