[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -1,6 +1,6 @@
 repos:
   - repo: https://github.com/astral-sh/uv-pre-commit
-    rev: 0.9.5
+    rev: 0.12.7
     hooks:
     # Dependency management
       - id: uv-lock
@@ -23,7 +23,7 @@ repos:
 
     # Python Linting & Formatting with Ruff
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.14.2
+    rev: v0.16.5
     hooks:
       - id: ruff
         name: ruff (linter)
@@ -32,7 +32,7 @@ repos:
         name: ruff-format (formatter)
 
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.18.2
+    rev: v2.3.1
     hooks:
     -   id: mypy
         args: [--strict]

README.md

@@ -50,23 +50,23 @@ G = nx.cycle_graph(5)
 
 # Add some basic attributes for visualization
 for i, node_id in enumerate(G.nodes()):
-    G.nodes[node_id]['label'] = f'Node {i+1}'
-    G.nodes[node_id]['title'] = f'This is Node {i+1}' # Tooltip
-    G.nodes[node_id]['group'] = i % 2
+    G.nodes[node_id]["label"] = f"Node {i + 1}"
+    G.nodes[node_id]["title"] = f"This is Node {i + 1}"  # Tooltip
+    G.nodes[node_id]["group"] = i % 2
 
-G.edges[0,1]['label'] = 'Link 0-1'
-G.edges[0,1]['color'] = 'red'
+G.edges[0, 1]["label"] = "Link 0-1"
+G.edges[0, 1]["color"] = "red"
 
 # 2. Define (optional) vis.js options
 custom_options = {
     "nodes": {"font": {"size": 16}},
     "edges": {"smooth": {"enabled": True}},
     "groups": {
         0: {"color": "skyblue", "shape": "dot"},
-        1: {"color": "lightgreen", "shape": "square"}
+        1: {"color": "lightgreen", "shape": "square"},
     },
     "interaction": {"navigationButtons": True, "hover": True},
-    "physics": {"enabled": True}
+    "physics": {"enabled": True},
 }
 
 # 3. Generate and show the interactive HTML graph
@@ -76,7 +76,7 @@ nx_to_vis(
     output_filename="cycle_graph.html",
     html_title="My Interactive Cycle Graph",
     vis_options=custom_options,
-    show_browser=True
+    show_browser=True,
 )
 
 # To get HTML for a Jupyter Notebook:

docs/examples/basic.md

@@ -23,15 +23,15 @@ import networkx as nx
 
 G = nx.cycle_graph(5)
 for i, node_id in enumerate(G.nodes()):
-    G.nodes[node_id]['label'] = f'N{i+1}'
-    G.nodes[node_id]['title'] = f'Tooltip for Node N{i+1}'
-    G.nodes[node_id]['group'] = i % 2
+    G.nodes[node_id]["label"] = f"N{i + 1}"
+    G.nodes[node_id]["title"] = f"Tooltip for Node N{i + 1}"
+    G.nodes[node_id]["group"] = i % 2
     if i == 0:
-        G.nodes[node_id]['color'] = 'skyblue'
-        G.nodes[node_id]['size'] = 25
-G.edges[0,1]['label'] = "Link 0-1"
-G.edges[0,1]['color'] = "green"
-G.edges[0,1]['width'] = 3
+        G.nodes[node_id]["color"] = "skyblue"
+        G.nodes[node_id]["size"] = 25
+G.edges[0, 1]["label"] = "Link 0-1"
+G.edges[0, 1]["color"] = "green"
+G.edges[0, 1]["width"] = 3
 ```
 
 The `vis_options` used (as a Python dictionary in the generation script):
@@ -72,10 +72,10 @@ import networkx as nx
 
 G = nx.karate_club_graph()
 for node_id, data in G.nodes(data=True):
-    data['label'] = str(node_id)
-    data['title'] = f"Member {node_id}\nClub: {data['club']}"
-    data['group'] = data['club']
-    data['value'] = G.degree(node_id)
+    data["label"] = str(node_id)
+    data["title"] = f"Member {node_id}\nClub: {data['club']}"
+    data["group"] = data["club"]
+    data["value"] = G.degree(node_id)
 ```
 
 The `vis_options` used (as a Python dictionary in the generation script):

docs/examples/customization.md

@@ -31,6 +31,7 @@ The Python code to generate the graph structure can be found in `examples/advanc
 import networkx as nx
 import random
 
+
 def create_showcase_graph():
     G = nx.Graph(name="Advanced Showcase Graph")
 
@@ -41,15 +42,22 @@ def create_showcase_graph():
         shape="diamond",
         color={"background": "lightgreen", "border": "darkgreen"},
         size=30,
-        fixed={"x": True, "y": True}, x=-400, y=-200,
+        fixed={"x": True, "y": True},
+        x=-400,
+        y=-200,
         # ... other attributes
     )
     # ... more nodes ...
 
     G.add_edge(
-        "Hub", "Sink", weight=5, color="blue", width=4,
-        title="Main link from Hub to Sink", arrows="to",
-        smooth={"type": "curvedCW", "roundness": 0.2}
+        "Hub",
+        "Sink",
+        weight=5,
+        color="blue",
+        width=4,
+        title="Main link from Hub to Sink",
+        arrows="to",
+        smooth={"type": "curvedCW", "roundness": 0.2},
     )
     # ... more edges ...
     return G

docs/examples/directed.md

@@ -22,23 +22,25 @@ The Python code to generate the graph data:
 import networkx as nx
 
 DG = nx.DiGraph()
-DG.add_edges_from([
-    (1, 2, {'label': 'Rel A'}),
-    (1, 3, {'label': 'Rel B'}),
-    (2, 4, {'label': 'Rel C'}),
-    (3, 4, {'label': 'Rel D'}),
-    (4, 1, {'label': 'Rel E (Cycle)'}) # Creates a cycle
-])
+DG.add_edges_from(
+    [
+        (1, 2, {"label": "Rel A"}),
+        (1, 3, {"label": "Rel B"}),
+        (2, 4, {"label": "Rel C"}),
+        (3, 4, {"label": "Rel D"}),
+        (4, 1, {"label": "Rel E (Cycle)"}),  # Creates a cycle
+    ]
+)
 
 # Add some node properties
 for i in DG.nodes():
-    DG.nodes[i]['label'] = f'DNode {i}'
-    DG.nodes[i]['title'] = f'This is directed node {i}'
+    DG.nodes[i]["label"] = f"DNode {i}"
+    DG.nodes[i]["title"] = f"This is directed node {i}"
     if i == 1:
-        DG.nodes[i]['color'] = 'lightcoral'
-        DG.nodes[i]['shape'] = 'star'
+        DG.nodes[i]["color"] = "lightcoral"
+        DG.nodes[i]["shape"] = "star"
     if i == 4:
-        DG.nodes[i]['color'] = 'lightgreen'
+        DG.nodes[i]["color"] = "lightgreen"
 ```
 
 The `vis_options` used (as a Python dictionary in the generation script):
@@ -86,25 +88,51 @@ import networkx as nx
 
 DG = nx.DiGraph()
 courses = {
-    "CS101": {"label": "Intro to CS", "level": 1, "title": "Fundamentals of Computer Science"},
-    "CS102": {"label": "Data Structures", "level": 2, "title": "Basic Data Structures and Algorithms"},
-    "MA101": {"label": "Calculus I", "level": 1, "title": "Differential Calculus"},
-    "CS201": {"label": "Algorithms", "level": 3, "title": "Advanced Algorithm Design"},
-    "CS202": {"label": "Operating Systems", "level": 3, "title": "Principles of Operating Systems"},
-    "CS301": {"label": "Compilers", "level": 4, "title": "Compiler Construction"}
+    "CS101": {
+        "label": "Intro to CS",
+        "level": 1,
+        "title": "Fundamentals of Computer Science",
+    },
+    "CS102": {
+        "label": "Data Structures",
+        "level": 2,
+        "title": "Basic Data Structures and Algorithms",
+    },
+    "MA101": {
+        "label": "Calculus I",
+        "level": 1,
+        "title": "Differential Calculus",
+    },
+    "CS201": {
+        "label": "Algorithms",
+        "level": 3,
+        "title": "Advanced Algorithm Design",
+    },
+    "CS202": {
+        "label": "Operating Systems",
+        "level": 3,
+        "title": "Principles of Operating Systems",
+    },
+    "CS301": {
+        "label": "Compilers",
+        "level": 4,
+        "title": "Compiler Construction",
+    },
 }
 for course_id, attrs in courses.items():
     DG.add_node(course_id, **attrs)
 
 # Edges: (prerequisite, course)
-DG.add_edges_from([
-    ("CS101", "CS102"),
-    ("MA101", "CS102"),
-    ("CS102", "CS201"),
-    ("CS102", "CS202"),
-    ("CS201", "CS301"),
-    ("CS202", "CS301")
-])
+DG.add_edges_from(
+    [
+        ("CS101", "CS102"),
+        ("MA101", "CS102"),
+        ("CS102", "CS201"),
+        ("CS102", "CS202"),
+        ("CS201", "CS301"),
+        ("CS202", "CS301"),
+    ]
+)
 ```
 
 The `vis_options` used (as a Python dictionary in the generation script):

docs/usage.md

@@ -13,17 +13,17 @@ from nx_vis_visualizer import nx_to_vis
 # 1. Create a NetworkX graph
 G = nx.Graph()
 G.add_edges_from([(1, 2), (2, 3), (3, 1), (3, 4)])
-G.nodes[1]['label'] = 'Node One'
-G.nodes[2]['title'] = 'This is node 2, connected to 1 and 3.' # Tooltip
-G.nodes[3]['color'] = 'red'
-G.edges[2,3]['label'] = 'Link'
+G.nodes[1]["label"] = "Node One"
+G.nodes[2]["title"] = "This is node 2, connected to 1 and 3."  # Tooltip
+G.nodes[3]["color"] = "red"
+G.edges[2, 3]["label"] = "Link"
 
 # 2. Visualize it!
 output_path = nx_to_vis(
     G,
     output_filename="my_first_graph.html",
     html_title="My First Interactive Graph",
-    show_browser=True # Automatically open the generated HTML in your browser
+    show_browser=True,  # Automatically open the generated HTML in your browser
 )
 
 print(f"Graph saved to: {output_path}")