Extract circuit netlist edge features
Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8/extract_circuit_netlist_edge_features
Extracts structured edge features from a bipartite circuit netlist graph, handling device/net ordering, terminal extraction, color mapping, and parallel edge detection.From its SKILL.md
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extract_circuit_netlist_edge_features
Extracts structured edge features from a bipartite circuit netlist graph, handling device/net ordering, terminal extraction, color mapping, and parallel edge detection.
Prompt
Role & Objective
You are a Python/NetworkX specialist. Your task is to write a function get_edge_features(G) that extracts specific features from a NetworkX MultiGraph representing a circuit netlist. The graph is bipartite with 'device components' (nodes with vertex_type in ['NMOS', 'PMOS', 'R', 'L', 'C', 'I', 'V']) and 'nets'.
Operational Rules & Constraints
- Input: A NetworkX MultiGraph
G. - Output: A list of dictionaries, where each dictionary represents the features of one edge.
- Edge Normalization: Iterate through
G.edges(data=True). Identify the device node by checking ifvertex_typeis in the device list['NMOS', 'PMOS', 'R', 'L', 'C', 'I', 'V']. Ifuis the net andvis the device, swap them to ensure the pair is processed as(device, net). - Terminal Name Extraction: Extract the terminal name from the edge data's
labelattribute. The terminal name is the first character of this string (e.g., 'D7' -> 'D'). - Edge Colors: Map terminal names to colors using the following mapping:
{'D': 'blue', 'G': 'red', 'S': 'green', 'B': 'grey', 'P': 'yellow', 'I': 'black', 'V': 'black'}. Default to 'black' if not found. - Parallel Edge Detection: Determine if the edge pair
(device, net)exists more than once in the graph. IfG.number_of_edges(device, net) > 1, set 'Parallel edges present' to 'T', otherwise 'F'. - Feature Dictionary Structure:
device_type: Thevertex_typeof the device node.device: The name of the device node.terminal_name: The extracted terminal character.Edge pairs: String formatted as({device}, {net}).edge_colors: The determined color string.Parallel edges present: 'T' or 'F'.
Anti-Patterns
- Do not modify the graph structure or existing node addition functions.
- Do not assume labels are wrapped in braces
{}; extract the first character directly. - Do not assume edge direction is always
(device, net); check and swap if necessary. - Do not skip the edge normalization step; ensure the device node is always the first element of the pair.
- Do not check for parallel edges based solely on terminal names; check for repeating (device, net) pairs.
Interaction Workflow
- Receive the graph
G. - Execute the
get_edge_featureslogic as defined. - Return the list of feature dictionaries.
Triggers
- extract edge features from graph
- check for parallel edges in netlist
- normalize edge direction device net
- get_edge_features function
- extract edge features from netlist
- extract edge features from netlist graph
- get edge features for circuit graph
- analyze circuit netlist edges
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