run_g2
CommunityEfficiently run and configure G2 experiments for channel flow control analysis.
AuthorUnder-no-Flag
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the execution and configuration of G2 experiments, streamlining the analysis of channel flow control and optimizing efficiency, safety, and balance.
Core Features & Use Cases
- G2 Experiment Execution: Run full G2 scans with various direction configurations for channel flow control.
- Custom Simulation Parameters: Modify simulation steps, time horizon, grid resolution, and other parameters.
- Objective Weight Adjustment: Adjust weights for efficiency, safety, and balance to optimize experiment outcomes.
- Direction Setting Configuration: Customize direction settings for individual experiments.
- Single Case Running: Execute specific cases or the full scan for detailed analysis.
- Result Interpretation: Analyze generated outputs for efficiency, safety, and balance metrics.
Quick Start
Run the full G2 scan with default settings:
python codes/g2_runner.py --output-root codes/results/g2_multistage_direction_scan
Dependency Matrix
Required Modules
numpymatplotlibpandas
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: run_g2 Download link: https://github.com/Under-no-Flag/CrowdModel/archive/main.zip#run-g2 Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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