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Create TEAM-QUANTARION/generate_metrics_files.py

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TEAM-QUANTARION/generate_metrics_files.py ADDED
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+ import json
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+ import pandas as pd
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+
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+ # Quantarion Federation Model Dataset Metrics
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+ metrics = [
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+ {
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+ "Dataset": "Hypergraph RAG L20",
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+ "Nodes": 15200000,
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+ "Features": 377,
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+ "Lambda2": 0.118,
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+ "Phi377": 0.892,
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+ "Status": "LIVE",
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+ "Notes": "Multi-repo vector store, spectral damping 0.088μ"
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+ },
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+ {
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+ "Dataset": "888-Relay Stress",
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+ "Nodes": "888x8",
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+ "Features": 8,
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+ "Lambda2": 0.0128,
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+ "Phi377": 0.892,
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+ "Status": "FULL",
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+ "Notes": "Block-diagonal relay, Lyapunov convergence α=0.072"
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+ },
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+ {
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+ "Dataset": "Phi-377 Spectral",
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+ "Nodes": 20000000,
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+ "Features": 31,
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+ "Lambda2": 0.118,
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+ "Phi377": 0.892,
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+ "Status": "LIVE",
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+ "Notes": "Chebyshev filter K=31, quantum cells N=888"
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+ },
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+ {
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+ "Dataset": "Quaternion S³",
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+ "Nodes": 231000000,
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+ "Features": "4D",
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+ "Lambda2": 0.95,
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+ "Phi377": 0.892,
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+ "Status": "LIVE",
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+ "Notes": "Quaternion alignment, global coherence ⟨A⟩=0.95"
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+ },
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+ {
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+ "Dataset": "Q@A.MD Extensions",
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+ "Nodes": 16,
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+ "Features": "8D",
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+ "Lambda2": 1.027,
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+ "Phi377": 0.892,
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+ "Status": "LIVE",
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+ "Notes": "Controlled extensions"
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+ },
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+ {
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+ "Dataset": "Node #10878 Control",
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+ "Nodes": "3x8",
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+ "Features": "Rank=3",
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+ "Lambda2": 0.072,
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+ "Phi377": 0.892,
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+ "Status": "LIVE",
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+ "Notes": "Controllability Gramian Rank(W_c)=8"
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+ }
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+ ]
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+
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+ # Save to JSON
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+ with open("quantarion_metrics.json", "w", encoding="utf-8") as f:
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+ json.dump(metrics, f, indent=4)
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+
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+ print("✅ JSON file created: quantarion_metrics.json")
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+
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+ # Save to CSV
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+ df = pd.DataFrame(metrics)
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+ df.to_csv("quantarion_metrics.csv", index=False)
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+ print("✅ CSV file created: quantarion_metrics.csv")