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import panglot

# Initialize Panglot client
client = panglot.Client(api_key="pgl_xxx")

async def analyze_financial_data(data: dict) -> dict:
    # Step 1: Symbolic compliance analysis (Lisp)
    # Lisp's homoiconicity allows dynamic rule generation
    compliance = await client.call(
        "SOX-AI-SYMBOLICS",
        action="analyze_compliance",
        payload={"rules": data["regulations"], "transactions": data["tx"]}
    )
    
    # Step 2: Cryptographic verification (Assembly)
    # Direct CPU instructions for SIMD-accelerated verification
    signatures = await client.call(
        "SOX-CRYPTO-VERIFY",
        action="batch_verify",
        payload={"documents": data["signed_docs"]}
    )
    
    # Step 3: Data transformation (Rust)
    # Memory-safe processing with zero-copy deserialization
    transformed = await client.call(
        "SOX-DATA-TRANSFORM",
        action="normalize",
        payload={"raw": data["financial_records"], "schema": "sox_v2"}
    )
    
    # Step 4: Report generation (Go)
    # Parallel PDF generation using goroutines
    report = await client.call(
        "SOX-REPORT-GEN",
        action="generate",
        payload={
            "compliance": compliance,
            "signatures": signatures,
            "data": transformed
        }
    )
    
    return report