DEEP SPACE AI

                                
# deepspace_ai_engine.py
import radhard  # Radiation-hardened library

class RadiationHardenedAI:
    def __init__(self):
        self.config = DeepSpaceConfig()
        self.sessions = self.load_hardened_modules()
        self.error_correction = radhard.TripleRedundantCorrection()

    def cosmic_infer(self, domain: str, data: bytes):
        """Radiation-hardened inference in space"""
        try:
            result = self.error_correction.execute(
                lambda: self.execute_domain_inference(domain, data)
            )
            result['cosmic_signature'] = self.generate_cosmic_signature(result)
            return result
        except radhard.CosmicRayError:
            return {"status": "error", "message": "Cosmic ray mitigated"}
                                
                            

                                
# Dockerfile.deepspace
FROM nvcr.io/nvidia/radiation-hardened:24.04

# Install space-ready libraries
RUN pip install \
    radhard==2.4 \
    onnxruntime-rad-hardened==1.8

# Copy radiation-hardened models
COPY models /models

# Set environment variables
ENV RADIATION_LEVEL="extreme"

# Start command
CMD ["python", "deepspace_ai_engine.py"]