"""
Transfer Learning - Apply knowledge from one domain to another
"""

class TransferLearner:
    def __init__(self):
        self.domain_knowledge = {}
        self.transfer_mappings = {
            "file_operations": ["code_generation", "document_creation"],
            "debugging": ["testing", "error_handling"],
            "planning": ["project_management", "task_breakdown"]
        }
    
    def record_domain_success(self, domain, strategy, success_rate):
        if domain not in self.domain_knowledge:
            self.domain_knowledge[domain] = {}
        self.domain_knowledge[domain][strategy] = success_rate
    
    def transfer_knowledge(self, from_domain, to_domain):
        if from_domain not in self.domain_knowledge:
            return {"transferred": False, "reason": "No knowledge in source domain"}
        transferred_strategies = {}
        for strategy, success_rate in self.domain_knowledge[from_domain].items():
            if success_rate > 0.7:
                transferred_strategies[strategy] = success_rate * 0.8
        if transferred_strategies:
            if to_domain not in self.domain_knowledge:
                self.domain_knowledge[to_domain] = {}
            self.domain_knowledge[to_domain].update(transferred_strategies)
            return {"transferred": True, "strategies": list(transferred_strategies.keys()), "from": from_domain, "to": to_domain}
        return {"transferred": False, "reason": "No high-confidence strategies"}

if __name__ == "__main__":
    print("TRANSFER LEARNING TEST")
    learner = TransferLearner()
    learner.record_domain_success("file_operations", "iterative_approach", 0.85)
    result = learner.transfer_knowledge("file_operations", "code_generation")
    if result["transferred"]:
        print(f"✅ Transferred from '{result['from']}' to '{result['to']}'")
        print(f"Strategies: {', '.join(result['strategies'])}")
    print("✅ TRANSFER LEARNING OPERATIONAL")
