zwitschi
39c45e720c
- Create .env.example for environment variables - Update README with project structure and development setup instructions - Implement FastAPI application with API routes for scenarios and parameters - Add database models for scenarios, parameters, and simulation results - Introduce validation middleware for JSON requests - Create services for running simulations and generating reports - Add testing strategy and directory structure in documentation
18 lines
520 B
Python
18 lines
520 B
Python
from typing import Dict, List
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def run_simulation(parameters: List[Dict[str, float]], iterations: int = 1000) -> List[Dict[str, float]]:
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"""
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Run Monte Carlo simulation with given parameters.
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Args:
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parameters: List of parameter dicts with keys 'name' and 'value'.
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iterations: Number of simulation iterations.
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Returns:
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List of simulation result dicts for each iteration.
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"""
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# TODO: implement Monte Carlo logic
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results: List[Dict[str, float]] = []
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return results
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