Celes Renata
57619860d5
Complete implementation of the DCOS package including: - 40+ Python source files across agents, communication, core, learning, memory, protocols, utils - pyproject.toml build configuration - 102 unit tests across all subsystems - Fixed flake.nix (Python 3.12, proper dependencies, pyproject build) - Fixed .woodpecker.yml (correct paths, removed silent-fail flags) - Added .gitignore - Cleared stale pytest cache
21 lines
548 B
Python
21 lines
548 B
Python
"""
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Tests for SimulationAgent.
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"""
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import pytest
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from dcos.agents.simulation import SimulationAgent
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class TestSimulationAgent:
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def test_simulate(self):
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agent = SimulationAgent()
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result = agent.simulate("market_scenario", iterations=100)
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assert result["scenario"] == "market_scenario"
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assert "success_probability" in result
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def test_act(self):
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agent = SimulationAgent()
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result = agent.act({"scenario": "test"})
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assert "result" in result
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assert result["iterations"] == 1000
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