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test: type dynamic Optimize regression arguments

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Andreas
2026-09-17 13:53:10 +02:00
committed by Andreas
parent cfa245b41a
commit e5578e330c
1 changed files with 4 additions and 2 deletions
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tests/test_optimize_run_result.py
+4 -2
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@@ -2,6 +2,7 @@
from asyncio import Lock from asyncio import Lock
from types import SimpleNamespace from types import SimpleNamespace
from typing import Any
from unittest.mock import AsyncMock, Mock from unittest.mock import AsyncMock, Mock
import pytest import pytest
@@ -76,7 +77,7 @@ async def test_optimization_routes_only_selected_algorithm(
monkeypatch.setattr( monkeypatch.setattr(
getattr(ems_module, prefix + "OptimizationParameters"), "prepare", prepare getattr(ems_module, prefix + "OptimizationParameters"), "prepare", prepare
) )
kwargs = {"start_datetime": to_datetime("2026-09-16T10:00:00+02:00")} kwargs: dict[str, Any] = {"start_datetime": to_datetime("2026-09-16T10:00:00+02:00")}
if selection == "configured": if selection == "configured":
offline_ems.config.optimization.algorithm = algorithm offline_ems.config.optimization.algorithm = algorithm
else: else:
@@ -265,10 +266,11 @@ async def test_conversion_failure_preserves_consistent_previous_results(
constructor = Mock() constructor = Mock()
constructor.return_value.optimize_ems.return_value = solution constructor.return_value.optimize_ems.return_value = solution
monkeypatch.setattr(ems_module, prefix + "Optimization", constructor) monkeypatch.setattr(ems_module, prefix + "Optimization", constructor)
supplied_parameters: dict[str, Any] = {suffix + "_parameters": object()}
result = await cls.run( result = await cls.run(
offline_ems, offline_ems,
algorithm=OptimizationAlgorithm(prefix.upper()), algorithm=OptimizationAlgorithm(prefix.upper()),
**{suffix + "_parameters": object()}, **supplied_parameters,
) )
assert result is None assert result is None
conversion.assert_awaited_once_with() conversion.assert_awaited_once_with()