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Convert LPSolveStats into dataclass

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This commit is contained in:
Alinson S. Xavier
2021-04-11 08:41:50 -05:00
parent 6afdf2ed55
commit 945f6a091c
7 changed files with 24 additions and 28 deletions
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9
miplearn/solvers/tests/__init__.py
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@@ -137,9 +137,10 @@ def run_basic_usage_tests(solver: InternalSolver) -> None:
# Solve linear programming relaxation
lp_stats = solver.solve_lp()
assert not solver.is_infeasible()
assert lp_stats["LP value"] is not None
assert_equals(round(lp_stats["LP value"], 3), 1287.923)
assert len(lp_stats["LP log"]) > 100
assert lp_stats.lp_value is not None
assert lp_stats.lp_log is not None
assert_equals(round(lp_stats.lp_value, 3), 1287.923)
assert len(lp_stats.lp_log) > 100
# Fetch variables (after-load)
assert_equals(
@@ -362,7 +363,7 @@ def run_infeasibility_tests(solver: InternalSolver) -> None:
assert mip_stats["Lower bound"] is None
lp_stats = solver.solve_lp()
assert solver.get_solution() is None
assert lp_stats["LP value"] is None
assert lp_stats.lp_value is None
def run_iteration_cb_tests(solver: InternalSolver) -> None: