mirror of
https://github.com/ANL-CEEESA/MIPLearn.git
synced 2025-12-10 11:28:51 -06:00
Solver: Make attributes private; ensure we're not calling them directly
Helps with Julia/JuMP integration.
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@@ -21,36 +21,36 @@ def _gurobi_callback(model: AbstractModel, gp_model: gp.Model, where: int) -> No
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assert isinstance(gp_model, gp.Model)
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# Lazy constraints
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if model.lazy_separate is not None:
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assert model.lazy_enforce is not None
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assert model.lazy_ is not None
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if model._lazy_separate is not None:
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assert model._lazy_enforce is not None
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assert model._lazy is not None
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if where == GRB.Callback.MIPSOL:
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model.where = model.WHERE_LAZY
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violations = model.lazy_separate(model)
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model._where = model.WHERE_LAZY
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violations = model._lazy_separate(model)
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if len(violations) > 0:
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model.lazy_.extend(violations)
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model.lazy_enforce(model, violations)
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model._lazy.extend(violations)
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model._lazy_enforce(model, violations)
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# User cuts
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if model.cuts_separate is not None:
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assert model.cuts_enforce is not None
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assert model.cuts_ is not None
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if model._cuts_separate is not None:
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assert model._cuts_enforce is not None
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assert model._cuts is not None
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if where == GRB.Callback.MIPNODE:
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status = gp_model.cbGet(GRB.Callback.MIPNODE_STATUS)
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if status == GRB.OPTIMAL:
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model.where = model.WHERE_CUTS
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if model.cuts_aot_ is not None:
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violations = model.cuts_aot_
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model.cuts_aot_ = None
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model._where = model.WHERE_CUTS
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if model._cuts_aot is not None:
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violations = model._cuts_aot
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model._cuts_aot = None
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logger.info(f"Enforcing {len(violations)} cuts ahead-of-time...")
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else:
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violations = model.cuts_separate(model)
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violations = model._cuts_separate(model)
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if len(violations) > 0:
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model.cuts_.extend(violations)
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model.cuts_enforce(model, violations)
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model._cuts.extend(violations)
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model._cuts_enforce(model, violations)
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# Cleanup
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model.where = model.WHERE_DEFAULT
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model._where = model.WHERE_DEFAULT
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def _gurobi_add_constr(gp_model: gp.Model, where: str, constr: Any) -> None:
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@@ -64,11 +64,11 @@ def _gurobi_add_constr(gp_model: gp.Model, where: str, constr: Any) -> None:
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def _gurobi_set_required_params(model: AbstractModel, gp_model: gp.Model) -> None:
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# Required parameters for lazy constraints
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if model.lazy_enforce is not None:
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if model._lazy_enforce is not None:
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gp_model.setParam("PreCrush", 1)
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gp_model.setParam("LazyConstraints", 1)
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# Required parameters for user cuts
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if model.cuts_enforce is not None:
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if model._cuts_enforce is not None:
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gp_model.setParam("PreCrush", 1)
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@@ -87,10 +87,10 @@ class GurobiModel(AbstractModel):
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cuts_enforce: Optional[Callable] = None,
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) -> None:
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super().__init__()
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self.lazy_separate = lazy_separate
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self.lazy_enforce = lazy_enforce
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self.cuts_separate = cuts_separate
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self.cuts_enforce = cuts_enforce
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self._lazy_separate = lazy_separate
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self._lazy_enforce = lazy_enforce
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self._cuts_separate = cuts_separate
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self._cuts_enforce = cuts_enforce
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self.inner = inner
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def add_constrs(
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@@ -118,7 +118,7 @@ class GurobiModel(AbstractModel):
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stats["Added constraints"] += nconstrs
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def add_constr(self, constr: Any) -> None:
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_gurobi_add_constr(self.inner, self.where, constr)
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_gurobi_add_constr(self.inner, self._where, constr)
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def extract_after_load(self, h5: H5File) -> None:
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"""
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@@ -168,10 +168,10 @@ class GurobiModel(AbstractModel):
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except AttributeError:
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pass
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self._extract_after_mip_solution_pool(h5)
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if self.lazy_ is not None:
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h5.put_scalar("mip_lazy", json.dumps(self.lazy_))
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if self.cuts_ is not None:
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h5.put_scalar("mip_cuts", json.dumps(self.cuts_))
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if self._lazy is not None:
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h5.put_scalar("mip_lazy", json.dumps(self._lazy))
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if self._cuts is not None:
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h5.put_scalar("mip_cuts", json.dumps(self._cuts))
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def fix_variables(
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self,
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@@ -196,8 +196,8 @@ class GurobiModel(AbstractModel):
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stats["Fixed variables"] = n_fixed
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def optimize(self) -> None:
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self.lazy_ = []
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self.cuts_ = []
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self._lazy = []
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self._cuts = []
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def callback(_: gp.Model, where: int) -> None:
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_gurobi_callback(self, self.inner, where)
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