Clean: silence ruff RUF100 and Pyright false positives from solver stubs

Author: LucasBoTang

pkg/pyepo/metric/metrics.py

@@ -59,7 +59,7 @@ def SPOError(
         optmodel._setFullObj(optmodel._fullCost(c))
         _, optobj = optmodel.solve()
         # per-instance regret
-        regret_sum += calRegret(optmodel, cp, c, optobj)
+        regret_sum += calRegret(optmodel, cp, c, optobj)  # type: ignore[arg-type]
         optobj_sum += np.abs(optobj)
     # normalized regret
     return regret_sum / (optobj_sum + _EPS)

pkg/pyepo/model/copt/compile.py

@@ -62,7 +62,7 @@ def _read_sol(self):
         try:
             # MVar.x is a coptpy NdArray; tolist() flattens it to plain floats
             return np.asarray(self.x.x.tolist(), dtype=float), self._model.objVal
-        except Exception as e:  # noqa: BLE001  coptpy raises generic errors on no-solution
+        except Exception as e:  # coptpy raises generic errors on no-solution
             raise RuntimeError(f"COPT found no solution (status {self._model.status}).") from e
 
     def _add_cut(self, coef, rhs):

pkg/pyepo/model/copt/coptmodel.py

@@ -112,7 +112,7 @@ def solve(self) -> tuple[np.ndarray, float]:
             else:
                 sol = np.asarray(self._model.getInfo("Value", self._vars_list))
             obj = self._model.objVal
-        except Exception as e:  # noqa: BLE001  coptpy raises generic errors on no-solution
+        except Exception as e:  # coptpy raises generic errors on no-solution
             raise RuntimeError(f"COPT found no solution (status {self._model.status}).") from e
         return sol, obj
 
@@ -127,7 +127,7 @@ def copy(self) -> Self:
         new_model._model = self._model.clone()
         new_vars = new_model._model.getVars()
         if _is_mvar(self.x):
-            new_model.x = _CoptMVar.fromlist(new_vars)
+            new_model.x = _CoptMVar.fromlist(new_vars)  # type: ignore[union-attr]
             new_model._vars_list = None
         else:
             new_model.x = {key: new_vars[i] for i, key in enumerate(self.x)}

pkg/pyepo/model/copt/tsp.py

@@ -180,7 +180,7 @@ class tspDFJModel(tspABModel):
     overridden here.
     """
 
-    class _SubtourCallback(CallbackBase):
+    class _SubtourCallback(CallbackBase):  # type: ignore[misc]
         """
         A callback class for subtour elimination
         """
@@ -255,7 +255,7 @@ def solve(self) -> tuple[np.ndarray, float]:
     def _addExtraConstr(self, coefs: np.ndarray | torch.Tensor | list, rhs: float) -> None:
         """Add a single linear constraint to ``self._model`` using the DFJ variable scheme."""
         expr = LinExpr()
-        expr.addTerms(self._cost_vars, coefs.tolist())
+        expr.addTerms(self._cost_vars, coefs.tolist())  # type: ignore[attr-defined]
         self._model.addConstr(expr <= rhs)
 
 

pkg/pyepo/model/copt/vrp.py

@@ -47,7 +47,7 @@ class vrpRCIModel(vrpABModel):
     branch-and-cut via a COPT callback.
     """
 
-    class _RCICallback(CallbackBase):
+    class _RCICallback(CallbackBase):  # type: ignore[misc]
         """A callback for rounded-capacity / subtour elimination cuts."""
 
         def __init__(self, x, n, edges, demands, capacity):

pkg/pyepo/model/grb/compile.py

@@ -37,7 +37,7 @@ def _getModel(self) -> tuple:
         # build the gurobi model from the finalized IR
         prob = self.problem
         m = gp.Model()
-        m.Params.outputFlag = 0
+        m.Params.outputFlag = 0  # type: ignore[attr-defined]
         # objective sense (EPO -> Gurobi)
         m.modelSense = GRB.MAXIMIZE if prob.objective.modelSense == EPO.MAXIMIZE else GRB.MINIMIZE
         x = self._build_flat_vars(m)

pkg/pyepo/model/grb/grbmodel.py

@@ -83,7 +83,7 @@ def setObj(self, c: np.ndarray | torch.Tensor | list) -> None:
         c = costToNumpy(c)
         if isinstance(self.x, gp.MVar):
             # direct Obj attr write skips MLinExpr allocation
-            self.x.Obj = c
+            self.x.Obj = c  # type: ignore[attr-defined]
         else:
             # batch C-level coefficient update
             self._model.setAttr("Obj", self._vars_list, c.tolist())
@@ -101,7 +101,7 @@ def solve(self) -> tuple[np.ndarray, float]:
         if self._model.SolCount == 0:
             raise RuntimeError(f"Gurobi found no solution (status {self._model.Status}).")
         if isinstance(self.x, gp.MVar):
-            sol = self.x.x
+            sol = self.x.x  # type: ignore[attr-defined]
         else:
             sol = np.asarray(self._model.getAttr("X", self._vars_list))
         obj = self._model.objVal

pkg/pyepo/model/grb/shortestpath.py

@@ -45,7 +45,7 @@ def _getModel(self) -> tuple:
         b = np.zeros(num_nodes, dtype=np.float64)
         b[0] = -1.0
         b[num_nodes - 1] = 1.0
-        m.addConstr(A @ x == b)
+        m.addConstr(A @ x == b)  # type: ignore[call-overload, arg-type]
         return m, x