Fix pipelines (#834)

* Use backwards compatible type hint

* Install bison in macos pipeline

* Enable integration test for pull requests for now

* Install locales needed by tests in ubuntu integration test

* Turn off again integration tests for PRs

.github/workflows/integration-test.yml

@@ -25,6 +25,9 @@ jobs:
           wget --quiet --no-check-certificate https://github.com/scipopt/scip/releases/download/$(echo "v${{env.version}}" | tr -d '.')/SCIPOptSuite-${{ env.version }}-Linux-ubuntu20.deb
           sudo apt-get update && sudo apt install -y ./SCIPOptSuite-${{ env.version }}-Linux-ubuntu20.deb
 
+      - name: Install locales for tests
+        run: sudo apt-get install tzdata locales -y && sudo locale-gen pt_PT && sudo update-locale # add pt_PT locale that is used in tests
+
       - name: Setup python ${{ matrix.python-version }}
         uses: actions/setup-python@v4
         with:
@@ -109,7 +112,7 @@ jobs:
       - name: Install dependencies (SCIPOptSuite)
         if: steps.cache-scip.outputs.cache-hit != 'true'
         run: |
-          brew install tbb boost
+          brew install tbb boost bison
           wget --quiet --no-check-certificate https://github.com/scipopt/scip/releases/download/$(echo "v${{env.version}}" | tr -d '.')/scipoptsuite-${{ env.version }}.tgz
           tar xfz scipoptsuite-${{ env.version }}.tgz
           cd scipoptsuite-${{ env.version }}

src/pyscipopt/recipes/piecewise.py

@@ -1,9 +1,12 @@
+from typing import List
 
 from pyscipopt import Model, quicksum, Variable, Constraint
 
-def add_piecewise_linear_cons(model: Model, X: Variable, Y: Variable, a: list[float], b: list[float]) -> Constraint:
-        """add constraint of the form y = f(x), where f is a piecewise linear function
 
+def add_piecewise_linear_cons(model: Model, X: Variable, Y: Variable, a: List[float], b: List[float]) -> Constraint:
+    """add constraint of the form y = f(x), where f is a piecewise linear function
+
+            :param model: pyscipopt model to add the constraint to
             :param X: x variable
             :param Y: y variable
             :param a: array with x-coordinates of the points in the piecewise linear relation
@@ -12,25 +15,25 @@ def add_piecewise_linear_cons(model: Model, X: Variable, Y: Variable, a: list[fl
             Disclaimer: For the moment, can only model 2d piecewise linear functions
             Adapted from https://github.com/scipopt/PySCIPOpt/blob/master/examples/finished/piecewise.py
         """
-        assert len(a) == len(b), "Must have the same number of x and y-coordinates"
+    assert len(a) == len(b), "Must have the same number of x and y-coordinates"
+
+    K = len(a) - 1
+    w, z = {}, {}
+    for k in range(K):
+        w[k] = model.addVar(lb=-model.infinity())
+        z[k] = model.addVar(vtype="B")
+
+    for k in range(K):
+        model.addCons(w[k] >= a[k] * z[k])
+        model.addCons(w[k] <= a[k + 1] * z[k])
 
-        K = len(a)-1
-        w,z = {},{}
-        for k in range(K):
-            w[k] = model.addVar(lb=-model.infinity()) 
-            z[k] = model.addVar(vtype="B")
+    model.addCons(quicksum(z[k] for k in range(K)) == 1)
 
-        for k in range(K):
-            model.addCons(w[k] >= a[k]*z[k])
-            model.addCons(w[k] <= a[k+1]*z[k])
+    model.addCons(X == quicksum(w[k] for k in range(K)))
 
-        model.addCons(quicksum(z[k] for k in range(K)) == 1)
+    c = [float(b[k + 1] - b[k]) / (a[k + 1] - a[k]) for k in range(K)]
+    d = [b[k] - c[k] * a[k] for k in range(K)]
 
-        model.addCons(X == quicksum(w[k] for k in range(K)))
+    new_cons = model.addCons(Y == quicksum(d[k] * z[k] + c[k] * w[k] for k in range(K)))
 
-        c = [float(b[k+1]-b[k]) / (a[k+1]-a[k]) for k in range(K)]
-        d = [b[k] - c[k]*a[k] for k in range(K)]
-
-        new_cons = model.addCons(Y == quicksum(d[k]*z[k] + c[k]*w[k] for k in range(K)))
-
-        return new_cons
+    return new_cons