Interface SCIPgetNLPBranchCands (#1029)

* SCIPgetNLPBranchCands

* Update test_gomory.py

* consistency

* return type

Author: Joao-Dionisio

CHANGELOG.md

@@ -8,6 +8,7 @@
 - Added SCIP_LOCKTYPE, addVarLocksType(), getNLocksDown(), getNLocksUp(), getNLocksDownType(), getNLocksUpType(), and tests
 - Added addMatrixConsIndicator(), and tests
 - Added SCIPvarMarkRelaxationOnly, SCIPvarIsRelaxationOnly, SCIPvarMarkDeletable, SCIPvarIsDeletable, and tests
+- Wrapped SCIPgetNLPBranchCands
 ### Fixed
 - Raised an error when an expression is used when a variable is required
 ### Changed

src/pyscipopt/scip.pxi

@@ -9106,6 +9106,18 @@ cdef class Model:
         return ([Variable.create(lpcands[i]) for i in range(nlpcands)], [lpcandssol[i] for i in range(nlpcands)],
                 [lpcandsfrac[i] for i in range(nlpcands)], nlpcands, npriolpcands, nfracimplvars)
 
+    def getNLPBranchCands(self):
+        """
+        Gets number of branching candidates for LP solution branching (number of fractional variables)
+
+ 	Returns
+  	-------
+   	int
+    	    number of LP branching candidates
+
+        """
+        return SCIPgetNLPBranchCands(self._scip)
+
     def getPseudoBranchCands(self):
         """
         Gets branching candidates for pseudo solution branching (non-fixed variables)

tests/test_gomory.py

@@ -187,7 +187,7 @@ def sepaexeclp(self):
         if not scip.isLPSolBasic():
             return {"result": result}
 
-        #TODO: add SCIPgetNLPBranchCands
+        assert type(scip.getNLPBranchCands()) == int
         # get var data ---> this is the same as getVars!
         vars = scip.getVars(transformed = True)