Implementing multiple branching rules in the same branch and bound tree in PySCIPOpt

Question

I would like to implement a custom branching rule initially (for a few nodes in the top of the tree), and then use Scip's implementation of vanilla full strong branching rule (or some other rule like pseudocost). Is this possible to do using/by extending PySCIPOpt?

import pyscipopt as scip
import random

class oddevenbranch(scip.Branchrule):

def branchexeclp(self, allowaddcons):
    '''
    This rule uses the branching rule I have defined if the node number is odd, 
    and should use strong branching otherwise.
    '''
    node_ = self.model.getCurrentNode()
    num = node_.getNumber()
    if num % 2 == 1:
        candidate_vars, *_ = self.model.getLPBranchCands()
        branch_var_idx = random.randint(0,len(candidate_vars)-1)
        branch_var = candidate_vars[branch_var_idx]
        self.model.branchVar(branch_var)
        result = scip.SCIP_RESULT.BRANCHED
        return {"result": result}

    else:
        print(num, ': Did not branch')
        result = scip.SCIP_RESULT.DIDNOTRUN
        return {"result": result}

if __name__ == "__main__":

    m1 = scip.Model()
    m1.readProblem('xyz.mps') # Used to read the instance
    m1.setIntParam('branching/fullstrong/priority', 11000)

    branchrule = oddevenbranch()
    m1.includeBranchrule(branchrule=branchrule,
                        name="CustomRand", # name of the branching rule
                        desc="",           # description of the branching rule
                        priority=100000,   # priority: set to this to make it default
                        maxdepth=-1,       # maximum depth up to which it will be used, or -1 for no restriction
                        maxbounddist=1)    # maximal relative distance from current node's dual bound to primal 

    m1.optimize()

I wonder what is causing this behavior. Does it need to call branching multiple times to perform strong branching?

2 : Did not branch
2 : Did not branch
2 : Did not branch
2 : Did not branch
2 : Did not branch
2 : Did not branch
2 : Did not branch
2 : Did not branch
2 : Did not branch
2 : Did not branch