Unable to resolve KeyError: "Index 'slice(None, None, None)' is not valid for indexed component 'MindtPy_utils.objective_value'"

import pandas as pd
import random as r
import numpy as np
import glpk
from pyomo.environ import *
from amplpy import AMPL

def pyblock(pyp, pytau, pyr, pys):
  
  
  M = ConcreteModel()
  
  M.m = Set(initialize = list(range(int(len(pyp)))))
  M.e = Set(initialize = list(range(int(len(pyr)))))
  M.s = Set(initialize = list(range(int(pys))))
  
  M.r = Param(M.e, initialize = pyr)
  M.tau = Param(M.m, initialize = pytau)
  M.p = Param(M.m, M.e, M.s, initialize = 0)
      
  M.n = Var(M.m, M.e, M.s, domain=NonNegativeIntegers, initialize=0)
  
  def obj(M):
    return sum(-log(1-prod((1-pyp[i,j,k])**(M.n[i,j,k]) for j in M.e for k in M.s)) for i in M.m)
  M.obj=Objective(rule=obj, sense=minimize)
  
  def fire_rate(M, j, k):
    return sum(M.n[i,j,k] for i in M.m) <= M.r[j]
  M.fire_rate=Constraint(M.e, M.s, rule = fire_rate)

  opt = SolverFactory('mindtpy')
  results = opt.solve(
    M,
    mip_solver = 'cplex',
    nlp_solver = 'ipopt',
    tee=True
  )
  # results.write()
     
  return M.n.extract_values()

Currently trying to solve this MINLP with pyomo and mindtpy. Parameters are called from R with reticulate. Ipopt solves this with non-integer solutions however I am looking to use mindtpy to provide integer solutions. When I run it, I get the following error:

Error in py_call_impl(callable, call_args$unnamed, call_args$named) : KeyError: "Index 'slice(None, None, None)' is not valid for indexed component 'MindtPy_utils.objective_value'"

Any help is greatly appreciated.

source https://stackoverflow.com/questions/77668994/unable-to-resolve-keyerror-index-slicenone-none-none-is-not-valid-for-in