[Python] mindtpy solver option under Pyomo 6.9.2 does not work

I tried running the MindtPy example from Pyomo 6.9.2 documentation (page 195) using the following command:

$ pyomo solve --solver=mindtpy .\Temp.py


I get the following error:

Traceback (most recent call last):
File "<frozen runpy>", line 198, in _run_module_as_main
File "<frozen runpy>", line 88, in run_code
File "C:\Users\ZZZ\anaconda3\envs\MyPyomoEnv\Scripts\pyomo.exe_main.py", line 7, in <module>
sys.exit(main_console_script())
~~~~~~~~~~~~~~~~~~~^^
File "C:\Users\ZZZ\anaconda3\envs\MyPyomoEnv\Lib\site-packages\pyomo\scripting\pyomo_main.py", line 105, in main_console_script
ans = main()
File "C:\Users\ZZZ\anaconda3\envs\MyPyomoEnv\Lib\site-packages\pyomo\scripting\pyomo_main.py", line 97, in main
retval = _options.func(_options, _unparsed)
File "C:\Users\ZZZ\anaconda3\envs\MyPyomoEnv\Lib\site-packages\pyomo\scripting\plugins\solve.py", line 197, in solve_exec
config = opt.config_block()
^^^^^^^^^^^^^^^^^^
AttributeError: 'MindtPySolver' object has no attribute 'config_block'


I tried several other MindtPy examples published on GitHub, and all of them produce the same error message.

from pyomo.environ import *

# Create a ConcreteModel
model = ConcreteModel()

# Define variables
model.x = Var(bounds=(0, 10), domain=Reals)
model.y = Var(domain=Binary) # Binary variable

# Define objective function (e.g., minimize a non-linear function)
model.obj = Objective(expr=model.x ** 2 - 4 * model.x + model.y, sense=minimize)

# Define constraints
model.con1 = Constraint(expr=model.x + 2 * model.y >= 5)
model.con2 = Constraint(expr=model.x * model.y <= 3) # Non-linear constraint

# Create a SolverFactory instance for MindtPy
opt = SolverFactory('mindtpy')

# Solve the model using Outer-Approximation (OA) strategy
# Specify the MILP solver (e.g., 'glpk') and NLP solver (e.g., 'ipopt')
results = opt.solve(model,
strategy='OA',
mip_solver='glpk',
nlp_solver='ipopt',
tee=True) # tee=True for detailed output

# Display results
print(f"Objective Value: {model.obj()}")
print(f"x = {model.x()}")
print(f"y = {model.y()}")

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