[Python] Debugging scipy.minimize

I am trying to "minimize" using SLSQP in scipy module. With a lot of difficulty, I am trying to implement some constraints. I am encountering some strange error, thus unable to debug. My favourite way to debug is by using watchlists/break-points. I got the following error:

File "d:\i.PhD\H.Synthetic Model\3LayerModel\CRMPL\crmpl_functions_class.*emphasized text*py", line 471, in fit_model
res = minimize(self.loss_function, x0,args = (input_series, ilt,bhpgrad,q_obs), \
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "d:\i.PhD\H.Synthetic Model\3LayerModel\CRMPL\.venv\.venv\Lib\site-packages\scipy\optimize\_minimize.py", line 743, in minimize
res = _minimize_slsqp(fun, x0, args, jac, bounds,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "d:\i.PhD\H.Synthetic Model\3LayerModel\CRMPL\.venv\.venv\Lib\site-packages\scipy\optimize\_slsqp_py.py", line 423, in _minimize_slsqp
c = _eval_constraint(x, cons)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "d:\i.PhD\H.Synthetic Model\3LayerModel\CRMPL\.venv\.venv\Lib\site-packages\scipy\optimize\_slsqp_py.py", line 473, in _eval_constraint
c_eq = concatenate([atleast_1d(con['fun'](x, *con['args']))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 1 dimension(s) and the array at index 1 has 2 dimension(s)


Note that I implemented three sets of constraints. However, I am not able to debug the origin of this error.

What is the cause of the error and how do I fix it?

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