I am defining one LP and the details are as follows:

from docplex.mp.model import Model

import numpy as np

import sys

#-------------------------------------#

## Parameters Details

tech_coeff=np.array([[1, 1, 1, 1, 1],[0.4, 0.4, 0.4, -0.6, -0.6],[0.5, 0.5, -0.5, 0, 0],[0.06, 0.03, -0.01, 0.01, -0.02]])

rhs_coeff=np.array([12, 0, 0, 0])

cost_coeff=np.array([0.026, 0.0509, 0.0864, 0.06875, 0.078])

## Creating Model

mod1=Model(name='my first model')

## Defining variables

x={i:mod1.continuous_var(name='x_{}'.format(i+1)) for i in range(5)}

x_vars_scope=[]

for i in x:

x_vars_scope.append(x[i])

x_vars=np.array(x_vars_scope)

## Adding constraints

for i in range(len(tech_coeff)):

mod1.add_constraint(tech_coeff[i].dot(x_vars.transpose())<= rhs_coeff[i],ctname='constraint_number_{}'.format(i+1))

## Objective function

objective=cost_coeff.dot(x_vars.transpose())

mod1.maximize(objective)

## Solving the model

mod1.solve()

mod1.print_solution()

I want to get the RHS (numeric value) of each constraint.

I request to the community please help me in this regard.

Thanks,

Samiullah