```json
{
  "sym_variables": [
    ("x0", "security onions"),
    ("x1", "Mbps bandwidth allocated to monitoring"),
    ("x2", "network administrators"),
    ("x3", "honeypots")
  ],
  "objective_function": "9.49 * x0 + 5.58 * x1 + 2.35 * x2 + 3.46 * x3",
  "constraints": [
    "20.63 * x0 + 19.43 * x3 >= 70",
    "20.63 * x0 + 4.8 * x1 >= 58",
    "2.94 * x2 + 19.43 * x3 >= 66",
    "20.63 * x0 + 2.94 * x2 >= 54",
    "4.8 * x1 + 19.43 * x3 >= 55",
    "4.8 * x1 + 2.94 * x2 >= 33",
    "20.63 * x0 + 2.94 * x2 + 19.43 * x3 >= 40",
    "20.63 * x0 + 4.8 * x1 + 2.94 * x2 + 19.43 * x3 >= 40",
    "2.64 * x1 + 22.65 * x2 >= 63",
    "13.19 * x0 + 22.65 * x2 >= 43",
    "2.64 * x1 + 15.3 * x3 >= 70",
    "13.19 * x0 + 15.3 * x3 >= 41",
    "13.19 * x0 + 2.64 * x1 >= 47",
    "2.64 * x1 + 22.65 * x2 + 15.3 * x3 >= 72",
    "13.19 * x0 + 2.64 * x1 + 22.65 * x2 >= 72",
    "13.19 * x0 + 2.64 * x1 + 15.3 * x3 >= 72",
    "2.64 * x1 + 22.65 * x2 + 15.3 * x3 >= 44",
    "13.19 * x0 + 2.64 * x1 + 22.65 * x2 >= 44",
    "13.19 * x0 + 2.64 * x1 + 15.3 * x3 >= 44",
    "2.64 * x1 + 22.65 * x2 + 15.3 * x3 >= 36",
    "13.19 * x0 + 2.64 * x1 + 22.65 * x2 >= 36",
    "13.19 * x0 + 2.64 * x1 + 15.3 * x3 >= 36",
    "13.19 * x0 + 2.64 * x1 + 22.65 * x2 + 15.3 * x3 >= 36",
    "-9 * x2 + 2 * x3 >= 0",
    "-10 * x0 + 7 * x2 >= 0",
    "4.8 * x1 + 2.94 * x2 <= 174",
    "20.63 * x0 + 4.8 * x1 + 19.43 * x3 <= 148",
    "20.63 * x0 + 2.94 * x2 + 19.43 * x3 <= 240",
    "20.63 * x0 + 4.8 * x1 + 2.94 * x2 <= 260",
    "x0, x1, x2, x3 are integers"

  ]
}
```

```python
import gurobipy as gp

# Create a new model
m = gp.Model("optimization_problem")

# Create variables
security_onions = m.addVar(vtype=gp.GRB.INTEGER, name="security_onions")
bandwidth = m.addVar(vtype=gp.GRB.INTEGER, name="Mbps_bandwidth_allocated_to_monitoring")
network_admins = m.addVar(vtype=gp.GRB.INTEGER, name="network_administrators")
honeypots = m.addVar(vtype=gp.GRB.INTEGER, name="honeypots")


# Set objective function
m.setObjective(9.49 * security_onions + 5.58 * bandwidth + 2.35 * network_admins + 3.46 * honeypots, gp.GRB.MINIMIZE)

# Add constraints
m.addConstr(20.63 * security_onions + 19.43 * honeypots >= 70)
m.addConstr(20.63 * security_onions + 4.8 * bandwidth >= 58)
m.addConstr(2.94 * network_admins + 19.43 * honeypots >= 66)
m.addConstr(20.63 * security_onions + 2.94 * network_admins >= 54)
m.addConstr(4.8 * bandwidth + 19.43 * honeypots >= 55)
m.addConstr(4.8 * bandwidth + 2.94 * network_admins >= 33)
m.addConstr(20.63 * security_onions + 2.94 * network_admins + 19.43 * honeypots >= 40)
m.addConstr(20.63 * security_onions + 4.8 * bandwidth + 2.94 * network_admins + 19.43 * honeypots >= 40)
m.addConstr(2.64 * bandwidth + 22.65 * network_admins >= 63)
m.addConstr(13.19 * security_onions + 22.65 * network_admins >= 43)
m.addConstr(2.64 * bandwidth + 15.3 * honeypots >= 70)
m.addConstr(13.19 * security_onions + 15.3 * honeypots >= 41)
m.addConstr(13.19 * security_onions + 2.64 * bandwidth >= 47)
m.addConstr(2.64 * bandwidth + 22.65 * network_admins + 15.3 * honeypots >= 72)
m.addConstr(13.19 * security_onions + 2.64 * bandwidth + 22.65 * network_admins >= 72)
m.addConstr(13.19 * security_onions + 2.64 * bandwidth + 15.3 * honeypots >= 72)
m.addConstr(2.64 * bandwidth + 22.65 * network_admins + 15.3 * honeypots >= 44)
m.addConstr(13.19 * security_onions + 2.64 * bandwidth + 22.65 * network_admins >= 44)
m.addConstr(13.19 * security_onions + 2.64 * bandwidth + 15.3 * honeypots >= 44)
m.addConstr(2.64 * bandwidth + 22.65 * network_admins + 15.3 * honeypots >= 36)
m.addConstr(13.19 * security_onions + 2.64 * bandwidth + 22.65 * network_admins >= 36)
m.addConstr(13.19 * security_onions + 2.64 * bandwidth + 15.3 * honeypots >= 36)
m.addConstr(13.19 * security_onions + 2.64 * bandwidth + 22.65 * network_admins + 15.3 * honeypots >= 36)
m.addConstr(-9 * network_admins + 2 * honeypots >= 0)
m.addConstr(-10 * security_onions + 7 * network_admins >= 0)
m.addConstr(4.8 * bandwidth + 2.94 * network_admins <= 174)
m.addConstr(20.63 * security_onions + 4.8 * bandwidth + 19.43 * honeypots <= 148)
m.addConstr(20.63 * security_onions + 2.94 * network_admins + 19.43 * honeypots <= 240)
m.addConstr(20.63 * security_onions + 4.8 * bandwidth + 2.94 * network_admins <= 260)


# Optimize model
m.optimize()

# Print results
if m.status == gp.GRB.OPTIMAL:
    print('Obj: %g' % m.objVal)
    print('security_onions:', security_onions.x)
    print('bandwidth:', bandwidth.x)
    print('network_admins:', network_admins.x)
    print('honeypots:', honeypots.x)
elif m.status == gp.GRB.INFEASIBLE:
    print("The model is infeasible.")
else:
    print("The model could not be solved to optimality.")

```