```json
{
  "sym_variables": [
    ("x1", "lemons"),
    ("x2", "bananas")
  ],
  "objective_function": "2*x1 + 1*x2",
  "constraints": [
    "3*x1 + 1.5*x2 <= 1000",
    "x1 >= 250",
    "x1 <= 300",
    "x2 <= (1/3)*x1"
  ]
}
```

```python
from gurobipy import Model, GRB

# Create a new model
m = Model("fruit_stand")

# Create variables
lemons = m.addVar(lb=0, vtype=GRB.INTEGER, name="lemons")
bananas = m.addVar(lb=0, vtype=GRB.INTEGER, name="bananas")

# Set objective function
m.setObjective(2 * lemons + bananas, GRB.MAXIMIZE)

# Add constraints
m.addConstr(3 * lemons + 1.5 * bananas <= 1000, "budget")
m.addConstr(lemons >= 250, "min_lemons")
m.addConstr(lemons <= 300, "max_lemons")
m.addConstr(bananas <= (1/3) * lemons, "banana_limit")


# Optimize model
m.optimize()

if m.status == GRB.OPTIMAL:
    print('Obj: %g' % m.objVal)
    print('Lemons: %g' % lemons.x)
    print('Bananas: %g' % bananas.x)
elif m.status == GRB.INFEASIBLE:
    print('The model is infeasible.')
else:
    print('Optimization ended with status %d' % m.status)

```
