```json
{
  "sym_variables": [
    ("x0", "hours worked by Mary"),
    ("x1", "hours worked by Bill"),
    ("x2", "hours worked by John"),
    ("x3", "hours worked by Bobby")
  ],
  "objective_function": "9.41 * x0 + 6.59 * x1 + 3.37 * x2 + 1.98 * x3",
  "constraints": [
    "5 * x1 + 2 * x2 + 2 * x3 >= 4",
    "4 * x0 + 5 * x1 + 2 * x2 >= 4",
    "4 * x0 + 4 * x1 + 4 * x0 + 5 * x1 + 2 * x2 >= 8",
    "4 * x1 + 4 * x2 >= 7",
    "4 * x1 + 4 * x2 + 3 * x3 >= 5",
    "2 * x0 + 4 * x2 + 3 * x3 >= 5",
    "4 * x1 + 4 * x2 + 3 * x3 >= 7",
    "2 * x0 + 4 * x2 + 3 * x3 >= 7",
    "4 * x0 + 2 * x3 <= 15",
    "4 * x0 + 5 * x1 <= 14",
    "4 * x0 + 5 * x1 + 2 * x3 <= 10",
    "4 * x0 + 5 * x1 + 2 * x2 + 2 * x3 <= 10",
    "x1 + 3 * x2 <= 29",
    "3 * x2 + 3 * x3 <= 19",
    "4 * x0 + x1 <= 17",
    "x1 + 3 * x2 + 3 * x3 <= 25",
    "4 * x0 + 3 * x2 + 3 * x3 <= 13",
    "4 * x0 + x1 + 3 * x3 <= 22",
    "4 * x0 + x1 + 3 * x2 + 3 * x3 <= 22",
    "4 * x1 + 4 * x2 <= 22",
    "2 * x0 + 3 * x3 <= 7",
    "4 * x2 + 3 * x3 <= 14",
    "2 * x0 + 4 * x2 <= 23",
    "2 * x0 + 4 * x1 + 4 * x2 + 3 * x3 <= 23"
  ]
}
```

```python
import gurobipy as gp

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

# Create variables
mary = m.addVar(lb=0, vtype=gp.GRB.CONTINUOUS, name="mary")
bill = m.addVar(lb=0, vtype=gp.GRB.INTEGER, name="bill")
john = m.addVar(lb=0, vtype=gp.GRB.INTEGER, name="john")
bobby = m.addVar(lb=0, vtype=gp.GRB.INTEGER, name="bobby")

# Set objective function
m.setObjective(9.41 * mary + 6.59 * bill + 3.37 * john + 1.98 * bobby, gp.GRB.MAXIMIZE)

# Add constraints
m.addConstr(5 * bill + 2 * john + 2 * bobby >= 4, "c1")
m.addConstr(4 * mary + 5 * bill + 2 * john >= 4, "c2")


m.addConstr(4 * mary + bill + 3 * john >= 8, "c3")
m.addConstr(4 * bill + 4 * john >= 7, "c4")
m.addConstr(4 * bill + 4 * john + 3 * bobby >= 5, "c5")
m.addConstr(2 * mary + 4 * john + 3 * bobby >= 5, "c6")
m.addConstr(4 * bill + 4 * john + 3 * bobby >= 7, "c7")
m.addConstr(2 * mary + 4 * john + 3 * bobby >= 7, "c8")
m.addConstr(4 * mary + 2 * bobby <= 15, "c9")
m.addConstr(4 * mary + 5 * bill <= 14, "c10")
m.addConstr(4 * mary + 5 * bill + 2 * bobby <= 10, "c11")
m.addConstr(4 * mary + 5 * bill + 2 * john + 2 * bobby <= 10, "c12")
m.addConstr(bill + 3 * john <= 29, "c13")
m.addConstr(3 * john + 3 * bobby <= 19, "c14")
m.addConstr(4 * mary + bill <= 17, "c15")
m.addConstr(bill + 3 * john + 3 * bobby <= 25, "c16")
m.addConstr(4 * mary + 3 * john + 3 * bobby <= 13, "c17")
m.addConstr(4 * mary + bill + 3 * bobby <= 22, "c18")
m.addConstr(4 * mary + bill + 3 * john + 3 * bobby <= 22, "c19")
m.addConstr(4 * bill + 4 * john <= 22, "c20")
m.addConstr(2 * mary + 3 * bobby <= 7, "c21")
m.addConstr(4 * john + 3 * bobby <= 14, "c22")
m.addConstr(2 * mary + 4 * john <= 23, "c23")
m.addConstr(2 * mary + 4 * bill + 4 * john + 3 * bobby <= 23, "c24")


# Optimize model
m.optimize()

# Print results
if m.status == gp.GRB.OPTIMAL:
    print('Obj: %g' % m.objVal)
    for v in m.getVars():
        print('%s %g' % (v.varName, v.x))
elif m.status == gp.GRB.INFEASIBLE:
    print("The model is infeasible.")
else:
    print("Optimization ended with status %d" % m.status)

```