## Problem Description and Formulation

The problem requires minimizing the objective function: $3 \times \text{chicken thighs} + 2 \times \text{apple pies} + 6 \times \text{knishes}$.

Subject to the following constraints:

1. $\text{chicken thighs} \geq 0$, $\text{apple pies} \geq 0$, $\text{knishes} \geq 0$
2. $6 \times \text{chicken thighs} + 19 \times \text{apple pies} \geq 57$
3. $6 \times \text{chicken thighs} + 17 \times \text{knishes} \geq 59$
4. $6 \times \text{chicken thighs} + 19 \times \text{apple pies} + 17 \times \text{knishes} \geq 59$
5. $-10 \times \text{chicken thighs} + 1 \times \text{apple pies} \geq 0$

The variables are:

- $\text{chicken thighs}$ (continuous)
- $\text{apple pies}$ (continuous)
- $\text{knishes}$ (continuous)

## Gurobi Code Formulation

```python
import gurobipy as gp

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

# Define the variables
chicken_thighs = m.addVar(name="chicken_thighs", lb=0)  # Lower bound is 0, not necessarily integer
apple_pies = m.addVar(name="apple_pies", lb=0)  # Lower bound is 0, not necessarily integer
knishes = m.addVar(name="knishes", lb=0)  # Lower bound is 0, not necessarily integer

# Objective function
m.setObjective(3 * chicken_thighs + 2 * apple_pies + 6 * knishes, gp.GRB.MINIMIZE)

# Constraints
m.addConstr(6 * chicken_thighs + 19 * apple_pies >= 57, name="calcium_from_chicken_and_pies")
m.addConstr(6 * chicken_thighs + 17 * knishes >= 59, name="calcium_from_chicken_and_knishes")
m.addConstr(6 * chicken_thighs + 19 * apple_pies + 17 * knishes >= 59, name="total_calcium")
m.addConstr(-10 * chicken_thighs + apple_pies >= 0, name="chicken_and_pie_relation")

# Solve the model
m.optimize()

# Print the solution
if m.status == gp.GRB.OPTIMAL:
    print("Objective: ", m.objVal)
    print("Chicken Thighs: ", chicken_thighs.varValue)
    print("Apple Pies: ", apple_pies.varValue)
    print("Knishes: ", knishes.varValue)
else:
    print("The model is infeasible")
```