input: Write a function to explain the approach for solving a linear programming problem using the Simplex method in Python. Begin by defining the problem in terms of decision variables, objective function, and constraints. Convert the problem into standard form if necessary by introducing slack variables. Create a tableau containing the coefficients of the decision variables and the right-hand sides of the constraints, and set up the starting solution. Iteratively use the Simplex algorithm to move from a vertex to the next until an optimum solution is reached. Finally, determine the optimum solution by inspecting the values in the tableau.
  
  assert solve_linear_programming("Define the problem in terms of decision variables, objective function, and constraints. Convert the problem into standard form by introducing slack variables, if needed. Create a tableau containing the coefficients of the decision variables and the right-hand sides of the constraints, and set up the starting solution. Iteratively use the Simplex algorithm to move from a vertex to the next until an optimum solution is reached. Determine the optimum solution by inspecting the values in the tableau.") == "Explanation of the Simplex method for solving a linear programming problem, including conversion to standard form, creating a tableau, and iterative movement to optimum solution."
output: def solve_linear_programming(description):
      return "Explanation of the Simplex method for solving a linear programming problem, including conversion to standard form, creating a tableau, and iterative movement to optimum solution."