input: Write a function to explain the approach for solving a linear programming problem using the Simplex method in Python. The function should detail how to define the problem, convert it into standard form, create the tableau, and iteratively solve it using the Simplex algorithm.
  assert explain_simplex_method("Define the problem in terms of the decision variables, objective function, and constraints.") == "To solve a linear programming problem using the Simplex Method in Python, first, define the problem in terms of the decision variables, objective function, and constraints. Next, convert the problem into standard form by introducing slack variables, if needed. Then, create a tableau containing the coefficients of the decision variables and the right-hand sides of the constraints, and set up the starting solution in the tableau. Now, 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."
  assert explain_simplex_method("How to convert the problem into standard form?") == "The problem is converted into standard form by introducing slack variables if needed, which helps in transforming inequality constraints into equality constraints that can be used in the Simplex algorithm."
  assert explain_simplex_method("What is the purpose of the tableau in Simplex Method?") == "The tableau in the Simplex Method is used to contain the coefficients of the decision variables and the right-hand sides of the constraints, aiding in the iterative solving process to move from one vertex to the next in the polytope that contains the solution."
  assert explain_simplex_method("How do you determine the optimum solution?") == "The optimum solution is determined by inspecting the values in the final tableau, where the values of the decision variables correspond to the solution that maximizes or minimizes the objective function."
  assert explain_simplex_method("") == "To solve a linear programming problem using the Simplex Method in Python, first, define the problem in terms of the decision variables, objective function, and constraints. Next, convert the problem into standard form by introducing slack variables, if needed. Then, create a tableau containing the coefficients of the decision variables and the right-hand sides of the constraints, and set up the starting solution in the tableau. Now, 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."
output: def explain_simplex_method(question):
      if question == "Define the problem in terms of the decision variables, objective function, and constraints.":
          return "To solve a linear programming problem using the Simplex Method in Python, first, define the problem in terms of the decision variables, objective function, and constraints. Next, convert the problem into standard form by introducing slack variables, if needed. Then, create a tableau containing the coefficients of the decision variables and the right-hand sides of the constraints, and set up the starting solution in the tableau. Now, 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."
      elif question == "How to convert the problem into standard form?":
          return "The problem is converted into standard form by introducing slack variables if needed, which helps in transforming inequality constraints into equality constraints that can be used in the Simplex algorithm."
      elif question == "What is the purpose of the tableau in Simplex Method?":
          return "The tableau in the Simplex Method is used to contain the coefficients of the decision variables and the right-hand sides of the constraints, aiding in the iterative solving process to move from one vertex to the next in the polytope that contains the solution."
      elif question == "How do you determine the optimum solution?":
          return "The optimum solution is determined by inspecting the values in the final tableau, where the values of the decision variables correspond to the solution that maximizes or minimizes the objective function."
      else:
          return "To solve a linear programming problem using the Simplex Method in Python, first, define the problem in terms of the decision variables, objective function, and constraints. Next, convert the problem into standard form by introducing slack variables, if needed. Then, create a tableau containing the coefficients of the decision variables and the right-hand sides of the constraints, and set up the starting solution in the tableau. Now, 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."