input: 
  def explain_simplex_method() -> str:
      """Explain the approach for solving a linear programming problem using the Simplex method in Python.
      
      The Simplex Method is an algorithm for solving a linear programming problem, which involves finding the
      maximum or minimum value of a linear function. This method uses simultaneous equations to define a 
      polytope that contains the solution to the linear programming problem. It then finds the optimal 
      solution in this polytope by iteratively making moves from a vertex to another in the polytope that 
      gives an increase in the message value.
      
      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.
      
      Example:
      >>> explain_simplex_method()
      'The Simplex Method is an algorithm for solving a linear programming problem, which involves finding the 
      maximum or minimum value of a linear function. This method uses simultaneous equations to define a 
      polytope that contains the solution to the linear programming problem. It then finds the optimal 
      solution in this polytope by iteratively making moves from a vertex to another in the polytope that 
      gives an increase in the message value. 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:     return "The Simplex Method is an algorithm for solving a linear programming problem, which involves finding the maximum or minimum value of a linear function. This method uses simultaneous equations to define a polytope that contains the solution to the linear programming problem. It then finds the optimal solution in this polytope by iteratively making moves from a vertex to another in the polytope that gives an increase in the message value. 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."