human
Solve the following python programming problem given the following code:
# Few Utility functions
def say(*lst):
    """
    Print whithout going to new line
    """
    print(*lst, end="")
    sys.stdout.flush()

def random_value(low, high, decimals=2):
    """
    Generate a random number between low and high. 
    decimals incidicate number of decimal places
    """
    return round(random.uniform(low, high),decimals)

def gt(a, b): return a > b

def lt(a, b): return a < b

def shuffle(lst):
    """
    Shuffle a list
    """
    random.shuffle(lst)
    return lst

class Decision(O):
    """
    Class indicating Decision of a problem
    """
    def __init__(self, name, low, high):
        """
        @param name: Name of the decision
        @param low: minimum value
        @param high: maximum value
        """
        O.__init__(self, name=name, low=low, high=high)
        
class Objective(O):
    """
    Class indicating Objective of a problem
    """
    def __init__(self, name, do_minimize=True, low=0, high=1):
        """
        @param name: Name of the objective
        @param do_minimize: Flag indicating if objective has to be minimized or maximized
        """
        O.__init__(self, name=name, do_minimize=do_minimize, low=low, high=high)
        
    def normalize(self, val):
        return (val - self.low)/(self.high - self.low)

class Point(O):
    """
    Represents a member of the population
    """
    def __init__(self, decisions):
        O.__init__(self)
        self.decisions = decisions
        self.objectives = None
        
    def __hash__(self):
        return hash(tuple(self.decisions))
    
    def __eq__(self, other):
        return self.decisions == other.decisions
    
    def clone(self):
        new = Point(self.decisions[:])
        new.objectives = self.objectives[:]
        return new

class Problem(O):
    """
    Class representing the cone problem.
    """
    def __init__(self, decisions, objectives):
        """
        Initialize Problem.
        :param decisions -  Metadata for Decisions
        :param objectives - Metadata for...
Given the above code, generate some markdown instructions for it.
assistant
#Here is Python program to print whithout going to new line
.

The Generic Problem Class
Remember the Problem Class we coded up for GA workshop. Here we abstract it further such that it can be inherited by all the future classes. Go through these utility functions and classes before you proceed further.