#!/usr/bin/env python
'''
pyOpt_objective

Holds the Python Design Optimization Classes (base and inherited).

Copyright (c) 2008-2014 by pyOpt Developers
All rights reserved.
Revision: 1.1   $Date: 08/05/2008 21:00$


Developers:
-----------
- Dr. Ruben E. Perez (RP)
- Mr. Peter W. Jansen (PJ)

History
-------
    v. 1.0  - Initial Class Creation (RP, 2008)
    v. 1.1  - Pretty Print of Optimization Problems (PJ, 2008)
'''

__version__ = '$Revision: $'

'''
To Do:
    - add maximize / minimize attribute
'''

# =============================================================================
# Standard Python modules
# =============================================================================
import os, sys
import pdb

# =============================================================================
# External Python modules
# =============================================================================
#import external

# =============================================================================
# Extension modules
# =============================================================================
#import extension

# =============================================================================
# Misc Definitions
# =============================================================================
inf = 10.E+20  # define a value for infinity


# =============================================================================
# Objective Class
# =============================================================================
class Objective(object):
    
    '''
    Optimization Objective Class
    '''
    
    def __init__(self, name, value=0.0, optimum=0.0):
        
        '''
        Objective Class Initialization
        
        **Arguments:**
        
        - name -> STR: Objective Group Name
        
        **Keyword arguments:**
        
        - value-> FLOAT: Initial objective value, *Default* = 0.0
        - optimum-> FLOAT: Optimum objective value, *Default* = 0.0
        
        Documentation last updated:  Feb. 07, 2011 - Peter W. Jansen
        '''
        
        # 
        self.name = name
        self.value = value
        self.optimum = optimum
        
        #if (kwargs['nvars']):
        #	self.sensitivity = numpy.zeros(kwargs['nvars'],float)
        ##end
        
        
    def ListAttributes(self):
        
        '''
        Print Structured Attributes List
        
        Documentation last updated:  March. 10, 2008 - Ruben E. Perez
        '''
        
        ListAttributes(self)
        
        
    def __str__(self):
        
        '''
        Structured Print of Objective
        
        Documentation last updated:  April. 30, 2008 - Peter W. Jansen
        '''
        
        return ( '        Name        Value        Optimum\n'+'	 '+str(self.name).center(9) +'%12g  %12g\n' %(self.value,self.optimum))
    


#==============================================================================
# 
#==============================================================================
def ListAttributes(self):
        
        '''
        Print Structured Attributes List
        
        Documentation last updated:  March. 24, 2008 - Ruben E. Perez
        '''
        
        print '\n'
        print 'Attributes List of: ' + repr(self.__dict__['name']) + ' - ' + self.__class__.__name__ + ' Instance\n'
        self_keys = self.__dict__.keys()
        self_keys.sort()
        for key in self_keys:
            if key != 'name':
                print str(key) + ' : ' + repr(self.__dict__[key])
            #end
        #end
        print '\n'
    


#==============================================================================
# Objective Test
#==============================================================================
if __name__ == '__main__':
    
    print 'Testing ...'
    
    # Test Ojective
    obj = Objective('f')
    obj.ListAttributes()