catered for parent(s)' identity to be recorded in offspring(s)' statu…

…s as status['parents']

dose/database_calls.py

@@ -355,6 +355,10 @@ def db_reconstruct_organisms(cur, start_time, population_name, generation):
                 exec("org.status['alive'] = %s" % str(value))
             elif key == 'vitality':
                 org.status['vitality'] = float(value)
+            elif key == 'parents':
+                if value == '': value = '[]'
+                else: value = value.split('|')
+                exec("org.status['parents'] = %s" % str(value))
             elif key == 'age':
                 org.status['age'] = float(value)
             elif key == 'gender':

dose/dose.py

@@ -89,6 +89,9 @@ def mating(self, Populations, pop_name):
             - to manage mating scheme and progeny (offspring) generation 
             for the entire population
             - add or replace offsprings into the respective population(s)
+            - (optional) store identity of parent(s) as list; for example, 
+            [parentA identity, parentB identity], in offspring's 
+            status['parents'] for ancestral tracing.
         
         @param Populations: A dictionary containing one or more populations 
         where the value is a genetic.Population object.
@@ -375,7 +378,7 @@ def database_report_populations(con, cur, start_time,
             # log each item in Organism.status dictionary
             for key in [key for key in org.status.keys()
                                if key != 'identity']:
-                if key in ('blood', 'location'):
+                if key in ('blood', 'location', 'parents'):
                     try:
                         # TypeError will occur when genome/chromosomes are 
                         # not interpreted

dose/genetic.py

@@ -228,6 +228,7 @@ def __init__(self, genome='dummy', mutation_type='point',
         """
         self.status = {'alive': True,            # is the organism alive?
                        'vitality': 100.0,        # % of vitality
+                       'parents': None,          # identity of parent(s)
                        'age': 0.0,               # age of the organism
                        'gender': None,           # gender of organism
                        'lifespan': 100.0,        # maximum lifespan