"""returns string representing summary of the factor""return "{self name}({',join(str(varfor var in self variables)}) def to_table(selfvariables=nonegiven={})"""returns string representation of the factor allows for an arbitrary variable ordering variables is list of the variables in the factor (can contain other variables)""if variables==nonevariables [ for in self variables if not in givenelse#enforce ordering and allow for extra variables in ordering variables [ for in variables if in self variables and not in givenhead "\tjoin(str(vfor in variablesreturn head+"\ "+self ass_to_str(variablesgivenvariables def ass_to_str(selfvarsasstallvars)#print( "ass_to_str({vars}{asst}{allvars})"if varsreturn "\njoin(self ass_to_str(vars[ :]{**asstvars[ ]:val}allvarsfor val in vars[ domainelsereturn ("\tjoin(str(asst[var]for var in allvars"\ "+"{ }format(self get_value(asst) __repr__ __str__ conditional probability distributions conditional probability distribution (cpdis type of factor that represents conditional probability cpd representing ( yk is type of factorwhere given values for and each yi returns number probfactors py -(continued class cpd(factor)def __init__(selfchildparents)"""represents (variable parents""self parents parents self child child factor __init__(selfparents+[child] def __str__(self)""" brief description of factor using in tracing""if self parentsreturn " ({self child}|{',join(str(pfor in self parents)})version june