| from visma.io.tokenize import tokenizer | |
| def simpleProbability(sampleSpace, requiredEvent=None): | |
| """Implements simple probability | |
| Arguments: | |
| sampleSpace -- {visma.discreteMaths.statistics.ArithemeticMean} | |
| requiredEvent -- {Event whose probability is to be calculated} | |
| Returns: | |
| token_string {string} -- final result stored in a string | |
| animation {list} -- list of equation solving process | |
| comments {list} -- list of comments in equation solving process | |
| """ | |
| animations = [] | |
| comments = [] | |
| events = [] | |
| token_string = '' | |
| if sampleSpace.values is not []: | |
| events.extend(sampleSpace.values) | |
| totalOccurances = len(events) | |
| animations += [[]] | |
| comments += [['The total occurances are ' + str(totalOccurances)]] | |
| requiredOccurances = events.count(requiredEvent) | |
| animations += [[]] | |
| comments += [['The occurances of required event are ' + str(requiredOccurances)]] | |
| probability = requiredOccurances/totalOccurances | |
| comments += [['Hence, Required probability is: ']] | |
| animations += [tokenizer('P = ' + str(probability))] | |
| token_string = 'P = ' + str(probability) | |
| return token_string, animations, comments | |
| else: | |
| return '', [], [] | |