48 lines
2.1 KiB
Python
48 lines
2.1 KiB
Python
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# Title: Project 1 - Network Coverage
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# Author: Rory Healy
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# Date created - 18th April 2019
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def besties_coverage(individuals, bestie_dict, relationship_list):
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'''Takes a list of people "individuals", stored as strings in a list, a
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dictionary of sets of friends "bestie_dict", and a list of functions that
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define relationships in the social network, selected from friend_besties
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and friend_second_besties. Returns a float that corresponds to the
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proportion of individuals who are either a member of individuals or are
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connected via a relationship stated in relationship_list.'''
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# Calculate the total number of people in the network to calculate the
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# proportion.
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list_of_people = []
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for item in list(bestie_dict.items()):
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if item[0] not in list_of_people:
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list_of_people.append(item[0])
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number_of_people = len(list_of_people)
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# Calculates number of people in 'individuals' to calculate the proportion.
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number_of_individuals = len(individuals)
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# Calculates number of relationships the individual has to calculate the
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# proportion.
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for i in range(len(individuals)):
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number_of_besties = len(friend_besties(individuals[i],
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bestie_dict))
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number_of_second_besties = len(friend_second_besties(individuals[i],
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bestie_dict))
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number_of_relationships = 0
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if len(relationship_list) == 0:
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number_of_relationships = 0
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else:
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for relationship_type in relationship_list:
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if str(relationship_type) == str(friend_besties):
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number_of_relationships += number_of_besties
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elif str(relationship_type) == str(friend_second_besties):
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number_of_relationships += number_of_second_besties
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# Returns the proportion as defined in the docstring.
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number_of_connections = number_of_relationships + number_of_individuals
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coverage_proportion = number_of_connections / number_of_people
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return coverage_proportion
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