def task2a():
DataHandler.vectors()
DataHandler.createDictionaries1()
actor_actor_sim_df, actorList = DataHandler.actor_actor_similarity_matrix()
u, sigma, vt = decompositions.SVDDecomposition(actor_actor_sim_df, 3)
semantics = np.matrix(vt).tolist()
actorIdActorsDf = DataHandler.actor_info_df
actorsInDf = list(actor_actor_sim_df.index)
print("Top 3 semantics are:")
for semantic in semantics:
prettyPrintActorVector(semantic, actorsInDf, actorIdActorsDf)
print("")
split_group_with_index = formatter.splitGroup(u, 3)
print("The three groupings are:")
groups = tasksBusiness.get_partition_on_ids(split_group_with_index,
actorIdActorsDf['name'])
for x, v in groups.items():
print('Group ' + str(x + 1) + ' : ' + str(v))
print(" ")
