def random_match(idx_hhs, idx_blds):
resunits = np.array([np.maximum(np.ones(idx_blds.size),(building_set['residential_units'][idx_blds])),]*idx_hhs.size)
row_sums = resunits.sum(axis=1)
probabilities = (resunits) / (np.array([(row_sums),]*idx_blds.size).transpose())
choices = random_choices().run(probabilities)
counter = 0
for choice in choices:
household_set['building_id'][idx_hhs[counter]] = building_set['building_id'][idx_blds[choice]]
counter += 1
def random_match(idx_estabs, idx_blds):
units = np.array([np.maximum(np.ones(idx_blds.size),(building_set['non_residential_sqft'][idx_blds])),]*idx_estabs.size)
row_sums = units.sum(axis=1)
probabilities = (units) / (np.array([(row_sums),]*idx_blds.size).transpose())
choices = random_choices().run(probabilities)
counter = 0
for choice in choices:
establishment_set['building_id'][idx_estabs[counter]] = building_set['building_id'][idx_blds[choice]]
counter += 1
