def test_incomplete_housing_missing_comparisons():
m = {('a', 'b'): 5, ('a', 'c'): 3, ('a', 'd'): 7, ('a', 'e'): 6, ('a', 'f'): 6,
('b', 'd'): 5, ('b', 'f'): 3,
('c', 'e'): 3, ('c', 'g'): 6,
('f', 'd'): 4,
('g', 'a'): 3, ('g', 'e'): 5,
('h', 'a'): 4, ('h', 'b'): 7, ('h', 'd'): 8, ('h', 'f'): 6}
cm = ahpy.Compare('Incomplete Housing', m)
assert (cm._missing_comparisons ==
pytest.approx({('b', 'c'): 0.3300187496240363, ('b', 'e'): 1.7197409185349517,
('b', 'g'): 0.4663515002203321, ('c', 'd'): 9.920512661898753,
('c', 'f'): 4.852486449214693, ('c', 'h'): 0.5696073301509899,
('d', 'e'): 0.5252768142894285, ('d', 'g'): 0.1424438146531802,
('e', 'f'): 0.9311973564754218, ('e', 'h'): 0.10930828182051665,
('f', 'g'): 0.2912120796181874, ('g', 'h'): 0.4030898885178746}))
def test_cities_weights_saaty_precision_3():
cu = ahpy.Compare('Culture', culture, precision=3, random_index='Saaty')
f = ahpy.Compare('Family', family, precision=3, random_index='Saaty')
h = ahpy.Compare('Housing', housing, precision=3, random_index='Saaty')
j = ahpy.Compare('Jobs', jobs, precision=3, random_index='Saaty')
t = ahpy.Compare('Transportation', transportation, precision=3, random_index='Saaty')
cr = ahpy.Compare('Goal', criteria, precision=3, random_index='Saaty')
cr.add_children([cu, f, h, j, t])
assert cr.target_weights == {'Bethesda': 0.229, 'Boston': 0.275, 'Pittsburgh': 0.385, 'Santa Fe': 0.111}
def test_cities_target_weights():
cu = ahpy.Compare('Culture', culture, precision=4)
f = ahpy.Compare('Family', family, precision=4)
h = ahpy.Compare('Housing', housing, precision=4)
j = ahpy.Compare('Jobs', jobs, precision=4)
t = ahpy.Compare('Transportation', transportation, precision=4)
cr = ahpy.Compare('Goal', criteria, precision=4)
cr.add_children([cu, f, h, j, t])
assert t.target_weights is None
def test_cities_weights_dd_precision_4():
cu = ahpy.Compare('Culture', culture, precision=4)
f = ahpy.Compare('Family', family, precision=4)
h = ahpy.Compare('Housing', housing, precision=4)
j = ahpy.Compare('Jobs', jobs, precision=4)
t = ahpy.Compare('Transportation', transportation, precision=4)
cr = ahpy.Compare('Goal', criteria, precision=4)
cr.add_children([cu, f, h, j, t])
assert cr.target_weights == {'Bethesda': 0.2291, 'Boston': 0.2748, 'Pittsburgh': 0.3852, 'Santa Fe': 0.1110}
def test_drinks_weights_precision_4_dd():
c = ahpy.Compare('Drinks', drinks, precision=4, random_index='dd')
assert c.local_weights == {'beer': 0.1164, 'coffee': 0.1775, 'milk': 0.1288, 'soda': 0.1896,
'tea': 0.0418, 'water': 0.3268, 'wine': 0.0191}
def test_drinks_weights_precision_3_saaty():
c = ahpy.Compare('Drinks', drinks, precision=3, random_index='saaty')
assert c.local_weights == {'beer': 0.116, 'coffee': 0.177, 'milk': 0.129, 'soda': 0.190,
'tea': 0.042, 'water': 0.327, 'wine': 0.019}
def test_drinks_cr_dd():
c = ahpy.Compare('Drinks', drinks, precision=4, random_index='dd')
assert c.consistency_ratio == 0.0235
def test_drinks_cr_saaty():
c = ahpy.Compare('Drinks', drinks, precision=3, random_index='saaty')
assert c.consistency_ratio == 0.022
def test_size_limit_normalize_saaty():
y = dict.fromkeys([i[0] for i in itertools.combinations(alphabet, 1)], 1)
cy = ahpy.Compare('CR Test', y, random_index='saaty')
assert cy.local_weights == values
def test_size_limit_saaty():
with pytest.raises(ValueError):
x = dict.fromkeys(itertools.permutations(alphabet, 2), 1)
ahpy.Compare('CR Test', x, random_index='saaty')
def test_normalized_weights():
fuel = {'civic': 34, 'saturn': 27, 'escort': 24, 'clio': 28}
cf = ahpy.Compare('Fuel Economy', fuel)
assert cf.local_weights == {'civic': 0.3009, 'saturn': 0.2389, 'escort': 0.2124, 'clio': 0.2478}
def test_incomplete_example_cr():
cu = ahpy.Compare('Incomplete Example', u)
assert cu.consistency_ratio == 0.0372
def test_incomplete_example_weights():
cu = ahpy.Compare('Incomplete Example', u)
assert cu.local_weights == {'a': 0.3738, 'b': 0.392, 'c': 0.0985, 'd': 0.1357}
def test_incomplete_example_missing_comparisons():
cu = ahpy.Compare('Incomplete Example', u)
assert cu._missing_comparisons == pytest.approx({('c', 'd'): 0.730297106886979})
def test_size_limit_override_saaty():
x = dict.fromkeys(itertools.permutations(alphabet, 2), 1)
cx = ahpy.Compare('CR Test', x, random_index='saaty', cr=False)
assert cx.local_weights == values
with open('ffp.csv') as csv_file:
reader = csv.DictReader(csv_file)
for row in reader:
labels.append(row['SITE_ID'])
wbid += '{};'.format(row['WBID'])
ag += '{};'.format(row['AGRICULTURE'])
bio += '{};'.format(row['BIODIVERSITY'])
# Remove trailing semicolon from matrices
wbid_m = wbid.rstrip(';')
ag_m = ag.rstrip(';')
bio_m = bio.rstrip(';')
# Create Compare objects
wbid = ahpy.Compare('wbid', wbid_m, labels, comp_type='quant')
ag = ahpy.Compare('ag', ag_m, labels, comp_type='quant')
bio = ahpy.Compare('bio', bio_m, labels, comp_type='quant')
# Build all possible criteria combinations
combo_list = [str(i) for i in xrange(1, 10)]
combo_list += ['1/{}'.format(i) for i in xrange(1, 10) if i > 1]
matrix_list = []
for i in itertools.product(combo_list, repeat=2):
for j in combo_list:
matrix_list.append('{} {}; {}'.format(i[0], i[1], j))
# Connect to MongoDB
client = MongoClient()
db = client.ffp
def test_size_limit_normalize_saaty():
y = dict.fromkeys([i[0] for i in itertools.combinations(alphabet, 1)], 1)
cy = ahpy.Compare('CR Test', y, random_index='saaty')
assert cy.local_weights == values
a_m = {('b', 'c'): 1}
b_m = {('d', 'e'): 4}
d_m = {('f', 'g'): 2}
c_m = {'x': 2, 'y': 4, 'z': 4}
e_m = {'x': 1, 'y': 2, 'z': 3}
f_m = {'x': 2, 'y': 4, 'z': 4}
g_m = {'x': 1, 'y': 2, 'z': 3}
a = ahpy.Compare('a', a_m)
b = ahpy.Compare('b', b_m)
c = ahpy.Compare('c', c_m)
d = ahpy.Compare('d', d_m)
e = ahpy.Compare('e', e_m)
f = ahpy.Compare('f', f_m)
g = ahpy.Compare('g', g_m)
a.add_children([b, c])
b.add_children([d, e])
d.add_children([f, g])
def test_master_a():
assert a.report(verbose=True) == {'name': 'a', 'global_weight': 1.0, 'local_weight': 1.0,
'target_weights': {'z': 0.4233, 'y': 0.3844, 'x': 0.1922},
