def test_aa_t():
h = fl.aa(0.8)
assert 1 == h([1.0, 1.0, 1.0, 1.0])
assert 0 == h([0.0, 0.0, 0.0, 0.0])
# 0.2, 0.6, 0.7, 0.9
# p = 0.8
# a = p / (1.0 - p)
# a = 4
# 1.0 - ((((1.0-0.2)**(1.0/a)) + ((1.0-0.6)**(1.0/a)) + ((1.0-0.7)**(1.0/a)) + ((1.0-0.9)**(1.0/a))) / 4.0)**a
# = 0.6649
diff = 0.6649 - h([0.2, 0.6, 0.7, 0.9])
assert diff < 0.0001
def test_aa_tco():
h = fl.aa(0.2)
assert 1 == h([1.0, 1.0, 1.0, 1.0])
assert 0 == h([0.0, 0.0, 0.0, 0.0])
# 0.2, 0.6, 0.7, 0.9
# p = 0.2
# a = (1.0 - p) / p
# a = 4
# (((0.2**a) + (0.6**a) + (0.7**a) + (0.9**a)) / 4.0)**(1.0/a)
# = 0.7119
diff = 0.7119 - h([0.2, 0.6, 0.7, 0.9])
assert diff < 0.0001
def test_aa_t():
h = fl.aa(0.8)
assert 1 == h([1.0, 1.0, 1.0, 1.0])
assert 0 == h([0.0, 0.0, 0.0, 0.0])
# 0.2, 0.6, 0.7, 0.9
# p = 0.8
# a = p / (1.0 - p)
# a = 4
# 1.0 - ((((1.0-0.2)**(1.0/a)) + ((1.0-0.6)**(1.0/a)) + ((1.0-0.7)**(1.0/a)) + ((1.0-0.9)**(1.0/a))) / 4.0)**a
# = 0.6649
diff = 0.6649 - h([0.2, 0.6, 0.7, 0.9])
assert diff < 0.0001
def test_aa_tco():
h = fl.aa(0.2)
assert 1 == h([1.0, 1.0, 1.0, 1.0])
assert 0 == h([0.0, 0.0, 0.0, 0.0])
# 0.2, 0.6, 0.7, 0.9
# p = 0.2
# a = (1.0 - p) / p
# a = 4
# (((0.2**a) + (0.6**a) + (0.7**a) + (0.9**a)) / 4.0)**(1.0/a)
# = 0.7119
diff = 0.7119 - h([0.2, 0.6, 0.7, 0.9])
assert diff < 0.0001
def build_aiwa_operator(andness, m):
return fl.aa(andness)
def test_aa_wrapper():
sut = fl.aa(0.00000001)
assert isinstance(sut, fl.AndnessDirectedAveraging)
def build_aiwa_operator(andness, m):
return fl.aa(andness)
