def test_image_maxmin_8(self): # first output validation of function
A = {1: 0.1, 2: 0.2, 3: 1.0}
R = {
(1, 1): 0.3,
(1, 2): 0.7,
(2, 1): 0,
(2, 2): 0.8,
(3, 1): 1.0,
(3, 2): 0.4
}
self.assertEqual(image_maxmin.image_maxmin(R, A), {1: 1.0, 2: 0.4})
def test_image_maxmin_3(
self
): # validation of A and R's first dimension both being the subset of X
A = {"y1": 1.0, "y2": 0.7, "y3": 0.4} #A is subset of Y
R = {
"u1,x1": 0.2,
"u1,x2": 1.0,
"u2,x1": 0.8,
"u2,x2": 0.4,
"u3,x1": 0.6,
"u3,x2": 0.3
} #R is from the space of U*X
#but R should be from the space of Y*X or A should be subset of U
self.assertRaises(TypeError, lambda: image_maxmin.image_maxmin(R, A))
def test_image_maxmin_9(self): # second output validation of function
A = {"x1": 0.4, "x2": 0.6}
R = {
"x1,y1": 0.1,
"x1,y2": 0.7,
"x1,y3": 0.8,
"x2,y1": 0.1,
"x2,y2": 1.0,
"x2,y3": 0.2
}
self.assertEqual(image_maxmin.image_maxmin(R, A), {
"y1": 0.1,
"y2": 0.6,
"y3": 0.4
})
def test_image_maxmin_1(
self): # validation of the type of A as a dictionary
A = bool('true')
R = {(1, 1): 0.6, (1, 2): 0.2, (2, 1): 0.7, (2, 2): 0.8}
self.assertRaises(TypeError, lambda: image_maxmin.image_maxmin(R, A))
def test_image_maxmin_7(self): # validation of each R's item being float
A = {"x1": 0.2, "x2": 0.4, "x3": 0.9}
R = {"x1,y1": 1.0, "x2,y1": "unknownVal", "x3,y1": 0.2}
self.assertRaises(TypeError, lambda: image_maxmin.image_maxmin(R, A))
def test_image_maxmin_6(self): # validation of each A's item being float
A = {"x1": 0.4, "x2": "u2"}
R = {"x1,y1": 0.3, "x2,y1": 0.5}
self.assertRaises(TypeError, lambda: image_maxmin.image_maxmin(R, A))
def test_image_maxmin_5(
self): # validation of each R's item being in the range of [0,1]
A = {"a": 1.0, "b": 0.4}
R = {"a,y1": 1.0, "a,y2": 0.4, "b,y1": 0.6, "b,y2": 4.0}
self.assertRaises(TypeError, lambda: image_maxmin.image_maxmin(R, A))
def test_image_maxmin_4(
self): # validation of each A's items being in the range of [0,1]
A = {"u1": 0.7, "u2": 0.5, "u3": 6.0}
R = {"u1,y1": 1.0, "u2,y1": 0.2, "u3,y1": 0.9}
self.assertRaises(TypeError, lambda: image_maxmin.image_maxmin(R, A))
def test_image_maxmin_2(
self): # validation of the type of R as a dictionary
A = {"x1": 0.3, "x2": 0.6}
R = {1, 3, 5, 2}
self.assertRaises(TypeError, lambda: image_maxmin.image_maxmin(R, A))