def setUp(self):
# sheet to test. As it is, its activity matrix dimension is (3,2)
Sheet.nominal_density = 1
Sheet.nominal_bounds = BoundingBox(points=((-1, -2), (1, 1)))
test_sheet = Sheet()
# simple activity arrays use to update the feature maps
self.a1 = array([[1, 1], [1, 1], [1, 1]])
self.a2 = array([[3, 3], [3, 3], [3, 3]])
self.a3 = array([[0, 1], [0, 1], [0, 1]])
# object to test for non-cyclic distributions
self.fm1 = DistributionMatrix(test_sheet.shape,
axis_range=(0.0, 1.0),
cyclic=False)
self.fm1.update(self.a1, 0.5)
# object to for cyclic distributions
self.fm2 = DistributionMatrix(test_sheet.shape,
axis_range=(0.0, 1.0),
cyclic=True)
self.fm2.update(self.a1, 0.5)
def setUp(self):
self.s = Simulation()
self.sheet1 = Sheet()
self.sheet2 = Sheet()
def setUp(self):
self.s = Sheet()
self.s.activity = Numeric.array([[1, 2], [3, 4]])
self.s2 = Sheet()
self.s2.activity = Numeric.array([[4, 3], [2, 1]])