def test_rcg3(self):
# random numbers for large array
users = 10
subcarriers = 50
subcarriermap = np.around(8*np.random.rand(subcarriers, users)) # rounding makes it readable
target = np.repeat(np.array([subcarriers/users]), users)
outMap, initial = rcg.rcg(subcarriermap, target)
self.assertTrue((np.bincount(np.int32(outMap)) == target).all())
def test_rcg3(self):
# random numbers for large array
users = 10
subcarriers = 50
subcarriermap = np.around(
8 *
np.random.rand(subcarriers, users)) # rounding makes it readable
target = np.repeat(np.array([subcarriers / users]), users)
outMap, initial = rcg.rcg(subcarriermap, target)
self.assertTrue((np.bincount(np.int32(outMap)) == target).all())
def test_rcg2(self):
# example from Kivanc thesis
outMap, initial = rcg.rcg(self.costmap2, self.target2)
self.assertTrue((outMap == self.result2).all())
def test_rcg1(self):
# run the example from the Kivanc paper
outMap, initial = rcg.rcg(self.costmap1, self.target1)
self.assertTrue((outMap == self.result1).all())
def test_rcg2(self):
# example from Kivanc thesis
outMap, initial = rcg.rcg(self.costmap2, self.target2)
self.assertTrue((outMap == self.result2).all())
def test_rcg1(self):
# run the example from the Kivanc paper
outMap, initial = rcg.rcg(self.costmap1, self.target1)
self.assertTrue((outMap == self.result1).all())
