def atest_probabilistic_resampling(self):
self.set_positions_resampling_set()
setNpRandomSeed()
indices = [1,3,0,0,0,0]
solutions = self.resample(indices)
dautils.probabilisticResampling(self.resamplingDrifterSet, self.resamplingVar)
assert2DListAlmostEqual(self, self.resamplingDrifterSet.getDrifterPositions().tolist(), solutions, 2, "probabilistic resampling, probabilistic duplicates")
def atest_probabilistic_resampling(self):
self.set_positions_resampling_set()
setNpRandomSeed()
indices = [1,3,0,0,0,0]
solutions = self.resample(indices)
dautils.probabilisticResampling(self.resamplingDrifterSet, self.resamplingVar)
assert2DListAlmostEqual(self, self.resamplingDrifterSet.getDrifterPositions().tolist(), solutions, 2, "probabilistic resampling, probabilistic duplicates")
def atest_probabilistic_resampling_with_duplicates(self):
self.set_positions_resampling_set()
setNpRandomSeed()
indices = [1, 3, 0, 0, 0, 0]
solutions = self.resample(indices)
dautils.probabilisticResampling(self.resamplingDrifterSet)
self.assertEqual(self.resamplingDrifterSet.getDrifterPositions().tolist(), \
solutions)
def atest_probabilistic_resampling_with_duplicates(self):
self.set_positions_resampling_set()
setNpRandomSeed()
indices = [1,3,0,0,0,0]
solutions = self.resample(indices)
dautils.probabilisticResampling(self.resamplingDrifterSet)
self.assertEqual(self.resamplingDrifterSet.getDrifterPositions().tolist(), \
solutions)
