def test_singleAggregators(self):
_, fd1 = OverwriteFunctions.from_xaxis_dict({
"A": [(1, 1), (2, 2), (3, 3)],
"B": [(3, 3), (4, 4), (5, 5)],
"C": [(7, 7), (8, 8)],
"D": [(14, 14)]
}).alter_curves(None)
_, fd2 = OverwriteFunctions.from_xaxis_dict({
"A": [(10, 10), (20, 20), (30, 30)],
"B": [(6, 6), (7, 7), (8, 8)],
"C": [(10, 10), (11, 11)]
}).alter_curves(None)
aggregator = aggregators.SingleAggregator()
fdtotal = aggregator.with_pandas([fd1, fd2])
CheckFunctions.from_xaxis_dict({
"A": [(1, 1), (2, 2), (3, 3), (10, 10), (20, 20), (30, 30)],
"B": [(3, 3), (
4,
4,
), (5, 5), (6, 6), (7, 7), (8, 8)],
"C": [(7, 7), (8, 8), (10, 10), (11, 11)],
"D": [(14, 14)],
}).alter_curves(fdtotal)
def singleAggregatorsDuplicated(self):
_, fd1 = OverwriteFunctions.from_xaxis_dict({
"A": [(1, 1), (2, 2), (3, 3)],
"B": [(3, 3), (4, 4), (5, 5)],
"C": [(7, 7), (8, 8)],
"D": [(14, 14)]
}).alter_curves(None)
_, fd2 = OverwriteFunctions.from_xaxis_dict({
"A": [(10, 10), (20, 20), (30, 30)],
"B": [(6, 6), (7, 7), (8, 8)],
"C": [(10, 10), (7, 7)] # dupliacted entry
}).alter_curves(None)
aggregator = aggregators.SingleAggregator()
with self.assertRaises(ValueError) as context:
fdtotal = aggregator.with_pandas([fd1, fd2])