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 test_QuantizeXAxis_03(self):
"""
functions not defined everywhere
:return:
"""
_, fd = OverwriteFunctions.from_dict(
xaxis=[1, 2, 3, 4, 5, 6],
functions={
"A": [10, np.nan, 15, 10, 15, 15],
"B": [20, 30, np.nan, np.nan, 30, 30],
"C": [40, 50, 50, 40, np.nan, 50]
}).alter_curves(None)
_, fd = QuantizeXAxis(
quantization_levels=[0, 2, 4, 6],
slot_value=UpperBoundSlotValueFetcher(),
merge_method=MeanAggregator(),
).alter_curves(fd)
CheckFunctions.from_dict(xaxis=[2, 4, 6],
functions={
"A": [10, 12.5, 15],
"B": [25, np.nan, 30],
"C": [45, 45, 50]
})
def test_CheckNoInvalidNumbers_01(self):
_, fd = OverwriteFunctions.from_dict(xaxis=[1, 2, 3],
functions={
"A": [3, 4, 5],
"B": [6, 7, 8],
"C": [9, 10, 11]
}).alter_curves(None)
CheckNoInvalidNumbers().alter_curves(fd)
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])
def test_CheckNoInvalidNumbers_07(self):
_, fd = OverwriteFunctions.from_dict(xaxis=[1, 2, 3, 4, 5],
functions={
"A": [3, 4, 5, 6, 7],
"B": [6, 7, 8, 9, 10],
"C": [9, 10, 11, 12, np.nan]
}).alter_curves(None)
with self.assertRaises(ValueError) as context:
CheckNoInvalidNumbers().alter_curves(fd)
self.assertTrue(
'a cell in curves is either NaN, +infinite or -infinite!' in
context.exception.args)