def test_rate_of_change(self):
times = self.times
arr = [
2, 10, 2.1, 3, 4, 5, 7, 10, 0, 2, 2.2, 2, 1, 2, 3, 90, 91, 92, 93,
1, 2, 3, 4, 5
]
expected = [
1, 3, 3, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 3, 1, 1,
1, 1
]
inputs = [
arr,
np.asarray(arr, dtype=np.floating),
dask_arr(np.asarray(arr, dtype=np.floating))
]
for i in inputs:
result = qartod.rate_of_change_test(inp=i,
tinp=times,
threshold=self.threshold)
npt.assert_array_equal(expected, result)
# test epoch secs - should return same result
npt.assert_array_equal(
qartod.rate_of_change_test(inp=i,
tinp=self.times_epoch_secs,
threshold=self.threshold), expected)
def test_rate_of_change_negative_values(self):
times = self.times[0:4]
arr = [-2, -10, -2, -3]
expected = [1, 3, 3, 1]
result = qartod.rate_of_change_test(inp=arr,
tinp=times,
threshold=self.threshold)
npt.assert_array_equal(expected, result)
def test_rate_of_change_missing_values(self):
times = self.times[0:8]
arr = [2, 10, 2, 3, None, None, 7, 10]
expected = [1, 3, 3, 1, 9, 9, 1, 1]
result = qartod.rate_of_change_test(inp=arr,
tinp=times,
threshold=self.threshold)
npt.assert_array_equal(expected, result)