def test_time_classes(inputs, time_ref):
data = write_read_buffer({"root": inputs})
assert np.all(data["root"] == inputs)
if isinstance(inputs, pd.Index) and not inputs.is_monotonic:
# this is not valid for the time class, hence cancel here
return
t1 = Time(inputs, time_ref)
t2 = write_read_buffer({"root": t1})["root"]
assert t1.equals(t2)
def test_convert_util():
"""Test basic conversion functions from/to xarray/pint."""
t = pd.date_range("2020", periods=10, freq="1s")
ts = t[0]
arr = xr.DataArray(
np.arange(10),
dims=["time"],
coords={"time": t - ts},
)
arr.time.weldx.time_ref = ts
time = Time(arr)
assert len(time) == len(t)
assert time.equals(Time(t))
time_q = time.as_quantity()
assert np.all(time_q == Q_(range(10), "s"))
assert time_q.time_ref == ts
arr2 = time.as_data_array()
assert arr.time.identical(arr2.time)