Removing failing test_timestamps test

Originally introduced in 8639e1d . I'm not entirely sure what it does, but I think this will be handled by the xarray data model.

Author: VeckoTheGecko

tests/test_fieldset.py

@@ -346,38 +346,6 @@ def SampleUV2(particle, fieldset, time):  # pragma: no cover
     assert abs(pset.lat[0] - 0.5) < 1e-9
 
 
-@pytest.mark.v4remove
-@pytest.mark.xfail(reason="GH1918")
-@pytest.mark.parametrize("datetype", ["float", "datetime64"])
-def test_timestamps(datetype, tmpdir):
-    data1, dims1 = generate_fieldset_data(10, 10, 1, 10)
-    data2, dims2 = generate_fieldset_data(10, 10, 1, 4)
-    if datetype == "float":
-        dims1["time"] = np.arange(0, 10, 1) * 86400
-        dims2["time"] = np.arange(10, 14, 1) * 86400
-    else:
-        dims1["time"] = np.arange("2005-02-01", "2005-02-11", dtype="datetime64[D]")
-        dims2["time"] = np.arange("2005-02-11", "2005-02-15", dtype="datetime64[D]")
-
-    fieldset1 = FieldSet.from_data(data1, dims1)  # TODO : Remove from_data
-    fieldset1.U.data[0, :, :] = 2.0
-    fieldset1.write(tmpdir.join("file1"))
-
-    fieldset2 = FieldSet.from_data(data2, dims2)  # TODO : Remove from_data
-    fieldset2.U.data[0, :, :] = 0.0
-    fieldset2.write(tmpdir.join("file2"))
-
-    fieldset3 = FieldSet.from_parcels(tmpdir.join("file*"))
-    timestamps = [dims1["time"], dims2["time"]]
-    fieldset4 = FieldSet.from_parcels(tmpdir.join("file*"), timestamps=timestamps)
-    assert np.allclose(fieldset3.U.grid.time_full, fieldset4.U.grid.time_full)
-
-    for d in [0, 8, 10, 12]:
-        fieldset3.computeTimeChunk(d * 86400.0, 1.0)
-        fieldset4.computeTimeChunk(d * 86400.0, 1.0)
-        assert np.allclose(fieldset3.U.data, fieldset4.U.data)
-
-
 @pytest.mark.v4remove
 @pytest.mark.xfail(reason="time_periodic removed in v4")
 @pytest.mark.parametrize("use_xarray", [True, False])