cleanup after io test.

doc/dataformat.rst

@@ -7,7 +7,7 @@ The `Observation` class
 
 |Codename| expects the data in the form of list of ``Observations``, preferably
 returned by :py:meth:`build_obs` (see below). Each Observation instance
-corresponds to single dataset, and is basically a namespace that also supports
+corresponds to a single dataset, and is basically a namespace that also supports
 dict-like accessing of important attributes.  In addition to holding data and
 uncertainties thereon, they tell prospector what data to predict, contain
 dataset-specific information for how to predict that data, and can even store
@@ -58,7 +58,8 @@ models, jitter terms, or covariant noise.
 
 - ``name``
   A string that can be used to identify the dataset.  This can be useful for
-  dataset-specfic parameters.
+  dataset-specfic parameters.  By default the name is constructed from the
+  `kind` and the memory location of the object.
 
 - ``resolution``
    For a `Spectrum` this defines the instrumental resolution.  Analagously to

prospect/models/sedmodel.py

@@ -682,6 +682,9 @@ def add_dla(self, wave_rest, spec):
         spec *= np.exp(-tau)
         return spec
 
+    def add_damping_wing(self, wave_rest, spec):
+        pass
+
     def observed_wave(self, wave, do_wavecal=False):
         """Convert the restframe wavelngth grid to the observed frame wavelength
         grid, optionally including wavelength calibration adjustments.  Requires

tests/test_io.py

@@ -54,8 +54,14 @@ def test_observation_io(build_sps, plot=False):
     obslist = build_obs(multispec=True)
     model = build_model(add_neb=True)
 
+    fn = "./test.h5"
     # obs writing
-    with h5py.File("test.h5", "w") as hf:
+    with h5py.File(fn, "w") as hf:
         write_obs_to_h5(hf, obslist)
-    with h5py.File("test.h5", "r") as hf:
+    # obs reading
+    with h5py.File(fn, "r") as hf:
         obsr = obs_from_h5(hf["observations"])
+
+    # cleanup?
+    import os
+    os.remove(fn)