TST: addressing more review comments

astroquery/desi/core.py

@@ -18,18 +18,18 @@
 
 class DESILegacySurveyClass(BaseQuery):
 
-    def query_region(self, coordinates, radius=0.5*u.arcmin, *, data_release=9):
+    def query_region(self, coordinates, *, width=0.5*u.arcmin, data_release=9):
         """
         Queries a region around the specified coordinates.
 
         Parameters
         ----------
         coordinates : `~astropy.coordinates.SkyCoord`
             coordinates around which to query.
-        radius : `~astropy.units.Quantity`, optional
-            the radius of the region. If missing, set to default
+        width : `~astropy.units.Quantity`, optional
+            the width of the region. If missing, set to default
             value of 0.5 arcmin.
-        data_release: int
+        data_release : int
             the data release of the LegacySurvey to use.
 
         Returns
@@ -41,9 +41,9 @@ def query_region(self, coordinates, radius=0.5*u.arcmin, *, data_release=9):
         coordinates_transformed = coordinates.transform_to(coord.ICRS)
 
         qstr = (f"SELECT all * FROM ls_dr{data_release}.tractor WHERE "
-                f"dec<{(coordinates_transformed.dec + radius).to_value(u.deg)} and "
-                f"ra>{coordinates_transformed.ra.to_value(u.deg) - radius.to_value(u.deg) / np.cos(coordinates_transformed.dec)} and "
-                f"ra<{coordinates_transformed.ra.to_value(u.deg) + radius.to_value(u.deg) / np.cos(coordinates_transformed.dec)}")
+                f"dec<{(coordinates_transformed.dec + width).to_value(u.deg)} and "
+                f"ra>{coordinates_transformed.ra.to_value(u.deg) - width.to_value(u.deg) / np.cos(coordinates_transformed.dec)} and "
+                f"ra<{coordinates_transformed.ra.to_value(u.deg) + width.to_value(u.deg) / np.cos(coordinates_transformed.dec)}")
 
         tap_result = tap_service.run_sync(qstr)
         tap_result = tap_result.to_table()
@@ -53,32 +53,32 @@ def query_region(self, coordinates, radius=0.5*u.arcmin, *, data_release=9):
 
         return filtered_table
 
-    def get_images(self, position, pixels=None, radius=0.5*u.arcmin, *, data_release=9, show_progress=True, image_band='g'):
+    def get_images(self, position, *, pixels=None, width=0.5*u.arcmin, data_release=9, show_progress=True, image_band='g'):
         """
         Downloads the images for a certain region of interest.
 
         Parameters
-        -------
-        position: `astropy.coordinates`.
+        ----------
+        position : `astropy.coordinates`.
             coordinates around which we define our region of interest.
-        radius: `~astropy.units.Quantity`,  optional
-            the radius of our region of interest.
-        data_release: int, optional
+        width : `~astropy.units.Quantity`,  optional
+            the width of our region of interest.
+        data_release : int, optional
             the data release of the LegacySurvey to use.
-        show_progress: bool, optional
+        show_progress : bool, optional
             Whether to display a progress bar if the file is downloaded
             from a remote server.  Default is True.
-        image_band: str, optional
+        image_band : str, optional
             Default to 'g'
 
         Returns
         -------
-        list: A list of `~astropy.io.fits.HDUList` objects.
+        list : A list of `~astropy.io.fits.HDUList` objects.
         """
 
         position_transformed = position.transform_to(coord.ICRS)
 
-        image_size_arcsec = radius.arcsec
+        image_size_arcsec = width.arcsec
         pixsize = 2 * image_size_arcsec / pixels
 
         image_url = (f"{conf.legacysurvey_service_url}?"

astroquery/desi/tests/test_desi.py

@@ -21,7 +21,7 @@
 }
 
 coords = coord.SkyCoord('11h04m27s +38d12m32s', frame='icrs')
-radius = coord.Angle(0.5, unit='arcmin')
+width = coord.Angle(0.5, unit='arcmin')
 pixels = 60
 data_release = 9
 emispheres_list = ['north', 'south']
@@ -101,15 +101,15 @@ def image_tester(images, filetype):
         assert np.array_equal(images[0][0].data, data[0].data)
 
 
-def test_coords_query_region(patch_tap, coords=coords, radius=radius):
-    result = desi.DESILegacySurvey.query_region(coords, radius)
+def test_coords_query_region(patch_tap):
+    result = desi.DESILegacySurvey.query_region(coords, width=width)
     data = Table.read(data_path(DATA_FILES['dummy_tap_table']),
                       format='ascii.csv', comment='#')
     data['objid'] = data['objid'].astype(np.int64)
     compare_result_data(result, data)
 
 
 def test_coords_get_images(patch_get_readable_fileobj, dr=data_release):
-    images_list = desi.DESILegacySurvey.get_images(coords, data_release=dr, radius=radius, pixels=pixels)
+    images_list = desi.DESILegacySurvey.get_images(coords, data_release=dr, width=width, pixels=pixels)
 
     image_tester(images_list, 'dummy_hdu_list_fits')

astroquery/desi/tests/test_desi_remote.py

@@ -16,33 +16,26 @@ def test_query_region(self):
         dec = 38.209
         coordinates = SkyCoord(ra, dec, unit='degree')
 
-        radius = Angle(5, unit='arcmin')
+        width = Angle(15, unit='arcsec')
 
-        query1 = DESILegacySurvey.query_region(coordinates, radius=radius, data_release=9)
+        query1 = DESILegacySurvey.query_region(coordinates, width=width, data_release=9)
 
         assert isinstance(query1, Table)
 
-    @pytest.mark.parametrize("valid_inputs", [True, False])
-    def test_get_images(self, valid_inputs):
+    @pytest.mark.parametrize(('ra', 'dec', 'width', 'pixels'),
+                             ((166.1125, 38.209, 0.5, 60),))
+    def test_get_images(self, ra, dec, width, pixels):
+        pos = SkyCoord(ra, dec, unit='degree')
+        width = Angle(width, unit='arcmin')
 
-        if valid_inputs:
-            ra = 166.1125
-            dec = 38.209
-            radius_input = 0.5
-            pixels = 60
-        else:
-            ra = 86.633212
-            dec = 22.01446
-            radius_input = 3
-            pixels = 1296000
+        query1 = DESILegacySurvey.get_images(pos, pixels=pixels, width=width, data_release=9)
+        assert isinstance(query1, list)
+        assert isinstance(query1[0], HDUList)
 
-        pos = SkyCoord(ra, dec, unit='degree')
-        radius = Angle(radius_input, unit='arcmin')
-
-        if valid_inputs:
-            query1 = DESILegacySurvey.get_images(pos, pixels, radius, data_release=9)
-            assert isinstance(query1, list)
-            assert isinstance(query1[0], HDUList)
-        else:
-            with pytest.raises(NoResultsWarning):
-                DESILegacySurvey.get_images(pos, pixels, radius, data_release=9)
+    def test_noresults_warning(self):
+        # Using position with no coverage
+        pos = SkyCoord(86.633212, 22.01446, unit='degree')
+        width = Angle(3, unit='arcmin')
+
+        with pytest.warns(NoResultsWarning):
+            DESILegacySurvey.get_images(pos, width=width, pixels=100)

docs/desi/desi.rst

@@ -16,7 +16,7 @@ Query a region
 
 This example shows how to query a certain region with DesiLegacySurvey.
 We'll use a set of coordinates that define the region of interest,
-and search within a 5 arcmin radius.
+and search within a 15 arcsec box.
 
 .. doctest-remote-data::
 
@@ -25,9 +25,9 @@ and search within a 5 arcmin radius.
     >>> ra = Angle('11h04m27s', unit='hourangle').degree
     >>> dec = Angle('+38d12m32s', unit='hourangle').degree
     >>> coordinates = SkyCoord(ra, dec, unit='degree')
-    >>> radius = Angle(5, unit='arcmin')
-    >>> table_out = DESILegacySurvey.query_region(coordinates, radius, data_release=9)
-    >>> print(table_out[:5])
+    >>> width = Angle(15, unit='arcsec')
+    >>> table_out = DESILegacySurvey.query_region(coordinates, width=width, data_release=9)
+    >>> print(table_out[:5])  # doctest: +IGNORE_OUTPUT
          ls_id              dec                ra         ... type wise_coadd_id
                                                           ...
     ---------------- ----------------- ------------------ ... ---- -------------
@@ -56,8 +56,8 @@ we can define our region in the same way used in the example above.
     >>> pixels = 60
     >>>
     >>> pos = SkyCoord(ra, dec, unit='degree')
-    >>> radius = Angle(radius_input, unit='arcmin')
-    >>> im = DESILegacySurvey.get_images(pos, pixels, radius, data_release=9)
+    >>> width = Angle(radius_input, unit='arcmin')
+    >>> im = DESILegacySurvey.get_images(pos, pixels=pixels, width=width, data_release=9)
 
 All the information we need can be found within the object "im".