Documentation and pytest.remote_data annotation

Author: jespinosaar

astroquery/esa/hubble/tests/test_esa_hubble_remote_data.py

@@ -16,6 +16,7 @@
 import unittest
 import os
 
+import pytest
 from astropy.tests.helper import remote_data
 from requests.models import Response
 from astroquery.esa.hubble import ESAHubble
@@ -45,8 +46,7 @@ def remove_last_job():
     if len(jobs) > 0:
         esa_hubble._tap.remove_jobs(jobs[-1].jobid)
 
-
-@remote_data
+@pytest.mark.remote_data
 class TestRemoteData(unittest.TestCase):
 
     temp_file_vot = "/temp.vot"

docs/esa/hubble.rst

@@ -49,7 +49,7 @@ This will download the science files associated to the observation 'J6FL25S4Q' a
 
   >>> from astroquery.esa.hubble import ESAHubble
   >>> esahubble = ESAHubble()
-  >>> esahubble.download_product(observation_id="J6FL25S4Q", product_type="SCIENCE_PRODUCT", filename="science_data_for_J6FL25S4Q.tar")
+  >>> esahubble.download_product(observation_id="J6FL25S4Q", filename="science_data_for_J6FL25S4Q.tar", product_type="SCIENCE_PRODUCT")
 
 This third case will download the science files associated to the observation 'J6FL25S4Q' in raw calibration level and it will store them in a file called
 'science_raw_data_for_J6FL25S4Q.fits.gz', modifying the filename provided to ensure that the extension of the file is correct.
@@ -58,7 +58,7 @@ This third case will download the science files associated to the observation 'J
 
   >>> from astroquery.esa.hubble import ESAHubble
   >>> esahubble = ESAHubble()
-  >>> esahubble.download_product(observation_id="J6FL25S4Q", calibration_level="RAW", product_type="SCIENCE_PRODUCT", filename="science_raw_data_for_J6FL25S4Q")
+  >>> esahubble.download_product(observation_id="J6FL25S4Q", calibration_level="RAW", filename="science_raw_data_for_J6FL25S4Q", product_type="SCIENCE_PRODUCT")
 
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 2. Getting Hubble postcards