GAIAMNGT-1700 New tests

Author: Jorge Fernandez Hernandez

astroquery/gaia/tests/test_gaiatap.py

@@ -812,14 +812,14 @@ def test_load_data_vot(mock_datalink_querier):
     assert not os.path.exists('datalink_output.zip')
 
 
-def test_load_data_ecsv(mock_datalink_querier_ecsv):
-    result_dict = mock_datalink_querier.load_data(ids=[5937083312263887616], data_release='Gaia DR3',
-                                                  data_structure='INDIVIDUAL',
-                                                  retrieval_type="ALL",
-                                                  linking_parameter='SOURCE_ID', valid_data=False, band=None,
-                                                  avoid_datatype_check=False,
-                                                  format="ecsv", dump_to_file=True, overwrite_output_file=True,
-                                                  verbose=False)
+def test_datalink_querier_load_data_ecsv(mock_datalink_querier_ecsv):
+    result_dict = mock_datalink_querier_ecsv.load_data(ids=[5937083312263887616], data_release='Gaia DR3',
+                                                       data_structure='INDIVIDUAL',
+                                                       retrieval_type="ALL",
+                                                       linking_parameter='SOURCE_ID', valid_data=False, band=None,
+                                                       avoid_datatype_check=False,
+                                                       format="ecsv", dump_to_file=True, overwrite_output_file=True,
+                                                       verbose=False)
 
     assert os.path.exists('datalink_output.zip')
 
@@ -843,14 +843,14 @@ def test_load_data_ecsv(mock_datalink_querier_ecsv):
     assert not os.path.exists('datalink_output.zip')
 
 
-def test_load_data_csv(mock_datalink_querier_ecsv):
-    result_dict = mock_datalink_querier.load_data(ids=[5937083312263887616], data_release='Gaia DR3',
-                                                  data_structure='INDIVIDUAL',
-                                                  retrieval_type="ALL",
-                                                  linking_parameter='SOURCE_ID', valid_data=False, band=None,
-                                                  avoid_datatype_check=False,
-                                                  format="csv", dump_to_file=True, overwrite_output_file=True,
-                                                  verbose=False)
+def test_datalink_querier_load_data_csv(mock_datalink_querier_csv):
+    result_dict = mock_datalink_querier_csv.load_data(ids=[5937083312263887616], data_release='Gaia DR3',
+                                                      data_structure='INDIVIDUAL',
+                                                      retrieval_type="ALL",
+                                                      linking_parameter='SOURCE_ID', valid_data=False, band=None,
+                                                      avoid_datatype_check=False,
+                                                      format="csv", dump_to_file=True, overwrite_output_file=True,
+                                                      verbose=False)
 
     assert os.path.exists('datalink_output.zip')
 
@@ -875,14 +875,14 @@ def test_load_data_csv(mock_datalink_querier_ecsv):
 
 
 @pytest.mark.skip(reason="Thes fits files generate an error relatate to the unit 'log(cm.s**-2)")
-def test_load_data_fits(mock_datalink_querier_fits):
-    result_dict = mock_datalink_querier.load_data(ids=[5937083312263887616], data_release='Gaia DR3',
-                                                  data_structure='INDIVIDUAL',
-                                                  retrieval_type="ALL",
-                                                  linking_parameter='SOURCE_ID', valid_data=False, band=None,
-                                                  avoid_datatype_check=False,
-                                                  format="fits", dump_to_file=True, overwrite_output_file=True,
-                                                  verbose=False)
+def test_datalink_querier_load_data_fits(mock_datalink_querier_fits):
+    result_dict = mock_datalink_querier_fits.load_data(ids=[5937083312263887616], data_release='Gaia DR3',
+                                                       data_structure='INDIVIDUAL',
+                                                       retrieval_type="ALL",
+                                                       linking_parameter='SOURCE_ID', valid_data=False, band=None,
+                                                       avoid_datatype_check=False,
+                                                       format="fits", dump_to_file=True, overwrite_output_file=True,
+                                                       verbose=False)
 
     assert os.path.exists('datalink_output.zip')