Index: trunk/tests/test_extract_data.py
===================================================================
diff -u -r116 -r120
--- trunk/tests/test_extract_data.py	(.../test_extract_data.py)	(revision 116)
+++ trunk/tests/test_extract_data.py	(.../test_extract_data.py)	(revision 120)
@@ -16,73 +16,6 @@
 class Test_get_era5:
 
     @pytest.mark.systemtest
-    def test_extract_non_gridded_then_gridded(self):
-        self.test_extract_nongridded_data()
-        self.test_extract_gridded_data()
-
-    @pytest.mark.systemtest
-    def test_extract_nongridded_data(self):
-        acceptance_folder = TestUtils.get_local_test_data_dir('acceptance_tests\\data')
-        DS = Dataset(os.path.join(acceptance_folder, 'NS_WAM_ERA5.nc'))
-        assert DS
-        lonWAM = DS.variables['lon'][:]
-        latWAM = DS.variables['lat'][:]
-
-        coordsWAM = {'LON': [], 'LAT': []}
-        for i, j in zip(lonWAM, latWAM):
-            coordsWAM['LON'].append(i)
-            coordsWAM['LAT'].append(j)
-
-        # set other data variables    
-        variables = [] # saved names of the entries
-        for i in DS.variables:
-            print(i, DS.variables[i].shape)
-            variables.append(i)
-        varWAM = [v.lower() for v in variables[5:]]
-        timeWAMy = [1981] # 1987 to 2018
-
-        # use the SDToolBox function to create input data
-        Input_DataWAM = InputData(
-            input_coordinates=coordsWAM,
-            input_variables=varWAM,
-            input_scenarios=['era5'],
-            input_years=timeWAMy) # default is_gridded is false, referring to points
-
-        # use the SDToolBox function to extract data
-        # dir_test_data = 'P:\\metocean-data\\open\\ERA5\\data\\Global'
-        dir_test_data = TestUtils.get_local_test_data_dir('era5_test_data')
-        extracted_data = ExtractData.get_era_5(dir_test_data, Input_DataWAM)
-        assert extracted_data is not None
-
-
-    @pytest.mark.systemtest
-    def test_extract_gridded_data(self):
-        steplon = 0.5 # degrees
-        lonl = -5 # left lon value
-        lonr = 11 # right lon value
-        steplat = 0.5
-        latl = 50 # lower lat value
-        latu = 62 # upper lat value
-        xrang = np.arange(lonl, lonr+steplon, steplon).tolist() 
-        yrang = np.arange(latl, latu+steplat, steplat).tolist() 
-
-        coordsBOX = {'LON': xrang, 'LAT': yrang}
-        timeWAMy = [1981] # 1987 to 2018
-        # use the SDToolBox function to create input data
-        Input_DataBOX = InputData(
-            input_coordinates=coordsBOX, 
-            input_variables=['msl'], 
-            input_scenarios=['era5'],
-            input_years=timeWAMy, 
-            is_gridded = True)
-        # dir_test_data = 'P:\\metocean-data\\open\\ERA5\\data\\Global'
-        dir_test_data = TestUtils.get_local_test_data_dir('era5_test_data')
-        extracted_data = ExtractData.get_era_5(dir_test_data, Input_DataBOX)
-
-        assert extracted_data is not None
-
-
-    @pytest.mark.systemtest
     def test_given_list_of_coordinates_then_subset_is_extracted(self):
         # 1. Given
         # When using local data you can just replace the comment in these lines