Move test parameters to functions and rename to "parameters"

Author: SabineHaas

tests/test_wind_speed.py

@@ -8,70 +8,63 @@
 
 class TestWindSpeed:
 
-    @classmethod
-    def setup_class(self):
-        self.logarithmic = {'v_wind': pd.Series(data=[5.0, 6.5]),
-                            'z_0': pd.Series(data=[0.15, 0.15]),
-                            'hub_height': 100,
-                            'v_wind_height': 10,
-                            'obstacle_height': 0}
-
-        self.hellman = {'v_wind': pd.Series(data=[5.0, 6.5]),
-                        'hub_height': 100,
-                        'v_wind_height': 10,
-                        'z_0': None,
-                        'hellman_exp': None}
-
     def test_logarithmic_wind_profile(self):
+        parameters = {'v_wind': pd.Series(data=[5.0, 6.5]),
+                      'z_0': pd.Series(data=[0.15, 0.15]),
+                      'hub_height': 100,
+                      'v_wind_height': 10,
+                      'obstacle_height': 0}
         # Test pandas.Series
         v_wind_hub_exp = pd.Series(data=[7.74136523, 10.0637748])
-        assert_series_equal(logarithmic_wind_profile(**self.logarithmic),
+        assert_series_equal(logarithmic_wind_profile(**parameters),
                             v_wind_hub_exp)
         # Test numpy array
-        self.logarithmic['z_0'] = np.array(self.logarithmic['z_0'])
-        self.logarithmic['v_wind'] = np.array(self.logarithmic['v_wind'])
-        assert_allclose(logarithmic_wind_profile(**self.logarithmic),
-                        v_wind_hub_exp)
+        parameters['z_0'] = np.array(parameters['z_0'])
+        parameters['v_wind'] = np.array(parameters['v_wind'])
+        assert_allclose(logarithmic_wind_profile(**parameters), v_wind_hub_exp)
         # Test z_0 is float and obstacle height
         v_wind_hub_exp = np.array([13.54925281, 17.61402865])
-        self.logarithmic['z_0'] = self.logarithmic['z_0'][0]
-        self.logarithmic['obstacle_height'] = 12
-        assert_allclose(logarithmic_wind_profile(**self.logarithmic),
-                        v_wind_hub_exp)
+        parameters['z_0'] = parameters['z_0'][0]
+        parameters['obstacle_height'] = 12
+        assert_allclose(logarithmic_wind_profile(**parameters), v_wind_hub_exp)
         # Raise ValueError due to 0.7 * `obstacle_height` > `v_wind_height`
         with pytest.raises(ValueError):
-            logarithmic_wind_profile(v_wind=5.5, v_wind_height=10,
-                                     hub_height=100, z_0=0.15,
-                                     obstacle_height=20)
+            parameters['obstacle_height'] = 20
+            logarithmic_wind_profile(**parameters)
 
     def test_v_wind_hellman(self):
+        parameters = {'v_wind': pd.Series(data=[5.0, 6.5]),
+                      'hub_height': 100,
+                      'v_wind_height': 10,
+                      'z_0': None,
+                      'hellman_exp': None}
         # Test pandas.Series and z_0 is None
         v_wind_hub_exp = pd.Series(data=[6.9474774, 9.03172])
-        assert_series_equal(v_wind_hellman(**self.hellman), v_wind_hub_exp)
+        assert_series_equal(v_wind_hellman(**parameters), v_wind_hub_exp)
 
         # Test z_0 is float
         v_wind_hub_exp = pd.Series(data=[7.12462437, 9.26201168])
-        self.hellman['z_0'] = 0.15
-        assert_series_equal(v_wind_hellman(**self.hellman), v_wind_hub_exp)
+        parameters['z_0'] = 0.15
+        assert_series_equal(v_wind_hellman(**parameters), v_wind_hub_exp)
 
         # Test array and z_0 is pandas.Series
-        self.hellman['v_wind'] = np.array(self.hellman['v_wind'])
-        self.hellman['z_0'] = pd.Series(data=[0.15, 0.15])
-        assert_allclose(v_wind_hellman(**self.hellman), v_wind_hub_exp)
+        parameters['v_wind'] = np.array(parameters['v_wind'])
+        parameters['z_0'] = pd.Series(data=[0.15, 0.15])
+        assert_allclose(v_wind_hellman(**parameters), v_wind_hub_exp)
 
         # Test z_0 is array
-        self.hellman['z_0'] = np.array(self.hellman['z_0'])
-        assert_allclose(v_wind_hellman(**self.hellman), v_wind_hub_exp)
+        parameters['z_0'] = np.array(parameters['z_0'])
+        assert_allclose(v_wind_hellman(**parameters), v_wind_hub_exp)
 
         # Test hellman_exp is not None
         v_wind_hub_exp = np.array([7.92446596, 10.30180575])
-        self.hellman['hellman_exp'] = 0.2
-        assert_allclose(v_wind_hellman(**self.hellman), v_wind_hub_exp)
+        parameters['hellman_exp'] = 0.2
+        assert_allclose(v_wind_hellman(**parameters), v_wind_hub_exp)
 
         # Raise TypeErrors due to wrong types of `hellman_exp`.
+        parameters['hellman_exp'] = 8
         with pytest.raises(TypeError):
-            v_wind_hellman(v_wind=5.5, v_wind_height=10, hub_height=100,
-                           hellman_exp=8)
+            v_wind_hellman(**parameters)
         with pytest.raises(TypeError):
-            v_wind_hellman(v_wind=5.5, v_wind_height=10, hub_height=100,
-                           hellman_exp=False)
+            parameters['hellman_exp'] = False
+            v_wind_hellman(**parameters)