drop warning checks in tests

Author: kandersolar

tests/spectrum/test_mismatch.py

@@ -112,8 +112,6 @@ def test_spectral_factor_firstsolar_low_airmass():
     m_eq58 = spectrum.spectral_factor_firstsolar(1, 0.58, 'monosi')
     m_lt58 = spectrum.spectral_factor_firstsolar(1, 0.1, 'monosi')
     assert_allclose(m_eq58, m_lt58)
-    with pytest.warns(UserWarning, match='Low airmass values replaced'):
-        _ = spectrum.spectral_factor_firstsolar(1, 0.1, 'monosi')
 
 
 def test_spectral_factor_firstsolar_range():
@@ -122,23 +120,11 @@ def test_spectral_factor_firstsolar_range():
                                               module_type='monosi')
     expected = np.array([0.96080878, 1.03055092, np.nan])
     assert_allclose(out, expected, atol=1e-3)
-    with pytest.warns(UserWarning, match='High precipitable water values '
-                      'replaced'):
-        out = spectrum.spectral_factor_firstsolar(6, 1.5,
-                                                  max_precipitable_water=5,
-                                                  module_type='monosi')
-    with pytest.warns(UserWarning, match='Low precipitable water values '
-                      'replaced'):
-        out = spectrum.spectral_factor_firstsolar(np.array([0, 3, 8]),
-                                                  np.array([1, 3, 5]),
-                                                  module_type='monosi')
+    out = spectrum.spectral_factor_firstsolar(np.array([0, 3, 8]),
+                                              np.array([1, 3, 5]),
+                                              module_type='monosi')
     expected = np.array([0.96080878, 1.03055092, 1.04932727])
     assert_allclose(out, expected, atol=1e-3)
-    with pytest.warns(UserWarning, match='Low precipitable water values '
-                      'replaced'):
-        out = spectrum.spectral_factor_firstsolar(0.2, 1.5,
-                                                  min_precipitable_water=1,
-                                                  module_type='monosi')
 
 
 @pytest.mark.parametrize('airmass,expected', [