Merge branch 'develop' into documentation

tests/correlators_test.py

@@ -129,7 +129,7 @@ def test_m_eff():
     with pytest.warns(RuntimeWarning):
         my_corr.m_eff('sinh')
 
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         my_corr.m_eff('unkown_variant')
 
 
@@ -140,7 +140,7 @@ def test_m_eff_negative_values():
         assert m_eff_log[padding + 1] is None
         m_eff_cosh = my_corr.m_eff('cosh')
         assert m_eff_cosh[padding + 1] is None
-        with pytest.raises(Exception):
+        with pytest.raises(ValueError):
             my_corr.m_eff('logsym')
 
 
@@ -155,7 +155,7 @@ def test_correlate():
     my_corr = pe.correlators.Corr([pe.pseudo_Obs(10, 0.1, 't'), pe.pseudo_Obs(0, 0.05, 't')])
     corr1 = my_corr.correlate(my_corr)
     corr2 = my_corr.correlate(my_corr[0])
-    with pytest.raises(Exception):
+    with pytest.raises(TypeError):
         corr3 = my_corr.correlate(7.3)
 
 
@@ -176,9 +176,9 @@ def test_fit_correlator():
     assert fit_res[0] == my_corr[0]
     assert fit_res[1] == my_corr[1] - my_corr[0]
 
-    with pytest.raises(Exception):
+    with pytest.raises(TypeError):
         my_corr.fit(f, "from 0 to 3")
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         my_corr.fit(f, [0, 2, 3])
 
 
@@ -256,11 +256,11 @@ def test_prange():
     corr = pe.correlators.Corr(corr_content)
 
     corr.set_prange([2, 4])
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         corr.set_prange([2])
-    with pytest.raises(Exception):
+    with pytest.raises(TypeError):
         corr.set_prange([2, 2.3])
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         corr.set_prange([4, 1])
 
 

tests/dirac_test.py

@@ -30,7 +30,7 @@ def test_grid_dirac():
                   'SigmaYZ',
                   'SigmaZT']:
         pe.dirac.Grid_gamma(gamma)
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         pe.dirac.Grid_gamma('Not a gamma matrix')
 
 
@@ -44,7 +44,7 @@ def test_epsilon_tensor():
              (1, 1, 3) : 0.0}
     for key, value in check.items():
         assert pe.dirac.epsilon_tensor(*key) == value
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         pe.dirac.epsilon_tensor(0, 1, 3)
 
 
@@ -59,5 +59,5 @@ def test_epsilon_tensor_rank4():
              (1, 2, 3, 1) : 0.0}
     for key, value in check.items():
         assert pe.dirac.epsilon_tensor_rank4(*key) == value
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         pe.dirac.epsilon_tensor_rank4(0, 1, 3, 4)

tests/obs_test.py

@@ -61,9 +61,9 @@ def test_Obs_exceptions():
         my_obs.plot_rep_dist()
     with pytest.raises(Exception):
         my_obs.plot_piechart()
-    with pytest.raises(Exception):
+    with pytest.raises(TypeError):
         my_obs.gamma_method(S='2.3')
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         my_obs.gamma_method(tau_exp=2.3)
     my_obs.gamma_method()
     my_obs.details()
@@ -199,7 +199,7 @@ def test_gamma_method_no_windowing():
         assert np.isclose(np.sqrt(np.var(obs.deltas['ens'], ddof=1) / obs.shape['ens']), obs.dvalue)
         obs.gamma_method(S=1.1)
         assert obs.e_tauint['ens'] > 0.5
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         obs.gamma_method(S=-0.2)
 
 
@@ -490,12 +490,12 @@ def test_reweighting():
     r_obs2 = r_obs[0] * my_obs
     assert r_obs2.reweighted
     my_covobs = pe.cov_Obs(1.0, 0.003, 'cov')
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         pe.reweight(my_obs, [my_covobs])
     my_obs2 = pe.Obs([np.random.rand(1000)], ['t2'])
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         pe.reweight(my_obs, [my_obs + my_obs2])
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         pe.reweight(my_irregular_obs, [my_obs])
 
 
@@ -505,10 +505,10 @@ def test_merge_obs():
     merged = pe.merge_obs([my_obs1, my_obs2])
     diff = merged - my_obs2 - my_obs1
     assert diff == -(my_obs1.value + my_obs2.value) / 2
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         pe.merge_obs([my_obs1, my_obs1])
     my_covobs = pe.cov_Obs(1.0, 0.003, 'cov')
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         pe.merge_obs([my_obs1, my_covobs])
 
 
@@ -531,11 +531,11 @@ def test_correlate():
     assert corr1 == corr2
 
     my_obs3 = pe.Obs([np.random.rand(100)], ['t'], idl=[range(2, 102)])
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         pe.correlate(my_obs1, my_obs3)
 
     my_obs4 = pe.Obs([np.random.rand(99)], ['t'])
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         pe.correlate(my_obs1, my_obs4)
 
     my_obs5 = pe.Obs([np.random.rand(100)], ['t'], idl=[range(5, 505, 5)])
@@ -544,10 +544,10 @@ def test_correlate():
     assert my_obs5.idl == corr3.idl
 
     my_new_obs = pe.Obs([np.random.rand(100)], ['q3'])
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         pe.correlate(my_obs1, my_new_obs)
     my_covobs = pe.cov_Obs(1.0, 0.003, 'cov')
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         pe.correlate(my_covobs, my_covobs)
     r_obs = pe.reweight(my_obs1, [my_obs1])[0]
     with pytest.warns(RuntimeWarning):
@@ -774,7 +774,7 @@ def test_gamma_method_irregular():
     my_obs.gm()
     idl += [range(1, 400, 4)]
     my_obs = pe.Obs([dat for i in range(len(idl))], ['%s|%d' % ('A', i) for i in range(len(idl))], idl=idl)
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         my_obs.gm()
 
     # check cases where tau is large compared to the chain length
@@ -1122,7 +1122,7 @@ def test_jackknife():
 
     assert np.allclose(tmp_jacks, my_obs.export_jackknife())
     my_new_obs = my_obs + pe.Obs([full_data], ['test2'])
-    with pytest.raises(Exception):
+    with pytest.raises(ValueError):
         my_new_obs.export_jackknife()