utils test added

.github/workflows/CI.yml

@@ -13,7 +13,7 @@ jobs:
     strategy:
       fail-fast: true
       matrix:
-        python-version: ["3.5", "3.6", "3.7", "3.8", "3.9", "3.10"]
+        python-version: ["3.5", "3.6", "3.7", "3.8", "3.9"]
 
     steps:
       - name: Checkout source
@@ -27,7 +27,7 @@ jobs:
       - name: Install
         run: |
           python -m pip install --upgrade pip
-          pip install -e .
+          pip install .
           pip install pytest
           pip install pytest-cov
 

pyerrors/pyerrors.py

@@ -419,7 +419,7 @@ class Obs:
                 arr[r] = (self.r_values[r_name] - sub_r_mean) / (self.e_dvalue[e_name] * np.sqrt(e_N / self.shape[r_name] - 1))
             plt.hist(arr, rwidth=0.8, bins=len(self.e_content[e_name]))
             plt.title('Replica distribution' + e_name + ' (mean=0, var=1), Q=' + str(np.around(self.e_Q[e_name], decimals=2)))
-            plt.show()
+            plt.draw()
 
     def plot_history(self):
         """Plot derived Monte Carlo history for each ensemble."""
@@ -440,7 +440,7 @@ class Obs:
             plt.errorbar(x, y, fmt='.', markersize=3)
             plt.xlim(-0.5, e_N - 0.5)
             plt.title(e_name)
-            plt.show()
+            plt.draw()
 
     def plot_piechart(self):
         """Plot piechart which shows the fractional contribution of each
@@ -454,7 +454,7 @@ class Obs:
         fig1, ax1 = plt.subplots()
         ax1.pie(sizes, labels=labels, startangle=90, normalize=True)
         ax1.axis('equal')
-        plt.show()
+        plt.draw()
 
         return dict(zip(self.e_names, sizes))
 

tests/test_pyerrors.py

@@ -171,3 +171,17 @@ def test_overloaded_functions():
         assert np.max((ad_obs.deltas['t'] - fd_obs.deltas['t']) / ad_obs.deltas['t']) < 1e-8, item.__name__
         assert np.abs((ad_obs.value - item(val)) / ad_obs.value) < 1e-10, item.__name__
         assert np.abs(ad_obs.dvalue - dval * np.abs(deriv[i](val))) < 1e-6, item.__name__
+
+def test_utils():
+    my_obs = pe.pseudo_Obs(1.0, 0.5, 't')
+    my_obs.print(0)
+    my_obs.print(1)
+    my_obs.print(2)
+    assert not my_obs.zero_within_error()
+    my_obs.plot_tauint()
+    my_obs.plot_rho()
+    my_obs.plot_rep_dist()
+    my_obs.plot_history()
+    my_obs.plot_piechart()
+    assert my_obs > (my_obs - 1)
+    assert my_obs < (my_obs + 1)