Fixing tests (change to default for P92 FUV lambda caused changes to …

…fit results)
karllark · Jan 13, 2018 · b48a3f5 · b48a3f5
1 parent be4846d
commit b48a3f5
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Showing 2 changed files with 14 additions and 14 deletions.
diff --git a/dust_extinction/tests/test_axavtoexv.py b/dust_extinction/tests/test_axavtoexv.py
@@ -52,12 +52,12 @@ def test_AxAvtoExv_with_P92_fitting():
 
     fit_vals = p92_fit._parameters
 
-    good_vals = [220.806743348, 0.0474488526572, 88.4203515994, 2.0,
-                 17.0089730125, 0.0729612929387, 1.38876455935, 5.63200040759,
-                 0.052051591862, 0.218617616831, -1.95160129592, 2.0,
-                 0.0, 7.0, -278.831631235, 2.0,
-                 0.0, 21.0, -6617.22039032, 2.0,
-                 0.0, 30.0, -4992.15823779, 2.0,
-                 1.29867067922]
+    good_vals = [218.353426543, 0.0483364461588, 90.1590593157, 2.0,
+                 19.3315222458, 0.0672874204509, 0.777521482345, 5.05521692376,
+                 0.0550781710089, 0.218663831017, -1.94939455863, 2.0,
+                 0.0, 13.0, 29.389593976, 2.0,
+                 0.0, 21.0, 927.437855498, 2.0,
+                 0.0, 30.0, 777.989416796, 2.0,
+                 1.3044133337]
 
     np.testing.assert_allclose(good_vals, fit_vals)
diff --git a/dust_extinction/tests/test_p92.py b/dust_extinction/tests/test_p92.py
@@ -63,7 +63,7 @@ def test_extinction_P92_values():
     tmodel = P92()
 
     # test
-    np.testing.assert_allclose(tmodel(x), cor_vals, rtol=0.1, atol=0.01)
+    np.testing.assert_allclose(tmodel(x), cor_vals, rtol=0.25, atol=0.01)
 
 
 def test_P92_fitting():
@@ -82,11 +82,11 @@ def test_P92_fitting():
 
     fit_vals = p92_fit._parameters
 
-    good_vals = [222.820720554, 0.0468116978742, 87.5683270158, 2.0,
-                 18.1622695074, 0.0770527204445, 2.83090815471, 6.40496987921,
-                 0.0518566585953, 0.218641802256, -1.95087797308, 2.0,
-                 0.00600017900912, 13.0, 109.369888618, 2.0,
-                 0.09441454528, 15.0, -251.33735749, 2.0,
-                 0.189219789029, 20.0, -1130.90875587, 2.0]
+    good_vals = [218.957451206, 0.0481323587043, 89.8639079339, 2.0,
+                 19.8918861271, 0.0674934514694, 0.919702726068, 5.1217891448,
+                 0.0548568919776, 0.218664938289, -1.9496661308, 2.0,
+                 0.0, 13.0, 38.279150331, 2.0,
+                 0.0, 15.0, -76.7467816812, 2.0,
+                 0.0, 20.0, -2508.60124085, 2.0]
 
     np.testing.assert_allclose(good_vals, fit_vals)