pyKst/demo/testplugins.py

@@ -0,0 +1,36 @@
+#!/usr/bin/python2.7
+import pykst as kst
+
+client=kst.Client("TestPlugins")
+
+v1 = client.new_generated_vector(0, 10, 10)
+v2 = client.new_generated_vector(0, 20, 10)
+
+c1 = client.new_curve(v1, v2)
+
+v4 = c1.x_vector()
+print v4.handle
+print v4.name(), v4.value(0), v4.value(1)
+
+lf1 = client.new_linear_fit(v1, v2)
+
+v3 = lf1.parameters()
+print v3.handle
+print v3.name(), v3.value(0), v3.value(1)
+
+v4 = lf1.fit()
+print v4.name(), v4.value(0), v4.value(1)
+
+v5 = lf1.residuals()
+print v5.name(), v5.value(0), v5.value(1)
+
+v6 = lf1.covariance()
+print v6.name(), v6.value(0), v6.value(1)
+
+x1 = lf1.reduced_chi2()
+print x1.name(), x1.value()
+
+print lf1.slope(), lf1.intercept()
+
+x2 = client.new_generated_scalar(3)
+pf1 = client.new_polynomial_fit(x2, v1, v2)

src/plugins/fits/linear_unweighted/fitlinear_unweighted.cpp

@@ -220,7 +220,7 @@ bool FitLinearUnweightedSource::algorithm() {
     }
   }
 
-//   postcursor( false, pInputs );
+   postcursor( false, pInputs );
 
   return bReturn;
 }