Merge pull request mantidproject#38071 from robertapplin/38066-undepr…

…ecate-qeb-algorithms

Remove the deprecation messages in two algorithms

Framework/PythonInterface/plugins/algorithms/WorkflowAlgorithms/BayesQuasi.py

@@ -54,9 +54,7 @@ def category(self):
 
     def summary(self):
         return (
-            "This algorithm is deprecated, please use BayesQuasi2 instead. \n"
-            + "************************************************************* \n \n"
-            + "This algorithm runs the Fortran QLines programs which fits a Delta function of"
+            "This algorithm runs the Fortran QLines programs which fits a Delta function of"
             + " amplitude 0 and Lorentzians of amplitude A(j) and HWHM W(j) where j=1,2,3. The"
             + " whole function is then convolved with the resolution function."
         )
@@ -159,7 +157,6 @@ def PyExec(self):
         from IndirectBayes import CalcErange, GetXYE
 
         setup_prog = Progress(self, start=0.0, end=0.3, nreports=5)
-        self.log().warning("This algorithm is deprecated, please use BayesQuasi2 instead.")
         self.log().information("BayesQuasi input")
 
         erange = [self._e_min, self._e_max]

Framework/PythonInterface/plugins/algorithms/WorkflowAlgorithms/BayesStretch.py

@@ -33,11 +33,7 @@ def category(self):
         return "Workflow\\MIDAS"
 
     def summary(self):
-        return (
-            "This algorithm is deprecated, please use BayesStretch2 instead. \n"
-            + "*************************************************************** \n \n"
-            + "This is a variation of the stretched exponential option of Quasi."
-        )
+        return "This is a variation of the stretched exponential option of Quasi."
 
     def PyInit(self):
         self.declareProperty(
@@ -110,7 +106,6 @@ def PyExec(self):
         from IndirectCommon import check_x_range, check_analysers_or_e_fixed, get_efixed, get_two_theta_and_q, check_hist_zero
 
         setup_prog = Progress(self, start=0.0, end=0.3, nreports=5)
-        logger.warning("This algorithm is deprecated, please use BayesStretch2 instead.")
         logger.information("BayesStretch input")
         logger.information("Sample is %s" % self._sam_name)
         logger.information("Resolution is %s" % self._res_name)