Remove the deprecation messages in BayesQuasi and BayesStretch

Removes these deprecation messages for now because they are confusing.
Currently these algorithms are still being used in the Inelastic Bayes
Fitting interface. At some point we plan to replace the use of the
quasielasticbayes package with quickbayes when it is on conda-forge.

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)