cleaning test results

.gitlab-ci.yml

@@ -7,6 +7,7 @@ variables:
   LOCAL_REPO: "/dev/shm/gitlab_ci/xrstools"
   VENV_DIR: /dev/shm/gitlab_ci/xrstools/venv
   USE_CLEAN_VENV: "true"
+  CLEAN_RESULTS: "true"
 
 test:
   stage: test

nonregressions/volumes/test1/test.py

@@ -33,3 +33,9 @@ ref_stack = h5py.File("/data/scisofttmp/mirone/raffaela/volumes_all_energies_ref
 
 
 assert   (np.abs( ref_stack- stack  ).max()<1.0 ) , "difference between stack and reference stack too big" 
+
+
+save_path="results"
+if os.environ["CLEAN_RESULTS"] == "true" :
+    os.system("rm %s/*" % save_path)
+

nonregressions/xes/xes_analysis.py

@@ -51,3 +51,5 @@ ref = np.loadtxt( "results/spectra_ref.txt")
 
 assert( abs(ref-results).max( )< 1.0e-7) 
 
+if os.environ["CLEAN_RESULTS"] == "true" :
+    os.system("rm results/*")

nonregressions/xrs_raman/non_reg_testing_XRS.py

@@ -279,3 +279,6 @@ lw_ex.removeCorePearsonAv('O','K',[52.0,534.0],[570.0,600.0],weights=[2,1], gues
 lw_ex.save_average_Sqw(save_path+'/h2o_pixel_hq.dat', emin=0.0, emax=600.0, normrange=[520.0,600.0])
 
 check_results( os.path.join(save_path,'h2o_pixel_hq.dat') , os.path.join(save_path,"h2o_pixel_hq_ref.dat")   )
+
+if os.environ["CLEAN_RESULTS"] == "true" :
+    os.system("rm %s/*" % save_path)

nonregressions/xrs_raman/non_reg_testing_XRS_raman_extraction.py

@@ -22,6 +22,8 @@ import XRStools.roiSelectionWidget
 
 XRStools.roiSelectionWidget.SKIP_WARNING = True
 
+save_path="results_non_reg_testing_XRS_raman_extraction"
+
 def tosavepath( filename) :
     return os.path.join("results_non_reg_testing_XRS_raman_extraction",filename )
 
@@ -385,3 +387,5 @@ check_results(tosavepath("non_reg_output_gui_raman_mediumq.txt"),tosavepath("non
 check_results(tosavepath("non_reg_output_gui_raman_highq.txt"),tosavepath("non_reg_output_gui_raman_reference_highq.txt"))
 print(" OK " )
 
+if os.environ["CLEAN_RESULTS"] == "true" :
+    os.system("rm %s/*" % save_path)

nonregressions/xrs_raman/non_reg_testing_XRS_small.py

@@ -281,3 +281,6 @@ lw_ex.removeCorePearsonAv('O','K',[52.0,534.0],[570.0,600.0],weights=[2,1], gues
 lw_ex.save_average_Sqw(save_path+'/h2o_pixel_hq_small.dat', emin=0.0, emax=600.0, normrange=[520.0,600.0])
 
 check_results( os.path.join(save_path,'h2o_pixel_hq_small.dat') , os.path.join(save_path,"h2o_pixel_hq_small.dat.ref")   )
+
+if os.environ["CLEAN_RESULTS"] == "true" :
+    os.system("rm %s/*" % save_path)