fix

machine_learning_hep/fitting/roofitter.py

@@ -193,12 +193,12 @@ def create_text_info(x_1, y_1, x_2, y_2):
 
     return text_info
 
-def add_text_info_fit(text_info, frame, ws):
+def add_text_info_fit(text_info, frame, roows):
     chi2 = frame.chiSquare()
-    mean_sgn = ws.var("mean")
-    sigma_sgn = ws.var("sigma_g1")
-    sigmawide_sgn = ws.var("sigma_wide")
-    refl_frac = ws.var("frac_refl")
+    mean_sgn = roows.var("mean")
+    sigma_sgn = roows.var("sigma_g1")
+    sigmawide_sgn = roows.var("sigma_wide")
+    refl_frac = roows.var("frac_refl")
     text_info.AddText(f"#chi^{{2}}/ndf = {chi2:.2f}")
     text_info.AddText(f"#mu = {mean_sgn.getVal():.3f} #pm {mean_sgn.getError():.3f}")
     text_info.AddText(f"#sigma = {sigma_sgn.getVal():.3f} #pm {sigma_sgn.getError():.3f}")
@@ -207,14 +207,10 @@ def add_text_info_fit(text_info, frame, ws):
     if refl_frac:
         text_info.AddText(f"refl.frac. = {refl_frac.getVal():.3f} #pm {refl_frac.getError():.3f}")
 
-    return
-
 
 def add_text_info_perf(text_info, sig, sig_err, bkg, bkg_err, s_over_b, s_over_b_err, signif, signif_err):
 
     text_info.AddText(f"S(3#sigma) = {sig:.0f} #pm {sig_err:.0f}")
     text_info.AddText(f"B(3#sigma) = {bkg:.0f} #pm {bkg_err:.0f}")
     text_info.AddText(f"S/B(3#sigma) = {s_over_b:.3f} #pm {s_over_b_err:.3f}")
     text_info.AddText(f"Signif(3#sigma) = {signif:.1f} #pm {signif_err:.1f}")
-
-    return