fix formatting

Author: Roman Mueller

src/cabinetry/visualize/plot_model.py

@@ -145,12 +145,15 @@ def data_mc(
     n_zero_pred = sum(total_yield == 0.0)  # number of bins with zero predicted yields
     if n_zero_pred > 0:
         log.warning(
-            f"predicted yield is zero in {n_zero_pred} bin(s), excluded from ratio plot"
+            f"predicted yield is zero in {n_zero_pred} bin(s),\
+            excluded from ratio plot"
         )
     nonzero_model_yield = total_yield != 0.0
 
     if np.any(total_yield < 0.0):
-        raise ValueError(f"{label} total yield {total_yield.tolist()} has negative bin(s)")
+        raise ValueError(
+            f"{label} total yield {total_yield.tolist()} has negative bin(s)"
+        )
 
     # add uncertainty band around y=1
     rel_mc_unc = total_model_unc / total_yield
@@ -355,12 +358,16 @@ def templates(
 
             if np.any(nominal_histo["yields"] < 0.0):
                 log.warning(
-                    f"{label} nominal histo yield {nominal_histo['yields'].tolist()} has negative bin(s), taking absolute value for yerr on template ratio plot uncertainty"
+                    f"{label} nominal histo yield {nominal_histo['yields'].tolist()}\
+                        has negative bin(s), taking absolute value for yerr on\
+                        template ratio plot uncertainty"
+                )
+                template_ratio_plot_unc = template["stdev"] / np.abs(
+                    nominal_histo["yields"]
                 )
-                template_ratio_plot_unc = template["stdev"] / np.abs(nominal_histo["yields"])
             else:
                 template_ratio_plot_unc = template["stdev"] / nominal_histo["yields"]
- 
+
             ax2.plot(line_x, line_y, color=color, linestyle=linestyle)
             ax2.errorbar(
                 bin_centers,