Stop ploting option

snp.py

@@ -48,6 +48,9 @@ if __name__=="__main__":
     can.add_argument("-a", "--variation-scale", metavar="RATIO", default=0.3, type=float,
             help="Scale of the variation operators (as a ration of the domain width)")
 
+    can.add_argument("-no", "--no-graphical-output", action='store_true', default=False,
+            help="Disable graphical output")
+
     can.add_argument("-o", "--output-file", metavar="NAME", default=None, type=str,
             help="Output file where log are put")
 
@@ -165,26 +168,28 @@ if __name__=="__main__":
     # Fancy output.
     print("\n{} : {}".format(val,sensors))
 
-    shape=(the.domain_width, the.domain_width)
+    if the.no_graphical_output is False:
+
+        shape=(the.domain_width, the.domain_width)
 
-    fig = plt.figure()
+        fig = plt.figure()
 
-    if the.nb_sensors ==1 and the.domain_width <= 50:
-        ax1 = fig.add_subplot(121, projection='3d')
-        ax2 = fig.add_subplot(122)
+        if the.nb_sensors ==1 and the.domain_width <= 50:
+            ax1 = fig.add_subplot(121, projection='3d')
+            ax2 = fig.add_subplot(122)
 
-        f = make.func(num.cover_sum,
-                        domain_width = the.domain_width,
-                        sensor_range = the.sensor_range * the.domain_width)
-        plot.surface(ax1, shape, f)
-        plot.path(ax1, shape, history)
-    else:
-        ax2=fig.add_subplot(111)
+            f = make.func(num.cover_sum,
+                            domain_width = the.domain_width,
+                            sensor_range = the.sensor_range * the.domain_width)
+            plot.surface(ax1, shape, f)
+            plot.path(ax1, shape, history)
+        else:
+            ax2=fig.add_subplot(111)
 
-    domain = np.zeros(shape)
-    domain = pb.coverage(domain, sensors,
-            the.sensor_range * the.domain_width)
-    domain = plot.highlight_sensors(domain, sensors)
-    ax2.imshow(domain)
+        domain = np.zeros(shape)
+        domain = pb.coverage(domain, sensors,
+                the.sensor_range * the.domain_width)
+        domain = plot.highlight_sensors(domain, sensors)
+        ax2.imshow(domain)
 
-    plt.show()
+        plt.show()