Output 1.0, Beispiel s. example.py

src/Output/output.py

@@ -0,0 +1,22 @@
+import matplotlib.pyplot as plt
+from matplotlib import colors
+import numpy as np
+from SchedulingAlgorithms.simanneal import rate
+
+def create_plot(problem, solution):
+    
+    end = rate(solution)
+
+    with plt.xkcd():
+        fig,ax = plt.subplots()
+        for m in range(0, problem.machines):
+            mach_ops = [ x for x in solution if problem.problem_data[x[1][0]][x[1][1]][1] == m ]
+            xranges = [ (x[0], problem.problem_data[x[1][0]][x[1][1]][0]) for x in mach_ops ]
+            ax.broken_barh(xranges, ((problem.machines - m)*10, 9), 
+                    facecolors=[list(colors.XKCD_COLORS.values())[x[1][0]] for x in mach_ops])
+        ax.set_ylim(5, 5 + (problem.machines+1)*10)
+        ax.set_xlim(0, 1.25 * end)
+        ax.set_yticks([15 + m * 10 for m in range(0, problem.machines)])
+        ax.set_yticklabels([ problem.machines - 1 - m for m in range(0, problem.machines)] )
+
+    plt.show()

src/example.py

@@ -1,7 +1,9 @@
-INSTANCES = [(5, 5)]
-TASKS = [[(1, 21), (0, 53), (4, 95), (3, 55), (2, 35)],
-         [(0, 21), (3, 52), (4, 16), (2, 26), (1, 71)],
-         [(3, 39), (4, 98), (1, 42), (2, 31), (0, 12)],
-         [(1, 77), (0, 55), (4, 79), (2, 66), (3, 77)],
-         [(0, 83), (3, 34), (2, 64), (1, 19), (4, 37)]]
+from Generator import generator as g
+from SchedulingAlgorithms import simanneal as sim
+from Output import output as o
 
+g.mock()
+problem = g.problem
+sim.init(problem)
+solution = sim.anneal()
+o.create_plot(problem, solution)