Now computing casting probability over turns

analyze.py

@@ -39,6 +39,24 @@ def mana_curve(deck):
     for c in costs:
         data[c] += 1
     return data
+  
+def rampup(deck, type=None):
+    print '{0} Rampup'.format((type if type else 'spell').title())
+    print '-' * 80
+    land = [c for c in deck if 'land' in c.type.split(' ')]
+    cards = [c for c in deck if c.cost.converted() > 0]
+    if type:
+      cards = [c for c in cards if type in c.type.split(' ')]
+    avgCost = sum([c.cost.converted() for c in cards]) / float(len(cards))
+    maxCost = sorted([c.cost.converted() for c in cards]).pop()
+    print 'Average {0} cost: {1:.3f}'.format(type if type else 'spell', avgCost)
+    avgCost = int(round(avgCost))
+    for turn in range(avgCost, maxCost + 1):
+        castable = [c for c in cards if c.cost.converted() <= turn]
+        pm = 1 - draw_probability(len(land), deck, avgCost, turn)
+        pc = 1 - draw_probability(len(castable), deck, 1, turn, avgCost)
+        p = 1 - pm - pc
+        print 'Probability of drawing {0} mana in {1} turns with a castable {3}: {2:.3f}'.format(avgCost, turn, p * 100, type if type else 'spell')
 def types(deck):
     return {
         'Lands': len([c for c in deck if 'land' in c.type.split(' ')]),
@@ -102,6 +120,8 @@ if __name__ == '__main__':
         graph(types(deck), '\nCard Types')
         graph(colors(deck), '\nColors')
         graph(rarities(deck), '\nRarities')
-
-        print '\nProbability of drawing 4 mana in 4 turns: {0:.3f}'.format(100 * draw_probability(len([c for c in deck if 'land' in c.type.split(' ')]), deck, 4, 4))
-        print 'Probability of drawing a creature costing 4 or fewer mana in 4 turns: {0:.3f}'.format(100 * draw_probability(len([c for c in deck if 'creature' in c.type.split(' ') and c.cost.converted() <= 4]), deck, 1, 4, 4))
+        
+        print
+        rampup(deck)
+        print
+        rampup(deck, 'creature');